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Bever AM, Song M. Early-life exposures and adulthood cancer risk: A life course perspective. J Natl Cancer Inst 2023; 115:4-7. [PMID: 36214630 PMCID: PMC9830471 DOI: 10.1093/jnci/djac193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 09/30/2022] [Indexed: 01/12/2023] Open
Affiliation(s)
- Alaina M Bever
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA, USA
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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2
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Vallières E, Mésidor M, Roy-Gagnon MH, Richard H, Parent MÉ. General and abdominal obesity trajectories across adulthood, and risk of prostate cancer: results from the PROtEuS study, Montreal, Canada. Cancer Causes Control 2021; 32:653-665. [PMID: 33818663 DOI: 10.1007/s10552-021-01419-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 03/16/2021] [Indexed: 12/24/2022]
Abstract
PURPOSE Greater body fatness is a probable cause of advanced prostate cancer (PCa). Body fat distribution and timing of exposure may be relevant. We investigated associations between body size trajectories and PCa incidence in a population-based case-control study in Montreal, Canada. METHODS Cases (n = 1,931), aged ≤ 75 years, were diagnosed with PCa in 2005-2009; 1,994 controls were selected from the electoral list. Interviews were conducted to assess body mass index (BMI) and Stunkard's silhouette at ages 20, 40, 50, 60 years, and before interview. Current waist and hip circumferences were measured, and a predictive model estimated waist circumference in the past. BMI and waist circumference trajectories were determined to identify subgroups. Logistic regression estimated odds ratios (OR) and 95% confidence intervals (CI) for the association between anthropometric indicators and PCa. RESULTS Subjects with a current BMI ≥ 30 kg/m2 had a lower risk of overall PCa (OR 0.71, 95% CI 0.59-0.85). Associations with adult BMI followed similar trends for less and more aggressive tumors, with stronger inverse relationships in early adulthood. Contrastingly, current waist circumference ≥ 102 cm was associated with elevated risk of high-grade PCa (OR 1.33, 95% CI 1.03-1.71). Men with increasing BMI or waist circumference adult trajectories had a lower risk of PCa, especially low-grade, than those in the normal-stable range. This was especially evident among men in the obese-increase group for BMI and waist circumference. CONCLUSION Abdominal obesity increased the risk of aggressive PCa. The inverse relationship between body size trajectories and PCa may reflect PSA hemodilution, lower detection, and/or a true etiological effect.
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Affiliation(s)
- Eric Vallières
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, University of Quebec, 531 Boul. des Prairies, Laval, QC, H7V 1B7, Canada.,School of Public Health, Department of Social and Preventive Medicine, University of Montreal, 7101 avenue du Parc, Montreal, QC, H3N 1X9, Canada
| | - Miceline Mésidor
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, University of Quebec, 531 Boul. des Prairies, Laval, QC, H7V 1B7, Canada.,School of Public Health, Department of Social and Preventive Medicine, University of Montreal, 7101 avenue du Parc, Montreal, QC, H3N 1X9, Canada.,University of Montreal Hospital Research Centre, 900 Saint-Denis, Tour Viger, Pavillon R, Montreal, QC, H2X 0A9, Canada
| | - Marie-Hélène Roy-Gagnon
- School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, ON, K1G 5Z3, Canada
| | - Hugues Richard
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, University of Quebec, 531 Boul. des Prairies, Laval, QC, H7V 1B7, Canada
| | - Marie-Élise Parent
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, University of Quebec, 531 Boul. des Prairies, Laval, QC, H7V 1B7, Canada. .,School of Public Health, Department of Social and Preventive Medicine, University of Montreal, 7101 avenue du Parc, Montreal, QC, H3N 1X9, Canada. .,University of Montreal Hospital Research Centre, 900 Saint-Denis, Tour Viger, Pavillon R, Montreal, QC, H2X 0A9, Canada.
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Aladwani M, Lophatananon A, Robinson F, Rahman A, Ollier W, Kote-Jarai Z, Dearnaley D, Koveela G, Hussain N, Rageevakumar R, Keating D, Osborne A, Dadaev T, Brook M, Eeles R, Muir KR. Relationship of self-reported body size and shape with risk for prostate cancer: A UK case-control study. PLoS One 2020; 15:e0238928. [PMID: 32941451 PMCID: PMC7498010 DOI: 10.1371/journal.pone.0238928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 08/26/2020] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Previous evidence has suggested a relationship between male self-reported body size and the risk of developing prostate cancer. In this UK-wide case-control study, we have explored the possible association of prostate cancer risk with male self-reported body size. We also investigated body shape as a surrogate marker for fat deposition around the body. As obesity and excessive adiposity have been linked with increased risk for developing a number of different cancers, further investigation of self-reported body size and shape and their potential relationship with prostate cancer was considered to be appropriate. OBJECTIVE The study objective was to investigate whether underlying associations exist between prostate cancer risk and male self-reported body size and shape. METHODS Data were collected from a large case-control study of men (1928 cases and 2043 controls) using self-administered questionnaires. Data from self-reported pictograms of perceived body size relating to three decades of life (20's, 30's and 40's) were recorded and analysed, including the pattern of change. The associations of self-identified body shape with prostate cancer risk were also explored. RESULTS Self-reported body size for men in their 20's, 30's and 40's did not appear to be associated with prostate cancer risk. More than half of the subjects reported an increase in self-reported body size throughout these three decades of life. Furthermore, no association was observed between self-reported body size changes and prostate cancer risk. Using 'symmetrical' body shape as a reference group, subjects with an 'apple' shape showed a significant 27% reduction in risk (Odds ratio = 0.73, 95% C.I. 0.57-0.92). CONCLUSIONS Change in self-reported body size throughout early to mid-adulthood in males is not a significant risk factor for the development of prostate cancer. Body shape indicative of body fat distribution suggested that an 'apple' body shape was protective and inversely associated with prostate cancer risk when compared with 'symmetrical' shape. Further studies which investigate prostate cancer risk and possible relationships with genetic factors known to influence body shape may shed further light on any underlying associations.
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Affiliation(s)
- Mohammad Aladwani
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Fredie Robinson
- School of Medicine, University Malaysia Sabah, Sabah, Malaysia
| | - Aneela Rahman
- Shaheed Mohtarma Benazir Bhutto Medical University, Bakrani, Pakistan
| | - William Ollier
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- School of Healthcare Science, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom
| | | | | | | | - Nafisa Hussain
- The Institute of Cancer Research, London, United Kingdom
| | | | - Diana Keating
- The Institute of Cancer Research, London, United Kingdom
| | - Andrea Osborne
- The Institute of Cancer Research, London, United Kingdom
| | - Tokhir Dadaev
- The Institute of Cancer Research, London, United Kingdom
| | - Mark Brook
- The Institute of Cancer Research, London, United Kingdom
| | | | - Rosalind Eeles
- The Institute of Cancer Research, London, United Kingdom
- The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom
| | - Kenneth R. Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
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4
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Harrison S, Tilling K, Turner EL, Martin RM, Lennon R, Lane JA, Donovan JL, Hamdy FC, Neal DE, Bosch JLHR, Jones HE. Systematic review and meta-analysis of the associations between body mass index, prostate cancer, advanced prostate cancer, and prostate-specific antigen. Cancer Causes Control 2020; 31:431-449. [PMID: 32162172 PMCID: PMC7105428 DOI: 10.1007/s10552-020-01291-3] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 02/27/2020] [Indexed: 01/15/2023]
Abstract
PURPOSE The relationship between body mass index (BMI) and prostate cancer remains unclear. However, there is an inverse association between BMI and prostate-specific antigen (PSA), used for prostate cancer screening. We conducted this review to estimate the associations between BMI and (1) prostate cancer, (2) advanced prostate cancer, and (3) PSA. METHODS We searched PubMed and Embase for studies until 02 October 2017 and obtained individual participant data from four studies. In total, 78 studies were identified for the association between BMI and prostate cancer, 21 for BMI and advanced prostate cancer, and 35 for BMI and PSA. We performed random-effects meta-analysis of linear associations of log-PSA and prostate cancer with BMI and, to examine potential non-linearity, of associations between categories of BMI and each outcome. RESULTS In the meta-analyses with continuous BMI, a 5 kg/m2 increase in BMI was associated with a percentage change in PSA of - 5.88% (95% CI - 6.87 to - 4.87). Using BMI categories, compared to normal weight men the PSA levels of overweight men were 3.43% lower (95% CI - 5.57 to - 1.23), and obese men were 12.9% lower (95% CI - 15.2 to - 10.7). Prostate cancer and advanced prostate cancer analyses showed little or no evidence associations. CONCLUSION There is little or no evidence of an association between BMI and risk of prostate cancer or advanced prostate cancer, and strong evidence of an inverse and non-linear association between BMI and PSA. The association between BMI and prostate cancer is likely biased if missed diagnoses are not considered.
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Affiliation(s)
- Sean Harrison
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, England.
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, England.
| | - Kate Tilling
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, England
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, England
| | - Emma L Turner
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, England
| | - Richard M Martin
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, England
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, England
| | - Rosie Lennon
- Department of Environment and Geography, University of York, York, England
| | - J Athene Lane
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, England
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, England
| | - Jenny L Donovan
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, England
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West, University Hospitals Bristol NHS Trust, Bristol, England
| | - Freddie C Hamdy
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, England
| | - David E Neal
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, England
- Department of Oncology, Addenbrooke's Hospital, University of Cambridge, Cambridge, England
| | - J L H Ruud Bosch
- Department of Urology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Hayley E Jones
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, England
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5
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Kelly SP, Lennon H, Sperrin M, Matthews C, Freedman ND, Albanes D, Leitzmann MF, Renehan AG, Cook MB. Body mass index trajectories across adulthood and smoking in relation to prostate cancer risks: the NIH-AARP Diet and Health Study. Int J Epidemiol 2019; 48:464-473. [PMID: 30376043 PMCID: PMC6469294 DOI: 10.1093/ije/dyy219] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/20/2018] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Previously we showed that adulthood body mass index (BMI) trajectories that result in obesity were associated with elevated risks of fatal prostate cancer (PCA). To further explore this relationship, we conducted a study within the NIH-AARP Diet and Health Study. METHODS Among 153 730 eligible men enrolled in the NIH-AARP cohort from 1995 to 1996 (median follow-up = 15.1 years), we identified 630 fatal PCA cases and 16 896 incident cases. BMI was assessed for ages 18, 35 and 50 and at study entry, enabling examination of latent class-identified BMI trajectories. Hazard ratios (HRs) and 95% confidence intervals (CI) were estimated using Cox proportional hazards regression. RESULTS BMI at study entry (mean age = 63, HR = 1.12; 95% CI = 1.01, 1.24, per 5-unit increase) and maximum BMI during adulthood (HR = 1.12; 95% CI = 1.02, 1.24, per 5-unit increase) shared modest associations with increased risk of fatal PCA. Smoking status likely modified the relationship between BMI trajectories and fatal PCA (Pinteraction = 0.035 via change-in-estimate variable section, P = 0.065 via full a priori model). Among never-smokers, BMI trajectory of normal weight to obesity was associated with increased risk of fatal disease (HR = 2.37; 95% CI = 1.38, 4.09), compared with the maintained normal weight trajectory, whereas there was no association among former or current-smokers. Total and non-aggressive PCA exhibited modest inverse associations with BMI at all ages, whereas no association was observed for aggressive PCA. CONCLUSIONS Increased BMI was positively associated with fatal PCA, especially among never-smokers. Future studies that examine PCA survival will provide additional insight as to whether these associations are the result of biology or confounding.
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Affiliation(s)
- Scott P Kelly
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hannah Lennon
- Division of Cancer Sciences, School Faculty of Biology, Medicine and Health
| | - Matthew Sperrin
- Farr Institute, MRC Health eResearch Centre, University of Manchester, Manchester, UK
| | - Charles Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michael F Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Andrew G Renehan
- Division of Cancer Sciences, School Faculty of Biology, Medicine and Health
- Farr Institute, MRC Health eResearch Centre, University of Manchester, Manchester, UK
| | - Michael B Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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Sung H, Siegel RL, Torre LA, Pearson-Stuttard J, Islami F, Fedewa SA, Goding Sauer A, Shuval K, Gapstur SM, Jacobs EJ, Giovannucci EL, Jemal A. Global patterns in excess body weight and the associated cancer burden. CA Cancer J Clin 2019; 69:88-112. [PMID: 30548482 DOI: 10.3322/caac.21499] [Citation(s) in RCA: 213] [Impact Index Per Article: 42.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The prevalence of excess body weight and the associated cancer burden have been rising over the past several decades globally. Between 1975 and 2016, the prevalence of excess body weight in adults-defined as a body mass index (BMI) ≥ 25 kg/m2 -increased from nearly 21% in men and 24% in women to approximately 40% in both sexes. Notably, the prevalence of obesity (BMI ≥ 30 kg/m2 ) quadrupled in men, from 3% to 12%, and more than doubled in women, from 7% to 16%. This change, combined with population growth, resulted in a more than 6-fold increase in the number of obese adults, from 100 to 671 million. The largest absolute increase in obesity occurred among men and boys in high-income Western countries and among women and girls in Central Asia, the Middle East, and North Africa. The simultaneous rise in excess body weight in almost all countries is thought to be driven largely by changes in the global food system, which promotes energy-dense, nutrient-poor foods, alongside reduced opportunities for physical activity. In 2012, excess body weight accounted for approximately 3.9% of all cancers (544,300 cases) with proportion varying from less than 1% in low-income countries to 7% or 8% in some high-income Western countries and in Middle Eastern and Northern African countries. The attributable burden by sex was higher for women (368,500 cases) than for men (175,800 cases). Given the pandemic proportion of excess body weight in high-income countries and the increasing prevalence in low- and middle-income countries, the global cancer burden attributable to this condition is likely to increase in the future. There is emerging consensus on opportunities for obesity control through the multisectoral coordinated implementation of core policy actions to promote an environment conducive to a healthy diet and active living. The rapid increase in both the prevalence of excess body weight and the associated cancer burden highlights the need for a rejuvenated focus on identifying, implementing, and evaluating interventions to prevent and control excess body weight.
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Affiliation(s)
- Hyuna Sung
- Principal Scientist, Surveillance and Health Services Research, American Cancer Society, Atlanta, GA
| | - Rebecca L Siegel
- Scientific Director, Scientist Surveillance and Health Services Research, American Cancer Society, Atlanta, GA
| | - Lindsey A Torre
- Scientist, Surveillance and Health Services Research, American Cancer Society, Scientist, Atlanta, GA
| | | | - Farhad Islami
- Scientific Director, Scientist Surveillance and Health Services Research, American Cancer Society, Atlanta, GA
| | - Stacey A Fedewa
- Senior Principal Scientist, Surveillance and Health Services Research, American Cancer Society, Atlanta, GA
| | - Ann Goding Sauer
- Senior Associate Scientist, Surveillance and Health Services Research, American Cancer Society, Atlanta, GA
| | - Kerem Shuval
- Senior Principal Scientist, Physical Activity and Nutrition Research, Economic and Health Policy Research Program, Atlanta, GA
| | - Susan M Gapstur
- Senior Vice President, Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | - Eric J Jacobs
- Senior Scientific Director, Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | - Edward L Giovannucci
- Professor, Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Ahmedin Jemal
- Scientific Vice President, Surveillance and Health Services Research, American Cancer Society, Atlanta, GA
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7
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Kelly SP, Graubard BI, Andreotti G, Younes N, Cleary SD, Cook MB. Prediagnostic Body Mass Index Trajectories in Relation to Prostate Cancer Incidence and Mortality in the PLCO Cancer Screening Trial. J Natl Cancer Inst 2017; 109:2905639. [PMID: 27754927 PMCID: PMC5074530 DOI: 10.1093/jnci/djw225] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Revised: 07/25/2016] [Accepted: 08/30/2016] [Indexed: 12/16/2022] Open
Abstract
Background Evidence suggests that obesity in adulthood is associated with increased risk of "clinically significant" prostate cancer. However, studies of body mass index (BMI) across the adult life course and prostate cancer risks remain limited. Methods In a prospective cohort of 69 873 men in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial, we examined associations of prediagnostic BMI across the adult life course with risk of incident prostate cancer and fatal prostate cancer (prostate cancer-specific mortality). At 13 years of follow-up, we identified 7822 incident prostate cancer cases, of which 3078 were aggressive and 255 fatal. BMI trajectories were determined using latent-class trajectory modeling. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Results BMI at age 20 years, 50 years, and baseline questionnaire (mean age = 63 years) were associated with increased risks of fatal prostate cancer (HRs = 1.27-1.32 per five-unit increase). In five BMI trajectories identified, fatal prostate cancer risk was increased in men who had a normal BMI (HR = 1.95, 95% CI = 1.21 to 3.12) or who were overweight (HR = 2.65, 95% CI = 1.35 to 5.18) at age 20 years and developed obesity by baseline compared with men who maintained a normal BMI. Aggressive and nonaggressive prostate cancer were not associated with BMI, and modest inverse associations were seen for total prostate cancer. Conclusions Our results suggest that BMI trajectories during adulthood that result in obesity lead to an elevated risk of fatal prostate cancer.
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Affiliation(s)
- Scott P Kelly
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD (SPK, BIG, GA, MBC); Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC (SPK, NY, SDC)
| | - Barry I Graubard
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD (SPK, BIG, GA, MBC); Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC (SPK, NY, SDC)
| | - Gabriella Andreotti
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD (SPK, BIG, GA, MBC); Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC (SPK, NY, SDC)
| | - Naji Younes
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD (SPK, BIG, GA, MBC); Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC (SPK, NY, SDC)
| | - Sean D Cleary
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD (SPK, BIG, GA, MBC); Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC (SPK, NY, SDC)
| | - Michael B Cook
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD (SPK, BIG, GA, MBC); Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC (SPK, NY, SDC)
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8
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Nair-Shalliker V, Yap S, Nunez C, Egger S, Rodger J, Patel MI, O'Connell DL, Sitas F, Armstrong BK, Smith DP. Adult body size, sexual history and adolescent sexual development, may predict risk of developing prostate cancer: Results from the New South Wales Lifestyle and Evaluation of Risk Study (CLEAR). Int J Cancer 2016; 140:565-574. [PMID: 27741552 DOI: 10.1002/ijc.30471] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2016] [Accepted: 09/26/2016] [Indexed: 11/07/2022]
Abstract
Prostate cancer (PC) is the most common non-cutaneous cancer in men worldwide. The relationships between PC and possible risk factors for PC cases (n = 1,181) and male controls (n = 875) from the New South Wales (NSW) Cancer, Lifestyle and Evaluation of Risk Study (CLEAR) were examined in this study. The associations between PC risk and paternal history of PC, body mass index (BMI), medical conditions, sexual behaviour, balding pattern and puberty, after adjusting for age, income, region of birth, place of residence, and PSA testing, were examined. Adjusted risk of PC was higher for men with a paternal history of PC (OR = 2.31; 95%CI: 1.70-3.14), personal history of prostatitis (OR = 2.30; 95%CI: 1.44-3.70), benign prostatic hyperplasia (OR = 2.29; 95%CI: 1.79-2.93), being overweight (vs. normal; OR = 1.24; 95%CI: 0.99-1.55) or obese (vs. normal; OR = 1.44; 95%CI: 1.09-1.89), having reported more than seven sexual partners in a lifetime (vs. < 3 partners; OR = 2.00; 95%CI: 1.49-2.68), and having reported more than 5 orgasms a month prior to PC diagnosis (vs. ≤3 orgasms; OR = 1.59; 95%CI: 1.18-2.15). PC risk was lower for men whose timing of puberty was later than their peers (vs. same as peers; OR = 0.75; 95%CI: 0.59-0.97), and a smaller risk reduction of was observed in men whose timing of puberty was earlier than their peers (vs. same as peers; OR = 0.85; 95%CI: 0.61-1.17). No associations were found between PC risk and vertex balding, erectile function, acne, circumcision, vasectomy, asthma or diabetes. These results support a role for adult body size, sexual activity, and adolescent sexual development in PC development.
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Affiliation(s)
- Visalini Nair-Shalliker
- Cancer Research Division, Cancer Council New South Wales (NSW), Sydney, NSW, Australia.,Sydney School of Public Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.,Department of Clinical Medicine, Macquarie University, Sydney, Australia
| | - Sarsha Yap
- Cancer Research Division, Cancer Council New South Wales (NSW), Sydney, NSW, Australia
| | - Carlos Nunez
- Cancer Research Division, Cancer Council New South Wales (NSW), Sydney, NSW, Australia
| | - Sam Egger
- Cancer Research Division, Cancer Council New South Wales (NSW), Sydney, NSW, Australia
| | - Jennifer Rodger
- Cancer Research Division, Cancer Council New South Wales (NSW), Sydney, NSW, Australia
| | - Manish I Patel
- Sydney School of Public Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.,Department of Urology, Westmead Hospital, Westmead, NSW, Australia
| | - Dianne L O'Connell
- Cancer Research Division, Cancer Council New South Wales (NSW), Sydney, NSW, Australia.,Sydney School of Public Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia
| | - Freddy Sitas
- Sydney School of Public Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.,School of Public Health and Community Medicine, University of New South Wales, NSW, Australia.,Menzies Centre for Health Policy, Sydney Medical School, The University of Sydney, NSW, Australia
| | - Bruce K Armstrong
- Sydney School of Public Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.,School of Population Health, University of Western Australia, Perth, Western Australia, Australia
| | - David P Smith
- Cancer Research Division, Cancer Council New South Wales (NSW), Sydney, NSW, Australia.,Sydney School of Public Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.,Menzies Health Institute, Queensland, Griffith University, Gold Coast, Queensland, Australia
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9
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Lope V, García-Esquinas E, Ruiz-Dominguez JM, LLorca J, Jiménez-Moleón JJ, Ruiz-Cerdá JL, Alguacil J, Tardón A, Dierssen-Sotos T, Tabernero Á, Mengual L, Kogevinas M, Aragonés N, Castaño-Vinyals G, Pollán M, Pérez-Gómez B. Perinatal and childhood factors and risk of prostate cancer in adulthood: MCC-Spain case-control study. Cancer Epidemiol 2016; 43:49-55. [DOI: 10.1016/j.canep.2016.06.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Revised: 06/22/2016] [Accepted: 06/27/2016] [Indexed: 10/21/2022]
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10
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Song M, Willett WC, Hu FB, Spiegelman D, Must A, Wu K, Chan AT, Giovannucci EL. Trajectory of body shape across the lifespan and cancer risk. Int J Cancer 2016; 138:2383-95. [PMID: 26704725 DOI: 10.1002/ijc.29981] [Citation(s) in RCA: 101] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Revised: 12/02/2015] [Accepted: 12/09/2015] [Indexed: 01/18/2023]
Abstract
The influence of adiposity over life course on cancer risk remains poorly understood. We assessed trajectories of body shape from age 5 up to 60 using a group-based modeling approach among 73,581 women from the Nurses' Health Study and 32,632 men from the Health Professionals Follow-up Study. After a median of approximately 10 years of follow-up, we compared incidence of total and obesity-related cancers (cancers of the esophagus [adenocarcinoma only], colorectum, pancreas, breast [after menopause], endometrium, ovaries, prostate [advanced only], kidney, liver and gallbladder) between these trajectories. We identified five distinct trajectories of body shape: lean-stable, lean-moderate increase, lean-marked increase, medium-stable, and heavy-stable/increase. Compared with women in the lean-stable trajectory, those in the lean-marked increase and heavy-stable/increase trajectories had a higher cancer risk in the colorectum, esophagus, pancreas, kidney, and endometrium (relative risk [RR] ranged from 1.22 to 2.56). Early life adiposity was inversely while late life adiposity was positively associated with postmenopausal breast cancer risk. In men, increased body fatness at any life period was associated with a higher risk of esophageal adenocarcinoma and colorectal cancer (RR ranged from 1.23 to 3.01), and the heavy-stable/increase trajectory was associated with a higher risk of pancreatic cancer, but lower risk of advanced prostate cancer. The trajectory-cancer associations were generally stronger for non-smokers and women who did not use menopausal hormone therapy. In conclusion, trajectories of body shape throughout life were related to cancer risk with varied patterns by sex and organ, indicating a role for lifetime adiposity in carcinogenesis.
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Affiliation(s)
- Mingyang Song
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Donna Spiegelman
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Aviva Must
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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11
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Allott EH, Hursting SD. Obesity and cancer: mechanistic insights from transdisciplinary studies. Endocr Relat Cancer 2015; 22:R365-86. [PMID: 26373570 PMCID: PMC4631382 DOI: 10.1530/erc-15-0400] [Citation(s) in RCA: 111] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/15/2015] [Indexed: 12/11/2022]
Abstract
Obesity is associated with a range of health outcomes that are of clinical and public health significance, including cancer. Herein, we summarize epidemiologic and preclinical evidence for an association between obesity and increased risk of breast and prostate cancer incidence and mortality. Moreover, we describe data from observational studies of weight change in humans and from calorie-restriction studies in mouse models that support a potential role for weight loss in counteracting tumor-promoting properties of obesity in breast and prostate cancers. Given that weight loss is challenging to achieve and maintain, we also consider evidence linking treatments for obesity-associated co-morbidities, including metformin, statins and non-steroidal anti-inflammatory drugs, with reduced breast and prostate cancer incidence and mortality. Finally, we highlight several challenges that should be considered when conducting epidemiologic and preclinical research in the area of obesity and cancer, including the measurement of obesity in population-based studies, the timing of obesity and weight change in relation to tumor latency and cancer diagnosis, and the heterogeneous nature of obesity and its associated co-morbidities. Given that obesity is a complex trait, comprised of behavioral, epidemiologic and molecular/metabolic factors, we argue that a transdisciplinary approach is the key to understanding the mechanisms linking obesity and cancer. As such, this review highlights the critical need to integrate evidence from both epidemiologic and preclinical studies to gain insight into both biologic and non-biologic mechanisms contributing to the obesity-cancer link.
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Affiliation(s)
- Emma H Allott
- Department of EpidemiologyCB 7435, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, North Carolina 27599, USALineberger Comprehensive Cancer CenterUniversity of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, North Carolina 27599, USADepartment of NutritionUniversity of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, North Carolina 27599, USA Department of EpidemiologyCB 7435, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, North Carolina 27599, USALineberger Comprehensive Cancer CenterUniversity of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, North Carolina 27599, USADepartment of NutritionUniversity of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, North Carolina 27599, USA
| | - Stephen D Hursting
- Department of EpidemiologyCB 7435, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, North Carolina 27599, USALineberger Comprehensive Cancer CenterUniversity of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, North Carolina 27599, USADepartment of NutritionUniversity of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, North Carolina 27599, USA Department of EpidemiologyCB 7435, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, North Carolina 27599, USALineberger Comprehensive Cancer CenterUniversity of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, North Carolina 27599, USADepartment of NutritionUniversity of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, North Carolina 27599, USA
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12
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Farioli A, Hemmingsson T, Kriebel D. Vascular risk factors and rhegmatogenous retinal detachment: a follow-up of a national cohort of Swedish men. Br J Ophthalmol 2015; 100:907-913. [DOI: 10.1136/bjophthalmol-2015-307560] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Revised: 09/28/2015] [Accepted: 10/01/2015] [Indexed: 12/31/2022]
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13
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Chen Q, Chen T, Shi W, Zhang T, Zhang W, Jin Z, Wei X, Liu Y, He J. Adult weight gain and risk of prostate cancer: A dose-response meta-analysis of observational studies. Int J Cancer 2015; 138:866-74. [PMID: 26356247 DOI: 10.1002/ijc.29846] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Revised: 07/22/2015] [Accepted: 08/13/2015] [Indexed: 11/11/2022]
Affiliation(s)
- Qi Chen
- Department of Health Statistics; Second Military Medical University; Shanghai China
| | - Tao Chen
- Department of Cardiology; Changhai Hospital; Shanghai China
| | - Wentao Shi
- Department of Health Statistics; Second Military Medical University; Shanghai China
| | - Tianyi Zhang
- Department of Health Statistics; Second Military Medical University; Shanghai China
| | - Wei Zhang
- Department of Urology; Changhai Hospital; Shanghai China
| | - Zhichao Jin
- Department of Health Statistics; Second Military Medical University; Shanghai China
| | - Xin Wei
- Division of Undergraduate, Renji Hospital, Shanghai Jiao Tong University; Shanghai China
| | - Yuzhou Liu
- Division of Undergraduate, Renji Hospital, Shanghai Jiao Tong University; Shanghai China
| | - Jia He
- Department of Health Statistics; Second Military Medical University; Shanghai China
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14
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Cantarutti A, Bonn SE, Adami HO, Grönberg H, Bellocco R, Bälter K. Body mass index and mortality in men with prostate cancer. Prostate 2015; 75:1129-36. [PMID: 25929695 DOI: 10.1002/pros.23001] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2014] [Accepted: 03/18/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND Body Mass index (BMI) has been shown to affect risk and mortality of several cancers. Prostate cancer and obesity are major public health concerns for middle-aged and older men. Previous studies of pre-diagnostic BMI have found an increased risk of prostate cancer mortality in obese patients. OBJECTIVE To study the associations between BMI at time of prostate cancer diagnosis and prostate cancer specific and overall mortality. METHODS BMI was analyzed both as a continuous variable and categorized into four groups based on the observed distribution in the cohort (BMI < 22.5, 22.5 < 25, 25 < 27.5 and ≥27.5 kg/m2). The association between BMI and mortality was assessed using stratified Cox proportional hazards models and by fitting regression splines for dose response analysis in 3,161 men diagnosed with prostate cancer. After 11 years of follow up via linkage to the population-based cause of death registry, we identified 1,161 (37%) deaths off which 690 (59%) were due to prostate cancer. RESULTS High BMI (BMI ≥ 27.5 kg/m2) was associated with a statistically significant increased risk of prostate cancer specific mortality (HR:1.44, 95% CI: 1.09-1.90) and overall mortality (HR:1.33, 95% CI: 1.09-1.63) compared to the reference group (BMI 22.5 < 25 kg/m2). Additionally, men with a low BMI (<22.5 kg/m2 ), had a statistically significant increased risk of prostate cancer specific mortality (HR:1.33, 95% CI: 1.02-1.74) and overall mortality (HR:1.36, 95% CI: 1.11-1.67) compared to the reference. However, this effect disappeared when men who died within the first two years of follow-up were excluded from the analyses while the increased risk of prostate cancer specific mortality and overall mortality remained statistically significant for men with a BMI ≥ 27.5 kg/m2 (HR:1.44, 95% CI: 1.09-1.90 and HR: 1.33, 95% CI: 1.09-1.63, respectively). CONCLUSION This study showed that a high BMI at time of prostate cancer diagnosis was associated with increased overall mortality.
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Affiliation(s)
- Anna Cantarutti
- Department of Statistics and Quantitative Methods, University of Milano-Bicocca,, Milan, Italy
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Stephanie E Bonn
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Rino Bellocco
- Department of Statistics and Quantitative Methods, University of Milano-Bicocca,, Milan, Italy
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Katarina Bälter
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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15
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Egbers L, Luedeke M, Rinckleb A, Kolb S, Wright JL, Maier C, Neuhouser ML, Stanford JL. Obesity and Prostate Cancer Risk According to Tumor TMPRSS2:ERG Gene Fusion Status. Am J Epidemiol 2015; 181:706-13. [PMID: 25852077 DOI: 10.1093/aje/kwu344] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Accepted: 11/11/2014] [Indexed: 11/12/2022] Open
Abstract
The T2E gene fusion, formed by fusion of the transmembrane protease, serine 2, gene (TMPRSS2) with the erythroblast transformation-specific (ETS)-related gene (ERG), is found in approximately 50% of prostate cancers and may characterize distinct molecular subtypes of prostate cancer with different etiologies. We investigated the relationship between body mass index (BMI; weight (kg)/height (m)(2)) and prostate cancer risk by T2E status. Study participants were residents of King County, Washington, recruited for 2 population-based case-control studies conducted in 1993-1996 and 2002-2005. Tumor T2E status was determined for 563 prostate cancer patients who underwent radical prostatectomy. Information on weight, height, and covariables was obtained through in-person interviews. We performed polytomous logistic regression to calculate odds ratios and 95% confidence intervals for T2E-positive and -negative prostate cancer. Comparing the highest BMI quartile with the lowest, inverse associations were observed between recent (≥29.7 vs. <24.5: odds ratio = 0.66, 95% confidence interval: 0.45, 0.97) and maximum (≥31.8 vs. <25.9: odds ratio = 0.69, 95% confidence interval: 0.47, 1.02) BMI and the risk of T2E-positive prostate cancer. No significant associations were seen for men with T2E-negative tumors. This study provides evidence that obesity is specifically associated with reduced risk of developing androgen-responsive T2E fusion-positive tumors. The altered steroid hormone profile in obese men may contribute to this inverse association.
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Gözen AS, Akin Y, Özden E, Ates M, Hruza M, Rassweiler J. Impact of body mass index on outcomes of laparoscopic radical prostatectomy with long-term follow-up. Scand J Urol 2014; 49:70-6. [PMID: 25130508 DOI: 10.3109/21681805.2014.920416] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE The aim of this study was to investigate the impact of body mass index (BMI) on the functional and oncological results of patients who had undergone laparoscopic radical prostatectomy (LRP). MATERIAL AND METHODS In total, 1224 patients with follow-up data (>24 months) were enrolled. Patients were divided into three groups according to BMI (kg/m(2)) as: group 1 (normal, BMI <25, n = 425), group 2 (overweight, 25 ≤ BMI <30, n = 594) and group 3 (obese, BMI ≥ 30, n = 205). Demographic, intraoperative and postoperative data with oncological outcomes were recorded. The impact of obesity on those parameters was evaluated and statistical analyses were performed. RESULTS Mean age was 63.8 ± 6.1 years and mean follow-up was 43.1 ± 25.1 months (mean ± SD). There were 425 (34.7%) patients in group 1, 594 (48.5%) in group 2 and 205 (16.8%) in group 3. Operation time, clinical stage and estimated blood loss were significantly higher in group 3 than in the other groups (p < 0.001, p = 0.001 and p = 0.001, respectively). Bilateral nerve-sparing rate and bladder neck-sparing rate were significantly decreased in group 3 compared with the other groups (p = 0.001 and p < 0.038, respectively). Statistically significantly higher pathological stage, tumour volume, positive surgical margin and Gleason scores were determined in group 3 compared with the other groups (p = 0.023, p = 0.018, p = 0.009 and p = 0.028, respectively). There were similar urinary continence rates among the groups. The rate of penetration with or without medication was significantly lower in group 3 than in the other groups (p = 0.593 and p = 0.007, respectively). CONCLUSIONS LRP seemed safe and effective in obese patients, with similar mean overall survival, cancer-specific survival, complication rates and continence rates to normal weight patients in the long term.
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Affiliation(s)
- Ali Serdar Gözen
- Department of Urology, SLK Kliniken, University of Heidelberg , Heilbronn , Germany
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Multifactorial analysis of changes in body mass index across the adult life course: a study with 65 years of follow-up. Int J Obes (Lond) 2013; 38:1133-41. [PMID: 24193660 PMCID: PMC4012011 DOI: 10.1038/ijo.2013.204] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2013] [Revised: 09/26/2013] [Accepted: 10/20/2013] [Indexed: 12/04/2022]
Abstract
Background Although the negative consequences on health of being obese are well known, most adults gain weight across the life span. The general increase in body mass index (BMI) is mainly considered to originate from behavioral and environmental changes, but few studies have evaluated the influence of these factors on change in BMI in the presence of genetic risk. We aimed to study the influence of multifactorial causes of change in BMI, over 65 years. Methods and Findings Totally, 6,130 participants from TwinGene, who had up to 5 assessments, and 536 from the Swedish Adoption/Twin Study of Aging, who had up to 12 assessments, ranging over 65 years were included. The influence of lifestyle factors, birth cohort, cardiometabolic diseases, and an individual obesity genetic risk score based on 32 single nucleotide polymorphisms on change in BMI was evaluated with a growth model. For both sexes, BMI increased from early adulthood to age 65 years, after which the increase leveled off; BMI declined after age 80 years. A higher obesity genetic risk score, birth after 1925, and cardiometabolic diseases were associated with higher average BMI and a steeper increase in BMI prior to age 65 years. Among men, few factors were identified that influence BMI trajectories in late life, while for women, type 2 diabetes mellitus and dementia were associated with a steeper decrease in BMI after the age of 65 years. Conclusions There are two turning points in BMI in late adulthood, one at age 65 years and one at age 80 years. Factors associated with an increase in BMI in midlife, were not associated with an increase in BMI after the age of 65 years. These findings indicate that the causes and consequences of change in BMI differ across the life span. Current health recommendations need to be adjusted accordingly.
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