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Habeshian TS, Park SY, Conti D, Wilkens LR, Marchand LL, Setiawan VW. Inflammatory and insulinemic dietary and lifestyle patterns and incidence of endometrial cancer: the multiethnic cohort. Am J Clin Nutr 2025:S0002-9165(25)00237-0. [PMID: 40288582 DOI: 10.1016/j.ajcnut.2025.04.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Revised: 04/14/2025] [Accepted: 04/21/2025] [Indexed: 04/29/2025] Open
Abstract
BACKGROUND The incidence of endometrial cancer (EC) is increasing, particularly among racial and ethnic minority groups. Obesity is an established EC risk factor, and obesity-related inflammation and hyperinsulinemia may play an important role in EC etiology. OBJECTIVES We examined the association of 5 empirical hypothesis-oriented dietary and lifestyle indices, which assess the inflammatory and insulinemic potentials of diet and lifestyle, with risk of EC in ethnically diverse females. METHODS We included 60,441 female participants from the multiethnic cohort study, a cohort-based in the United States, who were African American, Japanese American, Latino, Native Hawaiian, or White, aged 45-75 y at baseline in 1993-1996. Using a quantitative food frequency questionnaire at baseline, we computed the empirical dietary inflammatory pattern (EDIP), empirical dietary index for hyperinsulinemia (EDIH), empirical lifestyle index for hyperinsulinemia (ELIH), empirical dietary index for insulin resistance (EDIR), and empirical lifestyle index for insulin resistance (ELIR). Multivariable Cox models adjusting for known risk factors for EC were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between each index (using quintiles) and EC risk. RESULTS We identified 1328 incident EC cases with a median follow-up of 25.2 y (IQR = 7.4 y). Females with higher ELIH had an increased risk of EC (HRQ5vsQ1 = 2.58, 95% CI: 2.16, 3.09; Ptrend < 0.01). Similarly, higher ELIR was significantly associated with an increased risk of EC (HRQ5vsQ1 = 2.89, 95% CI: 2.37, 3.53; Ptrend < 0.01). EDIP, EDIH, and EDIR were not associated with EC risk. Increased risk of EC with ELIH (all Ptrend < 0.01) and ELIR (all Ptrend < 0.01) was found in all racial and ethnic groups. CONCLUSIONS In this ethnically diverse cohort, lifestyle patterns with higher insulinemic potential were associated with an increased risk of EC. Lifestyle changes that include more physical activity and achieving a healthy body weight, in addition to reducing insulinemic and diets, may lower EC risk.
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Affiliation(s)
- Talar S Habeshian
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
| | - Song-Yi Park
- Cancer Epidemiology, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i, Honolulu, HI, United States
| | - David Conti
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States
| | - Lynne R Wilkens
- Cancer Epidemiology, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i, Honolulu, HI, United States
| | - Loïc Le Marchand
- Cancer Epidemiology, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i, Honolulu, HI, United States
| | - Veronica Wendy Setiawan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States
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Moreira AD, de Menezes ST, Camelo LV, Barreto SM. Response to comments on: "Cancer incidence in ELSA-Brasil: making the case for Population Based Cancer Registries in Brazil". Cancer Epidemiol 2024; 93:102637. [PMID: 39142968 DOI: 10.1016/j.canep.2024.102637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Accepted: 07/25/2024] [Indexed: 08/16/2024]
Affiliation(s)
- Alexandra Dias Moreira
- Escola de Enfermagem, Departamento de Enfermagem Materno-infantil e Saúde Pública (EMI) & Hospital das Clínicas, Universidade Federal de Minas Gerais, Av. Alfredo Balena, 190. Centro, Belo Horizonte, Minas Gerais 30130-100, Brazil.
| | - Sara Teles de Menezes
- Faculdade de Medicina & Hospital das Clínicas Universidade Federal de Minas, Av. Alfredo Balena, 190. Centro, Belo Horizonte, Minas Gerais 30130-100, Brazil
| | - Lidyane V Camelo
- Faculdade de Medicina & Hospital das Clínicas Universidade Federal de Minas, Av. Alfredo Balena, 190. Centro, Belo Horizonte, Minas Gerais 30130-100, Brazil
| | - Sandhi Maria Barreto
- Faculdade de Medicina & Hospital das Clínicas Universidade Federal de Minas, Av. Alfredo Balena, 190. Centro, Belo Horizonte, Minas Gerais 30130-100, Brazil
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Habeshian TS, Peeri NC, De Vivo I, Schouten LJ, Shu XO, Cote ML, Bertrand KA, Chen Y, Clarke MA, Clendenen TV, Cook LS, Costas L, Dal Maso L, Freudenheim JL, Friedenreich CM, Gallagher G, Gierach GL, Goodman MT, Jordan SJ, La Vecchia C, Lacey JV, Levi F, Liao LM, Lipworth L, Lu L, Matias-Guiu X, Moysich KB, Mutter GL, Na R, Naduparambil J, Negri E, O'Connell K, O'Mara TA, Onieva Hernández I, Palmer JR, Parazzini F, Patel AV, Penney KL, Prizment AE, Ricceri F, Risch HA, Sacerdote C, Sandin S, Stolzenberg-Solomon RZ, van den Brandt PA, Webb PM, Wentzensen N, Wijayabahu AT, Wilkens LR, Xu W, Yu H, Zeleniuch-Jacquotte A, Zheng W, Du M, Setiawan VW. Hypertension and Risk of Endometrial Cancer: A Pooled Analysis in the Epidemiology of Endometrial Cancer Consortium (E2C2). Cancer Epidemiol Biomarkers Prev 2024; 33:788-795. [PMID: 38530242 PMCID: PMC11145161 DOI: 10.1158/1055-9965.epi-23-1444] [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: 11/16/2023] [Revised: 01/25/2024] [Accepted: 03/22/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND The incidence rates of endometrial cancer are increasing, which may partly be explained by the rising prevalence of obesity, an established risk factor for endometrial cancer. Hypertension, another component of metabolic syndrome, is also increasing in prevalence, and emerging evidence suggests that it may be associated with the development of certain cancers. The role of hypertension independent of other components of metabolic syndrome in the etiology of endometrial cancer remains unclear. In this study, we evaluated hypertension as an independent risk factor for endometrial cancer and whether this association is modified by other established risk factors. METHODS We included 15,631 endometrial cancer cases and 42,239 controls matched on age, race, and study-specific factors from 29 studies in the Epidemiology of Endometrial Cancer Consortium. We used multivariable unconditional logistic regression models to estimate ORs and 95% confidence intervals (CI) to evaluate the association between hypertension and endometrial cancer and whether this association differed by study design, race/ethnicity, body mass index, diabetes status, smoking status, or reproductive factors. RESULTS Hypertension was associated with an increased risk of endometrial cancer (OR, 1.14; 95% CI, 1.09-1.19). There was significant heterogeneity by study design (Phet < 0.01), with a stronger magnitude of association observed among case-control versus cohort studies. Stronger associations were also noted for pre-/perimenopausal women and never users of postmenopausal hormone therapy. CONCLUSIONS Hypertension is associated with endometrial cancer risk independently from known risk factors. Future research should focus on biologic mechanisms underlying this association. IMPACT This study provides evidence that hypertension may be an independent risk factor for endometrial cancer.
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Affiliation(s)
- Talar S. Habeshian
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, California
- Department of Research and Evaluation, Division of Health Services Research and Implementation Science, Kaiser Permanente Southern California, Pasadena, California
| | - Noah C. Peeri
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Immaculata De Vivo
- Department of Epidemiology, Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts
- Medicine, Harvard Medical School, Boston, Massachusetts
| | - Leo J. Schouten
- Department of Epidemiology, GROW-Research Institute for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Xiao-ou Shu
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Michele L. Cote
- Fairbanks School of Public Health, Department of Epidemiology, Indiana University Simon Comprehensive Cancer Center, Indianapolis, Indiana
| | | | - Yu Chen
- Population Health, New York University School of Medicine, New York, New York
| | - Megan A. Clarke
- Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland
| | - Tess V. Clendenen
- Population Health, New York University School of Medicine, New York, New York
| | - Linda S. Cook
- Epidemiology, Colorado School of Public Health, Aurora, Colorado
| | - Laura Costas
- Cancer Epidemiology Research Programme, Institut Català d'Oncologia, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health - CIBERESP, Carlos III Institute of Health, Madrid, Spain
| | - Luigino Dal Maso
- Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano, Italy
| | - Jo L. Freudenheim
- Department of Epidemiology and Environmental Health, University at Buffalo, State University of New York, Buffalo, New York
| | - Christine M. Friedenreich
- Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
| | - Grace Gallagher
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Gretchen L. Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Marc T. Goodman
- Cancer Prevention and Control Program, Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Susan J. Jordan
- School of Public Health, University of Queensland, Herston, Queensland, Australia
| | - Carlo La Vecchia
- Department of Clinical Medicine and Community Health, University of Milan, Milan, Italy
| | - James V. Lacey
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, California
| | - Fabio Levi
- Epidemiology and Health Services Research, University of Lausanne, Lausanne, Switzerland
| | - Linda M. Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Loren Lipworth
- Department of Medicine, Vanderbilt University, Nashville, Tennessee
| | - Lingeng Lu
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Xavier Matias-Guiu
- Department of Pathology, University Hospital of Bellvitge, IDIBELL, Barcelona, Spain
| | - Kirsten B. Moysich
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | - Renhua Na
- Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Jeffin Naduparambil
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Eva Negri
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Kelli O'Connell
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Tracy A. O'Mara
- Cancer Research Program, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Irene Onieva Hernández
- Faculty of Medicine, Cancer Epidemiology Research Programme and University of Barcelona, Institut Català d'Oncologia, Barcelona, Spain
| | - Julie R. Palmer
- Slone Epidemiology Center and Department of Medicine, Boston University, Boston, Massachusetts
| | - Fabio Parazzini
- Department of Clinical Medicine and Community Health, University of Milan, Milan, Italy
| | - Alpa V. Patel
- Population Science, American Cancer Society, Kennesaw, Georgia
| | - Kathryn L. Penney
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, Massachusetts
| | - Anna E. Prizment
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy
| | - Harvey A. Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Azienda Ospedaliera Citta' della Salute e della Scienza di Torino, Turin, Italy
| | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | | | - Penelope M. Webb
- Population Health Program, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | | | | | - Lynne R. Wilkens
- Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Wanghong Xu
- Epidemiology, Fudan University School of Public Health, Shanghai, China
| | - Herbert Yu
- Cancer Center, University of Hawaii, Honolulu, Hawaii
| | | | - Wei Zheng
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Mengmeng Du
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Veronica Wendy Setiawan
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, California
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
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Liu L, Habeshian TS, Zhang J, Peeri NC, Du M, De Vivo I, Setiawan VW. Differential trends in rising endometrial cancer incidence by age, race, and ethnicity. JNCI Cancer Spectr 2023; 7:6982563. [PMID: 36625534 PMCID: PMC9904185 DOI: 10.1093/jncics/pkad001] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 12/27/2022] [Indexed: 01/11/2023] Open
Abstract
Endometrial cancer (EC) incidence is on the rise. Although early-onset endometrial cancer (EOEC; age at diagnosis <50 years) is relatively uncommon, the incidence of EOEC has been reportedly increasing in recent decades. However, the rising EOEC has not been thoroughly described with regard to the racial and ethnic disparities and compared with late-onset EC (age at diagnosis ≥50 years). We used the Cancer in North America (CiNA) Analytic File, 1995-2018, from the North American Association of Central Cancer Registries, which allowed us to examine trends in invasive EC incidence by racial and ethnic groups and by age at diagnosis. We found striking differences for demographic and tumor characteristics as well as racial and ethnic patterns and time trends in EC incidence between EOEC and late-onset EC. The faster increases in EOEC incidence rates, especially among non-White women, mirror similar observations in other cancers, pointing to a possible link with rising obesity epidemic in younger generations.
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Affiliation(s)
| | | | - Juanjuan Zhang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Noah C Peeri
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mengmeng Du
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Veronica Wendy Setiawan
- Correspondence to: Veronica Wendy Setiawan, PhD, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1450 Biggy St, NRT 1502A, Los Angeles, CA 90033, USA (e-mail: )
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5
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Anbari K, Amiri MM, Heidari-Soureshjani S, Sherwin CM, Kasiri K. A Systematic Review and Meta-analysis on the Role of Statins in the Prevention of Mortality Following Pancreatic Cancer. Anticancer Agents Med Chem 2023; 23:2073-2082. [PMID: 37622694 DOI: 10.2174/1871520623666230824095226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 06/28/2023] [Accepted: 07/11/2023] [Indexed: 08/26/2023]
Abstract
BACKGROUND Pancreatic cancer (PC) is a type of cancer with a high incidence and case-fatality rate. OBJECTIVE This study aimed to evaluate the role of statins in preventing mortality following PC based on scientific evidence with systematic review and meta-analysis method. METHODS This meta-analysis considered studies published from 1980 till the end of 2022 in ISI Web of Science, Scopus, PubMed, Cochrane, Science Direct, Google Scholar, and Embase databases. Funnel diagrams and Begg's and Egger's tests were used to assess the publication bias. RESULTS In general, this meta-analysis has included 19 studies (13 cohort studies, 4 case-control, and 2 randomized clinical trials (RCTs)) and a total of 100,888 patients with PC. The risk of mortality of PC in statin users in total was 0.86 (95% CI: 0.80 - 0.92, P-value <0.001); in the case-control studies, it was equal to 0.53 (0.34-0.83); in the cohort studies, it was equal to 0.87 (0.82-0.92, P-value <0.001); in RCTs, it was equal to 1.19 (0.99-1.42, P-value <0.001); in studies with good quality score category, it was equal to 0.92 (0.86-0.99, P-value <0.001), and in articles of the moderate quality score category, it was equal to 0.73 (0.64-0.84, P-value <0.001). The results of statistical tests indicated the existence of publication bias (Begg's test (P-value = 0.002) and Egger's test (P-value = 0.004)). CONCLUSION Statins reduce the risk of mortality in patients with PC. However, no significant relation has been observed in RCTs. Therefore, it is necessary to be cautious in interpreting the results.
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Affiliation(s)
- Khatereh Anbari
- Department of Community Medicine, School of Medicine, Social Determinant of Health Research Center, Lorestan University of Medical Science, Khorramabad, Iran
| | - Mehdi Mohammadian Amiri
- Department of Emergency Medicine, School of Medicine, Babol University of Medical Sciences, Mazandaran, Iran
| | | | - Catherine Mt Sherwin
- Pediatric Clinical Pharmacology and Toxicology, Department of Pediatrics, Wright State University Boonshoft School of Medicine, Dayton Children's Hospital, One Children's Plaza, Dayton, Ohio, USA
| | - Karamali Kasiri
- Department of Pediatrics, Shahrekord University of Medical Sciences, Shahrekord, Iran
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6
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Peremiquel-Trillas P, Frias-Gomez J, Alemany L, Ameijide A, Vilardell M, Marcos-Gragera R, Paytubi S, Ponce J, Martínez JM, Pineda M, Brunet J, Matías-Guiu X, Carulla M, Galceran J, Izquierdo Á, Borràs JM, Costas L, Clèries R. Predicting Ovarian-Cancer Burden in Catalonia by 2030: An Age-Period-Cohort Modelling. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031404. [PMID: 35162436 PMCID: PMC8834772 DOI: 10.3390/ijerph19031404] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/21/2022] [Accepted: 01/22/2022] [Indexed: 02/01/2023]
Abstract
Ovarian cancer is the most lethal gynaecological cancer in very-high-human-development-index regions. Ovarian cancer incidence and mortality rates are estimated to globally rise by 2035, although incidence and mortality rates depend on the region and prevalence of the associated risk factors. The aim of this study is to assess changes in incidence and mortality of ovarian cancer in Catalonia by 2030. Bayesian autoregressive age–period–cohort models were used to predict the burden of OC incidence and mortality rates for the 2015–2030 period. Incidence and mortality rates of ovarian cancer are expected to decline in Catalonia by 2030 in women ≥ 45 years of age. A decrease in ovarian-cancer risk was observed with increasing year of birth, with a rebound in women born in the 1980s. A decrease in mortality was observed for the period of diagnosis and period of death. Nevertheless, ovarian-cancer mortality remains higher among older women compared to other age groups. Our study summarizes the most plausible scenario for ovarian-cancer changes in terms of incidence and mortality in Catalonia by 2030, which may be of interest from a public health perspective for policy implementation.
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Affiliation(s)
- Paula Peremiquel-Trillas
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (P.P.-T.); (J.F.-G.); (L.A.); (S.P.)
- Bellvitge Biomedical Research Institute-IDIBELL, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (J.P.); (J.M.M.); (J.B.); (X.M.-G.); (J.M.B.)
- Faculty of Medicine, University of Barcelona, C/Casanova 143, 08036 Barcelona, Spain
| | - Jon Frias-Gomez
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (P.P.-T.); (J.F.-G.); (L.A.); (S.P.)
- Bellvitge Biomedical Research Institute-IDIBELL, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (J.P.); (J.M.M.); (J.B.); (X.M.-G.); (J.M.B.)
- Faculty of Medicine, University of Barcelona, C/Casanova 143, 08036 Barcelona, Spain
| | - Laia Alemany
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (P.P.-T.); (J.F.-G.); (L.A.); (S.P.)
- Bellvitge Biomedical Research Institute-IDIBELL, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (J.P.); (J.M.M.); (J.B.); (X.M.-G.); (J.M.B.)
- Consortium for Biomedical Research in Epidemiology and Public Health-CIBERESP, Carlos III Institute of Health, Av. De Monforte de Lemos 5, 28029 Madrid, Spain;
| | - Alberto Ameijide
- Tarragona Cancer Registry, Cancer Epidemiology and Prevention Service, Sant Joan de Reus University Hospital, Av. Dr. Josep Laporte 2, 43204 Reus, Spain; (A.A.); (M.C.); (J.G.)
- Pere Virgili Health Research Institute-IISPV, Rovira i Virgili University, Av. de la Universitat, 1, 2ª pl. Reus, 43204 Tarragona, Spain
| | | | - Rafael Marcos-Gragera
- Consortium for Biomedical Research in Epidemiology and Public Health-CIBERESP, Carlos III Institute of Health, Av. De Monforte de Lemos 5, 28029 Madrid, Spain;
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Catalan Institute of Oncology, Department of Health, Government of Catalonia, Av. França-Sant Ponç s/n, 17007 Girona, Spain;
- Descriptive Epidemiology, Genetics and Cancer Prevention Research Group, Girona Biomedical Research Institute-IDIBGI. C/Dr. Castany s/n. Edifici M2, Parc Hospitalari Martí i Julià, 17190 Salt, Spain
- Medical Sciences Department, Faculty of Medicine, University of Girona, C/Emili Grahit 77, 17071 Girona, Spain
| | - Sònia Paytubi
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (P.P.-T.); (J.F.-G.); (L.A.); (S.P.)
- Bellvitge Biomedical Research Institute-IDIBELL, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (J.P.); (J.M.M.); (J.B.); (X.M.-G.); (J.M.B.)
| | - Jordi Ponce
- Bellvitge Biomedical Research Institute-IDIBELL, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (J.P.); (J.M.M.); (J.B.); (X.M.-G.); (J.M.B.)
- Department of Gynecology and Obstetrics, Bellvitge University Hospital, Feixa Llarga s/n, L’Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - José Manuel Martínez
- Bellvitge Biomedical Research Institute-IDIBELL, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (J.P.); (J.M.M.); (J.B.); (X.M.-G.); (J.M.B.)
- Department of Gynecology and Obstetrics, Bellvitge University Hospital, Feixa Llarga s/n, L’Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Marta Pineda
- Hereditary Cancer Programme, Catalan Institute of Oncology, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain;
| | - Joan Brunet
- Bellvitge Biomedical Research Institute-IDIBELL, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (J.P.); (J.M.M.); (J.B.); (X.M.-G.); (J.M.B.)
- Hereditary Cancer Programme, Catalan Institute of Oncology, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain;
- Consortium for Biomedical Research in Cancer-CIBERONC, Carlos III Institute of Health, Av. De Monforte de Lemos 5, 28029 Madrid, Spain
- Medical Oncology Department, Catalan Institute of Oncology, Doctor Josep Trueta Girona University Hospital, Av. França-Sant Ponç s/n, 17007 Girona, Spain
| | - Xavier Matías-Guiu
- Bellvitge Biomedical Research Institute-IDIBELL, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (J.P.); (J.M.M.); (J.B.); (X.M.-G.); (J.M.B.)
- Consortium for Biomedical Research in Cancer-CIBERONC, Carlos III Institute of Health, Av. De Monforte de Lemos 5, 28029 Madrid, Spain
- Department of Pathology, Bellvitge University Hospital, Feixa Llarga s/n, L’Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Marià Carulla
- Tarragona Cancer Registry, Cancer Epidemiology and Prevention Service, Sant Joan de Reus University Hospital, Av. Dr. Josep Laporte 2, 43204 Reus, Spain; (A.A.); (M.C.); (J.G.)
- Pere Virgili Health Research Institute-IISPV, Rovira i Virgili University, Av. de la Universitat, 1, 2ª pl. Reus, 43204 Tarragona, Spain
| | - Jaume Galceran
- Tarragona Cancer Registry, Cancer Epidemiology and Prevention Service, Sant Joan de Reus University Hospital, Av. Dr. Josep Laporte 2, 43204 Reus, Spain; (A.A.); (M.C.); (J.G.)
- Pere Virgili Health Research Institute-IISPV, Rovira i Virgili University, Av. de la Universitat, 1, 2ª pl. Reus, 43204 Tarragona, Spain
| | - Ángel Izquierdo
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Catalan Institute of Oncology, Department of Health, Government of Catalonia, Av. França-Sant Ponç s/n, 17007 Girona, Spain;
- Hereditary Cancer Programme, Catalan Institute of Oncology, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain;
- Medical Oncology Department, Catalan Institute of Oncology, Doctor Josep Trueta Girona University Hospital, Av. França-Sant Ponç s/n, 17007 Girona, Spain
- Statistical Section, Genetics, Microbiology and Statistics Department, Faculty of Biology, University of Barcelona, Av. Diagonal 643, 08028 Barcelona, Spain
| | - Josep M. Borràs
- Bellvitge Biomedical Research Institute-IDIBELL, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (J.P.); (J.M.M.); (J.B.); (X.M.-G.); (J.M.B.)
- Oncology Coordination Plan, Catalan Institute of Oncology, Department of Health, Government of Catalonia, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain
| | - Laura Costas
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (P.P.-T.); (J.F.-G.); (L.A.); (S.P.)
- Bellvitge Biomedical Research Institute-IDIBELL, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (J.P.); (J.M.M.); (J.B.); (X.M.-G.); (J.M.B.)
- Consortium for Biomedical Research in Epidemiology and Public Health-CIBERESP, Carlos III Institute of Health, Av. De Monforte de Lemos 5, 28029 Madrid, Spain;
- Correspondence: (L.C.); (R.C.); Tel.: +34-93-260-78-12 or +34-93-260-32-10 (L.C.); +34-93-260-74-17 (R.C.)
| | - Ramon Clèries
- Bellvitge Biomedical Research Institute-IDIBELL, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain; (J.P.); (J.M.M.); (J.B.); (X.M.-G.); (J.M.B.)
- Oncology Coordination Plan, Catalan Institute of Oncology, Department of Health, Government of Catalonia, Av. Gran Vía 199-203, L’Hospitalet de Llobregat, 08908 Barcelona, Spain
- Clinical Sciences Department, Faculty of Medicine, University of Barcelona, Feixa Llarga s/n, L’Hospitalet de Llobregat, 08907 Barcelona, Spain
- Correspondence: (L.C.); (R.C.); Tel.: +34-93-260-78-12 or +34-93-260-32-10 (L.C.); +34-93-260-74-17 (R.C.)
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Challenges and Opportunities in the Statistical Analysis of Multiplex Immunofluorescence Data. Cancers (Basel) 2021; 13:cancers13123031. [PMID: 34204319 PMCID: PMC8233801 DOI: 10.3390/cancers13123031] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/11/2021] [Accepted: 06/14/2021] [Indexed: 12/21/2022] Open
Abstract
Simple Summary Immune modulation is considered a hallmark of cancer initiation and progression, and has offered promising opportunities for therapeutic manipulation. Multiplex immunofluorescence (mIF) technology has enabled the tumor immune microenvironment (TIME) to be studied at an increased scale, in terms of both the number of markers and the number of samples. Another benefit of mIF technology is the ability to measure not only the abundance but also the spatial location of multiple cells types within a tissue sample simultaneously, allowing for assessment of the co-localization of different types of immune markers. Thus, the use of mIF technologies have enable researchers to characterize patient, clinical, and tumor characteristics in the hope of identifying patients whom might benefit from immunotherapy treatments. In this review we outline some of the challenges and opportunities in the statistical analyses of mIF data to study the TIME. Abstract Immune modulation is considered a hallmark of cancer initiation and progression. The recent development of immunotherapies has ushered in a new era of cancer treatment. These therapeutics have led to revolutionary breakthroughs; however, the efficacy of immunotherapy has been modest and is often restricted to a subset of patients. Hence, identification of which cancer patients will benefit from immunotherapy is essential. Multiplex immunofluorescence (mIF) microscopy allows for the assessment and visualization of the tumor immune microenvironment (TIME). The data output following image and machine learning analyses for cell segmenting and phenotyping consists of the following information for each tumor sample: the number of positive cells for each marker and phenotype(s) of interest, number of total cells, percent of positive cells for each marker, and spatial locations for all measured cells. There are many challenges in the analysis of mIF data, including many tissue samples with zero positive cells or “zero-inflated” data, repeated measurements from multiple TMA cores or tissue slides per subject, and spatial analyses to determine the level of clustering and co-localization between the cell types in the TIME. In this review paper, we will discuss the challenges in the statistical analysis of mIF data and opportunities for further research.
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8
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Racial-Ethnic and Socioeconomic Disparities in Guideline-Adherent Treatment for Endometrial Cancer. Obstet Gynecol 2021; 138:21-31. [PMID: 34259460 PMCID: PMC10403994 DOI: 10.1097/aog.0000000000004424] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 03/04/2021] [Indexed: 01/22/2023]
Abstract
OBJECTIVE To evaluate the association of race-ethnicity and neighborhood socioeconomic status with adherence to National Comprehensive Cancer Network guidelines for endometrial carcinoma. METHODS Data are from the SEER (Surveillance, Epidemiology, and End Results) cancer registry of women diagnosed with endometrial carcinoma for the years 2006-2015. The sample included 83,883 women after inclusion and exclusion criteria were applied. Descriptive statistics, bivariate analyses, univariate, and multivariate logistic regression models were performed to evaluate the association between race-ethnicity and neighborhood socioeconomic status with adherence to treatment guidelines. RESULTS After controlling for demographic and clinical covariates, Black (odds ratio [OR] 0.89, P<.001), Latina (OR .92, P<.001), and American Indian or Alaska Native (OR 0.82, P=.034) women had lower odds of receiving adherent treatment and Asian (OR 1.14, P<.001) and Native Hawaiian or Pacific Islander (OR 1.19 P=.012) women had higher odds of receiving adherent treatment compared with White women. After controlling for covariates, there was a gradient by neighborhood socioeconomic status: women in the high-middle (OR 0.89, P<.001), middle (OR 0.84, P<.001), low-middle (OR 0.80, P<.001), and lowest (OR 0.73, P<.001) neighborhood socioeconomic status categories had lower odds of receiving adherent treatment than the those in the highest neighborhood socioeconomic status group. CONCLUSIONS Findings from this study suggest there are racial-ethnic and neighborhood socioeconomic disparities in National Comprehensive Cancer Network treatment adherence for endometrial cancer. Standard treatment therapies should not differ based on sociodemographics. Interventions are needed to ensure that equitable cancer treatment practices are available for all individuals, regardless of racial-ethnic or socioeconomic background.
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9
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Gulbahar A, Yilmaz A, Cokmez H. Effect of coexisting adenomyosis on patients with endometrioid adenocarcinoma: Determination of intraoperative risk factors for tumor metastasis and estimation of prognosis. J Cancer Res Ther 2021; 18:599-602. [DOI: 10.4103/jcrt.jcrt_1277_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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10
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Weeks KS, Lynch CF, West M, McDonald M, Carnahan R, Stewart SL, Charlton M. Impact of Rurality on Stage IV Ovarian Cancer at Diagnosis: A Midwest Cancer Registry Cohort Study. J Rural Health 2020; 36:468-475. [PMID: 32077162 DOI: 10.1111/jrh.12419] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE We aim to understand if rurality impacts patients' odds of presenting with stage IV ovarian cancer at diagnosis independent of distance to primary care provider and the socioeconomic status of a patient's residential census tract. METHODS A cohort of 1,000 women with ovarian cancer in Iowa, Kansas, and Missouri were sampled and analyzed from the cancer registries' statewide population data. The sample contained those with a histologically confirmed primary ovarian cancer diagnosis in 2011-2012. All variables were captured through an extension of standard registry protocol using standardized definitions and abstraction manuals. Chi-square tests and a multivariable logistic regression model were used. FINDINGS At diagnosis, 111 women in our sample had stage IV cancer and 889 had stage I-III. Compared to patients with stage I-III cancer, patients with stage IV disease had a higher average age, more comorbidities, and were more often living in rural areas. Multivariate analysis showed that rural women (vs metropolitan) had a greater odds of having stage IV ovarian cancer at diagnosis (odds ratio = 2.41 and 95% confidence interval = 1.33-4.39). CONCLUSION Rural ovarian cancer patients have greater odds of having stage IV cancer at diagnosis in Midwestern states independent of the distance they lived from their primary care physician and the socioeconomic status of their residential census tract. Rural women's greater odds of stage IV cancer at diagnosis could affect treatment options and mortality. Further investigation is needed into reasons for these findings.
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Affiliation(s)
- Kristin S Weeks
- Carver College of Medicine, University of Iowa, Iowa City, Iowa.,Department of Epidemiology, University of Iowa, Iowa City, Iowa
| | - Charles F Lynch
- Department of Epidemiology, University of Iowa, Iowa City, Iowa.,Iowa Cancer Registry, State Health Registry of Iowa, University of Iowa, Iowa City, Iowa
| | - Michele West
- Iowa Cancer Registry, State Health Registry of Iowa, University of Iowa, Iowa City, Iowa
| | - Megan McDonald
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Iowa Hospitals and Clinics, Iowa City, Iowa
| | - Ryan Carnahan
- Department of Epidemiology, University of Iowa, Iowa City, Iowa
| | - Sherri L Stewart
- Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia
| | -
- Lisa L. Hunter (Iowa Cancer Registry); Sue-Min Lai, Sarma Garimella, John Keighley, & Li Huang (Kansas Cancer Registry); Jeannette Jackson-Thompson, Nancy Hunt Rold, Chester L. Schmaltz, & Saba Yemane (Missouri Cancer Registry); Wilhelmina Ross, Diane Ng, & Maricarmen Traverso-Ortiz (Westat); Jennifer M. Wike (CDC contractor); Trevor D. Thompson, Sun Hee Rim, & Angela Moore (CDC)
| | - Mary Charlton
- Department of Epidemiology, University of Iowa, Iowa City, Iowa.,Iowa Cancer Registry, State Health Registry of Iowa, University of Iowa, Iowa City, Iowa
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11
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Wijayabahu AT, Egan KM, Yaghjyan L. Uterine cancer in breast cancer survivors: a systematic review. Breast Cancer Res Treat 2020; 180:1-19. [PMID: 31897901 DOI: 10.1007/s10549-019-05516-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 12/21/2019] [Indexed: 01/17/2023]
Abstract
PURPOSE Epidemiological evidence on the risk factors for uterine/endometrial cancer in breast cancer (BCa) survivors is limited and inconsistent. Therefore, we critically reviewed and summarized available evidence related to the risk factors for uterine/endometrial cancer in BCa survivors. METHODS We conducted a literature search through PubMed, Web of Science Core Collection/Cited Reference Search, as well as through manual searches of the bibliographies of the articles identified in electronic searches. We included in this review studies that were published up to November 30, 2018 that were accessible in full-text format and were published in English. RESULTS Of the 27 eligible studies, 96% had > 700 participants, 74% were prospective cohorts, 70% originated outside of the US, 44% reported as having pre-/postmenopausal women, and 26% reported having racially heterogeneous populations. Risk factors positively associated with uterine/endometrial cancer risk among BCa survivors included age at BCa diagnosis > 50 years, African American race, greater BMI/weight gain, and Tamoxifen treatment. For other lifestyle, reproductive and clinical factors, associations were either not significant (parity) or inconsistent (HRT use, menopausal status, smoking status) or had limited evidence (alcohol intake, family history of cancer, age at first birth, oral contraceptive use, age at menopause, comorbidities). CONCLUSION We identified several methodological concerns and limitations across epidemiological studies on potential risk factors for uterine/endometrial cancer in BCa survivors, including lack of details on uterine/endometrial cancer case ascertainment, varying and imprecise definitions of important covariates, insufficient adjustment for potential confounders, and small numbers of uterine/endometrial cancer cases in the overall as well as stratified analyses. Based on the available evidence, older age and higher body weight measures appear to be a shared risk factor for uterine/endometrial cancer in the general population as well as in BCa survivors. In addition, there is suggestive evidence that African American BCa survivors have a higher risk of uterine/endometrial cancer as compared to their White counterparts. There is also evidence that Tamoxifen contributes to uterine/endometrial cancer in BCa survivors. Given limitations of existing studies, more thorough investigation of these associations is warranted to identify additional preventive strategies needed for BCa survivors to reduce uterine/endometrial cancer risk and improve overall survival.
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Affiliation(s)
- Akemi T Wijayabahu
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Rd, Gainesville, FL, 32610, USA
| | - Kathleen M Egan
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL, 33612, USA
| | - Lusine Yaghjyan
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Rd, Gainesville, FL, 32610, USA.
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12
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Zeleznik OA, Eliassen AH, Kraft P, Poole EM, Rosner BA, Jeanfavre S, Deik AA, Bullock K, Hitchcock DS, Avila-Pacheco J, Clish CB, Tworoger SS. A Prospective Analysis of Circulating Plasma Metabolites Associated with Ovarian Cancer Risk. Cancer Res 2020; 80:1357-1367. [PMID: 31969373 DOI: 10.1158/0008-5472.can-19-2567] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 12/16/2019] [Accepted: 01/17/2020] [Indexed: 12/13/2022]
Abstract
Ovarian cancer has few known risk factors, hampering identification of high-risk women. We assessed the association of prediagnostic plasma metabolites (N = 420) with risk of epithelial ovarian cancer, including both borderline and invasive tumors. A total of 252 cases and 252 matched controls from the Nurses' Health Studies were included. Multivariable logistic regression was used to estimate ORs and 95% confidence intervals (CI), comparing the 90th-10th percentile in metabolite levels, using the permutation-based Westfall and Young approach to account for testing multiple correlated hypotheses. Weighted gene coexpression network analysis (WGCNA; n = 10 metabolite modules) and metabolite set enrichment analysis (n = 23 metabolite classes) were also evaluated. An increase in pseudouridine levels from the 10th to the 90th percentile was associated with a 2.5-fold increased risk of overall ovarian cancer (OR = 2.56; 95% CI, 1.48-4.45; P = 0.001/adjusted P = 0.15); a similar risk estimate was observed for serous/poorly differentiated tumors (n = 176 cases; comparable OR = 2.38; 95% CI, 1.33-4.32; P = 0.004/adjusted P = 0.55). For nonserous tumors (n = 34 cases), pseudouridine and C36:2 phosphatidylcholine plasmalogen had the strongest statistical associations (OR = 9.84; 95% CI, 2.89-37.82; P < 0.001/adjusted P = 0.07; and OR = 0.11; 95% CI, 0.03-0.35; P < 0.001/adjusted P = 0.06, respectively). Five WGCNA modules and 9 classes were associated with risk overall at FDR ≤ 0.20. Triacylglycerols (TAG) showed heterogeneity by tumor aggressiveness (case-only heterogeneity P < 0.0001). The TAG association with risk overall and serous tumors differed by acyl carbon content and saturation. In summary, this study suggests that pseudouridine may be a novel risk factor for ovarian cancer and that TAGs may also be important, particularly for rapidly fatal tumors, with associations differing by structural features. SIGNIFICANCE: Pseudouridine represents a potential novel risk factor for ovarian cancer and triglycerides may be important particularly in rapidly fatal ovarian tumors.
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Affiliation(s)
- Oana A Zeleznik
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - A Heather Eliassen
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Elizabeth M Poole
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Bernard A Rosner
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Sarah Jeanfavre
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | - Amy A Deik
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | - Kevin Bullock
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | - Daniel S Hitchcock
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | - Julian Avila-Pacheco
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | - Clary B Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | - Shelley S Tworoger
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. .,Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
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13
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Hamada T, Yuan C, Bao Y, Zhang M, Khalaf N, Babic A, Morales-Oyarvide V, Cochrane BB, Gaziano JM, Giovannucci EL, Kraft P, Manson JE, Ng K, Nowak JA, Rohan TE, Sesso HD, Stampfer MJ, Amundadottir LT, Fuchs CS, De Vivo I, Ogino S, Wolpin BM. Prediagnostic Leukocyte Telomere Length and Pancreatic Cancer Survival. Cancer Epidemiol Biomarkers Prev 2019; 28:1868-1875. [PMID: 31427306 PMCID: PMC6825575 DOI: 10.1158/1055-9965.epi-19-0577] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Revised: 07/12/2019] [Accepted: 08/13/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Leukocyte telomere length has been associated with risk of subsequent pancreatic cancer. Few prospective studies have evaluated the association of prediagnostic leukocyte telomere length with pancreatic cancer survival. METHODS We prospectively examined the association of prediagnostic leukocyte telomere length with overall survival (OS) time among 423 participants diagnosed with pancreatic adenocarcinoma between 1984 and 2008 within the Health Professionals Follow-up Study, Nurses' Health Study, Physicians' Health Study, and Women's Health Initiative. We measured prediagnostic leukocyte telomere length in banked blood samples using quantitative PCR. Cox proportional hazards models were used to estimate HRs for OS with adjustment for potential confounders. We also evaluated 10 SNPs at the telomerase reverse transcriptase locus. RESULTS Shorter prediagnostic leukocyte telomere length was associated with reduced OS among patients with pancreatic cancer (P trend = 0.04). The multivariable-adjusted HR for OS comparing the lowest with highest quintiles of leukocyte telomere length was 1.39 (95% confidence interval, 1.01-1.93), corresponding to a 3-month difference in median OS time. In an analysis excluding cases with blood collected within 2 years of cancer diagnosis, the association was moderately stronger (HR, 1.55; 95% confidence interval, 1.09-2.21; comparing the lowest with highest quintiles; P trend = 0.01). No prognostic association or effect modification for the prognostic association of prediagnostic leukocyte telomere length was noted in relation to the studied SNPs. CONCLUSIONS Prediagnostic leukocyte telomere length was associated with pancreatic cancer survival. IMPACT Prediagnostic leukocyte telomere length can be a prognostic biomarker in pancreatic cancer.
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Affiliation(s)
- Tsuyoshi Hamada
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
| | - Chen Yuan
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Ying Bao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Mingfeng Zhang
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Natalia Khalaf
- Division of Gastroenterology, Hepatology, and Endoscopy, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Ana Babic
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Vicente Morales-Oyarvide
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | | | - J Michael Gaziano
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Jamaica Plain, Massachusetts
| | - Edward L Giovannucci
- Department of Epidemiology, 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
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Peter Kraft
- 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
| | - JoAnn E Manson
- Department of Epidemiology, 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
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Kimmie Ng
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Jonathan A Nowak
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Howard D Sesso
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Meir J Stampfer
- Department of Epidemiology, 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
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Laufey T Amundadottir
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Charles S Fuchs
- Yale Cancer Center, New Haven, Connecticut
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut
- Smilow Cancer Hospital, New Haven, Connecticut
| | - Immaculata De Vivo
- Department of Epidemiology, 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
| | - Shuji Ogino
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | - Brian M Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
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14
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Boonlak S, Aue-Aungkul A, Kietpeerakool C, Kleebkaow P, Chumworathayi B, Luanratanakorn S, Temtanakitpaisan A. Impact of Coexisting Uterine Adenomyosis on the Survival
Outcome of Patients with Endometrial Cancer: A Retrospective
Cohort Study. Asian Pac J Cancer Prev 2019; 20:1185-1190. [PMID: 31030493 PMCID: PMC6948917 DOI: 10.31557/apjcp.2019.20.4.1185] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
Objective: To determine the effects of uterine adenomyosis on endometrial cancerrecurrence rates. Methods: This retrospective cohort study reviewed all consecutive patients diagnosed with endometrial cancerwho underwent total hysterectomy-based surgical staging at Srinagarind Hospital between January, 2010 and January, 2016. The patientswere divided into two groups:a uterine adenomyosisgroup and a non-adenomyosis group. Patient demographics, type of surgery, histopathology, stage of endometrial cancer, adjuvant treatment, and survival outcomes were compared. Results: A total 350 patients were enrolled, with 132 (37.71%) in the adenomyosis group and 218 (62.29%) in the non-adenomyosis group. Deep myometrial invasion and lymphovascular space invasion (LVSI) were more commonly found among patients who had no adenomyosis compared to those with adenomyosis(52.8% vs 39.4%, P=0.02 and 53.2% vs. 38.6%, P=0.01). There were no significant differences in terms of five-year recurrence-free survival (HR=1.47; 95%CI 0.88-2.44) and five-year overall survival (HR=0.81; 95%CI 0.43-1.53) between the two comparison groups. Conclusion: Coexisting uterine adenomyosis in endometrial cancer wasassociated withdeep myometrial invasion and LVSI but did not have significant impact on survival.
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Affiliation(s)
- Sarana Boonlak
- Department of Obstetrics and Gynecology, Faculty of Medicine, Khon Kaen University, Thailand.
| | - Apiwat Aue-Aungkul
- Department of Obstetrics and Gynecology, Faculty of Medicine, Khon Kaen University, Thailand.
| | - Chumnan Kietpeerakool
- Department of Obstetrics and Gynecology, Faculty of Medicine, Khon Kaen University, Thailand.
| | - Pilaiwan Kleebkaow
- Department of Obstetrics and Gynecology, Faculty of Medicine, Khon Kaen University, Thailand.
| | - Bandit Chumworathayi
- Department of Obstetrics and Gynecology, Faculty of Medicine, Khon Kaen University, Thailand.
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Abstract
OBJECTIVE Low social integration and divorce/widowhood are chronic psychosocial stressors that may affect health. When assessed after cancer diagnosis, they have been associated with poorer survival, but their role in cancer development, particularly ovarian cancer (OvCA), is less understood. We investigated whether social integration and marital status were related to OvCA risk in a large population-based study. METHODS Women from the Nurses' Health Study completed the Berkman-Syme Social Network Index and reported their marital status every 4 years starting in 1992 (N = 72,206), and were followed up until 2012 (20-year follow-up period). Multivariate Cox regression models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) of OvCA risk, considering relevant potential confounders, in lagged analyses whereby psychosocial indicators were assessed 4 to 8 years (n = 436 cases) and 8 to 12 years (n = 306 cases) before diagnosis to account for the effects of prediagnostic symptoms on social measures. Secondary analyses evaluated the stability of and cumulative exposure to these social factors on OvCA risk. RESULTS Being socially isolated versus integrated was related to an increased OvCA risk 8 to 12 years later (HR = 1.51, 95% CI = 1.07-2.13), but not 4 to 8 years later. Compared with married women, OvCA risk was significantly higher in widowed but not in separated/divorced individuals, with both time periods (e.g., 8-12 years later: HRwidowed = 1.57 [95% CI = 1.15-2.14] versus HRseparated/divorced = 1.13 [95% CI = 0.74-1.72]). Estimates were comparable or stronger when investigating stability in and cumulative effects of social indicators. CONCLUSIONS Results suggest higher OvCA risk among socially isolated and widowed women, particularly when such psychosocial stressors were experienced a decade before diagnosis or were sustained over time.
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Hamada T, Khalaf N, Yuan C, Babic A, Morales-Oyarvide V, Qian ZR, Nowak JA, Ng K, Kraft P, Rubinson DA, Stampfer MJ, Giovannucci EL, Fuchs CS, Ogino S, Wolpin BM. Statin use and pancreatic cancer risk in two prospective cohort studies. J Gastroenterol 2018; 53:959-966. [PMID: 29362938 PMCID: PMC7609961 DOI: 10.1007/s00535-018-1430-x] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 01/05/2018] [Indexed: 02/04/2023]
Abstract
BACKGROUND Statins, 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase inhibitors, are common lipid-lowering agents and may reduce the risk of several cancer types including pancreatic cancer. However, the association between statin use and pancreatic cancer risk has not been fully evaluated in prospective studies. METHODS We studied the association between statin use and incident pancreatic cancer in 113,059 participants from the prospective Nurses' Health Study and Health Professionals Follow-up Study. Statin use was self-reported via study questionnaires and updated biennially. Hazard ratios (HRs) and 95% confidence intervals (CIs) for incidence of pancreatic cancer were estimated using multivariable Cox proportional hazards models with adjustment for potential confounders. RESULTS In total, 583 participants developed incident pancreatic cancer during 1.4 million person-years of follow-up. No difference was identified in pancreatic cancer risk for regular versus non-regular statin users (multivariable-adjusted HR 0.98; 95% CI 0.82-1.16). There was no significant heterogeneity in the association of statin use with pancreatic cancer risk between the cohorts. Similarly, longer duration of regular statin use was not associated with decreased risk of pancreatic cancer (Ptrend = 0.65). The results remained similar when we examined statin use status at baseline or accounting for 4-year latency period. We observed no statistically significant effect modification for the association of statin use with pancreatic cancer risk by body mass index, smoking status, or diabetes mellitus status (all Pinteraction > 0.21). CONCLUSIONS Regular statin use was not associated with pancreatic cancer risk in two large prospective cohort studies in the U.S.
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Affiliation(s)
- Tsuyoshi Hamada
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Natalia Khalaf
- Division of Gastroenterology, Hepatology, and Endoscopy, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Chen Yuan
- Department of Medical Oncology, 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
| | - Ana Babic
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Vicente Morales-Oyarvide
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Zhi Rong Qian
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Jonathan A. Nowak
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Kimmie Ng
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Peter Kraft
- 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
| | - Douglas A. Rubinson
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Meir J. Stampfer
- 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 Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Edward L. Giovannucci
- 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 Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Charles S. Fuchs
- Yale Cancer Center, New Haven, CT, USA,Department of Medicine, Yale School of Medicine, New Haven, CT, USA,Smilow Cancer Hospital, New Haven, CT, USA
| | - Shuji Ogino
- Department of Oncologic 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,Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Brian M. Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
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Hamada T, Khalaf N, Yuan C, Morales-Oyarvide V, Babic A, Nowak JA, Qian ZR, Ng K, Rubinson DA, Kraft P, Giovannucci EL, Stampfer MJ, Fuchs CS, Ogino S, Wolpin BM. Prediagnosis Use of Statins Associates With Increased Survival Times of Patients With Pancreatic Cancer. Clin Gastroenterol Hepatol 2018; 16:1300-1306.e3. [PMID: 29474971 PMCID: PMC6056316 DOI: 10.1016/j.cgh.2018.02.022] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 01/29/2018] [Accepted: 02/11/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND & AIMS Statin medications, most commonly prescribed to reduce lipid levels and prevent cardiovascular disease, may be associated with longer survival times of patients with cancer. However, the association of statins with outcomes of patients with pancreatic adenocarcinoma is not clear. METHODS We analyzed the association of statin use before a diagnosis of pancreatic cancer with survival times of 648 participants in the Nurses' Health Study and Health Professionals Follow-up Study who were diagnosed with pancreatic adenocarcinoma from 2000 through 2013. We estimated hazard ratios (HRs) for overall mortality using Cox proportional hazards models with adjustment for potential confounders. We assessed the temporal association between prediagnosis statin use and cancer survival by 2-year lag periods to account for a possible latency period between statin use and cancer survival. RESULTS Regular statin use before diagnosis of pancreatic cancer was associated with modestly prolonged survival compared with nonregular use (adjusted HR, 0.82; 95% CI, 0.69-0.97; P = .02). A 1-month longer median survival was observed in regular statin users compared with nonregular users. Regular statin use within the 2 years prior to cancer diagnosis was most strongly associated with longer survival. We observed no statistically significant effect modification by smoking status, body mass index, diabetes, or cancer stage (all Pinteraction > .53). Regular statin use before diagnosis was similarly associated with survival in the Nurses' Health Study (HR, 0.79; 95% CI, 0.64-0.97) and Health Professionals Follow-up Study (HR, 0.86; 95% CI, 0.63-1.15). CONCLUSIONS Regular statin use before diagnosis of pancreatic cancer was associated with modest increases in survival times in 2 large prospective cohort studies.
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Affiliation(s)
- Tsuyoshi Hamada
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Natalia Khalaf
- Division of Gastroenterology, Hepatology, and Endoscopy, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Chen Yuan
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Vicente Morales-Oyarvide
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Ana Babic
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Jonathan A Nowak
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Zhi Rong Qian
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Kimmie Ng
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Douglas A Rubinson
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Peter Kraft
- 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
| | - Edward L Giovannucci
- Department of Epidemiology, 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; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Meir J Stampfer
- Department of Epidemiology, 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; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Charles S Fuchs
- Yale Cancer Center, New Haven, Connecticut; Department of Medicine, Yale School of Medicine, New Haven, Connecticut; Smilow Cancer Hospital, New Haven, Connecticut
| | - Shuji Ogino
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Brian M Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
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