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Fang A, Ugai T, Gurjao C, Zhong R, Liu Z, Zhang X, Wang P, Nowak J, Wang M, Giannakis M, Ogino S, Zhang X, Giovannucci E. Alcohol and colorectal cancer risk, subclassified by mutational signatures of DNA mismatch repair deficiency. J Natl Cancer Inst 2024; 116:1255-1263. [PMID: 38574386 PMCID: PMC11308185 DOI: 10.1093/jnci/djae078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 03/05/2024] [Accepted: 03/27/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND We examined whether the association between alcohol consumption and colorectal cancer (CRC) incidence was stronger for tumors with higher contributions of defective mismatch repair (dMMR)-related tumor mutational signatures. METHODS We used data from 227 916 men and women who participated in the Nurses' Health Study (1980-2016), the Nurses' Health Study II (1991-2017), and the Health Professionals Follow-Up Study (1986-2016). Dietary data were collected every 4 years through validated food frequency questionnaires. Relative contributions of 2 defective mismatch repair-related tumor mutational signatures with single-based substitutions (c-dMMRa/SBS15 and c-dMMRb/SBS26) were quantified using whole-exome sequencing data in a subset of incident CRC patients. Duplication-method Cox proportional hazards regression models were used to assess the association between alcohol consumption and the risk of CRC subtypes according to different contributions of the tumor mutational signatures. All statistical tests were 2-sided. RESULTS We documented 825 incident CRC patients with available tumor mutational signature data over 26 to 36 years of follow-up. The association between alcohol consumption and CRC incidence was stronger for tumors with higher contributions of c-dMMRb/SBS26 (Ptrend = .02 for heterogeneity) compared with tumors with lower contributions of this tumor mutational signature. Compared with nondrinkers, drinkers who imbibed 15 g/d or more of alcohol had a high risk of c-dMMRb/SBS26-high CRC (multivariable-adjusted hazard ratio = 2.43, 95% confidence interval = 1.55 to 3.82) but not c-dMMRb/SBS26-low CRC (multivariable-adjusted hazard ratio = 0.86, 95% confidence interval = 0.57 to 1.28) or c-dMMRb/SBS26-moderate CRC (multivariable-adjusted hazard ratio = 1.14, 95% confidence interval = 0.76 to 1.71). No significant differential associations were observed for c-dMMRa/SBS15 (Ptrend = .41 for heterogeneity). CONCLUSIONS High alcohol consumption was associated with an increased incidence of CRC containing higher contributions of c-dMMRb/SBS26, suggesting that alcohol consumption may be involved in colorectal carcinogenesis through the DNA mismatch repair pathway.
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Affiliation(s)
- Aiping Fang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tomotaka Ugai
- Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Carino Gurjao
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rong Zhong
- Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhenhua Liu
- Department of Nutrition, School of Public Health & Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Xinyuan Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Peilu Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Jonathan Nowak
- Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Shuji Ogino
- Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Xuehong Zhang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Edward Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Nakano S, Yamaji T, Shiraishi K, Hidaka A, Shimazu T, Kuchiba A, Saito M, Kunishima F, Nakaza R, Kohno T, Sawada N, Inoue M, Tsugane S, Iwasaki M. Smoking and risk of colorectal cancer according to KRAS and BRAF mutation status in a Japanese prospective Study. Carcinogenesis 2023; 44:476-484. [PMID: 37352389 DOI: 10.1093/carcin/bgad046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 04/21/2023] [Accepted: 06/22/2023] [Indexed: 06/25/2023] Open
Abstract
Although smoking is a major modifiable risk factor for many types of cancer, evidence for colorectal cancer is equivocal in Asian populations. Recent Western studies have proposed that the association between smoking and colorectal cancer is restricted to specific tumor molecular subtypes. However, no studies have evaluated the association according to tumor molecular subtypes in Asian populations. In a Japanese prospective population-based cohort study of 18 773 participants, we collected tumor tissues from incident colorectal cancer cases and evaluated KRAS (Kirsten rat sarcoma viral oncogene homolog) and BRAF (v-raf murine sarcoma viral oncogene homolog B) mutation status using target sequencing. Multivariable-adjusted Cox proportional hazard model was used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for associations of smoking with the risk of overall colorectal cancer and its subtypes defined by KRAS and BRAF mutation status. Among 339 cases, KRAS and BRAF mutations were identified in 164 (48.4%) and 16 (4.7%) cases, respectively. The multivariable-adjusted HR for ever smoking compared with never smoking was 1.24 [95% CI: 0.93-1.66], 1.75 [1.14-2.68], 0.87 [0.59-1.29], 1.24 [0.93-1.67] and 1.22 [0.38-3.93] for overall, KRAS wild-type, KRAS-mutated, BRAF wild-type and BRAF-mutated colorectal cancer, respectively. The statistically significant heterogeneity was indicated between KRAS mutation status (Pheterogeneity = 0.01) but not between BRAF mutation status. This study is the first to demonstrate that smokers have an approximately 2-fold higher risk of KRAS wild-type colorectal cancer than never smokers in an Asian population. Our findings support that smoking is a risk factor for colorectal cancer, especially for its subtype without KRAS mutations, in Asian populations.
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Affiliation(s)
- Shiori Nakano
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Akihisa Hidaka
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Division of Gastroenterology and Hepatology, The Jikei University Daisan Hospital, Tokyo, Japan
| | - Taichi Shimazu
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Aya Kuchiba
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kanagawa, Japan
- Division of Biostatistical Research, Institute for Cancer Control/Biostatistics Division, Center for Research Administration and Support, National Cancer Center, Tokyo, Japan
| | - Masahiro Saito
- Department of Diagnostic Pathology, Hiraka General Hospital, Yokote, Akita, Japan
| | - Fumihito Kunishima
- Department of Diagnostic Pathology, Okinawa Prefecture Chubu Hospital, Okinawa, Japan
| | - Ryouji Nakaza
- Department of clinical laboratory, Nakagami Hospital, Okinawa, Japan
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Manami Inoue
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Shoichiro Tsugane
- Division of Cohort research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Division of Cohort research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
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Pardamean CI, Sudigyo D, Budiarto A, Mahesworo B, Hidayat AA, Baurley JW, Pardamean B. Changing Colorectal Cancer Trends in Asians: Epidemiology and Risk Factors. Oncol Rev 2023; 17:10576. [PMID: 37284188 PMCID: PMC10241074 DOI: 10.3389/or.2023.10576] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 05/11/2023] [Indexed: 06/08/2023] Open
Abstract
Once an infrequent disease in parts of Asia, the rate of colorectal cancer in recent decades appears to be steadily increasing. Colorectal cancer represents one of the most important causes of cancer mortality worldwide, including in many regions in Asia. Rapid changes in socioeconomic and lifestyle habits have been attributed to the notable increase in the incidence of colorectal cancers in many Asian countries. Through published data from the International Agency for Cancer Research (IARC), we utilized available continuous data to determine which Asian nations had a rise in colorectal cancer rates. We found that East and South East Asian countries had a significant rise in colorectal cancer rates. Subsequently, we summarized here the known genetics and environmental risk factors for colorectal cancer among populations in this region as well as approaches to screening and early detection that have been considered across various countries in the region.
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Zou Q, Lei X, Xu A, Li Z, He Q, Huang X, Xu G, Tian F, Ding Y, Zhu W. Chemokines in progression, chemoresistance, diagnosis, and prognosis of colorectal cancer. Front Immunol 2022; 13:724139. [PMID: 35935996 PMCID: PMC9353076 DOI: 10.3389/fimmu.2022.724139] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Accepted: 06/27/2022] [Indexed: 12/24/2022] Open
Abstract
Plenty of factors affect the oncogenesis and progression of colorectal cancer in the tumor microenvironment, including various immune cells, stromal cells, cytokines, and other factors. Chemokine is a member of the cytokine superfamily. It is an indispensable component in the tumor microenvironment. Chemokines play an antitumor or pro-tumor role by recruitment or polarization of recruiting immune cells. Meanwhile, chemokines, as signal molecules, participate in the formation of a cross talk among signaling pathways and non-coding RNAs, which may be involved in promoting tumor progression. In addition, they also function in immune escape. Chemokines are related to drug resistance of tumor cells and may even provide reference for the diagnosis, therapy, and prognosis of patients with colorectal cancer.
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Affiliation(s)
- Qian Zou
- Department of Pathology, Guangdong Medical University, Dongguan, China
| | - Xue Lei
- Department of Pathology, Guangdong Medical University, Dongguan, China
| | - Aijing Xu
- Department of Genetics and Endocrinology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Ziqi Li
- Department of Pathology, Guangdong Medical University, Dongguan, China
| | - Qinglian He
- Department of Pathology, Guangdong Medical University, Dongguan, China
| | - Xiujuan Huang
- Department of Pathology, Guangdong Medical University, Dongguan, China
- Department of Hematology, Longgang District People’s Hospital of Shenzhen, Shenzhen, China
| | - Guangxian Xu
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, School of Medical Technology, Institute of Clinical Laboratory, Guangdong Medical University, Dongguan, China
| | - Faqing Tian
- Department of Pathology, Guangdong Medical University, Dongguan, China
- Department of Genetics and Endocrinology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- *Correspondence: Faqing Tian, ; Yuanlin Ding, ; Wei Zhu,
| | - Yuanlin Ding
- School of Public Health, Guangdong Medical University, Dongguan, China
- *Correspondence: Faqing Tian, ; Yuanlin Ding, ; Wei Zhu,
| | - Wei Zhu
- Department of Pathology, Guangdong Medical University, Dongguan, China
- *Correspondence: Faqing Tian, ; Yuanlin Ding, ; Wei Zhu,
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Risk Factors of Young-Onset Colorectal Cancer: Analysis of a Large Population-Based Registry. Can J Gastroenterol Hepatol 2022; 2022:3582443. [PMID: 35223684 PMCID: PMC8866030 DOI: 10.1155/2022/3582443] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 01/19/2022] [Indexed: 12/09/2022] Open
Abstract
BACKGROUND As the third most common type of cancer in the United States, colorectal cancer (CRC) was previously thought to be rare in young populations. Despite a decrease in the overall incidence of CRC, the rate of new cases under 50 years old has been continuously increasing. AIM The purpose of our study was to analyze risk factors of young-onset CRC. METHODS Commercially available software platform, Explorys, was used to extract data from a collective healthcare database electronically. RESULTS In this database, 13,800 young adults (age 20-50) were diagnosed with primary colorectal malignancy. Compared to subjects with a previous family history of CRC who had an odds ratio of 17.78, those diagnosed with primary malignant neoplasm of breast and inflammatory bowel disease (ulcerative colitis and Crohn's) had odds ratios of 16.94, 4.4, and 3.7 for young-onset CRC, respectively. Patients with a history of alcohol abuse, smoking, obesity, diabetes mellitus, and hyperlipidemia had higher chances of developing young-onset CRC. In addition, the odds of CRC were lower in Hispanic ethnicity in comparison to Caucasians (OR: 0.54), with no statically significant differences between Caucasian, African American, and Asian populations. CONCLUSION Currently, this is an expansive study investigating the risk factors for early-onset CRC. The analysis showed factors such as family and individual history of IBD to have high association with early onset. Notably, an individual history of breast malignancy was strongly associated with early-onset CRC.
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6
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Wang X, Amitay E, Harrison TA, Banbury BL, Berndt SI, Brenner H, Buchanan DD, Campbell PT, Cao Y, Chan AT, Chang-Claude J, Gallinger SJ, Giannakis M, Giles GG, Gunter MJ, Hopper JL, Jenkins MA, Lin Y, Moreno V, Nishihara R, Newcomb PA, Ogino S, Phipps AI, Sakoda LC, Schoen RE, Slattery ML, Song M, Sun W, Thibodeau SN, Toland AE, Van Guelpen B, Woods MO, Hsu L, Hoffmeister M, Peters U. Association Between Smoking and Molecular Subtypes of Colorectal Cancer. JNCI Cancer Spectr 2021; 5:pkab056. [PMID: 34377935 PMCID: PMC8346704 DOI: 10.1093/jncics/pkab056] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 03/25/2021] [Accepted: 04/30/2021] [Indexed: 12/24/2022] Open
Abstract
Background Smoking is associated with colorectal cancer (CRC) risk. Previous studies suggested this association may be restricted to certain molecular subtypes of CRC, but large-scale comprehensive analysis is lacking. Methods A total of 9789 CRC cases and 11 231 controls of European ancestry from 11 observational studies were included. We harmonized smoking variables across studies and derived sex study-specific quartiles of pack-years of smoking for analysis. Four somatic colorectal tumor markers were assessed individually and in combination, including BRAF mutation, KRAS mutation, CpG island methylator phenotype (CIMP), and microsatellite instability (MSI) status. A multinomial logistic regression analysis was used to assess the association between smoking and risk of CRC subtypes by molecular characteristics, adjusting for age, sex, and study. All statistical tests were 2-sided and adjusted for Bonferroni correction. Results Heavier smoking was associated with higher risk of CRC overall and stratified by individual markers (P trend < .001). The associations differed statistically significantly between all molecular subtypes, which was the most statistically significant for CIMP and BRAF. Compared with never-smokers, smokers in the fourth quartile of pack-years had a 90% higher risk of CIMP-positive CRC (odds ratio = 1.90, 95% confidence interval = 1.60 to 2.26) but only 35% higher risk for CIMP-negative CRC (odds ratio = 1.35, 95% confidence interval = 1.22 to 1.49; P difference = 2.1 x 10-6). The association was also stronger in tumors that were CIMP positive, MSI high, or KRAS wild type when combined (P difference < .001). Conclusion Smoking was associated with differential risk of CRC subtypes defined by molecular characteristics. Heavier smokers had particularly higher risk of CRC subtypes that were CIMP positive and MSI high in combination, suggesting that smoking may be involved in the development of colorectal tumors via the serrated pathway.
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Affiliation(s)
- Xiaoliang Wang
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Efrat Amitay
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Barbara L Banbury
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Preventive Oncology, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel D Buchanan
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
- Department of Clinical Pathology, Colorectal Oncogenomics Group, 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, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Peter T Campbell
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Yin Cao
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO, USA
- Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine, St. Louis, MO, USA
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - 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, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
- Genetic Tumour Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Steven J Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Graham G Giles
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
| | - Reiko Nishihara
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 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
| | - Shuji Ogino
- Department of Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - 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 Health Sciences Center, Salt Lake City, UT, 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
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Wei Sun
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Steven N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Amanda E Toland
- Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Michael O Woods
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Newfoundland & Labrador, Canada
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
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Anwar S, Almatroudi A, Alsahli MA, Khan MA, Khan AA, Rahmani AH. Natural Products: Implication in Cancer Prevention and Treatment through Modulating Various Biological Activities. Anticancer Agents Med Chem 2021; 20:2025-2040. [PMID: 32628596 DOI: 10.2174/1871520620666200705220307] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 04/20/2020] [Accepted: 04/27/2020] [Indexed: 12/14/2022]
Abstract
Cancer is one of the most leading causes of death worldwide. It is one of the primary global diseases that cause morbidity and mortality in millions of people. It is usually caused by different carcinogenic agents that damage the genetic material and alter the cell signaling pathways. Carcinogens are classified into two groups as genotoxic and non-genotoxic agents. Genotoxic carcinogens are capable of directly altering the genetic material, while the non-genotoxic carcinogens are capable of producing cancer by some secondary mechanisms not related to direct gene damage. There is undoubtedly the greatest need to utilize some novel natural products as anticancer agents, as these are within reach everywhere. Interventions by some natural products aimed at decreasing the levels and conditions of these risk factors can reduce the frequency of cancer incidences. Cancer is conventionally treated by surgery, radiation therapy and chemotherapy, but such treatments may be fast-acting and causes adverse effects on normal tissues. Alternative and innovative methods of cancer treatment with the least side effects and improved efficiency are being encouraged. In this review, we discuss the different risk factors of cancer development, conventional and innovative strategies of its management and provide a brief review of the most recognized natural products used as anticancer agents globally.
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Affiliation(s)
- Shehwaz Anwar
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 52571, Saudi Arabia
| | - Ahmad Almatroudi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 52571, Saudi Arabia
| | - Mohammed A Alsahli
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 52571, Saudi Arabia
| | - Masood A Khan
- Department of Basic Health Sciences, College of Applied Medical Sciences, Qassim University, Buraidah, Saudi Arabia
| | - Amjad A Khan
- Department of Basic Health Sciences, College of Applied Medical Sciences, Qassim University, Buraidah, Saudi Arabia
| | - Arshad H Rahmani
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 52571, Saudi Arabia
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8
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Advani SM, Swartz MD, Loree J, Davis JS, Sarsashek AM, Lam M, Lee MS, Bressler J, Lopez DS, Daniel CR, Morris V, Shureqi I, Kee B, Dasari A, Vilar E, Overman M, Hamilton S, Maru D, Braithwaite D, Kopetz S. Epidemiology and Molecular-Pathologic Characteristics of CpG Island Methylator Phenotype (CIMP) in Colorectal Cancer. Clin Colorectal Cancer 2021; 20:137-147.e1. [PMID: 33229221 DOI: 10.1016/j.clcc.2020.09.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 09/15/2020] [Accepted: 09/18/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND CpG island methylator phenotype (CIMP) forms a distinct epigenetic phenotype in colorectal cancer (CRC). Though associated with distinct clinicopathologic characteristics, limited evidence exists of the association of CIMP with patient's reported lifestyle factors and tumor molecular characteristics. We assessed the associations of these characteristics in a pooled analysis of CRC patients. PATIENTS AND METHODS We pooled data from 3 CRC patient cohorts: Assessment of Targeted Therapies Against Colorectal Cancer (ATTACC), biomarker-based protocol (Integromics), and The Cancer Genome Atlas (TCGA). CIMP was measured using the classical 6-gene methylated-in-tumor (MINT) marker panel (MINT1, MINT2, MINT31, p14, p16, and MLH1) in ATTACC and genome-wide human methylation arrays in Integromics and TCGA, respectively. CIMP-High (CIMP-H) was defined as ≥ 3 of 6 methylated markers in ATTACC. In TCGA and Integromics, CIMP-H group was defined on the basis of clusters of methylation profiles and high levels of methylation in tumor samples. Baseline comparisons of characteristics across CIMP groups (CIMP-H vs. CIMP-0) were performed by Student t test or chi-square test for continuous or categorical variables, respectively. Further logistic regression analyses were performed to compute the odds ratio (OR) of these associations. RESULTS Pooled prevalence of CIMP-H was 22% across 3 data sets. CIMP-H CRC tumors were associated with older age at diagnosis (OR, 1.02; 95% confidence interval [CI], 1.01, 1.03), microsatellite instability-high (MSI-H) status (OR, 9.15; 95% CI, 4.45, 18.81), BRAF mutation (OR, 7.70; 95% CI, 4.98, 11.87), right-sided tumor location (OR, 2.40; 95% CI, 1.78, 3.22), poor differentiation (OR, 2.94; 95% CI, 1.95, 4.45), and mucinous histology (OR, 2.47; 95% CI, 1.77, 3.47), as reported previously in the literature. CIMP-H tumors were also found to be associated with self-reported history of alcohol consumption (OR, ever vs. never, 1.58; 95% CI, 1.07, 2.34). Pathologically, CIMP-H tumors were associated with the presence of intraepithelial lymphocytes (OR, 3.31; 95% CI, 1.41, 7.80) among patients in the Integromics cohort. CONCLUSION CIMP-H tumors were associated with history of alcohol consumption and presence of intraepithelial lymphocytes. In addition, we confirmed the previously known association of CIMP with age, MSI-H status, BRAF mutation, sidedness, and mucinous histology. Molecular pathologic epidemiology associations help us explore the underlying association of lifestyle and clinical factors with molecular subsets like CIMP and help guide cancer prevention and treatment strategies.
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Affiliation(s)
- Shailesh M Advani
- Social Behavioral Research Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, MD; Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Oncology, Georgetown University School of Medicine, Washington, DC.
| | - Michael D Swartz
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX
| | - Jonathan Loree
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jennifer S Davis
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Amir Mehvarz Sarsashek
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael Lam
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael Sangmin Lee
- Division of Gastrointestinal Oncology, University of North Carolina Chapel Hill, Chapel Hill, NC
| | - Jan Bressler
- Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, School of Public Health, Houston, TX
| | - David S Lopez
- Department of Preventive Medicine and Population Health, UTMB School of Medicine, Galveston, TX
| | - Carrie R Daniel
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Van Morris
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Imad Shureqi
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Bryan Kee
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Arvind Dasari
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Eduardo Vilar
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael Overman
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Stanley Hamilton
- Division of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Dipen Maru
- Division of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Dejana Braithwaite
- Department of Oncology, Georgetown University School of Medicine, Washington, DC
| | - Scott Kopetz
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.
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9
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Chakraborty P, Ghatak S, Chenkual S, Pachuau L, Zohmingthanga J, Bawihtlung Z, Khenglawt L, Pautu JL, Maitra A, Chhakchhuak L, Kumar NS. Panel of significant risk factors predicts early stage gastric cancer and indication of poor prognostic association with pathogens and microsatellite stability. Genes Environ 2021; 43:3. [PMID: 33568233 PMCID: PMC7877109 DOI: 10.1186/s41021-021-00174-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 02/01/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND There are very few studies covering the epidemiological risk factors associated with Epstein Barr Virus (EBV) and Microsatellite stability for Gastric Cancer (GC) cases. Early diagnosis of GC through epidemiological risk factors is very necessary for the clinical assessment of GC. The aim of this study was to find out the major risk factors to predict GC in early stage and the impact of pathogen infection and MSI on survival rate of patients. GC samples were screened for Helicobacter pylori, Epstein Barr Virus, and Mismatch repair (MMR) gene status (microsatellite stable or instable). Chi-square and logistic regression analysis of Odd ratio and 95% confidence interval (OR, 95% CI) were performed to find out the association between epidemiological factors and the risk of gastric cancer. The pathogen and MMR gene status were analysed to predict their effect on overall survival and the risk score and hazard ratio was calculated for prognostic assessment. RESULTS Excess body weight, consumption of extra salt, smoked food, alcohol, and smoking were the major risk factors for GC development. This study achieved a high area under the curve (AUC 0.94) for the probable GC patients in early-stage using the five-panel epidemiological risk factors. H. pylori infected cases were significant with smoked food, while EBV was found to be associated with tuibur intake and smoked food. In overall survival analysis EBV infected and microsatellite stable (HR: 1.32 and 1.34 respectively) GC cases were showing poor prognosis. CONCLUSION This study might provide new opportunities for personalized treatment options using this epidemiological factor risk score and clinicopathological factors assessment for early detection and prognosis in high-risk GC populations.
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Affiliation(s)
- Payel Chakraborty
- Department of Biotechnology, Mizoram University, Aizawl, Mizoram, 796004, India
| | - Souvik Ghatak
- Department of Biotechnology, Mizoram University, Aizawl, Mizoram, 796004, India
| | - Saia Chenkual
- Department of Surgery, Civil Hospital Aizawl, Aizawl, Mizoram, 796001, India
| | - Lalawmpuii Pachuau
- Department of Pathology, Civil Hospital Aizawl, Aizawl, Mizoram, 796001, India
| | - John Zohmingthanga
- Department of Pathology, Civil Hospital Aizawl, Aizawl, Mizoram, 796001, India
| | - Zothankima Bawihtlung
- Department of Radiation Oncology, Mizoram State Cancer Institute, Zemabawk, Aizawl, Mizoram, 796017, India
| | - Lalfakzuala Khenglawt
- Department of Radiation Oncology, Mizoram State Cancer Institute, Zemabawk, Aizawl, Mizoram, 796017, India
| | - Jeremy L Pautu
- Department of Oncology, Mizoram State Cancer Institute, Zemabawk, Aizawl, Mizoram, 796017, India
| | - Arindam Maitra
- National Institute of Biomedical Genomics, P.O. NSS, District Nadia, Kalyani, West Bengal, 741251, India
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10
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Kowalczyk M, Klepacki Ł, Zieliński E, Kurpiewski W, Zinkiewicz K, Dyśko Ł, Pesta W. The Effect of Smoking on the Number and Type of Rectal Aberrant Crypt Foci (ACF)-First Identifiable Precursors of Colorectal Cancer (CRC). J Clin Med 2020; 10:jcm10010055. [PMID: 33375262 PMCID: PMC7795789 DOI: 10.3390/jcm10010055] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Revised: 12/08/2020] [Accepted: 12/23/2020] [Indexed: 11/24/2022] Open
Abstract
Background: The problem of smoking and its influence on the occurrence of precursors and advanced colorectal cancer is often discussed in the medical literature. Tobacco smoke can provide a non-nutritional source of polycyclic hydrocarbons and other substances which, when combined with an incorrect diet, may play a role in promoting carcinogenesis at the level of the genetic control mechanism. The aim of our study was to assess the effect of smoking on the frequency and type of aberrant crypt foci (ACF) in the rectum and polyps in the large intestine in people who smoke more than 20 cigarettes a day for more than 20 years. Methods and Findings: A colonoscopy combined with rectal mucosa staining with 0.25% methylene blue was performed in 131 patients. Each of the study participants gave informed consent to participate in the study. Three bioptates were collected from the foci defined macroscopically as ACF; in cases where there were fewer foci, the number of collected foci was respectively lower. On the colonoscopy day, patients completed the questionnaire regarding epidemiological data used for analysis of factors affecting the occurrence of ACF in the study group. The number of ACF in the colon was divided into three groups: −ACF < 5, 5 < ACF < 10, ACF > 10. In the statistical analysis, numerical data were presented and real numbers, range of arrhythmic means, mean standard deviation, and results of probability distribution. The Student’s test, U test, and chi2 were applied in order to determine the significance of differences of means and frequency of events in both groups. The level of significance was set at α = 0.05. Statistica 7.1 and Excel 2010 were used. Most smokers are in the age groups between 51–70 years. In the youngest (31–40 years), single ACF appear first (ACF <5) ACF in the number of 5–10 appear a little later (around 50 years of age) and dynamically increase, reaching a maximum at the age of 60–65.ACF in the number >10 appear at the latest age (55 years old) and their number gradually increases with age (linear growth). The probability of occurrence of ACF in all groups is greater in smokers, and the difference for the ACF group 5-10 and ACF >10 is statistically significant with a significance level of p < 0.05. Apart from ACF normal, all types of ACF are more likely in this group than in non-smokers and these differences are statistically significant with p < 0.05. Conclusions: Smoking has a significant impact on the number and type of rectal ACF. Smokers have a greater number of ACFs in the rectum than non-smokers, and the most common type is hyperplastic ACF. Smokers are more likely to develop polyps in all sections of the colon compared to non-smokers.
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Affiliation(s)
- Marek Kowalczyk
- Department of Psychology and Sociology of Health and Public Health, University of Warmia and Mazury, 10-082 Olsztyn, Poland;
- Clinic of Oncological and General Surgery, University Clinical Hospital in Olsztyn, 10-082 Olsztyn, Poland; (Ł.K.); (W.K.); (Ł.D.); (W.P.)
| | - Łukasz Klepacki
- Clinic of Oncological and General Surgery, University Clinical Hospital in Olsztyn, 10-082 Olsztyn, Poland; (Ł.K.); (W.K.); (Ł.D.); (W.P.)
- Department of Anatomy, University of Warmia and Mazury in Olsztyn, 10-082 Olsztyn, Poland
| | - Ewa Zieliński
- Department of Emergency Medicine and Disaster Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University, 87-100 Toruń, Poland
- Correspondence:
| | - Waldemar Kurpiewski
- Clinic of Oncological and General Surgery, University Clinical Hospital in Olsztyn, 10-082 Olsztyn, Poland; (Ł.K.); (W.K.); (Ł.D.); (W.P.)
| | - Krzysztof Zinkiewicz
- 2nd Department of General, Gastroenterologic and Gastrointestinal Oncologic Surgery, Medical University of Lublin, University Hospital No.1, 20-059 Lublin, Poland;
| | - Łukasz Dyśko
- Clinic of Oncological and General Surgery, University Clinical Hospital in Olsztyn, 10-082 Olsztyn, Poland; (Ł.K.); (W.K.); (Ł.D.); (W.P.)
| | - Wiesław Pesta
- Clinic of Oncological and General Surgery, University Clinical Hospital in Olsztyn, 10-082 Olsztyn, Poland; (Ł.K.); (W.K.); (Ł.D.); (W.P.)
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11
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Transcription factors in colorectal cancer: molecular mechanism and therapeutic implications. Oncogene 2020; 40:1555-1569. [PMID: 33323976 DOI: 10.1038/s41388-020-01587-3] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 11/02/2020] [Accepted: 11/24/2020] [Indexed: 12/17/2022]
Abstract
Colorectal cancer (CRC) is a major cause of cancer mortality worldwide, however, the molecular mechanisms underlying the pathogenesis of CRC remain largely unclear. Recent studies have revealed crucial roles of transcription factors in CRC development. Transcription factors essential for the regulation of gene expression by interacting with transcription corepressor/enhancer complexes and they orchestrate downstream signal transduction. Deregulation of transcription factors is a frequent occurrence in CRC, and the accompanying drastic changes in gene expression profiles play fundamental roles in multistep process of tumorigenesis, from cellular transformation, disease progression to metastatic disease. Herein, we summarized current and emerging key transcription factors that participate in CRC tumorigenesis, and highlighted their oncogenic or tumor suppressive functions. Moreover, we presented critical transcription factors of CRC, emphasized the major molecular mechanisms underlying their effect on signal cascades associated with tumorigenesis, and summarized of their potential as molecular biomarkers for CRC prognosis therapeutic response, as well as drug targets for CRC treatment. A better understanding of transcription factors involved in the development of CRC will provide new insights into the pathological mechanisms and reveal novel prognostic biomarkers and therapeutic strategies for CRC.
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12
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Zeng X, Zhu S, Xu C, Wang Z, Su X, Zeng D, Long H, Zhu B. Effect of Comorbidity on Outcomes of Patients with Advanced Non-Small Cell Lung Cancer Undergoing Anti-PD1 Immunotherapy. Med Sci Monit 2020; 26:e922576. [PMID: 32893263 PMCID: PMC7496511 DOI: 10.12659/msm.922576] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Comorbidities are reportedly related to the survival of patients with non-small cell lung cancer (NSCLC). The purpose of this study was to explore the impact of comorbidity, assessed by the Charlson comorbidity index (CCI) and the simplified comorbidity scores (SCS) on clinical outcomes of patients with NSCLC treated with immune checkpoint inhibitors. MATERIAL AND METHODS Sixty-six patients with NSCLC who received programmed cell death protein 1 (PD1) inhibitors in our institution in the past 2 years were enrolled in this retrospective study. Data on comorbidity (CCI and SCS) and clinical outcomes, including progression-free survival (PFS), immunotherapy responses, and immunotherapy-related adverse events, were analyzed. RESULTS The disease control rate was obviously higher among patients in the CCI <1 group than the CCI ≥1 group (P<0.001), but were similar between the SCS <8 group and SCS ≥8 group (P=0.585). The median PFS in the CCI <1 group was 271.0 days (95% CI: 214.3-327.7 days) compared with 232.0 days (95% CI: 66.2-397.8 days) for the CCI ≥1 group (P=0.0084). However, the median PFS showed no difference between the groups with SCS <8 at 271.0 days (95% CI: 138.7-403.3 days) versus SCS ≥8 at 222.0 days (95% CI: 196.2-247.8 days), P=0.2106). The incidence of adverse events was similar among patients with high versus low comorbidity indexes (CCI: 35.8% versus 23.6%, P=0.286, respectively; and SCS: 28.0% versus 29.3%, respectively, P=0.912). CONCLUSIONS The comorbidity burden might be a predictor for survival in patients with NSCLC undergoing PD1 inhibitor immunotherapy.
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Affiliation(s)
- Xianghua Zeng
- Institute of Cancer, Xinqiao Hospital of The Third Military Medical University, Chongqing, China (mainland).,Chongqing Key Laboratory of Immunotherapy, Xinqiao Hospital of Third Military Medical University, Chongqing, China (mainland).,Division of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, China (mainland)
| | - Shicong Zhu
- Institute of Cancer, Xinqiao Hospital of The Third Military Medical University, Chongqing, China (mainland).,Chongqing Key Laboratory of Immunotherapy, Xinqiao Hospital of Third Military Medical University, Chongqing, China (mainland)
| | - Cheng Xu
- Department of Oncology, General Hospital of The Central Theater Command of The People's Liberation Army, Wuhan, Hubei, China (mainland)
| | - Zhongyu Wang
- Institute of Cancer, Xinqiao Hospital of The Third Military Medical University, Chongqing, China (mainland).,Chongqing Key Laboratory of Immunotherapy, Xinqiao Hospital of Third Military Medical University, Chongqing, China (mainland)
| | - Xingxing Su
- Institute of Cancer, Xinqiao Hospital of The Third Military Medical University, Chongqing, China (mainland).,Chongqing Key Laboratory of Immunotherapy, Xinqiao Hospital of Third Military Medical University, Chongqing, China (mainland)
| | - Dong Zeng
- Institute of Cancer, Xinqiao Hospital of The Third Military Medical University, Chongqing, China (mainland).,Chongqing Key Laboratory of Immunotherapy, Xinqiao Hospital of Third Military Medical University, Chongqing, China (mainland)
| | - Haixia Long
- Institute of Cancer, Xinqiao Hospital of The Third Military Medical University, Chongqing, China (mainland).,Chongqing Key Laboratory of Immunotherapy, Xinqiao Hospital of Third Military Medical University, Chongqing, China (mainland)
| | - Bo Zhu
- Institute of Cancer, Xinqiao Hospital of The Third Military Medical University, Chongqing, China (mainland).,Chongqing Key Laboratory of Immunotherapy, Xinqiao Hospital of Third Military Medical University, Chongqing, China (mainland)
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13
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Low EE, Demb J, Liu L, Earles A, Bustamante R, Williams CD, Provenzale D, Kaltenbach T, Gawron AJ, Martinez ME, Gupta S. Risk Factors for Early-Onset Colorectal Cancer. Gastroenterology 2020; 159:492-501.e7. [PMID: 31926997 PMCID: PMC7343609 DOI: 10.1053/j.gastro.2020.01.004] [Citation(s) in RCA: 130] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 12/31/2019] [Accepted: 01/03/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND & AIMS Colorectal cancer (CRC) incidence and mortality are increasing among persons younger than 50 years old in the United States, but risk factors associated with early-onset CRC (EOCRC) have not been widely studied. METHODS We conducted a case-control study of US veterans 18 to 49 years old who underwent colonoscopy examinations from 1999 through 2014. EOCRC cases were identified from a national cancer registry; veterans who were free of CRC at their baseline colonoscopy through 3 years of follow-up were identified as controls. We collected data on age, sex, race/ethnicity, body weight, body mass index (BMI), diabetes, smoking status, and aspirin use. Multivariate-adjusted EOCRC odds were estimated for each factor, with corresponding 95% confidence interval (CI) values. RESULTS Our final analysis included 651 EOCRC cases and 67,416 controls. Median age was 45.3 years, and 82.3% were male. Higher proportions of cases were older, male, current smokers, nonaspirin users, and had lower BMIs, compared with controls (P < .05). In adjusted analyses, increasing age and male sex were significantly associated with increased risk of EOCRC, whereas aspirin use and being overweight or obese (relative to normal BMI) were significantly associated with decreased odds of EOCRC. In post hoc analyses, weight loss of 5 kg or more within the 5-year period preceding colonoscopy was associated with higher odds of EOCRC (odds ratio 2.23; 95% CI 1.76-2.83). CONCLUSIONS In a case-control study of veterans, we found increasing age and male sex to be significantly associated with increased risk of EOCRC, and aspirin use to be significantly associated with decreased risk; these factors also affect risk for CRC onset after age 50. Weight loss may be an early clinical sign of EOCRC. More intense efforts are required to identify the factors that cause EOCRC and signs that can be used to identify individuals at highest risk.
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Affiliation(s)
- Eric E Low
- Department of Internal Medicine, University of California San Diego, San Diego, California; Division of Gastroenterology, University of California San Diego, San Diego, California; Veteran Affairs San Diego Healthcare System, San Diego, California
| | - Joshua Demb
- Division of Gastroenterology, University of California San Diego, San Diego, California; Moores Cancer Center, University of California San Diego, La Jolla, California
| | - Lin Liu
- Veteran Affairs San Diego Healthcare System, San Diego, California; Moores Cancer Center, University of California San Diego, La Jolla, California; Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California
| | - Ashley Earles
- Veterans Medical Research Foundation, San Diego, California
| | - Ranier Bustamante
- Veteran Affairs San Diego Healthcare System, San Diego, California; Moores Cancer Center, University of California San Diego, La Jolla, California
| | - Christina D Williams
- Cooperative Studies Program Epidemiology Center, Durham, North Carolina; Durham Veterans Affairs Medical Center, Durham, North Carolina; Duke Cancer Institute, Durham, North Carolina
| | - Dawn Provenzale
- Cooperative Studies Program Epidemiology Center, Durham, North Carolina; Durham Veterans Affairs Medical Center, Durham, North Carolina; Duke Cancer Institute, Durham, North Carolina
| | - Tonya Kaltenbach
- San Francisco Veterans Affairs Medical Center, San Francisco, California; University of California San Francisco, San Francisco, California
| | - Andrew J Gawron
- Salt Lake City VA Healthcare System, Salt Lake City, Utah; University of Utah, Salt Lake City, Utah
| | - Maria Elena Martinez
- Moores Cancer Center, University of California San Diego, La Jolla, California; Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California
| | - Samir Gupta
- Department of Internal Medicine, University of California San Diego, San Diego, California; Division of Gastroenterology, University of California San Diego, San Diego, California; Veteran Affairs San Diego Healthcare System, San Diego, California; Moores Cancer Center, University of California San Diego, La Jolla, California.
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14
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Wang L, Lo CH, He X, Hang D, Wang M, Wu K, Chan AT, Ogino S, Giovannucci EL, Song M. Risk Factor Profiles Differ for Cancers of Different Regions of the Colorectum. Gastroenterology 2020; 159:241-256.e13. [PMID: 32247020 PMCID: PMC7387153 DOI: 10.1053/j.gastro.2020.03.054] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 03/11/2020] [Accepted: 03/23/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND & AIMS The molecular features of colorectal tumors differ with their anatomic location. Colorectal tumors are usually classified as proximal or distal. We collected data from 3 cohorts to identify demographic, clinical, anthropometric, lifestyle, and dietary risk factors for colorectal cancer (CRC) at 7 anatomic subsites. We examined whether the associations differ among refined subsites and whether there are trends in associations from cecum to rectum. METHODS We collected data from the Nurses' Health Study, Nurses' Health Study 2, and Health Professionals Follow-up Study (45,351 men and 178,016 women, followed for a median 23 years) on 24 risk factors in relation to risk of cancer in cecum, ascending colon, transverse colon, descending colon, sigmoid colon, rectosigmoid junction, and rectum. Hazard ratios were estimated using Cox proportional hazards regression. We tested for linear and nonlinear trends in associations with CRC among subsites and within proximal colon, distal colon, and rectum. RESULTS We documented 3058 cases of CRC (474 in cecum, 633 in ascending colon, 250 in transverse colon, 221 in descending colon, 750 in sigmoid colon, 202 in rectosigmoid junction, and 528 in rectum). The positive associations with cancer risk decreased, from cecum to rectum, for age and family history of CRC. In contrast, the inverse associations with cancer risk increased, from cecum to rectum, for endoscopic screening and intake of whole grains, cereal fiber, and processed red meat. There was a significant nonlinear trend in the association between CRC and female sex, with hazard ratios ranging from 1.73 for ascending colon cancer to 0.54 for sigmoid colon cancer. For proximal colon cancers, the association with alcohol consumption and smoking before age 30 years increased from the cecum to transverse colon. For distal colon cancers, the positive association with waist circumference in men was greater for descending vs sigmoid colon cancer. CONCLUSIONS In an analysis of 3058 cases of CRC, we found that risk factor profiles differed for cancers along the colorectum. Proximal vs distal classifications are not sufficient to encompass the regional variations in colorectal tumor features and risk factors.
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Affiliation(s)
- Liang Wang
- Center of Gastrointestinal Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Chun-Han Lo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Xiaosheng He
- Department of Colorectal Surgery, the Six Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Dong Hang
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, P.R. China
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts; Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
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15
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Amitay EL, Carr PR, Jansen L, Roth W, Alwers E, Herpel E, Kloor M, Bläker H, Chang-Claude J, Brenner H, Hoffmeister M. Smoking, alcohol consumption and colorectal cancer risk by molecular pathological subtypes and pathways. Br J Cancer 2020; 122:1604-1610. [PMID: 32225169 PMCID: PMC7250912 DOI: 10.1038/s41416-020-0803-0] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 02/24/2020] [Accepted: 03/04/2020] [Indexed: 02/06/2023] Open
Abstract
Background Smoking and alcohol increase risk for colorectal malignancies. However, colorectal cancer (CRC) is a heterogenic disease and associations with the molecular pathological pathways are unclear. Methods This population-based case–control study includes 2444 cases with first-diagnosis CRC and 2475 controls. Tumour tissue was analysed for MSI (microsatellite instability), CIMP (CpG island methylator phenotype), BRAF (B-Raf proto-oncogene serine/threonine kinase gene) and KRAS (Kirsten rat sarcoma viral oncogene homologue gene) mutations. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were estimated for associations between alcohol and smoking and CRC molecular subtypes and pathways. Results Current smoking showed higher ORs for MSI-high (OR = 2.79, 95% CI: 1.86–4.18) compared to MSS (OR = 1.41, 1.14–1.75, p-heterogeneity (p-het) = 0.001), BRAF-mutated (mut) (OR = 2.40, 1.41–4.07) compared to BRAF-wild type (wt) (OR = 1.52, 1.24–1.88, p-het = 0.074), KRAS-wt (OR = 1.70, 1.36–2.13) compared to KRAS-mut (OR = 1.26, 0.95–1.68, p-het = 0.039) and CIMP-high (OR = 2.01, 1.40–2.88) compared to CIMP-low/negative CRC (OR = 1.50, 1.22–1.85, p-het=0.101). Current smoking seemed more strongly associated with sessile serrated pathway (CIMP-high + BRAF-mut; OR = 2.39, 1.27–4.52) than with traditional pathway CRC (MSS + CIMP-low/negative + BRAF-wt; OR = 1.50, 1.16–1.94) and no association was observed with alternate pathway CRC (MSS + CIMP-low/negative + KRAS-wt; OR = 1.08, 0.77–1.43). No heterogeneity was observed in alcohol consumption association by molecular subtypes. Conclusions In this large case–control study, smoking was more strongly associated with MSI-high and KRAS-wt CRC and with cases showing features of the sessile serrated pathway. Association patterns were less clear for alcohol consumption.
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Affiliation(s)
- Efrat L Amitay
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Prudence R Carr
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lina Jansen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wilfried Roth
- Institute of Pathology, University Medical Center Mainz, Mainz, Germany.,Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Elizabeth Alwers
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - Esther Herpel
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.,NCT Tissue Bank, National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Matthias Kloor
- Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Hendrik Bläker
- Institute of Pathology, University hospital Leipzig, Leipzig, Germany
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, 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
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
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16
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McNabb S, Harrison TA, Albanes D, Berndt SI, Brenner H, Caan BJ, Campbell PT, Cao Y, Chang-Claude J, Chan A, Chen Z, English DR, Giles GG, Giovannucci EL, Goodman PJ, Hayes RB, Hoffmeister M, Jacobs EJ, Joshi A, Larsson SC, Le Marchand L, Li L, Lin Y, Männistö S, Milne RL, Nan H, Newton CC, Ogino S, Parfrey PS, Petersen PS, Potter JD, Schoen RE, Slattery ML, Su YR, Tangen CM, Tucker TC, Weinstein SJ, White E, Wolk A, Woods MO, Phipps AI, Peters U. Meta-analysis of 16 studies of the association of alcohol with colorectal cancer. Int J Cancer 2020; 146:861-873. [PMID: 31037736 PMCID: PMC6819207 DOI: 10.1002/ijc.32377] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 03/13/2019] [Indexed: 02/06/2023]
Abstract
Alcohol consumption is an established risk factor for colorectal cancer (CRC). However, while studies have consistently reported elevated risk of CRC among heavy drinkers, associations at moderate levels of alcohol consumption are less clear. We conducted a combined analysis of 16 studies of CRC to examine the shape of the alcohol-CRC association, investigate potential effect modifiers of the association, and examine differential effects of alcohol consumption by cancer anatomic site and stage. We collected information on alcohol consumption for 14,276 CRC cases and 15,802 controls from 5 case-control and 11 nested case-control studies of CRC. We compared adjusted logistic regression models with linear and restricted cubic splines to select a model that best fit the association between alcohol consumption and CRC. Study-specific results were pooled using fixed-effects meta-analysis. Compared to non-/occasional drinking (≤1 g/day), light/moderate drinking (up to 2 drinks/day) was associated with a decreased risk of CRC (odds ratio [OR]: 0.92, 95% confidence interval [CI]: 0.88-0.98, p = 0.005), heavy drinking (2-3 drinks/day) was not significantly associated with CRC risk (OR: 1.11, 95% CI: 0.99-1.24, p = 0.08) and very heavy drinking (more than 3 drinks/day) was associated with a significant increased risk (OR: 1.25, 95% CI: 1.11-1.40, p < 0.001). We observed no evidence of interactions with lifestyle risk factors or of differences by cancer site or stage. These results provide further evidence that there is a J-shaped association between alcohol consumption and CRC risk. This overall pattern was not significantly modified by other CRC risk factors and there was no effect heterogeneity by tumor site or stage.
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Affiliation(s)
- Sarah McNabb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Tabitha A. Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, Deutsches Krebsforschungszentrum, 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
| | - Bette J. Caan
- Division of Research, Kaiser Permanente Medical Research Program, Oakland, CA
| | - Peter T. Campbell
- Epidemiology Research Program, American Cancer Society, New York, NY
| | - Yin Cao
- Division of Public Health Sciences, Washington University in St Louis, St. Louis, MO
| | - Jenny Chang-Claude
- Unit of Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Andrew Chan
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Zhengyi Chen
- Center for Community Health Integration, Case Western Reserve University School of Medicine, Cleveland, OH
| | - Dallas R. English
- Centre for Epidemiology and Biostatistics, School of Population & Global Health, University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Center, The Cancer Council Victoria, Melbourne, VIC, Australia
| | - Graham G. Giles
- Centre for Epidemiology and Biostatistics, School of Population & Global Health, University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Center, The Cancer Council Victoria, Melbourne, VIC, Australia
| | - Edward L. Giovannucci
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology and Nutrition, Harvard School of Public Health, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Phyllis J. Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Richard B. Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Eric J. Jacobs
- Epidemiology Research Program, American Cancer Society, New York, NY
| | - AmitD. Joshi
- Department of Epidemiology, Harvard School of Public Health, Boston, MA
- Department of Medicine, Massachusetts General Hospital, Boston, MA
| | - Susanna C. Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Solna, Sweden
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Satu Männistö
- Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Roger L. Milne
- Centre for Epidemiology and Biostatistics, School of Population & Global Health, University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Hongmei Nan
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN
- Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN
| | - Christina C. Newton
- Behavioral and Epidemiology Research Group, American Cancer Society, New York, NY
| | - Shuji Ogino
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Broad Institute of MIT and Harvard, Cambridge, MA
| | - Patrick S. Parfrey
- Clinical Epidemiology Unit, Memorial University Faculty of Medicine, St. John's, NL, Canada
| | | | - John D. Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
- Centre for Public Health Research, Massey University, Wellington, New Zealand
| | - Robert E. Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Hermitage, PA
| | - Martha L. Slattery
- Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Catherine M. Tangen
- Public Health Sciences Division, Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Thomas C. Tucker
- Markey Cancer Center, Lexington, KY
- Department of Epidemiology, University of Kentucky, Lexington, KY
| | | | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Solna, Sweden
- Department of Surgical Sciences, Unity of Orthopedics, Uppsala University, Uppsala, Sweden
| | - Michael O. Woods
- Discipline of Genetics, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Amanda I. Phipps
- Public Health Sciences Division, Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
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17
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Pandey P, Yang Z, Shibata D, Marjoram P, Siegmund KD. Mutational signatures in colon cancer. BMC Res Notes 2019; 12:788. [PMID: 31796096 PMCID: PMC6889194 DOI: 10.1186/s13104-019-4820-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 11/21/2019] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE Recently, many tumor sequencing studies have inferred and reported on mutational signatures, short nucleotide patterns at which particular somatic base substitutions appear more often. A number of signatures reflect biological processes in the patient and factors associated with cancer risk. Our goal is to infer mutational signatures appearing in colon cancer, a cancer for which environmental risk factors vary by cancer subtype, and compare the signatures to those in adult stem cells from normal colon. We also compare the mutational signatures to others in the literature. RESULTS We apply a probabilistic mutation signature model to somatic mutations previously reported for six adult normal colon stem cells and 431 colon adenocarcinomas. We infer six mutational signatures in colon cancer, four being specific to tumors with hypermutation. Just two signatures explained the majority of mutations in the small number of normal aging colon samples. All six signatures are independently identified in a series of 295 Chinese colorectal cancers.
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Affiliation(s)
- Priyatama Pandey
- Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Zhi Yang
- Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Darryl Shibata
- Department of Pathology, Keck School of Medicine of the University of Southern California, 2011 Zonal Ave, Los Angeles, CA 90033 USA
| | - Paul Marjoram
- Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Kimberly D. Siegmund
- Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
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18
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Carr PR, Alwers E, Bienert S, Weberpals J, Kloor M, Brenner H, Hoffmeister M. Lifestyle factors and risk of sporadic colorectal cancer by microsatellite instability status: a systematic review and meta-analyses. Ann Oncol 2019; 29:825-834. [PMID: 29438474 DOI: 10.1093/annonc/mdy059] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Introduction The association of lifestyle factors with molecular pathological subtypes of colorectal cancer (CRC), such as microsatellite instability (MSI), could provide further knowledge about the colorectal carcinogenic process. The aim of this review was to evaluate possible associations between lifestyle factors and risk of sporadic CRC by MSI status. Methods PubMed and Web of Science were searched for studies investigating the association between alcohol, body mass index, dietary fiber, hormone replacement therapy (HRT), non-steroidal anti-inflammatory drugs, physical activity, red meat, smoking, or statin use, with MSI-high (MSI-H) and microsatellite stable (MSS) CRC. Meta-analyses were carried out to calculate summary relative risks (sRR). Results Overall, 31 studies reporting on the association between lifestyle factors and CRC according to MSI status were included in this review. Ever smoking was associated with MSI-H (sRR = 1.62; 95% CI: 1.40-1.88) and MSS/MSI-low CRC (sRR = 1.10; 95% CI: 1.01-1.20), but the association was significantly stronger for MSI-H CRC. The use of HRT was associated with a 20% decrease (sRR = 0.80; 95% CI: 0.73-0.89) in the risk of MSS CRC, but was not associated with MSI-H CRC. An increase in body mass index per 5 kg/m2 was equally associated with MSS and MSI-H CRC (sRR = 1.22, in both cases), but was statistically significant for MSS CRC only (95% CI: 1.11-1.34 and 0.94-1.58, respectively). Limited evidence for associations between other lifestyle factors and CRC by MSI status exists. Conclusions Lifestyle factors, such as HRT and smoking are differentially associated with the risk of MSI-H and MSS CRC. Further research on associations of lifestyle factors and CRC subtypes is necessary to provide a better understanding of the CRC disease pathway.
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Affiliation(s)
- P R Carr
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - E Alwers
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - S Bienert
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - J Weberpals
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - M Kloor
- Department of Applied Tumor Biology, Institute of Pathology, University of Heidelberg, Heidelberg, Germany
| | - H 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
| | - M Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
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19
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Demb J, Earles A, Martínez ME, Bustamante R, Bryant AK, Murphy JD, Liu L, Gupta S. Risk factors for colorectal cancer significantly vary by anatomic site. BMJ Open Gastroenterol 2019; 6:e000313. [PMID: 31523441 PMCID: PMC6711437 DOI: 10.1136/bmjgast-2019-000313] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Revised: 07/03/2019] [Accepted: 07/20/2019] [Indexed: 02/06/2023] Open
Abstract
Objective To conduct an anatomic site-specific case–control study of candidate colorectal cancer (CRC) risk factors. Design Case–control study of US veterans with >1 colonoscopy during 1999–2011. Cases had cancer registry-identified CRC at colonoscopy, while controls were CRC free at colonoscopy and within 3 years of colonoscopy. Primary outcome was CRC, stratified by anatomic site: proximal, distal, or rectal. Candidate risk factors included age, sex, race/ethnicity, body mass index, height, diabetes, smoking status, and aspirin exposure summarised by adjusted ORs and 95% CIs. Results 21 744 CRC cases (n=7017 rectal; n=7039 distal; n=7688 proximal) and 612 646 controls were included. Males had significantly higher odds relative to females for rectal cancer (OR=2.84, 95% CI 2.25 to 3.58) than distal cancer (OR=1.84, 95% CI 1.50 to 2.24). Relative to whites, blacks had significantly lower rectal cancer odds (OR=0.88, 95% CI 0.82 to 0.95), but increased distal (OR=1.27, 95% CI 1.19 to 1.37) and proximal odds (OR=1.62, 95% CI 1.52 to 1.72). Diabetes prevalence was more strongly associated with proximal (OR=1.29, 95% CI 1.22 to 1.36) than distal (OR=1.15, 95% CI 1.08 to 1.22) or rectal cancer (OR=1.12, 95% CI 1.06 to 1.19). Current smoking was more strongly associated with rectal cancer (OR=1.81, 95% CI 1.68 to 1.95) than proximal cancer (OR=1.53, 95% CI 1.43 to 1.65) or distal cancer (OR=1.46, 95% CI 1.35 to 1.57) compared with never smoking. Aspirin use was significantly more strongly associated with reduced rectal cancer odds (OR=0.71, 95% CI 0.67 to 0.76) than distal (OR=0.85, 95% CI 0.81 to 0.90) or proximal (OR=0.91, 95% CI 0.86 to 0.95). Conclusion Candidate CRC risk factor associations vary significantly by anatomic site. Accounting for site may enable better insights into CRC pathogenesis and cancer control strategies.
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Affiliation(s)
- Joshua Demb
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
| | - Ashley Earles
- Department of Research, VA San Diego Healthcare System, San Diego, California, USA
| | - María Elena Martínez
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA.,Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, United States
| | - Ranier Bustamante
- Department of Research, VA San Diego Healthcare System, San Diego, California, USA
| | - Alex K Bryant
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
| | - James D Murphy
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
| | - Lin Liu
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA.,Department of Research, VA San Diego Healthcare System, San Diego, California, USA.,Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, United States
| | - Samir Gupta
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA.,Veterans Affairs San Diego Healthcare System, San Diego, CA, United States.,Department of Medicine, Division of Gastroenterology, University of California San Diego, La Jolla, CA, United States
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20
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Abasse Kassim S, Tang W, Abbas M, Wu S, Meng Q, Zhang C, Li X, Chen R. Clinicopathologic and epidemiological characteristics of prognostic factors in post-surgical survival of colorectal cancer patients in Jiangsu Province, China. Cancer Epidemiol 2019; 62:101565. [PMID: 31323459 DOI: 10.1016/j.canep.2019.07.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 05/30/2019] [Accepted: 07/07/2019] [Indexed: 12/28/2022]
Abstract
Poor survival among colorectal cancer (CRC) patients has been widely associated with clinico-epidemiological features and treatment regimen. In Jiangsu (China), however, it is not known which one of the prognostic factors explains the survival disparities among patients with CRC. This prospective study using 1078 patients (stages I-IV) that underwent surgery at Jiangsu Hospital, explored the relevant factors affecting the prognoses of right-side colon cancer (RCC), left-side colon cancer (LCC) and rectal cancer (ReC) patients. Of these cases, 234 (21.7%), 241 (22.4%) and 603 (55.9%) were found to have RCC, LCC and ReC respectively. Compared to LCC, RCC exhibited a greater proportion of older patients, poorly differentiated carcinomas, higher T-stage and higher TNM-stage. The overall survival (OS) for RCC was 60 vs.78 or 77 months for LCC or ReC respectively (P = 0.030). There were no significant differences in OS between LCC and ReC across the subgroups (P = 0.633). In multivariate analysis, RCC patients had age (>60 vs. ≤60 years, HR = 1.529, P = 0.019), N-stage (N1 vs. N0, HR = 4.056, P = 0.012) and M-stage (M1 vs. M0, HR = 3.442, P < 0.0001) as independent prognostic factors, whereas smoking status was found to be a predictor of mortality (smoker vs. nonsmoker, HR = 2.343, P = 0.017) for LCC. In addition, age (>60 vs. ≤60 years, HR = 2.199, P < 0.0001), alcohol consumption (drinker vs. nondrinker, HR = 0.510, P = 0.034), tumor grade (Poor vs. well/moderate, HR = 2.759, P = 0.031) and T-stage (T3-4 vs. T1-2, HR = 1.742, P < 0.0001) were found to be predictors of mortality for ReC. There were significant pairwise interactions across subgroups. Furthermore, significant differences were observed for LCC vs. RCC (OS, HR = 0.783, P = 0.039), but no statistically significant differences for ReC vs. RCC (P = 0.149) and LCC vs. ReC (P = 0.355). Nevertheless, significant differences remained between ReC vs. RCC for male (HR = 0.591, P = 0.009), drinker (HR = 0.396, P = 0.005), rural resident (HR = 0.437,P = 0.022), tumor grade (well/moderate, HR = 0.475, P = 0.022), T-stage (T1-2, HR = 0.362, P = 0.001), N-stage (N0, HR = 0.604, P = 0.011), M-stage(M0, HR = 0.401, P = 0.006) and TNM-stage (I-II, HR = 0.567, P = 0.005). Statistically significant differences were observed for LCC vs. RCC for gender (female, HR = 0.495, P = 0.003) and T-stage (T1-2, HR = 0.417, P = 0.010) as well as for LCC vs. ReC in patients with smoking habits (HR = 1.951, P = 0.002) and M-stage (M0, HR = 2.291, P = 0.003). These findings suggest that the variations in CRC post-surgical survival in China may be primarily explained with the clinicopathologic features and epidemiological characteristic of the patients. Patients with RCC had significantly worse OS compared to both LCC and ReC in several subgroups.
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Affiliation(s)
- Said Abasse Kassim
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Weiyan Tang
- Department of Medical Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Affiliated Cancer Hospital of Nanjing Medical University, Nanjing China
| | - Muhammad Abbas
- Department of Medical Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Affiliated Cancer Hospital of Nanjing Medical University, Nanjing China; State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing 210023, China
| | - Shenzhen Wu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Qingdao Meng
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Chengcheng Zhang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Xiaobo Li
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Rui Chen
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China; State Key Laboratory of Bioelectronics, Southeast University, Nanjing, China.
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21
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Crockett SD. Don't Smoke 'em if You Got 'em: Tobacco Exposure Increases Risk of Serrated Polyps. Clin Gastroenterol Hepatol 2019; 17:1441-1443. [PMID: 30743008 DOI: 10.1016/j.cgh.2019.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 02/05/2019] [Indexed: 02/07/2023]
Affiliation(s)
- Seth D Crockett
- Division of Gastroenterology and Hepatology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
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22
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Hamada T, Nowak JA, Masugi Y, Drew DA, Song M, Cao Y, Kosumi K, Mima K, Twombly TS, Liu L, Shi Y, da Silva A, Gu M, Li W, Nosho K, Keum N, Giannakis M, Meyerhardt JA, Wu K, Wang M, Chan AT, Giovannucci EL, Fuchs CS, Nishihara R, Zhang X, Ogino S. Smoking and Risk of Colorectal Cancer Sub-Classified by Tumor-Infiltrating T Cells. J Natl Cancer Inst 2019; 111:42-51. [PMID: 30312431 PMCID: PMC6335108 DOI: 10.1093/jnci/djy137] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 07/10/2018] [Indexed: 02/06/2023] Open
Abstract
Background Evidence indicates not only carcinogenic effect of cigarette smoking but also its immunosuppressive effect. We hypothesized that the association of smoking with colorectal cancer risk might be stronger for tumors with lower anti-tumor adaptive immune response. Methods During follow-up of 134 981 participants (3 490 851 person-years) in the Nurses' Health Study and Health Professionals Follow-up Study, we documented 729 rectal and colon cancer cases with available data on T-cell densities in tumor microenvironment. Using the duplication-method Cox regression model, we examined a differential association of smoking status with risk of colorectal carcinoma subclassified by densities of CD3+ cells, CD8+ cells, CD45RO (PTPRC)+ cells, or FOXP3+ cells. All statistical tests were two-sided. Results The association of smoking status with colorectal cancer risk differed by CD3+ cell density (Pheterogeneity = .007). Compared with never smokers, multivariable-adjusted hazard ratios for CD3+ cell-low colorectal cancer were 1.38 (95% confidence interval = 1.09 to 1.75) in former smokers and 1.59 (95% confidence interval = 1.14 to 2.23) in current smokers (Ptrend = .002, across smoking status categories). In contrast, smoking status was not associated with CD3+ cell-high cancer risk (Ptrend = .52). This differential association appeared consistent in strata of microsatellite instability, CpG island methylator phenotype, or BRAF mutation status. There was no statistically significant differential association according to densities of CD8+ cells, CD45RO+ cells, or FOXP3+ cells (Pheterogeneity > .04, with adjusted α of 0.01). Conclusions Colorectal cancer risk increased by smoking was stronger for tumors with lower T-lymphocyte response, suggesting an interplay of smoking and immunity in colorectal carcinogenesis.
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Affiliation(s)
| | - Jonathan A Nowak
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
- Program in Molecular Pathological Epidemiology, Department of Pathology
| | | | - David A Drew
- Clinical and Translational Epidemiology Unit, and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Mingyang Song
- Clinical and Translational Epidemiology Unit, and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
- Department of Nutrition
| | - Yin Cao
- Clinical and Translational Epidemiology Unit, and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
- Department of Nutrition
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO
| | | | - Kosuke Mima
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
| | | | - Li Liu
- Department of Oncologic Pathology
- Department of Nutrition
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO
- Department of Epidemiology and Biostatistics, and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Hubei, P.R. China
| | - Yan Shi
- Department of Oncologic Pathology
- Department of Medical Oncology, Chinese PLA General Hospital, Beijing, P.R. China
| | | | - Mancang Gu
- Department of Oncologic Pathology
- College of Pharmacy, Zhejiang Chinese Medical University, Zhejiang, P.R. China
| | | | - Katsuhiko Nosho
- Department of Gastroenterology, Rheumatology, and Clinical Immunology, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - NaNa Keum
- Department of Nutrition
- Department of Food Science and Biotechnology, Dongguk University, Goyang, the Republic of Korea
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
- Department of Medicine, and Channing Division of Network Medicine
- Broad Institute of MIT and Harvard, Cambridge, MA
| | | | - Kana Wu
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Department of Nutrition
- Department of Epidemiology
| | - Molin Wang
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Andrew T Chan
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Clinical and Translational Epidemiology Unit, and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Edward L Giovannucci
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Department of Nutrition
- Department of Epidemiology
| | - Charles S Fuchs
- Yale Cancer Center, New Haven, CT
- Department of Medicine, Yale School of Medicine, New Haven, CT
- Smilow Cancer Hospital, New Haven, CT
| | - Reiko Nishihara
- Department of Oncologic Pathology
- Program in Molecular Pathological Epidemiology, Department of Pathology
- Department of Nutrition
- Department of Epidemiology
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Xuehong Zhang
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Shuji Ogino
- Department of Oncologic Pathology
- Program in Molecular Pathological Epidemiology, Department of Pathology
- Department of Epidemiology
- Broad Institute of MIT and Harvard, Cambridge, MA
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23
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Ogino S, Nowak JA, Hamada T, Phipps AI, Peters U, Milner DA, Giovannucci EL, Nishihara R, Giannakis M, Garrett WS, Song M. Integrative analysis of exogenous, endogenous, tumour and immune factors for precision medicine. Gut 2018; 67:1168-1180. [PMID: 29437869 PMCID: PMC5943183 DOI: 10.1136/gutjnl-2017-315537] [Citation(s) in RCA: 128] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Revised: 01/02/2018] [Accepted: 01/05/2018] [Indexed: 12/14/2022]
Abstract
Immunotherapy strategies targeting immune checkpoints such as the CTLA4 and CD274 (programmed cell death 1 ligand 1, PD-L1)/PDCD1 (programmed cell death 1, PD-1) T-cell coreceptor pathways are revolutionising oncology. The approval of pembrolizumab use for solid tumours with high-level microsatellite instability or mismatch repair deficiency by the US Food and Drug Administration highlights promise of precision immuno-oncology. However, despite evidence indicating influences of exogenous and endogenous factors such as diet, nutrients, alcohol, smoking, obesity, lifestyle, environmental exposures and microbiome on tumour-immune interactions, integrative analyses of those factors and immunity lag behind. Immune cell analyses in the tumour microenvironment have not adequately been integrated into large-scale studies. Addressing this gap, the transdisciplinary field of molecular pathological epidemiology (MPE) offers research frameworks to integrate tumour immunology into population health sciences, and link the exposures and germline genetics (eg, HLA genotypes) to tumour and immune characteristics. Multilevel research using bioinformatics, in vivo pathology and omics (genomics, epigenomics, transcriptomics, proteomics and metabolomics) technologies is possible with use of tissue, peripheral blood circulating cells, cell-free plasma, stool, sputum, urine and other body fluids. This immunology-MPE model can synergise with experimental immunology, microbiology and systems biology. GI neoplasms represent exemplary diseases for the immunology-MPE model, given rich microbiota and immune tissues of intestines, and the well-established carcinogenic role of intestinal inflammation. Proof-of-principle studies on colorectal cancer provided insights into immunomodulating effects of aspirin, vitamin D, inflammatory diets and omega-3 polyunsaturated fatty acids. The integrated immunology-MPE model can contribute to better understanding of environment-tumour-immune interactions, and effective immunoprevention and immunotherapy strategies for precision medicine.
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Affiliation(s)
- 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, Harvard Medical School, Boston, Massachusetts, USA,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA
| | - Jonathan A Nowak
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Tsuyoshi Hamada
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA,Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA,Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Danny A Milner
- American Society for Clinical Pathology, Chicago, Illinois, USA
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA,Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Reiko Nishihara
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Marios Giannakis
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA,Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA,Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Wendy S Garrett
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA,Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA,Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Mingyang Song
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA,Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA,Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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24
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Jayasekara H, English DR, Haydon A, Hodge AM, Lynch BM, Rosty C, Williamson EJ, Clendenning M, Southey MC, Jenkins MA, Room R, Hopper JL, Milne RL, Buchanan DD, Giles GG, MacInnis RJ. Associations of alcohol intake, smoking, physical activity and obesity with survival following colorectal cancer diagnosis by stage, anatomic site and tumor molecular subtype. Int J Cancer 2018; 142:238-250. [PMID: 28921583 DOI: 10.1002/ijc.31049] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2017] [Revised: 08/13/2017] [Accepted: 09/01/2017] [Indexed: 01/11/2023]
Abstract
The influence of lifestyle factors on survival following a diagnosis of colorectal cancer (CRC) is not well established. We examined associations between lifestyle factors measured before diagnosis and CRC survival. The Melbourne Collaborative Cohort Study collected data on alcohol intake, cigarette smoking and physical activity, and body measurements at baseline (1990-1994) and wave 2 (2003-2007). We included participants diagnosed to 31 August 2015 with incident stages I-III CRC within 10-years post exposure assessment. Information on tumor characteristics and vital status was obtained. Tumor DNA was tested for microsatellite instability (MSI) and somatic mutations in oncogenes BRAF (V600E) and KRAS. We estimated hazard ratios (HRs) for associations between lifestyle factors and overall and CRC-specific mortality using Cox regression. Of 724 eligible CRC cases, 339 died (170 from CRC) during follow-up (average 9.0 years). Exercise (non-occupational/leisure-time) was associated with higher CRC-specific survival for stage II (HR = 0.25, 95% CI: 0.10-0.60) but not stages I/III disease (p for interaction = 0.01), and possibly for colon and KRAS wild-type tumors. Waist circumference was inversely associated with CRC-specific survival (HR = 1.25 per 10 cm increment, 95% CI: 1.08-1.44), independent of stage, anatomic site and tumor molecular status. Cigarette smoking was associated with lower overall survival, with suggestive evidence of worse survival for BRAF mutated CRC, but not with CRC-specific survival. Alcohol intake was not associated with survival. Survival did not differ by MSI status. We have identified pre-diagnostic predictors of survival following CRC that may have clinical and public health relevance.
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Affiliation(s)
- Harindra Jayasekara
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, Vic, Australia
- Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, Vic, Australia
- Centre for Alcohol Policy Research, La Trobe University, 215 Franklin Street, Melbourne, Vic, Australia
| | - Dallas R English
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, Vic, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Vic, Australia
| | - Andrew Haydon
- Department of Medical Oncology, Alfred Hospital, 55 Commercial Road, Melbourne, Vic, Australia
| | - Allison M Hodge
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, Vic, Australia
| | - Brigid M Lynch
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, Vic, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Vic, Australia
- Physical Activity Laboratory, Baker IDI Heart and Diabetes Institute, 75 Commercial Road, Melbourne, Vic, Australia
| | - Christophe Rosty
- Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, Vic, Australia
- Envoi Specialist Pathologists, Brisbane, QLD, Australia
- School of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Elizabeth J Williamson
- Farr Institute of Health Informatics Research, London, United Kingdom
- Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Mark Clendenning
- Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, Vic, Australia
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, Vic, Australia
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Vic, Australia
| | - Robin Room
- Centre for Alcohol Policy Research, La Trobe University, 215 Franklin Street, Melbourne, Vic, Australia
- Centre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Vic, Australia
- Centre for Social Research on Alcohol and Drugs, Stockholm University, Stockholm, SE, Sweden
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Vic, Australia
| | - Roger L Milne
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, Vic, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Vic, Australia
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, Vic, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Vic, Australia
- Genetic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Melbourne, Vic, Australia
| | - Graham G Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, Vic, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Vic, Australia
| | - Robert J MacInnis
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, Vic, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Vic, Australia
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25
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Dubey AP, Vishwanath S, Nikhil P, Rathore A, Pathak A, Kumar R. Microsatellite Instability in Stage II and III Colorectal Cancer: Patterns and Profile. Indian J Med Paediatr Oncol 2018. [DOI: 10.4103/ijmpo.ijmpo_35_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Abstract
Introduction: Around 80% of colorectal carcinoma are associated with chromosomal instability while rest of 20% are euploid, possessing defect in mismatch repair system (MMR) quintessential for surveillance and correction of errors introduced into microsatellites. The microsatellite instability (MSI) phenotype has three major clinical applications: prognosis of colorectal cancer (CRC), prediction of response to 5 fluorouracil, and irinotecan, and genetic assessment of Lynch syndrome. Materials and Methods: We analyzed all Stage II and Stage III colorectal cancer (CRC) for MSI, who presented at Army Hospital, Research and Referral, New Delhi, from January 2014 to December 2016. Although patients of Stage II CRC were taken throughout the study period, Stage III CRC was included in last 1½ years to compare the prevalence of MSI in these two subsets of patients. Results: 26.2% of Stage II and 11.3% of Stage III patients were found to be MSI-high (MSI-H) (P = 0.04). Nineteen (86%) of 22 MSI-H patients were below 30 years of age (P = 0.01). Of 22 MSI-H patients, 18 had right-sided tumors (P = 0.03) and only three patients had rectal tumors. Most common pattern of MSI-H tumors was loss of expression of MLH1 and PMS2, seen in 15 of 16 (88%) of Stage II and three of 6 (50%) of Stage III CRC (P = 0.04). Conclusion: We conclude higher prevalence of MSI-H tumors in Stage II, as compared to Stage III CRC, which was demonstrated slightly higher in our study compared to published literature. MSI-H tumors tend to occur with high frequency in younger population, with right-sided colonic tumors, histopathology characterized by mucinous subtype with high prevalence of tumor infiltrating lymphocytes. Loss of expression of two MMR proteins, namely, PMS2 and MLH1 has been identified in most of MSI-H patients of our study, of which 86% were <30 years of age. This is in contrast to observation in previous studies where loss of PMS2 and MLH1 proteins was observed in older (>70 years) patients with MSI-H tumors, and in younger patients, MSI-H status was associated with loss of MLH1, MSH2, and MSH6.
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Affiliation(s)
- A P Dubey
- Department of Medical Oncology, Army Hospital Research and Referral, New Delhi, India
| | - S Vishwanath
- Department of Medical Oncology, Army Hospital Research and Referral, New Delhi, India
| | - P Nikhil
- Department of Medical Oncology, Army Hospital Research and Referral, New Delhi, India
| | - Anvesh Rathore
- Department of Medical Oncology, Army Hospital Research and Referral, New Delhi, India
| | - Abhishek Pathak
- Department of Medical Oncology, Army Hospital Research and Referral, New Delhi, India
| | - Rakesh Kumar
- Department of Radiodiagnosis, Army Hospital Research and Referral, New Delhi, India
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26
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Lifestyle, Diet, and Colorectal Cancer Risk According to (Epi)genetic Instability: Current Evidence and Future Directions of Molecular Pathological Epidemiology. CURRENT COLORECTAL CANCER REPORTS 2017; 13:455-469. [PMID: 29249914 PMCID: PMC5725509 DOI: 10.1007/s11888-017-0395-0] [Citation(s) in RCA: 86] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Purpose of Review In this review, we describe molecular pathological epidemiology (MPE) studies from around the world that have studied diet and/or lifestyle factors in relation to molecular markers of (epi)genetic pathways in colorectal cancer (CRC), and explore future perspectives in this realm of research. The main focus of this review is diet and lifestyle factors for which there is evidence for an association with CRC as identified by the World Cancer Research Fund reports. In addition, we review promising hypotheses, that warrant consideration in future studies. Recent Findings Associations between molecular characteristics of CRC have been published in relation to smoking, alcohol consumption; body mass index (BMI); waist:hip ratio; adult attained height; physical activity; early life energy restriction; dietary acrylamide, fiber, fat, methyl donors, omega 3 fatty acids; meat, including total protein, processed meat, and heme iron; and fruit and vegetable intake. Summary MPE studies help identify where associations between diet, lifestyle, and CRC risk may otherwise be masked and also shed light on how timing of exposure can influence etiology. Sample size is often an issue, but this may be addressed in the future by pooling data.
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27
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Sharafeldin N, Slattery ML, Liu Q, Franco-Villalobos C, Caan BJ, Potter JD, Yasui Y. Multiple Gene-Environment Interactions on the Angiogenesis Gene-Pathway Impact Rectal Cancer Risk and Survival. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14101146. [PMID: 28956832 PMCID: PMC5664647 DOI: 10.3390/ijerph14101146] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2017] [Revised: 09/06/2017] [Accepted: 09/23/2017] [Indexed: 12/25/2022]
Abstract
Characterization of gene-environment interactions (GEIs) in cancer is limited. We aimed at identifying GEIs in rectal cancer focusing on a relevant biologic process involving the angiogenesis pathway and relevant environmental exposures: cigarette smoking, alcohol consumption, and animal protein intake. We analyzed data from 747 rectal cancer cases and 956 controls from the Diet, Activity and Lifestyle as a Risk Factor for Rectal Cancer study. We applied a 3-step analysis approach: first, we searched for interactions among single nucleotide polymorphisms on the pathway genes; second, we searched for interactions among the genes, both steps using Logic regression; third, we examined the GEIs significant at the 5% level using logistic regression for cancer risk and Cox proportional hazards models for survival. Permutation-based test was used for multiple testing adjustment. We identified 8 significant GEIs associated with risk among 6 genes adjusting for multiple testing: TNF (OR = 1.85, 95% CI: 1.10, 3.11), TLR4 (OR = 2.34, 95% CI: 1.38, 3.98), and EGR2 (OR = 2.23, 95% CI: 1.04, 4.78) with smoking; IGF1R (OR = 1.69, 95% CI: 1.04, 2.72), TLR4 (OR = 2.10, 95% CI: 1.22, 3.60) and EGR2 (OR = 2.12, 95% CI: 1.01, 4.46) with alcohol; and PDGFB (OR = 1.75, 95% CI: 1.04, 2.92) and MMP1 (OR = 2.44, 95% CI: 1.24, 4.81) with protein. Five GEIs were associated with survival at the 5% significance level but not after multiple testing adjustment: CXCR1 (HR = 2.06, 95% CI: 1.13, 3.75) with smoking; and KDR (HR = 4.36, 95% CI: 1.62, 11.73), TLR2 (HR = 9.06, 95% CI: 1.14, 72.11), EGR2 (HR = 2.45, 95% CI: 1.42, 4.22), and EGFR (HR = 6.33, 95% CI: 1.95, 20.54) with protein. GEIs between angiogenesis genes and smoking, alcohol, and animal protein impact rectal cancer risk. Our results support the importance of considering the biologic hypothesis to characterize GEIs associated with cancer outcomes.
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Affiliation(s)
- Noha Sharafeldin
- School of Public Health, University of Alberta, Edmonton, AB T6G 2R3, Canada.
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT 84132, USA.
| | - Qi Liu
- School of Public Health, University of Alberta, Edmonton, AB T6G 2R3, Canada.
| | | | - Bette J Caan
- Division of Research, Kaiser Permanente Medical Care Program, Oakland, CA 94612, USA.
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, USA.
- Centre for Public Health Research, Massey University, P.O. Box 756, Wellington 6140, New Zealand.
| | - Yutaka Yasui
- School of Public Health, University of Alberta, Edmonton, AB T6G 2R3, Canada.
- Department of Epidemiology & Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
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28
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Ricker CN, Hanna DL, Peng C, Nguyen NT, Stern MC, Schmit SL, Idos GE, Patel R, Tsai S, Ramirez V, Lin S, Shamasunadara V, Barzi A, Lenz HJ, Figueiredo JC. DNA mismatch repair deficiency and hereditary syndromes in Latino patients with colorectal cancer. Cancer 2017. [PMID: 28640387 PMCID: PMC5610604 DOI: 10.1002/cncr.30790] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND The landscape of hereditary syndromes and clinicopathologic characteristics among US Latino/Hispanic individuals with colorectal cancer (CRC) remains poorly understood. METHODS A total of 265 patients with CRC who were enrolled in the Hispanic Colorectal Cancer Study were included in the current study. Information regarding CRC risk factors was elicited through interviews, and treatment and survival data were abstracted from clinical charts. Tumor studies and germline genetic testing results were collected from medical records or performed using standard molecular methods. RESULTS The mean age of the patients at the time of diagnosis was 53.7 years (standard deviation, 10.3 years), and 48.3% were female. Overall, 21.2% of patients reported a first‐degree or second‐degree relative with CRC; 3.4% met Amsterdam I/II criteria. With respect to Bethesda guidelines, 38.5% of patients met at least 1 criterion. Of the 161 individuals who had immunohistochemistry and/or microsatellite instability testing performed, 21 (13.0%) had mismatch repair (MMR)‐deficient (dMMR) tumors. dMMR tumors were associated with female sex (61.9%), earlier age at the time of diagnosis (50.4 ± 12.4 years), proximal location (61.9%), and first‐degree (23.8%) or second‐degree (9.5%) family history of CRC. Among individuals with dMMR tumors, 13 (61.9%) had a germline MMR mutation (MutL homolog 1 [MLH1] in 6 patients; MutS homolog 2 [MSH2] in 4 patients; MutS homolog 6 [MHS6] in 2 patients; and PMS1 homolog 2, mismatch repair system component [PMS2] in 1 patient). The authors identified 2 additional MLH1 mutation carriers by genetic testing who had not received immunohistochemistry/microsatellite instability testing. In total, 5.7% of the entire cohort were confirmed to have Lynch syndrome. In addition, 6 individuals (2.3%) had a polyposis phenotype. CONCLUSIONS The percentage of dMMR tumors noted among Latino individuals (13%) is similar to estimates in non‐Hispanic white individuals. In the current study, the majority of individuals with dMMR tumors were confirmed to have Lynch syndrome. Cancer 2017. © 2017 The Authors. Cancer published by Wiley Periodicals, Inc. on behalf of American Cancer Society. Cancer 2017;123:3732–3743. © 2017 American Cancer Society The landscape of hereditary syndromes and clinicopathologic characteristics among Latino/Hispanic individuals in the United States with colorectal cancer remains poorly understood. Using data from the Hispanic Colorectal Cancer Study, approximately 13% of cases in the current study appear to have mismatch repair‐deficient tumors, 61.9% of which will be confirmed to have Lynch syndrome.
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Affiliation(s)
- Charité N Ricker
- Department of Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Diana L Hanna
- Department of Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Cheng Peng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Nathalie T Nguyen
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Mariana C Stern
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Stephanie L Schmit
- Department of Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.,Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.,Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida.,Department of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, Florida
| | - Greg E Idos
- Department of Medicine, Division of Gastrointestinal and Liver Disease, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Ravi Patel
- Department of Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Steven Tsai
- Department of Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Veronica Ramirez
- Department of Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Sonia Lin
- Department of Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Vinay Shamasunadara
- Department of Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Afsaneh Barzi
- Department of Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Heinz-Josef Lenz
- Department of Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Jane C Figueiredo
- Department of Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.,Department of Preventive Medicine, 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
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Jayasekara H, MacInnis RJ, Williamson EJ, Hodge AM, Clendenning M, Rosty C, Walters R, Room R, Southey MC, Jenkins MA, Milne RL, Hopper JL, Giles GG, Buchanan DD, English DR. Lifetime alcohol intake is associated with an increased risk of KRAS+ and BRAF-/KRAS- but not BRAF+ colorectal cancer. Int J Cancer 2017; 140:1485-1493. [PMID: 27943267 DOI: 10.1002/ijc.30568] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 10/14/2016] [Accepted: 11/24/2016] [Indexed: 12/16/2022]
Abstract
Ethanol in alcoholic beverages is a causative agent for colorectal cancer. Colorectal cancer is a biologically heterogeneous disease, and molecular subtypes defined by the presence of somatic mutations in BRAF and KRAS are known to exist. We examined associations between lifetime alcohol intake and molecular and anatomic subtypes of colorectal cancer. We calculated usual alcohol intake for 10-year periods from age 20 using recalled frequency and quantity of beverage-specific consumption for 38,149 participants aged 40-69 years from the Melbourne Collaborative Cohort Study. Cox regression was performed to derive hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between lifetime alcohol intake and colorectal cancer risk. Heterogeneity in the HRs across subtypes of colorectal cancer was assessed. A positive dose-dependent association between lifetime alcohol intake and overall colorectal cancer risk (mean follow-up = 14.6 years; n = 596 colon and n = 326 rectal cancer) was observed (HR = 1.08, 95% CI: 1.04-1.12 per 10 g/day increment). The risk was greater for rectal than colon cancer (phomogeneity = 0.02). Alcohol intake was associated with increased risks of KRAS+ (HR = 1.07, 95% CI: 1.00-1.15) and BRAF-/KRAS- (HR = 1.05, 95% CI: 1.00-1.11) but not BRAF+ tumors (HR = 0.89, 95% CI: 0.78-1.01; phomogeneity = 0.01). Alcohol intake is associated with an increased risk of KRAS+ and BRAF-/KRAS- tumors originating via specific molecular pathways including the traditional adenoma-carcinoma pathway but not with BRAF+ tumors originating via the serrated pathway. Therefore, limiting alcohol intake from a young age might reduce colorectal cancer originating via the traditional adenoma-carcinoma pathway.
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Affiliation(s)
- Harindra Jayasekara
- Cancer Council Victoria, Cancer Epidemiology Centre, 615 St Kilda Road, Melbourne, VIC, 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3010, Australia
| | - Robert J MacInnis
- Cancer Council Victoria, Cancer Epidemiology Centre, 615 St Kilda Road, Melbourne, VIC, 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3010, Australia
| | - Elizabeth J Williamson
- Farr Institute of Health Informatics Research, London, NW1 2DA, United Kingdom
- Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, United Kingdom
| | - Allison M Hodge
- Cancer Council Victoria, Cancer Epidemiology Centre, 615 St Kilda Road, Melbourne, VIC, 3004, Australia
| | - Mark Clendenning
- Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, VIC, Australia
| | - Christophe Rosty
- Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, VIC, Australia
- Envoi Specialist Pathologists, Brisbane, QLD, Australia
- School of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Rhiannon Walters
- Cancer and Population Studies Group, Queensland Institute of Medical Research, Herston, QLD, Australia
| | - Robin Room
- Centre for Alcohol Policy Research, La Trobe University, Melbourne, VIC, 3000, Australia
- Centre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, 3010, Australia
- Centre for Social Research on Alcohol and Drugs, Stockholm University, Stockholm, SE-106 91, Sweden
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3010, Australia
| | - Roger L Milne
- Cancer Council Victoria, Cancer Epidemiology Centre, 615 St Kilda Road, Melbourne, VIC, 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3010, Australia
| | - John L Hopper
- Cancer Council Victoria, Cancer Epidemiology Centre, 615 St Kilda Road, Melbourne, VIC, 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3010, Australia
| | - Graham G Giles
- Cancer Council Victoria, Cancer Epidemiology Centre, 615 St Kilda Road, Melbourne, VIC, 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3010, Australia
| | - Daniel D Buchanan
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3010, Australia
- Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, VIC, Australia
| | - Dallas R English
- Cancer Council Victoria, Cancer Epidemiology Centre, 615 St Kilda Road, Melbourne, VIC, 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3010, Australia
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A Prospective Study of Smoking and Risk of Synchronous Colorectal Cancers. Am J Gastroenterol 2017; 112:493-501. [PMID: 28117362 PMCID: PMC5342916 DOI: 10.1038/ajg.2016.589] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Accepted: 12/06/2016] [Indexed: 02/08/2023]
Abstract
OBJECTIVES Cigarette smoking has been linked to somatic genetic and epigenetic aberrations, including CpG island methylator phenotype (CIMP)-high, microsatellite instability (MSI)-high and BRAF mutation. These molecular features have been associated with synchronous primary colorectal cancers (CRCs). Thus, we examined the hypothesis that smoking might be associated with the risk of synchronous CRCs. METHODS Within the Health Professionals Follow-up Study and Nurses' Health Study, we examined the relationship of smoking and incidence of CRC according to tumor synchronicity, using duplication-method Cox proportional hazards regression analysis. RESULTS We confirmed 1,981 solitary CRC and 45 synchronous CRC cases during follow-up of 134,305 individuals. CRC risk associated with smoking differed significantly by tumor synchronicity status (Pheterogeneity<0.001). When comparing current smokers with never smokers, multivariable hazard ratios (HR) were 5.27 (95% confidence interval (CI), 2.08-13.40) for synchronous CRCs and 0.97 (95% CI, 0.83-1.14) for solitary CRC. Similarly, differential associations were observed when examining cumulative pack-years smoked (Pheterogeneity=0.006). Smoking cessation for ≥10 years relative to current smoking might reduce the risk of synchronous CRCs (multivariable HR=0.42; 95% CI, 0.19-0.95), but not solitary CRC (multivariable HR=1.10; 95% CI, 0.94-1.29; Pheterogeneity=0.001). Comparing current and former smokers with never smokers, multivariable HRs for synchronous CRCs were significantly higher than those of solitary CRC positive for either CIMP-high, MSI-high, or BRAF mutation (Pheterogeneity=0.002). CONCLUSIONS Smoking is associated with an elevated risk of synchronous CRCs. Our data support a model where smoking contributes to an etiologic field effect that favors these somatic molecular alterations and the development of multiple primary tumors.
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Campbell PT, Rebbeck TR, Nishihara R, Beck AH, Begg CB, Bogdanov AA, Cao Y, Coleman HG, Freeman GJ, Heng YJ, Huttenhower C, Irizarry RA, Kip NS, Michor F, Nevo D, Peters U, Phipps AI, Poole EM, Qian ZR, Quackenbush J, Robins H, Rogan PK, Slattery ML, Smith-Warner SA, Song M, VanderWeele TJ, Xia D, Zabor EC, Zhang X, Wang M, Ogino S. Proceedings of the third international molecular pathological epidemiology (MPE) meeting. Cancer Causes Control 2017; 28:167-176. [PMID: 28097472 PMCID: PMC5303153 DOI: 10.1007/s10552-016-0845-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 12/20/2016] [Indexed: 02/07/2023]
Abstract
Molecular pathological epidemiology (MPE) is a transdisciplinary and relatively new scientific discipline that integrates theory, methods, and resources from epidemiology, pathology, biostatistics, bioinformatics, and computational biology. The underlying objective of MPE research is to better understand the etiology and progression of complex and heterogeneous human diseases with the goal of informing prevention and treatment efforts in population health and clinical medicine. Although MPE research has been commonly applied to investigating breast, lung, and colorectal cancers, its methodology can be used to study most diseases. Recent successes in MPE studies include: (1) the development of new statistical methods to address etiologic heterogeneity; (2) the enhancement of causal inference; (3) the identification of previously unknown exposure-subtype disease associations; and (4) better understanding of the role of lifestyle/behavioral factors on modifying prognosis according to disease subtype. Central challenges to MPE include the relative lack of transdisciplinary experts, educational programs, and forums to discuss issues related to the advancement of the field. To address these challenges, highlight recent successes in the field, and identify new opportunities, a series of MPE meetings have been held at the Dana-Farber Cancer Institute in Boston, MA. Herein, we share the proceedings of the Third International MPE Meeting, held in May 2016 and attended by 150 scientists from 17 countries. Special topics included integration of MPE with immunology and health disparity research. This meeting series will continue to provide an impetus to foster further transdisciplinary integration of divergent scientific fields.
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Affiliation(s)
- Peter T Campbell
- Epidemiology Research Program, American Cancer Society, 250 Williams Street NW, Atlanta, GA, 30303, USA.
| | - Timothy R Rebbeck
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Reiko Nishihara
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Andrew H Beck
- Cancer Research Institute, Beth Israel Deaconess Cancer Center, Boston, MA, USA
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Colin B Begg
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alexei A Bogdanov
- Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Yin Cao
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- 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
| | - Helen G Coleman
- Epidemiology and Health Services Research Group, Centre for Public Health, Queens University Belfast, Belfast, Northern Ireland
| | - Gordon J Freeman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Yujing J Heng
- Cancer Research Institute, Beth Israel Deaconess Cancer Center, Boston, MA, USA
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Microbial Systems and Communities, Genome Sequencing and Analysis Program, The Broad Institute, Cambridge, MA, USA
| | - Rafael A Irizarry
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - N Sertac Kip
- Laboratory Medicine and Pathology, Geisinger Health System, Danville, PA, USA
| | - Franziska Michor
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Daniel Nevo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Elizabeth M Poole
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Zhi Rong Qian
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - John Quackenbush
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Harlan Robins
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Peter K Rogan
- Department of Biochemistry, University of Western Ontario, London, Canada
| | | | - Stephanie A Smith-Warner
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mingyang Song
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Tyler J VanderWeele
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Daniel Xia
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Emily C Zabor
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Division of MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, 450 Brookline Ave, Room SM1036, Boston, MA, 02215, USA.
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA.
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Borazanci E, Millis SZ, Kimbrough J, Doll N, Von Hoff D, Ramanathan RK. Potential actionable targets in appendiceal cancer detected by immunohistochemistry, fluorescent in situ hybridization, and mutational analysis. J Gastrointest Oncol 2017; 8:164-172. [PMID: 28280620 DOI: 10.21037/jgo.2017.01.14] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Appendiceal cancers are rare and consist of carcinoid, mucocele, pseudomyxoma peritonei (PMP), goblet cell carcinoma, lymphoma, and adenocarcinoma histologies. Current treatment involves surgical resection or debulking, but no standard exists for adjuvant chemotherapy or treatment for metastatic disease. METHODS Samples were identified from approximately 60,000 global tumors analyzed at a referral molecular profiling CLIA-certified laboratory. A total of 588 samples with appendix primary tumor sites were identified (male/female ratio of 2:3; mean age =55). Sixty-two percent of samples were adenocarcinomas (used for analysis); the rest consisted of 9% goblet cell, 15% mucinous; 6% pseudomyxoma, and less than 5% carcinoids and 2% neuroendocrine. Tests included sequencing [Sanger, next generation sequencing (NGS)], protein expression/immunohistochemistry (IHC), and gene amplification [fluorescent in situ hybridization (FISH) or CISH]. RESULTS Profiling across all appendiceal cancer histological subtypes for IHC revealed: 97% BRCP, 81% MRP1, 81% COX-2, 71% MGMT, 56% TOPO1, 5% PTEN, 52% EGFR, 40% ERCC1, 38% SPARC, 35% PDGFR, 35% TOPO2A, 25% RRM1, 21% TS, 16% cKIT, and 12% for TLE3. NGS revealed mutations in the following genes: 50.4% KRAS, 21.9% P53, 17.6% GNAS, 16.5% SMAD4, 10% APC, 7.5% ATM, 5.5% PIK3CA, 5.0% FBXW7, and 1.8% BRAF. CONCLUSIONS Appendiceal cancers show considerable heterogeneity with high levels of drug resistance proteins (BCRP and MRP1), which highlight the difficulty in treating these tumors and suggest an individualized approach to treatment. The incidence of low TS (79%) could be used as a backbone of therapy (using inhibitors such as 5FU/capecitabine or newer agents). Therapeutic options includeTOPO1 inhibitors (irinotecan/topotecan), EGFR inhibitors (erlotinib, cetuximab), PDGFR antagonists (regorafenib, axitinib), MGMT (temozolomide). Clinical trials targeting pathways involving KRAS, p53, GNAS, SMAD4, APC, ATM, PIK3CA, FBXW7, and BRAF may be also considered. Overall, appendiceal cancers have similar patterns in their molecular profile to pancreatic cancers (can we say this, any statistical analysis done?) and have differential expression from colorectal cancers. These findings indicate the need to evaluate patient samples for patterns in marker expression and alteration, in order to better understand the molecular biology and formulate a personalized therapy approach in these difficult to treat cancers (supported by a grant from Caris Life Sciences).
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Tominaga K, Doyama H, Nakanishi H, Yoshida N, Takeda Y, Ota R, Tsuji K, Matsunaga K, Tsuji S, Takemura K, Yamada S, Katayanagi K, Kurumaya H. Importance of colonoscopy in patients undergoing endoscopic resection for superficial esophageal squamous cell carcinoma. Ann Gastroenterol 2016; 29:318-24. [PMID: 27366032 PMCID: PMC4923817 DOI: 10.20524/aog.2016.0025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2015] [Accepted: 02/09/2016] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The aim of the study was to clarify the frequency of colorectal neoplasm (CRN) complicating superficial esophageal squamous cell carcinoma (ESCC) and the need for colonoscopy. METHODS We retrospectively reviewed 101 patients who had undergone initial endoscopic resection (ER) for superficial ESCC. Control group participants were age- and sex-matched asymptomatic subjects screened at our hospital over the same period of time. Advanced adenoma was defined as an adenoma ≥10 mm, with villous features, or high-grade dysplasia. Advanced CRN referred to advanced adenoma or cancer. We measured the incidence of advanced CRN in superficial ESCC and controls, and we compared the characteristics of superficial ESCC patients with and without advanced CRN. RESULTS In the superficial ESCC group, advanced CRNs were found in 17 patients (16.8%). A history of smoking alone was found to be a significant risk factor of advanced CRN [odds ratio 6.02 (95% CI 1.30-27.8), P=0.005]. CONCLUSION The frequency of synchronous advanced CRN is high in superficial ESCC patients subjected to ER. Colonoscopy should be highly considered for most patients who undergo ER for superficial ESCC with a history of smoking, and is recommended even in superficial ESCC patients.
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Affiliation(s)
- Kei Tominaga
- Department of Gastroenterology (Kei Tominaga, Hisashi Doyama, Hiroyoshi Nakanishi, Naohiro Yoshida, Yasuhito Takeda, Ryosuke Ota, Kunihiro Tsuji, Kazuhiro Matsunaga, Shigetsugu Tsuji, Kenichi Takemura, Shinya Yamada)
| | - Hisashi Doyama
- Department of Gastroenterology (Kei Tominaga, Hisashi Doyama, Hiroyoshi Nakanishi, Naohiro Yoshida, Yasuhito Takeda, Ryosuke Ota, Kunihiro Tsuji, Kazuhiro Matsunaga, Shigetsugu Tsuji, Kenichi Takemura, Shinya Yamada)
| | - Hiroyoshi Nakanishi
- Department of Gastroenterology (Kei Tominaga, Hisashi Doyama, Hiroyoshi Nakanishi, Naohiro Yoshida, Yasuhito Takeda, Ryosuke Ota, Kunihiro Tsuji, Kazuhiro Matsunaga, Shigetsugu Tsuji, Kenichi Takemura, Shinya Yamada)
| | - Naohiro Yoshida
- Department of Gastroenterology (Kei Tominaga, Hisashi Doyama, Hiroyoshi Nakanishi, Naohiro Yoshida, Yasuhito Takeda, Ryosuke Ota, Kunihiro Tsuji, Kazuhiro Matsunaga, Shigetsugu Tsuji, Kenichi Takemura, Shinya Yamada)
| | - Yasuhito Takeda
- Department of Gastroenterology (Kei Tominaga, Hisashi Doyama, Hiroyoshi Nakanishi, Naohiro Yoshida, Yasuhito Takeda, Ryosuke Ota, Kunihiro Tsuji, Kazuhiro Matsunaga, Shigetsugu Tsuji, Kenichi Takemura, Shinya Yamada)
| | - Ryosuke Ota
- Department of Gastroenterology (Kei Tominaga, Hisashi Doyama, Hiroyoshi Nakanishi, Naohiro Yoshida, Yasuhito Takeda, Ryosuke Ota, Kunihiro Tsuji, Kazuhiro Matsunaga, Shigetsugu Tsuji, Kenichi Takemura, Shinya Yamada)
| | - Kunihiro Tsuji
- Department of Gastroenterology (Kei Tominaga, Hisashi Doyama, Hiroyoshi Nakanishi, Naohiro Yoshida, Yasuhito Takeda, Ryosuke Ota, Kunihiro Tsuji, Kazuhiro Matsunaga, Shigetsugu Tsuji, Kenichi Takemura, Shinya Yamada)
| | - Kazuhiro Matsunaga
- Department of Gastroenterology (Kei Tominaga, Hisashi Doyama, Hiroyoshi Nakanishi, Naohiro Yoshida, Yasuhito Takeda, Ryosuke Ota, Kunihiro Tsuji, Kazuhiro Matsunaga, Shigetsugu Tsuji, Kenichi Takemura, Shinya Yamada)
| | - Shigetsugu Tsuji
- Department of Gastroenterology (Kei Tominaga, Hisashi Doyama, Hiroyoshi Nakanishi, Naohiro Yoshida, Yasuhito Takeda, Ryosuke Ota, Kunihiro Tsuji, Kazuhiro Matsunaga, Shigetsugu Tsuji, Kenichi Takemura, Shinya Yamada)
| | - Kenichi Takemura
- Department of Gastroenterology (Kei Tominaga, Hisashi Doyama, Hiroyoshi Nakanishi, Naohiro Yoshida, Yasuhito Takeda, Ryosuke Ota, Kunihiro Tsuji, Kazuhiro Matsunaga, Shigetsugu Tsuji, Kenichi Takemura, Shinya Yamada)
| | - Shinya Yamada
- Department of Gastroenterology (Kei Tominaga, Hisashi Doyama, Hiroyoshi Nakanishi, Naohiro Yoshida, Yasuhito Takeda, Ryosuke Ota, Kunihiro Tsuji, Kazuhiro Matsunaga, Shigetsugu Tsuji, Kenichi Takemura, Shinya Yamada)
| | - Kazuyoshi Katayanagi
- Department of Diagnostic Pathology (Kazuyoshi Katayanagi, Hiroshi Kurumaya), Ishikawa Prefectural Central Hospital, Kanazawa, Japan
| | - Hiroshi Kurumaya
- Department of Diagnostic Pathology (Kazuyoshi Katayanagi, Hiroshi Kurumaya), Ishikawa Prefectural Central Hospital, Kanazawa, Japan
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Lewis DR, Chen HS, Cockburn M, Wu XC, Stroup AM, Midthune DN, Krapcho MF, Miller DG, Penberthy L, Feuer EJ. Preliminary estimates of SEER cancer incidence for 2013. Cancer 2016; 122:1579-87. [PMID: 26991915 DOI: 10.1002/cncr.29953] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Revised: 01/14/2016] [Accepted: 01/25/2016] [Indexed: 01/05/2023]
Abstract
BACKGROUND This article presents a first look at rates and trends for cases in the Surveillance, Epidemiology, and End Results (SEER) program diagnosed through 2013 using the February 2015 submission, and a validation of rates and trends from the February 2014 submission using the subsequent November 2014 submission. To the authors' knowledge, this is the second time SEER has published trends based on the early February submission. Three new cancer sites were added: cervix, thyroid, and liver/ intrahepatic bile duct. METHODS A reporting delay model adjusted for the undercount of cases, which is substantially larger for the February than the subsequent November submission, was used. Joinpoint regression methodology was used to assess trends. Delay-adjusted rates and trends were checked to assess validity between the February and November 2014 submissions. RESULTS The validation of rates and trends from the February and November 2014 submissions demonstrated even better agreement than the previously reported comparison between the February and November 2013 submissions, thereby affording additional confidence that the delay-adjusted February submission data can be used to produce valid estimates of incidence trends. Trends for cases diagnosed through 2013 revealed more rapid declines in female colon and rectal cancer and prostate cancer. A plateau in female melanoma trends and a slowing of the increases in thyroid cancer and male liver/intrahepatic bile duct cancer trends were observed. CONCLUSIONS Analysis of early cancer data submissions can provide a preliminary indication of differences in incidence trends with an additional year of data. Although the delay adjustment correction adjusts for underreporting of cases, caution should be exercised when interpreting the results in this early submission. Cancer 2016;122:1579-87. © 2016 American Cancer Society.
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Affiliation(s)
- Denise Riedel Lewis
- Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland
| | - Huann-Sheng Chen
- Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland
| | - Myles Cockburn
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Xiao-Cheng Wu
- Louisiana Tumor Registry, Louisiana State University, New Orleans, Louisiana
| | - Antoinette M Stroup
- New Jersey State Tumor Registry, Rutgers University, New Brunswick, New Jersey
| | - Douglas N Midthune
- Biometry Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland
| | - Martin F Krapcho
- Information Management Systems Incorporated, Calverton, Maryland
| | - Daniel G Miller
- Information Management Systems Incorporated, Calverton, Maryland
| | - Lynne Penberthy
- Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland
| | - Eric J Feuer
- Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland
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Nishi A, Milner DA, Giovannucci EL, Nishihara R, Tan AS, Kawachi I, Ogino S. Integration of molecular pathology, epidemiology and social science for global precision medicine. Expert Rev Mol Diagn 2015; 16:11-23. [PMID: 26636627 PMCID: PMC4713314 DOI: 10.1586/14737159.2016.1115346] [Citation(s) in RCA: 74] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The precision medicine concept and the unique disease principle imply that each patient has unique pathogenic processes resulting from heterogeneous cellular genetic and epigenetic alterations and interactions between cells (including immune cells) and exposures, including dietary, environmental, microbial and lifestyle factors. As a core method field in population health science and medicine, epidemiology is a growing scientific discipline that can analyze disease risk factors and develop statistical methodologies to maximize utilization of big data on populations and disease pathology. The evolving transdisciplinary field of molecular pathological epidemiology (MPE) can advance biomedical and health research by linking exposures to molecular pathologic signatures, enhancing causal inference and identifying potential biomarkers for clinical impact. The MPE approach can be applied to any diseases, although it has been most commonly used in neoplastic diseases (including breast, lung and colorectal cancers) because of availability of various molecular diagnostic tests. However, use of state-of-the-art genomic, epigenomic and other omic technologies and expensive drugs in modern healthcare systems increases racial, ethnic and socioeconomic disparities. To address this, we propose to integrate molecular pathology, epidemiology and social science. Social epidemiology integrates the latter two fields. The integrative social MPE model can embrace sociology, economics and precision medicine, address global health disparities and inequalities, and elucidate biological effects of social environments, behaviors and networks. We foresee advancements of molecular medicine, including molecular diagnostics, biomedical imaging and targeted therapeutics, which should benefit individuals in a global population, by means of an interdisciplinary approach of integrative MPE and social health science.
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Affiliation(s)
- Akihiro Nishi
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
| | - Danny A Milner
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
| | - Edward L. Giovannucci
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
| | - Reiko Nishihara
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
| | - Andy S. Tan
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
| | - Ichiro Kawachi
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
| | - Shuji Ogino
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
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Wang M, Spiegelman D, Kuchiba A, Lochhead P, Kim S, Chan AT, Poole EM, Tamimi R, Tworoger SS, Giovannucci E, Rosner B, Ogino S. Statistical methods for studying disease subtype heterogeneity. Stat Med 2015; 35:782-800. [PMID: 26619806 DOI: 10.1002/sim.6793] [Citation(s) in RCA: 234] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2014] [Revised: 09/08/2015] [Accepted: 10/13/2015] [Indexed: 12/31/2022]
Abstract
A fundamental goal of epidemiologic research is to investigate the relationship between exposures and disease risk. Cases of the disease are often considered a single outcome and assumed to share a common etiology. However, evidence indicates that many human diseases arise and evolve through a range of heterogeneous molecular pathologic processes, influenced by diverse exposures. Pathogenic heterogeneity has been considered in various neoplasms such as colorectal, lung, prostate, and breast cancers, leukemia and lymphoma, and non-neoplastic diseases, including obesity, type II diabetes, glaucoma, stroke, cardiovascular disease, autism, and autoimmune disease. In this article, we discuss analytic options for studying disease subtype heterogeneity, emphasizing methods for evaluating whether the association of a potential risk factor with disease varies by disease subtype. Methods are described for scenarios where disease subtypes are categorical and ordinal and for cohort studies, matched and unmatched case-control studies, and case-case study designs. For illustration, we apply the methods to a molecular pathological epidemiology study of alcohol intake and colon cancer risk by tumor LINE-1 methylation subtypes. User-friendly software to implement the methods is publicly available.
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Affiliation(s)
- Molin Wang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, U.S.A
| | - Donna Spiegelman
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.,Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A
| | - Aya Kuchiba
- Department of Biostatistics, National Cancer Center, Tokyo, Japan
| | - Paul Lochhead
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, U.S.A
| | - Sehee Kim
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, U.S.A
| | - Andrew T Chan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, U.S.A.,Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, U.S.A
| | - Elizabeth M Poole
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, U.S.A
| | - Rulla Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, U.S.A
| | - Shelley S Tworoger
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, U.S.A
| | - Edward Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, U.S.A
| | - Bernard Rosner
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, U.S.A
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.,Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, U.S.A.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, U.S.A
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Schmit SL, Figueiredo JC, Cortessis VK, Thomas DC. The Influence of Screening for Precancerous Lesions on Family-Based Genetic Association Tests: An Example of Colorectal Polyps and Cancer. Am J Epidemiol 2015; 182:714-22. [PMID: 26306664 DOI: 10.1093/aje/kwv128] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Accepted: 05/05/2015] [Indexed: 11/12/2022] Open
Abstract
Unintended consequences of secondary prevention include potential introduction of bias into epidemiologic studies estimating genotype-disease associations. To better understand such bias, we simulated a family-based study of colorectal cancer (CRC), which can be prevented by resecting screen-detected polyps. We simulated genes related to CRC development through risk of polyps (G1), risk of CRC but not polyps (G2), and progression from polyp to CRC (G3). Then, we examined 4 analytical strategies for studying diseases subject to secondary prevention, comparing the following: 1) CRC cases with all controls, without adjusting for polyp history; 2) CRC cases with controls, adjusting for polyp history; 3) CRC cases with only polyp-free controls; and 4) cases with either CRC or polyps with controls having neither. Strategy 1 yielded estimates of association between CRC and each G that were not substantially biased. Strategies 2-4 yielded biased estimates varying in direction according to analysis strategy and gene type. Type I errors were correct, but strategy 1 provided greater power for estimating associations with G2 and G3. We also applied each strategy to case-control data from the Colon Cancer Family Registry (1997-2007). Generally, the best analytical option balancing bias and power is to compare all CRC cases with all controls, ignoring polyps.
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Shi DB, Li XX, Zheng HT, Li DW, Cai GX, Peng JJ, Gu WL, Guan ZQ, Xu Y, Cai SJ. Icariin-mediated inhibition of NF-κB activity enhances the in vitro and in vivo antitumour effect of 5-fluorouracil in colorectal cancer. Cell Biochem Biophys 2015; 69:523-30. [PMID: 24435883 DOI: 10.1007/s12013-014-9827-5] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Colorectal cancer (CRC) is an aggressive malignancy that has a poor prognosis. 5-Fluorouracil (5-FU) is a first line chemotherapeutic medication used in the treatment of gallbladder cancer; however, the efficacy is below satisfactory. Icariin is a natural compound that is conventionally reported to have activity against a variety of cancers. This study was carried out to investigate the anti-cancer effect of icariin in CRC cells and to determine whether the compound can enhance the antitumour activity of 5-FU. Cell proliferation and apoptosis were measured using an MTT assay and flow cytometry, respectively. The activity of transcription factor NF-κB was determined by EMSA method. The expression of apoptosis- and proliferation-related proteins was determined by western blotting. The in vivo antitumour effect of combination treatment with icariin and 5-FU on CRC was also assessed using a murine model of CRC. Icariin sensitized the CRC cells to 5-FU both in vitro and in vivo. The antitumour activity of icariin and its potentiating effect on the antitumour activity of 5-FU implicated the suppression of NF-κB activity and consequent down-regulation of the gene products regulated by NF-κB. Our results showed that icariin, suppressed tumour growth and enhanced the antitumour activity of 5-FU in CRC by inhibiting NF-κB activity. Therefore, we suggest that combination of icariin with 5-FU might offer a therapeutic benefit to the patients with CRC; however, further studies are required to ascertain this proposition.
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Affiliation(s)
- De-Bing Shi
- Department of Colorectal Surgery, Cancer Hospital, Fudan University, Shanghai, 200032, China
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Wang P, Liu H, Jiang T, Yang J. Cigarette Smoking and the Risk of Adult Myeloid Disease: A Meta-Analysis. PLoS One 2015; 10:e0137300. [PMID: 26340093 PMCID: PMC4560392 DOI: 10.1371/journal.pone.0137300] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Accepted: 07/21/2015] [Indexed: 12/30/2022] Open
Abstract
Background The adult myeloid diseases, myelodysplastic syndrome and acute myeloid leukemia, have been reported to be associated with cigarette smoking, but the results have been conflicting. Previous studies may have ignored the relationship between myelodysplastic syndrome and acute myeloid leukemia, where approximately one-third of myelodysplastic syndrome cases will progress to acute myeloid leukemia, which could induce a serious bias in independent analyses. For the purposes of researching pathogenesis, we suggest that myelodysplastic syndrome and acute myeloid leukemia should be regarded as a single class of adult myeloid disease, and herein assessed the relationship between cigarette smoking and the risk of adult myeloid disease. Methods The PubMed, Cochrane Library, EBSCO, and EMBASE databases were systematically searched for reports published from 1990 to 2015. Two authors independently assessed the methodological quality and the extracted data. The odds ratios and adjusted odds ratios (OR), a sensitivity analysis, and the publication bias were analyzed using the CMA v2 (Comprehensive Meta Analysis Version 2) software program. Results Twenty-five studies were included in this meta-analysis. The publication dates ranged from 1990 to 2014. The pooled OR in current smokers and ever-smokers showed an increased risk of adult myeloid disease, with ORs of 1.45 (95% CI, 1.30–1.62; p<0.001) and 1.23 (95% CI 1.15–1.32; p<0.001) versus non-smokers, respectively. In the subset analyses, the OR of adult myeloid disease was increased regardless of the form of disease, geographical region, NOS (Newcastle Ottawa Scale) score, and source of controls. The smoking status was divided into <20 and ≥20 cigarettes per day, and these groups had ORs of developing adult myeloid disease of 1.24 (95% CI, 1.09–1.40; p = 0.001) and 1.32 (95% CI, 1.14–1.53; p<0.001), respectively. In the groups divided based on the number of years the subjects had smoked (<20 and ≥20 years), the ORs were 1.05 (95% CI, 0.90–1.23; p = 0.25) and 1.30 (95% CI, 1.16–1.45; p<0.001), respectively. Similarly, <20 and ≥20 pack-years were associated with ORs of 1.15 (95% CI, 1.03–1.29; p = 0.017) and 1.34 (95% CI, 1.18–1.52; p<0.001), respectively. Conclusions This meta-analysis, for the first time, combined myelodysplastic syndrome with acute myeloid leukemia to assess the overall risk of adult myeloid disease, and it demonstrated that cigarette smoking is associated with a significantly increased risk of adult myeloid disease.
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Affiliation(s)
- Peng Wang
- Department of Pathology, Medical Faculty, Kunming University of Science and Technology, Kunming, P.R. China
| | - Huifang Liu
- Department of Pathology, Medical Faculty, Kunming University of Science and Technology, Kunming, P.R. China
| | - Ting Jiang
- Department of Pathology, Kunming General Hospital, Clinical College of Kunming Medical University, Kunming, P.R. China
| | - Julun Yang
- Department of Pathology, Medical Faculty, Kunming University of Science and Technology, Kunming, P.R. China; Department of Pathology, Kunming General Hospital, Kunming, P.R. China
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Kocarnik JM, Shiovitz S, Phipps AI. Molecular phenotypes of colorectal cancer and potential clinical applications. Gastroenterol Rep (Oxf) 2015; 3:269-76. [PMID: 26337942 PMCID: PMC4650976 DOI: 10.1093/gastro/gov046] [Citation(s) in RCA: 76] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Colorectal cancer (CRC) is a heterogeneous disease, arising from many possible etiological pathways. This heterogeneity can have important implications for CRC prognosis and clinical management. Epidemiological studies of CRC risk and prognosis—as well as clinical trials for the treatment of CRC—must therefore be sensitive to the molecular phenotype of colorectal tumors in patients under study. In this review, we describe four tumor markers that have been widely studied as reflections of CRC heterogeneity: (i) microsatellite instability (MSI) or DNA mismatch repair (MMR) deficiency, (ii) the CpG island methylator phenotype (CIMP), and somatic mutations in (iii) BRAF and (iv) KRAS. These tumor markers have been used to better characterize CRC epidemiology and, increasingly, may be used to guide clinical decision-making. Going beyond these traditional tumor markers, we also briefly review some more novel markers likely to be of clinical significance. Lastly, recognizing that none of these individual tumor markers are isolated attributes but, rather, a reflection of broader tumor phenotypes, we review some of the hypothesized etiological pathways of CRC development and their associated clinical differences.
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Affiliation(s)
- Jonathan M Kocarnik
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA, Epidemiology Department, University of Washington, Seattle, WA, USA
| | - Stacey Shiovitz
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA and Department of Medicine, Division of Medical Oncology, University of Washington, Seattle, WA, USA
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA, Epidemiology Department, University of Washington, Seattle, WA, USA,
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Campbell PT, Deka A, Briggs P, Cicek M, Farris AB, Gaudet MM, Jacobs EJ, Newton CC, Patel AV, Teras LR, Thibodeau SN, Tillmans L, Gapstur SM. Establishment of the cancer prevention study II nutrition cohort colorectal tissue repository. Cancer Epidemiol Biomarkers Prev 2015; 23:2694-702. [PMID: 25472679 DOI: 10.1158/1055-9965.epi-14-0541] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND To better understand colorectal cancer etiology and prognosis, archived surgical tissues were collected from Cancer Prevention Study II (CPS-II) Nutrition Cohort participants who were diagnosed with colorectal cancer. Herein, the methodology for this collection is described to help inform other efforts to collect tissues. METHODS The main components to accruing tissue were: (i) obtaining consent from participants or next-of-kin; (ii) contacting hospitals to request materials; and (iii) pathology review and laboratory processing. RESULTS In CPS-II, we identified 3,643 participants diagnosed with colorectal cancer between 1992/1993 and 2009. Of these, tissue could not be sought from cases verified through state cancer registry linkage (N = 1,622), because of insufficient information on tissue location. We sought tissue from the 2,021 cases verified using medical records, and received tissue from 882. When hospitals were contacted within 10 years of diagnosis, we received 87% of tissue materials; beyond that 10-year mark, we received 32%. Compared with the 2,761 colorectal cancer cases without tissue, the 882 cases with tissue were more likely to be alive, diagnosed more recently during follow-up, and had less-advanced staged disease. Cases with and without tissues were similar with respect to age at diagnosis, smoking, body mass index, physical activity, and other epidemiologic factors. CONCLUSIONS Some of the most important elements in forming a tissue repository included having the cases' hospital contact and surgical accession information as well as contacting patients/next-of-kin and hospitals within 10 years of surgery. IMPACT This tissue repository will serve as an important resource for colorectal cancer studies. See all the articles in this CEBP Focus section, "Biomarkers, Biospecimens, and New Technologies in Molecular Epidemiology." Cancer Epidemiol Biomarkers Prev; 23(12); 2694-702. ©2014 AACR.
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Affiliation(s)
- Peter T Campbell
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia.
| | - Anusila Deka
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Peter Briggs
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | | | - Alton B Farris
- Department of Pathology, Emory University, Atlanta, Georgia
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Eric J Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Christina C Newton
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Alpa V Patel
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Lauren R Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | | | | | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
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Wang M, Kuchiba A, Ogino S. A Meta-Regression Method for Studying Etiological Heterogeneity Across Disease Subtypes Classified by Multiple Biomarkers. Am J Epidemiol 2015; 182:263-70. [PMID: 26116215 DOI: 10.1093/aje/kwv040] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2014] [Accepted: 02/04/2015] [Indexed: 12/22/2022] Open
Abstract
In interdisciplinary biomedical, epidemiologic, and population research, it is increasingly necessary to consider pathogenesis and inherent heterogeneity of any given health condition and outcome. As the unique disease principle implies, no single biomarker can perfectly define disease subtypes. The complex nature of molecular pathology and biology necessitates biostatistical methodologies to simultaneously analyze multiple biomarkers and subtypes. To analyze and test for heterogeneity hypotheses across subtypes defined by multiple categorical and/or ordinal markers, we developed a meta-regression method that can utilize existing statistical software for mixed-model analysis. This method can be used to assess whether the exposure-subtype associations are different across subtypes defined by 1 marker while controlling for other markers and to evaluate whether the difference in exposure-subtype association across subtypes defined by 1 marker depends on any other markers. To illustrate this method in molecular pathological epidemiology research, we examined the associations between smoking status and colorectal cancer subtypes defined by 3 correlated tumor molecular characteristics (CpG island methylator phenotype, microsatellite instability, and the B-Raf protooncogene, serine/threonine kinase (BRAF), mutation) in the Nurses' Health Study (1980-2010) and the Health Professionals Follow-up Study (1986-2010). This method can be widely useful as molecular diagnostics and genomic technologies become routine in clinical medicine and public health.
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Klarich DS, Brasser SM, Hong MY. Moderate Alcohol Consumption and Colorectal Cancer Risk. Alcohol Clin Exp Res 2015; 39:1280-91. [PMID: 26110674 DOI: 10.1111/acer.12778] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Accepted: 05/11/2015] [Indexed: 12/16/2022]
Abstract
BACKGROUND Heavy alcohol drinking is a risk factor for colorectal cancer (CRC); previous studies have shown a linear dose-dependent association between alcohol intake and CRC. However, some studies suggest that moderate alcohol consumption may have a protective effect, similar to that seen in cardiovascular disease. Other factors may interact with alcohol and contribute additional risk for CRC. We aimed to determine the association between moderate alcohol consumption, limited to 30 g of alcohol per day, by beverage type on CRC risk and to assess the effects of other factors that interact with alcohol to influence CRC risk. METHODS The PubMed database was used to find articles published between 2008 and 2014 related to alcohol and CRC. Twenty-one relevant articles were evaluated and summarized, including 11 articles reporting on CRC risk associated with moderate intake and 10 articles focusing on genetic interactions associated with alcohol and CRC risk. RESULTS The association between alcohol and increased risk for CRC was found when intakes exceeded 30 g/d alcohol. Nonsignificant results were consistently reported for intakes <30 g/d. Additional risks for CRC were found to be related to obesity and folate status for regular alcohol consumers. Some significant results suggest that the development of CRC is dependent on the interaction of gene and environment. CONCLUSIONS The association between the amount of alcohol consumed and the incidence of CRC was not significant at moderate intake levels. Moderate alcohol consumption was associated with a reduced CRC risk in study populations with greater adherence to a Mediterranean diet, where wine contributed substantially to the alcoholic beverage consumed. Other factors such as obesity, folate deficiency, and genetic susceptibility may contribute additional CRC risk for those consuming alcohol. To minimize CRC risk, appropriate recommendations should encourage intakes below 30 g of alcohol each day.
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Affiliation(s)
- DawnKylee S Klarich
- Department of Exercise and Nutritional Sciences, San Diego State University, San Diego, California
| | - Susan M Brasser
- Department of Psychology, San Diego State University, San Diego, California
| | - Mee Young Hong
- Department of Exercise and Nutritional Sciences, San Diego State University, San Diego, California
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Sharafeldin N, Slattery ML, Liu Q, Franco-Villalobos C, Caan BJ, Potter JD, Yasui Y. A Candidate-Pathway Approach to Identify Gene-Environment Interactions: Analyses of Colon Cancer Risk and Survival. J Natl Cancer Inst 2015; 107:djv160. [PMID: 26072521 DOI: 10.1093/jnci/djv160] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Accepted: 05/13/2015] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Genetic association studies have traditionally focused on associations between individual single nucleotide polymorphisms (SNPs) and disease. Standard analysis ignores interactions between multiple SNPs and environmental exposures explaining a small portion of disease heritability: the often-cited issue of "missing heritability." METHODS We present a novel three-step analytic framework for modeling gene-environment interactions (GEIs) between an angiogenesis candidate-gene pathway and three lifestyle exposures (dietary protein, smoking, and alcohol consumption) on colon cancer risk and survival. Logic regression was used to summarize the gene-pathway effects, and GEIs were modeled using logistic regression and Cox proportional hazards models. We analyzed data from 1541 colon cancer case patients and 1934 control subjects in the Diet, Activity and Lifestyle as a Risk Factor for Colon Cancer Study. RESULTS We identified five statistically significant GEIs for colon cancer risk. For risk interaction, odds ratios (ORINT) and 95% confidence intervals (CIs) were FLT1(rs678714) and BMP4(rs17563) and smoking (ORINT = 1.64, 95% CI = 1.11 to 2.41 and ORINT = 1.60, 95% CI = 1.10 to 2.32, respectively); FLT1(rs2387632 OR rs9513070) and protein intake (ORINT = 1.69, 95% CI = 1.03 to 2.77); KDR(rs6838752) and TLR2(rs3804099) and alcohol (ORINT = 1.53, 95% CI = 1.10 to 2.13 and ORINT = 1.59, 95% CI = 1.05 to 2.38, respectively). Three GEIs between TNF, BMP1, and BMPR2 genes and the three exposures were statistically significant at the 5% level in relation to colon cancer survival but not after multiple-testing adjustment. CONCLUSIONS Adopting a comprehensive biologically informed candidate-pathway approach identified GEI effects on colon cancer. Findings may have important implications for public health and personalized medicine targeting prevention and therapeutic strategies. Findings from this study need to be validated in other studies.
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Affiliation(s)
- Noha Sharafeldin
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada (NS, QL, CFV, YY); Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT (MLS); Division of Research, Kaiser Permanente Medical Care Program, Oakland, CA (BJC); Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA (JDP); Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA (JDP); Centre for Public Health Research, Massey University, Wellington, New Zealand (JDP)
| | - Martha L Slattery
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada (NS, QL, CFV, YY); Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT (MLS); Division of Research, Kaiser Permanente Medical Care Program, Oakland, CA (BJC); Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA (JDP); Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA (JDP); Centre for Public Health Research, Massey University, Wellington, New Zealand (JDP)
| | - Qi Liu
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada (NS, QL, CFV, YY); Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT (MLS); Division of Research, Kaiser Permanente Medical Care Program, Oakland, CA (BJC); Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA (JDP); Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA (JDP); Centre for Public Health Research, Massey University, Wellington, New Zealand (JDP)
| | - Conrado Franco-Villalobos
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada (NS, QL, CFV, YY); Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT (MLS); Division of Research, Kaiser Permanente Medical Care Program, Oakland, CA (BJC); Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA (JDP); Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA (JDP); Centre for Public Health Research, Massey University, Wellington, New Zealand (JDP)
| | - Bette J Caan
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada (NS, QL, CFV, YY); Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT (MLS); Division of Research, Kaiser Permanente Medical Care Program, Oakland, CA (BJC); Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA (JDP); Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA (JDP); Centre for Public Health Research, Massey University, Wellington, New Zealand (JDP)
| | - John D Potter
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada (NS, QL, CFV, YY); Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT (MLS); Division of Research, Kaiser Permanente Medical Care Program, Oakland, CA (BJC); Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA (JDP); Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA (JDP); Centre for Public Health Research, Massey University, Wellington, New Zealand (JDP)
| | - Yutaka Yasui
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada (NS, QL, CFV, YY); Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT (MLS); Division of Research, Kaiser Permanente Medical Care Program, Oakland, CA (BJC); Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA (JDP); Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA (JDP); Centre for Public Health Research, Massey University, Wellington, New Zealand (JDP).
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Xu M, Wang S, Qi Y, Chen L, Frank JA, Yang XH, Zhang Z, Shi X, Luo J. Role of MCP-1 in alcohol-induced aggressiveness of colorectal cancer cells. Mol Carcinog 2015; 55:1002-11. [PMID: 26014148 DOI: 10.1002/mc.22343] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Revised: 04/27/2015] [Accepted: 05/01/2015] [Indexed: 12/16/2022]
Abstract
Epidemiological studies demonstrate that alcohol consumption is associated with an increased risk of colorectal cancer (CRC). In addition to promoting carcinogenesis, alcohol may also accelerate the progression of existing CRC. We hypothesized that alcohol may enhance the aggressiveness of CRC. In this study, we investigated the effect of alcohol on the migration/invasion and metastasis of CRC. Alcohol increased the migration/invasion of colorectal cancer cells (DLD1, HCT116, HT29, and SW480) in a concentration-dependent manner. Among these colon cancer cell lines, HCT116 cells were most responsive while HT29 cells were the least responsive to ethanol-stimulated cell migration/invasion. These in vitro results were supported by animal studies which demonstrated that ethanol enhanced the metastasis of colorectal cancer cells to the liver and lung. Monocyte chemoattractant protein-1 (MCP-1) is a chemokine that plays an important role in regulating tumor microenvironment and metastasis. Alcohol increased the expression of MCP-1 and its receptor CCR2 at both protein and mRNA levels. The pattern of alcohol-induced alterations in MCP-1 expression was consistent with its effect on migration/invasion; HCT116 cells displayed the highest up-regulation of MCP-1/CCR2 in response to alcohol exposure. An antagonist of CCR2 blocked alcohol-stimulated migration. Alcohol caused an initial cytosolic accumulation of β-catenin and its subsequent nuclear translocation by inhibiting GSK3β activity. Alcohol stimulated the activity of MCP-1 gene promoter in a β-catenin-dependent manner. Furthermore, knock-down of MCP-1/CCR2 or β-catenin was sufficient to inhibit alcohol-induced cell migration/invasion. Together, these results suggested that alcohol may promote the metastasis of CRC through modulating GSK3β/β-catenin/MCP-1 pathway.
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Affiliation(s)
- Mei Xu
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, Kentucky
| | - Siying Wang
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, Kentucky.,Pathophysiological Department, School of Basic Medicine, Anhui Medical University, Hefei, Anhui, China
| | - Yuanlin Qi
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, Kentucky
| | - Li Chen
- Pathophysiological Department, School of Basic Medicine, Anhui Medical University, Hefei, Anhui, China
| | - Jacqueline A Frank
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, Kentucky
| | - Xiuwei H Yang
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, Kentucky
| | - Zhuo Zhang
- Graduate Center for Toxicology, University of Kentucky College of Medicine, Lexington, Kentucky
| | - Xianglin Shi
- Graduate Center for Toxicology, University of Kentucky College of Medicine, Lexington, Kentucky
| | - Jia Luo
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, Kentucky
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Ogino S, Campbell PT, Nishihara R, Phipps AI, Beck AH, Sherman ME, Chan AT, Troester MA, Bass AJ, Fitzgerald KC, Irizarry RA, Kelsey KT, Nan H, Peters U, Poole EM, Qian ZR, Tamimi RM, Tchetgen Tchetgen EJ, Tworoger SS, Zhang X, Giovannucci EL, van den Brandt PA, Rosner BA, Wang M, Chatterjee N, Begg CB. Proceedings of the second international molecular pathological epidemiology (MPE) meeting. Cancer Causes Control 2015; 26:959-72. [PMID: 25956270 DOI: 10.1007/s10552-015-0596-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2015] [Accepted: 04/27/2015] [Indexed: 02/07/2023]
Abstract
Disease classification system increasingly incorporates information on pathogenic mechanisms to predict clinical outcomes and response to therapy and intervention. Technological advancements to interrogate omics (genomics, epigenomics, transcriptomics, proteomics, metabolomics, metagenomics, interactomics, etc.) provide widely open opportunities in population-based research. Molecular pathological epidemiology (MPE) represents integrative science of molecular pathology and epidemiology. This unified paradigm requires multidisciplinary collaboration between pathology, epidemiology, biostatistics, bioinformatics, and computational biology. Integration of these fields enables better understanding of etiologic heterogeneity, disease continuum, causal inference, and the impact of environment, diet, lifestyle, host factors (including genetics and immunity), and their interactions on disease evolution. Hence, the Second International MPE Meeting was held in Boston in December 2014, with aims to: (1) develop conceptual and practical frameworks; (2) cultivate and expand opportunities; (3) address challenges; and (4) initiate the effort of specifying guidelines for MPE. The meeting mainly consisted of presentations of method developments and recent data in various malignant neoplasms and tumors (breast, prostate, ovarian and colorectal cancers, renal cell carcinoma, lymphoma, and leukemia), followed by open discussion sessions on challenges and future plans. In particular, we recognized need for efforts to further develop statistical methodologies. This meeting provided an unprecedented opportunity for interdisciplinary collaboration, consistent with the purposes of the Big Data to Knowledge, Genetic Associations and Mechanisms in Oncology, and Precision Medicine Initiative of the US National Institute of Health. The MPE meeting series can help advance transdisciplinary population science and optimize training and education systems for twenty-first century medicine and public health.
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Affiliation(s)
- Shuji Ogino
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 450 Brookline Ave., Room M422, Boston, MA, 02215, USA,
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Peng H, Huang J, Hu Y, Wei Y, Liu H, Huang M, Wang L, Wang J. Associations between polymorphisms in the SYK promoter and susceptibility to sporadic colorectal cancer in a Southern Han Chinese population - a short report. Cell Oncol (Dordr) 2015; 38:165-72. [PMID: 25921550 DOI: 10.1007/s13402-014-0208-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/14/2014] [Indexed: 01/22/2023] Open
Abstract
PURPOSE Down-regulated expression of the putative tumor suppressor gene spleen tyrosine kinase (SYK) is strongly associated with the development of various cancers, including colorectal cancer (CRC). SYK gene promoter polymorphisms have been shown to be involved in the pathogenesis of multiple malignant tumors. In this study, we investigated associations of SYK gene promoter polymorphisms with the susceptibility to colorectal cancer development in a Southern Han Chinese population. METHODS SNPs in the promoter region of the human SYK gene were identified using in silico analysis tools, linkage disequilibrium analysis, and a search for likely transcription factor binding sites via TFSEARCH in the NCBI SNP database (gene ID: 6850). Based on this information, -803A>T and -534T>C were selected as candidates for further analysis. TaqMan-MGB probe analyses were performed in 567 CRC patients and 569 age- and gender-matched healthy controls for SYK gene promoter genotyping. Associations between CRC risk and SNPs were estimated using an unconditional logistic regression model, and environmental risk factors were included in a multivariate logistic regression model for correction. RESULTS The frequencies of the TA and TT genotypes and the T allele of the -803A>T SNP were found to be significantly higher in the CRC patients compared to the healthy individuals of the control group (P=0.020, 0.023, and 0.013, respectively). Synergistic effects between -803A>T genotypes (i.e., TA+TT) and age (≤60 years; P=0.039), male gender (P=0.011), smoking (P=0.005), drinking alcohol (P=0.002), and high BMI (≥24.0 kg/m2; P=0.009) were found to increase the risk to develop CRC by stratified analyses. CONCLUSIONS The SYK -803 A>T genotypes TA and TT are independent risk factors for CRC development in Han Chinese in Southern China, and an association with TA+TT genotypes appears predominant among younger patients, male patients, patients with a high BMI, and patients who smoke or drink alcohol.
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Affiliation(s)
- Hui Peng
- Guangdong Institute of Gastroenterology and the Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
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Liu MN, Liu AY, Du YJ, Pei FH, Wang XH, Chen J, Liu D, Liu BR. Nitrogen permease regulator-like 2 enhances sensitivity to oxaliplatin in colon cancer cells. Mol Med Rep 2015; 12:1189-96. [PMID: 25777765 DOI: 10.3892/mmr.2015.3495] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2014] [Accepted: 02/17/2015] [Indexed: 11/06/2022] Open
Abstract
Colorectal cancer (CRC) is the third most common cancer worldwide. Chemotherapeutic compounds used for the treatment of CRC include oxaliplatin (L-OHP). While L-OHP improves CRC survival, certain patients are resistant. The nitrogen permease regulator like-2 (NPRL2) gene is a candidate tumor suppressor gene that resides in a 120-kb homozygous deletion region on chromosome 3p21.3. In the present study, it was demonstrated that NPRL2 overexpression increases the sensitivity of HCT116 cells to L-OHP. The IC50 of L-OHP was decreased in cells transduced with NPRL2 compared with negative control (NC) cells and the effect of NPRL2 on L-OHP sensitivity was time dependent. Following NPRL2 transduction in HCT116 cells, the cell cycle was arrested in the G1 phase and a partial decrease in the S phase population was observed. Flow cytometric analysis revealed that NPRL2 transduction and L-OHP treatment increased apoptosis compared with NC cells. The mechanism through which NPRL2 overexpression enhances L-OHP sensitivity involves downregulation of the functions of the phosphatidylinositol 3-kinase/Akt/mammalian target of rapamycin network. Furthermore, L-OHP upregulated caspase-3 and caspase-9 to promote apoptosis in NPRL2-overexpressing cells compared with cells that were transduced with NPRL2 or treated with L-OHP and NC cells (P<0.01). NPRL2 overexpression led to the downregulation of CD24, which could significantly reduce tumor invasiveness and decrease the metastatic capacity of HCT116 cells. These mechanisms are likely active in other types of cancer and may be exploited for the development of novel cancer therapies.
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Affiliation(s)
- Ming-Na Liu
- Department of Gastroenterology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150080, P.R. China
| | - Ai-Yun Liu
- Department of Gastroenterology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150080, P.R. China
| | - Ya-Ju Du
- Department of Gastroenterology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150080, P.R. China
| | - Feng-Hua Pei
- Department of Gastroenterology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150080, P.R. China
| | - Xin-Hong Wang
- Department of Gastroenterology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150080, P.R. China
| | - Jing Chen
- Department of Gastroenterology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150080, P.R. China
| | - Dan Liu
- Department of Gastroenterology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150080, P.R. China
| | - Bing-Rong Liu
- Department of Gastroenterology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150080, P.R. China
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Chen K, Xia G, Zhang C, Sun Y. Correlation between smoking history and molecular pathways in sporadic colorectal cancer: a meta-analysis. Int J Clin Exp Med 2015; 8:3241-3257. [PMID: 26064214 PMCID: PMC4443048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2014] [Accepted: 02/20/2015] [Indexed: 06/04/2023]
Abstract
BACKGROUND Epidemiological studies have shown that smoking increases the risk for colorectal cancer (CRC). Evidence of the guiding significance of smoking history for molecular classification and molecular targeted anti-tumor therapy is not well established. AIMS To provide indirectly evidence, we conducted a systematic meta-analysis of association between smoking history and different molecular classification. METHODS We searched in multiple databases up to January 2014, and identified 27 eligible studies. All studies were divided into seven groups based on different molecular alteration categories, which are MSI, CIMP, and three molecular pathway-associated gene alterations (APC, KRAS, P53, BRAF mutation, and APC methylation). Crude odds ratios (ORs) and their 95% confidence intervals (CIs) were calculated to evaluate the association. RESULTS Smoking showed a significantly positive correlation with P53 mutation (exons 4 to 8), BRAF (codon 600) mutation, MSI positivity, and CIMP positivity, with ORs of 1.25 (95% CI: 1.07-1.45), 1.41 (95% CI: 1.18-1.68), 1.28 (95% CI: 1.12-1.47), and 1.23 (95% CI: 1.01-1.50), respectively. However, smoking was not positively correlated with APC (mutation cluster region) and KRAS (codons 12 and 13) mutation in sporadic CRC patients. CONCLUSIONS These findings suggested smoking history occurred with P53 mutation, BRAF mutation, MSI positivity, and CIMP positivity in sporadic CRCs; and could guide those specifically therapeutic designs when molecular classification with genetic test was infeasible. More associated studies should be conducted for strengthening and renewing the current result.
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Affiliation(s)
- Ke Chen
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiaotong University of MedicineShanghai 200025, China
| | - Guanggai Xia
- Department of Gastrointestinopancreatic Surgery, The First Affiliated Hospital of Sun Yat-Sen UniversityGuangzhou 510089, China
| | - Changhua Zhang
- Department of Gastrointestinopancreatic Surgery, The First Affiliated Hospital of Sun Yat-Sen UniversityGuangzhou 510089, China
| | - Yunwei Sun
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiaotong University of MedicineShanghai 200025, China
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Yang B, Jacobs EJ, Gapstur SM, Stevens V, Campbell PT. Active Smoking and Mortality Among Colorectal Cancer Survivors: The Cancer Prevention Study II Nutrition Cohort. J Clin Oncol 2015; 33:885-93. [DOI: 10.1200/jco.2014.58.3831] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Purpose Active smoking is associated with higher colorectal cancer risk, but its association with survival after colorectal cancer diagnosis is unclear. We investigated associations of smoking, before and after diagnosis, with all-cause and colorectal cancer–specific mortality among colorectal cancer survivors. Patients and Methods From a cohort of adults who were initially free of colorectal cancer, we identified 2,548 persons diagnosed with invasive, nonmetastatic colorectal cancer between baseline (1992 or 1993) and 2009. Vital status and cause of death were determined through 2010. Smoking was self-reported on the baseline questionnaire and updated in 1997 and every 2 years thereafter. Postdiagnosis smoking information was available for 2,256 persons (88.5%). Results Among the 2,548 colorectal cancer survivors, 1,074 died during follow-up, including 453 as a result of colorectal cancer. In multivariable-adjusted Cox proportional hazards regression models, prediagnosis current smoking was associated with higher all-cause mortality (relative risk [RR], 2.12; 95% CI, 1.65 to 2.74) and colorectal cancer–specific mortality (RR, 2.14; 95% CI, 1.50 to 3.07), whereas former smoking was associated with higher all-cause mortality (RR, 1.18; 95% CI, 1.02 to 1.36) but not with colorectal cancer–specific mortality (RR, 0.89; 95% CI, 0.72 to 1.10). Postdiagnosis current smoking was associated with higher all-cause (RR, 2.22; 95% CI, 1.58 to 3.13) and colorectal cancer–specific mortality (RR, 1.92; 95% CI, 1.15 to 3.21), whereas former smoking was associated with all-cause mortality (RR, 1.21; 95% CI, 1.03 to 1.42). Conclusion This study adds to the existing evidence that cigarette smoking is associated with higher all-cause and colorectal cancer–specific mortality among persons with nonmetastatic colorectal cancer.
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Affiliation(s)
- Baiyu Yang
- All authors: American Cancer Society; and Baiyu Yang, Emory University, Atlanta, GA
| | - Eric J. Jacobs
- All authors: American Cancer Society; and Baiyu Yang, Emory University, Atlanta, GA
| | - Susan M. Gapstur
- All authors: American Cancer Society; and Baiyu Yang, Emory University, Atlanta, GA
| | - Victoria Stevens
- All authors: American Cancer Society; and Baiyu Yang, Emory University, Atlanta, GA
| | - Peter T. Campbell
- All authors: American Cancer Society; and Baiyu Yang, Emory University, Atlanta, GA
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