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Aßmann ES, Ose J, Hathaway CA, Oswald LB, Hardikar S, Himbert C, Chellam V, Lin T, Daniels B, Kirchhoff AC, Gigic B, Grossman D, Tward J, Varghese TK, Shibata D, Figueiredo JC, Toriola AT, Beck A, Scaife C, Barnes CA, Matsen C, Ma DS, Colman H, Hunt JP, Jones KB, Lee CJ, Larson M, Onega T, Akerley WL, Li CI, Grady WM, Schneider M, Dinkel A, Islam JY, Gonzalez BD, Otto AK, Penedo FJ, Siegel EM, Tworoger SS, Ulrich CM, Peoples AR. Risk factors and health behaviors associated with loneliness among cancer survivors during the COVID-19 pandemic. J Behav Med 2024; 47:405-421. [PMID: 38418709 DOI: 10.1007/s10865-023-00465-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 12/27/2023] [Indexed: 03/02/2024]
Abstract
Loneliness may exacerbate poor health outcomes particularly among cancer survivors during the COVID-19 pandemic. Little is known about the risk factors of loneliness among cancer survivors. We evaluated the risk factors of loneliness in the context of COVID-19 pandemic-related prevention behaviors and lifestyle/psychosocial factors among cancer survivors. Cancer survivors (n = 1471) seen at Huntsman Cancer Institute completed a survey between August-September 2020 evaluating health behaviors, medical care, and psychosocial factors including loneliness during COVID-19 pandemic. Participants were classified into two groups: 'lonely' (sometimes, usually, or always felt lonely in past month) and 'non-lonely' (never or rarely felt lonely in past month). 33% of cancer survivors reported feeling lonely in the past month. Multivariable logistic regression showed female sex, not living with a spouse/partner, poor health status, COVID-19 pandemic-associated lifestyle factors including increased alcohol consumption and marijuana/CBD oil use, and psychosocial stressors such as disruptions in daily life, less social interaction, and higher perceived stress and financial stress were associated with feeling lonely as compared to being non-lonely (all p < 0.05). A significant proportion of participants reported loneliness, which is a serious health risk among vulnerable populations, particularly cancer survivors. Modifiable risk factors such as unhealthy lifestyle behaviors and psychosocial stress were associated with loneliness. These results highlight the need to screen for unhealthy lifestyle factors and psychosocial stressors to identify cancer survivors at increased risk of loneliness and to develop effective management strategies.
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Affiliation(s)
- Elena S Aßmann
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- School of Medicine, Technical University of Munich, Munich, Germany
| | - Jennifer Ose
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Cassandra A Hathaway
- Department of Cancer Epidemiology, Division of Population Science, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Laura B Oswald
- Department of Health Outcomes and Behavior, Division of Population Science, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Sheetal Hardikar
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Caroline Himbert
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | | | - Tengda Lin
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | | | - Anne C Kirchhoff
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Pediatrics, Division of Hematology/Oncology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | | | - Douglas Grossman
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Dermatology, University of Utah, Salt Lake City, UT, USA
| | - Jonathan Tward
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Radiation Oncology, University of Utah, Salt Lake City, UT, USA
| | - Thomas K Varghese
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Surgery, University of Utah, Salt Lake City, UT, USA
| | - David Shibata
- Department of Surgery, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jane C Figueiredo
- Department of Medicine, Cedars-Sinai Medical Center, Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
| | - Adetunji T Toriola
- Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Anna Beck
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Courtney Scaife
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Surgery, University of Utah, Salt Lake City, UT, USA
| | - Christopher A Barnes
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT, USA
| | - Cindy Matsen
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Surgery, University of Utah, Salt Lake City, UT, USA
| | - Debra S Ma
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Howard Colman
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Neurosurgery, University of Utah, Salt Lake City, UT, USA
| | - Jason P Hunt
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Surgery, University of Utah, Salt Lake City, UT, USA
| | - Kevin B Jones
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Orthopedics, University of Utah, Salt Lake City, UT, USA
| | - Catherine J Lee
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Transplant and Cellular Therapy Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | | | - Tracy Onega
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Wallace L Akerley
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | | | | | | | - Andreas Dinkel
- Department of Psychosomatic Medicine and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Jessica Y Islam
- Department of Cancer Epidemiology, Division of Population Science, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Brian D Gonzalez
- Department of Health Outcomes and Behavior, Division of Population Science, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Amy K Otto
- Sylvester Comprehensive Cancer Center, Miami, FL, USA
- Department of Public Health Sciences, University of Miami, Coral Gables, FL, USA
| | - Frank J Penedo
- Sylvester Comprehensive Cancer Center, Miami, FL, USA
- Departments of Psychology and Medicine, University of Miami, Coral Gables, FL, USA
| | - Erin M Siegel
- Department of Cancer Epidemiology, Division of Population Science, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Division of Population Science, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, UT, USA.
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.
| | - Anita R Peoples
- Huntsman Cancer Institute, Salt Lake City, UT, USA.
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.
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Chen Z, Guo X, Tao R, Huyghe JR, Law PJ, Fernandez-Rozadilla C, Ping J, Jia G, Long J, Li C, Shen Q, Xie Y, Timofeeva MN, Thomas M, Schmit SL, Díez-Obrero V, Devall M, Moratalla-Navarro F, Fernandez-Tajes J, Palles C, Sherwood K, Briggs SEW, Svinti V, Donnelly K, Farrington SM, Blackmur J, Vaughan-Shaw PG, Shu XO, Lu Y, Broderick P, Studd J, Harrison TA, Conti DV, Schumacher FR, Melas M, Rennert G, Obón-Santacana M, Martín-Sánchez V, Oh JH, Kim J, Jee SH, Jung KJ, Kweon SS, Shin MH, Shin A, Ahn YO, Kim DH, Oze I, Wen W, Matsuo K, Matsuda K, Tanikawa C, Ren Z, Gao YT, Jia WH, Hopper JL, Jenkins MA, Win AK, Pai RK, Figueiredo JC, Haile RW, Gallinger S, Woods MO, Newcomb PA, Duggan D, Cheadle JP, Kaplan R, Kerr R, Kerr D, Kirac I, Böhm J, Mecklin JP, Jousilahti P, Knekt P, Aaltonen LA, Rissanen H, Pukkala E, Eriksson JG, Cajuso T, Hänninen U, Kondelin J, Palin K, Tanskanen T, Renkonen-Sinisalo L, Männistö S, Albanes D, Weinstein SJ, Ruiz-Narvaez E, Palmer JR, Buchanan DD, Platz EA, Visvanathan K, Ulrich CM, Siegel E, Brezina S, Gsur A, Campbell PT, Chang-Claude J, Hoffmeister M, Brenner H, Slattery ML, Potter JD, Tsilidis KK, Schulze MB, Gunter MJ, Murphy N, Castells A, Castellví-Bel S, Moreira L, Arndt V, Shcherbina A, Bishop DT, Giles GG, Southey MC, Idos GE, McDonnell KJ, Abu-Ful Z, Greenson JK, Shulman K, Lejbkowicz F, Offit K, Su YR, Steinfelder R, Keku TO, van Guelpen B, Hudson TJ, Hampel H, Pearlman R, Berndt SI, Hayes RB, Martinez ME, Thomas SS, Pharoah PDP, Larsson SC, Yen Y, Lenz HJ, White E, Li L, Doheny KF, Pugh E, Shelford T, Chan AT, Cruz-Correa M, Lindblom A, Hunter DJ, Joshi AD, Schafmayer C, Scacheri PC, Kundaje A, Schoen RE, Hampe J, Stadler ZK, Vodicka P, Vodickova L, Vymetalkova V, Edlund CK, Gauderman WJ, Shibata D, Toland A, Markowitz S, Kim A, Chanock SJ, van Duijnhoven F, Feskens EJM, Sakoda LC, Gago-Dominguez M, Wolk A, Pardini B, FitzGerald LM, Lee SC, Ogino S, Bien SA, Kooperberg C, Li CI, Lin Y, Prentice R, Qu C, Bézieau S, Yamaji T, Sawada N, Iwasaki M, Le Marchand L, Wu AH, Qu C, McNeil CE, Coetzee G, Hayward C, Deary IJ, Harris SE, Theodoratou E, Reid S, Walker M, Ooi LY, Lau KS, Zhao H, Hsu L, Cai Q, Dunlop MG, Gruber SB, Houlston RS, Moreno V, Casey G, Peters U, Tomlinson I, Zheng W. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes. Nat Commun 2024; 15:3557. [PMID: 38670944 DOI: 10.1038/s41467-024-47399-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Genome-wide association studies (GWAS) have identified more than 200 common genetic variants independently associated with colorectal cancer (CRC) risk, but the causal variants and target genes are mostly unknown. We sought to fine-map all known CRC risk loci using GWAS data from 100,204 cases and 154,587 controls of East Asian and European ancestry. Our stepwise conditional analyses revealed 238 independent association signals of CRC risk, each with a set of credible causal variants (CCVs), of which 28 signals had a single CCV. Our cis-eQTL/mQTL and colocalization analyses using colorectal tissue-specific transcriptome and methylome data separately from 1299 and 321 individuals, along with functional genomic investigation, uncovered 136 putative CRC susceptibility genes, including 56 genes not previously reported. Analyses of single-cell RNA-seq data from colorectal tissues revealed 17 putative CRC susceptibility genes with distinct expression patterns in specific cell types. Analyses of whole exome sequencing data provided additional support for several target genes identified in this study as CRC susceptibility genes. Enrichment analyses of the 136 genes uncover pathways not previously linked to CRC risk. Our study substantially expanded association signals for CRC and provided additional insight into the biological mechanisms underlying CRC development.
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Affiliation(s)
- Zhishan Chen
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, 37232, TN, USA
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Philip J Law
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Ceres Fernandez-Rozadilla
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
- Genomic Medicine Group, Instituto de Investigacion Sanitaria de Santiago, Santiago de Compostela, Spain
| | - Jie Ping
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Guochong Jia
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Chao Li
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Quanhu Shen
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuhan Xie
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Maria N Timofeeva
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Danish Institute for Advanced Study, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Minta Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, USA
| | - Virginia Díez-Obrero
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, Spain
| | - Matthew Devall
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Ferran Moratalla-Navarro
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, Spain
| | - Juan Fernandez-Tajes
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Claire Palles
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Kitty Sherwood
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Sarah E W Briggs
- Department of Public Health, Richard Doll Building, University of Oxford, Oxford, UK
| | - Victoria Svinti
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Kevin Donnelly
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Susan M Farrington
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - James Blackmur
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Peter G Vaughan-Shaw
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yingchang Lu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Peter Broderick
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - James Studd
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - David V Conti
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Fredrick R Schumacher
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Marilena Melas
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
| | - Gad Rennert
- Clalit National Cancer Control Center, Haifa, Israel
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Mireia Obón-Santacana
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, Spain
| | - Vicente Martín-Sánchez
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
- Biomedicine Institute, University of León, León, Spain
| | - Jae Hwan Oh
- Center for Colorectal Cancer, National Cancer Center Hospital, National Cancer Center, Gyeonggi-do, South Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, South Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea
| | - Keum Ji Jung
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea
| | - Aesun Shin
- Cancer Research Institute, Seoul National University, Seoul, South Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Dong-Hyun Kim
- Department of Social and Preventive Medicine, Hallym University College of Medicine, Okcheon-dong, South Korea
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Keitaro Matsuo
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Chizu Tanikawa
- Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Zefang Ren
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yu-Tang Gao
- State Key Laboratory of Oncogenes and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Jane C Figueiredo
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Robert W Haile
- Division of Oncology, Department of Medicine, Cedars-Sinai Cancer Research Center for Health Equity, Los Angeles, CA, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada
| | - Michael O Woods
- Division of Biomedical Sciences, Memorial University of Newfoundland, St. John, ON, Canada
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- School of Public Health, University of Washington, Seattle, WA, USA
| | - David Duggan
- City of Hope National Medical Center, Translational Genomics Research Institute, Phoenix, AZ, USA
| | | | - Richard Kaplan
- MRC Clinical Trials Unit, Medical Research Council, Cardiff, UK
| | - Rachel Kerr
- Department of Oncology, University of Oxford, Oxford, UK
| | - David Kerr
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Iva Kirac
- Department of Surgical Oncology, University Hospital for Tumors, Sestre milosrdnice University Hospital Center, Zagreb, Croatia
| | - Jan Böhm
- Department of Pathology, Central Finland Health Care District, Jyväskylä, Finland
| | | | - Pekka Jousilahti
- Department of Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Paul Knekt
- Department of Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Lauri A Aaltonen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Harri Rissanen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Eero Pukkala
- Faculty of Social Sciences, Tampere University, Tampere, Finland
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
| | - Johan G Eriksson
- Folkhälsan Research Centre, University of Helsinki, Helsinki, Finland
- Human Potential Translational Research Programme, National University of Singapore, Singapore, Singapore
- Unit of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Tatiana Cajuso
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Ulrika Hänninen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Johanna Kondelin
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Kimmo Palin
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Tomas Tanskanen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | | | - Satu Männistö
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Edward Ruiz-Narvaez
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Julie R Palmer
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, University of Melbourne, Parkville, VIC, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Erin Siegel
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Stefanie Brezina
- Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg, Hamburg, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany
- German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Kostas K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Antoni Castells
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, University of Barcelona, Barcelona, Spain
| | - Sergi Castellví-Bel
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, University of Barcelona, Barcelona, Spain
| | - Leticia Moreira
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, University of Barcelona, Barcelona, Spain
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Anna Shcherbina
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - D Timothy Bishop
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Department of Clinical Pathology, University of Melbourne, Melbourne, VIC, Australia
| | - Gregory E Idos
- Department of Medical Oncology and Center For Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Kevin J McDonnell
- Clalit National Cancer Control Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Department of Medical Oncology and Center For Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Zomoroda Abu-Ful
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Joel K Greenson
- Clalit National Cancer Control Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Katerina Shulman
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Flavio Lejbkowicz
- Clalit National Cancer Control Center, Haifa, Israel
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Clalit Health Services, Personalized Genomic Service, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Yu-Ru Su
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Robert Steinfelder
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Bethany van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | | | - Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Rachel Pearlman
- Division of Human Genetics, Department of Internal Medicine, Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Richard B Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Marie Elena Martinez
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
- Population Sciences, Disparities and Community Engagement, University of California San Diego Moores Cancer Center, La Jolla, CA, USA
| | | | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Yun Yen
- Taipei Medical University, Taipei, Taiwan
| | - Heinz-Josef Lenz
- Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Li Li
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Kimberly F Doheny
- Center for Inherited Disease Research, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elizabeth Pugh
- Center for Inherited Disease Research, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tameka Shelford
- Center for Inherited Disease Research, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Andrew T Chan
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Marcia Cruz-Correa
- Comprehensive Cancer Center, University of Puerto Rico, San Juan, Puerto Rico
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Clemens Schafmayer
- Department of General Surgery, University Hospital Rostock, Rostock, Germany
| | - Peter C Scacheri
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Jochen Hampe
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden, Dresden, Germany
| | - Zsofia K Stadler
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Ludmila Vodickova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Veronika Vymetalkova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Christopher K Edlund
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - W James Gauderman
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - David Shibata
- Department of Surgery, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Amanda Toland
- Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, Ohio State University, Columbus, OH, USA
| | - Sanford Markowitz
- Departments of Medicine and Genetics, Case Comprehensive Cancer Center, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH, USA
| | - Andre Kim
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Franzel van Duijnhoven
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Edith J M Feskens
- Division of Human Nutrition, Wageningen University and Research, Wageningen, The Netherlands
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Public Foundation of Genomic Medicine, Servicio Galego de Saude, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Barbara Pardini
- Candiolo Cancer Institute FPO-IRCCS, Candiolo, (TO), Italy
- Italian Institute for Genomic Medicine, Candiolo Cancer Institute FPO-IRCCS, Candiolo, (TO), Italy
| | - Liesel M FitzGerald
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Soo Chin Lee
- National University Cancer Institute, Singapore, Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cancer Immunology Program, Dana-Farber Harvard Cancer Center, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ross Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire Nantes, Nantes, France
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | | | - Anna H Wu
- Preventative Medicine, University of Southern California, Los Angeles, CA, USA
| | - Chenxu Qu
- USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Caroline E McNeil
- USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Sarah E Harris
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Stuart Reid
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Marion Walker
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Li Yin Ooi
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Department of Pathology, National University Hospital, National University Health System, Singapore, Singapore
| | - Ken S Lau
- Epithelial Biology Center and Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Malcolm G Dunlop
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Stephen B Gruber
- Department of Medical Oncology and Center For Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Richard S Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Victor Moreno
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, Spain
| | - Graham Casey
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Ian Tomlinson
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
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3
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Peruchet-Noray L, Sedlmeier AM, Dimou N, Baurecht H, Fervers B, Fontvieille E, Konzok J, Tsilidis KK, Christakoudi S, Jansana A, Cordova R, Bohmann P, Stein MJ, Weber A, Bézieau S, Brenner H, Chan AT, Cheng I, Figueiredo JC, Garcia-Etxebarria K, Moreno V, Newton CC, Schmit SL, Song M, Ulrich CM, Ferrari P, Viallon V, Carreras-Torres R, Gunter MJ, Freisling H. Tissue-specific genetic variation suggests distinct molecular pathways between body shape phenotypes and colorectal cancer. Sci Adv 2024; 10:eadj1987. [PMID: 38640244 PMCID: PMC11029802 DOI: 10.1126/sciadv.adj1987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 03/12/2024] [Indexed: 04/21/2024]
Abstract
It remains unknown whether adiposity subtypes are differentially associated with colorectal cancer (CRC). To move beyond single-trait anthropometric indicators, we derived four multi-trait body shape phenotypes reflecting adiposity subtypes from principal components analysis on body mass index, height, weight, waist-to-hip ratio, and waist and hip circumference. A generally obese (PC1) and a tall, centrally obese (PC3) body shape were both positively associated with CRC risk in observational analyses in 329,828 UK Biobank participants (3728 cases). In genome-wide association studies in 460,198 UK Biobank participants, we identified 3414 genetic variants across four body shapes and Mendelian randomization analyses confirmed positive associations of PC1 and PC3 with CRC risk (52,775 cases/45,940 controls from GECCO/CORECT/CCFR). Brain tissue-specific genetic instruments, mapped to PC1 through enrichment analysis, were responsible for the relationship between PC1 and CRC, while the relationship between PC3 and CRC was predominantly driven by adipose tissue-specific genetic instruments. This study suggests distinct putative causal pathways between adiposity subtypes and CRC.
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Affiliation(s)
- Laia Peruchet-Noray
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Anja M. Sedlmeier
- Center for Translational Oncology, University Hospital Regensburg, Regensburg, Germany
- Bavarian Cancer Research Center (BZKF), Regensburg, Germany
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Niki Dimou
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Hansjörg Baurecht
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Béatrice Fervers
- Département Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France
| | - Emma Fontvieille
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Julian Konzok
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Kostas K. Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary’s Campus, Norfolk Place, London W2 1PG, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Sofia Christakoudi
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary’s Campus, Norfolk Place, London W2 1PG, UK
- Department of Inflammation Biology, School of Immunology & Microbial Sciences, King’s College London, London, UK
| | - Anna Jansana
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Reynalda Cordova
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Patricia Bohmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Michael J. Stein
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Andrea Weber
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Andrew T. Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Jane C. Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Koldo Garcia-Etxebarria
- Biodonostia, Gastrointestinal Genetics Group, San Sebastián, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Barcelona, Spain
| | - Victor Moreno
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L’Hospitalet del Llobregat, 08908 Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, 08908 Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
| | | | - Stephanie L. Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, USA
| | - Mingyang Song
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Departments of Epidemiology and Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Cornelia M. Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Pietro Ferrari
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Vivian Viallon
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Robert Carreras-Torres
- Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), Salt, Girona, Spain
| | - Marc J. Gunter
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary’s Campus, Norfolk Place, London W2 1PG, UK
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
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4
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Oswald LB, Bloomer A, Li X, Jean-Baptiste E, Trujillo G, Felder S, Small BJ, Ose J, Hardikar S, Strehli I, Huang LC, Mooney K, Mutch MG, Chao D, Cohen SA, Karchi M, Wood EH, Damerell V, Loroña NC, Gong J, Toriola AT, Li CI, Shibata D, Schneider M, Gigic B, Figueiredo JC, Jim HSL, Ulrich CM, Siegel EM. Functional quality of life among newly diagnosed young adult colorectal cancer survivors compared to older adults: results from the ColoCare Study. Support Care Cancer 2024; 32:298. [PMID: 38639810 DOI: 10.1007/s00520-024-08511-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/16/2024] [Indexed: 04/20/2024]
Abstract
PURPOSE Colorectal cancer (CRC) incidence and mortality are increasing among young adults (YAs) aged 18-39. This study compared quality of life (QOL) between YA and older adult CRC survivors in the ColoCare Study. METHODS Participants were grouped by age (years) as follows: 18-39 (YA), 40-49, 50-64, and 65 + . Functional QOL (physical, social, role, emotional, cognitive) and global QOL were assessed with the EORTC-QLQ-C30 at enrollment, 3, 6, and 12 months. Average scores were compared between groups over time using longitudinal mixed-effect modeling. Proportions with clinically meaningful QOL impairment were calculated using age-relevant thresholds and compared between groups over time using logistic regression with mixed effects. RESULTS Participants (N = 1590) were n = 81 YAs, n = 196 aged 40-49, n = 627 aged 50-64, and n = 686 aged 65 + . Average physical function was better among YAs than participants aged 50-64 (p = 0.010) and 65 + (p < 0.001), and average social function was worse among YAs than aged 65 + (p = 0.046). Relative to YAs, all age groups were less likely to report clinically meaningful social dysfunction (aged 40-49 OR = 0.13, 95%CI = 0.06-0.29; aged 50-64 OR = 0.10, 95%CI = 0.05-0.21; aged 65 + OR = 0.07, 95%CI = 0.04-0.15) and role dysfunction (aged 40-49 OR = 0.36, 95%CI = 0.18-0.75; aged 50-64 OR = 0.41, 95%CI = 0.22-0.78; aged 65 + OR = 0.32, 95%CI = 0.17-0.61). Participants aged 40-49 were also less likely to report physical dysfunction (OR = 0.42, 95%CI = 0.19-0.93). CONCLUSION YA CRC survivors reported better physical and worse social function compared to older CRC survivors, and YA CRC survivors were more likely to report clinically meaningful social, role, and physical disfunction. Future work should further investigate QOL using age-relevant benchmarks to inform best practices for CRC survivorship care. TRIAL REGISTRATION NCT02328677, registered December 2014.
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Affiliation(s)
- Laura B Oswald
- Moffitt Cancer Center, 12902 USF Magnolia Drive, MRC-HOB, Tampa, FL, 33612, USA.
| | - Amanda Bloomer
- Moffitt Cancer Center, 12902 USF Magnolia Drive, MRC-HOB, Tampa, FL, 33612, USA
| | - Xiaoyin Li
- Moffitt Cancer Center, 12902 USF Magnolia Drive, MRC-HOB, Tampa, FL, 33612, USA
| | | | - Gillian Trujillo
- Moffitt Cancer Center, 12902 USF Magnolia Drive, MRC-HOB, Tampa, FL, 33612, USA
| | - Seth Felder
- Moffitt Cancer Center, 12902 USF Magnolia Drive, MRC-HOB, Tampa, FL, 33612, USA
| | - Brent J Small
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer Ose
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- University of Utah, Salt Lake City, UT, USA
- University of Applied Sciences and Arts, Hanover, Germany
| | - Sheetal Hardikar
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- University of Utah, Salt Lake City, UT, USA
| | | | - Lyen C Huang
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- University of Utah, Salt Lake City, UT, USA
| | - Kathi Mooney
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- University of Utah, Salt Lake City, UT, USA
| | | | - Dante Chao
- Washington University School of Medicine, St. Louis, MO, USA
- Siteman Cancer Center, St. Louis, MO, USA
| | | | - Meghana Karchi
- University of Tennessee Health Science Center, Memphis, TN, USA
| | | | | | - Nicole C Loroña
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jun Gong
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Adetunji T Toriola
- Washington University School of Medicine, St. Louis, MO, USA
- Siteman Cancer Center, St. Louis, MO, USA
| | | | - David Shibata
- University of Tennessee Health Science Center, Memphis, TN, USA
| | | | | | - Jane C Figueiredo
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Heather S L Jim
- Moffitt Cancer Center, 12902 USF Magnolia Drive, MRC-HOB, Tampa, FL, 33612, USA
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- University of Utah, Salt Lake City, UT, USA
| | - Erin M Siegel
- Moffitt Cancer Center, 12902 USF Magnolia Drive, MRC-HOB, Tampa, FL, 33612, USA
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5
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Coletta AM, Simon LH, Maslana K, Taylor S, Larson K, Hansen PA, Thomas VM, Ulrich CM, Kohli M, Chipman J, Swami U, Gupta S, Maughan BL, Agarwal N. Creatine supplementation and resistance training to preserve muscle mass and attenuate cancer progression (CREATINE-52): a protocol for a double-blind randomized controlled trial. BMC Cancer 2024; 24:493. [PMID: 38637770 PMCID: PMC11025211 DOI: 10.1186/s12885-024-12260-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 04/15/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND Muscle mass is important for metastatic prostate cancer survival and quality of life (QoL). The backbone of treatment for men with metastatic castration sensitive prostate cancer (mCSPC) is androgen deprivation therapy (ADT) with an androgen signaling inhibitor. ADT is an effective cancer treatment, but it facilitates significant declines in muscle mass and adverse health outcomes important to mCSPC survivors, such as fatigue, and reductions in physical function, independence, insulin sensitivity, and QoL. In non-metastatic CSPC survivors, resistance training (RT) preserves muscle mass and improves these related health outcomes, but the biggest barrier to RT in CSPC survivors of all stages is fatigue. Creatine monohydrate supplementation coupled with RT (Cr + RT) may address this barrier since creatine plays a critical role in energy metabolism. Cr + RT in cancer-free older adults and other clinical populations improves muscle mass and related health outcomes. Evidence also suggests that creatine supplementation can complement cancer treatment. Thus, Cr + RT is a strategy that addresses gaps in survivorship needs of people with mCSPC. The purpose of this parallel, double-blind randomized controlled trial is to test the effects of 52-weeks of Cr + RT compared with placebo (PLA) and RT (PLA + RT) on muscle mass, other related health outcomes, and markers of cancer progression. METHODS We will carry out this trial with our team's established, effective, home-based, telehealth RT program in 200 mCSPC survivors receiving ADT, and evaluate outcomes at baseline, 24-, and 52-weeks. RT will occur twice weekly with elastic resistance bands, and an established creatine supplementation protocol will be used for supplementation delivery. Our approach addresses a major facilitator to RT in mCSPC survivors, a home-based RT program, while utilizing a supervised model for safety. DISCUSSION Findings will improve delivery of comprehensive survivorship care by providing a multicomponent, patient-centered lifestyle strategy to preserve muscle mass, improve health outcomes, and complement cancer treatment (NCT06112990).
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Affiliation(s)
- Adriana M Coletta
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, USA.
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
| | - Lea Haverbeck Simon
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Kelsey Maslana
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, USA
| | - Sarah Taylor
- The Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Kish Larson
- The Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Pamela A Hansen
- The Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Division of Physical Medicine and Rehabilitation, Salt Lake City, UT, USA
| | - Vinay Mathew Thomas
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
- Division of Medical Oncology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Cornelia M Ulrich
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Manish Kohli
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
- Division of Medical Oncology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Jonathan Chipman
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Umang Swami
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
- Division of Medical Oncology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Sumati Gupta
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
- Division of Medical Oncology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- George E Whalen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Benjamin L Maughan
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
- Division of Medical Oncology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Neeraj Agarwal
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
- Division of Medical Oncology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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O'Neil B, Dindinger-Hill K, Gill H, Coombs L, Haaland B, Ying J, Nelson RE, McPherson J, Kirchhoff AC, Ulrich CM, Huber J, Beck A, Mooney K. Cost and Utilization Outcomes in Huntsman at Home, a Novel Oncology Hospital at Home Program. J Am Med Dir Assoc 2024; 25:610-613. [PMID: 37541650 DOI: 10.1016/j.jamda.2023.06.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 06/22/2023] [Accepted: 06/22/2023] [Indexed: 08/06/2023]
Abstract
OBJECTIVES In a real-world trial, we previously demonstrated that Huntsman at Home, a novel oncology hospital at home program, was associated with reduced health care utilization and costs. In this study, we sought to understand the impact of Huntsman at Home in specific patient subgroups defined by sex, age, area-level median income, Charlson Comorbidity Index, and current use of systemic anticancer therapy. DESIGN Retrospective case-control study of the Huntsman Cancer Institute. Electronic Data Warehouse of patients enrolled in Huntsman at Home between August 2018 through October 2019 vs usual-care patients. SETTING AND PARTICIPANTS A total of 169 patients admitted to Huntsman at Home compared with 198 usual-care patients. METHODS Five dichotomous subgroups evaluated including sex (female vs male), age (≥65 vs <65), income (≥$78,735 vs <$78,735), Charlson Comorbidity Index (≥2 vs <2), and current systemic anticancer therapy use vs no current systemic anticancer therapy. Groups were compared with patients receiving usual care. Primary outcomes included 30-day costs, hospital length of stay, unplanned hospitalizations, and emergency room visits. RESULTS Admission to Huntsman at Home was associated with an overall reduction across all 4 health care cost and utilization outcomes. Outcomes favoring admission to Huntsman at Home achieved statistical significance (P < .05) in at least 2 of the 4 outcomes for each subgroup studied. Of the subgroups that did not achieve statistically significant benefit from Huntsman at Home admission in some outcome categories, none of these subgroups favored usual care. CONCLUSIONS AND IMPLICATIONS Admission to Huntsman at Home decreased utilization of unplanned health care and reduced costs across a wide spectrum of patient subgroups, suggesting overall consistent benefit from the service. Hospital at home models should be considered as a means by which the quality and efficiency of care can be maximized for patients with cancer.
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Affiliation(s)
- Brock O'Neil
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
| | | | - Hailie Gill
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Lorinda Coombs
- School of Nursing, University of North Carolina, UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
| | - Benjamin Haaland
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Jian Ying
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Richard E Nelson
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Jordan McPherson
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Anne C Kirchhoff
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Jared Huber
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Anna Beck
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Kathi Mooney
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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Otto AK, Prinsloo S, Natori A, Wagner RW, Gomez TI, Ochoa JM, Tworoger SS, Ulrich CM, Ahmed S, McQuade JL, Peoples AR, Antoni MH, Bower JE, Cohen L, Penedo FJ. Impact of COVID-19-related experiences on health-related quality of life in cancer survivors in the United States. PLoS One 2024; 19:e0297077. [PMID: 38484002 PMCID: PMC10939216 DOI: 10.1371/journal.pone.0297077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 12/27/2023] [Indexed: 03/17/2024] Open
Abstract
OBJECTIVE Little evidence exists on the impact of the COVID-19 pandemic on cancer survivors, limiting recommendations to improve health-related quality of life (HRQoL) in this population. We describe survivors' pandemic experiences and examine associations between COVID-19-related exposures, psychosocial experiences, and HRQoL. METHODS Between May 2020-April 2021, survivors completed cross-sectional questionnaires capturing COVID-19-related exposures (e.g., exposure to virus, job loss); psychosocial experiences (i.e., COVID-19-related anxiety/depression, disruptions to health care and daily activities/social interactions, satisfaction with providers' response to COVID, financial hardship, perceived benefits of the pandemic, social support, and perceived stress management ability); and HRQoL. RESULTS Data were collected from N = 11,325 survivors in the United States. Participants were mostly female (58%), White (89%) and non-Hispanic (88%), and age 63 on average. Breast cancer was the most common diagnosis (23%). Eight percent of participants reported being exposed to COVID-19; 1% tested positive. About 6% of participants lost their jobs, while 24% lost household income. Nearly 30% avoided attending in-person oncology appointments because of the pandemic. Poorer HRQoL was associated with demographic (younger age; female; non-Hispanic White), clinical (Medicare; stage IV disease; hematologic/digestive/respiratory system cancer), and psychosocial factors (low perceived benefits and stress management ability; more disruption to health care and daily activities/social interactions; financial hardship). CONCLUSIONS COVID-19-related stressors were associated with various psychosocial experiences in cancer survivors, and these psychosocial experiences were associated with HRQoL above and beyond demographic and clinical factors.
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Affiliation(s)
- Amy K. Otto
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States of America
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, United States of America
| | - Sarah Prinsloo
- Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States of America
- Department of Neurosurgery, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States of America
| | - Akina Natori
- Division of Medical Oncology, Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL, United States of America
| | - Richard W. Wagner
- Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States of America
| | - Telma I. Gomez
- Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States of America
| | - Jewel M. Ochoa
- Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States of America
| | - Shelley S. Tworoger
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America
| | - Cornelia M. Ulrich
- Huntsman Cancer Institute, University of Utah, Salt Lake City, CT, United States of America
- Department of Population Health Sciences, University of Utah, Salt Lake City, CT, United States of America
| | - Sairah Ahmed
- Department of Lymphoma and Myeloma, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States of America
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States of America
| | - Jennifer L McQuade
- Department of Melanoma Medical Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States of America
| | - Anita R. Peoples
- Huntsman Cancer Institute, University of Utah, Salt Lake City, CT, United States of America
- Department of Population Health Sciences, University of Utah, Salt Lake City, CT, United States of America
| | - Michael H. Antoni
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, United States of America
- Department of Psychology, University of Miami, Miami, FL, United States of America
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States of America
| | - Julienne E. Bower
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States of America
- Department of Psychiatry/Biobehavioral Sciences, University of California Los Angeles, CA, United States of America
| | - Lorenzo Cohen
- Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States of America
| | - Frank J. Penedo
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, United States of America
- Department of Psychology, University of Miami, Miami, FL, United States of America
- Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL, United States of America
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8
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Stern MC, Sanchez Mendez J, Kim AE, Obón-Santacana M, Moratalla-Navarro F, Martín V, Moreno V, Lin Y, Bien SA, Qu C, Su YR, White E, Harrison TA, Huyghe JR, Tangen CM, Newcomb PA, Phipps AI, Thomas CE, Kawaguchi ES, Lewinger JP, Morrison JL, Conti DV, Wang J, Thomas DC, Platz EA, Visvanathan K, Keku TO, Newton CC, Um CY, Kundaje A, Shcherbina A, Murphy N, Gunter MJ, Dimou N, Papadimitriou N, Bézieau S, van Duijnhoven FJB, Männistö S, Rennert G, Wolk A, Hoffmeister M, Brenner H, Chang-Claude J, Tian Y, Le Marchand L, Cotterchio M, Tsilidis KK, Bishop DT, Melaku YA, Lynch BM, Buchanan DD, Ulrich CM, Ose J, Peoples AR, Pellatt AJ, Li L, Devall MAM, Campbell PT, Albanes D, Weinstein SJ, Berndt SI, Gruber SB, Ruiz-Narvaez E, Song M, Joshi AD, Drew DA, Petrick JL, Chan AT, Giannakis M, Peters U, Hsu L, Gauderman WJ. Genome-Wide Gene-Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk. Cancer Epidemiol Biomarkers Prev 2024; 33:400-410. [PMID: 38112776 DOI: 10.1158/1055-9965.epi-23-0717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 09/05/2023] [Accepted: 12/11/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND High red meat and/or processed meat consumption are established colorectal cancer risk factors. We conducted a genome-wide gene-environment (GxE) interaction analysis to identify genetic variants that may modify these associations. METHODS A pooled sample of 29,842 colorectal cancer cases and 39,635 controls of European ancestry from 27 studies were included. Quantiles for red meat and processed meat intake were constructed from harmonized questionnaire data. Genotyping arrays were imputed to the Haplotype Reference Consortium. Two-step EDGE and joint tests of GxE interaction were utilized in our genome-wide scan. RESULTS Meta-analyses confirmed positive associations between increased consumption of red meat and processed meat with colorectal cancer risk [per quartile red meat OR = 1.30; 95% confidence interval (CI) = 1.21-1.41; processed meat OR = 1.40; 95% CI = 1.20-1.63]. Two significant genome-wide GxE interactions for red meat consumption were found. Joint GxE tests revealed the rs4871179 SNP in chromosome 8 (downstream of HAS2); greater than median of consumption ORs = 1.38 (95% CI = 1.29-1.46), 1.20 (95% CI = 1.12-1.27), and 1.07 (95% CI = 0.95-1.19) for CC, CG, and GG, respectively. The two-step EDGE method identified the rs35352860 SNP in chromosome 18 (SMAD7 intron); greater than median of consumption ORs = 1.18 (95% CI = 1.11-1.24), 1.35 (95% CI = 1.26-1.44), and 1.46 (95% CI = 1.26-1.69) for CC, CT, and TT, respectively. CONCLUSIONS We propose two novel biomarkers that support the role of meat consumption with an increased risk of colorectal cancer. IMPACT The reported GxE interactions may explain the increased risk of colorectal cancer in certain population subgroups.
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Affiliation(s)
- Mariana C Stern
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Joel Sanchez Mendez
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Andre E Kim
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Mireia Obón-Santacana
- Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Ferran Moratalla-Navarro
- Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine and health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Vicente Martín
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- The Research Group in Gene - Environment and Health Interactions (GIIGAS)/Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain
- Faculty of Health Sciences, Department of Biomedical Sciences, Area of Preventive Medicine and Public Health, Universidad de León, León, Spain
| | - Victor Moreno
- Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine and health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Catherine M Tangen
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Claire E Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Eric S Kawaguchi
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Juan Pablo Lewinger
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - John L Morrison
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - David V Conti
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jun Wang
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Duncan C Thomas
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina
| | - Christina C Newton
- Department of Population Science, American Cancer Society, Atlanta, Georgia
| | - Caroline Y Um
- Department of Population Science, American Cancer Society, Atlanta, Georgia
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, California
- Department of Computer Science, Stanford University, Stanford, California
| | - Anna Shcherbina
- Department of Genetics, Stanford University, Stanford, California
- Department of Computer Science, Stanford University, Stanford, California
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Nikos Papadimitriou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | | | - Satu Männistö
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Yu Tian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- School of Public Health, Capital Medical University, Beijing, P.R. China
| | | | - Michelle Cotterchio
- Prevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, United Kingdom
| | - Yohannes Adama Melaku
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Brigid M Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Jennifer Ose
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Anita R Peoples
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Andrew J Pellatt
- Department of Cancer Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, Virginia
| | - Matthew A M Devall
- Department of Family Medicine, University of Virginia, Charlottesville, Virginia
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | | | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte California
| | - Edward Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Mingyang Song
- Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Amit D Joshi
- Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - David A Drew
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jessica L Petrick
- Slone Epidemiology Center at, Boston University, Boston, Massachusetts
| | - Andrew T Chan
- Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Marios Giannakis
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Dana-Farber Cancer Institute, Harvard Medical School, Harvard University, Boston, Massachusetts
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - W James Gauderman
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
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Crowder SL, Li X, Himbert C, Viskochil R, Hoogland AI, Gudenkauf LM, Oswald LB, Gonzalez BD, Small BJ, Ulrich CM, Ose J, Peoples AR, Li CI, Shibata D, Toriola AT, Gigic B, Playdon MC, Hardikar S, Bower J, Siegel EM, Figueiredo JC, Jim HSL. Relationships Among Physical Activity, Sleep, and Cancer-related Fatigue: Results From the International ColoCare Study. Ann Behav Med 2024; 58:156-166. [PMID: 38141201 PMCID: PMC10858307 DOI: 10.1093/abm/kaad068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2023] Open
Abstract
BACKGROUND Risk factors for cancer-related fatigue are understudied in colorectal cancer. PURPOSE This study aimed to address this critical gap in the literature by (a) describing changes in colorectal cancer-related fatigue and health behavior (physical activity, sleep problems) and (b) examining if physical activity and sleep problems predict fatigue trajectories from baseline (approximately at the time of diagnosis), to 6- and 12 months after enrollment. METHODS Patients participating in the international ColoCare Study completed self-report measures at baseline (approximately time of diagnosis), 6-, and 12 months assessing physical activity using the International Physical Activity Questionnaire (IPAQ) and fatigue and sleep using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC-QLQ-C30). Mixed-effect models examined changes in physical activity, sleep problems, and fatigue. Cross-lagged panel models examined bidirectional relationships between physical activity or sleep and fatigue across time. RESULTS Colorectal cancer patients (n = 649) had a mean age of 61 ± 13 years. Most were male (59%), non-Hispanic White (91%), diagnosed with Stages III-IV (56%) colon cancer (58%), and treated with surgery (98%). Within-person cross-lagged models indicated higher physical activity at Month 6 was associated with higher fatigue at Month 12 (β = 0.26, p = .016). When stratified by cancer stage (I-II vs. III-IV), the relationship between physical activity at Month 6 and fatigue at Month 12 existed only for patients with advanced cancer (Stages III and IV, β = 0.43, p = .035). Cross-lagged associations for sleep and fatigue from baseline to Month 6 were only observed in patients with Stages III or IV cancer, however, there was a clear cross-sectional association between sleep problems and fatigue at baseline and Month 6. CONCLUSIONS Within-person and cross-lagged association models suggest fatiguability may become increasingly problematic for patients with advanced colorectal cancer the first year after diagnosis. In addition, sleep problems were consistently associated with higher fatigue in the first year, regardless of cancer stage. TRIAL REGISTRATION The international ColoCare Study was registered on clinicaltrials.gov, NCT02328677, in December 2014.
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Affiliation(s)
- Sylvia L Crowder
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Xiaoyin Li
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Caroline Himbert
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Richard Viskochil
- Department of Exercise and Health Sciences, University of Massachusetts, Boston, MA, USA
| | - Aasha I Hoogland
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Lisa M Gudenkauf
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Laura B Oswald
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Brian D Gonzalez
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Brent J Small
- Department of Behavioral and Community Sciences, School of Aging Studies, University of South Florida, Tampa, FL, USA
| | - Cornelia M Ulrich
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Jennifer Ose
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Anita R Peoples
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - David Shibata
- Department of Surgery, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Adetunji T Toriola
- Department of Surgery, Washington University St. Louis, St. Louis, MO, USA
| | - Biljana Gigic
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Mary C Playdon
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Sheetal Hardikar
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Population Health Sciences, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | | | - Erin M Siegel
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA
| | - Heather S L Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
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10
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Wang C, Ma A, Li Y, McNutt ME, Zhang S, Zhu J, Hoyd R, Wheeler CE, Robinson LA, Chan CH, Zakharia Y, Dodd RD, Ulrich CM, Hardikar S, Churchman ML, Tarhini AA, Singer EA, Ikeguchi AP, McCarter MD, Denko N, Tinoco G, Husain M, Jin N, Osman AE, Eljilany I, Tan AC, Coleman SS, Denko L, Riedlinger G, Schneider BP, Spakowicz D, Ma Q. A Bioinformatics Tool for Identifying Intratumoral Microbes from the ORIEN Dataset. Cancer Res Commun 2024; 4:293-302. [PMID: 38259095 PMCID: PMC10840455 DOI: 10.1158/2767-9764.crc-23-0213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 09/26/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024]
Abstract
Evidence supports significant interactions among microbes, immune cells, and tumor cells in at least 10%-20% of human cancers, emphasizing the importance of further investigating these complex relationships. However, the implications and significance of tumor-related microbes remain largely unknown. Studies have demonstrated the critical roles of host microbes in cancer prevention and treatment responses. Understanding interactions between host microbes and cancer can drive cancer diagnosis and microbial therapeutics (bugs as drugs). Computational identification of cancer-specific microbes and their associations is still challenging due to the high dimensionality and high sparsity of intratumoral microbiome data, which requires large datasets containing sufficient event observations to identify relationships, and the interactions within microbial communities, the heterogeneity in microbial composition, and other confounding effects that can lead to spurious associations. To solve these issues, we present a bioinformatics tool, microbial graph attention (MEGA), to identify the microbes most strongly associated with 12 cancer types. We demonstrate its utility on a dataset from a consortium of nine cancer centers in the Oncology Research Information Exchange Network. This package has three unique features: species-sample relations are represented in a heterogeneous graph and learned by a graph attention network; it incorporates metabolic and phylogenetic information to reflect intricate relationships within microbial communities; and it provides multiple functionalities for association interpretations and visualizations. We analyzed 2,704 tumor RNA sequencing samples and MEGA interpreted the tissue-resident microbial signatures of each of 12 cancer types. MEGA can effectively identify cancer-associated microbial signatures and refine their interactions with tumors. SIGNIFICANCE Studying the tumor microbiome in high-throughput sequencing data is challenging because of the extremely sparse data matrices, heterogeneity, and high likelihood of contamination. We present a new deep learning tool, MEGA, to refine the organisms that interact with tumors.
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Affiliation(s)
- Cankun Wang
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio
| | - Anjun Ma
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Yingjie Li
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio
| | - Megan E. McNutt
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio
| | - Shiqi Zhang
- Department of Human Sciences, College of Education and Human Ecology, The Ohio State University, Columbus, Ohio
| | - Jiangjiang Zhu
- Department of Human Sciences, College of Education and Human Ecology, The Ohio State University, Columbus, Ohio
| | - Rebecca Hoyd
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Caroline E. Wheeler
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Lary A. Robinson
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Carlos H.F. Chan
- University of Iowa, Holden Comprehensive Cancer Center, Iowa City, Iowa
| | - Yousef Zakharia
- Division of Oncology, Hematology and Blood & Marrow Transplantation, University of Iowa, Holden Comprehensive Cancer Center, Iowa City, Iowa
| | - Rebecca D. Dodd
- Department of Internal Medicine, University of Iowa, Iowa City, Iowa
| | - Cornelia M. Ulrich
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Sheetal Hardikar
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | | | - Ahmad A. Tarhini
- Departments of Cutaneous Oncology and Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Eric A. Singer
- Department of Urologic Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Alexandra P. Ikeguchi
- Department of Hematology/Oncology, Stephenson Cancer Center of University of Oklahoma, Oklahoma City, Oklahoma
| | - Martin D. McCarter
- Department of Surgery, University of Colorado School of Medicine, Aurora, Colorado
| | - Nicholas Denko
- Department of Radiation Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Gabriel Tinoco
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Marium Husain
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Ning Jin
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Afaf E.G. Osman
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | - Islam Eljilany
- Clinical Science Lab – Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Aik Choon Tan
- Departments of Oncological Science and Biomedical Informatics, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Samuel S. Coleman
- Departments of Oncological Science and Biomedical Informatics, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Louis Denko
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Gregory Riedlinger
- Department of Precision Medicine, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | - Bryan P. Schneider
- Indiana University Simon Comprehensive Cancer Center, Indianapolis, Indiana
| | - Daniel Spakowicz
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Qin Ma
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
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11
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Kok DE, van Duijnhoven FJ, Lubberman FJ, McKay JA, Lanen ASV, Winkels RM, Wesselink E, van Halteren HK, de Wilt JH, Ulrich CM, Ulvik A, Ueland PM, Kampman E. Intake and biomarkers of folate and folic acid as determinants of chemotherapy-induced toxicities in patients with colorectal cancer: a cohort study. Am J Clin Nutr 2024; 119:294-301. [PMID: 38070682 DOI: 10.1016/j.ajcnut.2023.11.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 10/10/2023] [Accepted: 11/28/2023] [Indexed: 12/25/2023] Open
Abstract
BACKGROUND Capecitabine is an oral chemotherapeutic drug showing antitumor activity through inhibition of thymidylate synthase, an enzyme involved in folate metabolism. There are concerns about the high intake of certain vitamins, and specifically folate, during chemotherapy with capecitabine. Whether folate or folic acid, the synthetic variant of the vitamin, impact treatment toxicity remains unclear. OBJECTIVE We studied associations between intake and biomarkers of folate as well as folic acid and toxicities in patients with colorectal cancer (CRC) receiving capecitabine. METHODS Within the prospective COLON (Colorectal cancer: Longitudinal, Observational study on Nutritional and lifestyle factors that influence recurrence, survival, and quality of life) cohort, 290 patients with stage II to III CRC receiving capecitabine were identified. Dietary and supplemental intake of folate and folic acid were assessed at diagnosis and during chemotherapy using questionnaires (available for 280 patients). Plasma folate and folic acid levels were determined by liquid chromatography tandem mass spectrometry (LC-MS/MS) and were available for 212 patients. Toxicities were defined as toxicity-related modifications of treatment, including dose reductions, regimen switches, and early discontinuation. Associations of intake and biomarkers of folate and folic acid with toxicities were determined using Cox proportional hazards regression adjusted for age and sex. RESULTS In total, 153 (53%) patients experienced toxicities leading to modification of capecitabine treatment. Folate intake and plasma folate levels were not associated with risk of toxicities. However, use of folic acid-containing supplements during treatment (hazard ratio (HR) 1.81 and 95% confidence interval (CI) 1.15-2.85) and presence of folic acid in plasma at diagnosis (HR 2.09, 95% CI: 1.24, 3.52) and during treatment (HR 2.31, 95% CI: 1.29, 4.13) were associated with an increased risk of toxicities. CONCLUSIONS This study suggests a potential association between folic acid and capecitabine-induced toxicities, providing a rationale to study diet-drug interactions and raise further awareness of the use of dietary supplements during oncological treatment. CLINICAL TRIAL DETAILS This trial was registered at clinicaltrials.gov as NCT03191110.
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Affiliation(s)
- Dieuwertje E Kok
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands.
| | - Fränzel Jb van Duijnhoven
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Floor Je Lubberman
- Department of Clinical Pharmacy, Hospital Gelderse Vallei, Ede, the Netherlands
| | - Jill A McKay
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom
| | - Anne-Sophie van Lanen
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Renate M Winkels
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Evertine Wesselink
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Henk K van Halteren
- Department of Medical Oncology, Admiraal de Ruyter Hospital, Goes, the Netherlands
| | | | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, United States
| | | | | | - Ellen Kampman
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
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12
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Watts EL, Gonzales TI, Strain T, Saint-Maurice PF, Bishop DT, Chanock SJ, Johansson M, Keku TO, Le Marchand L, Moreno V, Newcomb PA, Newton CC, Pai RK, Purdue MP, Ulrich CM, Smith-Byrne K, Van Guelpen B, Day FR, Wijndaele K, Wareham NJ, Matthews CE, Moore SC, Brage S. Observational and genetic associations between cardiorespiratory fitness and cancer: a UK Biobank and international consortia study. Br J Cancer 2024; 130:114-124. [PMID: 38057395 PMCID: PMC10781786 DOI: 10.1038/s41416-023-02489-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 10/20/2023] [Accepted: 10/31/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND The association of fitness with cancer risk is not clear. METHODS We used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of lung, colorectal, endometrial, breast, and prostate cancer in a subset of UK Biobank participants who completed a submaximal fitness test in 2009-12 (N = 72,572). We also investigated relationships using two-sample Mendelian randomisation (MR), odds ratios (ORs) were estimated using the inverse-variance weighted method. RESULTS After a median of 11 years of follow-up, 4290 cancers of interest were diagnosed. A 3.5 ml O2⋅min-1⋅kg-1 total-body mass increase in fitness (equivalent to 1 metabolic equivalent of task (MET), approximately 0.5 standard deviation (SD)) was associated with lower risks of endometrial (HR = 0.81, 95% CI: 0.73-0.89), colorectal (0.94, 0.90-0.99), and breast cancer (0.96, 0.92-0.99). In MR analyses, a 0.5 SD increase in genetically predicted O2⋅min-1⋅kg-1 fat-free mass was associated with a lower risk of breast cancer (OR = 0.92, 95% CI: 0.86-0.98). After adjusting for adiposity, both the observational and genetic associations were attenuated. DISCUSSION Higher fitness levels may reduce risks of endometrial, colorectal, and breast cancer, though relationships with adiposity are complex and may mediate these relationships. Increasing fitness, including via changes in body composition, may be an effective strategy for cancer prevention.
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Affiliation(s)
- Eleanor L Watts
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Tomas I Gonzales
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Tessa Strain
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Pedro F Saint-Maurice
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Mattias Johansson
- Genomics Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | | | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine and University of Barcelona Institute for Complex Systems (UBICS), University of Barcelona, Barcelona, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- School of Public Health, University of Washington, Seattle, WA, USA
| | - Christina C Newton
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Karl Smith-Byrne
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Felix R Day
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Katrien Wijndaele
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Charles E Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Soren Brage
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
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13
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Saez-Clarke E, Otto AK, Prinsloo S, Natori A, Wagner RW, Gomez TI, Ochoa JM, Tworoger SS, Ulrich CM, Hathaway CA, Peoples AR, Antoni MH, Bower JE, Cohen L, Penedo FJ. Development and initial psychometric evaluation of a COVID-related psychosocial experiences questionnaire for cancer survivors. Qual Life Res 2023; 32:3475-3494. [PMID: 37358738 DOI: 10.1007/s11136-023-03456-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/29/2023] [Indexed: 06/27/2023]
Abstract
BACKGROUND Cancer survivors are at elevated risk of psychological problems related to COVID-19, yet no published measure adequately assesses their psychosocial experiences during the pandemic. PURPOSE Describe the development and factor structure of a comprehensive, self-report measure (COVID-19 Practical and Psychosocial Experiences questionnaire [COVID-PPE]) assessing the pandemic's impact on US cancer survivors. METHODS The sample (n = 10,584) was divided into three groups to assess COVID-PPE factor structure by conducting: (1) initial calibration/exploratory analysis of the factor structure of 37 items (n = 5070), (2) confirmatory factor analysis of the best-fitting model (36 items after item removal; n = 5140), and (3) post-hoc confirmatory analysis with an additional six items not collected in the first two groups (42 items; n = 374). RESULTS The final COVID-PPE was divided into two sets of subscales, conceptualized as Risk Factors and Protective Factors. The five Risk Factors subscales were labeled Anxiety Symptoms, Depression Symptoms, Health Care Disruptions, Disruptions to Daily Activities and Social Interactions, and Financial Hardship. The four Protective Factors subscales were labeled Perceived Benefits, Provider Satisfaction, Perceived Stress Management Skills, and Social Support. Internal consistency was acceptable for seven subscales (αs = 0.726-0.895; ωs = 0.802-0.895) but poor or questionable for the remaining two subscales (αs = 0.599-0.681; ωs = 0.586-0.692). CONCLUSIONS To our knowledge, this is the first published self-report measure comprehensively capturing psychosocial impact-both positive and negative-of the pandemic on cancer survivors. Future work should evaluate predictive utility of COVID-PPE subscales, particularly as the pandemic evolves, which may inform recommendations for cancer survivors and facilitate identification of survivors most in need of intervention.
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Affiliation(s)
- Estefany Saez-Clarke
- Department of Psychology, College of Arts and Sciences, University of Miami, Coral Gables, FL, USA
| | - Amy K Otto
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA
- University of Minnesota Medical School, Duluth Campus, Duluth, MN, USA
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Sarah Prinsloo
- Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
- Department of Neurosurgery, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Akina Natori
- Division of Medical Oncology, Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Richard W Wagner
- Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Telma I Gomez
- Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
- Department of Pediatrics Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
| | - Jewel M Ochoa
- Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Cornelia M Ulrich
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Cassandra A Hathaway
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Anita R Peoples
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Michael H Antoni
- Department of Psychology, College of Arts and Sciences, University of Miami, Coral Gables, FL, USA
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Julienne E Bower
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry/Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Lorenzo Cohen
- Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
| | - Frank J Penedo
- Department of Psychology, College of Arts and Sciences, University of Miami, Coral Gables, FL, USA.
- Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA.
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14
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Bouras E, Kim AE, Lin Y, Morrison J, Du M, Albanes D, Barry EL, Baurley JW, Berndt SI, Bien SA, Bishop TD, Brenner H, Budiarto A, Burnett-Hartman A, Campbell PT, Carreras-Torres R, Casey G, Cenggoro TW, Chan AT, Chang-Claude J, Conti DV, Cotterchio M, Devall M, Diez-Obrero V, Dimou N, Drew DA, Figueiredo JC, Giles GG, Gruber SB, Gunter MJ, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Joshi AD, Kawaguchi ES, Keku TO, Kundaje A, Le Marchand L, Lewinger JP, Li L, Lynch BM, Mahesworo B, Männistö S, Moreno V, Murphy N, Newcomb PA, Obón-Santacana M, Ose J, Palmer JR, Papadimitriou N, Pardamean B, Pellatt AJ, Peoples AR, Platz EA, Potter JD, Qi L, Qu C, Rennert G, Ruiz-Narvaez E, Sakoda LC, Schmit SL, Shcherbina A, Stern MC, Su YR, Tangen CM, Thomas DC, Tian Y, Um CY, van Duijnhoven FJ, Van Guelpen B, Visvanathan K, Wang J, White E, Wolk A, Woods MO, Ulrich CM, Hsu L, Gauderman WJ, Peters U, Tsilidis KK. Genome-wide interaction analysis of folate for colorectal cancer risk. Am J Clin Nutr 2023; 118:881-891. [PMID: 37640106 PMCID: PMC10636229 DOI: 10.1016/j.ajcnut.2023.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 08/07/2023] [Accepted: 08/22/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Epidemiological and experimental evidence suggests that higher folate intake is associated with decreased colorectal cancer (CRC) risk; however, the mechanisms underlying this relationship are not fully understood. Genetic variation that may have a direct or indirect impact on folate metabolism can provide insights into folate's role in CRC. OBJECTIVES Our aim was to perform a genome-wide interaction analysis to identify genetic variants that may modify the association of folate on CRC risk. METHODS We applied traditional case-control logistic regression, joint 3-degree of freedom, and a 2-step weighted hypothesis approach to test the interactions of common variants (allele frequency >1%) across the genome and dietary folate, folic acid supplement use, and total folate in relation to risk of CRC in 30,550 cases and 42,336 controls from 51 studies from 3 genetic consortia (CCFR, CORECT, GECCO). RESULTS Inverse associations of dietary, total folate, and folic acid supplement with CRC were found (odds ratio [OR]: 0.93; 95% confidence interval [CI]: 0.90, 0.96; and 0.91; 95% CI: 0.89, 0.94 per quartile higher intake, and 0.82 (95% CI: 0.78, 0.88) for users compared with nonusers, respectively). Interactions (P-interaction < 5×10-8) of folic acid supplement and variants in the 3p25.2 locus (in the region of Synapsin II [SYN2]/tissue inhibitor of metalloproteinase 4 [TIMP4]) were found using traditional interaction analysis, with variant rs150924902 (located upstream to SYN2) showing the strongest interaction. In stratified analyses by rs150924902 genotypes, folate supplementation was associated with decreased CRC risk among those carrying the TT genotype (OR: 0.82; 95% CI: 0.79, 0.86) but increased CRC risk among those carrying the TA genotype (OR: 1.63; 95% CI: 1.29, 2.05), suggesting a qualitative interaction (P-interaction = 1.4×10-8). No interactions were observed for dietary and total folate. CONCLUSIONS Variation in 3p25.2 locus may modify the association of folate supplement with CRC risk. Experimental studies and studies incorporating other relevant omics data are warranted to validate this finding.
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Affiliation(s)
- Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Andre E Kim
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - John Morrison
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Mengmeng Du
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - Elizabeth L Barry
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - James W Baurley
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia; BioRealm LLC, Walnut, CA, United States
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Timothy D Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, United Kingdom
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Arif Budiarto
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia; Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia
| | | | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Robert Carreras-Torres
- Unit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain; ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain; Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), Salt, Girona, Spain
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, United States
| | - Tjeng Wawan Cenggoro
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia; Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States; Broad Institute of Harvard and MIT, Cambridge, MA, United States; Department of Epidemiology, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States; Department of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - David V Conti
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | | | - Matthew Devall
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, United States; Department of Public Health Sciences, Center for Public Health Genomics, Charlottesville, VA, United States
| | - Virginia Diez-Obrero
- Unit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain; ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - David A Drew
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, United States
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Akihisa Hidaka
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States
| | - Eric S Kawaguchi
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, United States
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA, United States; Department of Computer Science, Stanford University, Stanford, CA, United States
| | | | - Juan Pablo Lewinger
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, United States
| | - Brigid M Lynch
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Bharuno Mahesworo
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Satu Männistö
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Victor Moreno
- Unit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain; ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Department of Clinical Sciences, Faculty of Medicine and health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States
| | - Mireia Obón-Santacana
- Unit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain; ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Jennifer Ose
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, United States
| | - Nikos Papadimitriou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Bens Pardamean
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Andrew J Pellatt
- Department of Cancer Medicine, MD Anderson Cancer Center, Houston, TX, United States
| | - Anita R Peoples
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States; Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Lihong Qi
- Department of Public Health Sciences, University of California Davis, Davis, CA, United States
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel; Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel; Clalit National Cancer Control Center, Haifa, Israel
| | - Edward Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States; Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, United States; Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, United States
| | - Anna Shcherbina
- Department of Genetics, Stanford University, Stanford, CA, United States; Department of Computer Science, Stanford University, Stanford, CA, United States
| | - Mariana C Stern
- Department of Population and Public Health Sciences and Norris Comprehensive Cancer Center, Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Duncan C Thomas
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Yu Tian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; School of Public Health, Capital Medical University, Beijing, China
| | - Caroline Y Um
- Department of Population Science, American Cancer Society, Atlanta, GA, United States
| | - Franzel Jb van Duijnhoven
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden; Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Jun Wang
- Department of Population and Public Health Sciences and Norris Comprehensive Cancer Center, Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, United States
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St John's, Canada
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States; Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States; Department of Epidemiology, University of Washington, Seattle, WA, United States.
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece; Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, United Kingdom.
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15
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Thomas M, Su YR, Rosenthal EA, Sakoda LC, Schmit SL, Timofeeva MN, Chen Z, Fernandez-Rozadilla C, Law PJ, Murphy N, Carreras-Torres R, Diez-Obrero V, van Duijnhoven FJB, Jiang S, Shin A, Wolk A, Phipps AI, Burnett-Hartman A, Gsur A, Chan AT, Zauber AG, Wu AH, Lindblom A, Um CY, Tangen CM, Gignoux C, Newton C, Haiman CA, Qu C, Bishop DT, Buchanan DD, Crosslin DR, Conti DV, Kim DH, Hauser E, White E, Siegel E, Schumacher FR, Rennert G, Giles GG, Hampel H, Brenner H, Oze I, Oh JH, Lee JK, Schneider JL, Chang-Claude J, Kim J, Huyghe JR, Zheng J, Hampe J, Greenson J, Hopper JL, Palmer JR, Visvanathan K, Matsuo K, Matsuda K, Jung KJ, Li L, Le Marchand L, Vodickova L, Bujanda L, Gunter MJ, Matejcic M, Jenkins MA, Slattery ML, D'Amato M, Wang M, Hoffmeister M, Woods MO, Kim M, Song M, Iwasaki M, Du M, Udaltsova N, Sawada N, Vodicka P, Campbell PT, Newcomb PA, Cai Q, Pearlman R, Pai RK, Schoen RE, Steinfelder RS, Haile RW, Vandenputtelaar R, Prentice RL, Küry S, Castellví-Bel S, Tsugane S, Berndt SI, Lee SC, Brezina S, Weinstein SJ, Chanock SJ, Jee SH, Kweon SS, Vadaparampil S, Harrison TA, Yamaji T, Keku TO, Vymetalkova V, Arndt V, Jia WH, Shu XO, Lin Y, Ahn YO, Stadler ZK, Van Guelpen B, Ulrich CM, Platz EA, Potter JD, Li CI, Meester R, Moreno V, Figueiredo JC, Casey G, Lansdorp Vogelaar I, Dunlop MG, Gruber SB, Hayes RB, Pharoah PDP, Houlston RS, Jarvik GP, Tomlinson IP, Zheng W, Corley DA, Peters U, Hsu L. Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations. Nat Commun 2023; 14:6147. [PMID: 37783704 PMCID: PMC10545678 DOI: 10.1038/s41467-023-41819-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 09/19/2023] [Indexed: 10/04/2023] Open
Abstract
Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expand PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS are 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1681-3651 cases and 8696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They are significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values < 0.05). Further inclusion of non-European ancestry populations, especially Black/African American and Latinx/Hispanic, is needed to improve the risk prediction and enhance equity in applying PRS in clinical practice.
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Affiliation(s)
- Minta Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
- Biostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, USA
| | - Elisabeth A Rosenthal
- Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, 98195, USA
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, USA
| | - Maria N Timofeeva
- Danish Institute for Advanced Study (DIAS), Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, U, Germany
| | - Zhishan Chen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ceres Fernandez-Rozadilla
- Instituto de Investigacion Sanitaria de Santiago (IDIS), Choupana sn, 15706, Santiago de Compostela, Spain
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Philip J Law
- Division of Genetics and Epidemiology, The Institute of Cancer Reseach, London, SW7 3RP, UK
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Robert Carreras-Torres
- Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), Salt, 17190, Girona, Spain
| | - Virginia Diez-Obrero
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, 08908, Spain
| | | | - Shangqing Jiang
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul National University Cancer Research Institute, Seoul, South Korea
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | | | - Andrea Gsur
- .Center for Cancer Research, Medical University Vienna, Vienna, Austria
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Ann G Zauber
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anna H Wu
- University of Southern California, Preventative Medicine, Los Angeles, CA, USA
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Caroline Y Um
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Chris Gignoux
- Colorado Center for Personalized Medicine, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
| | - Christina Newton
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Christopher A Haiman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, 3000, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3000, Australia
- Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC, 3000, Australia
| | - David R Crosslin
- Department of Bioinformatics and Medical Education, University of Washington Medical Center, Seattle, WA, 98195, USA
| | - David V Conti
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Dong-Hyun Kim
- Department of Social and Preventive Medicine, Hallym University College of Medicine, Okcheon-dong, South Korea
| | - Elizabeth Hauser
- VA Cooperative Studies Program Epidemiology Center, Durham Veterans Affairs Health Care System, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Erin Siegel
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Fredrick R Schumacher
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Isao Oze
- .Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Jae Hwan Oh
- .Research Institute and Hospital, National Cancer Center, Goyang, South Korea, South Korea
| | - Jeffrey K Lee
- .Department of Gastroenterology, Kaiser Permanente San Francisco Medical Center, San Francisco, CA, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, 48104, USA
| | | | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, South Korea
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Jiayin Zheng
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Jochen Hampe
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Joel Greenson
- Department of Pathology, University of Michigan, Ann Arbor, MI, 48104, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Julie R Palmer
- Slone Epidemiology Center, School of Medicine, Boston University, Boston, MA, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Keitaro Matsuo
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Keum Ji Jung
- Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | | | - Ludmila Vodickova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Luis Bujanda
- Department of Gastroenterology, Biodonostia Health Research Institute, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Universidad del País Vasco (UPV/EHU), San Sebastián, Spain
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | | | - Mark A Jenkins
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3000, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Mauro D'Amato
- Department of Medicine and Surgery, LUM University, Camassima, Italy
- Gastrointestinal Genetics Lab, CIC bioGUNE-BRTA, Derio, Spain
| | - Meilin Wang
- Department of Environmental Genomics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Canada
| | - Michelle Kim
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Mingyang Song
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Departments of Epidemiology and Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Mulong Du
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Natalia Udaltsova
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rachel Pearlman
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Robert S Steinfelder
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Robert W Haile
- Samuel Oschin Comprehensive Cancer Institute, CEDARS-SINAI, Los Angeles, CA, USA
| | - Rosita Vandenputtelaar
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ross L Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Sébastien Küry
- Nantes Université, CHU Nantes, Service de Génétique Médicale, F-44000, Nantes, France
| | - Sergi Castellví-Bel
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Soo Chin Lee
- National University Cancer Institute, Singapore, Singapore
| | - Stefanie Brezina
- .Center for Cancer Research, Medical University Vienna, Vienna, Austria
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea
- Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | - Susan Vadaparampil
- Departments of Epidemiology and Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Veronika Vymetalkova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Xiao-Ou Shu
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul National University Cancer Research Institute, Seoul, South Korea
| | - Zsofia K Stadler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Reinier Meester
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Jane C Figueiredo
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Iris Lansdorp Vogelaar
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Malcolm G Dunlop
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, U, Germany
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Richard B Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Reseach, London, SW7 3RP, UK
| | - Gail P Jarvik
- Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, 98195, USA
| | - Ian P Tomlinson
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
- Department of Gastroenterology, Kaiser Permanente Medical Center, San Francisco, CA, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.
- Department of Biostatistics, University of Washington, Seattle, WA, USA.
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16
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Li X, Hoogland AI, Small BJ, Crowder SL, Gonzalez BD, Oswald LB, Sleight AG, Nguyen N, Lorona NC, Damerell V, Komrokji KR, Mooney K, Playdon MC, Ulrich CM, Li CI, Shibata D, Toriola AT, Ose J, Peoples AR, Siegel EM, Bower JE, Schneider M, Gigic B, Figueiredo JC, Jim HSL. Trajectories and risk factors of fatigue following colorectal cancer diagnosis. Colorectal Dis 2023; 25:2054-2063. [PMID: 37700526 PMCID: PMC10815933 DOI: 10.1111/codi.16746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 07/08/2023] [Accepted: 08/02/2023] [Indexed: 09/14/2023]
Abstract
AIM This study sought to identify groups of colorectal cancer patients based upon trajectories of fatigue and examine how demographic, clinical and behavioural risk factors differentiate these groups. METHOD Patients were from six cancer centres in the United States and Germany. Fatigue was measured using the fatigue subscale of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) at five time points (baseline/enrolment and 3, 6, 12 and 24 months after diagnosis). Piecewise growth mixture models identified latent trajectories of fatigue. Logistic regression models examined differences in demographic, clinical and behavioural characteristics between fatigue trajectory groups. RESULTS Among 1615 participants (57% men, 86% non-Hispanic White, mean age 61 ± 13 years at diagnosis), three distinct groups were identified. In the high fatigue group (36%), fatigue significantly increased in the first 6 months after diagnosis and then showed statistically and clinically significant improvement from 6 to 24 months (P values < 0.01). Throughout the study period, average fatigue met or exceeded cutoffs for clinical significance. In the moderate (34%) and low (30%) fatigue groups, fatigue levels remained below or near population norms across the study period. Patients who were diagnosed with Stage II-IV disease and/or current smokers were more likely to be in the high fatigue than in the moderate fatigue group (P values < 0.05). CONCLUSION A large proportion of colorectal cancer patients experienced sustained fatigue after initiation of cancer treatment. Patients with high fatigue at the time of diagnosis may benefit from early supportive care.
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Affiliation(s)
- Xiaoyin Li
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Aasha I Hoogland
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Brent J Small
- School of Aging Studies, University of South Florida, Tampa, Florida, USA
| | - Sylvia L Crowder
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Brian D Gonzalez
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Laura B Oswald
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Alix G Sleight
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Nathalie Nguyen
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Nicole C Lorona
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Victoria Damerell
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Khaled R Komrokji
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Kathi Mooney
- College of Nursing, University of Utah, Salt Lake City, Utah, USA
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Mary C Playdon
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
- Department of Nutrition and Integrative Physiology, College of Health, University of Utah, Salt Lake City, Utah, USA
| | - Cornelia M Ulrich
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
- Population Health Sciences, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - David Shibata
- Department of Surgery, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Adetunji T Toriola
- Department of Surgery, Washington University St. Louis, St. Louis, Missouri, USA
| | - Jennifer Ose
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
- Population Health Sciences, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Anita R Peoples
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
- Population Health Sciences, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Erin M Siegel
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | | | - Martin Schneider
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Biljana Gigic
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Heather S L Jim
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
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17
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Yu M, Carter KT, Baker KK, Redman MW, Wang T, Vickers K, Li CI, Cohen SA, Krane M, Ose J, Gigic B, Figueiredo JC, Toriola AT, Siegel EM, Shibata D, Schneider M, Ulrich CM, Dzubinski LA, Schoen RE, Grady WM. Elevated EVL Methylation Level in the Normal Colon Mucosa Is a Potential Risk Biomarker for Developing Recurrent Adenomas. Cancer Epidemiol Biomarkers Prev 2023; 32:1146-1152. [PMID: 37294695 PMCID: PMC10529338 DOI: 10.1158/1055-9965.epi-22-1020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 04/11/2023] [Accepted: 06/07/2023] [Indexed: 06/11/2023] Open
Abstract
BACKGROUND Individuals with adenomatous colorectal polyps undergo repeated colonoscopy surveillance to identify and remove metachronous adenomas. However, many patients with adenomas do not develop recurrent adenomas. Better methods to evaluate who benefits from increased surveillance are needed. We evaluated the use of altered EVL methylation as a potential biomarker for risk of recurrent adenomas. METHODS Patients with ≥1 colonoscopy had EVL methylation (mEVL) measured with an ultra-accurate methylation-specific droplet digital PCR assay on normal colon mucosa. The association between EVL methylation levels and adenoma or colorectal cancer was evaluated using three case/control definitions in three models: unadjusted (model 1), adjusting for baseline characteristics (model 2), and an adjusted model excluding patients with colorectal cancer at baseline (model 3). RESULTS Between 2001 and 2020, 136 patients were included; 74 healthy patients and 62 patients with a history of colorectal cancer. Older age, never smoking, and baseline colorectal cancer were associated with higher levels of mEVL (P ≤ 0.05). Each log base 10 difference in mEVL was associated with an increased risk of adenoma(s) or cancer at/after baseline for model 1 [OR, 2.64; 95% confidence interval (CI), 1.09-6.36], and adenoma(s) or cancer after baseline for models 1 (OR, 2.01; 95% CI, 1.04-3.90) and model 2 (OR, 3.17; 95% CI, 1.30-7.72). CONCLUSIONS Our results suggest that EVL methylation level detected in the normal colon mucosa has the potential to be a biomarker for monitoring the risk for recurrent adenomas. IMPACT These findings support the potential utility of EVL methylation for improving the accuracy for assigning risk for recurrent colorectal adenomas and cancer.
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Affiliation(s)
- Ming Yu
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Kelly T Carter
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Kelsey K Baker
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Mary W. Redman
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Ting Wang
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Kathy Vickers
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Christopher I. Li
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Stacey A. Cohen
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Mukta Krane
- Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Jennifer Ose
- University of Utah, Salt Lake City, UT
- Huntsman Cancer Institute, Salt Lake City, UT
| | | | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA
| | | | - Erin M Siegel
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - David Shibata
- University of Tennessee Health Science Center, Memphis, TN
| | | | - Cornelia M. Ulrich
- University of Utah, Salt Lake City, UT
- Huntsman Cancer Institute, Salt Lake City, UT
| | - Lynda Ann Dzubinski
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - William M. Grady
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA
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18
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Siegel EM, Ulrich CM, Shibata D. Risk Stratification for Early-onset Colorectal Cancer Screening: Are We Ready for Implementation? Cancer Prev Res (Phila) 2023; 16:479-481. [PMID: 37655450 DOI: 10.1158/1940-6207.capr-23-0239] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/12/2023] [Accepted: 07/12/2023] [Indexed: 09/02/2023]
Abstract
Early-onset colorectal cancer (EOCRC) is increasing at alarming rates and identifying risk factors is a high priority. There is a need to develop risk stratification approaches for colorectal cancer screening among younger populations. Although there is a growing body of evidence identifying risk factors for EOCRC, including the report by Imperiale and colleagues in this issue, risk stratification for EOCRC screening has not been implemented into practice. This publication highlights how essential it is to bring research findings into practice and bridge the gaps between developing risk prediction modeling in epidemiology and implementation science. While encouraging, we are still a long way off from having a clinically applicable risk prediction tool. See related article by Imperiale et al., p. 513.
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Affiliation(s)
- Erin M Siegel
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Cornelia M Ulrich
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
- Huntsman Cancer Institute, Salt Lake City, Utah
| | - David Shibata
- Department of Surgery, University of Tennessee Health Science Center, Memphis, Tennessee
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19
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Dimou N, Kim AE, Flanagan O, Murphy N, Diez-Obrero V, Shcherbina A, Aglago EK, Bouras E, Campbell PT, Casey G, Gallinger S, Gruber SB, Jenkins MA, Lin Y, Moreno V, Ruiz-Narvaez E, Stern MC, Tian Y, Tsilidis KK, Arndt V, Barry EL, Baurley JW, Berndt SI, Bézieau S, Bien SA, Bishop DT, Brenner H, Budiarto A, Carreras-Torres R, Cenggoro TW, Chan AT, Chang-Claude J, Chanock SJ, Chen X, Conti DV, Dampier CH, Devall M, Drew DA, Figueiredo JC, Giles GG, Gsur A, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jordahl K, Kawaguchi E, Keku TO, Larsson SC, Le Marchand L, Lewinger JP, Li L, Mahesworo B, Morrison J, Newcomb PA, Newton CC, Obon-Santacana M, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Pharoah PDP, Platz EA, Potter JD, Rennert G, Scacheri PC, Schoen RE, Su YR, Tangen CM, Thibodeau SN, Thomas DC, Ulrich CM, Um CY, van Duijnhoven FJB, Visvanathan K, Vodicka P, Vodickova L, White E, Wolk A, Woods MO, Qu C, Kundaje A, Hsu L, Gauderman WJ, Gunter MJ, Peters U. Probing the diabetes and colorectal cancer relationship using gene - environment interaction analyses. Br J Cancer 2023; 129:511-520. [PMID: 37365285 PMCID: PMC10403521 DOI: 10.1038/s41416-023-02312-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 05/10/2023] [Accepted: 06/06/2023] [Indexed: 06/28/2023] Open
Abstract
BACKGROUND Diabetes is an established risk factor for colorectal cancer. However, the mechanisms underlying this relationship still require investigation and it is not known if the association is modified by genetic variants. To address these questions, we undertook a genome-wide gene-environment interaction analysis. METHODS We used data from 3 genetic consortia (CCFR, CORECT, GECCO; 31,318 colorectal cancer cases/41,499 controls) and undertook genome-wide gene-environment interaction analyses with colorectal cancer risk, including interaction tests of genetics(G)xdiabetes (1-degree of freedom; d.f.) and joint testing of Gxdiabetes, G-colorectal cancer association (2-d.f. joint test) and G-diabetes correlation (3-d.f. joint test). RESULTS Based on the joint tests, we found that the association of diabetes with colorectal cancer risk is modified by loci on chromosomes 8q24.11 (rs3802177, SLC30A8 - ORAA: 1.62, 95% CI: 1.34-1.96; ORAG: 1.41, 95% CI: 1.30-1.54; ORGG: 1.22, 95% CI: 1.13-1.31; p-value3-d.f.: 5.46 × 10-11) and 13q14.13 (rs9526201, LRCH1 - ORGG: 2.11, 95% CI: 1.56-2.83; ORGA: 1.52, 95% CI: 1.38-1.68; ORAA: 1.13, 95% CI: 1.06-1.21; p-value2-d.f.: 7.84 × 10-09). DISCUSSION These results suggest that variation in genes related to insulin signaling (SLC30A8) and immune function (LRCH1) may modify the association of diabetes with colorectal cancer risk and provide novel insights into the biology underlying the diabetes and colorectal cancer relationship.
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Affiliation(s)
- Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
| | - Andre E Kim
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Orlagh Flanagan
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Virginia Diez-Obrero
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Barcelona, 08908, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, 08908, Spain
| | - Anna Shcherbina
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Elom K Aglago
- School of Public Health, Imperial College London, London, United Kingdom
| | - Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Graham Casey
- Department of Public Health Sciences, Center for Public Health Genomics, Charlottesville, VA, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada
| | - Stephen B Gruber
- Center for Precision Medicine, Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Victor Moreno
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, 08908, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Edward Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Mariana C Stern
- Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Yu Tian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- School of Public Health, Capital Medical University, Beijing, China
| | - Kostas K Tsilidis
- School of Public Health, Imperial College London, London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Elizabeth L Barry
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - James W Baurley
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
- BioRealm LLC, Walnut, CA, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stéphane Bézieau
- Nantes Université, CHU Nantes, Service de Génétique médicale, F-44000, Nantes, France
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Arif Budiarto
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
- Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia
| | - Robert Carreras-Torres
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, 8908, Barcelona, Spain
| | - Tjeng Wawan Cenggoro
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xuechen Chen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - David V Conti
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Christopher H Dampier
- Department of Public Health Sciences, Center for Public Health Genomics, Charlottesville, VA, USA
- Department of General Surgery, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Matthew Devall
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | - David A Drew
- Clinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Andrea Gsur
- Center for Cancer Research, Medical University of Vienna, Vienna, Austria
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Akihisa Hidaka
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Kristina Jordahl
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Eric Kawaguchi
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Juan Pablo Lewinger
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | - Bharuno Mahesworo
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - John Morrison
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- School of Public Health, University of Washington, Seattle, WA, USA
| | - Christina C Newton
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Mireia Obon-Santacana
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), Avda Gran Via Barcelona 199-203, 08908L'Hospitalet de Llobregat, Barcelona, Spain
| | - Jennifer Ose
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UH, USA
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Nikos Papadimitriou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Bens Pardamean
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Anita R Peoples
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UH, USA
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Peter C Scacheri
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Yu-Ru Su
- Biostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Duncan C Thomas
- Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UH, USA
| | - Caroline Y Um
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | | | - Kala Visvanathan
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Ludmila Vodickova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, NL, Canada
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
- School of Public Health, Imperial College London, London, United Kingdom
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
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20
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Aglago EK, Kim A, Lin Y, Qu C, Evangelou M, Ren Y, Morrison J, Albanes D, Arndt V, Barry EL, Baurley JW, Berndt SI, Bien SA, Bishop DT, Bouras E, Brenner H, Buchanan DD, Budiarto A, Carreras-Torres R, Casey G, Cenggoro TW, Chan AT, Chang-Claude J, Chen X, Conti DV, Devall M, Diez-Obrero V, Dimou N, Drew D, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gsur A, Gunter MJ, Hampel H, Harlid S, Hidaka A, Harrison TA, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl K, Joshi AD, Kawaguchi ES, Keku TO, Kundaje A, Larsson SC, Marchand LL, Lewinger JP, Li L, Lynch BM, Mahesworo B, Mandic M, Obón-Santacana M, Moreno V, Murphy N, Nan H, Nassir R, Newcomb PA, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Platz EA, Potter JD, Prentice RL, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Shcherbina A, Slattery ML, Stern MC, Su YR, Tangen CM, Thibodeau SN, Thomas DC, Tian Y, Ulrich CM, van Duijnhoven FJB, Van Guelpen B, Visvanathan K, Vodicka P, Wang J, White E, Wolk A, Woods MO, Wu AH, Zemlianskaia N, Hsu L, Gauderman WJ, Peters U, Tsilidis KK, Campbell PT. A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk. Cancer Res 2023; 83:2572-2583. [PMID: 37249599 PMCID: PMC10391330 DOI: 10.1158/0008-5472.can-22-3713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 02/25/2023] [Accepted: 05/24/2023] [Indexed: 05/31/2023]
Abstract
Colorectal cancer risk can be impacted by genetic, environmental, and lifestyle factors, including diet and obesity. Gene-environment interactions (G × E) can provide biological insights into the effects of obesity on colorectal cancer risk. Here, we assessed potential genome-wide G × E interactions between body mass index (BMI) and common SNPs for colorectal cancer risk using data from 36,415 colorectal cancer cases and 48,451 controls from three international colorectal cancer consortia (CCFR, CORECT, and GECCO). The G × E tests included the conventional logistic regression using multiplicative terms (one degree of freedom, 1DF test), the two-step EDGE method, and the joint 3DF test, each of which is powerful for detecting G × E interactions under specific conditions. BMI was associated with higher colorectal cancer risk. The two-step approach revealed a statistically significant G×BMI interaction located within the Formin 1/Gremlin 1 (FMN1/GREM1) gene region (rs58349661). This SNP was also identified by the 3DF test, with a suggestive statistical significance in the 1DF test. Among participants with the CC genotype of rs58349661, overweight and obesity categories were associated with higher colorectal cancer risk, whereas null associations were observed across BMI categories in those with the TT genotype. Using data from three large international consortia, this study discovered a locus in the FMN1/GREM1 gene region that interacts with BMI on the association with colorectal cancer risk. Further studies should examine the potential mechanisms through which this locus modifies the etiologic link between obesity and colorectal cancer. SIGNIFICANCE This gene-environment interaction analysis revealed a genetic locus in FMN1/GREM1 that interacts with body mass index in colorectal cancer risk, suggesting potential implications for precision prevention strategies.
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Affiliation(s)
- Elom K. Aglago
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, United Kingdom
| | - Andre Kim
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Marina Evangelou
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, United Kingdom
| | - Yu Ren
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, United Kingdom
| | - John Morrison
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Elizabeth L. Barry
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - James W. Baurley
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
- BioRealm LLC, Walnut, California
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephanie A. Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - D. Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, United Kingdom
| | - Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel D. Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Arif Budiarto
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
- Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia
| | - Robert Carreras-Torres
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), Salt, Girona, Spain
| | - Graham Casey
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia
| | - Tjeng Wawan Cenggoro
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Andrew T. Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Xuechen Chen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - David V. Conti
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Matthew Devall
- Department of Family Medicine, University of Virginia, Charlottesville, Virginia
| | - Virginia Diez-Obrero
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - David Drew
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jane C. Figueiredo
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Graham G. Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Stephen B. Gruber
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte California
| | - Andrea Gsur
- Center for Cancer Research, Medical University of Vienna, Vienna, Austria
| | - Marc J. Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Heather Hampel
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte California
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Akihisa Hidaka
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Tabitha A. Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jeroen R. Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Mark A. Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Kristina Jordahl
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Amit D. Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Eric S. Kawaguchi
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Temitope O. Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, California
- Department of Computer Science, Stanford University, Stanford, California
| | - Susanna C. Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Juan Pablo Lewinger
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, Virginia
| | - Brigid M. Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Bharuno Mahesworo
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Marko Mandic
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Mireia Obón-Santacana
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Victor Moreno
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Hongmei Nan
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indianapolis, Indiana
- IU Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, Indiana
| | - Rami Nassir
- Department of Pathology, School of Medicine, Umm Al-Qura'a University, Mecca, Saudi Arabia
| | - Polly A. Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Shuji Ogino
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jennifer Ose
- Huntsman Cancer Institute, Salt Lake City, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Rish K. Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, Arizona
| | - Julie R. Palmer
- Department of Medicine, Boston University School of Medicine, Slone Epidemiology Center, Boston University, Boston, Massachusetts
| | - Nikos Papadimitriou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Bens Pardamean
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Anita R. Peoples
- Huntsman Cancer Institute, Salt Lake City, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Elizabeth A. Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - John D. Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Ross L. Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Edward Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Lori C. Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Peter C. Scacheri
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio
| | | | - Robert E. Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Anna Shcherbina
- Department of Genetics, Stanford University, Stanford, California
- Department of Computer Science, Stanford University, Stanford, California
| | - Martha L. Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | - Mariana C. Stern
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Catherine M. Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Stephen N. Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Duncan C. Thomas
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Yu Tian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- School of Public Health, Capital Medical University, Beijing, China
| | - Cornelia M. Ulrich
- Huntsman Cancer Institute, Salt Lake City, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Franzel JB van Duijnhoven
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Jun Wang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael O. Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Canada
| | - Anna H. Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Natalia Zemlianskaia
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - W. James Gauderman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Konstantinos K. Tsilidis
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Peter T. Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
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21
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Ose J, Gigic B, Brezina S, Lin T, Peoples AR, Schobert PP, Baierl A, van Roekel E, Robinot N, Gicquiau A, Achaintre D, Scalbert A, van Duijnhoven FJB, Holowatyj AN, Gumpenberger T, Schrotz-King P, Ulrich AB, Ulvik A, Ueland PM, Weijenberg MP, Habermann N, Keski-Rahkonen P, Gsur A, Kok DE, Ulrich CM. Higher Plasma Creatinine Is Associated with an Increased Risk of Death in Patients with Non-Metastatic Rectal but Not Colon Cancer: Results from an International Cohort Consortium. Cancers (Basel) 2023; 15:3391. [PMID: 37444500 PMCID: PMC10340258 DOI: 10.3390/cancers15133391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 05/30/2023] [Accepted: 06/13/2023] [Indexed: 07/15/2023] Open
Abstract
Colorectal cancer (CRC) is increasingly recognized as a heterogeneous disease. No studies have prospectively examined associations of blood metabolite concentrations with all-cause mortality in patients with colon and rectal cancer separately. Targeted metabolomics (Biocrates AbsoluteIDQ p180) and pathway analyses (MetaboAnalyst 4.0) were performed on pre-surgery collected plasma from 674 patients with non-metastasized (stage I-III) colon (n = 394) or rectal cancer (n = 283). Metabolomics data and covariate information were received from the international cohort consortium MetaboCCC. Cox proportional hazards models were computed to investigate associations of 148 metabolite levels with all-cause mortality adjusted for age, sex, tumor stage, tumor site (whenever applicable), and cohort; the false discovery rate (FDR) was used to account for multiple testing. A total of 93 patients (14%) were deceased after an average follow-up time of 4.4 years (60 patients with colon cancer and 33 patients with rectal cancer). After FDR adjustment, higher plasma creatinine was associated with a 39% increase in all-cause mortality in patients with rectal cancer. HR: 1.39, 95% CI 1.23-1.72, pFDR = 0.03; but not colon cancer: pFDR = 0.96. Creatinine is a breakdown product of creatine phosphate in muscle and may reflect changes in skeletal muscle mass. The starch and sucrose metabolisms were associated with increased all-cause mortality in colon cancer but not in rectal cancer. Genes in the starch and sucrose metabolism pathways were previously linked to worse clinical outcomes in CRC. In summary, our findings support the hypothesis that colon and rectal cancer have different etiological and clinical outcomes that need to be considered for targeted treatments.
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Affiliation(s)
- Jennifer Ose
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Biljana Gigic
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, 69117 Heidelberg, Germany; (B.G.)
| | - Stefanie Brezina
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, 23, 1090 Vienna, Austria; (S.B.)
| | - Tengda Lin
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Anita R. Peoples
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Pauline P. Schobert
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84112, USA
- School of Medicine, Ludwig-Maximilians University, 80539 Munich, Germany
- School of Medicine, Technical University of Munich, 80333 Munich, Germany
| | - Andreas Baierl
- Department of Statistics and Operations Research, University of Vienna, 1, 1010 Wien, Austria
| | - Eline van Roekel
- Department of Epidemiology, GROW-School of Oncology and Developmental Biology, Maastricht University, 30, 6229 Maastricht, The Netherlands
| | - Nivonirina Robinot
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, WHO, 69366 Lyon, France
| | - Audrey Gicquiau
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, WHO, 69366 Lyon, France
| | - David Achaintre
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, WHO, 69366 Lyon, France
| | - Augustin Scalbert
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, WHO, 69366 Lyon, France
| | | | - Andreana N. Holowatyj
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84112, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Vanderbilt-Ingram Cancer Center, Nashville, TN 37232, USA
| | - Tanja Gumpenberger
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, 23, 1090 Vienna, Austria; (S.B.)
| | - Petra Schrotz-King
- Division of Preventive Oncology, National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Alexis B. Ulrich
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, 69117 Heidelberg, Germany; (B.G.)
- Klinik für Allgemein-, Viszeral-, Thorax- und Gefäßchirurgie, Städtische Kliniken Neuss, 84, 41464 Neuss, Germany
| | | | | | - Matty P. Weijenberg
- Department of Epidemiology, GROW-School of Oncology and Developmental Biology, Maastricht University, 30, 6229 Maastricht, The Netherlands
| | - Nina Habermann
- Genome Biology, European Molecular Biology Laboratory (EMBL), 69117 Heidelberg, Germany
| | - Pekka Keski-Rahkonen
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, WHO, 69366 Lyon, France
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, 23, 1090 Vienna, Austria; (S.B.)
| | - Dieuwertje E. Kok
- Division of Human Nutrition and Health, Wageningen University & Research, 6708 Wageningen, The Netherlands
| | - Cornelia M. Ulrich
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84112, USA
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22
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Wheeler CE, Coleman SS, Hoyd R, Denko L, Chan CHF, Churchman ML, Denko N, Dodd RD, Eljilany I, Hardikar S, Husain M, Ikeguchi AP, Jin N, Ma Q, McCarter MD, Osman AEG, Robinson LA, Singer EA, Tinoco G, Ulrich CM, Zakharia Y, Spakowicz D, Tarhini AA, Tan AC. The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors. bioRxiv 2023:2023.05.24.542123. [PMID: 37292921 PMCID: PMC10245822 DOI: 10.1101/2023.05.24.542123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Emerging evidence supports the important role of the tumor microbiome in oncogenesis, cancer immune phenotype, cancer progression, and treatment outcomes in many malignancies. In this study, we investigated the metastatic melanoma tumor microbiome and potential roles in association with clinical outcomes, such as survival, in patients with metastatic disease treated with immune checkpoint inhibitors (ICIs). Baseline tumor samples were collected from 71 patients with metastatic melanoma before treatment with ICIs. Bulk RNA-seq was conducted on the formalin-fixed paraffin-embedded (FFPE) tumor samples. Durable clinical benefit (primary clinical endpoint) following ICIs was defined as overall survival ≥24 months and no change to the primary drug regimen (responders). We processed RNA-seq reads to carefully identify exogenous sequences using the {exotic} tool. The 71 patients with metastatic melanoma ranged in age from 24 to 83 years, 59% were male, and 55% survived >24 months following the initiation of ICI treatment. Exogenous taxa were identified in the tumor RNA-seq, including bacteria, fungi, and viruses. We found differences in gene expression and microbe abundances in immunotherapy responsive versus non-responsive tumors. Responders showed significant enrichment of several microbes including Fusobacterium nucleatum, and non-responders showed enrichment of fungi, as well as several bacteria. These microbes correlated with immune-related gene expression signatures. Finally, we found that models for predicting prolonged survival with immunotherapy using both microbe abundances and gene expression outperformed models using either dataset alone. Our findings warrant further investigation and potentially support therapeutic strategies to modify the tumor microbiome in order to improve treatment outcomes with ICIs.
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Affiliation(s)
- Caroline E Wheeler
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Samuel S Coleman
- Departments of Oncological Science and Biomedical Informatics, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Rebecca Hoyd
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Louis Denko
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Carlos H F Chan
- University of Iowa, Holden Comprehensive Cancer Center, Iowa City, IA, USA
| | | | - Nicholas Denko
- Department of Radiation Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Rebecca D Dodd
- Department of Internal Medicine, University of Iowa, Iowa City, IA, USA
| | - Islam Eljilany
- Clinical Science Lab -- Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Sheetal Hardikar
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Marium Husain
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Alexandra P Ikeguchi
- Department of Hematology/Oncology, Stephenson Cancer Center of University of Oklahoma, Oklahoma City, OK, USA
| | - Ning Jin
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Qin Ma
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Martin D McCarter
- Department of Surgery, University of Colorado School of Medicine, Aurora, CO, USA
| | - Afaf E G Osman
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Lary A Robinson
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Eric A Singer
- Department of Urologic Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Gabriel Tinoco
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Cornelia M Ulrich
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Yousef Zakharia
- Division of Oncology, Hematology and Blood & Marrow Transplantation, University of Iowa, Holden Comprehensive Cancer Center, Iowa City, IA, USA
| | - Daniel Spakowicz
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Ahmad A Tarhini
- Departments of Cutaneous Oncology and Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Aik Choon Tan
- Departments of Oncological Science and Biomedical Informatics, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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23
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Wang C, Ma A, McNutt ME, Hoyd R, Wheeler CE, Robinson LA, Chan CH, Zakharia Y, Dodd RD, Ulrich CM, Hardikar S, Churchman ML, Tarhini AA, Singer EA, Ikeguchi AP, McCarter MD, Denko N, Tinoco G, Husain M, Jin N, Osman AE, Eljilany I, Tan AC, Coleman SS, Denko L, Riedlinger G, Schneider BP, Spakowicz D, Ma Q. A bioinformatics tool for identifying intratumoral microbes from the ORIEN dataset. bioRxiv 2023:2023.05.24.541982. [PMID: 37292990 PMCID: PMC10245834 DOI: 10.1101/2023.05.24.541982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Evidence supports significant interactions among microbes, immune cells, and tumor cells in at least 10-20% of human cancers, emphasizing the importance of further investigating these complex relationships. However, the implications and significance of tumor-related microbes remain largely unknown. Studies have demonstrated the critical roles of host microbes in cancer prevention and treatment responses. Understanding interactions between host microbes and cancer can drive cancer diagnosis and microbial therapeutics (bugs as drugs). Computational identification of cancer-specific microbes and their associations is still challenging due to the high dimensionality and high sparsity of intratumoral microbiome data, which requires large datasets containing sufficient event observations to identify relationships, and the interactions within microbial communities, the heterogeneity in microbial composition, and other confounding effects that can lead to spurious associations. To solve these issues, we present a bioinformatics tool, MEGA, to identify the microbes most strongly associated with 12 cancer types. We demonstrate its utility on a dataset from a consortium of 9 cancer centers in the Oncology Research Information Exchange Network (ORIEN). This package has 3 unique features: species-sample relations are represented in a heterogeneous graph and learned by a graph attention network; it incorporates metabolic and phylogenetic information to reflect intricate relationships within microbial communities; and it provides multiple functionalities for association interpretations and visualizations. We analyzed 2704 tumor RNA-seq samples and MEGA interpreted the tissue-resident microbial signatures of each of 12 cancer types. MEGA can effectively identify cancer-associated microbial signatures and refine their interactions with tumors.
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Affiliation(s)
- Cankun Wang
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Anjun Ma
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus; OH, USA
| | - Megan E. McNutt
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Rebecca Hoyd
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Caroline E. Wheeler
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Lary A. Robinson
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Carlos H.F. Chan
- University of Iowa, Holden Comprehensive Cancer Center, Iowa City, IA, USA
| | - Yousef Zakharia
- Division of Oncology, Hematology and Blood & Marrow Transplantation, University of Iowa, Holden Comprehensive Cancer Center, Iowa City, IA, USA
| | - Rebecca D. Dodd
- Department of Internal Medicine, University of Iowa, Iowa City, IA, USA
| | - Cornelia M. Ulrich
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Sheetal Hardikar
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | | | - Ahmad A. Tarhini
- Departments of Cutaneous Oncology and Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Eric A. Singer
- Department of Urologic Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Alexandra P. Ikeguchi
- Department of Hematology/Oncology, Stephenson Cancer Center of University of Oklahoma, Oklahoma City, OK, USA
| | - Martin D. McCarter
- Department of Surgery, University of Colorado School of Medicine, Aurora, CO, USA
| | - Nicholas Denko
- Department of Radiation Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Gabriel Tinoco
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Marium Husain
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Ning Jin
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Afaf E.G. Osman
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Islam Eljilany
- Clinical Science Lab -- Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Aik Choon Tan
- Departments of Oncological Science and Biomedical Informatics, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Samuel S. Coleman
- Departments of Oncological Science and Biomedical Informatics, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Louis Denko
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus; OH, USA
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Gregory Riedlinger
- Department of Precision Medicine, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Bryan P. Schneider
- Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN, USA
| | - Daniel Spakowicz
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus; OH, USA
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Qin Ma
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus; OH, USA
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24
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Hiensch AE, Beckhaus J, Witlox L, Monninkhof EM, Schagen SB, van Vulpen JK, Sweegers MG, Newton RU, Aaronson NK, Galvão DA, Steindorf K, Stuiver MM, Mesters I, Knoop H, Goedendorp MM, Bohus M, Thorsen L, Schulz KH, Schmidt ME, Ulrich CM, Sonke GS, van Harten WH, Winters-Stone KM, Velthuis MJ, Taaffe DR, van Mechelen W, Kersten MJ, Nollet F, Wiskemann J, Buffart LM, May AM. Moderators of exercise effects on self-reported cognitive functioning in cancer survivors: an individual participant data meta-analysis. J Cancer Surviv 2023:10.1007/s11764-023-01392-3. [PMID: 37160571 DOI: 10.1007/s11764-023-01392-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/25/2023] [Indexed: 05/11/2023]
Abstract
PURPOSE This individual participant data meta-analysis (IPD-MA) assesses exercise effects on self-reported cognitive functioning (CF) and investigates whether effects differ by patient-, intervention-, and exercise-related characteristics. METHODS IPD from 16 exercise RCTs, including 1987 patients across multiple types of non-metastatic cancer, was pooled. A one-stage IPD-MA using linear mixed-effect models was performed to assess exercise effects on self-reported CF (z-score) and to identify whether the effect was moderated by sociodemographic, clinical, intervention- and exercise-related characteristics, or fatigue, depression, anxiety, and self-reported CF levels at start of the intervention (i.e., baseline). Models were adjusted for baseline CF and included a random intercept at study level to account for clustering of patients within studies. A sensitivity analysis was performed in patients who reported cognitive problems at baseline. RESULTS Minimal significant beneficial exercise effects on self-reported CF (β=-0.09 [-0.16; -0.02]) were observed, with slightly larger effects when the intervention was delivered post-treatment (n=745, β=-0.13 [-0.24; -0.02]), and no significant effect during cancer treatment (n=1,162, β=-0.08 [-0.18; 0.02]). Larger effects were observed in interventions of 12 weeks or shorter (β=-0.14 [-0.25; -0.04]) or 24 weeks or longer (β=-0.18 [-0.32; -0.02]), whereas no effects were observed in interventions of 12-24 weeks (β=0.01 [-0.13; 0.15]). Exercise interventions were most beneficial when provided to patients without anxiety symptoms (β=-0.10 [-0.19; -0.02]) or after completion of treatment in patients with cognitive problems (β=-0.19 [-0.31; -0.06]). No other significant moderators were identified. CONCLUSIONS This cross-cancer IPD meta-analysis observed small beneficial exercise effects on self-reported CF when the intervention was delivered post-treatment, especially in patients who reported cognitive problems at baseline. IMPLICATIONS FOR CANCER SURVIVORS This study provides some evidence to support the prescription of exercise to improve cognitive functioning. Sufficiently powered trials are warranted to make more definitive recommendations and include these in the exercise guidelines for cancer survivors.
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Affiliation(s)
- Anouk E Hiensch
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Julia Beckhaus
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Lenja Witlox
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Evelyn M Monninkhof
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Sanne B Schagen
- Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Jonna K van Vulpen
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Maike G Sweegers
- Division of Psychosocial Research and Epidemiology & Center for Quality of Life, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Robert U Newton
- Exercise Medicine Research Institute, Edith Cowan University, Perth, WA, Australia
| | - Neil K Aaronson
- Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Daniel A Galvão
- Exercise Medicine Research Institute, Edith Cowan University, Perth, WA, Australia
| | - Karen Steindorf
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany
| | - Martijn M Stuiver
- Division of Psychosocial Research and Epidemiology & Center for Quality of Life, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Ilse Mesters
- Department of Epidemiology, Maastricht University, Maastricht, The Netherlands
| | - Hans Knoop
- Department of Medical Psychology, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Martine M Goedendorp
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Martin Bohus
- Institute of Psychiatric and Psychosomatic Psychotherapy, Central Institute of Mental Health, Mannheim, Heidelberg University, Heidelberg, Germany
- Faculty of Health, University of Antwerp, Antwerp, Belgium
| | - Lene Thorsen
- National Advisory Unit on Late Effects after Cancer, Department of Oncology, Oslo University Hospital, Oslo, Norway
- Department of Clinical Service, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway
| | - Karl-Heinz Schulz
- Athleticum - Competence Center for Sports- and Exercise Medicine and Institute for Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Martina E Schmidt
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, USA
| | - Gabe S Sonke
- Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Wim H van Harten
- Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Health Technology and Services Research, University of Twente, Enschede, The Netherlands
| | - Kerri M Winters-Stone
- Division of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Miranda J Velthuis
- Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands
| | - Dennis R Taaffe
- Exercise Medicine Research Institute, Edith Cowan University, Perth, WA, Australia
| | - Willem van Mechelen
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, location: Vrije Universiteit, Amsterdam, The Netherlands
- School of Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences, University of Queensland, Brisbane, Australia
- Division of Exercise Science and Sports Medicine (ESSM), Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- School of Public Health, Physiotherapy and Population Sciences, University College Dublin, Dublin, Ireland
| | - Marie José Kersten
- Department of Hematology, Amsterdam University Medical Centers, Location University of Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Frans Nollet
- Department of Rehabilitation Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, The Netherlands
| | - Joachim Wiskemann
- Working Group Exercise Oncology, Division of Medical Oncology, University Clinic Heidelberg and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Laurien M Buffart
- Exercise Medicine Research Institute, Edith Cowan University, Perth, WA, Australia.
- Department of Physiology, Radboudumc, Nijmegen, The Netherlands.
| | - Anne M May
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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25
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Gigic B, Ose J, Brezina S, Geijsen AJMR, Ulvik A, van Roekel EH, Holowatyj AN, Kok DE, van Duijnhoven FJB, Damerell V, Li CI, Habermann N, Ulrich AB, Weijenberg MP, Gsur A, Ueland PM, Kampman E, Schneider M, Ulrich CM. Abstract 1010: Circulating biomarkers of vitamin B1, B2, and B3 status and their associations with clinical outcomes among non-metastatic colorectal cancer patients: results from the FOCUS Consortium. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-1010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Introduction: Circulating levels of biomarkers indicating better B vitamin status appear to have a protective effect on various medical conditions, while they also contribute to the reduction in risk of some cancer entities, e.g. colorectal cancer (CRC). However, little is known about the associations of circulating vitamin B biomarkers with clinical outcomes among CRC patients, such as overall survival (OS), disease-free survival (DFS), and risk of recurrence. Recently, we showed that higher vitamin B6 status is associated with improved OS and DFS. In the present study, we further investigated associations of vitamin B1, B2, and B3 status with clinical outcomes in a prospective cohort of non-metastatic CRC patients.
Materials and Methods: A total of 2,102 patients with stage I-III CRC participated in six cohorts in the international FOCUS Consortium. Circulating concentrations of vitamin B biomarkers (thiamine and thiamine monophosphate (representing vitamin B1), riboflavin (vitamin B2), and vitamin B3 markers N1-methylnicotinamide and nicotinamide were measured by liquid chromatography-tandem mass spectrometry in preoperative blood samples. Using Cox proportional hazards regression, we examined associations of vitamin B1, B2, B3 status, and related biomarkers with OS, DFS, and risk of recurrence. Models were adjusted for patient age, sex, circulating creatinine levels, tumor site, tumor stage, and study site.
Results and Discussion: After a median follow-up of 3.2 years for OS, higher levels of thiamine monophosphate were associated with lower risk of all-cause mortality (HROS: 0.82; 95% CI, 0.71-0.95, p=0.008). Furthermore, higher riboflavin levels were associated with improved OS (HROS: 0.88; 95% CI, 0.78-0.98, p=0.03) and DFS (HRDFS: 0.91; 95% CI, 0.83-0.99, p=0.04). We did not observe any associations of thiamine, N1-methylnicotinamide, and nicotinamide with clinical outcomes among CRC patients.
Conclusion: Findings from this multi-centre study of non-metastatic CRC patients yield important clinical information. We observed significantly improved OS among patients with higher levels of thiamine monophosphate after CRC diagnosis. Further, higher preoperative riboflavin may represent a promising predictor for OS and DFS among non-metastatic CRC patients.
Citation Format: Biljana Gigic, Jennifer Ose, Stefanie Brezina, Anne JMR Geijsen, Arve Ulvik, Eline H. van Roekel, Andreana N. Holowatyj, Dieuwertje E. Kok, Fränzel JB van Duijnhoven, Victoria Damerell, Christopher I. Li, Nina Habermann, Alexis B. Ulrich, Matty P. Weijenberg, Andrea Gsur, Per M. Ueland, Ellen Kampman, Martin Schneider, Cornelia M. Ulrich. Circulating biomarkers of vitamin B1, B2, and B3 status and their associations with clinical outcomes among non-metastatic colorectal cancer patients: results from the FOCUS Consortium [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1010.
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Affiliation(s)
- Biljana Gigic
- 1Heidelberg University Hospital (UKHD), Heidelberg, Germany
| | | | | | | | | | | | | | | | | | | | | | - Nina Habermann
- 9European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | | | | | - Andrea Gsur
- 3Medical University of Vienna, Vienna, Austria
| | | | - Ellen Kampman
- 4Wageningen University & Research, Wageningen, Netherlands
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Ose J, Beswick E, Van ST, Viskochil RH, Warby CA, Yap JT, Covington MF, Nguyen AH, Stanford JW, Lin T, Peoples AR, Hardikar S, Li CI, Grady WM, Shibatta D, Toriola AT, Schneider M, Figueiredo JC, Jeong D, Siegel EM, Ulrich CM, Gigic B. Abstract 355: Examination of systemic myokine concentrations with risk of cachexia in non-metastatic colorectal cancer patients - Results from the ColoCare Study. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
BACKGROUND: Cachexia is a multifactorial metabolic syndrome associated with higher risk of mortality. The precise molecular mechanisms and biological pathways involved remain poorly characterized. A specific criterion of cachexia is loss of muscle mass. Myokines affect muscle mass and have profound effects on glucose and lipid metabolism, thus contributing to energy homeostasis and potentially cachexia. Only sparse data for patients with non-metastatic colorectal cancer exist. This study aims to investigate associations of systemic myokine concentrations with onset of cachexia in non-metastatic colorectal cancer patients.
METHODS: Serum samples from n=125 colorectal cancer patients (stage I-III) recruited from the ColoCare Study site at Huntsman Cancer Institute were collected prior to surgery (baseline). Assays were run with the Milliplex Human Myokine Magnetic panel containing beads such as FABP3, Oncostatin M, and FGF21. Patients were defined as cachectic, pre-cachectic, or non-cachectic based on the criteria by Fearon et al. based on sex, BMI, and weight loss over a period of six months. ANOVA were applied to analyze associations of myokines with cachexia at 12 month after surgery, adjusted by age at diagnosis, sex, tumor stage, and tumor site.
RESULTS: At the 12 months follow-up, 11% of patients were diagnosed with cachexia (n=14), 14% of patients with pre-cachexia (n=18), and 74% of patients were defined as non-cachectic. Patients with cachexia were more likely to be diagnosed with rectal cancer (57%) compared to pre-cachectic (17%) or non-cachectic patients (42%; p<0.01). Patients who received neo-adjuvant treatment were more likely to be cachectic compared to pre-cachectic or non-cachectic patients (36% vs 11% vs 26%, respectively, p<0.01). FABP3 at baseline was significantly different across the three groups, e.g., FABP3 was 11.4 pg/ml for cachectic patients, 10.5 pg/ml for pre-cachectic patients, and 10.4 pg/ml for non-cachectic patients (p=0.02). FABP3 was associated with 65% increased risk of cachexia in unadjusted models, e.g., Odds ratio 1.65, 95% Confidence Intervals 1.05-2.61; p=0.03). After additional adjustment for age, sex, tumor site, and tumor stage the result was non-significant (p=0.26). There were no statistically significant differences in FGF21 and Oncostatin M concentrations across cachexia stages. C
ONCLUSIONS: Cachectic patients presented higher FABP3 concentrations (p=0.02) which were associated with increased risk of cachexia, however these results were not significant after adjustment. In this study, cachectic patients were more likely to be diagnosed with rectal cancer. In summary, larger studies are needed to further evaluate FABP3 and other myokines as potential prognostic biomarkers for cachexia and consider differences by tumor site.
Citation Format: Jennifer Ose, Ellen Beswick, Simon Ta Van, Richard H. Viskochil, Christy A. Warby, Jeffrey T. Yap, Matthew F. Covington, Anne H. Nguyen, Jordan W. Stanford, Tengda Lin, Anita R. Peoples, Sheetal Hardikar, Christopher I. Li, William M. Grady, David Shibatta, Adetunji T. Toriola, Martin Schneider, Jane C. Figueiredo, Daniel Jeong, Erin M. Siegel, Cornelia M. Ulrich, Biljana Gigic. Examination of systemic myokine concentrations with risk of cachexia in non-metastatic colorectal cancer patients - Results from the ColoCare Study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 355.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Tengda Lin
- 1Huntsman Cancer Institute, Salt Lake City, UT
| | | | | | | | | | - David Shibatta
- 5University of Tennessee Health Science Center, Memphis, TN
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Himbert C, Ose J, Gigic B, Viskochil R, Santuci K, Lin T, Ashworth A, Cohan JN, Scaife CL, Jedrzkiewicz J, Damerell V, Atkins KM, Gong J, Mutch MG, Bernadt C, Felder S, Sanchez J, Cohen SA, Krane MK, Hinkle N, Wood E, Peoples AR, Figueiredo JC, Toriola AT, Siegel EM, Li CI, Shibata D, Boucher K, Round JL, Ulrich AB, Schneider M, Huang LC, Hardikar S, Ulrich CM. Associations of combined physical activity and body mass index groups with colorectal cancer survival outcomes. BMC Cancer 2023; 23:300. [PMID: 37013476 PMCID: PMC10069054 DOI: 10.1186/s12885-023-10695-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 03/01/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND Physical activity and BMI have been individually associated with cancer survivorship but have not yet been studied in combinations in colorectal cancer patients. Here, we investigate individual and combined associations of physical activity and BMI groups with colorectal cancer survival outcomes. METHODS Self-reported physical activity levels (MET hrs/wk) were assessed using an adapted version of the International Physical Activity Questionnaire (IPAQ) at baseline in 931 patients with stage I-III colorectal cancer and classified into 'highly active' and'not-highly active'(≥ / < 18 MET hrs/wk). BMI (kg/m2) was categorized into 'normal weight', 'overweight', and 'obese'. Patients were further classified into combined physical activity and BMI groups. Cox-proportional hazard models with Firth correction were computed to assess associations [hazard ratio (HR), 95% profile HR likelihood confidence interval (95% CI) between individual and combined physical activity and BMI groups with overall and disease-free survival in colorectal cancer patients. RESULTS 'Not-highly active' compared to 'highly active' and 'overweight'/ 'obese' compared to 'normal weight' patients had a 40-50% increased risk of death or recurrence (HR: 1.41 (95% CI: 0.99-2.06), p = 0.03; HR: 1.49 (95% CI: 1.02-2.21) and HR: 1.51 (95% CI: 1.02-2.26), p = 0.04, respectively). 'Not-highly active' patients had worse disease-free survival outcomes, regardless of their BMI, compared to 'highly active/normal weight' patients. 'Not-highly active/obese' patients had a 3.66 times increased risk of death or recurrence compared to 'highly active/normal weight' patients (HR: 4.66 (95% CI: 1.75-9.10), p = 0.002). Lower activity thresholds yielded smaller effect sizes. CONCLUSION Physical activity and BMI were individually associated with disease-free survival among colorectal cancer patients. Physical activity seems to improve survival outcomes in patients regardless of their BMI.
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Affiliation(s)
- Caroline Himbert
- University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Jennifer Ose
- University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | | | - Richard Viskochil
- University of Utah, Salt Lake City, UT, USA
- University of Massachusetts Boston, Boston, MA, USA
| | | | - Tengda Lin
- University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | | | - Jessica N Cohan
- University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Courtney L Scaife
- University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Jolanta Jedrzkiewicz
- University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | | | | | - Jun Gong
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Matthew G Mutch
- Washington University School of Medicine, St. Louis, MO, USA
| | - Corey Bernadt
- Washington University School of Medicine, St. Louis, MO, USA
| | - Seth Felder
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Julian Sanchez
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Stacey A Cohen
- Fred Hutchinson Cancer Center, University of Washington, Seattle, WA, USA
| | - Mukta K Krane
- Fred Hutchinson Cancer Center, University of Washington, Seattle, WA, USA
| | - Nathan Hinkle
- University of Tennessee Health Science Center, Memphis, TN, USA
| | - Elizabeth Wood
- University of Tennessee Health Science Center, Memphis, TN, USA
| | - Anita R Peoples
- University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | | | | | - Erin M Siegel
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Christopher I Li
- Fred Hutchinson Cancer Center, University of Washington, Seattle, WA, USA
| | - David Shibata
- University of Tennessee Health Science Center, Memphis, TN, USA
| | - Kenneth Boucher
- University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | | | | | | | - Lyen C Huang
- University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Sheetal Hardikar
- University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Cornelia M Ulrich
- University of Utah, Salt Lake City, UT, USA.
- Huntsman Cancer Institute, Salt Lake City, UT, USA.
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28
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Berghuijs KMVT, Kaddas HK, Trujillo G, Rouhani G, Chevrier A, Ose J, Shibata D, Toriola AT, Figueiredo JC, Peoples AR, Li CI, Hardikar S, Siegel EM, Gigic B, Schneider M, Ulrich CM, Kirchhoff AC. Age-related differences in employment, insurance, and financial hardship among colorectal cancer patients: a report from the ColoCare Study. J Cancer Surviv 2023:10.1007/s11764-023-01362-9. [PMID: 36949233 DOI: 10.1007/s11764-023-01362-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 03/10/2023] [Indexed: 03/24/2023]
Abstract
PURPOSE Employment and financial hardships are common issues for working-age colorectal cancer patients. We surveyed colorectal cancer survivors to investigate employment, insurance, and financial outcomes by age at diagnosis. METHODS Cross-sectional survey of six ColoCare Study sites regarding employment, insurance, and financial hardship outcomes. Eligible participants were 1 to 5 years from colorectal cancer diagnosis. Diagnosis age (18-49, 50-64, 65+ years) with outcomes of interest were compared using chi-square and t-tests. Multivariable logistic and Poisson regressions were fit to examine association of demographic factors with any material/psychological hardship (yes/no) and the count of hardships. RESULTS N = 202 participants completed the survey (age: 18-49 (n = 42, 20.8%), 50-64 (n = 79, 39.1%), 65+ (n = 81, 40.1%)). Most diagnosed age < 65 worked at diagnosis (18-49: 83%; 50-64: 64%; 65+ : 14%, p < 0.001) and continued working after diagnosis (18-49: 76%; 50-64: 59%; 65+ : 13%; p < 0.001). Participants age 18-49 reported cancer-related difficulties with mental (81.3%) and physical (89%) tasks at work more than those working in the older age groups (45%-61%). In regression models, among those reporting any hardship, the rates of material and psychological hardships were higher among those age 18-64 (Incidence Rate Ratios (IRR) range 1.5-2.3 vs. age 65+) and for those with < college (IRR range 1.3-1.6 vs. college +). CONCLUSIONS Younger colorectal cancer patients are more likely to work after a cancer diagnosis and during cancer treatment, but report higher levels of financial hardship than older patients. IMPLICATIONS FOR CANCER SURVIVORS Younger colorectal cancer patients may encounter financial hardship, thus may feel a need to work during and after treatment.
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Affiliation(s)
| | - Heydon K Kaddas
- Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Gillian Trujillo
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Gazelle Rouhani
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Amy Chevrier
- Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Jennifer Ose
- Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - David Shibata
- University of Tennessee Health Science Center, Memphis, TN, USA
| | - Adetunji T Toriola
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Jane C Figueiredo
- Cedars-Sinai Medical Center Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
| | - Anita R Peoples
- Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | | | - Sheetal Hardikar
- Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Erin M Siegel
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Biljana Gigic
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Martin Schneider
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Cornelia M Ulrich
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Anne C Kirchhoff
- Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
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29
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Lindley CL, Gigic B, Peoples AR, Han CJ, Lin T, Himbert C, Warby CA, Boehm J, Hardikar S, Ashworth A, Schneider M, Ulrich A, Schrotz-King P, Figueiredo JC, Li CI, Shibata D, Siegel EM, Toriola AT, Ulrich CM, Syrjala KL, Ose J. Pre-Surgery Inflammatory and Angiogenesis Biomarkers as Predictors of 12-Month Cancer-Related Distress: Results from the ColoCare Study. Cancer Epidemiol Biomarkers Prev 2023; 32:363-370. [PMID: 36595657 PMCID: PMC9991988 DOI: 10.1158/1055-9965.epi-22-0882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 11/18/2022] [Accepted: 12/27/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Patients with colorectal cancer commonly suffer from complex psychological distress. Elevated distress may be linked to systemic biomarkers. We investigated associations of biomarkers of inflammation and angiogenesis with cancer-related distress (CTXD) score. METHODS N = 315 patients (stage I-IV) from 2 centers of the ColoCare Study were included: Huntsman Cancer Institute and University of Heidelberg. Biomarkers (e.g., IL6, VEGF-A, VEGF-D) were measured in serum collected pre-surgery and 12 months thereafter. The CTXD overall score and 4 subscales were collected 12 months after surgery and dichotomized to investigate biomarkers as predictors of distress 12 months after surgery; adjusted for age, sex, body mass index, tumor stage, center, and baseline levels of biomarkers. RESULTS Doubling of IL6 predicted future increased risk of overall distress [odds ratio (OR), 1.20; 95% confidence interval (CI), 1.02-1.41; P = 0.03]. VEGF-A-predicted future increased risk of high family strain (VEGF-A: OR, 1.21; 95% CI, 1.01-1.44; P = 0.04) and VEGF-D was associated with medical and financial demands (OR, 1.34; 95% CI, 1.01-1.74; P = 0.03). CONCLUSIONS This is the first study to show that systemic biomarkers are significantly associated with future CTXD score. Distress was not measured at baseline; we cannot rule out ongoing associations of inflammation and distress throughout treatment versus a direct effect of inflammation on distress. Nonetheless, these data add to evidence that biobehavioral processes interact and that systemic biomarkers are associated with cancer-related distress one year after surgery. IMPACT Exercise and diet interventions that lower systemic cytokine levels may impact longer-term CTXD score and improve quality of life of patients with colorectal cancer.
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Affiliation(s)
| | - Biljana Gigic
- Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Anita R. Peoples
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- Department of Population Health Sciences, University of Utah, UT 84103 USA
| | - Claire J. Han
- University of Washington, School of Nursing, Seattle, WA 98195, USA
| | - Tengda Lin
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- Department of Population Health Sciences, University of Utah, UT 84103 USA
| | - Caroline Himbert
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- Department of Population Health Sciences, University of Utah, UT 84103 USA
| | | | - Juergen Boehm
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
| | - Sheetal Hardikar
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- Department of Population Health Sciences, University of Utah, UT 84103 USA
| | | | - Martin Schneider
- Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Alexis Ulrich
- Klinik für Allgemein-, Viszeral-, Thorax- und Gefäßchirurgie, Städtische Kliniken Neuss, 84, 41464 Neuss, Germany
| | - Petra Schrotz-King
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
| | - Jane C. Figueiredo
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Christopher I. Li
- Clinical Research and Public Health Sciences Divisions, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - David Shibata
- Department of Surgery, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Erin M. Siegel
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, 33612 FL, USA
| | - Adetunji T. Toriola
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
- Siteman Cancer Center, St. Louis, MO 63110, USA
| | - Cornelia M. Ulrich
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- Department of Population Health Sciences, University of Utah, UT 84103 USA
| | - Karen L. Syrjala
- Clinical Research and Public Health Sciences Divisions, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Jennifer Ose
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- Department of Population Health Sciences, University of Utah, UT 84103 USA
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30
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Carreras-Torres R, Kim AE, Lin Y, Diez-Obrero V, Bien SA, Qu C, Wang J, Dimou N, Aglago EK, Albanes D, Arndt V, Baurley JW, Berndt SI, Bézieau S, Bishop DT, Bouras E, Brenner H, Budiarto A, Campbell PT, Casey G, Chan AT, Chang-Claude J, Chen X, Conti DV, Dampier CH, Devall MAM, Drew DA, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gsur A, Gunter MJ, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl KM, Kawaguchi E, Keku TO, Kundaje A, Le Marchand L, Lewinger JP, Li L, Mahesworo B, Morrison JL, Murphy N, Nan H, Nassir R, Newcomb PA, Obón-Santacana M, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Pharoah PDP, Platz EA, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Shcherbina A, Slattery ML, Stern MC, Su YR, Tangen CM, Thomas DC, Tian Y, Tsilidis KK, Ulrich CM, van Duijnhoven FJB, Van Guelpen B, Visvanathan K, Vodicka P, Cenggoro TW, Weinstein SJ, White E, Wolk A, Woods MO, Hsu L, Peters U, Moreno V, Gauderman WJ. Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response. Cancer Epidemiol Biomarkers Prev 2023; 32:315-328. [PMID: 36576985 PMCID: PMC9992283 DOI: 10.1158/1055-9965.epi-22-0763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/19/2022] [Accepted: 12/19/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Tobacco smoking is an established risk factor for colorectal cancer. However, genetically defined population subgroups may have increased susceptibility to smoking-related effects on colorectal cancer. METHODS A genome-wide interaction scan was performed including 33,756 colorectal cancer cases and 44,346 controls from three genetic consortia. RESULTS Evidence of an interaction was observed between smoking status (ever vs. never smokers) and a locus on 3p12.1 (rs9880919, P = 4.58 × 10-8), with higher associated risk in subjects carrying the GG genotype [OR, 1.25; 95% confidence interval (CI), 1.20-1.30] compared with the other genotypes (OR <1.17 for GA and AA). Among ever smokers, we observed interactions between smoking intensity (increase in 10 cigarettes smoked per day) and two loci on 6p21.33 (rs4151657, P = 1.72 × 10-8) and 8q24.23 (rs7005722, P = 2.88 × 10-8). Subjects carrying the rs4151657 TT genotype showed higher risk (OR, 1.12; 95% CI, 1.09-1.16) compared with the other genotypes (OR <1.06 for TC and CC). Similarly, higher risk was observed among subjects carrying the rs7005722 AA genotype (OR, 1.17; 95% CI, 1.07-1.28) compared with the other genotypes (OR <1.13 for AC and CC). Functional annotation revealed that SNPs in 3p12.1 and 6p21.33 loci were located in regulatory regions, and were associated with expression levels of nearby genes. Genetic models predicting gene expression revealed that smoking parameters were associated with lower colorectal cancer risk with higher expression levels of CADM2 (3p12.1) and ATF6B (6p21.33). CONCLUSIONS Our study identified novel genetic loci that may modulate the risk for colorectal cancer of smoking status and intensity, linked to tumor suppression and immune response. IMPACT These findings can guide potential prevention treatments.
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Affiliation(s)
- Robert Carreras-Torres
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), Salt, 17190, Girona, Spain
| | - Andre E Kim
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Virginia Diez-Obrero
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Jun Wang
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Elom K Aglago
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - James W Baurley
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Arif Budiarto
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
| | - Graham Casey
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Xuechen Chen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David V Conti
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Christopher H Dampier
- Department of General Surgery, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Matthew AM Devall
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - David A Drew
- Clinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Akihisa Hidaka
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Kristina M Jordahl
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Eric Kawaguchi
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Anshul Kundaje
- Department of Genetics, Department of Computer Science, Stanford University, Stanford, California, USA
| | | | - Juan Pablo Lewinger
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Bharuno Mahesworo
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - John L Morrison
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Hongmei Nan
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
| | - Rami Nassir
- Department of Pathology, School of Medicine, Umm Al-Qura’a University, Saudi Arabia
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Mireia Obón-Santacana
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Shuji Ogino
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Jennifer Ose
- Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, Arizona, USA
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Nikos Papadimitriou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Bens Pardamean
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | | | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Edward Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Peter C Scacheri
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Anna Shcherbina
- Biomedical Informatics Program, Dept. of Biomedical Data Sciences, Stanford University
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Mariana C Stern
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Duncan C Thomas
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Yu Tian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- School of Public Health, Capital Medical University, Beijing, China
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Franzel JB van Duijnhoven
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, and Biomedical Center, Medical Faculty, Pilsen, Czech Republic
| | - Tjeng Wawan Cenggoro
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Canada
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- School of Public Health, University of Washington, Seattle, Washington, USA
| | - Victor Moreno
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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Thomas M, Su YR, Rosenthal EA, Sakoda LC, Schmit SL, Timofeeva MN, Chen Z, Fernandez-Rozadilla C, Law PJ, Murphy N, Carreras-Torres R, Diez-Obrero V, van Duijnhoven FJ, Jiang S, Shin A, Wolk A, Phipps AI, Burnett-Hartman A, Gsur A, Chan AT, Zauber AG, Wu AH, Lindblom A, Um CY, Tangen CM, Gignoux C, Newton C, Haiman CA, Qu C, Bishop DT, Buchanan DD, Crosslin DR, Conti DV, Kim DH, Hauser E, White E, Siegel E, Schumacher FR, Rennert G, Giles GG, Hampel H, Brenner H, Oze I, Oh JH, Lee JK, Schneider JL, Chang-Claude J, Kim J, Huyghe JR, Zheng J, Hampe J, Greenson J, Hopper JL, Palmer JR, Visvanathan K, Matsuo K, Matsuda K, Jung KJ, Li L, Marchand LL, Vodickova L, Bujanda L, Gunter MJ, Matejcic M, Jenkins MA, Slattery ML, D'Amato M, Wang M, Hoffmeister M, Woods MO, Kim M, Song M, Iwasaki M, Du M, Udaltsova N, Sawada N, Vodicka P, Campbell PT, Newcomb PA, Cai Q, Pearlman R, Pai RK, Schoen RE, Steinfelder RS, Haile RW, Vandenputtelaar R, Prentice RL, Küry S, Castellví-Bel S, Tsugane S, Berndt SI, Lee SC, Brezina S, Weinstein SJ, Chanock SJ, Jee SH, Kweon SS, Vadaparampil S, Harrison TA, Yamaji T, Keku TO, Vymetalkova V, Arndt V, Jia WH, Shu XO, Lin Y, Ahn YO, Stadler ZK, Van Guelpen B, Ulrich CM, Platz EA, Potter JD, Li CI, Meester R, Moreno V, Figueiredo JC, Casey G, Vogelaar IL, Dunlop MG, Gruber SB, Hayes RB, Pharoah PDP, Houlston RS, Jarvik GP, Tomlinson IP, Zheng W, Corley DA, Peters U, Hsu L. Combining Asian-European Genome-Wide Association Studies of Colorectal Cancer Improves Risk Prediction Across Race and Ethnicity. medRxiv 2023:2023.01.19.23284737. [PMID: 36789420 PMCID: PMC9928144 DOI: 10.1101/2023.01.19.23284737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expanded PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS were 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1,681-3,651 cases and 8,696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They were significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values<0.05). Further inclusion of non-European ancestry populations, especially Black/African American and Latinx/Hispanic, is needed to improve the risk prediction and enhance equity in applying PRS in clinical practice.
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Papadimitriou N, Bull CJ, Jenab M, Hughes DJ, Bell JA, Sanderson E, Timpson NJ, Smith GD, Albanes D, Campbell PT, Küry S, Le Marchand L, Ulrich CM, Visvanathan K, Figueiredo JC, Newcomb PA, Pai RK, Peters U, Tsilidis KK, Boer JMA, Vincent EE, Mariosa D, Gunter MJ, Richardson TG, Murphy N. Separating the effects of early and later life adiposity on colorectal cancer risk: a Mendelian randomization study. BMC Med 2023; 21:5. [PMID: 36600297 PMCID: PMC9814460 DOI: 10.1186/s12916-022-02702-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 12/09/2022] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Observational studies have linked childhood obesity with elevated risk of colorectal cancer; however, it is unclear if this association is causal or independent from the effects of obesity in adulthood on colorectal cancer risk. METHODS We conducted Mendelian randomization (MR) analyses to investigate potential causal relationships between self-perceived body size (thinner, plumper, or about average) in early life (age 10) and measured body mass index in adulthood (mean age 56.5) with risk of colorectal cancer. The total and independent effects of body size exposures were estimated using univariable and multivariable MR, respectively. Summary data were obtained from a genome-wide association study of 453,169 participants in UK Biobank for body size and from a genome-wide association study meta-analysis of three colorectal cancer consortia of 125,478 participants. RESULTS Genetically predicted early life body size was estimated to increase odds of colorectal cancer (odds ratio [OR] per category change: 1.12, 95% confidence interval [CI]: 0.98-1.27), with stronger results for colon cancer (OR: 1.16, 95% CI: 1.00-1.35), and distal colon cancer (OR: 1.25, 95% CI: 1.04-1.51). After accounting for adult body size using multivariable MR, effect estimates for early life body size were attenuated towards the null for colorectal cancer (OR: 0.97, 95% CI: 0.77-1.22) and colon cancer (OR: 0.97, 95% CI: 0.76-1.25), while the estimate for distal colon cancer was of similar magnitude but more imprecise (OR: 1.27, 95% CI: 0.90-1.77). Genetically predicted adult life body size was estimated to increase odds of colorectal (OR: 1.27, 95% CI: 1.03, 1.57), colon (OR: 1.32, 95% CI: 1.05, 1.67), and proximal colon (OR: 1.57, 95% CI: 1.21, 2.05). CONCLUSIONS Our findings suggest that the positive association between early life body size and colorectal cancer risk is likely due to large body size retainment into adulthood.
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Affiliation(s)
- Nikos Papadimitriou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
| | - Caroline J Bull
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- School of Translational Health Sciences, University of Bristol, Bristol, UK
| | - Mazda Jenab
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - David J Hughes
- Cancer Biology and Therapeutics Group, UCD Conway Institute, School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Joshua A Bell
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Eleanor Sanderson
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Behavioural and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Sébastien Küry
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | | | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Kostas K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Jolanda M A Boer
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Emma E Vincent
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- School of Translational Health Sciences, University of Bristol, Bristol, UK
| | - Daniela Mariosa
- Section of Genomic Epidemiology, International Agency for Research on Cancer, 150 Cours Albert Thomas, 69008, Lyon, France
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Tom G Richardson
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
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Himbert C, Stephens WZ, Gigic B, Lin T, Ose J, Ashworth A, Warby C, Nix D, Jedrzkiewicz J, Peoples AR, Bronner M, Pickron B, Scaife C, Cohan JN, Grady WM, Cohen SA, Krane M, Schrotz-King P, Figueiredo JC, Toriola AT, Siegel EM, Li CI, Ulrich A, Shibata D, Round JL, Huang LC, Schneider M, Hardikar S, Ulrich CM. Abstract P010: Molecular mediators of the energy balance-colorectal cancer link: evaluating the gut microbiome and pro-inflammatory biomarkers. Cancer Prev Res (Phila) 2023. [DOI: 10.1158/1940-6215.precprev22-p010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Abstract
Background: Physical activity and BMI are convincingly associated with colorectal cancer risk, yet the underlying molecular mediators and their interplay in the energy balance-cancer link remain unclear. Possible counteracting effects of physical activity on obesity-induced metabolic changes, including systemic inflammation and changes in the gut microbiome, have yet to be studied. Here, we investigated associations of several combinations of physical activity and BMI with pro-inflammatory biomarkers and the gut microbiome and relationships between these two mediators among patients with colorectal cancer. Methods: N=579 patients with newly diagnosed colorectal cancer (stages I-IV) were included. Physical activity at baseline was assessed using an adapted International Physical Activity Questionnaire (IPAQ) and participants were classified as being ‘active’ or ‘inactive’ based on physical activity guidelines. BMI at baseline was abstracted from medical records and categorized into ‘normal weight’ and ‘overweight/obese’. Pro-inflammatory biomarkers (CRP, SAA, IL-6, IL-8, and TNF-α) were measured in pre-surgery serum samples. In a subset of patients (n=179), 16S rRNA gene sequencing was additionally performed in pre-surgery stool samples. Relative abundances were determined for each taxonomic level and used to calculate diversity metrics. Analyses were adjusted for sex, stage at diagnosis, neoadjuvant treatment, and study site. Results: ‘Obese’ patients had 88% and 17% higher CRP and TNF-α levels compared to ‘normal weight’ patients (p=0.03 and 0.02, respectively). Highest CRP levels were observed among ‘overweight or obese/inactive’ compared to ‘normal weight/active’ patients (p=0.03). Lower gut microbial diversity was observed among ‘inactive’ vs. ‘active’ patients (Shannon index: p=0.01, Simpson: p=0.03), ‘obese’ vs. ‘normal weight’ patients (Shannon index, Simpson, and Observed species: p=0.02, respectively), and ‘overweight or obese/inactive’ vs. ‘normal weight/active’ patients (Shannon index: p=0.02, Observed species: p=0.04). Two phyla and 12 genera (e.g., Actinobacteria and Fusobacteria, and Ruminococcus, Succinivibrio, Succiniclasticum) were differentially abundant across physical activity and BMI groups. High CRP and TNF-α levels were statistically significantly associated with lower alpha diversity metrics (p=0.02-0.05). Conclusions: This is the first evidence indicating that the gut microbiome may be a molecular mediator of the energy balance-colorectal cancer link. We further provide evidence of associations between physical activity and BMI groups with pro-inflammatory biomarkers. While BMI was identified as the key driver of inflammation, biomarker levels were higher among ‘inactive’ patients across BMI groups. Physical activity may offset obesity-induced inflammation and gut microbiome dysbiosis. Our results further provide new insights into the host-microbiome interactions with respect to systemic inflammation.
Citation Format: Caroline Himbert, W. Zac Stephens, Biljana Gigic, Tengda Lin, Jennifer Ose, Anjelica Ashworth, Christy Warby, David Nix, Jolanta Jedrzkiewicz, Anita R Peoples, Mary Bronner, Bartley Pickron, Courtney Scaife, Jessica N. Cohan, William M. Grady, Stacey A. Cohen, Mukta Krane, Petra Schrotz-King, Jane C. Figueiredo, Adetunji T. Toriola, Erin M. Siegel, Christopher I. Li, Alexis Ulrich, David Shibata, June L. Round, Lyen C. Huang, Martin Schneider, Sheetal Hardikar, Cornelia M Ulrich. Molecular mediators of the energy balance-colorectal cancer link: evaluating the gut microbiome and pro-inflammatory biomarkers. [abstract]. In: Proceedings of the AACR Special Conference: Precision Prevention, Early Detection, and Interception of Cancer; 2022 Nov 17-19; Austin, TX. Philadelphia (PA): AACR; Can Prev Res 2023;16(1 Suppl): Abstract nr P010.
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Affiliation(s)
| | | | - Biljana Gigic
- 3University Hospital Heidelberg, Heidelberg, Germany,
| | - Tengda Lin
- 1Huntsman Cancer Institute, Salt Lake City, UT,
| | | | | | | | - David Nix
- 1Huntsman Cancer Institute, Salt Lake City, UT,
| | | | | | | | | | | | | | | | | | | | | | | | | | - Erin M. Siegel
- 9H. Lee Moffitt Cancer Center & Research Institute, Tampa,
| | | | - Alexis Ulrich
- 10Rheinland Klinikum Neuss Lukaskrankenhaus, Neuss, Germany,
| | - David Shibata
- 11University of Tennessee Health Sciences Center, Memphis,
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Hathaway CA, Siegel EM, Gonzalez BD, Oswald LB, Peoples AR, Ulrich CM, Penedo FJ, Tworoger SS, Islam JY. Individual-level factors associated with COVID-19 vaccine acceptance among U.S. patients with cancer. Vaccine 2022; 40:6649-6657. [PMID: 36210253 PMCID: PMC9515327 DOI: 10.1016/j.vaccine.2022.09.063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 01/27/2023]
Abstract
INTRODUCTION Vaccine hesitancy in the wake of the COVID-19 pandemic is a major public health concern in the US. Cancer patients are especially vulnerable to adverse COVID-19 outcomes and require targeted prevention efforts against COVID-19. METHODS We used longitudinal survey data from patients seen at Moffitt Cancer Center to identify attitudes, beliefs, and sociodemographic factors associated with COVID-19 vaccination acceptance among cancer patients. Patients with confirmed invasive cancer diagnosis through Cancer Registry data were asked about vaccine acceptance through the question "Now that a COVID-19 vaccine is available, are you likely to get it?" and dichotomized into high accepters (already received it, would get it when available) and low accepters (waiting for a doctor to recommend it, waiting until more people received it, not likely to get it). RESULTS Most patients (86.8% of 5,814) were high accepters of the COVID-19 vaccine. High accepters had more confidence in the effectiveness and safety of the vaccine than low accepters. Multivariable logistic regression showed older individuals (70-89 vs.18-49: OR:2.57, 95% CI:1.33-4.86), those with greater perceived severity of COVID-19 infection (very serious vs. not at all serious: OR:2.55, 95% CI:1.76-3.70), practicing more risk mitigation behaviors (per one standard deviation OR:1.75, 95% CI:1.57-1.95), and history of receiving the flu shot versus not (OR:6.56, 95% CI:5.25-8.20) had higher odds of vaccine acceptance. Individuals living with more than one other person (vs. alone: OR: 0.53, 95% CI: 0.35, 0.79) and those who were more socioeconomically disadvantaged (per 10 percentile points: OR: 0.89, 95 %CI: 0.85, 0.93) had lower odds of reporting vaccine acceptance. CONCLUSION Most patients with cancer have or would receive the COVID-19 vaccine. Those who are less likely to accept the vaccine have more concerns regarding effectiveness and side effects, are younger, more socioeconomically disadvantaged, and have lower perceptions of COVID-19 severity.
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Affiliation(s)
| | - Erin M Siegel
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Brian D Gonzalez
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Laura B Oswald
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Anita R Peoples
- Huntsman Cancer Institute, Salt Lake City, UT, USA; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, UT, USA; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Frank J Penedo
- Departments of Psychology and Medicine, University of Miami, Coral Gables, FL, USA
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Jessica Y Islam
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA.
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35
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Himbert C, Stephens WZ, Gigic B, Hardikar S, Holowatyj AN, Lin T, Ose J, Swanson E, Ashworth A, Warby CA, Peoples AR, Nix D, Jedrzkiewicz J, Bronner M, Pickron B, Scaife C, Cohan JN, Schrotz-King P, Habermann N, Boehm J, Hullar M, Figueiredo JC, Toriola AT, Siegel EM, Li CI, Ulrich AB, Shibata D, Boucher K, Huang LC, Schneider M, Round JL, Ulrich CM. Differences in the gut microbiome by physical activity and BMI among colorectal cancer patients. Am J Cancer Res 2022; 12:4789-4801. [PMID: 36381318 PMCID: PMC9641409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 09/23/2022] [Indexed: 02/22/2023] Open
Abstract
Associations of energy balance components, including physical activity and obesity, with colorectal cancer risk and mortality are well established. However, the gut microbiome has not been investigated as underlying mechanism. We investigated associations of physical activity, BMI, and combinations of physical activity/BMI with gut microbiome diversity and differential abundances among colorectal cancer patients. N=179 patients with colorectal cancer (stages I-IV) were included in the study. Pre-surgery stool samples were used to perform 16S rRNA gene sequencing (Illumina). Physical activity (MET hrs/wk) during the year before diagnosis was assessed by questionnaire and participants were classified as being active vs. inactive based on guidelines. BMI at baseline was abstracted from medical records. Patients were classified into four combinations of physical activity levels/BMI. Lower gut microbial diversity was observed among 'inactive' vs. 'active' patients (Shannon: P=0.01, Simpson: P=0.03), 'obese' vs. 'normal weight' patients (Shannon, Simpson, and Observed species: P=0.02, respectively), and 'overweight/obese/inactive' vs. 'normal weight/active' patients (Shannon: P=0.02, Observed species: P=0.04). Results differed by sex and tumor site. Two phyla and 12 genera (Actinobacteria and Fusobacteria, Adlercreutzia, Anaerococcus, Clostridium, Eubacterium, Mogibacteriaceae, Olsenella, Peptinophilus, Pyramidobacter, RFN20, Ruminococcus, Succinivibrio, Succiniclasticum) were differentially abundant across physical activity and BMI groups. This is the first evidence for associations of physical activity with gut microbiome diversity and abundances, directly among colorectal cancer patients. Our results indicate that physical activity may offset gut microbiome dysbiosis due to obesity. Alterations in gut microbiota may contribute mechanistically to the energy balance-colorectal cancer link and impact clinical outcomes.
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Affiliation(s)
- Caroline Himbert
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
| | | | | | - Sheetal Hardikar
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
| | - Andreana N Holowatyj
- University of UtahSalt Lake City, UT, USA
- Vanderbilt University Medical CenterNashville, TN, USA
| | - Tengda Lin
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
| | - Jennifer Ose
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
| | | | | | | | - Anita R Peoples
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
| | - David Nix
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
| | - Jolanta Jedrzkiewicz
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
| | - Mary Bronner
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
| | - Bartley Pickron
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
| | - Courtney Scaife
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
| | - Jessica N Cohan
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
| | - Petra Schrotz-King
- National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ)Germany
| | | | | | | | | | | | - Erin M Siegel
- H. Lee Moffitt Cancer Center & Research InstituteTampa, FL, USA
| | | | | | - David Shibata
- University of Tennessee Health Science CenterMemphis, TN, USA
| | - Kenneth Boucher
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
| | - Lyen C Huang
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
| | | | | | - Cornelia M Ulrich
- University of UtahSalt Lake City, UT, USA
- Huntsman Cancer InstituteSalt Lake City, UT, USA
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36
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Stoll S, Sowah SA, Fink MA, Nonnenmacher T, Graf ME, Johnson T, Schlett CL, von Stackelberg O, Kirsten R, Bamberg F, Keller J, Ulrich CM, Kaaks R, Kauczor HU, Rengier F, Kühn T, Nattenmüller J. Changes in aortic diameter induced by weight loss: The HELENA trial- whole-body MR imaging in a dietary intervention trial. Front Physiol 2022; 13:976949. [PMID: 36203934 PMCID: PMC9531129 DOI: 10.3389/fphys.2022.976949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 09/02/2022] [Indexed: 11/17/2022] Open
Abstract
Obesity-related metabolic disorders such as hypertension, hyperlipidemia and chronic inflammation have been associated with aortic dilatation and resulting in aortic aneurysms in many cases. Whether weight loss may reduce the risk of aortic dilatation is not clear. In this study, the diameter of the descending thoracic aorta, infrarenal abdominal aorta and aortic bifurcation of 144 overweight or obese non-smoking adults were measured by MR-imaging, at baseline, and 12 and 50 weeks after weight loss by calorie restriction. Changes in aortic diameter, anthropometric measures and body composition and metabolic markers were evaluated using linear mixed models. The association of the aortic diameters with the aforementioned clinical parameters was analyzed using Spearman`s correlation. Weight loss was associated with a reduction in the thoracic and abdominal aortic diameters 12 weeks after weight loss (predicted relative differences for Quartile 4: 2.5% ± 0.5 and -2.2% ± 0.8, p < 0.031; respectively). Furthermore, there was a nominal reduction in aortic diameters during the 50-weeks follow-up period. Aortic diameters were positively associated with weight, visceral adipose tissue, glucose, HbA1c and with both systolic and diastolic blood pressure. Weight loss induced by calorie restriction may reduce aortic diameters. Future studies are needed to investigate, whether the reduction of aortic diameters via calorie restriction may help to prevent aortic aneurysms.
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Affiliation(s)
- Sibylle Stoll
- Heidelberg University Hospital, Diagnostic and Interventional Radiology, Heidelberg, Germany
| | - Solomon A. Sowah
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Matthias A. Fink
- Heidelberg University Hospital, Diagnostic and Interventional Radiology, Heidelberg, Germany
| | - Tobias Nonnenmacher
- Heidelberg University Hospital, Diagnostic and Interventional Radiology, Heidelberg, Germany
| | - Mirja E. Graf
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Theron Johnson
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Christopher L. Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center - Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | | | - Romy Kirsten
- National Center for Tumor Diseases (NCT), Liquid Biobank, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center - Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | | | - Cornelia M. Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States
| | - Rudolf Kaaks
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Hans-Ulrich Kauczor
- Heidelberg University Hospital, Diagnostic and Interventional Radiology, Heidelberg, Germany
| | - Fabian Rengier
- Heidelberg University Hospital, Diagnostic and Interventional Radiology, Heidelberg, Germany
| | - Tilman Kühn
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Johanna Nattenmüller
- Heidelberg University Hospital, Diagnostic and Interventional Radiology, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology, Medical Center - Faculty of Medicine, University of Freiburg, Freiburg, Germany
- *Correspondence: Johanna Nattenmüller,
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37
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Himbert C, Warby CA, Gigic B, Ose J, Lin T, Viskochil R, Peoples AR, Ashworth A, Schrotz-King P, Scaife CL, Cohan JN, Jedrzkiewicz J, Schirmacher P, Grady WM, Cohen SA, Krane M, Figueiredo JC, Toriola AT, Siegel EM, Shibata D, Round JL, Huang LC, Li CI, Schneider M, Ulrich A, Hardikar S, Ulrich CM. Associations of individual and combined physical activity and body mass index groups with pro-inflammatory biomarkers among colorectal cancer patients. Cancer Epidemiol Biomarkers Prev 2022; 31:2148-2156. [PMID: 36099423 DOI: 10.1158/1055-9965.epi-22-0681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 08/02/2022] [Accepted: 09/08/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Physical activity and obesity are well-established factors of colorectal cancer (CRC) risk and prognosis. Here, we investigate associations of individual and combined physical activity and BMI groups with pro-inflammatory biomarkers in CRC patients. METHODS Self-reported physical activity levels were classified as 'active' (≥8.75 MET-hrs/wk) vs. 'inactive' (<8.75 MET-hrs/wk) in n=579 stage I-IV CRC patients enrolled in the ColoCare Study. BMI [normal weight (≥18.5-<25kg/m2), overweight (≥25-<30kg/m2), and obese (≥30kg/m2)] was abstracted from medical records. Patients were classified into four combinations of physical activity levels and BMI. Biomarkers (CRP, SAA, IL-6, IL-8, and TNF-α) in pre-surgery serum samples were measured using Meso-Scale-Discovery platform. Regression models were used to compute relative percent differences in biomarker levels by physical activity and BMI groups. RESULTS 'Inactive' patients had non-statistically significant higher IL-6 levels compared to 'active' patients (+36%, p=0.10). 'Obese' patients had 88% and 17% higher CRP and TNF-α levels compared to 'normal weight' patients (p=0.03 and 0.02, respectively). Highest CRP levels were observed among 'overweight or obese/inactive' compared to 'normal weight/active' patients (p=0.03). CONCLUSION We provide evidence of associations between individual and combined physical activity and BMI groups with pro-inflammatory biomarkers. While BMI was identified as the key driver of inflammation, biomarker levels were higher among 'inactive' patients across BMI groups. IMPACT This is the largest study in CRC patients investigating associations of energy balance components with inflammatory biomarkers. Our results suggest that physical activity may reduce obesity-induced inflammation in CRC patients and support the design of randomized controlled trials testing this hypothesis.
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Affiliation(s)
| | - Christy A Warby
- Huntsman Cancer Institute, Salt Lake City, Utah, United States
| | | | - Jennifer Ose
- University of Utah, Salt Lake City, Utah, United States
| | - Tengda Lin
- Huntsman Cancer Institute, United States
| | | | - Anita R Peoples
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, United States
| | | | | | | | | | | | | | - William M Grady
- Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | | | - Mukta Krane
- Fred Hutchinson/University of Washington Cancer Consortium, United States
| | - Jane C Figueiredo
- Cedars-Sinai Medical Center Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, United States
| | - Adetunji T Toriola
- Washington University in St. Louis School of Medicine, St. Louis, MO, United States
| | - Erin M Siegel
- H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States
| | - David Shibata
- University of Tennessee Health Science Center, Memphis, United States
| | | | - Lyen C Huang
- University of Utah Hospital, Salt Lake City, UT, United States
| | - Christopher I Li
- Fred Hutchinson Cancer Research Center, Seattle, WA, United States
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38
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Tian Y, Kim AE, Bien SA, Lin Y, Qu C, Harrison TA, Carreras-Torres R, Díez-Obrero V, Dimou N, Drew DA, Hidaka A, Huyghe JR, Jordahl KM, Morrison J, Murphy N, Obón-Santacana M, Ulrich CM, Ose J, Peoples AR, Ruiz-Narvaez EA, Shcherbina A, Stern MC, Su YR, van Duijnhoven FJB, Arndt V, Baurley JW, Berndt SI, Bishop DT, Brenner H, Buchanan DD, Chan AT, Figueiredo JC, Gallinger S, Gruber SB, Harlid S, Hoffmeister M, Jenkins MA, Joshi AD, Keku TO, Larsson SC, Le Marchand L, Li L, Giles GG, Milne RL, Nan H, Nassir R, Ogino S, Budiarto A, Platz EA, Potter JD, Prentice RL, Rennert G, Sakoda LC, Schoen RE, Slattery ML, Thibodeau SN, Van Guelpen B, Visvanathan K, White E, Wolk A, Woods MO, Wu AH, Campbell PT, Casey G, Conti DV, Gunter MJ, Kundaje A, Lewinger JP, Moreno V, Newcomb PA, Pardamean B, Thomas DC, Tsilidis KK, Peters U, Gauderman WJ, Hsu L, Chang-Claude J. Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk. J Natl Cancer Inst 2022; 114:1135-1148. [PMID: 35512400 PMCID: PMC9360460 DOI: 10.1093/jnci/djac094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 02/17/2022] [Accepted: 04/26/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND The use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk. METHODS We conducted a genome-wide, gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen only, and combined estrogen-progestogen therapy with CRC risk, among 28 486 postmenopausal women (11 519 CRC patients and 16 967 participants without CRC) from 38 studies, using logistic regression, 2-step method, and 2- or 3-degree-of-freedom joint test. A set-based score test was applied for rare genetic variants. RESULTS The use of any MHT, estrogen only and estrogen-progestogen were associated with a reduced CRC risk (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.64 to 0.78; OR = 0.65, 95% CI = 0.53 to 0.79; and OR = 0.73, 95% CI = 0.59 to 0.90, respectively). The 2-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was statistically significantly reduced in women with the GG genotype (OR = 0.68, 95% CI = 0.64 to 0.72) but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2-degree-of-freedom joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing odds ratios of 0.78 (95% CI = 0.70 to 0.87) for TT, 0.68 (95% CI = 0.63 to 0.73) for TC, and 0.66 (95% CI = 0.60 to 0.74) for CC genotypes. In addition, 5 genes in rare variant analysis showed suggestive interactions with MHT (2-sided P < 1.2 × 10-4). CONCLUSION Genetic variants that modify the association between MHT and CRC risk were identified, offering new insights into pathways of CRC carcinogenesis and potential mechanisms involved.
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Affiliation(s)
- Yu Tian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- School of Public Health, Capital Medical University, Beijing, China
| | - Andre E Kim
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Robert Carreras-Torres
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L’Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Virginia Díez-Obrero
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L’Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - David A Drew
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Akihisa Hidaka
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Kristina M Jordahl
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - John Morrison
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Mireia Obón-Santacana
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L’Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Jennifer Ose
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Anita R Peoples
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Edward A Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Anna Shcherbina
- Biomedical Informatics Program, Department of Biomedical Data Sciences, Stanford University, Stanford, CA, USA
| | - Mariana C Stern
- Division of Biostatistics, Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - James W Baurley
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
- BioRealm LLC, Walnut, CA, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Stephen B Gruber
- Division of Biostatistics, Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Amit D Joshi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | | | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Hongmei Nan
- Department of Global Health, Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
| | - Rami Nassir
- Department of Pathology, School of Medicine, Umm Al-Qura’a University, Mecca, Saudi Arabia
| | - Shuji Ogino
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Arif Budiarto
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Ross L Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John’s, NL,Canada
| | - Anna H Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Peter T Campbell
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - David V Conti
- Division of Biostatistics, Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Juan Pablo Lewinger
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Victor Moreno
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L’Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Bens Pardamean
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Duncan C Thomas
- Division of Biostatistics, Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Cancer Centre Hamburg (UCCH), University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
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Ose J, Gigic B, Hardikar S, Lin T, Himbert C, Warby CA, Peoples AR, Lindley CL, Boehm J, Schrotz-King P, Figueiredo JC, Toriola AT, Siegel EM, Li CI, Ulrich A, Schneider M, Shibata D, Ulrich CM. Presurgery Adhesion Molecules and Angiogenesis Biomarkers Are Differently Associated with Outcomes in Colon and Rectal Cancer: Results from the ColoCare Study. Cancer Epidemiol Biomarkers Prev 2022; 31:1650-1660. [PMID: 35667092 PMCID: PMC9509698 DOI: 10.1158/1055-9965.epi-22-0092] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 05/02/2022] [Accepted: 06/03/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Cell-to-cell adhesion and angiogenesis are hallmarks of cancer. No studies have examined associations of adhesion molecules and angiogenesis biomarkers with clinical outcomes in colorectal cancer. METHODS In presurgery serum from n = 426 patients with colorectal cancer (stage I-III), we investigated associations of CRP, SAA, adhesion molecules (sICAM-1, sVCAM-1), and angiogenesis markers (VEGF-A and VEGF-D) with overall survival (OS), disease-free survival (DFS), and risk of recurrence. We computed HRs and 95% confidence intervals; adjusted for age, sex, BMI, stage, site, and study site, stratified by tumor site in exploratory analyses. RESULTS N = 65 (15%) were deceased, and 39 patients (14%) had a recurrence after a median follow-up of 31 months. We observed significant associations of biomarkers with OS, DFS, and risk of recurrence on a continuous scale and comparing top to bottom tertile, with HRs ranging between 1.19 and 13.92. CRP was associated with risk of death and recurrence in patients in the top tertile compared with patients in the bottom tertile, for example, risk of recurrence HRQ3-Q1: 13.92 (1.72-112.56). Significant heterogeneity between biomarkers and clinical outcomes was observed in stratified analysis by tumor site for CRP, SAA, sICAM-1, sVCAM-1, and VEGF-D. VEGF-D was associated with a 3-fold increase in risk of death for rectal cancer (HRlog2: 3.26; 95% CI, 1.58-6.70) compared with no association for colon cancer (HRlog2: 0.78; 95% CI, 0.35-1.73; Pheterogenity = 0.01). CONCLUSIONS Adhesion molecules and angiogenesis biomarkers are independent prognostic markers for colorectal cancer, with differences by tumor site. IMPACT There is need for tailored treatment for colon and rectal cancer.
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Affiliation(s)
- Jennifer Ose
- University of Utah, Salt Lake City, UT
- Huntsman Cancer Institute, Salt Lake City, UT
| | | | - Sheetal Hardikar
- University of Utah, Salt Lake City, UT
- Huntsman Cancer Institute, Salt Lake City, UT
| | - Tengda Lin
- University of Utah, Salt Lake City, UT
- Huntsman Cancer Institute, Salt Lake City, UT
| | - Caroline Himbert
- University of Utah, Salt Lake City, UT
- Huntsman Cancer Institute, Salt Lake City, UT
| | | | - Anita R Peoples
- University of Utah, Salt Lake City, UT
- Huntsman Cancer Institute, Salt Lake City, UT
| | | | | | - Petra Schrotz-King
- Division of Preventive Oncology, National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | | | | | - Erin M Siegel
- H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | | | | | | | - David Shibata
- University of Tennessee Health Science Center, Memphis, TN
| | - Cornelia M Ulrich
- University of Utah, Salt Lake City, UT
- Huntsman Cancer Institute, Salt Lake City, UT
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Bowers LW, Glenny EM, Punjala A, Lanman NA, Goldbaum A, Himbert C, Montgomery SA, Yang P, Roper J, Ulrich CM, Dannenberg AJ, Coleman MF, Hursting SD. Weight Loss and/or Sulindac Mitigate Obesity-associated Transcriptome, Microbiome, and Protumor Effects in a Murine Model of Colon Cancer. Cancer Prev Res (Phila) 2022; 15:481-495. [PMID: 35653548 PMCID: PMC9357192 DOI: 10.1158/1940-6207.capr-21-0531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 04/05/2022] [Accepted: 05/23/2022] [Indexed: 02/03/2023]
Abstract
Obesity is associated with an increased risk of colon cancer. Our current study examines whether weight loss and/or treatment with the NSAID sulindac suppresses the protumor effects of obesity in a mouse model of colon cancer. Azoxymethane-treated male FVB/N mice were fed a low-fat diet (LFD) or high-fat diet (HFD) for 15 weeks, then HFD mice were randomized to remain on HFD (obese) or switch to LFD [formerly obese (FOb-LFD)]. Within the control (LFD), obese, and FOb-LFD groups, half the mice started sulindac treatment (140 ppm in the diet). All mice were euthanized 7 weeks later. FOb-LFD mice had intermediate body weight levels, lower than obese but higher than control (P < 0.05). Sulindac did not affect body weight. Obese mice had greater tumor multiplicity and burden than all other groups (P < 0.05). Transcriptomic profiling indicated that weight loss and sulindac each modulate the expression of tumor genes related to invasion and may promote a more antitumor immune landscape. Furthermore, the fecal microbes Coprobacillus, Prevotella, and Akkermansia muciniphila were positively correlated with tumor multiplicity and reduced by sulindac in obese mice. Coprobacillus abundance was also decreased in FOb-LFD mice. In sum, weight loss and sulindac treatment, alone and in combination, reversed the effects of chronic obesity on colon tumor multiplicity and burden. Our findings suggest that an investigation regarding the effects of NSAID treatment on colon cancer risk and/or progression in obese individuals is warranted, particularly for those unable to achieve moderate weight loss. PREVENTION RELEVANCE Obesity is a colon cancer risk and/or progression factor, but the underlying mechanisms are incompletely understood. Herein we demonstrate that obesity enhances murine colon carcinogenesis and expression of numerous tumoral procancer and immunosuppressive pathways. Moreover, we establish that weight loss via LFD and/or the NSAID sulindac mitigate procancer effects of obesity.
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Affiliation(s)
- Laura W. Bowers
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elaine M. Glenny
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Arunima Punjala
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nadia A. Lanman
- Center for Cancer Research, Purdue University, West Lafayette, IN, USA
- Department of Comparative Pathobiology, Purdue University, West Lafayette, IN, USA
| | - Audrey Goldbaum
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA
| | - Caroline Himbert
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Stephanie A. Montgomery
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Peiying Yang
- Department of Palliative, Rehabilitation, and Integrative Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jatin Roper
- Department of Medicine, Duke University, Durham, NC, USA
| | - Cornelia M. Ulrich
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Andrew J. Dannenberg
- Department of Medicine (retired), Weill Cornell Medical College, New York, NY, USA
| | - Michael F. Coleman
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stephen D. Hursting
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
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Himbert C, Hathaway CA, Daniels B, Salas K, Ashworth A, Gigic B, Lin T, Viskochil R, Kirchhoff AC, Grossman D, Ose J, Tward J, Scaife C, Figueiredo JC, Toriola AT, Beck A, Shibata D, Gonzalez BD, Matsen C, Christenson C, Ma DS, Colman H, Hunt JP, Jones KB, Lee CJ, Larson M, Onega T, Akerley WL, Li CI, Schneider M, Penedo FJ, Siegel EM, Tworoger SS, Ulrich CM, Peoples AR. Factors associated with changes in exercise behaviors during the COVID-19 pandemic. Cancer Causes Control 2022; 33:939-950. [PMID: 35554777 PMCID: PMC9096745 DOI: 10.1007/s10552-022-01580-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 03/28/2022] [Indexed: 11/02/2022]
Abstract
PURPOSE There is limited information on how the COVID-19 pandemic has changed health behaviors among cancer patients. We examined changes in exercise behaviors since the pandemic and identified characteristics associated with these changes among cancer patients. METHODS Cancer patients (n = 1,210) completed a survey from August to September 2020 to assess COVID-19 pandemic-related changes in health behaviors and psychosocial factors. Patients were categorized into three groups: exercising less, exercising did not change, and exercising more. Patient characteristics were compared by exercise groups. RESULTS One-third of the patients reported a decreased amount of regular exercise, while 10% reported exercising more during the pandemic. Patients who exercised less were more likely to be unemployed/retired and have poor health status and psychosocial stressors such as disruptions in daily life while less likely to be former smokers (all p < 0.05). In contrast, patients who exercised more were younger, had stage IV diagnosis, and also reported disruptions in daily life (all p < 0.05). Patients who were living in rural areas were also more likely not to experience changes in exercise habits (all p < 0.05), although rural-urban status was not identified as a strong predictor. CONCLUSION A significant proportion of cancer patients experienced changes in exercise habits, especially exercising less, during the first 6 months of the COVID-19 pandemic. Age, employment status, tumor stage, health status, smoking status, and psychosocial factors were associated with changes in exercise behaviors. Our results highlight the importance of promoting physical activity guidelines for cancer survivorship during the COVID-19 pandemic and may help improve the identification of cancer patients susceptible to exercising less.
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Affiliation(s)
- Caroline Himbert
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Cassandra A Hathaway
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | | | - Karen Salas
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | | | - Biljana Gigic
- Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Tengda Lin
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | | | - Anne C Kirchhoff
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Pediatrics, Division of Hematology/Oncology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Douglas Grossman
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Dermatology, University of Utah, Salt Lake City, UT, USA
| | - Jennifer Ose
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Jonathan Tward
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Radiation Oncology, University of Utah, Salt Lake City, UT, USA
| | - Courtney Scaife
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Surgery, University of Utah, Salt Lake City, UT, USA
| | - Jane C Figueiredo
- Department of Medicine, Cedars-Sinai Medical Center, Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
| | - Adetunji T Toriola
- Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Anna Beck
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - David Shibata
- University of Tennessee Health Science Center, Memphis, TN, USA
| | - Brian D Gonzalez
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Cindy Matsen
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Surgery, University of Utah, Salt Lake City, UT, USA
| | | | - Debra S Ma
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Howard Colman
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Neurosurgery, University of Utah, Salt Lake City, UT, USA
| | - Jason P Hunt
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Surgery, University of Utah, Salt Lake City, UT, USA
| | - Kevin B Jones
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Orthopedics, University of Utah, Salt Lake City, UT, USA
| | - Catherine J Lee
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | | | - Tracy Onega
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Wallace L Akerley
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | | | - Martin Schneider
- Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Frank J Penedo
- Sylvester Comprehensive Cancer Center, Miami, FL, USA
- Departments of Psychology and Medicine, University of Miami, Coral Gables, FL, USA
| | - Erin M Siegel
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, UT, USA.
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA.
| | - Anita R Peoples
- Huntsman Cancer Institute, Salt Lake City, UT, USA.
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA.
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Karra P, Winn M, Pauleck S, Bulsiewicz-Jacobsen A, Peterson L, Coletta A, Doherty J, Ulrich CM, Summers SA, Gunter M, Hardikar S, Playdon MC. Metabolic dysfunction and obesity-related cancer: Beyond obesity and metabolic syndrome. Obesity (Silver Spring) 2022; 30:1323-1334. [PMID: 35785479 PMCID: PMC9302704 DOI: 10.1002/oby.23444] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 02/24/2022] [Accepted: 03/09/2022] [Indexed: 01/26/2023]
Abstract
OBJECTIVES The metabolic dysfunction driven by obesity, including hyperglycemia and dyslipidemia, increases risk for developing at least 13 cancer types. The concept of "metabolic dysfunction" is often defined by meeting various combinations of criteria for metabolic syndrome. However, the lack of a unified definition of metabolic dysfunction makes it difficult to compare findings across studies. This review summarizes 129 studies that evaluated variable definitions of metabolic dysfunction in relation to obesity-related cancer risk and mortality after a cancer diagnosis. Strategies for metabolic dysfunction management are also discussed. METHODS A comprehensive search of relevant publications in MEDLINE (PubMed) and Google Scholar with review of references was conducted. RESULTS Metabolic dysfunction, defined as metabolic syndrome diagnosis or any number of metabolic syndrome criteria out of clinical range, inflammatory biomarkers, or markers of metabolic organ function, has been associated with risk for, and mortality from, colorectal, pancreatic, postmenopausal breast, and bladder cancers. Metabolic dysfunction associations with breast and colorectal cancer risk have been observed independently of BMI, with increased risk in individuals with metabolically unhealthy normal weight or overweight/obesity compared with metabolically healthy normal weight. CONCLUSION Metabolic dysfunction is a key risk factor for obesity-related cancer, regardless of obesity status. Nonetheless, a harmonized definition of metabolic dysfunction will further clarify the magnitude of the relationship across cancer types, enable better comparisons across studies, and further guide criteria for obesity-related cancer risk stratification.
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Affiliation(s)
- Prasoona Karra
- Department of Nutrition and Integrative Physiology, College of Health, University of Utah, Salt Lake City, Utah, USA
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Maci Winn
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Svenja Pauleck
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | | | - Lacie Peterson
- Department of Nutrition and Integrative Physiology, College of Health, University of Utah, Salt Lake City, Utah, USA
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Adriana Coletta
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Health and Kinesiology, University of Utah, Salt Lake City, Utah, USA
| | - Jennifer Doherty
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Cornelia M. Ulrich
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Scott A. Summers
- Department of Nutrition and Integrative Physiology, College of Health, University of Utah, Salt Lake City, Utah, USA
| | - Marc Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, United Kingdom
| | - Sheetal Hardikar
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Mary C. Playdon
- Department of Nutrition and Integrative Physiology, College of Health, University of Utah, Salt Lake City, Utah, USA
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, Salt Lake City, Utah, USA
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Hardikar S, Krick B, Benson R, Winn M, Winterton C, Newcomb PA, Inadomi JM, Ulrich CM. Type-2 Diabetes Mellitus and Risk of Colorectal Polyps: A Colonoscopy-Based Study Using Natural Language Processing. Cancer Epidemiol Biomarkers Prev 2022. [PMID: 35775213 DOI: 10.1158/1055-9965.epi-22-0481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
PURPOSE Although type-2 diabetes (T2D) has been associated with colorectal cancer in previous studies, the association of T2D with colorectal polyps is unknown. METHODS Using pathology reports from the University of Utah (UU) Enterprise Data Warehouse (EDW), we developed a rule-based natural language processing (NLP) pipeline to extract colorectal polyp diagnoses and features (site, shape, number, size) on 15,679 patients who underwent a colonoscopy at the UU Gastroenterology clinic from 2013-2016. The NLP pipeline was validated by manual abstraction of 350 pathology reports, and demonstrated excellent performance (accuracy 91%). Patient characteristics, including age, sex, race, diabetes status, smoking, BMI, and medication use, were abstracted from the EDW. Odds ratios (OR) and 95% confidence limits (95% CI) adjusted for abstracted variables were calculated using multivariable polytomous logistic regression. RESULTS Participants were on average 56 years old, 85% White, 50% male, with a mean BMI of 29 kg/m2. About 27% of the participants reported history of T2D; 71% of whom used anti-diabetes medication. Participants were classified as having adenomas (30%), serrated polyps (16%), synchronous adenomas and serrated polyps (19%) or as polyp-free controls (35%). T2D was associated with a statistically significant lower risk of colorectal polyps [0.83(0.73,0.92)]. When evaluated by polyp subtype, T2D was marginally associated with reduced adenoma risk [0.90(0.80,1.02)], and inversely associated with risk of serrated polyps [0.80(0.67,0.93)]. The associations did not vary by lesion severity within polyp subtypes. There was a statistically significant deceased risk for polyps among anti-diabetes medication users [0.84(0.69,0.99)]. CONCLUSIONS Overall, T2D was associated with a statistically significant reduced risk of colorectal polyps; this reduced risk was consistent for both adenomas and serrated polyps. As T2D has previously been shown to increase colorectal cancer risk, this differential association with colorectal polyps may possibly be due to a variable effect of anti-diabetes medication use. Further studies are needed to better understand the mechanisms through which diabetes and its treatment may be differentially associated with colorectal polyps.
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Hardikar S, Weil CR, Lloyd S, Cohan JN, Supiano MA, Ose J, Peoples AR, Gupta SV, Pelletier K, Extermann M, Siegel EM, Shibata D, Ulrich CM. Abstract 36: Treatment patterns in stage I-III colorectal cancer patients over 65 years of age. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-36] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Older patients (>65 years) are frequently under-represented in clinical trials that determine cancer treatment guidelines. We sought to characterize treatment patterns among older patients and identify factors for receipt of non-standard of care (SOC) treatment.
Methods: The National Cancer Database (NCDB) was queried to describe treatment patterns in stage I-III colorectal cancer patients (2004-2017) over 65 years of age. Patients with metastatic disease and non-adenocarcinoma histology were excluded. SOC therapy was defined as any recommended treatment option listed within site- and stage-specific National Comprehensive Cancer Network guidelines. Clinicodemographic characteristics and treatment patterns were compared between colon and rectal cancer patients by ten-year age-groups. Multivariable logistic regression analysis was used to determine factors associated with receipt of treatment, by tumor site and stage.
Results: Of the 498,285 patients who met inclusion criteria, 47% were 65-75 years while 15% were >85 years old (median age: 76 years). The majority were non-Hispanic White (88%), female (52%), Medicare insured (86%), colon cancer patients (76%) with a Charlson comorbidity index (CCI) of 0 (63%). Significant differences in treatment patterns by age were observed; for e.g., 11% of stage I colon cancer patients >85 years of age did not receive SOC surgical treatment but rather received radiation-only treatment compared to only 2% patients 65-75 years of age who received radiation-only treatment. In logistic regression analyses adjusted for diagnosis year, sex, race/ethnicity, CCI, insurance, income, education, hospital type, treatment facility, rurality, and geographic region, older patients were more likely to receive non-SOC treatments for colon cancer stage I [OR(95% CI) for 76-85 years 1.31(1.23,1.40); >85 years 3.41(3.17,3.66)], stage II-III [OR(95% CI) for 76-85 years 1.96(1.92,2.01); >85 years 3.50(3.40,3.60)], rectal cancer stage I [OR(95% CI) for 76-85 years 2.06(1.89,2.24); >85 years 6.36(5.77,7.02)], and stage II-III [OR(95% CI) for 76-85 years 2.14(2.07,2.22); >85 years 9.02(8.33,9.77)] compared to 65-75 year old patients. Other predictors of receiving non-SOC treatments for both colon and rectal cancers included Black race (p<0.001), CCI >3 (p<0.001), lack of insurance (p<0.001), and treatment at a community cancer clinic (p<0.001).
Discussion: Compared to 65-75 year-old stage I-III colorectal cancer patients, older patients at all disease stages are more likely to not receive SOC treatment. Other predictors for receiving non-SOC treatment are Black race, presence of comorbidities, lack of insurance, and treatment at a community cancer clinic. Future observational and randomized studies are needed to define the optimal treatment paradigms in older colorectal cancer patients, identify and address disparities, and better support these patients.
Citation Format: Sheetal Hardikar, Christopher R. Weil, Shane Lloyd, Jessica N. Cohan, Mark A. Supiano, Jennifer Ose, Anita R. Peoples, Sumati V. Gupta, Kaitlyn Pelletier, Martine Extermann, Erin M. Siegel, David Shibata, Cornelia M. Ulrich. Treatment patterns in stage I-III colorectal cancer patients over 65 years of age [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 36.
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Affiliation(s)
- Sheetal Hardikar
- 1Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | | | - Shane Lloyd
- 1Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Jessica N. Cohan
- 1Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | | | - Jennifer Ose
- 1Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Anita R. Peoples
- 1Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Sumati V. Gupta
- 1Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | | | | | - Erin M. Siegel
- 3H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - David Shibata
- 4University of Tennessee Health Science Center, Memphis, TN
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Ose J, Yap JT, Jeong D, Van ST, Covington MF, Gigic B, Nattenmueller J, Haaland B, Lin T, Hardikar S, Himbert C, Peoples AR, Ashworth A, Boehm J, Schrotz-King P, Figueiredo JC, Toriola AT, Siegel EM, Li CI, Ulrich AB, Schneider M, Kauczor HU, Shibata D, Ulrich CM. Abstract 3221: Differences in body composition among rectal cancer patients with neo-adjuvant treatment-related toxicity: Results from the ColoCare Study. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
BACKGROUND Neo-adjuvant chemoradiation is standard of care for patients diagnosed with stage II and III rectal cancer. This treatment can cause significant toxicities and may require treatment modifications. Obesity and low muscle mass (=sarcopenia) may portend increased toxicity to chemotherapy and/or radiation and may further affect mortality in rectal patients. The present study investigates associations of pre-treatment body composition parameters with toxicity in prospectively followed rectal cancer patients.
METHODS This initial analysis includes data from n=320 stage II and III rectal cancer patients from four study sites of the ColoCare Study. All patients underwent neo-adjuvant treatment. Pre-treatment CT scans were semi-automatically segmented at spinal level L3 vertebrae using SliceOmatic + ABACS software v5.0 rev13 to quantify: subcutaneous and visceral fat area (SFA/VFA, cm2) and skeletal muscle area (SMA, cm2). Information on toxicities was abstracted from medical charts and categorized into gastrointestinal, cardiovascular, and other system-specific toxicities. Median values were calculated for continuous variables (e.g., age at diagnosis, VFA, SFA, and SMA) and compared among patients who did versus did not experience toxicities. Frequencies and percentages were calculated for categorical variables.
RESULTS Among n=320 rectal cancer patients, n=48 (15%) patients experienced at least one toxicity that required treatment modification (defined as dose reduction or discontinuation of therapy). Patients who experienced toxicities were older (58 years vs 56 years), more likely to be male (63% vs 59%), and more likely to be diagnosed with stage III cancer (92% vs 69%) compared to patients who did not experience toxicities. Patients who had higher VFA (166 cm2 vs 148 cm2), lower SFA (197 cm2 vs 208 cm2), and lower SMA (144 cm2 vs 147 cm2) were more likely to experience toxicities compared to patients with lower VFA, higher SFA, or higher SMA.
CONCLUSIONS Body composition parameters may differ between rectal cancer patients who experience toxicities versus those who do not. Multivariate logistic regression and Cox proportional hazard analyses are underway to investigate in more detail the associations of body composition parameters (VFA, SFA, SMA), sarcopenia, and sarcopenic obesity with toxicity and survival in rectal cancer patients.
Citation Format: Jennifer Ose, Jeffrey T. Yap, Daniel Jeong, Simon Ta Van, Matthew F. Covington, Biljana Gigic, Johanna Nattenmueller, Benjamin Haaland, Tengda Lin, Sheetal Hardikar, Caroline Himbert, Anita R. Peoples, Anjelica Ashworth, Juergen Boehm, Petra Schrotz-King, Jane C. Figueiredo, Adetunji T. Toriola, Erin M. Siegel, Christopher I. Li, Alexis B. Ulrich, Martin Schneider, Hans-Ulrich Kauczor, David Shibata, Cornelia M. Ulrich. Differences in body composition among rectal cancer patients with neo-adjuvant treatment-related toxicity: Results from the ColoCare Study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3221.
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Affiliation(s)
| | | | - Daniel Jeong
- 2H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | | | | | | | | | | | - Tengda Lin
- 1Huntsman Cancer Institute, Salt Lake City, UT
| | | | | | | | | | | | | | | | | | - Erin M. Siegel
- 2H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
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Ose J, Lin T, Himbert C, Warby CA, Hardikar S, Boehm J, Gigic B, Schrotz-King P, Schneider M, Ulrich AB, Shibata D, Figueiredo JC, Siegel EM, Li CI, Toriola AT, Ulrich CM. Abstract 3227: Prognostic role of systemic inflammation in colon and rectal cancer patients: Results from the ColoCare Study. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Purpose: Inflammation and angiogenesis are hallmarks of cancer development and progression. No studies have prospectively examined association of angiogenesis-related biomarkers with clinical outcomes in colon and rectal cancer.
Patients and Methods: In pre-surgery serum samples from n=426 non-metastatic colorectal cancer (CRC) patients (stage I-III), we investigated associations of inflammatory (e.g., CRP, SAA, sICAM-1, sVCAM-1) and angiogenesis biomarkers (VEGF-A, VEGF-D) with overall survival (OS), disease-free survival (DFS), and risk of recurrence. We computed hazard ratios (HR) and 95% confidence intervals (CI). Analyses were adjusted for age, sex, body mass index, stage, tumor site, and study site, and also exploratory stratified by tumor site (colon vs. rectum).
Results: N=65 patients (15%) were deceased and n=59 patients (15%) had a recurrence after a median follow-up of 31 months. Overall, doubling of CRP was associated with a ~24% increase in risk of death (OS: HRlog2: 1.24; 95% CI: 1.11-1.40), a 19% increase in risk of recurrence: HRlog2: 1.19; 95% CI: 1.08-1.32, and a non-statistically-significant 12% increase for DFS HRlog2: 1.12; 95% CI: 0.98-1.28. Similar associations were observed for SAA. Doubling of sICAM-1 was associated with a 4-fold increase in risk of death (OS: HRlog2: 4.05; 95% CI: 2.35-6.98). For the angiogenesis marker VEGF-D, significant heterogeneity was observed in analyses stratified by tumor site: doubling was associated with a 3-fold increase in risk of death for rectal cancer (OS: HR: 3.26; 95% CI: 1.58-6.70) and a 22% reduction in mortality for colon cancer (OS: HR: 0.78; 95% CI: 0.35-1.73; pheterogenity <0.001). Similar heterogeneity was observed in associations of VEGF-D with DFS and risk of recurrence, although not statistically significant (pheterogeneity<0.10).
Conclusion: Our data suggest that some biomarkers of inflammation and angiogenesis are prognostic markers for stage I-III CRC patients, with potential differences by tumor site for angiogenesis markers.
Citation Format: Jennifer Ose, Tengda Lin, Caroline Himbert, Christy A. Warby, Sheetal Hardikar, Juergen Boehm, Biljana Gigic, Petra Schrotz-King, Martin Schneider, Alexis B. Ulrich, David Shibata, Jane C. Figueiredo, Erin M. Siegel, Christopher I. Li, Adetunji T. Toriola, Cornelia M. Ulrich. Prognostic role of systemic inflammation in colon and rectal cancer patients: Results from the ColoCare Study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3227.
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Affiliation(s)
| | - Tengda Lin
- 1Huntsman Cancer Institute, Salt Lake City, UT
| | | | | | | | | | | | | | - Martin Schneider
- 4University of Heidelberg at University of Utah, Salt Lake City, UT
| | | | | | | | - Erin M. Siegel
- 8H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
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Mooney K, Dumas K, Fausett A, Littledike M, Ulrich CM, Titchener K. Oncology hospital at home in rural communities: The Huntsman at Home rural experience. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.1535] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
1535 Background: Oncology hospital at home programs have shown promise in decreasing unplanned health care utilization while improving quality of life. While most hospital at home programs serve local urban areas, we extended our oncology hospital at home program, Huntsman at Home, to provide equitable distribution of program services for cancer patients living in rural communities at a distance from our cancer center. Methods: Utilizing a community engagement approach we redesigned our urban Huntsman at Home program for 3 rural communities in Southeastern Utah, a 2 to 5 hour one-way drive from Huntsman Cancer Institute. We systematically collected patient data and program modifications required for rural community delivery during the program’s first 6 months. Care was delivered by on-ground and telehealth nurse practitioner visits and on-ground registered nurse and physical therapy visits. Cardiovascular remote monitoring was utilized during acute care episodes. Results: A total of 47 cancer patients (31 men; 16 women; mean age 69 years) were admitted to the rural program during the first 6 months. Seven patients had 9 acute illness episodes of care. The average length of acute episode care was 6.1 days for treatment of infection, respiratory distress/ hypoxia, cardiac instability (hypotension, tachycardia), and dehydration/electrolyte imbalance and uncontrolled vomiting. Forty patients received subacute management aimed to prevent acute episodes and escalation to the emergency department (ED) or hospitalization. Subacute patients were in the program an average of 15.8 days. There were 4 appropriate escalations (2 hospitalizations, 1 ED visit returned to home and 1 ED visit with hospitalization) for symptoms related to disease progression requiring imaging and hospital-based procedures and one for diagnosis of a post-surgical PE. We found geographic and social determinates of health impacted rural patients’ cancer burden, most notably transportation barriers (44.7%). Secondarily, we found food insecurity impacted nutritional status in 14.9% of patients. A significant number of patients experienced financial toxicity (29.8%) related to lost wages, co-pays and/or out of pocket expenses for care. Lack of health literacy impacted 48.9% of patients effectively navigating their health care and self-management at home. Robust communication and coordination between the hospital at home clinical team, local primary care providers, the rural hospital, community resources and the patients’ cancer center oncology team were keys to improving care pathways. Conclusions: Rural oncology hospital at home is feasible and addresses geographic disparities in equitable access to acute and subacute cancer care in local communities. It requires adaptation to rural needs and culture, coordinated escalation procedures and a focus on addressing geographic and social determinates of health that impact cancer burden.
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Affiliation(s)
- Kathi Mooney
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | | | | | | | - Cornelia M Ulrich
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT
| | - Karen Titchener
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
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Spakowicz D, Hoyd R, Wheeler CE, Zakharia Y, Dodd RD, Ose J, Hardikar S, Tarhini AA, Robinson LA, Singer EA, Carpten JD, Chan CHF, Ikeguchi A, Ulrich CM, McCarter M. Pan-cancer analysis of exogenous (microbial) sequences in tumor transcriptome data from the ORIEN consortium and their association with cancer and tumor microenvironment. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.3113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
3113 Background: The tumor microbiome holds great potential for its ability to characterize various aspects of cancer biology and as a target for rational manipulation. For many cancer types, little is known about the role of microbes and in what contexts they affect clinical outcomes. Non-human (i.e. exogenous) sequences can be observed in low abundance within high throughput sequencing data of tumors. Here, we describe a collaboration among members of The Oncology Research Information Exchange Network (ORIEN) to leverage tumor biopsy RNAseq data collected under a shared protocol and generated at a single site to better understand the tumor microbiome, its association with prognostic features of the tumor microenvironment (TME) such as hypoxia, and how it may be used to improve clinical outcomes. Methods: Tumor RNAseq samples from 10 primary source locations including the tissues colon, lung, pancreas, and skin from ORIEN and similar cancers from The Cancer Genome Atlas (TCGA) were processed through the exoTIC (exogenous sequencing in tumors and immune cells) pipeline to identify and count exogenous sequences, filter contaminants, and normalize across datasets. Gene expression signatures of the TME, such as hypoxia, were calculated using ‘tmesig’. Microbe relative abundances were modeled with primary tumor location and hypoxia score using a gamma-distributed generalized linear regression via the stats package in R. Results: We analyzed RNAseq data of 2892 and 2720 tumors from ORIEN and TCGA, respectively. Patients’ ages were significantly greater in the ORIEN than the TCGA dataset (62 vs 58 yo, t-test p<0.001). The ORIEN data contained more sarcoma samples than TCGA (n = 691 vs 259) with roughly equivalent numbers in other cancer types. Fewer microbes were significantly associated with the hypoxia score than with cancer type (n = 32 vs 210). This trend was observed in both the ORIEN and TCGA datasets. The largest effect sizes were observed between microbes and small cell lung cancer. Conclusions: We found microbial sequences in all ORIEN and TCGA tumor RNAseq samples tested. Cancer type showed more significant associations with microbes than a hypoxia signature. These observations merit further investigation into the interaction between microbes and the TME. [Table: see text]
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Affiliation(s)
- Daniel Spakowicz
- Division of Medical Oncology, Department of Internal Medicine & Department of Biomedical Informatics, Ohio State University, Columbus, OH
| | - Rebecca Hoyd
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH
| | - Caroline E. Wheeler
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH
| | | | | | - Jennifer Ose
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Sheetal Hardikar
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Ahmad A. Tarhini
- Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Lary A. Robinson
- Department of Thoracic Oncology, Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Eric A. Singer
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
| | | | | | | | - Cornelia M Ulrich
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT
| | - Martin McCarter
- University of Colorado Comprehensive Cancer Center, Aurora, CO
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Shu X, Chen Z, Long J, Guo X, Yang Y, Qu C, Ahn YO, Cai Q, Casey G, Gruber SB, Huyghe JR, Jee SH, Jenkins MA, Jia WH, Jung KJ, Kamatani Y, Kim DH, Kim J, Kweon SS, Le Marchand L, Matsuda K, Matsuo K, Newcomb PA, Oh JH, Ose J, Oze I, Pai RK, Pan ZZ, Pharoah PD, Playdon MC, Ren ZF, Schoen RE, Shin A, Shin MH, Shu XO, Sun X, Tangen CM, Tanikawa C, Ulrich CM, van Duijnhoven FJ, Van Guelpen B, Wolk A, Woods MO, Wu AH, Peters U, Zheng W. Large-scale Integrated Analysis of Genetics and Metabolomic Data Reveals Potential Links Between Lipids and Colorectal Cancer Risk. Cancer Epidemiol Biomarkers Prev 2022; 31:1216-1226. [PMID: 35266989 PMCID: PMC9354799 DOI: 10.1158/1055-9965.epi-21-1008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 11/12/2021] [Accepted: 03/04/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND The etiology of colorectal cancer is not fully understood. METHODS Using genetic variants and metabolomics data including 217 metabolites from the Framingham Heart Study (n = 1,357), we built genetic prediction models for circulating metabolites. Models with prediction R2 > 0.01 (Nmetabolite = 58) were applied to predict levels of metabolites in two large consortia with a combined sample size of approximately 46,300 cases and 59,200 controls of European and approximately 21,700 cases and 47,400 controls of East Asian (EA) descent. Genetically predicted levels of metabolites were evaluated for their associations with colorectal cancer risk in logistic regressions within each racial group, after which the results were combined by meta-analysis. RESULTS Of the 58 metabolites tested, 24 metabolites were significantly associated with colorectal cancer risk [Benjamini-Hochberg FDR (BH-FDR) < 0.05] in the European population (ORs ranged from 0.91 to 1.06; P values ranged from 0.02 to 6.4 × 10-8). Twenty one of the 24 associations were replicated in the EA population (ORs ranged from 0.26 to 1.69, BH-FDR < 0.05). In addition, the genetically predicted levels of C16:0 cholesteryl ester was significantly associated with colorectal cancer risk in the EA population only (OREA: 1.94, 95% CI, 1.60-2.36, P = 2.6 × 10-11; OREUR: 1.01, 95% CI, 0.99-1.04, P = 0.3). Nineteen of the 25 metabolites were glycerophospholipids and triacylglycerols (TAG). Eighteen associations exhibited significant heterogeneity between the two racial groups (PEUR-EA-Het < 0.005), which were more strongly associated in the EA population. This integrative study suggested a potential role of lipids, especially certain glycerophospholipids and TAGs, in the etiology of colorectal cancer. CONCLUSIONS This study identified potential novel risk biomarkers for colorectal cancer by integrating genetics and circulating metabolomics data. IMPACT The identified metabolites could be developed into new tools for risk assessment of colorectal cancer in both European and EA populations.
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Affiliation(s)
- Xiang Shu
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA,Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Zhishan Chen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Yaohua Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA
| | - Stephen B. Gruber
- Department of Preventive Medicine & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Jeroen R. Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Mark A. Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Keum Ji Jung
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan,Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Dong-Hyun Kim
- Department of Social and Preventive Medicine, Hallym University College of Medicine, Okcheon-dong, Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, South Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea
| | | | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Keitaro Matsuo
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan,Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Polly A. Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA,School of Public Health, University of Washington, Seattle, Washington, USA
| | - Jae Hwan Oh
- Center for Colorectal Cancer, National Cancer Center Hospital, National Cancer Center, Gyeonggi-do, South Korea
| | - Jennifer Ose
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Rish K. Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, Arizona, USA
| | - Zhi-Zhong Pan
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Paul D.P. Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Mary C. Playdon
- Cancer Control and Population Sciences, Huntsman Cancer Institute and Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, Utah, USA
| | - Ze-Fang Ren
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Robert E. Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea,Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea
| | - Xiao-ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Xiaohui Sun
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA,Department of Epidemiology, Zhejiang Chinese Medical University, Zhejiang, China
| | - Catherine M. Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Chizu Tanikawa
- Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Cornelia M. Ulrich
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | | | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden,Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael O. Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Canada
| | - Anna H. Wu
- University of Southern California, Preventative Medicine, Los Angeles, California, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA,Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
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Jordahl KM, Shcherbina A, Kim AE, Su YR, Lin Y, Wang J, Qu C, Albanes D, Arndt V, Baurley JW, Berndt SI, Bien SA, Bishop DT, Bouras E, Brenner H, Buchanan DD, Budiarto A, Campbell PT, Carreras-Torres R, Casey G, Cenggoro TW, Chan AT, Conti DV, Dampier CH, Devall MA, Díez-Obrero V, Dimou N, Drew DA, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gsur A, Gunter MJ, Hampel H, Harlid S, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Joshi AD, Keku TO, Larsson SC, Le Marchand L, Lewinger JP, Li L, Mahesworo B, Moreno V, Morrison JL, Murphy N, Nan H, Nassir R, Newcomb PA, Obón-Santacana M, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Pharoah PDP, Platz EA, Potter JD, Prentice RL, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Slattery ML, Stern MC, Tangen CM, Thibodeau SN, Thomas DC, Tian Y, Tsilidis KK, Ulrich CM, van Duijnhoven FJB, Van Guelpen B, Visvanathan K, Vodicka P, White E, Wolk A, Woods MO, Wu AH, Zemlianskaia N, Chang-Claude J, Gauderman WJ, Hsu L, Kundaje A, Peters U. Beyond GWAS of Colorectal Cancer: Evidence of Interaction with Alcohol Consumption and Putative Causal Variant for the 10q24.2 Region. Cancer Epidemiol Biomarkers Prev 2022; 31:1077-1089. [PMID: 35438744 PMCID: PMC9081195 DOI: 10.1158/1055-9965.epi-21-1003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 10/30/2021] [Accepted: 02/15/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Currently known associations between common genetic variants and colorectal cancer explain less than half of its heritability of 25%. As alcohol consumption has a J-shape association with colorectal cancer risk, nondrinking and heavy drinking are both risk factors for colorectal cancer. METHODS Individual-level data was pooled from the Colon Cancer Family Registry, Colorectal Transdisciplinary Study, and Genetics and Epidemiology of Colorectal Cancer Consortium to compare nondrinkers (≤1 g/day) and heavy drinkers (>28 g/day) with light-to-moderate drinkers (1-28 g/day) in GxE analyses. To improve power, we implemented joint 2df and 3df tests and a novel two-step method that modifies the weighted hypothesis testing framework. We prioritized putative causal variants by predicting allelic effects using support vector machine models. RESULTS For nondrinking as compared with light-to-moderate drinking, the hybrid two-step approach identified 13 significant SNPs with pairwise r2 > 0.9 in the 10q24.2/COX15 region. When stratified by alcohol intake, the A allele of lead SNP rs2300985 has a dose-response increase in risk of colorectal cancer as compared with the G allele in light-to-moderate drinkers [OR for GA genotype = 1.11; 95% confidence interval (CI), 1.06-1.17; OR for AA genotype = 1.22; 95% CI, 1.14-1.31], but not in nondrinkers or heavy drinkers. Among the correlated candidate SNPs in the 10q24.2/COX15 region, rs1318920 was predicted to disrupt an HNF4 transcription factor binding motif. CONCLUSIONS Our study suggests that the association with colorectal cancer in 10q24.2/COX15 observed in genome-wide association study is strongest in nondrinkers. We also identified rs1318920 as the putative causal regulatory variant for the region. IMPACT The study identifies multifaceted evidence of a possible functional effect for rs1318920.
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Affiliation(s)
- Kristina M Jordahl
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Anna Shcherbina
- Department of Genetics, Stanford University, Stanford, California
- Department of Computer Science, Stanford University, Stanford, California
| | - Andre E Kim
- Division of Biostatistics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jun Wang
- Division of Biostatistics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - James W Baurley
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
- BioRealm LLC, Walnut, California
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, United Kingdom
| | - Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
- Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Arif Budiarto
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
- Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Robert Carreras-Torres
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Tjeng Wawan Cenggoro
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - David V Conti
- Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Christopher H Dampier
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Matthew A Devall
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Virginia Díez-Obrero
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Niki Dimou
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - David A Drew
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Stephen B Gruber
- Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Akihisa Hidaka
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Juan Pablo Lewinger
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, Virginia
| | - Bharuno Mahesworo
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - John L Morrison
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Neil Murphy
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Hongmei Nan
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indianapolis, Indiana
- IU Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, Indiana
| | - Rami Nassir
- Department of Pathology, School of Medicine, Umm Al-Qura'a University, Saudi Arabia
| | - Polly A Newcomb
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Mireia Obón-Santacana
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), Avda Gran Via Barcelona 199-203, 08908L'Hospitalet de Llobregat, Barcelona, Spain
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Jennifer Ose
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, Arizona
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Nikos Papadimitriou
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Bens Pardamean
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Anita R Peoples
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
- Huntsman Cancer Institute, Salt Lake City, Utah
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Ross L Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Edward Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Peter C Scacheri
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio
| | - Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, Ohio
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, Ohio
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | - Mariana C Stern
- Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Duncan C Thomas
- Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Yu Tian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- School of Public Health, Capital Medical University, Beijing, China
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, United Kingdom
| | - Cornelia M Ulrich
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
- Huntsman Cancer Institute, Salt Lake City, Utah
| | | | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Emily White
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Canada
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Natalia Zemlianskaia
- Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - W James Gauderman
- Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, California
- Department of Computer Science, Stanford University, Stanford, California
| | - Ulrike Peters
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
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