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Zhang X, Schenk JM, Perrigue M, Drewnowski A, Wang CY, Beatty SJ, Neuhouser ML. No effect of high eating frequency compared to low eating frequency on appetite and inflammation biomarkers: results from a randomized cross-over clinical trial. J Nutr 2024:S0022-3166(24)00228-1. [PMID: 38703890 DOI: 10.1016/j.tjnut.2024.04.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 04/08/2024] [Accepted: 04/23/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Eating frequency (EF) focuses on the total number of eating occasions per day and may influence metabolic health. OBJECTIVE We sought to examine the effect of high vs. low EF on appetite regulation and inflammatory biomarkers among healthy adults. METHODS Data are from a randomized, cross-over trial (the Frequency of Eating and Satiety Hormones (FRESH) Study). Participants (n=50) completed two isocaloric 21-day study periods of low EF (three eating occasions/day) and high EF (six eating occasions/day) in random order with a 14-day wash-out period in-between. Participants were free-living and consumed their own food, using study-directed, structured meal plans with identical foods and total energy in both study periods. On days 1 and 21 of each EF period, fasting blood was collected during in-person clinic visits to assess plasma concentrations of ghrelin, leptin, adiponectin, and high-sensitive C-reactive protein (hs-CRP). Linear mixed models with EF, diet order, and period as fixed effects; and participant as random effect estimated the intervention effect. Interaction effects between EF and % body fat were examined. RESULTS Among the 50 participants who completed the trial, 39 (78%) were women, 30 (60%) were Non-Hispanic White, 40 (80%) had a BMI<25 kg/m2, and the mean age was 32.1years. The differences between high vs. low EF in fasting ghrelin (geometric mean difference: 17.76 ng/ml, p=0.60), leptin (geometric mean difference: 2.09 ng/ml, p=0.14), adiponectin (geometric mean difference: 381.7 ng/ml, p=0.32), and hs-CRP (geometric mean difference: -0.018 mg/dl, p=0.08) were not statistically significant. No EF x % body fat interaction was observed on appetite regulation and inflammatory biomarkers. CONCLUSIONS No differences was observed in fasting ghrelin, leptin, adiponectin, and hs-CRP, comparing high vs. low EF. Future studies are needed to understand the physiology of eating frequency and appetite as they relate to metabolic health.
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Affiliation(s)
- Xiaochen Zhang
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA, United States, 98109
| | - Jeannette M Schenk
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA, United States, 98109
| | - Martine Perrigue
- Department of Nutrition and Exercise Physiology, College of Medicine, Washington State University, 412 E. Spokane Falls Blvd. Spokane, WA, United States, 99202
| | - Adam Drewnowski
- Department of Epidemiology, School of Public Health, University of Washington, 3980 15th Ave NE, Seattle, WA, United States, 98195
| | - Ching-Yun Wang
- Biostatistics Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA, United States, 98109
| | - Sarah J Beatty
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA, United States, 98109
| | - Marian L Neuhouser
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA, United States, 98109.
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2
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Sidahmed E, Freedland SJ, Wang M, Wu K, Albanes D, Barnett M, van den Brandt PA, Cook MB, Giles GG, Giovannucci E, Haiman CA, Larsson SC, Key TJ, Loftfield E, Männistö S, McCullough ML, Milne RL, Neuhouser ML, Platz EA, Perez-Cornago A, Sawada N, Schenk JM, Sinha R, Tsugane S, Visvanathan K, Wang Y, White KK, Willett WC, Wolk A, Ziegler RG, Genkinger JM, Smith-Warner SA. Dietary Fiber Intake and Risk of Advanced and Aggressive Forms of Prostate Cancer: A Pooled Analysis of 15 Prospective Cohort Studies. J Acad Nutr Diet 2024:S2212-2672(24)00163-1. [PMID: 38636793 DOI: 10.1016/j.jand.2024.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 02/12/2024] [Accepted: 04/08/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Evidence of an association between dietary fiber intake and risk of advanced and aggressive forms of prostate cancer (PC) and PC mortality is limited. OBJECTIVE To examine associations between intakes of dietary fiber overall and by food source and risk of advanced and aggressive forms of PC. DESIGN Pooled analysis of the primary data in 15 cohorts in three continents. Baseline dietary fiber intake was assessed using a validated food frequency questionnaire or diet history in each study. PARTICIPANTS/SETTING 842,149 men were followed for up to 9-22 years between 1985-2009 across studies. MAIN OUTCOME MEASURES The primary outcome measures were advanced (stage T4, N1, or M1 or PC mortality), advanced restricted (excluded men with missing stage and those with localized PC who died of PC), high grade (Gleason score ≥8 or poorly differentiated/undifferentiated) PC, and PC mortality. STATISTICAL ANALYSIS Study-specific multivariable hazard ratios (MVHR) were calculated using Cox proportional hazards regression and pooled using random effects models. RESULTS Intake of dietary fiber overall, from fruits, and from vegetables was not associated with risk of advanced (n=4,863), advanced restricted (n=2,978), or high-grade PC (n=9,673) or PC mortality (n=3,097). Dietary fiber intake from grains was inversely associated with advanced PC (MVHR comparing the highest vs. lowest quintile=0.84, 95% confidence interval [CI] 0.76-0.93), advanced restricted PC (MVHR=0.85, 95%CI 0.74-0.97), and PC mortality (MVHR=0.78, 95%CI 0.68-0.89); statistically significant trends were noted for each of these associations (p≤0.03), while a null association was observed for high grade PC for the same comparison (MVHR=1.00, 95%CI 0.93-1.07). The comparable results were 1.06 (95%CI 1.01-1.10, p-value, test for trend=0.002) for localized (n=35,199) and 1.05 (95%CI 0.99-1.11, , p-value, test for trend=0.04) for low/intermediate grade (n=34,366) PC. CONCLUSIONS Weak nonsignificant associations were observed between total dietary fiber intake and risk of advanced forms of PC, high grade PC, and PC mortality. High dietary fiber intake from grains was associated with a modestly lower risk of advanced forms of PC and PC mortality.
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Affiliation(s)
- Elkhansa Sidahmed
- Research Fellow, Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, Research Fellow, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Stephen J Freedland
- Professor, Department of Urology, Cedars-Sinai Medical Center, Los Angeles, California, Staff Physician, Urology Section, Durham VA Medical Center, Durham, North Carolina
| | - Molin Wang
- Associate Professor, Departments of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, Associate Professor of Medicine, Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Kana Wu
- Department Associate, Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (at time work completed)
| | - Demetrius Albanes
- Senior Investigator, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland
| | - Matt Barnett
- Analytic Section Manager, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Piet A van den Brandt
- Professor of Epidemiology, Department of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Michael B Cook
- Senior Investigator, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland (at time work completed), Honorary Senior Visiting Fellow, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom (current)
| | - Graham G Giles
- Head of Research, Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia, Honorary Professor, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia, Honorary Professor, Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Edward Giovannucci
- Professor, Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Christopher A Haiman
- Professor, Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Susanna C Larsson
- Principal Researcher, Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden, Associate Professor, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Timothy J Key
- Professor of Epidemiology, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Erikka Loftfield
- Investigator, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland
| | - Satu Männistö
- Research Manager, Department of Public Health and Welfare, Finnish Institute for, National Institute for Health and Welfare, Helsinki, Finland
| | - Marjorie L McCullough
- Senior Scientific Director, Epidemiology Research, Department of Population Science, American Cancer Society, Kennesaw, Georgia
| | - Roger L Milne
- Head, Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia, Honorary Professor, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia, Professor, Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Marian L Neuhouser
- Professor, Cancer Prevention Program, Division of Public Health Sciences Fred Hutchinson Cancer Center
| | - Elizabeth A Platz
- Professor, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Aurora Perez-Cornago
- Associate Professor, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Norie Sawada
- Chief, Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Jeannette M Schenk
- Senior Staff Scientist, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Rashmi Sinha
- Senior Investigator, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland
| | - Shoichiro Tsugane
- Visiting Scientist, Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Kala Visvanathan
- Professor, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Ying Wang
- Senior Principal Scientist, Department of Population Science, American Cancer Society, Atlanta, Georgia
| | - Kami K White
- Research Biostatistics Manager, Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Walter C Willett
- Professor, Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Alicja Wolk
- Professor, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden, Professor, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Regina G Ziegler
- Senior Investigator, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland
| | - Jeanine M Genkinger
- Associate Professor, Department of Epidemiology, Mailman School of Public Health and Herbert Irving Comprehensive Cancer Center, Columbia University, New York, New York
| | - Stephanie A Smith-Warner
- Senior Lecturer, Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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Schenk JM, Boynton A, Kulik P, Zyuzin A, Neuhouser ML, Kristal AR. The Use of Three-Dimensional Images and Food Descriptions from a Smartphone Device Is Feasible and Accurate for Dietary Assessment. Nutrients 2024; 16:828. [PMID: 38542739 PMCID: PMC10976213 DOI: 10.3390/nu16060828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 02/27/2024] [Accepted: 03/06/2024] [Indexed: 04/01/2024] Open
Abstract
Technology-assisted dietary assessment has the potential to improve the accuracy of self-reported dietary intake. This study evaluates MealScan3D (MS3D), a mobile device-based food recording system, which uses three-dimensional images to obtain food volumes and an application to capture algorithm-driven food intake data. Participants (n = 179) were randomly assigned and trained to record three meals using either MS3D or a written food record (WFR). Generous amounts of standardized meals were provided, and participants self-selected portions for each food. The weights of provided and uneaten/leftover foods were used to determine true intake. For total energy intake (three meals combined), validity (Pearson correlation) was significantly higher for MS3D vs. the WFR (p < 0.001); when interpreted as the percentage of variance in energy intake explained, MS3D explained 84.6% of true variance, a 25.3% absolute and 42.6% relative increase over the 59.3% explained by the WFR. For 9 of 15 individual foods, the Pearson correlations between true and reported portion size estimates were significantly larger for MS3D than the WFR. Bias was smaller (intercepts were closer to the means) for 9 of 15 foods and the regression coefficients for 10 of 15 foods were significantly closer to 1.0 in the MS3D arm. MS3D is feasible for dietary assessment and may provide improvements in accuracy compared to WFRs.
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Affiliation(s)
- Jeannette M. Schenk
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; (A.B.); (M.L.N.)
| | - Alanna Boynton
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; (A.B.); (M.L.N.)
| | - Pavel Kulik
- Allen Institute, Seattle, WA 98109, USA;
- Illionix Product Development, Seattle, WA 98125, USA;
| | - Alexei Zyuzin
- Illionix Product Development, Seattle, WA 98125, USA;
| | - Marian L. Neuhouser
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; (A.B.); (M.L.N.)
| | - Alan R. Kristal
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; (A.B.); (M.L.N.)
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Brasky TM, Ray RM, Newton AM, Navarro SL, Schenk JM, Loomans-Kropp HA, Arthur RS, Snetselaar LG, Hays J, Neuhouser ML. Supplemental B-Vitamins and Risk of Upper Gastrointestinal Cancers in the Women's Health Initiative. Nutr Cancer 2023; 75:1103-1108. [PMID: 36895169 DOI: 10.1080/01635581.2023.2186258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/25/2023] [Accepted: 02/24/2023] [Indexed: 03/11/2023]
Abstract
B-vitamins contribute to DNA synthesis, maintenance, and regulation. Few studies have examined associations of supplemental sources of B-vitamins with the incidence of upper gastrointestinal (GI) cancers [including gastric (GCA) and esophageal (ECA) cancers]; the only prior study to comprehensively examine such intakes reported potential elevated risks of ECA. We examined 159,401 postmenopausal women, ages 50-79 years at baseline, including 302 incident GCA and 183 incident ECA cases, over 19 years of follow-up within the Women's Health Initiative observational study and clinic trials. Adjusted Cox regression models estimated hazard ratios (HR) and 95% confidence intervals (CI) for associations of supplemental B-vitamins [riboflavin (B2), pyridoxine (B6), folic acid (B9), or cobalamin (B12)] with GCA and ECA risk, respectively. Although HRs were generally below 1.0, we observed no statistically significant associations between supplemental intakes of any of the evaluated B-vitamins with the risk of GCA or ECA. As the first prospective study to comprehensively assess these associations, our findings do not corroborate prior research indicating potential harm from supplemental B-vitamin intake for upper GI cancer risk. This study adds evidence that supplemental intakes of B-vitamins may be used by postmenopausal women without regard to their relationship with upper GI cancer risk.
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Affiliation(s)
- Theodore M Brasky
- Division of Medical Oncology, The Ohio State University College of Medicine, Columbus, Ohio, USA
| | - Roberta M Ray
- Women's Health Initiative, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Alison M Newton
- Division of Medical Oncology, The Ohio State University College of Medicine, Columbus, Ohio, USA
| | - Sandi L Navarro
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Jeannette M Schenk
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Holli A Loomans-Kropp
- Division of Cancer Prevention & Control, The Ohio State University College of Medicine, Columbus, Ohio, USA
| | - Rhonda S Arthur
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Linda G Snetselaar
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, USA
| | - John Hays
- Division of Medical Oncology, The Ohio State University College of Medicine, Columbus, Ohio, USA
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA
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5
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Watts EL, Perez-Cornago A, Fensom GK, Smith-Byrne K, Noor U, Andrews CD, Gunter MJ, Holmes MV, Martin RM, Tsilidis KK, Albanes D, Barricarte A, Bueno-de-Mesquita HB, Cohn BA, Deschasaux-Tanguy M, Dimou NL, Ferrucci L, Flicker L, Freedman ND, Giles GG, Giovannucci EL, Haiman CA, Hankey GJ, Holly JMP, Huang J, Huang WY, Hurwitz LM, Kaaks R, Kubo T, Le Marchand L, MacInnis RJ, Männistö S, Metter EJ, Mikami K, Mucci LA, Olsen AW, Ozasa K, Palli D, Penney KL, Platz EA, Pollak MN, Roobol MJ, Schaefer CA, Schenk JM, Stattin P, Tamakoshi A, Thysell E, Tsai CJ, Touvier M, Van Den Eeden SK, Weiderpass E, Weinstein SJ, Wilkens LR, Yeap BB. Circulating insulin-like growth factors and risks of overall, aggressive and early-onset prostate cancer: a collaborative analysis of 20 prospective studies and Mendelian randomization analysis. Int J Epidemiol 2023; 52:71-86. [PMID: 35726641 PMCID: PMC9908067 DOI: 10.1093/ije/dyac124] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 05/26/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Previous studies had limited power to assess the associations of circulating insulin-like growth factors (IGFs) and IGF-binding proteins (IGFBPs) with clinically relevant prostate cancer as a primary endpoint, and the association of genetically predicted IGF-I with aggressive prostate cancer is not known. We aimed to investigate the associations of IGF-I, IGF-II, IGFBP-1, IGFBP-2 and IGFBP-3 concentrations with overall, aggressive and early-onset prostate cancer. METHODS Prospective analysis of biomarkers using the Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group dataset (up to 20 studies, 17 009 prostate cancer cases, including 2332 aggressive cases). Odds ratios (OR) and 95% confidence intervals (CI) for prostate cancer were estimated using conditional logistic regression. For IGF-I, two-sample Mendelian randomization (MR) analysis was undertaken using instruments identified using UK Biobank (158 444 men) and outcome data from PRACTICAL (up to 85 554 cases, including 15 167 aggressive cases). Additionally, we used colocalization to rule out confounding by linkage disequilibrium. RESULTS In observational analyses, IGF-I was positively associated with risks of overall (OR per 1 SD = 1.09: 95% CI 1.07, 1.11), aggressive (1.09: 1.03, 1.16) and possibly early-onset disease (1.11: 1.00, 1.24); associations were similar in MR analyses (OR per 1 SD = 1.07: 1.00, 1.15; 1.10: 1.01, 1.20; and 1.13; 0.98, 1.30, respectively). Colocalization also indicated a shared signal for IGF-I and prostate cancer (PP4: 99%). Men with higher IGF-II (1.06: 1.02, 1.11) and IGFBP-3 (1.08: 1.04, 1.11) had higher risks of overall prostate cancer, whereas higher IGFBP-1 was associated with a lower risk (0.95: 0.91, 0.99); these associations were attenuated following adjustment for IGF-I. CONCLUSIONS These findings support the role of IGF-I in the development of prostate cancer, including for aggressive disease.
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Affiliation(s)
- Eleanor L Watts
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Georgina K Fensom
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Karl Smith-Byrne
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Urwah Noor
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Colm D Andrews
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Michael V Holmes
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Richard M Martin
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and Weston NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Aurelio Barricarte
- Group of Epidemiology of Cancer and Other Chronic Diseases, Navarra Public Health Institute, Pamplona, Spain
- Group of Epidemiology of Cancer and Other Chronic Diseases, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
| | - H Bas Bueno-de-Mesquita
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Utrecht, The Netherlands
| | - Barbara A Cohn
- Child Health and Development Studies, Public Health Institute, Berkeley, CA, USA
| | - Melanie Deschasaux-Tanguy
- Sorbonne Paris Nord University, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center, University of Paris, Bobigny, France
| | - Niki L Dimou
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | | | - Leon Flicker
- WA Centre for Health & Ageing, Medical School, University of Western Australia, Perth, WA, Australia
- Western Australian Centre for Health and Ageing, University of Western Australia, Perth, WA, Australia
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network 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
| | - Christopher A Haiman
- Department of Preventive Medicine, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Graham J Hankey
- WA Centre for Health & Ageing, Medical School, University of Western Australia, Perth, WA, Australia
| | - Jeffrey M P Holly
- IGFs & Metabolic Endocrinology Group, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jiaqi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lauren M Hurwitz
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tatsuhiko Kubo
- Department of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | | | - Robert J MacInnis
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Satu Männistö
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - E Jeffrey Metter
- Department of Neurology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Kazuya Mikami
- Departmemt of Urology, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Anja W Olsen
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Danish Cancer Society, Research Center, Copenhagen, Denmark
| | - Kotaro Ozasa
- Departmemt of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy
| | - Kathryn L Penney
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Michael N Pollak
- Departments of Medicine and Oncology, McGill University, Montreal, QC, Canada
| | - Monique J Roobol
- Department of Urology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Jeannette M Schenk
- Cancer Prevention Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Pär Stattin
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Akiko Tamakoshi
- Department of Public Health, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Elin Thysell
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | - Chiaojung Jillian Tsai
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mathilde Touvier
- Sorbonne Paris Nord University, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center, University of Paris, Bobigny, France
| | - Stephen K Van Den Eeden
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
- Department of Urology, University of CaliforniaSan Francisco, San Francisco, CA, USA
| | - Elisabete Weiderpass
- Director’s Office, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Bu B Yeap
- WA Centre for Health & Ageing, Medical School, University of Western Australia, Perth, WA, Australia
- Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, WA, Australia
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6
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Schenk JM, Liu M, Neuhouser ML, Newcomb LF, Zheng Y, Zhu K, Brooks JD, Carroll PR, Dash A, Ellis WJ, Filson CP, Gleave ME, Liss M, Martin FM, Morgan TM, Wagner AA, Lin DW. Dietary Patterns and Risk of Gleason Grade Progression among Men on Active Surveillance for Prostate Cancer: Results from the Canary Prostate Active Surveillance Study. Nutr Cancer 2022; 75:618-626. [PMID: 36343223 PMCID: PMC9974882 DOI: 10.1080/01635581.2022.2143537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 10/28/2022] [Indexed: 11/09/2022]
Abstract
Modifiable lifestyle factors, such as following a healthy dietary pattern may delay or prevent prostate cancer (PCa) progression. However, few studies have evaluated whether following specific dietary patterns after PCa diagnosis impacts risk of disease progression among men with localized PCa managed by active surveillance (AS). 564 men enrolled in the Canary Prostate Active Surveillance Study, a protocol-driven AS study utilizing a pre-specified prostate-specific antigen monitoring and surveillance biopsy regimen, completed a food frequency questionnaire (FFQ) at enrollment and had ≥ 1 surveillance biopsy during follow-up. FFQs were used to evaluate adherence to the Dietary Guidelines for Americans (Healthy Eating index (HEI))-2015, alternative Mediterranean Diet (aMED), and Dietary Approaches to Stop Hypertension (DASH) dietary patterns. Multivariable-adjusted hazards ratios (HRs) and 95% confidence intervals were estimated using Cox proportional hazards models. During a median follow-up of 7.8 years, 237 men experienced an increase in Gleason score on subsequent biopsy (grade reclassification). Higher HEI-2015, aMED or DASH diet scores after diagnosis were not associated with significant reductions in the risk of grade reclassification during AS. However, these dietary patterns have well-established protective effects on chronic diseases and mortality and remain a prudent choice for men with prostate cancer managed by AS.
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Affiliation(s)
- Jeannette M. Schenk
- Cancer Prevention Program, Public Health Sciences, Fred Hutchinson Cancer Center, Seattle WA
| | - Menghan Liu
- Biostatistics Program, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle WA
| | - Marian L. Neuhouser
- Cancer Prevention Program, Public Health Sciences, Fred Hutchinson Cancer Center, Seattle WA
| | - Lisa F Newcomb
- Cancer Prevention Program, Public Health Sciences, Fred Hutchinson Cancer Center, Seattle WA
- Department of Urology, University of Washington, Seattle WA
| | - Yingye Zheng
- Biostatistics Program, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle WA
| | - Kehao Zhu
- Biostatistics Program, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle WA
| | | | - Peter R. Carroll
- Department of Urology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco CA
| | | | | | - Christopher P. Filson
- Department of Urology, Emory University School of Medicine, Atlanta, Georgia, USA
- Winship Cancer Institute, Emory Healthcare, Atlanta, Georgia, USA
| | - Martin E. Gleave
- Department of Urologic Sciences, University of British Columbia, Vancouver BC
| | - Michael Liss
- University of Texas Health Sciences Center, San Antonio TX
| | - Frances M. Martin
- Department of Urology, Eastern Virginia Medical School, Virginia Beach VA
| | - Todd M. Morgan
- Department of Urology, University of Michigan, Ann Arbor MI
| | - Andrew A. Wagner
- Division of Urology, Beth Israel Deaconess Medical Center, Boston MA
| | - Daniel W. Lin
- Cancer Prevention Program, Public Health Sciences, Fred Hutchinson Cancer Center, Seattle WA
- Department of Urology, University of Washington, Seattle WA
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7
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Watts EL, Perez‐Cornago A, Fensom GK, Smith‐Byrne K, Noor U, Andrews CD, Gunter MJ, Holmes MV, Martin RM, Tsilidis KK, Albanes D, Barricarte A, Bueno‐de‐Mesquita B, Chen C, Cohn BA, Dimou NL, Ferrucci L, Flicker L, Freedman ND, Giles GG, Giovannucci EL, Goodman GE, Haiman CA, Hankey GJ, Huang J, Huang W, Hurwitz LM, Kaaks R, Knekt P, Kubo T, Langseth H, Laughlin G, Le Marchand L, Luostarinen T, MacInnis RJ, Mäenpää HO, Männistö S, Metter EJ, Mikami K, Mucci LA, Olsen AW, Ozasa K, Palli D, Penney KL, Platz EA, Rissanen H, Sawada N, Schenk JM, Stattin P, Tamakoshi A, Thysell E, Tsai CJ, Tsugane S, Vatten L, Weiderpass E, Weinstein SJ, Wilkens LR, Yeap BB, Allen NE, Key TJ, Travis RC. Circulating free testosterone and risk of aggressive prostate cancer: Prospective and Mendelian randomisation analyses in international consortia. Int J Cancer 2022; 151:1033-1046. [PMID: 35579976 PMCID: PMC7613289 DOI: 10.1002/ijc.34116] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/18/2022] [Accepted: 02/28/2022] [Indexed: 11/30/2022]
Abstract
Previous studies had limited power to assess the associations of testosterone with aggressive disease as a primary endpoint. Further, the association of genetically predicted testosterone with aggressive disease is not known. We investigated the associations of calculated free and measured total testosterone and sex hormone-binding globulin (SHBG) with aggressive, overall and early-onset prostate cancer. In blood-based analyses, odds ratios (OR) and 95% confidence intervals (CI) for prostate cancer were estimated using conditional logistic regression from prospective analysis of biomarker concentrations in the Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group (up to 25 studies, 14 944 cases and 36 752 controls, including 1870 aggressive prostate cancers). In Mendelian randomisation (MR) analyses, using instruments identified using UK Biobank (up to 194 453 men) and outcome data from PRACTICAL (up to 79 148 cases and 61 106 controls, including 15 167 aggressive cancers), ORs were estimated using the inverse-variance weighted method. Free testosterone was associated with aggressive disease in MR analyses (OR per 1 SD = 1.23, 95% CI = 1.08-1.40). In blood-based analyses there was no association with aggressive disease overall, but there was heterogeneity by age at blood collection (OR for men aged <60 years 1.14, CI = 1.02-1.28; Phet = .0003: inverse association for older ages). Associations for free testosterone were positive for overall prostate cancer (MR: 1.20, 1.08-1.34; blood-based: 1.03, 1.01-1.05) and early-onset prostate cancer (MR: 1.37, 1.09-1.73; blood-based: 1.08, 0.98-1.19). SHBG and total testosterone were inversely associated with overall prostate cancer in blood-based analyses, with null associations in MR analysis. Our results support free testosterone, rather than total testosterone, in the development of prostate cancer, including aggressive subgroups.
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Affiliation(s)
- Eleanor L. Watts
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Aurora Perez‐Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Georgina K. Fensom
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Karl Smith‐Byrne
- Genomic Epidemiology BranchInternational Agency for Research on CancerLyonFrance
| | - Urwah Noor
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Colm D. Andrews
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Marc J. Gunter
- Section of Nutrition and MetabolismInternational Agency for Research on CancerLyonFrance
| | - Michael V. Holmes
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
- Medical Research Council Population Health Research Unit at the University of OxfordOxfordUK
| | - Richard M. Martin
- Department of Population Health Sciences, Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
- National Institute for Health Research (NIHR) Bristol Biomedical Research CentreUniversity Hospitals Bristol NHS Foundation Trust and Weston NHS Foundation Trust and the University of BristolBristolUK
| | - Konstantinos K. Tsilidis
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUK
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Aurelio Barricarte
- Navarra Public Health InstitutePamplonaSpain
- Navarra Institute for Health Research (IdiSNA)PamplonaSpain
- CIBER Epidemiology and Public Health CIBERESPMadridSpain
| | - Bas Bueno‐de‐Mesquita
- Centre for Nutrition, Prevention and Health ServicesNational Institute for Public Health and the Environment (RIVM)The Netherlands
| | - Chu Chen
- Program in Epidemiology, Division of Public Health SciencesFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
- Department of Epidemiology, School of Public HealthUniversity of WashingtonSeattleWashingtonUSA
- Department of Otolaryngology: Head and Neck Surgery, School of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Barbara A. Cohn
- Child Health and Development StudiesPublic Health InstituteBerkeleyCaliforniaUSA
| | - Niki L. Dimou
- Section of Nutrition and MetabolismInternational Agency for Research on CancerLyonFrance
| | | | - Leon Flicker
- Medical SchoolUniversity of Western AustraliaPerthWestern AustraliaAustralia
- Western Australian Centre for Health and AgeingUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Neal D. Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Graham G. Giles
- Cancer Epidemiology DivisionCancer Council VictoriaMelbourneVictoriaAustralia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global HealthThe University of MelbourneMelbourneVictoriaAustralia
- Precision Medicine, School of Clinical Sciences at Monash HealthMonash UniversityMelbourneVictoriaAustralia
| | - Edward L. Giovannucci
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Channing Division of Network MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Gary E. Goodman
- Program in Epidemiology, Division of Public Health SciencesFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Christopher A. Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of MedicineUniversity of Southern California/Norris Comprehensive Cancer CenterLos AngelesCaliforniaUSA
| | - Graeme J. Hankey
- Medical SchoolUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Jiaqi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and EndocrinologyThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Wen‐Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Lauren M. Hurwitz
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Rudolf Kaaks
- Division of Cancer EpidemiologyGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Paul Knekt
- Department of Public Health and WelfareNational Institute for Health and WelfareHelsinkiFinland
| | - Tatsuhiko Kubo
- Department of Public Health and Health Policy, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
| | - Hilde Langseth
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUK
- Department of ResearchCancer Registry of NorwayOsloNorway
| | - Gail Laughlin
- Herbert Wertheim School of Public Health and Human Longevity ScienceUniversity of California San DiegoSan DiegoCaliforniaUSA
| | | | - Tapio Luostarinen
- Finnish Cancer RegistryInstitute for Statistical and Epidemiological Cancer ResearchHelsinkiFinland
| | - Robert J. MacInnis
- Cancer Epidemiology DivisionCancer Council VictoriaMelbourneVictoriaAustralia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Hanna O. Mäenpää
- Department of OncologyHelsinki University Central HospitalHelsinkiFinland
| | - Satu Männistö
- Department of Public Health and WelfareFinnish Institute for Health and WelfareHelsinkiFinland
| | - E. Jeffrey Metter
- Department of NeurologyThe University of Tennessee Health Science Center, College of MedicineMemphisTennesseeUSA
| | - Kazuya Mikami
- Departmemt of UrologyJapanese Red Cross Kyoto Daiichi HospitalKyotoJapan
| | - Lorelei A. Mucci
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Anja W. Olsen
- Department of Public HealthAarhus UniversityAarhusDenmark
- Danish Cancer SocietyResearch CenterCopenhagenDenmark
| | - Kotaro Ozasa
- Departmemt of EpidemiologyRadiation Effects Research FoundationHiroshimaJapan
| | - Domenico Palli
- Cancer Risk Factors and Life‐Style Epidemiology Unit, Institute for Cancer ResearchPrevention and Clinical Network – ISPROFlorenceItaly
| | - Kathryn L. Penney
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Channing Division of Network MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Elizabeth A. Platz
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Harri Rissanen
- Department of Public Health and WelfareNational Institute for Health and WelfareHelsinkiFinland
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health SciencesNational Cancer CenterTokyoJapan
| | - Jeannette M. Schenk
- Cancer Prevention Program, Public Health Sciences DivisionFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Pär Stattin
- Department of Surgical SciencesUppsala UniversityUppsalaSweden
| | | | - Elin Thysell
- Department of Medical BiosciencesUmeå UniversityUmeåSweden
| | - Chiaojung Jillian Tsai
- Department of Radiation OncologyMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health SciencesNational Cancer CenterTokyoJapan
| | - Lars Vatten
- Department of Public Health and Nursing, Faculty of MedicineNorwegian University of Science and TechnologyTrondheimNorway
| | - Elisabete Weiderpass
- Director Office, International Agency for Research on CancerWorld Health OrganizationLyonFrance
| | - Stephanie J. Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | | | - Bu B. Yeap
- Medical SchoolUniversity of Western AustraliaPerthWestern AustraliaAustralia
- Department of Endocrinology and DiabetesFiona Stanley HospitalPerthWestern AustraliaAustralia
| | | | | | | | | | | | - Naomi E. Allen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
- UK Biobank LtdStockportUK
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
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8
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Schenk JM, Till C, Neuhouser ML, Goodman PJ, Lucia MS, Thompson IM, Tangen CM. Differential Biopsy Patterns Influence Associations Between Multivitamin Use and Prostate Cancer Risk in the Selenium and Vitamin E Cancer Prevention Trial. Cancer Epidemiol Biomarkers Prev 2022; 31:2063-2069. [PMID: 36084322 PMCID: PMC9756313 DOI: 10.1158/1055-9965.epi-22-0453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 07/12/2022] [Accepted: 09/02/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Multivitamin use is a common health behavior but there is conflicting evidence from prospective studies about whether this behavior increases or decreases prostate cancer (PCa) risk. METHODS Associations of multivitamin (MVI) use and PCa risk were evaluated using data from the Selenium and Vitamin E Cancer Prevention Trial (SELECT). Cox proportional hazards models estimated associations of MVI use with risk of total, low- and high-grade PCa. Longitudinal data were used to evaluate screening and biopsy patterns. To account for differential biopsy patterns, the probability of PCa was estimated for men with a positive screening value but no biopsy. Incidence Density Ratios were used to approximate hazards ratios, and associations of MVI use with predicted PCa risk were compared to observed. RESULTS Analyses of data from observed biopsies suggest a respective 19% (95% CI 10-28%) and 21% (12-31%) higher risk of high-grade PCa for current and long-term MVI use, compared to no use. Current and long-term MVI use was associated with a shorter time to first on-study biopsy, indicating the potential for detection bias. After accounting for differential acceptance of biopsy, associations of MVI use with PCa were attenuated and not statistically significant. CONCLUSIONS In SELECT, biopsy acceptance patterns differed by MVI use. Estimates of associations of MVI use with PCa risk based on observed biopsy data may be biased by differential acceptance of biopsy. IMPACT Differential biopsy ascertainment may impact associations of risk factors and PCa. Detailed screening and biopsy data can be used to analytically minimize such bias.
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Affiliation(s)
| | - Cathee Till
- Fred Hutchinson Cancer Research Center, United States
| | | | | | - M Scott Lucia
- University of Colorado School of Medicine, Denver, CO, United States
| | - Ian M Thompson
- CHRISTUS Santa Rosa Hospital - Medical Center, San Antonio, United States
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9
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Kirk PS, Zhu K, Zheng Y, Newcomb LF, Schenk JM, Brooks JD, Carroll PR, Dash A, Ellis WJ, Filson CP, Gleave ME, Liss M, Martin F, McKenney JK, Morgan TM, Nelson PS, Thompson IM, Wagner AA, Lin DW, Gore JL. Treatment in the absence of disease reclassification among men on active surveillance for prostate cancer. Cancer 2022; 128:269-274. [PMID: 34516660 PMCID: PMC8738121 DOI: 10.1002/cncr.33911] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 08/06/2021] [Accepted: 08/07/2021] [Indexed: 01/17/2023]
Abstract
BACKGROUND Maintaining men on active surveillance for prostate cancer can be challenging. Although most men who eventually undergo treatment have experienced clinical progression, a smaller subset elects treatment in the absence of disease reclassification. This study sought to understand factors associated with treatment in a large, contemporary, prospective cohort. METHODS This study identified 1789 men in the Canary Prostate Cancer Active Surveillance Study cohort enrolled as of 2020 with a median follow-up of 5.6 years. Clinical and demographic data as well as information on patient-reported quality of life and urinary symptoms were used in multivariable Cox proportional hazards regression models to identify factors associated with the time to treatment RESULTS: Within 4 years of their diagnosis, 33% of men (95% confidence interval [CI], 30%-35%) underwent treatment, and 10% (95% CI, 9%-12%) were treated in the absence of reclassification. The most significant factor associated with any treatment was an increasing Gleason grade group (adjusted hazard ratio [aHR], 14.5; 95% CI, 11.7-17.9). Urinary quality-of-life scores were associated with treatment without reclassification (aHR comparing "mostly dissatisfied/terrible" with "pleased/mixed," 2.65; 95% CI, 1.54-4.59). In a subset analysis (n = 692), married men, compared with single men, were more likely to undergo treatment in the absence of reclassification (aHR, 2.63; 95% CI, 1.04-6.66). CONCLUSIONS A substantial number of men with prostate cancer undergo treatment in the absence of clinical changes in their cancers, and quality-of-life changes and marital status may be important factors in these decisions. LAY SUMMARY This analysis of men on active surveillance for prostate cancer shows that approximately 1 in 10 men will decide to be treated within 4 years of their diagnosis even if their cancer is stable. These choices may be related in part to quality-or-life or spousal concerns.
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Affiliation(s)
- Peter S. Kirk
- Department of Urology, University of Washington, Seattle, WA
| | - Kehao Zhu
- Biostatistics Program, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Yingye Zheng
- Biostatistics Program, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Lisa F. Newcomb
- Department of Urology, University of Washington, Seattle, WA
- Cancer Prevention Program, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Jeannette M. Schenk
- Cancer Prevention Program, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Peter R. Carroll
- Department of Urology, University of California, San Francisco, CA
| | - Atreya Dash
- VA Puget Sound Health Care Systems, Seattle, WA
| | | | | | - Martin E. Gleave
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC
| | - Michael Liss
- Department of Urology, University of Texas Health Sciences Center, San Antonio, TX
| | - Frances Martin
- Department of Urology, Eastern Virginia Medical School, Virginia Beach, VA
| | - Jesse K. McKenney
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH
| | - Todd M. Morgan
- Department of Urology, University of Michigan, Ann Arbor, MI
| | - Peter S. Nelson
- Division of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Andrew A. Wagner
- Division of Urology, Beth Israel Deaconess Medical Center, Boston, MA
| | - Daniel W. Lin
- Department of Urology, University of Washington, Seattle, WA
- Cancer Prevention Program, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - John L. Gore
- Department of Urology, University of Washington, Seattle, WA
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10
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Chadid S, Song X, Schenk JM, Gurel B, Lucia MS, Thompson IM, Neuhouser ML, Goodman PJ, Parnes HL, Lippman SM, Nelson WG, De Marzo AM, Platz EA. Association of Serum Carotenoids and Retinoids with Intraprostatic Inflammation in Men without Prostate Cancer or Clinical Indication for Biopsy in the Placebo Arm of the Prostate Cancer Prevention Trial. Nutr Cancer 2022; 74:141-148. [PMID: 33511883 PMCID: PMC8319215 DOI: 10.1080/01635581.2021.1879879] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Non-supplemental carotenoids and retinol may potentiate antioxidant and anti-inflammatory mechanisms. Chronic intraprostatic inflammation is linked to prostate carcinogenesis. We investigated the association of circulating carotenoids and retinol with intraprostatic inflammation in benign tissue. We included 235 men from the Prostate Cancer Prevention Trial placebo arm who had a negative end-of-study biopsy, most (92.8%) done without clinical indication. α-carotene, β-carotene, β-cryptoxanthin, lycopene, and retinol were assessed by high-performance liquid chromatography using pooled year 1 and 4 serum. Presence and extent of intraprostatic inflammation in benign tissue was assessed in 3 (of 6-10) biopsy cores. Logistic (any core with inflammation vs none) and polytomous logistic (some or all cores with inflammation vs none) regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) of intraprostatic inflammation by concentration tertile adjusting for age, race, prostate cancer family history, and serum cholesterol. None of the carotenoids or retinol was associated with intraprostatic inflammation, except β-cryptoxanthin, which appeared to be positively associated with any core with inflammation [vs none, T2: OR (95% CI) = 2.67 (1.19, 5.99); T3: 1.80 (0.84, 3.82), P-trend = 0.12]. These findings suggest that common circulating carotenoids and retinol are not useful dietary intervention targets for preventing prostate cancer via modulating intraprostatic inflammation.
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Affiliation(s)
- Susan Chadid
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Xiaoling Song
- Cancer Prevention Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Jeannette M. Schenk
- Cancer Prevention Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Bora Gurel
- The Institute of Cancer Research, The Royal Marsden, London, United Kingdom
| | | | - Ian M. Thompson
- CHRISTUS Santa Rosa Hospital Medical Center, San Antonio, TX,Department of Urology, University of Texas Health Sciences Center San Antonio, San Antonio, TX
| | - Marian L. Neuhouser
- Cancer Prevention Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Phyllis J. Goodman
- Cancer Prevention Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA,SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Howard L. Parnes
- Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Scott M. Lippman
- Moores Cancer Center, University of California San Diego, La Jolla, CA
| | - William G. Nelson
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD,The James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins School of Medicine, Baltimore, MD
| | - Angelo M. De Marzo
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD,The James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins School of Medicine, Baltimore, MD,Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Elizabeth A. Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD,Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD,The James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins School of Medicine, Baltimore, MD
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11
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Genkinger JM, Wu K, Wang M, Albanes D, Black A, van den Brandt PA, Burke KA, Cook MB, Gapstur SM, Giles GG, Giovannucci E, Goodman GG, Goodman PJ, Håkansson N, Key TJ, Männistö S, Le Marchand L, Liao LM, MacInnis RJ, Neuhouser ML, Platz EA, Sawada N, Schenk JM, Stevens VL, Travis RC, Tsugane S, Visvanathan K, Wilkens LR, Wolk A, Smith-Warner SA. Corrigendum to 'Measures of body fatness and height in early and mid-to-late adulthood and prostate cancer: risk and mortality in The Pooling Project of Prospective Studies of Diet and Cancer': [Annals of Oncology Volume 31, Issue 1, January 2020, Pages 103-114]. Ann Oncol 2021; 32:1201. [PMID: 34244036 DOI: 10.1016/j.annonc.2021.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- J M Genkinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, USA; Cancer Epidemiology Program, Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, USA.
| | - K Wu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA
| | - M Wang
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, USA; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, USA; Department of Medicine, Harvard Medical School, Boston, USA
| | - D Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, USA
| | - A Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, USA
| | - P A van den Brandt
- Department of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - K A Burke
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, USA
| | - M B Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, USA
| | - S M Gapstur
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, USA
| | - G G Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - E Giovannucci
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, USA; Department of Medicine, Harvard Medical School, Boston, USA
| | - G G Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA
| | | | - N Håkansson
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - T J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - S Männistö
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - L Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, USA
| | - L M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, USA
| | - R J MacInnis
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - M L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - E A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - N Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - J M Schenk
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - V L Stevens
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, USA
| | - R C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - S Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - K Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - L R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, USA
| | - A Wolk
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - S A Smith-Warner
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, USA
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12
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Chow EJ, Doody DR, Di C, Armenian SH, Baker KS, Bricker JB, Gopal AK, Hagen AM, Ketterl TG, Lee SJ, Reding KW, Schenk JM, Syrjala KL, Taylor SA, Wang G, Neuhouser ML, Mendoza JA. Feasibility of a behavioral intervention using mobile health applications to reduce cardiovascular risk factors in cancer survivors: a pilot randomized controlled trial. J Cancer Surviv 2020; 15:554-563. [PMID: 33037989 DOI: 10.1007/s11764-020-00949-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 09/28/2020] [Indexed: 11/25/2022]
Abstract
PURPOSE Determine the feasibility of a remotely delivered mobile health (mHealth)-supported intervention to improve diet and physical activity in hematologic malignancy survivors. METHODS Pilot randomized controlled trial of a 16-week intervention for improving diet and physical activity: individualized goal-setting (daily steps, sodium, saturated fat, added sugar intake) per feedback from mHealth trackers (Fitbit for activity; Healthwatch360 for diet), supplemented by a Facebook peer support group. Controls accessed the trackers without goal-setting or peer support. Everyone received standardized survivorship counseling with tailored advice from a clinician. Actigraphy and food frequency questionnaires assessed activity and diet at baseline and follow-up. RESULTS Forty-one participants (51.2% male; median age 45.1 years; 7.0 years from treatment) were randomized (24 intervention; 17 control). Fitbit and Healthwatch360 use were more common among intervention versus control participants (75.0% versus 70.6% and 50.0% versus 17.7% of eligible days, respectively). Most intervention participants (66.7%) engaged with Facebook; overall, 91.7% interacted with the study's mHealth applications. While no comparisons in activity or dietary outcomes between intervention versus control group met statistical significance, the intervention was associated with greater reductions in the targeted dietary factors and improvements in Healthy Eating Index-2015 score, moderate-vigorous physical activity time, and daily steps. Participant retention at 6 months was 90.2%. CONCLUSIONS An intervention for cardiovascular risk reduction based on individualized goal-setting enhanced by mHealth and social media peer support was feasible and acceptable among cancer survivors. IMPLICATIONS FOR CANCER SURVIVORS Effective and easily disseminated strategies that improve diet and physical activity in this population are needed. TRIAL REGISTRATION Registered in ClinicalTrials.gov (NCT03574012) on June 29, 2018.
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Affiliation(s)
- Eric J Chow
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA.
- Department of Pediatrics, University of Washington, Seattle, WA, USA.
| | - David R Doody
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
| | - Chongzhi Di
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
| | | | - K Scott Baker
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Jonathan B Bricker
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
| | - Ajay K Gopal
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Anna M Hagen
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
| | - Tyler G Ketterl
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Stephanie J Lee
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Kerryn W Reding
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
- School of Nursing, University of Washington, Seattle, WA, USA
| | - Jeannette M Schenk
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
| | - Karen L Syrjala
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
| | - Sarah A Taylor
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
| | - Guangxing Wang
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
| | - Marian L Neuhouser
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
| | - Jason A Mendoza
- Fred Hutchinson Cancer Research Center, PO Box 19024, Mailstop M4-C308, Seattle, WA, 98109, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
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13
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Brasky TM, Ray RM, Navarro SL, Schenk JM, Newton AM, Neuhouser ML. Abstract 4654: Supplemental one-carbon metabolism related B vitamins and lung cancer risk in the Women's Health Initiative. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-4654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
We and others have reported associations between B vitamins principally involved in one-carbon metabolism and increased lung cancer risk; however results for women have been inconsistent. Here we report on the association of supplemental vitamins B6, folic acid, and B12 intake and lung cancer risk using data from the Women's Health Initiative (WHI) study of postmenopausal women. Between 1993 and 1998, 161,808 women were recruited to participate in the WHI at 40 US clinical centers. After exclusions, 159,232 women were available for analysis and followed prospectively for 18.3 years. Among them, 3,836 incident lung cancer cases were diagnosed. At baseline, supplemental B vitamins from multivitamins, vitamin mixtures, and individual supplements were assessed. Adjusted Cox regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for associations between supplemental B vitamin intake and lung cancer risk. Relative to non-users, women who took ≥50 mg/d of vitamin B6 had 18% (HR 0.82, 95% CI: 0.70-0.97) reduced lung cancer risk. Associations did not differ significantly by smoking status or lung cancer histology. Intakes of folic acid and vitamin B12 were not associated with risk. There is a need for replication of our findings from large, prospective studies with high-quality measurement of supplement intakes. As such, no recommendation can be made at present on the use of B6 supplements for lung cancer prevention in women.
Citation Format: Theodore M. Brasky, Roberta M. Ray, Sandi L. Navarro, Jeannette M. Schenk, Alison M. Newton, Marian L. Neuhouser. Supplemental one-carbon metabolism related B vitamins and lung cancer risk in the Women's Health Initiative [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4654.
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14
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Torkko K, Till C, Tangen CM, Goodman PJ, Song X, Schenk JM, Lucia MS, Peters U, van Bokhoven A, Thompson IM, Neuhouser ML. Vitamin D Pathway and Other Related Polymorphisms and Risk of Prostate Cancer: Results from the Prostate Cancer Prevention Trial. Cancer Prev Res (Phila) 2020; 13:521-530. [PMID: 32102946 DOI: 10.1158/1940-6207.capr-19-0413] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 01/02/2020] [Accepted: 02/20/2020] [Indexed: 12/31/2022]
Abstract
Vitamin D may influence prostate cancer risk, but evidence is inconsistent. We conducted a nested case-control study in the Prostate Cancer Prevention Trial (PCPT). Cases (n = 1,128) and controls (n = 1,205) were frequency matched on age, first-degree relative with prostate cancer, and PCPT treatment arm (finasteride/placebo); African-Americans were oversampled and case/control status was biopsy confirmed. We selected 21 SNPs in vitamin D-related genes (VDR, GC, C10orf88, CYP2R1, CYP24A1, CYP27B1, DHCR7, and NADSYN1) to test genotype and genotype-treatment interactions in relation to prostate cancer. We also tested mean serum 25(OH)D differences by minor allele distributions and tested for serum 25(OH)D-genotype interactions in relation to prostate cancer risk. Log-additive genetic models (Bonferroni-corrected within genes) adjusted for age, body mass index, PSA, and family history of prostate cancer revealed a significant interaction between treatment arm and GC/rs222016 (finasteride OR = 1.37, placebo OR = 0.85; P interaction < 0.05), GC/rs222014 (finasteride OR = 1.36, placebo OR = 0.85; P interaction < 0.05), and CYP27B1/rs703842 (finasteride OR = 0.76, placebo OR = 1.10; P interaction < 0.05) among Caucasians, and C10orf88/rs6599638 (finasteride OR = 4.68, placebo OR = 1.39; P interaction < 0.05) among African-Americans. VDR/rs1544410 and CYP27B1/rs703842 had significant treatment interactions for high-grade disease among Caucasians (finasteride OR = 0.81, placebo OR = 1.40; P interaction < 0.05 and finasteride OR = 0.70, placebo OR = 1.28; P interaction < 0.05, respectively). Vitamin D-related SNPs influenced serum 25(OH)D, but gene-serum 25(OH)D effect modification for prostate cancer was marginally observed only for CYP24A1/rs2248359. In conclusion, evidence that vitamin D-related genes or gene-serum 25(OH)D associations influence prostate cancer risk is modest. We found some evidence for gene-finasteride interaction effects for prostate cancer in Caucasians and African-Americans. Results suggest only minimal associations of vitamin D with total or high-grade prostate cancer.
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Affiliation(s)
- Kathleen Torkko
- Department of Pathology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado
| | - Cathee Till
- Division of Public Health Sciences, SWOG Statistics and Data Management Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Catherine M Tangen
- Division of Public Health Sciences, SWOG Statistics and Data Management Center, Fred Hutchinson Cancer Research Center, Seattle, Washington.,Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Phyllis J Goodman
- Division of Public Health Sciences, SWOG Statistics and Data Management Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Xiaoling Song
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jeannette M Schenk
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - M Scott Lucia
- Department of Pathology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado
| | - Ulrike Peters
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Adrie van Bokhoven
- Department of Pathology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado
| | - Ian M Thompson
- Christus Santa Rosa Hospital-Medical Center, San Antonio, Texas
| | - Marian L Neuhouser
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
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15
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Brasky TM, Ray RM, Navarro SL, Schenk JM, Newton AM, Neuhouser ML. Supplemental one-carbon metabolism related B vitamins and lung cancer risk in the Women's Health Initiative. Int J Cancer 2020; 147:1374-1384. [PMID: 32030745 DOI: 10.1002/ijc.32913] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 01/29/2020] [Accepted: 02/03/2020] [Indexed: 12/30/2022]
Abstract
We and others have reported associations between B vitamins principally involved in one-carbon metabolism and increased lung cancer risk; however, results for women have been inconsistent. Here we report on the association of supplemental vitamins B6 , folic acid and B12 intake and lung cancer risk using data from the Women's Health Initiative (WHI) study of postmenopausal women. Between 1993 and 1998, 161,808 women were recruited to participate in the WHI at 40 clinical centers in the US. After exclusions, 159,232 women were available for analysis and followed prospectively for an average of 18.3 years. Among them, 3,836 incident lung cancer cases were diagnosed. At baseline, supplemental B vitamins from multivitamins, vitamin mixtures and individual supplements were assessed. Adjusted Cox regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for associations between supplemental B vitamin intake and lung cancer risk. Relative to no intake, women who took ≥50 mg/day of vitamin B6 had 16% (HR 0.84, 95% CI: 0.71-0.99) reduced lung cancer risk. Associations did not differ significantly by smoking status or lung cancer histology. Intakes of folic acid and vitamin B12 were not associated with risk. There is a need for replication of our findings from other large, prospective studies with similar high-quality measurement of supplement intakes before any recommendations can be made at present on B6 supplementation for lung cancer prevention in women.
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Affiliation(s)
- Theodore M Brasky
- Division of Medical Oncology, The Ohio State University College of Medicine, Columbus, OH
| | - Roberta M Ray
- Women's Health Initiative, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Sandi L Navarro
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Jeannette M Schenk
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Alison M Newton
- Division of Medical Oncology, The Ohio State University College of Medicine, Columbus, OH
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
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16
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Genkinger JM, Wu K, Wang M, Albanes D, Black A, van den Brandt PA, Burke KA, Cook MB, Gapstur SM, Giles GG, Giovannucci E, Goodman GG, Goodman PJ, Håkansson N, Key TJ, Männistö S, Le Marchand L, Liao LM, MacInnis RJ, Neuhouser ML, Platz EA, Sawada N, Schenk JM, Stevens VL, Travis RC, Tsugane S, Visvanathan K, Wilkens LR, Wolk A, Smith-Warner SA. Measures of body fatness and height in early and mid-to-late adulthood and prostate cancer: risk and mortality in The Pooling Project of Prospective Studies of Diet and Cancer. Ann Oncol 2020; 31:103-114. [PMID: 31912782 PMCID: PMC8195110 DOI: 10.1016/j.annonc.2019.09.007] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 07/24/2019] [Accepted: 09/30/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Advanced prostate cancer etiology is poorly understood. Few studies have examined associations of anthropometric factors (e.g. early adulthood obesity) with advanced prostate cancer risk. PATIENTS AND METHODS We carried out pooled analyses to examine associations between body fatness, height, and prostate cancer risk. Among 830 772 men, 51 734 incident prostate cancer cases were identified, including 4762 advanced (T4/N1/M1 or prostate cancer deaths) cases, 2915 advanced restricted (same as advanced, but excluding localized cancers that resulted in death) cases, 9489 high-grade cases, and 3027 prostate cancer deaths. Cox proportional hazards models were used to calculate study-specific hazard ratios (HR) and 95% confidence intervals (CI); results were pooled using random effects models. RESULTS No statistically significant associations were observed for body mass index (BMI) in early adulthood for advanced, advanced restricted, and high-grade prostate cancer, and prostate cancer mortality. Positive associations were shown for BMI at baseline with advanced prostate cancer (HR = 1.30, 95% CI = 0.95-1.78) and prostate cancer mortality (HR = 1.52, 95% CI = 1.12-2.07) comparing BMI ≥35.0 kg/m2 with 21-22.9 kg/m2. When considering early adulthood and baseline BMI together, a 27% higher prostate cancer mortality risk (95% CI = 9% to 49%) was observed for men with BMI <25.0 kg/m2 in early adulthood and BMI ≥30.0 kg/m2 at baseline compared with BMI <25.0 kg/m2 in early adulthood and BMI <30.0 kg/m2 at baseline. Baseline waist circumference, comparing ≥110 cm with <90 cm, and waist-to-hip ratio, comparing ≥1.00 with <0.90, were associated with significant 14%-16% increases in high-grade prostate cancer risk and suggestive or significant 20%-39% increases in prostate cancer mortality risk. Height was associated with suggestive or significant 33%-56% risks of advanced or advanced restricted prostate cancer and prostate cancer mortality, comparing ≥1.90 m with <1.65 m. CONCLUSION Our findings suggest that height and total and central adiposity in mid-to-later adulthood, but not early adulthood adiposity, are associated with risk of advanced forms of prostate cancer. Thus, maintenance of healthy weight may help prevent advanced prostate cancer.
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Affiliation(s)
- J M Genkinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, USA; Cancer Epidemiology Program, Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, USA.
| | - K Wu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA
| | - M Wang
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, USA; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, USA; Department of Medicine, Harvard Medical School, Boston, USA
| | - D Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, USA
| | - A Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, USA
| | - P A van den Brandt
- Department of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - K A Burke
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, USA
| | - M B Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, USA
| | - S M Gapstur
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, USA
| | - G G Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - E Giovannucci
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, USA; Department of Medicine, Harvard Medical School, Boston, USA
| | - G G Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA
| | | | - N Håkansson
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - T J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - S Männistö
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - L Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, USA
| | - L M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, USA
| | - R J MacInnis
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - M L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - E A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - N Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - J M Schenk
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - V L Stevens
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, USA
| | - R C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - S Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - K Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - L R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, USA
| | - A Wolk
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - S A Smith-Warner
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, USA
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17
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Watts EL, Perez‐Cornago A, Appleby PN, Albanes D, Ardanaz E, Black A, Bueno‐de‐Mesquita HB, Chan JM, Chen C, Chubb SP, Cook MB, Deschasaux M, Donovan JL, English DR, Flicker L, Freedman ND, Galan P, Giles GG, Giovannucci EL, Gunter MJ, Habel LA, Häggström C, Haiman C, Hamdy FC, Hercberg S, Holly JM, Huang J, Huang W, Johansson M, Kaaks R, Kubo T, Lane JA, Layne TM, Le Marchand L, Martin RM, Metter EJ, Mikami K, Milne RL, Morris HA, Mucci LA, Neal DE, Neuhouser ML, Oliver SE, Overvad K, Ozasa K, Pala V, Pernar CH, Pollak M, Rowlands M, Schaefer CA, Schenk JM, Stattin P, Tamakoshi A, Thysell E, Touvier M, Trichopoulou A, Tsilidis KK, Van Den Eeden SK, Weinstein SJ, Wilkens L, Yeap BB, Key TJ, Allen NE, Travis RC. The associations of anthropometric, behavioural and sociodemographic factors with circulating concentrations of IGF-I, IGF-II, IGFBP-1, IGFBP-2 and IGFBP-3 in a pooled analysis of 16,024 men from 22 studies. Int J Cancer 2019; 145:3244-3256. [PMID: 30873591 PMCID: PMC6745281 DOI: 10.1002/ijc.32276] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 01/28/2019] [Accepted: 02/04/2019] [Indexed: 12/24/2022]
Abstract
Insulin-like growth factors (IGFs) and insulin-like growth factor binding proteins (IGFBPs) have been implicated in the aetiology of several cancers. To better understand whether anthropometric, behavioural and sociodemographic factors may play a role in cancer risk via IGF signalling, we examined the cross-sectional associations of these exposures with circulating concentrations of IGFs (IGF-I and IGF-II) and IGFBPs (IGFBP-1, IGFBP-2 and IGFBP-3). The Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group dataset includes individual participant data from 16,024 male controls (i.e. without prostate cancer) aged 22-89 years from 22 prospective studies. Geometric means of protein concentrations were estimated using analysis of variance, adjusted for relevant covariates. Older age was associated with higher concentrations of IGFBP-1 and IGFBP-2 and lower concentrations of IGF-I, IGF-II and IGFBP-3. Higher body mass index was associated with lower concentrations of IGFBP-1 and IGFBP-2. Taller height was associated with higher concentrations of IGF-I and IGFBP-3 and lower concentrations of IGFBP-1. Smokers had higher concentrations of IGFBP-1 and IGFBP-2 and lower concentrations of IGFBP-3 than nonsmokers. Higher alcohol consumption was associated with higher concentrations of IGF-II and lower concentrations of IGF-I and IGFBP-2. African Americans had lower concentrations of IGF-II, IGFBP-1, IGFBP-2 and IGFBP-3 and Hispanics had lower IGF-I, IGF-II and IGFBP-3 than non-Hispanic whites. These findings indicate that a range of anthropometric, behavioural and sociodemographic factors are associated with circulating concentrations of IGFs and IGFBPs in men, which will lead to a greater understanding of the mechanisms through which these factors influence cancer risk.
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Affiliation(s)
- Eleanor L. Watts
- Cancer Epidemiology UnitNuffield Department of Population Health, University of OxfordOxfordUnited Kingdom
| | - Aurora Perez‐Cornago
- Cancer Epidemiology UnitNuffield Department of Population Health, University of OxfordOxfordUnited Kingdom
| | - Paul N. Appleby
- Cancer Epidemiology UnitNuffield Department of Population Health, University of OxfordOxfordUnited Kingdom
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, Department of Health and Human ServicesNational Cancer Institute, National Institutes of HealthBethesdaMD
| | - Eva Ardanaz
- Navarra Public Health InstitutePamplonaSpain
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, Department of Health and Human ServicesNational Cancer Institute, National Institutes of HealthBethesdaMD
| | - H. Bas Bueno‐de‐Mesquita
- Department for Determinants of Chronic DiseasesNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
- Department of Gastroenterology and HepatologyUniversity Medical CentreUtrechtThe Netherlands
- Department of Epidemiology and BiostatisticsImperial College LondonLondonUnited Kingdom
- Department of Social & Preventive MedicineUniversity of MalayaKuala LumpurMalaysia
| | - June M. Chan
- Department of Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCA
- Department UrologyUniversity of California‐San FranciscoSan FranciscoCA
| | - Chu Chen
- Public Health Sciences Division, Program in EpidemiologyFred Hutchinson Cancer Research CenterSeattleWA
| | - S.A. Paul Chubb
- PathWest Laboratory MedicineFiona Stanley HospitalPerthWAAustralia
- Medical SchoolUniversity of Western AustraliaPerthWAAustralia
| | - Michael B. Cook
- Division of Cancer Epidemiology and Genetics, Department of Health and Human ServicesNational Cancer Institute, National Institutes of HealthBethesdaMD
| | - Mélanie Deschasaux
- Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS)Nutritional Epidemiology Research Team (EREN), Inserm U1153/Inra U1125/Cnam/Paris 13 UniversityParisFrance
| | - Jenny L. Donovan
- Department of Population Health SciencesBristol Medical School, University of BristolBristolUnited Kingdom
| | - Dallas R. English
- Cancer Epidemiology and Intelligence DivisionCancer Council VictoriaMelbourneVICAustralia
- Centre for Epidemiology and BiostatisticsMelbourne School of Population and Global Health, The University of MelbourneMelbourneVICAustralia
| | - Leon Flicker
- Medical SchoolUniversity of Western AustraliaPerthWAAustralia
- WA Centre for Health & Ageing, Centre for Medical ResearchHarry Perkins Institute of Medical ResearchPerthWAAustralia
- Department of Geriatric MedicineRoyal Perth HospitalPerthWAAustralia
| | - Neal D. Freedman
- Division of Cancer Epidemiology and Genetics, Department of Health and Human ServicesNational Cancer Institute, National Institutes of HealthBethesdaMD
| | - Pilar Galan
- Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS)Nutritional Epidemiology Research Team (EREN), Inserm U1153/Inra U1125/Cnam/Paris 13 UniversityParisFrance
| | - Graham G. Giles
- Cancer Epidemiology and Intelligence DivisionCancer Council VictoriaMelbourneVICAustralia
- Centre for Epidemiology and BiostatisticsMelbourne School of Population and Global Health, The University of MelbourneMelbourneVICAustralia
| | - Edward L. Giovannucci
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMA
- Channing Division of Network MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMA
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMA
| | - Marc J. Gunter
- Section of Nutrition and MetabolismInternational Agency for Research on CancerLyonFrance
| | - Laurel A. Habel
- Division of ResearchKaiser Permanente Northern CaliforniaOaklandCA
| | | | | | - Freddie C. Hamdy
- Nuffield Department of SurgeryUniversity of OxfordOxfordUnited Kingdom
| | - Serge Hercberg
- Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS)Nutritional Epidemiology Research Team (EREN), Inserm U1153/Inra U1125/Cnam/Paris 13 UniversityParisFrance
| | - Jeff M. Holly
- IGFs & Metabolic Endocrinology Group, Translational Health SciencesBristol Medical School, Faculty of Health Sciences, University of BristolBristolUnited Kingdom
| | - Jiaqi Huang
- Division of Cancer Epidemiology and Genetics, Department of Health and Human ServicesNational Cancer Institute, National Institutes of HealthBethesdaMD
| | - Wen‐Yi Huang
- Division of Cancer Epidemiology and Genetics, Department of Health and Human ServicesNational Cancer Institute, National Institutes of HealthBethesdaMD
| | - Mattias Johansson
- Genetic Epidemiology GroupInternational Agency for Research on CancerLyonFrance
| | - Rudolf Kaaks
- Division of Cancer EpidemiologyGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Tatsuhiko Kubo
- Department of Environmental EpidemiologyUniversity of Occupational and Environmental HealthKitakyushuJapan
| | - J. Athene Lane
- Department of Population Health SciencesBristol Medical School, University of BristolBristolUnited Kingdom
- National Institute for Health Research Bristol Biomedical Research Unit in NutritionBristolUnited Kingdom
| | | | | | - Richard M. Martin
- Department of Population Health SciencesBristol Medical School, University of BristolBristolUnited Kingdom
- National Institute for Health Research Bristol Biomedical Research Unit in NutritionBristolUnited Kingdom
- Medical Research Council/University of Bristol Integrative Epidemiology Unit, University of BristolBristolUnited Kingdom
| | - E. Jeffrey Metter
- Department of NeurologyUniversity of Tennessee Health Science CenterMemphisTN
| | | | - Roger L. Milne
- Cancer Epidemiology and Intelligence DivisionCancer Council VictoriaMelbourneVICAustralia
- Centre for Epidemiology and BiostatisticsMelbourne School of Population and Global Health, The University of MelbourneMelbourneVICAustralia
| | | | - Lorelei A. Mucci
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMA
- Channing Division of Network MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMA
| | - David E. Neal
- Nuffield Department of SurgeryUniversity of OxfordOxfordUnited Kingdom
| | - Marian L. Neuhouser
- Cancer Prevention Program, Public Health Sciences DivisionFred Hutchinson Cancer Research CenterSeattleWA
| | - Steven E. Oliver
- Department of Health SciencesUniversity of York and the Hull York Medical SchoolYorkUK
| | - Kim Overvad
- Department of Public HealthSection for Epidemiology, Aarhus UniversityAarhusDenmark
| | - Kotaro Ozasa
- Radiation Effects Research FoundationHiroshimaJapan
| | - Valeria Pala
- Epidemiology and Prevention UnitFondazione IRCCS Istituto Nazionale dei Tumori di MilanoMilanItaly
| | - Claire H. Pernar
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMA
| | - Michael Pollak
- Department of Medicine and OncologyMcGill UniversityMontrealQCCanada
- Segal Cancer CentreJewish General HospitalMontrealQCCanada
| | - Mari‐Anne Rowlands
- Department of Population Health SciencesBristol Medical School, University of BristolBristolUnited Kingdom
| | | | - Jeannette M. Schenk
- Cancer Prevention Program, Public Health Sciences DivisionFred Hutchinson Cancer Research CenterSeattleWA
| | - Pär Stattin
- Department of Surgical SciencesUppsala UniversityUppsalaSweden
| | | | - Elin Thysell
- Department of Medical Biosciences and PathologyUmea UniversityUmeaSweden
| | - Mathilde Touvier
- Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS)Nutritional Epidemiology Research Team (EREN), Inserm U1153/Inra U1125/Cnam/Paris 13 UniversityParisFrance
| | | | - Konstantinos K. Tsilidis
- Department of Epidemiology and BiostatisticsImperial College LondonLondonUnited Kingdom
- Department of Hygiene and Epidemiology, School of MedicineUniversity of IoanninaIoanninaGreece
| | | | - Stephanie J. Weinstein
- Division of Cancer Epidemiology and Genetics, Department of Health and Human ServicesNational Cancer Institute, National Institutes of HealthBethesdaMD
| | | | - Bu B. Yeap
- Medical SchoolUniversity of Western AustraliaPerthWAAustralia
- Department of Endocrinology and DiabetesFiona Stanley HospitalPerthWAAustralia
| | - Timothy J. Key
- Cancer Epidemiology UnitNuffield Department of Population Health, University of OxfordOxfordUnited Kingdom
| | - Naomi E. Allen
- Clinical Trial Service Unit and Epidemiological Studies UnitNuffield Department of Population Health, University of OxfordOxfordUnited Kingdom
| | - Ruth C. Travis
- Cancer Epidemiology UnitNuffield Department of Population Health, University of OxfordOxfordUnited Kingdom
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18
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Schenk JM, Neuhouser ML, Beatty SJ, VanDoren M, Lin DW, Porter M, Gore JL, Gulati R, Plymate SR, Wright JL. Randomized trial evaluating the role of weight loss in overweight and obese men with early stage prostate Cancer on active surveillance: Rationale and design of the Prostate Cancer Active Lifestyle Study (PALS). Contemp Clin Trials 2019; 81:34-39. [PMID: 31002955 PMCID: PMC6527481 DOI: 10.1016/j.cct.2019.04.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 03/26/2019] [Accepted: 04/04/2019] [Indexed: 12/01/2022]
Abstract
Active surveillance (AS) is increasingly used to monitor patients with low-risk prostate cancer; however, approximately 50% of AS patients experience disease reclassification requiring definitive treatment and little is known about patient characteristics that modify the risk of reclassification. Obesity may be one of the major contributing factors. The Prostate Cancer Active Lifestyle Study (PALS) is a clinical trial evaluating the impact of weight loss among overweight/obese (Body Mass Index (BMI) ≥ 25 kg/m2) men with clinically localized prostate cancer on AS. Two hundred participants will be randomized to either the PALS intervention, a 6-month structured diet and exercise program adapted from the Diabetes Prevention Program followed by 6 months of maintenance, or control (general diet and physical activity guidelines delivered in a single session). The PALS intervention involves one-on-one instruction with a registered dietitian and exercise physiologist to achieve the study goal of loss of 7% of baseline weight. Participation is coordinated so that the 6-month time point coincides with the participants' standard-of-care AS prostate biopsy. Primary outcomes will evaluate the intervention effects on circulating and tissue markers of glucose and insulin regulation, health-related quality of life and pathologic upgrading on follow-up prostate biopsies. Additional analyses will determine whether changes in weight and glucose regulation can be sustained for 6 months after the end of instruction. Findings from this trial may have wide reaching implications for men diagnosed with clinically-localized prostate cancer by providing an active lifestyle-based approach to improve prostate cancer patient outcomes.
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Affiliation(s)
| | | | | | | | - Daniel W Lin
- Fred Hutchinson Cancer Research Center, United States; University of Washington, United States
| | - Michael Porter
- Veterans Affairs Puget Sound Health Care System, United States; University of Washington, United States
| | | | - Roman Gulati
- Fred Hutchinson Cancer Research Center, United States
| | | | - Jonathan L Wright
- Fred Hutchinson Cancer Research Center, United States; Veterans Affairs Puget Sound Health Care System, United States; University of Washington, United States
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19
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Travis RC, Perez-Cornago A, Appleby PN, Albanes D, Joshu CE, Lutsey PL, Mondul AM, Platz EA, Weinstein SJ, Layne TM, Helzlsouer KJ, Visvanathan K, Palli D, Peeters PH, Bueno-de-Mesquita B, Trichopoulou A, Gunter MJ, Tsilidis KK, Sánchez MJ, Olsen A, Brenner H, Schöttker B, Perna L, Holleczek B, Knekt P, Rissanen H, Yeap BB, Flicker L, Almeida OP, Wong YYE, Chan JM, Giovannucci EL, Stampfer MJ, Ursin G, Gislefoss RE, Bjørge T, Meyer HE, Blomhoff R, Tsugane S, Sawada N, English DR, Eyles DW, Heath AK, Williamson EJ, Manjer J, Malm J, Almquist M, Marchand LL, Haiman CA, Wilkens LR, Schenk JM, Tangen CM, Black A, Cook MB, Huang WY, Ziegler RG, Martin RM, Hamdy FC, Donovan JL, Neal DE, Touvier M, Hercberg S, Galan P, Deschasaux M, Key TJ, Allen NE. A Collaborative Analysis of Individual Participant Data from 19 Prospective Studies Assesses Circulating Vitamin D and Prostate Cancer Risk. Cancer Res 2019; 79:274-285. [PMID: 30425058 PMCID: PMC6330070 DOI: 10.1158/0008-5472.can-18-2318] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 10/04/2018] [Accepted: 11/08/2018] [Indexed: 11/16/2022]
Abstract
Previous prospective studies assessing the relationship between circulating concentrations of vitamin D and prostate cancer risk have shown inconclusive results, particularly for risk of aggressive disease. In this study, we examine the association between prediagnostic concentrations of 25-hydroxyvitamin D [25(OH)D] and 1,25-dihydroxyvitamin D [1,25(OH)2D] and the risk of prostate cancer overall and by tumor characteristics. Principal investigators of 19 prospective studies provided individual participant data on circulating 25(OH)D and 1,25(OH)2D for up to 13,462 men with incident prostate cancer and 20,261 control participants. ORs for prostate cancer by study-specific fifths of season-standardized vitamin D concentration were estimated using multivariable-adjusted conditional logistic regression. 25(OH)D concentration was positively associated with risk for total prostate cancer (multivariable-adjusted OR comparing highest vs. lowest study-specific fifth was 1.22; 95% confidence interval, 1.13-1.31; P trend < 0.001). However, this association varied by disease aggressiveness (P heterogeneity = 0.014); higher circulating 25(OH)D was associated with a higher risk of nonaggressive disease (OR per 80 percentile increase = 1.24, 1.13-1.36) but not with aggressive disease (defined as stage 4, metastases, or prostate cancer death, 0.95, 0.78-1.15). 1,25(OH)2D concentration was not associated with risk for prostate cancer overall or by tumor characteristics. The absence of an association of vitamin D with aggressive disease does not support the hypothesis that vitamin D deficiency increases prostate cancer risk. Rather, the association of high circulating 25(OH)D concentration with a higher risk of nonaggressive prostate cancer may be influenced by detection bias. SIGNIFICANCE: This international collaboration comprises the largest prospective study on blood vitamin D and prostate cancer risk and shows no association with aggressive disease but some evidence of a higher risk of nonaggressive disease.
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Affiliation(s)
- Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
| | - Paul N Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland
| | - Corinne E Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Pamela L Lutsey
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Alison M Mondul
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland
| | - Tracy M Layne
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland
| | - Kathy J Helzlsouer
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Petra H Peeters
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), BA Bilthoven, the Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Pantai Valley, Kuala Lumpur, Malaysia
| | | | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs. Granada, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, 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
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Laura Perna
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | | | - Paul Knekt
- National Institute for Health and Welfare, Helsinki, Finland
| | - Harri Rissanen
- National Institute for Health and Welfare, Helsinki, Finland
| | - Bu B Yeap
- The Medical School, University of Western Australia, Perth, Australia
- Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, Australia
| | - Leon Flicker
- The Medical School, University of Western Australia, Perth, Australia
- Western Australian Centre for Health and Ageing, Centre for Medical Research, Harry Perkins Institute of Medical Research, Perth, Australia
- Department of Geriatric Medicine, Royal Perth Hospital, Perth, Australia
| | - Osvaldo P Almeida
- The Medical School, University of Western Australia, Perth, Australia
- Western Australian Centre for Health and Ageing, Centre for Medical Research, Harry Perkins Institute of Medical Research, Perth, Australia
- Department of Psychiatry, Royal Perth Hospital, Perth, Australia
| | - Yuen Yee Elizabeth Wong
- The Medical School, University of Western Australia, Perth, Australia
- Department of Geriatric Medicine, Fiona Stanley and Fremantle Hospitals Group, Perth, Australia
| | - June M Chan
- Departments of Epidemiology and Biostatistics and Urology, University of California, San Francisco, San Francisco, California
| | - Edward L Giovannucci
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Meir J Stampfer
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Giske Ursin
- Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
| | - Randi E Gislefoss
- Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
| | - Tone Bjørge
- Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Haakon E Meyer
- Department of Community Medicine and Global Health, University of Oslo, Oslo, Norway
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Rune Blomhoff
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
- Division of Cancer Medicine, Department of Clinical Service, Oslo University Hospital, Oslo, Norway
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Dallas R English
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Darryl W Eyles
- Queensland Brain Institute, University of Queensland, Queensland, Australia
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
| | - Elizabeth J Williamson
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Jonas Manjer
- Department of Translational Medicine, Clinical Chemistry, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Johan Malm
- Department of Translational Medicine, Clinical Chemistry, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Martin Almquist
- Department of Surgery, Endocrine-Sarcoma Unit, Skåne University Hospital, Lund, Sweden
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Christopher A Haiman
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Jeannette M Schenk
- Cancer Prevention Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Centre, Seattle, Washington
| | - Cathy M Tangen
- SWOG (Formerly the Southwest Oncology Group) Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland
| | - Michael B Cook
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland
| | - Richard M Martin
- Bristol Medical School Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
- Medical Research Council (MRC) University of Bristol Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, United Kingdom
- National Institute for Health Research, Bristol Biomedical Research Centre, Bristol, United Kingdom
| | - Freddie C Hamdy
- Nuffield Department of Surgery, University of Oxford, Oxford, United Kingdom
| | - Jenny L Donovan
- Bristol Medical School Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - David E Neal
- Nuffield Department of Surgery, University of Oxford, Oxford, United Kingdom
| | - Mathilde Touvier
- Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS), Nutritional Epidemiology Research Team (EREN), Inserm U1153/Inra U1125/Cnam/Paris 13 University, Bobigny, France
| | - Serge Hercberg
- Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS), Nutritional Epidemiology Research Team (EREN), Inserm U1153/Inra U1125/Cnam/Paris 13 University, Bobigny, France
| | - Pilar Galan
- Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS), Nutritional Epidemiology Research Team (EREN), Inserm U1153/Inra U1125/Cnam/Paris 13 University, Bobigny, France
| | - Mélanie Deschasaux
- Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS), Nutritional Epidemiology Research Team (EREN), Inserm U1153/Inra U1125/Cnam/Paris 13 University, Bobigny, France
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Naomi E Allen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
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20
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Partridge EK, Neuhouser ML, Breymeyer K, Schenk JM. Comparison of Nutrient Estimates Based on Food Volume versus Weight: Implications for Dietary Assessment Methods. Nutrients 2018; 10:nu10080973. [PMID: 30060455 PMCID: PMC6115952 DOI: 10.3390/nu10080973] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Revised: 07/12/2018] [Accepted: 07/17/2018] [Indexed: 11/21/2022] Open
Abstract
Novel technology-based dietary assessment methods use volume estimates of foods to assess dietary intake. However, the nutrient content of standard databases is based on food weight. The goal of this study is to evaluate the accuracy of the United States Department of Agriculture National Nutrient Database for Standard Reference (USDA-SR) estimates of volume and the corresponding macronutrient content of the foods. The weights of 35 individual food volumes were measured (on trial) and compared to the USDA-SR-determined weight for the food volume. Macronutrient content corresponding to the trial weight and the USDA-SR weight for the food volume (USDA) were determined using the USDA-SR, and the differences were calculated. There were statistically significant differences between the USDA and trial weights for 80% of foods measured. Calorie estimates by USDA weight were significantly lower than that of trial weight for 54% of foods but were significantly greater for 26% of foods. Differences in macronutrient estimates by trial and USDA weight varied by food type. These findings suggest that nutrient databases based on food weight may not provide accurate estimates of dietary intake when assessed using food volumes. Further development of image-assisted dietary assessment methods which measure food volumes will necessitate evaluation of the accuracy of the processes used to convert weight to volume in nutrient databases.
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Affiliation(s)
- Emma K Partridge
- Nutritional Sciences Program, University of Washington, Seattle, WA 98109-1024, USA.
| | - Marian L Neuhouser
- Nutritional Sciences Program, University of Washington, Seattle, WA 98109-1024, USA.
- Cancer Prevention, Fred Hutch Cancer Research Center, Seattle, WA 98109, USA.
| | - Kara Breymeyer
- Cancer Prevention, Fred Hutch Cancer Research Center, Seattle, WA 98109, USA.
| | - Jeannette M Schenk
- Cancer Prevention, Fred Hutch Cancer Research Center, Seattle, WA 98109, USA.
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21
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Watts EL, Appleby PN, Albanes D, Black A, Chan JM, Chen C, Cirillo PM, Cohn BA, Cook MB, Donovan JL, Ferrucci L, Garland CF, Giles GG, Goodman PJ, Habel LA, Haiman CA, Holly JMP, Hoover RN, Kaaks R, Knekt P, Kolonel LN, Kubo T, Le Marchand L, Luostarinen T, MacInnis RJ, Mäenpää HO, Männistö S, Metter EJ, Milne RL, Nomura AMY, Oliver SE, Parsons JK, Peeters PH, Platz EA, Riboli E, Ricceri F, Rinaldi S, Rissanen H, Sawada N, Schaefer CA, Schenk JM, Stanczyk FZ, Stampfer M, Stattin P, Stenman UH, Tjønneland A, Trichopoulou A, Thompson IM, Tsugane S, Vatten L, Whittemore AS, Ziegler RG, Allen NE, Key TJ, Travis RC. Circulating sex hormones in relation to anthropometric, sociodemographic and behavioural factors in an international dataset of 12,300 men. PLoS One 2017; 12:e0187741. [PMID: 29281666 PMCID: PMC5744924 DOI: 10.1371/journal.pone.0187741] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 10/25/2017] [Indexed: 01/07/2023] Open
Abstract
INTRODUCTION Sex hormones have been implicated in the etiology of a number of diseases. To better understand disease etiology and the mechanisms of disease-risk factor associations, this analysis aimed to investigate the associations of anthropometric, sociodemographic and behavioural factors with a range of circulating sex hormones and sex hormone-binding globulin. METHODS Statistical analyses of individual participant data from 12,330 male controls aged 25-85 years from 25 studies involved in the Endogenous Hormones Nutritional Biomarkers and Prostate Cancer Collaborative Group. Analysis of variance was used to estimate geometric means adjusted for study and relevant covariates. RESULTS Older age was associated with higher concentrations of sex hormone-binding globulin and dihydrotestosterone and lower concentrations of dehydroepiandrosterone sulfate, free testosterone, androstenedione, androstanediol glucuronide and free estradiol. Higher body mass index was associated with higher concentrations of free estradiol, androstanediol glucuronide, estradiol and estrone and lower concentrations of dihydrotestosterone, testosterone, sex hormone-binding globulin, free testosterone, androstenedione and dehydroepiandrosterone sulfate. Taller height was associated with lower concentrations of androstenedione, testosterone, free testosterone and sex hormone-binding globulin and higher concentrations of androstanediol glucuronide. Current smoking was associated with higher concentrations of androstenedione, sex hormone-binding globulin and testosterone. Alcohol consumption was associated with higher concentrations of dehydroepiandrosterone sulfate, androstenedione and androstanediol glucuronide. East Asians had lower concentrations of androstanediol glucuronide and African Americans had higher concentrations of estrogens. Education and marital status were modestly associated with a small number of hormones. CONCLUSION Circulating sex hormones in men are strongly associated with age and body mass index, and to a lesser extent with smoking status and alcohol consumption.
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Affiliation(s)
- Eleanor L. Watts
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Paul N. Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, MD, United States of America
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, MD, United States of America
| | - June M. Chan
- Department of Epidemiology and Biostatistics, University of California-San Francisco, San Francisco, CA, United States of America
- Department of Urology, University of California-San Francisco, San Francisco, CA, United States of America
| | - Chu Chen
- Program in Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Piera M. Cirillo
- Child Health and Development Studies, Public Health Institute, Berkeley, CA, United States of America
| | - Barbara A. Cohn
- Child Health and Development Studies, Public Health Institute, Berkeley, CA, United States of America
| | - Michael B. Cook
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, MD, United States of America
| | - Jenny L. Donovan
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Luigi Ferrucci
- Intramural Research Program, National Institute on Aging, Bethesda, MD, United States of America
| | - Cedric F. Garland
- Department of Family Medicine and Public Health, University of California, San Diego, CA, United States of America
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
| | - Phyllis J. Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Laurel A. Habel
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States of America
| | - Christopher A. Haiman
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Jeff M. P. Holly
- School of Clinical Sciences, Faculty of Health Science, University of Bristol, Bristol, United Kingdom
| | - Robert N. Hoover
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, MD, United States of America
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Paul Knekt
- Department of Health, National Institute for Health and Welfare, Helsinki, Finland
| | - Laurence N. Kolonel
- University of Hawaii Cancer Center, University of Hawaii, Honolulu, HI, United States of America
| | - Tatsuhiko Kubo
- Department of Public Health, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Loïc Le Marchand
- University of Hawaii Cancer Center, University of Hawaii, Honolulu, HI, United States of America
| | - Tapio Luostarinen
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
| | - Robert J. MacInnis
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
| | - Hanna O. Mäenpää
- Department of Oncology, Helsinki University Central Hospital, Helsinki, Finland
| | - Satu Männistö
- Department of Health, National Institute for Health and Welfare, Helsinki, Finland
| | - E. Jeffrey Metter
- Department of Neurology, University of Tennessee Health Science Center, Memphis, TN, United States of America
| | - Roger L. Milne
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
| | - Abraham M. Y. Nomura
- Japan-Hawaii Cancer Study, Kuakini Medical Center, Honolulu, HI, United States of America
| | - Steven E. Oliver
- Department of Health Sciences, University of York, York, United Kingdom
| | - J. Kellogg Parsons
- Division of Urologic Oncology, University of California San Diego Moores Cancer Center, San Diego, CA, United States of America
| | - Petra H. Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Netherlands
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, United Kingdom
| | - Elizabeth A. Platz
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Elio Riboli
- School of Public Health, Imperial College London, London, United Kingdom
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Italy
| | - Sabina Rinaldi
- Biomarkers Group, International Agency for Research on Cancer, Lyon, France
| | - Harri Rissanen
- Department of Health, National Institute for Health and Welfare, Helsinki, Finland
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Catherine A. Schaefer
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States of America
| | - Jeannette M. Schenk
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Frank Z. Stanczyk
- Division of Reproductive Endocrinology and Infertility, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States of America
| | - Meir Stampfer
- Departments of Nutrition and Epidemiology, Harvard University T.H. Chan School of Public Health, Boston, MA, United States of America
- The Channing Division of Network Medicine, Harvard Medical School, Boston, MA, United States of America
| | - Pär Stattin
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
| | - Ulf-Håkan Stenman
- Department of Clinical Chemistry, Medicum, University of Helsinki, Helsinki, Finland
| | - Anne Tjønneland
- Department of Diet, Genes and Environment, The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Greece
| | - Ian M. Thompson
- CHRISTUS Medical Center Hospital, San Antonio, TX, United States of America
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Lars Vatten
- Department of Public Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Alice S. Whittemore
- Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, United States of America
- Department of Biomedical Data Science, Stanford University, Stanford, CA, United States of America
| | - Regina G. Ziegler
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, MD, United States of America
| | - Naomi E. Allen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
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22
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Schenk JM, Song X, Morrissey C, Vessella RL, Lin DW, Neuhouser ML. Plasma Fatty Acids as Surrogate for Prostate Levels. Nutr Cancer 2017; 70:45-50. [PMID: 29267025 DOI: 10.1080/01635581.2018.1412479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Inconsistent results from epidemiologic studies of circulating fatty acids and prostate cancer risk may be partly due to use of blood concentrations as surrogate biomarkers of prostate tissue concentrations. To determine whether blood concentrations reflect prostate tissue fatty acid profiles, we evaluated associations between phospholipid fatty acid (PLFA) profiles measured in plasma and prostate tissue from 20 patients who underwent prostatectomy. For each patient, three prostate tissue specimens varying in size and location were collected. Correlations were calculated between a) tissue specimens by size ( ≤ 20 mg, > 20 mg); b) individual tissue samples [Intraclass Correlation Coefficient (ICC)]; and c) plasma and mean tissue PLFA concentrations. PLFA concentrations from ≤ 20 mg and > 20 mg tissues were nearly identical. For most PLFAs, intra-individual correlations between tissue specimens were moderate to strong (linoleic acid = 0.66, eicosapentaenoic acid = 0.96), with only one ICC below 0.50 (trans-fatty acid 18:2, ICC = 0.28). Most correlations of mean tissue and plasma concentrations were moderate to strong (α-linoleic acid = 0.47, eicosapentaenoic acid = 0.93). PLFA concentrations are largely homogeneous within the prostate and can be reliably measured in small quantities of tissue. The overall strong correlations between plasma and tissue suggest that for most individual PLFAs, plasma concentrations are adequate surrogate markers of prostate tissue concentrations.
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Affiliation(s)
- Jeannette M Schenk
- a Fred Hutchinson Cancer Research Center, Cancer Prevention Program , Seattle , Washington , USA
| | - Xiaoling Song
- a Fred Hutchinson Cancer Research Center, Cancer Prevention Program , Seattle , Washington , USA
| | - Colm Morrissey
- b Department of Urology , University of Washington , Seattle , Washington , USA
| | - Robert L Vessella
- b Department of Urology , University of Washington , Seattle , Washington , USA
| | - Daniel W Lin
- a Fred Hutchinson Cancer Research Center, Cancer Prevention Program , Seattle , Washington , USA.,b Department of Urology , University of Washington , Seattle , Washington , USA
| | - Marian L Neuhouser
- a Fred Hutchinson Cancer Research Center, Cancer Prevention Program , Seattle , Washington , USA
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23
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Petimar J, Wilson KM, Wu K, Wang M, Albanes D, van den Brandt PA, Cook MB, Giles GG, Giovannucci EL, Goodman GE, Goodman PJ, Håkansson N, Helzlsouer K, Key TJ, Kolonel LN, Liao LM, Männistö S, McCullough ML, Milne RL, Neuhouser ML, Park Y, Platz EA, Riboli E, Sawada N, Schenk JM, Tsugane S, Verhage B, Wang Y, Wilkens LR, Wolk A, Ziegler RG, Smith-Warner SA. A Pooled Analysis of 15 Prospective Cohort Studies on the Association between Fruit, Vegetable, and Mature Bean Consumption and Risk of Prostate Cancer. Cancer Epidemiol Biomarkers Prev 2017; 26:1276-1287. [PMID: 28446545 PMCID: PMC5540798 DOI: 10.1158/1055-9965.epi-16-1006] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Revised: 01/04/2017] [Accepted: 03/29/2017] [Indexed: 01/12/2023] Open
Abstract
Background: Relationships between fruit, vegetable, and mature bean consumption and prostate cancer risk are unclear.Methods: We examined associations between fruit and vegetable groups, specific fruits and vegetables, and mature bean consumption and prostate cancer risk overall, by stage and grade, and for prostate cancer mortality in a pooled analysis of 15 prospective cohorts, including 52,680 total cases and 3,205 prostate cancer-related deaths among 842,149 men. Diet was measured by a food frequency questionnaire or similar instrument at baseline. We calculated study-specific relative risks using Cox proportional hazards regression, and then pooled these estimates using a random effects model.Results: We did not observe any statistically significant associations for advanced prostate cancer or prostate cancer mortality with any food group (including total fruits and vegetables, total fruits, total vegetables, fruit and vegetable juice, cruciferous vegetables, and tomato products), nor specific fruit and vegetables. In addition, we observed few statistically significant results for other prostate cancer outcomes. Pooled multivariable relative risks comparing the highest versus lowest quantiles across all fruit and vegetable exposures and prostate cancer outcomes ranged from 0.89 to 1.09. There was no evidence of effect modification for any association by age or body mass index.Conclusions: Results from this large, international, pooled analysis do not support a strong role of collective groupings of fruits, vegetables, or mature beans in prostate cancer.Impact: Further investigation of other dietary exposures, especially indicators of bioavailable nutrient intake or specific phytochemicals, should be considered for prostate cancer risk. Cancer Epidemiol Biomarkers Prev; 26(8); 1276-87. ©2017 AACR.
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Affiliation(s)
- Joshua Petimar
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Kathryn M Wilson
- 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
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Molin Wang
- 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 Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Piet A van den Brandt
- Department of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Michael B Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Carlton, Victoria, Australia
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- 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 Medicine, Harvard Medical School, Boston, Massachusetts
| | - Gary E Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | | | - Niclas Håkansson
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kathy Helzlsouer
- Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, Bethesda, Maryland
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Laurence N Kolonel
- Department of Public Health Sciences, University of Hawaii, Honolulu, Hawaii
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Satu Männistö
- Department of Health, National Institute for Health and Welfare, Helsinki, Finland
| | | | - Roger L Milne
- Cancer Epidemiology Centre, Cancer Council Victoria, Carlton, Victoria, Australia
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Yikyung Park
- Division of Public Health Sciences, Washington University School of Medicine, St. Louis, Missouri
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Elio Riboli
- School of Public Health, Imperial College London, London, United Kingdom
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Jeannette M Schenk
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Bas Verhage
- Department of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Ying Wang
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Alicja Wolk
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Stephanie A Smith-Warner
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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24
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Zia JK, Chung CF, Schroeder J, Munson SA, Kientz JA, Fogarty J, Bales E, Schenk JM, Heitkemper MM. The feasibility, usability, and clinical utility of traditional paper food and symptom journals for patients with irritable bowel syndrome. Neurogastroenterol Motil 2017; 29. [PMID: 27619957 DOI: 10.1111/nmo.12935] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2016] [Accepted: 08/06/2016] [Indexed: 12/11/2022]
Abstract
BACKGROUND Paper food and gastrointestinal (GI) symptom journals are used to help irritable bowel syndrome (IBS) patients determine potential trigger foods. The primary aim of this study was to evaluate the feasibility, usability, and clinical utility of such journals as a data collection tool. A secondary aim was to explore a method for analyzing journal data to describe patterns of diet and symptoms. METHODS Participants (N=17) were asked to log three sets of 3-day food and symptom journals over a 15-day period. Feasibility was evaluated by journal completion rates, symptom logging compliance, and logging fatigability. The feasibility, usability, and clinical utility of journaling were also assessed by a customized evaluation and exit interview. For each journal, regression analyses were conducted to examine relationships between key meal nutrients and subsequent symptoms. KEY RESULTS Most participants were young (mean age 35±12) Caucasian (N=13) women (N=14). Journal completion rates were 100% for all participants with no logging fatigability. Over half perceived paper journaling of food and symptoms as feasible, usable, and clinically useful. Thirteen participants demonstrated a strong association with at least one symptom and meal nutrient. Patterns of associations differed among participants. CONCLUSIONS AND INFERENCES Paper journaling of food and GI symptoms for 9 days over a 15-day period appeared to be a feasible and usable data collection tool for IBS patients. Over half perceived journaling as at least somewhat clinically useful. Findings from this study support the anecdote that food trigger(s) and associated symptom(s) vary for each individual.
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Affiliation(s)
- J K Zia
- Division of Gastroenterology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - C-F Chung
- Department of Human Centered Design & Engineering, University of Washington, Seattle, WA, USA
| | - J Schroeder
- Department of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - S A Munson
- Department of Human Centered Design & Engineering, University of Washington, Seattle, WA, USA
| | - J A Kientz
- Department of Human Centered Design & Engineering, University of Washington, Seattle, WA, USA
| | - J Fogarty
- Department of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - E Bales
- Department of Human Centered Design & Engineering, University of Washington, Seattle, WA, USA
| | - J M Schenk
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - M M Heitkemper
- Department of Biobehavioral Nursing and Health Systems, University of Washington, Seattle, WA, USA
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25
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Allen NE, Travis RC, Appleby PN, Albanes D, Barnett MJ, Black A, Bueno-de-Mesquita HB, Deschasaux M, Galan P, Goodman GE, Goodman PJ, Gunter MJ, Heliövaara M, Helzlsouer KJ, Henderson BE, Hercberg S, Knekt P, Kolonel LN, Lasheras C, Linseisen J, Metter EJ, Neuhouser ML, Olsen A, Pala V, Platz EA, Rissanen H, Reid ME, Schenk JM, Stampfer MJ, Stattin P, Tangen CM, Touvier M, Trichopoulou A, van den Brandt PA, Key TJ. Selenium and Prostate Cancer: Analysis of Individual Participant Data From Fifteen Prospective Studies. J Natl Cancer Inst 2016; 108:djw153. [PMID: 27385803 PMCID: PMC5241899 DOI: 10.1093/jnci/djw153] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Revised: 04/15/2016] [Accepted: 05/17/2016] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Some observational studies suggest that a higher selenium status is associated with a lower risk of prostate cancer but have been generally too small to provide precise estimates of associations, particularly by disease stage and grade. METHODS Collaborating investigators from 15 prospective studies provided individual-participant records (from predominantly men of white European ancestry) on blood or toenail selenium concentrations and prostate cancer risk. Odds ratios of prostate cancer by selenium concentration were estimated using multivariable-adjusted conditional logistic regression. All statistical tests were two-sided. RESULTS Blood selenium was not associated with the risk of total prostate cancer (multivariable-adjusted odds ratio [OR] per 80 percentile increase = 1.01, 95% confidence interval [CI] = 0.83 to 1.23, based on 4527 case patients and 6021 control subjects). However, there was heterogeneity by disease aggressiveness (ie, advanced stage and/or prostate cancer death, Pheterogeneity = .01), with high blood selenium associated with a lower risk of aggressive disease (OR = 0.43, 95% CI = 0.21 to 0.87) but not with nonaggressive disease. Nail selenium was inversely associated with total prostate cancer (OR = 0.29, 95% CI = 0.22 to 0.40, Ptrend < .001, based on 1970 case patients and 2086 control subjects), including both nonaggressive (OR = 0.33, 95% CI = 0.22 to 0.50) and aggressive disease (OR = 0.18, 95% CI = 0.11 to 0.31, Pheterogeneity = .08). CONCLUSIONS Nail, but not blood, selenium concentration is inversely associated with risk of total prostate cancer, possibly because nails are a more reliable marker of long-term selenium exposure. Both blood and nail selenium concentrations are associated with a reduced risk of aggressive disease, which warrants further investigation.
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Affiliation(s)
- Naomi E Allen
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Ruth C Travis
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Paul N Appleby
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Demetrius Albanes
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Matt J Barnett
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Amanda Black
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - H Bas Bueno-de-Mesquita
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Mélanie Deschasaux
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Pilar Galan
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Gary E Goodman
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Phyllis J Goodman
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Marc J Gunter
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Markku Heliövaara
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Kathy J Helzlsouer
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Brian E Henderson
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Serge Hercberg
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Paul Knekt
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Laurence N Kolonel
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Christina Lasheras
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Jakob Linseisen
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - E Jeffrey Metter
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Marian L Neuhouser
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Anja Olsen
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Valeria Pala
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Elizabeth A Platz
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Harri Rissanen
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Mary E Reid
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Jeannette M Schenk
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Meir J Stampfer
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Pär Stattin
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Catherine M Tangen
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Mathilde Touvier
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Antonia Trichopoulou
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Piet A van den Brandt
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
| | - Timothy J Key
- Affiliations of authors: Clinical Trial Service Unit and Epidemiological Studies Unit (NEA) and Cancer Epidemiology Unit (RCT, PNA, TJK), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD (DA, AB); Division of Public Health Science (MJB, GEG, MLN), SWOG (formerly the Southwest Oncology Group) Statistical Center (PJG, CMT), and Cancer Prevention Program (JMS), Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Epidemiology (JMS) and Department of Biostatistics (CMT), University of Washington, Seattle, WA; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (HBBdM); Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands (HBBdM); Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK (HBBdM, MJG); Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia (HBBdM); Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France (MD, PG, SH, MT); National Institute for Health and Welfare, Helsinki, Finland (MH, PK, HR); The Prevention and Research Center Mercy Medical Center, Baltimore, MD (KJH); Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (BEH); University of Hawaii Cancer Center, Honolulu, HI (LNK); Department of Functional Biology, Faculty of Medicine, University of Oviedo, Asturias, Spain (CL); Institute of Epidemiology II, Helmholtz-Zentrum München, Neuherberg, Germany (formerly of Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany) (JL); Intramural Research Program, National Institute on Aging, Department of Neurology, University of Tennessee Health Science Center, Memphis, TN (EJM); Danish Cancer Society Research Center, Copenhagen, Denmark (AO); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy (VP); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (EAP); Roswell Park Cancer Institute, New York, NY (MER); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MJS); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MJS); Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden (PS); Hellenic Health Foundation, Athens, Greece (AT); Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands (PAvdB)
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Song X, Diep P, Schenk JM, Casper C, Orem J, Makhoul Z, Lampe JW, Neuhouser ML. Changes in relative and absolute concentrations of plasma phospholipid fatty acids observed in a randomized trial of Omega-3 fatty acids supplementation in Uganda. Prostaglandins Leukot Essent Fatty Acids 2016; 114:11-16. [PMID: 27926458 PMCID: PMC5147508 DOI: 10.1016/j.plefa.2016.09.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Revised: 08/18/2016] [Accepted: 09/28/2016] [Indexed: 12/11/2022]
Abstract
Expressing circulating phospholipid fatty acids (PLFAs) in relative concentrations has some limitations: the total of all fatty acids are summed to 100%; therefore, the values of individual fatty acid are not independent. In this study we examined if both relative and absolute metrics could effectively measure changes in circulating PLFA concentrations in an intervention trial. 66 HIV and HHV8 infected patients in Uganda were randomized to take 3g/d of either long-chain omega-3 fatty acids (1856mg EPA and 1232mg DHA) or high-oleic safflower oil in a 12-week double-blind trial. Plasma samples were collected at baseline and end of trial. Relative weight percentage and absolute concentrations of 41 plasma PLFAs were measured using gas chromatography. Total cholesterol was also measured. Intervention-effect changes in concentrations were calculated as differences between end of 12-week trial and baseline. Pearson correlations of relative and absolute concentration changes in individual PLFAs were high (>0.6) for 37 of the 41 PLFAs analyzed. In the intervention arm, 17 PLFAs changed significantly in relative concentration and 16 in absolute concentration, 15 of which were identical. Absolute concentration of total PLFAs decreased 95.1mg/L (95% CI: 26.0, 164.2; P=0.0085), but total cholesterol did not change significantly in the intervention arm. No significant change was observed in any of the measurements in the placebo arm. Both relative weight percentage and absolute concentrations could effectively measure changes in plasma PLFA concentrations. EPA and DHA supplementation changes the concentrations of multiple plasma PLFAs besides EPA and DHA.Both relative weight percentage and absolute concentrations could effectively measure changes in plasma phospholipid fatty acid (PLFA) concentrations.
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Affiliation(s)
- Xiaoling Song
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Pho Diep
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jeannette M Schenk
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Corey Casper
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jackson Orem
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Uganda Cancer Institute, Kampala, Uganda
| | - Zeina Makhoul
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Johanna W Lampe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Marian L Neuhouser
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
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Tangen CM, Goodman PJ, Till C, Schenk JM, Lucia MS, Thompson IM. Biases in Recommendations for and Acceptance of Prostate Biopsy Significantly Affect Assessment of Prostate Cancer Risk Factors: Results From Two Large Randomized Clinical Trials. J Clin Oncol 2016; 34:4338-4344. [PMID: 27998216 DOI: 10.1200/jco.2016.68.1965] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Purpose To identify factors related to who undergoes a prostate biopsy in a screened population and to estimate the impact of biopsy verification on risk factor-prostate cancer associations. Patients and Methods Men who were screened regularly from the placebo arms of two large prostate cancer prevention trials (Prostate Cancer Prevention Trial [PCPT] and Selenium and Vitamin E Cancer Prevention Trial [SELECT]) were examined to define incident prostate cancer cohorts. Because PCPT had an end-of-study biopsy, prostate cancer cases were categorized by a preceding prostate-specific antigen/digital rectal examination prompt (yes/no) and noncases by biopsy-proven negative status (yes v no). We estimated the association of risk factors (age, ethnicity, family history, body mass index, medication use) with prostate cancer and quantified differences in risk associations across cohorts. Results Men 60 to 69 years of age, those with benign prostatic hyperplasia, and those with a family history of prostate cancer were more likely, and those with a higher body mass index (≥ 25), diabetes, or a smoking history were less likely, to undergo biopsy, adjusting for age and longitudinal prostate-specific antigen and digital rectal examination. Medication use, education, and marital status also influenced who underwent biopsy. Some risk factor estimates for prostate cancer varied substantially across cohorts. Black ( v other ethnicities) had odds ratios (ORs) that varied from 1.20 for SELECT (community screening standards, epidemiologic-like cohort) to 1.83 for PCPT (end-of-study biopsy supplemented with imputed end points). Statin use in SELECT provided an OR of 0.65 and statin use in in PCPT provided an OR of 0.99, a relative difference of 34%. Conclusion Among screened men enrolled in prostate cancer prevention trials, differences in risk factor estimates for prostate cancer likely underestimate the magnitude of bias found in other cohorts with varying screening and biopsy recommendations and acceptance. Risk factors for prostate cancer derived from epidemiologic studies not only may be erroneous but may lead to misdirected research efforts.
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Affiliation(s)
- Catherine M Tangen
- Catherine M. Tangen, Phyllis J. Goodman, Cathee Till, and Jeannette M. Schenk, Fred Hutchinson Cancer Research Center, Seattle, WA; M. Scott Lucia, University of Colorado Denver School of Medicine, Denver, CO; and Ian M. Thompson Jr, The Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Phyllis J Goodman
- Catherine M. Tangen, Phyllis J. Goodman, Cathee Till, and Jeannette M. Schenk, Fred Hutchinson Cancer Research Center, Seattle, WA; M. Scott Lucia, University of Colorado Denver School of Medicine, Denver, CO; and Ian M. Thompson Jr, The Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Cathee Till
- Catherine M. Tangen, Phyllis J. Goodman, Cathee Till, and Jeannette M. Schenk, Fred Hutchinson Cancer Research Center, Seattle, WA; M. Scott Lucia, University of Colorado Denver School of Medicine, Denver, CO; and Ian M. Thompson Jr, The Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Jeannette M Schenk
- Catherine M. Tangen, Phyllis J. Goodman, Cathee Till, and Jeannette M. Schenk, Fred Hutchinson Cancer Research Center, Seattle, WA; M. Scott Lucia, University of Colorado Denver School of Medicine, Denver, CO; and Ian M. Thompson Jr, The Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - M Scott Lucia
- Catherine M. Tangen, Phyllis J. Goodman, Cathee Till, and Jeannette M. Schenk, Fred Hutchinson Cancer Research Center, Seattle, WA; M. Scott Lucia, University of Colorado Denver School of Medicine, Denver, CO; and Ian M. Thompson Jr, The Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Ian M Thompson
- Catherine M. Tangen, Phyllis J. Goodman, Cathee Till, and Jeannette M. Schenk, Fred Hutchinson Cancer Research Center, Seattle, WA; M. Scott Lucia, University of Colorado Denver School of Medicine, Denver, CO; and Ian M. Thompson Jr, The Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, TX
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28
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Liss MA, Schenk JM, Faino AV, Newcomb LF, Boyer H, Brooks JD, Carroll PR, Dash A, Fabrizio MD, Gleave ME, Nelson PS, Neuhouser ML, Wei JT, Zheng Y, Wright JL, Lin DW, Thompson IM. A diagnosis of prostate cancer and pursuit of active surveillance is not followed by weight loss: potential for a teachable moment. Prostate Cancer Prostatic Dis 2016; 19:390-394. [PMID: 27431498 DOI: 10.1038/pcan.2016.28] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Revised: 05/12/2016] [Accepted: 06/07/2016] [Indexed: 01/28/2023]
Abstract
BACKGROUND Obesity is a risk factor for incident prostate cancer (PC) as well as risk of disease progression and mortality. We hypothesized that men diagnosed with lower-risk PC and who elected active surveillance (AS) for their cancer management would likely initiate lifestyle changes that lead to weight loss. METHODS Patients were enrolled in the Prostate Active Surveillance Study (PASS), a multicenter prospective biomarker discovery and validation study of men who have chosen AS for their PC. Data from 442 men diagnosed with PC within 1 year of study entry who completed a standard of care 12-month follow-up visit were analyzed. We examined the change in weight and body mass index (BMI) over the first year of study participation. RESULTS After 1 year on AS, 7.5% (33/442) of patients had lost 5% or more of their on-study weight. The proportion of men who lost 5% or more weight was similar across categories of baseline BMI: normal/underweight (8%), overweight (6%) and obese (10%, χ2 test P=0.44). The results were similar for patients enrolled in the study 1 year or 6 months after diagnosis. By contrast, after 1 year, 7.7% (34/442) of patients had gained >5% of their weight. CONCLUSIONS Only 7.5% of men with low-risk PC enrolled in AS lost a modest (⩾5%) amount of weight after diagnosis. Given that obesity is related to PC progression and mortality, targeted lifestyle interventions may be effective at this 'teachable moment', as men begin AS for low-risk PC.
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Affiliation(s)
- M A Liss
- Department of Urology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - J M Schenk
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - A V Faino
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - L F Newcomb
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA, USA
| | - H Boyer
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA, USA
| | | | - P R Carroll
- University of California at San Francisco, San Francisco, CA, USA
| | - A Dash
- University of Washington, Seattle, WA, USA
| | - M D Fabrizio
- Eastern Virginia Medical School, Norfolk, VA, USA
| | - M E Gleave
- University of British Columbia, Vancouver, BC, Canada
| | - P S Nelson
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA, USA
| | - M L Neuhouser
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - J T Wei
- University of Michigan, Ann Arbor, MI, USA
| | - Y Zheng
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - J L Wright
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA, USA
| | - D W Lin
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA, USA
| | - I M Thompson
- Department of Urology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
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Song X, Schenk JM, Diep P, Murphy RA, Harris TB, Eiriksdottir G, Gudnason V, Casper C, Lampe JW, Neuhouser ML. Measurement of Circulating Phospholipid Fatty Acids: Association between Relative Weight Percentage and Absolute Concentrations. J Am Coll Nutr 2016; 35:647-656. [PMID: 27314836 DOI: 10.1080/07315724.2015.1116417] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Most epidemiologic studies of circulating phospholipid fatty acids (PLFAs) and disease risk have used the relative concentration (percentage of total) of each fatty acid as the measure of exposure. Using relative concentrations, the total of all fatty acids is summed to 100% and thus the values of individual fatty acid are not independent. This has led to debate, along with the suggestion to use absolute concentrations of fatty acids. We aimed to examine the relationship between relative (weight percentage) and absolute (mg/L) concentrations of individual circulating PLFAs. METHODS Relative and absolute concentrations of 41 circulating PLFAs were measured by gas chromatography in samples from 3 diverse populations. Correlations between the relative and absolute concentrations for each fatty acid were used to measure agreement. Unadjusted correlations and correlations adjusting absolute PLFA concentrations for total cholesterol were calculated. RESULTS Unadjusted correlations between relative and absolute concentrations, as well as correlations adjusting absolute PLFA concentrations for total cholesterol, were high for most PLFAs in all 3 studies. Across the 3 studies, 28 of the 41 analyzed PLFAs had unadjusted correlations > 0.6 and 39 had adjusted correlations > 0.6. CONCLUSIONS Choice of relative vs absolute concentration may not affect interpretation of results for most circulating PLFAs in studies of association between individual PLFAs and disease outcomes, especially if a covariate reflecting total lipids, such as total circulating cholesterol, is included in the model. However, for fatty acids, such as 16:0 (palmitic acid), with low correlation between the 2 metrics, using relative vs absolute concentration may lead to different inferences regarding their association with the outcome. Because both concentrations could be obtained simultaneously from the same laboratory assay, use of both metrics is warranted to better understand PLFA-disease relationships.
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Affiliation(s)
- Xiaoling Song
- a Public Health Sciences Division , Fred Hutchinson Cancer Research Center , Seattle , Washington
| | - Jeannette M Schenk
- a Public Health Sciences Division , Fred Hutchinson Cancer Research Center , Seattle , Washington
| | - Pho Diep
- a Public Health Sciences Division , Fred Hutchinson Cancer Research Center , Seattle , Washington
| | - Rachel A Murphy
- b Laboratory of Epidemiology and Population Sciences , National Institute on Aging , Bethesda , Maryland
| | - Tamara B Harris
- b Laboratory of Epidemiology and Population Sciences , National Institute on Aging , Bethesda , Maryland
| | | | - Vilmundur Gudnason
- c Icelandic Heart Association , Kopavogur , ICELAND.,d Faculty of Medicine , University of Iceland , Reykjavik , ICELAND
| | - Corey Casper
- a Public Health Sciences Division , Fred Hutchinson Cancer Research Center , Seattle , Washington
| | - Johanna W Lampe
- a Public Health Sciences Division , Fred Hutchinson Cancer Research Center , Seattle , Washington
| | - Marian L Neuhouser
- a Public Health Sciences Division , Fred Hutchinson Cancer Research Center , Seattle , Washington
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30
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Wu K, Spiegelman D, Hou T, Albanes D, Allen NE, Berndt SI, van den Brandt PA, Giles GG, Giovannucci E, Goldbohm RA, Goodman GG, Goodman PJ, Håkansson N, Inoue M, Key TJ, Kolonel LN, Männistö S, McCullough ML, Neuhouser ML, Park Y, Platz EA, Schenk JM, Sinha R, Stampfer MJ, Stevens VL, Tsugane S, Visvanathan K, Wilkens LR, Wolk A, Ziegler RG, Smith-Warner SA. Associations between unprocessed red and processed meat, poultry, seafood and egg intake and the risk of prostate cancer: A pooled analysis of 15 prospective cohort studies. Int J Cancer 2016; 138:2368-82. [PMID: 26685908 PMCID: PMC4837898 DOI: 10.1002/ijc.29973] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Revised: 09/27/2015] [Accepted: 09/30/2015] [Indexed: 12/16/2022]
Abstract
Reports relating meat intake to prostate cancer risk are inconsistent. Associations between these dietary factors and prostate cancer were examined in a consortium of 15 cohort studies. During follow-up, 52,683 incident prostate cancer cases, including 4,924 advanced cases, were identified among 842,149 men. Cox proportional hazard models were used to calculate study-specific relative risks (RR) and then pooled using random effects models. Results do not support a substantial effect of total red, unprocessed red and processed meat for all prostate cancer outcomes, except for a modest positive association for tumors identified as advanced stage at diagnosis (advanced(r)). For seafood, no substantial effect was observed for prostate cancer regardless of stage or grade. Poultry intake was inversely associated with risk of advanced and fatal cancers (pooled multivariable RR [MVRR], 95% confidence interval, comparing ≥ 45 vs. <5 g/day: advanced 0.83, 0.70-0.99; trend test p value 0.29), fatal, 0.69, 0.59-0.82, trend test p value 0.16). Participants who ate ≥ 25 versus <5 g/day of eggs (1 egg ∼ 50 g) had a significant 14% increased risk of advanced and fatal cancers (advanced 1.14, 1.01-1.28, trend test p value 0.01; fatal 1.14, 1.00-1.30, trend test p value 0.01). When associations were analyzed separately by geographical region (North America vs. other continents), positive associations between unprocessed red meat and egg intake, and inverse associations between poultry intake and advanced, advanced(r) and fatal cancers were limited to North American studies. However, differences were only statistically significant for eggs. Observed differences in associations by geographical region warrant further investigation.
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Affiliation(s)
- Kana Wu
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Donna Spiegelman
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Tao Hou
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD
| | - Naomi E. Allen
- Nuffield Department of Population Health, Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, United Kingdom
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD
| | - Piet A. van den Brandt
- Department of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Graham G. Giles
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Edward Giovannucci
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - R. Alexandra Goldbohm
- Department of Food and Chemical Risk Analysis, TNO Quality of Life, Zeist, The Netherlands
| | - Gary G. Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Niclas Håkansson
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Manami Inoue
- Epidemiology and Prevention Group, Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan
| | - Timothy J. Key
- Nuffield Department of Population Health, Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Laurence N. Kolonel
- Department of Epidemiology, Cancer Research Center, University of Hawaii, Honolulu, HI
| | - Satu Männistö
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | | | - Marian L. Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Yikyung Park
- Division of Public Health Sciences, Washington University School of Medicine, St. Louis, MO
| | - Elizabeth A. Platz
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Jeannette M. Schenk
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD
| | - Meir J. Stampfer
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | | | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan
| | - Kala Visvanathan
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Lynne R. Wilkens
- Department of Epidemiology, Cancer Research Center, University of Hawaii, Honolulu, HI
| | - Alicja Wolk
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Regina G. Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD
| | - Stephanie A. Smith-Warner
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
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31
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Price DK, Chau CH, Till C, Goodman PJ, Leach RJ, Johnson-Pais TL, Hsing AW, Hoque A, Parnes HL, Schenk JM, Tangen CM, Thompson IM, Reichardt JKV, Figg WD. Association of androgen metabolism gene polymorphisms with prostate cancer risk and androgen concentrations: Results from the Prostate Cancer Prevention Trial. Cancer 2016; 122:2332-40. [PMID: 27164191 DOI: 10.1002/cncr.30071] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Revised: 03/10/2016] [Accepted: 03/14/2016] [Indexed: 11/07/2022]
Abstract
BACKGROUND Prostate cancer is highly influenced by androgens and genes. The authors investigated whether genetic polymorphisms along the androgen biosynthesis and metabolism pathways are associated with androgen concentrations or with the risk of prostate cancer or high-grade disease from finasteride treatment. METHODS A nested case-control study from the Prostate Cancer Prevention Trial using data from men who had biopsy-proven prostate cancer (cases) and a group of biopsy-negative, frequency-matched controls was conducted to investigate the association of 51 single nucleotide polymorphisms (SNPs) in 12 genes of the androgen pathway with overall (total), low-grade, and high-grade prostate cancer incidence and serum hormone concentrations. RESULTS There were significant associations of genetic polymorphisms in steroid 5α-reductase 1 (SRD5A1) (reference SNPs: rs3736316, rs3822430, rs1560149, rs248797, and rs472402) and SRD5A2 (rs2300700) with the risk of high-grade prostate cancer in the placebo arm of the Prostate Cancer Prevention Trial; 2 SNPs were significantly associated with an increased risk (SRD5A1 rs472402 [odds ratio, 1.70; 95% confidence interval, 1.05-2.75; Ptrend = .03] and SRD5A2 rs2300700 [odds ratio, 1.94; 95% confidence interval, 1.19-3.18; Ptrend = .01]). Eleven SNPs in SRD5A1, SRD5A2, cytochrome P450 family 1, subfamily B, polypeptide 1 (CYP1B1), and CYP3A4 were associated with modifying the mean concentrations of serum androgen and sex hormone-binding globulin; and 2 SNPs (SRD5A1 rs824811 and CYP1B1 rs10012; Ptrend < .05) consistently and significantly altered all androgen concentrations. Several SNPs (SRD5A1 rs3822430, SRD5A2 rs2300700, CYP3A43 rs800672, and CYP19 rs700519; Ptrend < .05) were significantly associated with both circulating hormone levels and prostate cancer risk. CONCLUSIONS Germline genetic variations of androgen-related pathway genes are associated with serum androgen concentrations and the risk of prostate cancer. Further studies to examine the functional consequence of novel causal variants are warranted. Cancer 2016;122:2332-2340. © 2016 American Cancer Society.
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Affiliation(s)
- Douglas K Price
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Cindy H Chau
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Cathee Till
- Southwest Oncology Group Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Phyllis J Goodman
- Southwest Oncology Group Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Robin J Leach
- Department of Urology, University of Texas Health Science Center at San Antonio, San Antonio, Texas
| | - Teresa L Johnson-Pais
- Department of Urology, University of Texas Health Science Center at San Antonio, San Antonio, Texas
| | - Ann W Hsing
- Cancer Prevention Institute of California, Fremont, California.,Stanford Cancer Institute, Palo Alto, California
| | - Ashraful Hoque
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Howard L Parnes
- Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland
| | - Jeannette M Schenk
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Catherine M Tangen
- Southwest Oncology Group Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Ian M Thompson
- Department of Urology, University of Texas Health Science Center at San Antonio, San Antonio, Texas
| | - Juergen K V Reichardt
- Division of Tropical Health and Medicine, James Cook University, Townsville, Queensland, Australia
| | - William D Figg
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
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Travis RC, Appleby PN, Martin RM, Holly JM, Albanes D, Black A, Bueno-de-Mesquita H, Chan JM, Chen C, Chirlaque MD, Cook MB, Deschasaux M, Donovan JL, Ferrucci L, Galan P, Giles GG, Giovannucci EL, Gunter MJ, Habel LA, Hamdy FC, Helzlsouer KJ, Hercberg S, Hoover RN, Janssen JA, Kaaks R, Kubo T, Le Marchand L, Metter EJ, Mikami K, Morris JK, Neal DE, Neuhouser ML, Ozasa K, Palli D, Platz EA, Pollak M, Price AJ, Roobol MJ, Schaefer C, Schenk JM, Severi G, Stampfer MJ, Stattin P, Tamakoshi A, Tangen CM, Touvier M, Wald NJ, Weiss NS, Ziegler RG, Key TJ, Allen NE. A Meta-analysis of Individual Participant Data Reveals an Association between Circulating Levels of IGF-I and Prostate Cancer Risk. Cancer Res 2016; 76:2288-2300. [PMID: 26921328 PMCID: PMC4873385 DOI: 10.1158/0008-5472.can-15-1551] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Accepted: 12/22/2015] [Indexed: 11/16/2022]
Abstract
The role of insulin-like growth factors (IGF) in prostate cancer development is not fully understood. To investigate the association between circulating concentrations of IGFs (IGF-I, IGF-II, IGFBP-1, IGFBP-2, and IGFBP-3) and prostate cancer risk, we pooled individual participant data from 17 prospective and two cross-sectional studies, including up to 10,554 prostate cancer cases and 13,618 control participants. Conditional logistic regression was used to estimate the ORs for prostate cancer based on the study-specific fifth of each analyte. Overall, IGF-I, IGF-II, IGFBP-2, and IGFBP-3 concentrations were positively associated with prostate cancer risk (Ptrend all ≤ 0.005), and IGFBP-1 was inversely associated weakly with risk (Ptrend = 0.05). However, heterogeneity between the prospective and cross-sectional studies was evident (Pheterogeneity = 0.03), unless the analyses were restricted to prospective studies (with the exception of IGF-II, Pheterogeneity = 0.02). For prospective studies, the OR for men in the highest versus the lowest fifth of each analyte was 1.29 (95% confidence interval, 1.16-1.43) for IGF-I, 0.81 (0.68-0.96) for IGFBP-1, and 1.25 (1.12-1.40) for IGFBP-3. These associations did not differ significantly by time-to-diagnosis or tumor stage or grade. After mutual adjustment for each of the other analytes, only IGF-I remained associated with risk. Our collaborative study represents the largest pooled analysis of the relationship between prostate cancer risk and circulating concentrations of IGF-I, providing strong evidence that IGF-I is highly likely to be involved in prostate cancer development. Cancer Res; 76(8); 2288-300. ©2016 AACR.
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Affiliation(s)
- Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Paul N. Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Richard M. Martin
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Medical Research Council/University of Bristol Integrative Epidemiology Unit, University of Bristol, and National Institute for Health Research, Bristol Biomedical Research Unit in Nutrition, Bristol, UK
| | - Jeff M.P. Holly
- School of Clinical Science, Faculty of Medicine, University of Bristol, Bristol, UK
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, MD, USA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, MD, USA
| | - H.B(as). Bueno-de-Mesquita
- Dt. for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, and Dt. of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands, and Dt. of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - June M. Chan
- Departments of Epidemiology & Biostatistics and Urology, University of California San Francisco, CA, USA
| | - Chu Chen
- Division of Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Maria-Dolores Chirlaque
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, and CIBER Epidemiología y Salud Pública, Spain
| | - Michael B. Cook
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, MD, USA
| | - Mélanie Deschasaux
- Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, F-93017, Bobigny, France
| | - Jenny L. Donovan
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Luigi Ferrucci
- Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
| | - Pilar Galan
- Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, F-93017, Bobigny, France
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria, Australia
| | - Edward L. Giovannucci
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Department of Nutrition and Department of Medicine, Harvard School of Public Health, Boston, MA, USA
| | - Marc J. Gunter
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Laurel A. Habel
- Division of Research, Kaiser Permanente, Northern California, Oakland, California, USA
| | | | - Kathy J. Helzlsouer
- The Prevention and Research Center, Mercy Medical Center, Baltimore, MD, USA
| | - Serge Hercberg
- Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, F-93017, Bobigny, France
| | - Robert N. Hoover
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, MD, USA
| | | | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Tatsuhiko Kubo
- University of Occupational and Environmental Health, Kitakyushu, Japan
| | | | - E. Jeffrey Metter
- Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
- Department of Neurology, University of Tennessee Health Science Center, Memphis, TN
| | - Kazuya Mikami
- Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Joan K. Morris
- Wolfson Institute of Preventive Medicine, Queen Mary University of London, Charterhouse Square, London, UK
| | | | - Marian L. Neuhouser
- Division of Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Kotaro Ozasa
- Radiation Effects Research Foundation, Hiroshima, Japan
| | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute – ISPO, Florence, Italy
| | - Elizabeth A. Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Michael Pollak
- Departments of Medicine and Oncology, McGill University, Montreal, QC, Canada
| | - Alison J. Price
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Catherine Schaefer
- Division of Research, Kaiser Permanente, Northern California, Oakland, California, USA
| | - Jeannette M. Schenk
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria, Australia
- Human Genetics Foundation, Torino, Italy
| | - Meir J. Stampfer
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Pär Stattin
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
| | - Akiko Tamakoshi
- Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Catherine M. Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, and Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Mathilde Touvier
- Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team, Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, F-93017, Bobigny, France
| | | | | | - Regina G. Ziegler
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, MD, USA
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Naomi E. Allen
- Clinical Trials Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Barrington WE, Schenk JM, Etzioni R, Arnold KB, Neuhouser ML, Thompson IM, Lucia MS, Kristal AR. Difference in Association of Obesity With Prostate Cancer Risk Between US African American and Non-Hispanic White Men in the Selenium and Vitamin E Cancer Prevention Trial (SELECT). JAMA Oncol 2016; 1:342-9. [PMID: 26181184 DOI: 10.1001/jamaoncol.2015.0513] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
IMPORTANCE African American men have the highest rates of prostate cancer incidence and mortality in the United States. Understanding underlying reasons for this disparity could identify preventive interventions important to African American men. OBJECTIVE To determine whether the association of obesity with prostate cancer risk differs between African American and non-Hispanic white men and whether obesity modifies the excess risk associated with African American race. DESIGN, SETTING, AND PARTICIPANTS Prospective study of 3398 African American and 22,673 non-Hispanic white men who participated in the Selenium and Vitamin E Cancer Prevention Trial (2001-2011) with present analyses completed in 2014. MAIN OUTCOMES AND MEASURES Total, low-grade (Gleason score <7), and high-grade (Gleason score ≥7) prostate cancer incidence. RESULTS With a median (interquartile range) follow-up of 5.6 (1.8) years, there were 270, 148, and 88 cases of total, low-, and high-grade prostate cancers among African American men and a corresponding 1453, 898, and 441 cases in non-Hispanic white men, respectively. Although not associated with risk among non-Hispanic white men, BMI was positively associated with an increase in risk among African American men (BMI, <25 vs ≥35: hazard ratio [HR], 1.49 [95% CI, 0.95, 2.34]; P for trend = .03). Consequently, the risk associated with African American race increased from 28% (HR, 1.28 [95% CI, 0.91-1.80]) among men with BMI less than 25 to 103% (HR, 2.03 [95% CI, 1.38-2.98]) among African American men with BMI at least 35 (P for trend = .03). Body mass index was inversely associated with low-grade prostate cancer risk within non-Hispanic white men (BMI, <25 vs ≥35: HR, 0.80 [95% CI, 0.58-1.09]; P for trend = .02) but positively associated with risk within African American men (BMI, <25 vs ≥35: HR, 2.22 [95% CI, 1.17-4.21]; P for trend = .05). Body mass index was positively associated with risk of high-grade prostate cancer in both non-Hispanic white men (BMI, <25 vs ≥35: HR, 1.33 [95% CI, 0.90-1.97]; P for trend = .01) and African American men, although the increase may be larger within African American men, albeit the racial interaction was not statistically significant (BMI, <25 vs ≥35: HR, 1.81 [95% CI, 0.79-4.11]; P for trend = .02). CONCLUSIONS AND RELEVANCE Obesity is more strongly associated with increased prostate cancer risk among African American than non-Hispanic white men and reducing obesity among African American men could reduce the racial disparity in cancer incidence. Additional research is needed to elucidate the mechanisms underlying the differential effects of obesity in African American and non-Hispanic white men.
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Affiliation(s)
- Wendy E Barrington
- Department of Psychosocial and Community Health, University of Washington, Seattle2Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle3Department of Epidemiology, University of Washington, Seattle
| | - Jeannette M Schenk
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle
| | - Ruth Etzioni
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle3Department of Epidemiology, University of Washington, Seattle
| | - Kathryn B Arnold
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle
| | - Marian L Neuhouser
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle
| | - Ian M Thompson
- Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio
| | - M Scott Lucia
- University of Colorado Denver School of Medicine, Aurora, Colorado
| | - Alan R Kristal
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle3Department of Epidemiology, University of Washington, Seattle
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Schenk JM, Till C, Hsing AW, Stanczyk FZ, Gong Z, Neuhouser ML, Reichardt JK, Hoque AM, Figg WD, Goodman PJ, Tangen CM, Thompson IM. Serum androgens and prostate cancer risk: results from the placebo arm of the Prostate Cancer Prevention Trial. Cancer Causes Control 2015; 27:175-82. [PMID: 26589415 DOI: 10.1007/s10552-015-0695-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Accepted: 10/31/2015] [Indexed: 10/22/2022]
Abstract
BACKGROUND Compelling and long-standing data suggest that androgens play an important role in the development of both normal prostate epithelium and prostate cancer. Although testosterone administration can induce prostate cancer (PCA) in laboratory animals, serum-based epidemiologic studies examining androgens in humans have not consistently supported a role for androgens in prostate carcinogenesis. We examined whether pre-diagnostic serum androgens were associated with PCA risk in the placebo arm of the Prostate Cancer Prevention Trial. METHODS In this nested case-control study, cases (n = 1,032) were primarily local-stage, biopsy-detected cancers, and controls (n = 1,025) were biopsy-confirmed to be PCA-free. Pre-diagnostic serum androgens (total testosterone, 3α-androstanediol glucuronide, free testosterone), estrogen-to-testosterone ratio, and sex hormone-binding globulin (SHBG) concentrations were measured in pooled (baseline and year 3) blood samples. RESULTS We found no significant associations between serum androgens, estrogen-to-testosterone ratios, or SHBG and risk of total, low (Gleason <7) or high-grade (Gleason 7-10) PCA. CONCLUSION Much remains to be learned about the role of androgens in prostate carcinogenesis. Further research is needed to evaluate the role of androgens, timing of exposure, genetic modulators of androgen metabolism, or environmental exposures that may affect androgen influence on prostate carcinogenesis.
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Affiliation(s)
- Jeannette M Schenk
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Cathee Till
- Cancer Prevention Program, SWOG, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Ann W Hsing
- Cancer Prevention Institute of California, Fremont, CA, USA.
| | - Frank Z Stanczyk
- Department of Obstetrics/Gynecology, University of Southern California, Los Angeles, CA, USA.
| | - Zhihong Gong
- Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA.
| | - Marian L Neuhouser
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Juergen K Reichardt
- Division of Tropical Health and Medicine, James Cook University, Townsville, QLD, Australia. .,YachayTech University, San Miguel de Urcuquí, Eduador.
| | - Ashraful M Hoque
- Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - William D Figg
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA.
| | - Phyllis J Goodman
- Cancer Prevention Program, SWOG, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Catherine M Tangen
- Cancer Prevention Program, SWOG, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Ian M Thompson
- Cancer Therapy and Research Center, University of Texas Health Sciences Center San Antonio, San Antonio, TX, USA.
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Key TJ, Appleby PN, Travis RC, Albanes D, Alberg AJ, Barricarte A, Black A, Boeing H, Bueno-de-Mesquita HB, Chan JM, Chen C, Cook MB, Donovan JL, Galan P, Gilbert R, Giles GG, Giovannucci E, Goodman GE, Goodman PJ, Gunter MJ, Hamdy FC, Heliövaara M, Helzlsouer KJ, Henderson BE, Hercberg S, Hoffman-Bolton J, Hoover RN, Johansson M, Khaw KT, King IB, Knekt P, Kolonel LN, Le Marchand L, Männistö S, Martin RM, Meyer HE, Mondul AM, Moy KA, Neal DE, Neuhouser ML, Palli D, Platz EA, Pouchieu C, Rissanen H, Schenk JM, Severi G, Stampfer MJ, Tjønneland A, Touvier M, Trichopoulou A, Weinstein SJ, Ziegler RG, Zhou CK, Allen NE. Carotenoids, retinol, tocopherols, and prostate cancer risk: pooled analysis of 15 studies. Am J Clin Nutr 2015; 102:1142-57. [PMID: 26447150 PMCID: PMC4625592 DOI: 10.3945/ajcn.115.114306] [Citation(s) in RCA: 88] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Accepted: 09/01/2015] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Individual studies have suggested that circulating carotenoids, retinol, or tocopherols may be associated with prostate cancer risk, but the studies have not been large enough to provide precise estimates of associations, particularly by stage and grade of disease. OBJECTIVE The objective of this study was to conduct a pooled analysis of the associations of the concentrations of 7 carotenoids, retinol, α-tocopherol, and γ-tocopherol with risk of prostate cancer and to describe whether any associations differ by stage or grade of the disease or other factors. DESIGN Principal investigators of prospective studies provided individual participant data for prostate cancer cases and controls. Risk by study-specific fifths of each biomarker was estimated by using multivariable-adjusted conditional logistic regression in matched case-control sets. RESULTS Data were available for up to 11,239 cases (including 1654 advanced stage and 1741 aggressive) and 18,541 controls from 15 studies. Lycopene was not associated with overall risk of prostate cancer, but there was statistically significant heterogeneity by stage of disease, and the OR for aggressive disease for the highest compared with the lowest fifth of lycopene was 0.65 (95% CI: 0.46, 0.91; P-trend = 0.032). No other carotenoid was significantly associated with overall risk of prostate cancer or with risk of advanced-stage or aggressive disease. For retinol, the OR for the highest compared with the lowest fifth was 1.13 (95% CI: 1.04, 1.22; P-trend = 0.015). For α-tocopherol, the OR for the highest compared with the lowest fifth was 0.86 (95% CI: 0.78, 0.94; P-trend < 0.001), with significant heterogeneity by stage of disease; the OR for aggressive prostate cancer was 0.74 (95% CI: 0.59, 0.92; P-trend = 0.001). γ-Tocopherol was not associated with risk. CONCLUSIONS Overall prostate cancer risk was positively associated with retinol and inversely associated with α-tocopherol, and risk of aggressive prostate cancer was inversely associated with lycopene and α-tocopherol. Whether these associations reflect causal relations is unclear.
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Affiliation(s)
- Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health,
| | - Paul N Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD
| | - Anthony J Alberg
- Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD; Hollings Cancer Center, Medical University of South Carolina, Charleston, SC
| | - Aurelio Barricarte
- Navarre Public Health Institute, Pamplona, Spain, and Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública), Spain
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - H Bas Bueno-de-Mesquita
- National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands; Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, Netherlands; School of Public Health, Imperial College, London, United Kingdom
| | - June M Chan
- Departments of Epidemiology & Biostatistics and Urology, University of California, San Francisco, San Francisco, CA
| | - Chu Chen
- Public Health Sciences Division, Program in Epidemiology
| | - Michael B Cook
- Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD
| | - Jenny L Donovan
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Pilar Galan
- Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team (Nutritional Epidemiology Research Team), Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France
| | - Rebecca Gilbert
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Graham G Giles
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
| | - Edward Giovannucci
- Departments of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Gary E Goodman
- Departments of Epidemiology and Environmental Health, University of Washington, Seattle, WA
| | | | - Marc J Gunter
- School of Public Health, Imperial College, London, United Kingdom
| | | | | | | | - Brian E Henderson
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Serge Hercberg
- Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team (Nutritional Epidemiology Research Team), Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France
| | - Judy Hoffman-Bolton
- George W Comstock Center for Public Health Research and Prevention, Hagerstown, MD
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD
| | - Mattias Johansson
- International Agency for Research on Cancer, Lyon, France; Department for Biobank Research, Umeå University, Umeå, Sweden
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care and
| | - Irena B King
- Public Health Sciences Core Laboratories, Department of Internal Medicine, University of New Mexico, Albuquerque, NM
| | - Paul Knekt
- National Institute for Health and Welfare, Helsinki, Finland
| | | | | | - Satu Männistö
- National Institute for Health and Welfare, Helsinki, Finland
| | - Richard M Martin
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom; Medical Research Council/University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; National Institute for Health Research, Bristol Biomedical Research Unit in Nutrition, Bristol, United Kingdom
| | - Haakon E Meyer
- Department of Community Medicine, Faculty of Medicine, University of Oslo and Division of Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - Alison M Mondul
- Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD
| | - Kristin A Moy
- Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD
| | - David E Neal
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | | | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute-ISPO, Florence, Italy
| | - Elizabeth A Platz
- Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Camille Pouchieu
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
| | - Harri Rissanen
- National Institute for Health and Welfare, Helsinki, Finland
| | - Jeannette M Schenk
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Gianluca Severi
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
| | - Meir J Stampfer
- Departments of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Anne Tjønneland
- Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
| | - Mathilde Touvier
- Sorbonne Paris Cité Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team (Nutritional Epidemiology Research Team), Inserm U1153, Inra U1125, Cnam, University Paris 13, University Paris 5, University Paris 7, Bobigny, France
| | - Antonia Trichopoulou
- Hellenic Health Foundation and Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece and
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD
| | - Cindy Ke Zhou
- Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Bethesda, MD
| | - Naomi E Allen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
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Patel DP, Schenk JM, Darke A, Myers JB, Brant WO, Hotaling JM. Non-steroidal anti-inflammatory drug (NSAID) use is not associated with erectile dysfunction risk: results from the Prostate Cancer Prevention Trial. BJU Int 2015; 117:500-6. [PMID: 26305866 DOI: 10.1111/bju.13264] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To evaluate the associations of non-steroidal anti-inflammatory drug (NSAID) use with risk of erectile dysfunction (ED), considering the indications for NSAID use. PATIENTS AND METHODS We analysed data from 4 726 men in the placebo arm of the Prostate Cancer Prevention Trial (PCPT) without evidence of ED at baseline. Incident ED was defined as mild/moderate (decrease in normal function) or severe (absence of function). Proportional hazards models were used to estimate the covariate-adjusted associations of NSAID-related medical conditions and time-dependent NSAID use with ED risk. RESULTS Arthritis (hazard ratio [HR] 1.56), chronic musculoskeletal pain (HR 1.35), general musculoskeletal complaints (HR 1.36), headaches (HR 1.44), sciatica (HR 1.50) and atherosclerotic disease (HR 1.60) were all significantly associated with an increased risk of mild/moderate ED, while only general musculoskeletal complaints (HR 1.22), headaches (HR 1.47) and atherosclerotic disease (HR 1.60) were associated with an increased risk of severe ED. Non-aspirin NSAID use was associated with an increased risk of mild/moderate ED (HR 1.16; P = 0.02) and aspirin use was associated with an increased risk of severe ED (HR 1.16; P = 0.03, respectively). The associations of NSAID use with ED risk were attenuated after controlling for indications for NSAID use. CONCLUSIONS The modest associations of NSAID use with ED risk in the present cohort were probably attributable to confounding indications for NSAID use. NSAID use was not associated with ED risk.
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Affiliation(s)
- Darshan P Patel
- Division of Urology, University of Utah, Salt Lake City, UT, USA
| | - Jeannette M Schenk
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Amy Darke
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jeremy B Myers
- Division of Urology, University of Utah, Salt Lake City, UT, USA
| | - William O Brant
- Division of Urology, University of Utah, Salt Lake City, UT, USA
| | - James M Hotaling
- Division of Urology, University of Utah, Salt Lake City, UT, USA
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Schenk JM, Till CA, Tangen CM, Goodman PJ, Song X, Torkko KC, Kristal AR, Peters U, Neuhouser ML. Serum 25-hydroxyvitamin D concentrations and risk of prostate cancer: results from the Prostate Cancer Prevention Trial. Cancer Epidemiol Biomarkers Prev 2015; 23:1484-93. [PMID: 25085836 DOI: 10.1158/1055-9965.epi-13-1340] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Epidemiologic studies have reported inconsistent associations of vitamin D and prostate cancer risk; however, few have adequately controlled for detection bias related to prostate-specific antigen (PSA) screening, and the results of many studies may be affected by occult prostate cancers among controls. METHODS Data for this nested case-control analysis (n = 1,695 cases/1,682 controls) are from the Prostate Cancer Prevention Trial. Baseline serum was analyzed for 25-hydroxyvitamin D [25(OH)D]. The presence or absence of cancer was subsequently determined by prostate biopsy. Polytomous logistic regression models were used to estimate associations of 25(OH)D with risk of total, Gleason 2-6, Gleason 7, and Gleason 8-10 prostate cancer. Results are presented for placebo and finasteride arms separately and combined. RESULTS There were no associations of serum 25(OH)D with total prostate cancer risk. For Gleason 2-6 cancers, results were inconsistent across treatment arms with a suggestion of increased risk in the placebo arm only; however, there was no dose-response relationship. For Gleason 8-10 prostate cancers, 25(OH)D concentrations were associated with a linear decrease in risk among combined treatment arms [quartile 4 vs. 1: OR, 0.55; 95% confidence interval (CI), 0.32-0.94; P(trend) = 0.04]. These findings were somewhat stronger among men ≥65 versus 55-64 years at baseline (quartile 4 vs. 1: OR, 0.40; 95% CI, 0.18-0.88 vs. OR, 0.73; 95% CI, 0.35-1.52, respectively; P(interaction) = 0.52). CONCLUSIONS Higher serum 25(OH)D may modestly increase risk of Gleason 2-6 disease and more substantially reduce risk of Gleason 8-10 prostate cancer. IMPACT Vitamin D may have different effects for different stages of prostate cancers.
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Affiliation(s)
| | | | | | | | - Xiaoling Song
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program
| | - Kathleen C Torkko
- Department of Pathology, University of Colorado Denver, Aurora, Colorado
| | - Alan R Kristal
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program; Department of Epidemiology, University of Washington, Seattle, Washington; and
| | - Ulrike Peters
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program
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Chau CH, Price DK, Till C, Goodman PJ, Chen X, Leach RJ, Johnson-Pais TL, Hsing AW, Hoque A, Tangen CM, Chu L, Parnes HL, Schenk JM, Reichardt JKV, Thompson IM, Figg WD. Finasteride concentrations and prostate cancer risk: results from the Prostate Cancer Prevention Trial. PLoS One 2015; 10:e0126672. [PMID: 25955319 PMCID: PMC4425512 DOI: 10.1371/journal.pone.0126672] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Accepted: 04/06/2015] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE In the Prostate Cancer Prevention Trial (PCPT), finasteride reduced the risk of prostate cancer by 25%, even though high-grade prostate cancer was more common in the finasteride group. However, it remains to be determined whether finasteride concentrations may affect prostate cancer risk. In this study, we examined the association between serum finasteride concentrations and the risk of prostate cancer in the treatment arm of the PCPT and determined factors involved in modifying drug concentrations. METHODS Data for this nested case-control study are from the PCPT. Cases were drawn from men with biopsy-proven prostate cancer and matched controls. Finasteride concentrations were measured using a liquid chromatography-mass spectrometry validated assay. The association of serum finasteride concentrations with prostate cancer risk was determined by logistic regression. We also examine whether polymorphisms in the enzyme target and metabolism genes of finasteride are related to drug concentrations using linear regression. RESULTS AND CONCLUSIONS Among men with detectable finasteride concentrations, there was no association between finasteride concentrations and prostate cancer risk, low-grade or high-grade, when finasteride concentration was analyzed as a continuous variable or categorized by cutoff points. Since there was no concentration-dependent effect on prostate cancer, any exposure to finasteride intake may reduce prostate cancer risk. Of the twenty-seven SNPs assessed in the enzyme target and metabolism pathway, five SNPs in two genes, CYP3A4 (rs2242480; rs4646437; rs4986910), and CYP3A5 (rs15524; rs776746) were significantly associated with modifying finasteride concentrations. These results suggest that finasteride exposure may reduce prostate cancer risk and finasteride concentrations are affected by genetic variations in genes responsible for altering its metabolism pathway. TRIAL REGISTRATION ClinicalTrials.gov NCT00288106.
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Affiliation(s)
- Cindy H. Chau
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Douglas K. Price
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Cathee Till
- Swog Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Phyllis J. Goodman
- Swog Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Xiaohong Chen
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Robin J. Leach
- Department of Urology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America
| | - Teresa L. Johnson-Pais
- Department of Urology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America
| | - Ann W. Hsing
- Cancer Prevention Institute of California, Fremont, California, Stanford Cancer Institute, Palo Alto, California, United States of America
| | - Ashraful Hoque
- Department of Clinical Cancer Prevention, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Catherine M. Tangen
- Swog Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Lisa Chu
- Cancer Prevention Institute of California, Fremont, California, Stanford Cancer Institute, Palo Alto, California, United States of America
| | - Howard L. Parnes
- Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Jeannette M. Schenk
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Juergen K. V. Reichardt
- School of Pharmacy and Molecular Sciences, James Cook University, Townsville, Queensland, Australia
| | - Ian M. Thompson
- Department of Urology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America
| | - William D. Figg
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, United States of America
- * E-mail:
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Nash SH, Schenk JM, Kristal AR, Goodman PJ, Lucia MS, Parnes HL, Thompson IM, Lippman SM, Song X, Gurel B, De Marzo A, Platz EA. Association between Serum Phospholipid Fatty Acids and Intraprostatic Inflammation in the Placebo Arm of the Prostate Cancer Prevention Trial. Cancer Prev Res (Phila) 2015; 8:590-6. [PMID: 25926387 DOI: 10.1158/1940-6207.capr-14-0398] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2014] [Accepted: 04/06/2015] [Indexed: 01/01/2023]
Abstract
Inflammation may play an etiologic role in prostate cancer. Several dietary factors influence inflammation; studies have shown that long-chain n-3 polyunsaturated fatty acids are anti-inflammatory, whereas n-6 and trans fatty acids are proinflammatory. We evaluated whether serum phospholipid n-3, n-6, and trans fatty acids were associated with intraprostatic inflammation, separately in 191 prostate cancer cases and 247 controls from the placebo arm of the Prostate Cancer Prevention Trial (PCPT). Men without a prostate cancer diagnosis underwent prostate biopsy at trial end, and benign prostate tissue inflammation was evaluated in approximately three biopsy cores per man; this was expressed as no, some, or all cores with inflammation. In controls, serum eicosapentaenoic acid [OR of all cores with inflammation versus none (95% CI), 0.35 (0.14-0.89)] and docosahexaenoic acid [OR (95% CI), 0.42 (0.17-1.02)] were inversely associated with, whereas linoleic acid [OR (95% CI), 3.85 (1.41-10.55)] was positively associated with intraprostatic inflammation. Serum trans fatty acids were not associated with intraprostatic inflammation. No significant associations were observed in cases; however, we could not rule out a positive association with linoleic acid and an inverse association with arachidonic acid. Thus, in the PCPT, we found that serum n-3 fatty acids were inversely, n-6 fatty acids were positively, and trans fatty acids were not associated with intraprostatic inflammation in controls. Although, in theory, inflammation could mediate associations of serum fatty acids with prostate cancer risk, our findings cannot explain the epidemiologic associations observed with n-3 and n-6 fatty acids.
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Affiliation(s)
- Sarah H Nash
- Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland
| | - Jeannette M Schenk
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Alan R Kristal
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | | | - M Scott Lucia
- Department of Pathology, School of Medicine, University of Colorado Anschutz Medical Campus, Denver, Colorado
| | - Howard L Parnes
- Prostate and Urologic Cancer Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland
| | - Ian M Thompson
- Department of Urology, School of Medicine, University of Texas Health Science Center, San Antonio, Texas
| | - Scott M Lippman
- Office of the Director, Moores Cancer Center, University of California at San Diego, San Diego, California
| | - Xiaoling Song
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Bora Gurel
- Department of Pathology, Kocaeli University School of Medicine, Kocaeli, Turkey
| | - Angelo De Marzo
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland. Department of Urology, Johns Hopkins University School of Medicine, Baltimore, Maryland. James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland. Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Elizabeth A Platz
- Department of Urology, Johns Hopkins University School of Medicine, Baltimore, Maryland. James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland. Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
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Barrington WE, Schenk JM, Etzioni R, Arnold KB, Neuhouser ML, Thompson IM, Lucia MS, Kristal AR. Associations of Obesity with Prostate Cancer Risk Differ Between U.S. African-American and Non-Hispanic White Men: Results from the Selenium and Vitamin E Cancer Prevention Trial. Cancer Epidemiol Biomarkers Prev 2015. [DOI: 10.1158/1055-9965.epi-15-0117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
African-American (AA) men have the highest rates of prostate cancer incidence and mortality in the US. Understanding underlying reasons for this disparity could identify preventive interventions important to AA men. PURPOSE: To determine whether the association of obesity with prostate cancer risk differs between AA and non-Hispanic white (NHW) men and whether obesity modifies the excess risk associated with AA race. METHODS: This is a prospective study among 3398 AA and 22673 NHW men who participated in the Selenium and Vitamin E Cancer Prevention Trial (2001–2011). Using Cox regression, we estimated hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) associated with AA and NHW race and body mass index (BMI) [kg/m2] on total, low- (Gleason score <7), and high-grade (Gleason score ≥7) prostate cancer incidence while adjusting for relevant covariates. RESULTS: There were 270, 148, and 88 cases of total, low-, and high-grade prostate cancers among AA men and a corresponding 1453, 898, and 441 cases in NHW men (median follow-up of 5.6 years). BMI was not associated with risk of total cancer among NHW men, but was positively associated with risk among AA men (BMI < 25 kg/m2 vs. ≥35 kg/m2, HR = 1.49; 95% CI, 0.95–2.34; Ptrend = 0.03). Consequently, the risk associated with AA race increased from 28% (HR = 1.28; 95% CI, 0.91–1.80) among men with BMI < 25 kg/m2 to 103% (HR = 2.03; 95% CI, 1.38–2.98) among AA men with BMI≥35 kg/m2 (Ptrend = 0.03). BMI was inversely associated with low-grade prostate cancer risk among NHW men (BMI < 25 kg/m2 vs. ≥35 kg/m2, HR = 0.80; 95% CI, 0.58–1.09; Ptrend = 0.02), but positively associated with risk among AA men (BMI < 25 kg/m2 vs. ≥35 kg/m2, HR = 1.77; 95% CI, 1.14–2.76; Ptrend = 0.05). BMI was positively associated with risk of high-grade prostate cancer in both NHW (BMI < 25 kg/m2 vs. ≥35 kg/m2, HR = 1.33; 95% CI, 0.90–1.97; Ptrend = 0.01) and AA men (BMI < 25 kg/m2 vs. ≥35 kg/m2, HR = 1.81; 95% CI, 0.79–4.11; Ptrend = 0.02), but associations were not significantly different. CONCLUSION: Obesity is more strongly associated with increased prostate cancer risk among AA than NHW men and reducing obesity among AA men could reduce the racial disparity in cancer incidence. Research is needed to test mechanisms underpinning these associations.
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Kristal AR, Till C, Song X, Tangen CM, Goodman PJ, Neuhauser ML, Schenk JM, Thompson IM, Meyskens FL, Goodman GE, Minasian LM, Parnes HL, Klein EA. Plasma vitamin D and prostate cancer risk: results from the Selenium and Vitamin E Cancer Prevention Trial. Cancer Epidemiol Biomarkers Prev 2014; 23:1494-504. [PMID: 24732629 DOI: 10.1158/1055-9965.epi-14-0115] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND In vitro, animal, and ecological studies suggest that inadequate vitamin D intake could increase prostate cancer risk, but results of biomarker-based longitudinal studies are inconsistent. METHODS Data for this case (n = 1,731) and cohort (n = 3,203) analysis are from the Selenium and Vitamin E Cancer Prevention Trial. Cox proportional hazard models were used to test whether baseline plasma vitamin D (25-hydroxy) concentration, adjusted for season of blood collection, was associated with the risk of total and Gleason score 2-6, 7-10, and 8-10 prostate cancer. RESULTS There were U-shaped associations of vitamin D with total cancer risk: compared with the first quintile, HRs were 0.83 [95% confidence interval (CI), 0.66-1.03; P = 0.092], 0.74 (95% CI, 0.59-0.92; P = 0.008), 0.86 (95% CI, 0.69-1.07; P = 0.181), and 0.98 (95% CI, 0.78-1.21; P = 0.823), for the second through fifth quintiles, respectively. For Gleason 7-10 cancer, corresponding HRs were 0.63 (95% CI, 0.45-0.90; P = 0.010), 0.66 (95% CI, 0.47-0.92; P = 0.016), 0.79 (95% CI, 0.56-1.10; P = 0.165), and 0.88 (95% CI, 0.63-1.22; P = 0.436). Among African American men (n = 250 cases), higher vitamin D was associated with reduced risk of Gleason 7-10 cancer only: in the a posteriori contrast of quintiles 1-2 versus 3-5, the HR was 0.55 (95% CI, 0.31-0.97; P = 0.037), with no evidence of dose-response or a U-shaped association. CONCLUSIONS Both low and high vitamin D concentrations were associated with increased risk of prostate cancer, and more strongly for high-grade disease. IMPACT The optimal range of circulating vitamin D for prostate cancer prevention may be narrow. Supplementation of men with adequate levels may be harmful. Cancer Epidemiol Biomarkers Prev; 23(8); 1494-504. ©2014 AACR.
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Affiliation(s)
- Alan R Kristal
- Cancer Prevention Program; Departments of Epidemiology and
| | - Cathee Till
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center
| | | | - Catherine M Tangen
- Cancer Prevention Program; SWOG Statistical Center, Fred Hutchinson Cancer Research Center
| | | | | | | | - Ian M Thompson
- Department of Urology, University of Texas-San Antonio Health Science Center, San Antonio, Texas
| | - Frank L Meyskens
- Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, California
| | - Gary E Goodman
- Departments of Epidemiology and Environmental Health, University of Washington, Seattle, Washington
| | - Lori M Minasian
- Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; and
| | - Howard L Parnes
- Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; and
| | - Eric A Klein
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio
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Schenk JM, Hunter-Merrill R, Zheng Y, Etzioni R, Gulati R, Tangen C, Thompson IM, Kristal AR. Should modest elevations in prostate-specific antigen, International Prostate Symptom Score, or their rates of increase over time be used as surrogate measures of incident benign prostatic hyperplasia? Am J Epidemiol 2013; 178:741-51. [PMID: 23813705 DOI: 10.1093/aje/kwt044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Although surrogate measures of benign prostatic hyperplasia (BPH) are often used in epidemiologic studies, their performance characteristics are unknown. Using data from the Prostate Cancer Prevention Trial (n = 5,986), we evaluated prostate-specific antigen (PSA), International Prostate Symptom Score (IPSS), and their rates of change as predictors of incident BPH. BPH (n = 842 cases) was defined as medical or surgical treatment or at least 2 IPSS of 15 or higher. Proportional hazards models were used to measure the associations of baseline PSA, IPSS, and their velocities over 2 years with BPH risk, and time-dependent receiver-operating characteristic curves were used to measure their discriminatory performance. Unit increases in PSA, IPSS, and IPSS velocity were associated with 34%, 35%, and 29% (all P < 0.001) increases in BPH risk, respectively. The areas under the receiver-operating characteristic curves were significantly greater than 0.5 for PSA (0.58, 95% confidence interval (CI): 0.56, 0.60), IPSS (0.77, 95% CI: 0.75, 0.78), and IPSS velocity (0.63, 95% CI: 0.61, 0.65); however there were no cut points at which sensitivity and specificity were both above 75%. We concluded that moderate elevations in PSA, IPSS, or their rates of change should not be used as surrogate measures of incident BPH.
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Affiliation(s)
- Jeannette M Schenk
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, Seattle, WA 98109-1024, USA.
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Parsons JK, Schenk JM, Arnold KB, Messer K, Till C, Thompson IM, Kristal AR. Finasteride reduces the risk of incident clinical benign prostatic hyperplasia. Eur Urol 2012; 62:234-41. [PMID: 22459892 PMCID: PMC4059403 DOI: 10.1016/j.eururo.2012.03.007] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2012] [Accepted: 03/05/2012] [Indexed: 10/28/2022]
Abstract
BACKGROUND Despite the high prevalence of clinical benign prostatic hyperplasia (BPH) among older men, there remains a notable absence of studies focused on BPH prevention. OBJECTIVE To determine if finasteride prevents incident clinical BPH in healthy older men. DESIGN, SETTING, AND PARTICIPANTS Data for this study are from the Prostate Cancer Prevention Trial. After excluding those with a history of BPH diagnosis or treatment, or an International Prostate Symptom Score (IPSS) ≥ 8 at study entry, 9253 men were available for analysis. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS The primary outcome was incident clinical BPH, defined as the initiation of medical treatment, surgery, or sustained, clinically significant urinary symptoms (IPSS >14). Finasteride efficacy was estimated using Cox proportional regression models to generate hazards ratios (HRs). RESULTS AND LIMITATIONS Mean length of follow-up was 5.3 yr. The rate of clinical BPH was 19 per 1000 person-years in the placebo arm and 11 per 1000 person-years in the finasteride arm (p<0.001). In a covariate-adjusted model, finasteride reduced the risk of incident clinical BPH by 40% (HR: 0.60; 95% confidence interval, 0.51-0.69; p<0.001). The effect of finasteride on incident clinical BPH was attenuated in men with a body mass index ≥ 30 kg/m(2) (p(interaction) = 0.04) but otherwise did not differ significantly by physical activity, age, race, current diabetes, or current smoking. The post hoc nature of the analysis is a potential study limitation. CONCLUSIONS Finasteride substantially reduces the risk of incident clinical BPH in healthy older men. These results should be considered in formulating recommendations for the use of finasteride to prevent prostate diseases in asymptomatic older men.
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Affiliation(s)
- J Kellogg Parsons
- Division of Urologic Oncology, Moores Comprehensive Cancer Center and Section of Urology, San Diego Veterans Affairs Medical Center, University of California, San Diego, La Jolla, CA 92093-0987, USA.
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Schenk JM, Calip GS, Tangen CM, Goodman P, Parsons JK, Thompson IM, Kristal AR. Indications for and use of nonsteroidal antiinflammatory drugs and the risk of incident, symptomatic benign prostatic hyperplasia: results from the prostate cancer prevention trial. Am J Epidemiol 2012; 176:156-63. [PMID: 22759721 DOI: 10.1093/aje/kwr524] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The authors conducted a cohort study of nonsteroidal antiinflammatory drug (NSAID) use and risk of symptomatic benign prostatic hyperplasia (BPH), using data from 4,735 men without BPH at baseline in the placebo arm of the Prostate Cancer Prevention Trial (1993-2003). Incident BPH (n = 471) was defined as medical or surgical treatment or at least 2 International Prostate Symptom Score (I-PSS) values greater than or equal to 15. Proportional hazards models using time-dependent exposure for NSAID use were employed to estimate covariate-adjusted associations of NSAID-related medical conditions and NSAID use with BPH risk. Arthritis, other inflammation-related musculoskeletal conditions, and headaches were associated with increased BPH risk (hazard ratio (HR) = 1.77 (95% confidence interval (CI): 1.37, 2.29), HR = 1.57 (95% CI: 1.14, 2.17), and HR = 1.40 (95% CI: 1.09, 1.80), respectively). Use of any NSAID, use of aspirin, and use of nonaspirin NSAIDs were associated with significant increases in BPH risk (HR = 1.21 (95% CI: 1.01, 1.46), HR = 1.20 (95% CI: 1.00, 1.45), and HR = 1.34 (95% CI: 1.07, 1.69), respectively). Control for indications for NSAID use, including baseline I-PSS, attenuated the associations slightly, but all became nonsignificant. Among men with no indications for NSAID use, the hazard ratio for any NSAID use was 1.06 (95% CI: 0.82, 1.38). The modest associations of NSAID use with BPH risk in this cohort were probably due to confounding by indication, and NSAID use was not associated with BPH risk.
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Affiliation(s)
- Jeannette M Schenk
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109-1024, USA.
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Schenk JM, Kristal AR, Arnold KB, Tangen CM, Neuhouser ML, Lin DW, White E, Thompson IM. Association of symptomatic benign prostatic hyperplasia and prostate cancer: results from the prostate cancer prevention trial. Am J Epidemiol 2011; 173:1419-28. [PMID: 21540324 DOI: 10.1093/aje/kwq493] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
This study examined the association between symptomatic benign prostatic hyperplasia (BPH) and prostate cancer risk in 5,068 placebo-arm participants enrolled in the Prostate Cancer Prevention Trial (1993-2003). These data include 1,225 men whose cancer was detected during the 7-year trial--556 detected for cause (following abnormal prostate-specific antigen or digital rectal examination) and 669 detected not for cause (without indication), as well as 3,843 men who had biopsy-proven absence of prostate cancer at the trial end. Symptomatic BPH was assessed hierarchically as self-report of surgical or medical treatment, moderately severe symptoms (International Prostate Symptom Score >14), or physician diagnosis, and analyses were completed by BPH status at baseline (prevalent) or BPH prior to cancer diagnosis or study end (prevalent plus incident). Controlled for age, race, and body mass index, neither prevalent (risk ratio = 1.03, 95% confidence interval: 0.92, 1.14) nor prevalent plus incident (risk ratio = 0.96, 95% confidence interval: 0.87, 1.06) symptomatic BPH was associated with prostate cancer risk. This lack of association was consistent across subgroups defined by type of BPH-defining event (treatment, symptoms, or physician diagnosis), prompt for prostate cancer diagnosis, and prostate cancer grade. This study provides the strongest evidence to date that BPH does not increase the risk of prostate cancer.
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Affiliation(s)
- Jeannette M Schenk
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109-1024, USA.
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Beasley JM, Schenk JM, Ludman E, Lampe JW, Reed SD, Grothaus L, Newton KM. Brief telephone intervention increases soy intake in peri- and postmenopausal US women: the Herbal Alternatives Trial (HALT). Journal of the American Dietetic Association 2010; 110:1189-97. [PMID: 20656094 PMCID: PMC2936816 DOI: 10.1016/j.jada.2010.05.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2008] [Accepted: 03/11/2010] [Indexed: 10/19/2022]
Abstract
OBJECTIVE Effective dietary intervention strategies that can be widely disseminated and have the potential for sustainable dietary modifications are needed. The purpose of this study was to describe and evaluate the effectiveness of a telephone-based soy intervention. DESIGN A randomized controlled trial comparing self-reported intake and serum measures of soy during a 1-year dietary soy (Soy) to fruit and vegetable (Placebo) intervention conducted in two of five arms from the Herbal Alternatives Trial between May 2001 and September 2004. SUBJECTS/SETTING One hundred sixty-three peri- and postmenopausal women (mean age=52 years) consuming self-selected diets in the Pacific Northwest, United States. INTERVENTION Five telephone contacts with a registered dietitian during a 12-month intervention with the goal to increase soy food consumption to two servings daily. MAIN OUTCOME MEASURES Change from baseline in self-reported soy servings and serum isoflavone (daidzein and genistein) concentrations were estimated using analysis of variance and generalized estimating equations. Proportions of participants achieving the intervention goal were compared using chi(2) tests. RESULTS Ninety-four percent (n=74) of participants in the Soy arm and 89% (n=75) in the Placebo arm completed the trial, and slightly more than one third (n=27) received five phone contacts. Mean (+/-standard deviation) intakes of soy were similar for the Soy and Placebo arms at baseline (0.6+/-1.0 vs 0.4+/-0.8 servings/day; P>0.05). At 12-month follow-up visit, mean+/-standard deviation servings of soy per day were 1.6+/-1.4 for the Soy intervention compared to 0.5+/-0.9 within the Placebo arm (P<0.001). There were concomitant increases in serum isoflavones at 3 and 6 months from baseline in the Soy arm only, with approximately twofold increases in both daidzein (mean=66.4 nmol/L, 95% confidence interval [CI]: 39.0 to 93.9 [mean 16.9 ng/mL, 95% CI: 9.9 to 23.8]) and genistein (mean=100.4 nmol/L, 95% CI: 60.9 to 139.9 [mean 27.1 ng/mL, 95% CI: 16.5 to 37.8]) concentrations. Mean weight changed by <1 kg during the 12-month period in each group and physical activity remained stable, suggesting that participants incorporated soy foods into their diet by substituting for non soy foods rather than adding them to their diet. CONCLUSIONS A brief telephone-based intervention with a focused message delivered by a registered dietitian is a feasible approach for encouraging targeted dietary changes, such as an increase in soy intake among peri- and postmenopausal women.
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Affiliation(s)
- Jeannette M Beasley
- Fred Hutchinson Cancer Research Center, 1100 Fairview Ave, N M3-A410, PO Box 19024, Seattle, WA 98109-1024, USA.
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Kristal AR, Price DK, Till C, Schenk JM, Neuhouser ML, Ockers S, Lin DW, Thompson IM, Figg WD. Androgen receptor CAG repeat length is not associated with the risk of incident symptomatic benign prostatic hyperplasia: results from the Prostate Cancer Prevention Trial. Prostate 2010; 70:584-90. [PMID: 19938041 PMCID: PMC3904425 DOI: 10.1002/pros.21092] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND To examine whether androgen receptor (AR) CAG repeat length was associated with the risk of incident benign prostatic hyperplasia (BPH). METHODS A nested case-control study of 416 BPH cases and 527 controls drawn from Prostate Cancer Prevention Trial placebo-arm participants who were free of BPH at baseline. BPH was assessed over 7 years and was defined as receipt of medical or surgical treatment, two scores > 14 on the International Prostate Symptom Score (IPSS), or two increases in IPSS > or = 5 with at least one score > or = 12. RESULTS Compared to men with AR repeat length < or = 19, the covariate-adjusted odds ratios [95% CI] were 1.07 [0.73, 1.57] and 0.90 [0.55, 1.45]) for repeat length 20-24 and > or =25, respectively. There was a weak association of AR repeat length with baseline serum testosterone (T) (Spearman r = 0.09, p < 0.02); however, control for or stratification by T did not change study results. Further, results did not differ when stratified by body mass index or baseline concentration of 3alpha-diol glucoronide, and were similar for all BPH definitions. CONCLUSIONS There were no associations of AR CAG repeat length and BPH risk. Knowledge of AR CAG repeat length provides no clinical useful information for the prevention of symptomatic BPH.
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Affiliation(s)
- Alan R Kristal
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, P.O. Box 19024, M4-B402, Seattle, WA 98109-1024
- University of Washington, Department of Epidemiology, 1959 NE Pacific Street, Health Sciences F-262D, Seattle, WA 98195
| | - Douglas K. Price
- National Cancer Institute, Medical Oncology Branch, Bldg 10/Room 5A01, 9000 Rockville Pike, Bethesda, MD 20892
| | - Cathee Till
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, P.O. Box 19024, M4-B402, Seattle, WA 98109-1024
| | - Jeannette M Schenk
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, P.O. Box 19024, M4-B402, Seattle, WA 98109-1024
- University of Washington, Department of Epidemiology, 1959 NE Pacific Street, Health Sciences F-262D, Seattle, WA 98195
| | - Marian L. Neuhouser
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, P.O. Box 19024, M4-B402, Seattle, WA 98109-1024
| | - Sandy Ockers
- National Cancer Institute, Medical Oncology Branch, Bldg 10/Room 5A01, 9000 Rockville Pike, Bethesda, MD 20892
| | - Daniel W. Lin
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, P.O. Box 19024, M4-B402, Seattle, WA 98109-1024
- University of Washington, Department of Urology, 1959 NE Pacific Street, Seattle, WA 98195
| | - Ian M. Thompson
- University of Texas Health Science Center at San Antonio, Department of Urology, 7703 Floyd Curl Drive, San Antonio, TX 78229
| | - William D. Figg
- National Cancer Institute, Medical Oncology Branch, Bldg 10/Room 5A01, 9000 Rockville Pike, Bethesda, MD 20892
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Schenk JM, Kristal AR, Neuhouser ML, Tangen CM, White E, Lin DW, Kratz M, Thompson IM. Biomarkers of systemic inflammation and risk of incident, symptomatic benign prostatic hyperplasia: results from the prostate cancer prevention trial. Am J Epidemiol 2010; 171:571-82. [PMID: 20142396 PMCID: PMC2842217 DOI: 10.1093/aje/kwp406] [Citation(s) in RCA: 84] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2009] [Accepted: 11/12/2009] [Indexed: 12/21/2022] Open
Abstract
The authors conducted a nested case-control study of serum inflammatory markers and risk of symptomatic benign prostatic hyperplasia (BPH), using data from the placebo arm of the Prostate Cancer Prevention Trial (1993-2003). Incident BPH (n = 676) was defined as treatment, report of 2 International Prostate Symptom Score (IPSS) values >14, or 2 increases of > or = 5 from baseline values with at least one value > or = 12. Controls (n = 683) were men who reported no BPH treatment or IPSS values >7 over the 7-year trial. Baseline serum was analyzed for C-reactive protein, tumor necrosis factor alpha (monomer), soluble tumor necrosis factor receptors I and II (sTNF-RI and sTNF-RII), interleukin 6, and interferon gamma. Controlled for age and race, a high C-reactive protein concentration was associated with increased BPH risk (for quartile 4 vs. quartile 1, odds ratio (OR) = 1.40, 95% confidence interval (CI): 1.04, 1.88); this was attenuated after control for body mass index (OR = 1.30, 95% CI: 0.95, 1.75). Low sTNF-RII and high interleukin 6 concentrations were associated with increased BPH risk (for quartile 4 vs. quartile 1, sTNF-RII: OR = 0.61, 95% CI: 0.46, 0.82; interleukin 6: OR = 1.79, 95% CI: 1.32, 2.42); these associations were only in men aged <65 years. Results suggest that systemic inflammation or lower levels of soluble receptors that bind inflammatory cytokines increase BPH risk.
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Affiliation(s)
- Jeannette M Schenk
- Schenk, Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA.
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Schenk JM, Kristal AR, Neuhouser ML, Tangen CM, White E, Lin DW, Thompson IM. Serum adiponectin, C-peptide and leptin and risk of symptomatic benign prostatic hyperplasia: results from the Prostate Cancer Prevention Trial. Prostate 2009; 69:1303-11. [PMID: 19475640 PMCID: PMC2838168 DOI: 10.1002/pros.20974] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Recent epidemiologic studies have identified obesity as a risk factor for benign prostatic hyperplasia (BPH). We examined whether adiponectin, leptin, and C-peptide were associated with incident, symptomatic BPH and whether these factors mediate the relationship between obesity and BPH risk. METHODS Data are from Prostate Cancer Prevention Trial placebo arm participants who were free of BPH at baseline. Incident BPH (n = 698) was defined as treatment, two International Prostate Symptom Score (IPSS) values > 14, or an increase of >or=5 in IPSS from baseline documented on at least two occasions plus at least one score >or=12. Controls (n = 709) were selected from men reporting no BPH treatment or IPSS > 7 during the 7-year trial. Baseline serum was analyzed for adiponectin, C-peptide, and leptin concentrations. RESULTS Neither C-peptide nor leptin was associated with BPH risk. The odds ratio [95% CI] contrasting highest to lowest quartiles of adiponectin was 0.65[0.47, 0.87] P(trend) = 0.004. Findings differed between levels of physical activity: there was a strong inverse association between adiponectin and BPH among moderately/very active men OR = 0.43 [0.29, 0.63], and no association among sedentary/minimally active men OR = 0.92 [0.65, 1.30] P(interaction) = 0.005. Adiponectin concentrations explained only a moderate amount of the relationship between obesity and BPH risk. CONCLUSIONS High adiponectin concentrations were associated with reduced risk of incident, symptomatic BPH. This association was limited to moderately/very active men; suggesting the relationship between obesity and BPH involves a complex interaction between factors affecting glucose uptake and insulin sensitivity. However, adiponectin is likely not the only mechanism through which obesity affects BPH risk.
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Affiliation(s)
- Jeannette M. Schenk
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, P.O. Box 19024, M4-B402, Seattle, WA 98109-1024
- University of Washington, Department of Epidemiology, 1959 NE Pacific Street, Health Sciences F-262D, Seattle, WA 98195
| | - Alan R. Kristal
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, P.O. Box 19024, M4-B402, Seattle, WA 98109-1024
- University of Washington, Department of Epidemiology, 1959 NE Pacific Street, Health Sciences F-262D, Seattle, WA 98195
| | - Marian L. Neuhouser
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, P.O. Box 19024, M4-B402, Seattle, WA 98109-1024
| | - Catherine M. Tangen
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, P.O. Box 19024, M4-B402, Seattle, WA 98109-1024
| | - Emily White
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, P.O. Box 19024, M4-B402, Seattle, WA 98109-1024
- University of Washington, Department of Epidemiology, 1959 NE Pacific Street, Health Sciences F-262D, Seattle, WA 98195
| | - Daniel W. Lin
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, P.O. Box 19024, M4-B402, Seattle, WA 98109-1024
- University of Washington, Department of Urology, 1959 NE Pacific Street, Seattle, WA 98195
| | - Ian M. Thompson
- University of Texas Health Science Center at San Antonio, Department of Urology, 7703 Floyd Curl Drive, San Antonio, TX 78229
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Gong Z, Kristal AR, Schenk JM, Tangen CM, Goodman PJ, Thompson IM. Alcohol consumption, finasteride, and prostate cancer risk: results from the Prostate Cancer Prevention Trial. Cancer 2009; 115:3661-9. [PMID: 19598210 PMCID: PMC2739798 DOI: 10.1002/cncr.24423] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
BACKGROUND Current research is inconclusive regarding the relation between alcohol consumption and prostate cancer risk. In this study, the authors examined the associations of total alcohol, type of alcoholic beverage, and drinking pattern with the risk of total, low-grade, and high-grade prostate cancer. METHODS Data for this study came from the 2129 participants in the Prostate Cancer Prevention Trial (PCPT) who had cancer detected during the 7-year trial and 8791 men who were determined by biopsy to be free of cancer at the trial end. Poisson regression was used to calculate relative risks (RRs) and 95% confidence intervals (95% CIs) for associations of alcohol intake with prostate cancer risk. RESULTS Associations of drinking with high-grade disease did not differ by treatment arm. In combined arms, heavy alcohol consumption (> or =50 g of alcohol daily) and regular heavy drinking (> or =4 drinks daily on > or =5 days per week) were associated with increased risks of high-grade prostate cancer (RR, 2.01 [95% CI, 1.33-3.05] and 2.17 [95% CI, 1.42-3.30], respectively); less heavy drinking was not associated with risk. Associations of drinking with low-grade cancer differed by treatment arm. In the placebo arm, there was no association of drinking with risk of low-grade cancer. In the finasteride arm, drinking > or =50 g of alcohol daily was associated with an increased risk of low-grade disease (RR, 1.89; 95% CI, 1.39-2.56); this finding was because of a 43% reduction in the risk of low-grade cancer attributable to finasteride treatment in men who drank <50 g of alcohol daily and the lack of an effect of finasteride in men who drank > or =50 g of alcohol daily (P(interaction) = .03). CONCLUSIONS Heavy, daily drinking increased the risk of high-grade prostate cancer. Heavy drinking made finasteride ineffective for reducing prostate cancer risk.
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Affiliation(s)
- Zhihong Gong
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94118-1944, USA.
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