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Huang T, Zhu Y, Shutta KH, Balasubramanian R, Zeleznik OA, Rexrode KM, Clish CB, Sun Q, Hu FB, Kubzansky LD, Hankinson SE. A Plasma Metabolite Score Related to Psychological Distress and Diabetes Risk: A Nested Case-control Study in US Women. J Clin Endocrinol Metab 2024; 109:e1434-e1441. [PMID: 38092374 DOI: 10.1210/clinem/dgad731] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Indexed: 05/18/2024]
Abstract
CONTEXT Psychological distress has been linked to diabetes risk. Few population-based, epidemiologic studies have investigated the potential molecular mechanisms (eg, metabolic dysregulation) underlying this association. OBJECTIVE To evaluate the association between a metabolomic signature for psychological distress and diabetes risk. METHODS We conducted a nested case-control study of plasma metabolomics and diabetes risk in the Nurses' Health Study, including 728 women (mean age: 55.2 years) with incident diabetes and 728 matched controls. Blood samples were collected between 1989 and 1990 and incident diabetes was diagnosed between 1992 and 2008. Based on our prior work, we calculated a weighted plasma metabolite-based distress score (MDS) comprised of 19 metabolites. We used conditional logistic regression accounting for matching factors and other diabetes risk factors to estimate odds ratios (OR) and 95% confidence intervals (CI) for diabetes risk according to MDS. RESULTS After adjusting for sociodemographic factors, family history of diabetes, and health behaviors, the OR (95% CI) for diabetes risk across quintiles of the MDS was 1.00 (reference) for Q1, 1.16 (0.77, 1.73) for Q2, 1.30 (0.88, 1.91) for Q3, 1.99 (1.36, 2.92) for Q4, and 2.47 (1.66, 3.67) for Q5. Each SD increase in MDS was associated with 36% higher diabetes risk (95% CI: 1.21, 1.54; P-trend <.0001). This association was moderately attenuated after additional adjustment for body mass index (comparable OR: 1.17; 95% CI: 1.02, 1.35; P-trend = .02). The MDS explained 17.6% of the association between self-reported psychological distress (defined as presence of depression or anxiety symptoms) and diabetes risk (P = .04). CONCLUSION MDS was significantly associated with diabetes risk in women. These results suggest that differences in multiple lipid and amino acid metabolites may underlie the observed association between psychological distress and diabetes risk.
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Affiliation(s)
- Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Yiwen Zhu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Katherine H Shutta
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Kathryn M Rexrode
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Boston, MA 02142, USA
| | - Qi Sun
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Frank B Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003, USA
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Von Holle A, Adami HO, Baglietto L, Berrington de Gonzalez A, Bertrand KA, Blot W, Chen Y, DeHart JC, Dossus L, Eliassen AH, Fournier A, Garcia-Closas M, Giles G, Guevara M, Hankinson SE, Heath A, Jones ME, Joshu CE, Kaaks R, Kirsh VA, Kitahara CM, Koh WP, Linet MS, Park HL, Masala G, Mellemkjaer L, Milne RL, O'Brien KM, Palmer JR, Riboli E, Rohan TE, Shrubsole MJ, Sund M, Tamimi R, Tin Tin S, Visvanathan K, Vermeulen RC, Weiderpass E, Willett WC, Yuan JM, Zeleniuch-Jacquotte A, Nichols HB, Sandler DP, Swerdlow AJ, Schoemaker MJ, Weinberg CR. BMI and breast cancer risk around age at menopause. Cancer Epidemiol 2024; 89:102545. [PMID: 38377945 PMCID: PMC10942753 DOI: 10.1016/j.canep.2024.102545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 02/01/2024] [Accepted: 02/05/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND A high body mass index (BMI, kg/m2) is associated with decreased risk of breast cancer before menopause, but increased risk after menopause. Exactly when this reversal occurs in relation to menopause is unclear. Locating that change point could provide insight into the role of adiposity in breast cancer etiology. METHODS We examined the association between BMI and breast cancer risk in the Premenopausal Breast Cancer Collaborative Group, from age 45 up to breast cancer diagnosis, loss to follow-up, death, or age 55, whichever came first. Analyses included 609,880 women in 16 prospective studies, including 9956 who developed breast cancer before age 55. We fitted three BMI hazard ratio (HR) models over age-time: constant, linear, or nonlinear (via splines), applying piecewise exponential additive mixed models, with age as the primary time scale. We divided person-time into four strata: premenopause; postmenopause due to natural menopause; postmenopause because of interventional loss of ovarian function (bilateral oophorectomy (BO) or chemotherapy); postmenopause due to hysterectomy without BO. Sensitivity analyses included stratifying by BMI in young adulthood, or excluding women using menopausal hormone therapy. RESULTS The constant BMI HR model provided the best fit for all four menopausal status groups. Under this model, the estimated association between a five-unit increment in BMI and breast cancer risk was HR=0.87 (95% CI: 0.85, 0.89) before menopause, HR=1.00 (95% CI: 0.96, 1.04) after natural menopause, HR=0.99 (95% CI: 0.93, 1.05) after interventional loss of ovarian function, and HR=0.88 (95% CI: 0.76, 1.02) after hysterectomy without BO. CONCLUSION The BMI breast cancer HRs remained less than or near one during the 45-55 year age range indicating that the transition to a positive association between BMI and risk occurs after age 55.
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Affiliation(s)
- Ann Von Holle
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Hans-Olov Adami
- Clinical Effectiveness Group, Institute of Health and Society, University of Oslo, Oslo, Norway; Department of Medical Epidemiology and Biostatistics, Karolinksa Institutet, Stockholm, Sweden
| | - Laura Baglietto
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | | | - William Blot
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yu Chen
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Jessica Clague DeHart
- School of Community and Global Health, Claremont Graduate University, Claremont, CA, USA
| | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Agnes Fournier
- Centre for Research in Epidemiology and Statistics, Paris, France
| | - Montse Garcia-Closas
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Graham Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Marcela Guevara
- Instituto de Salud Pública y Laboral de Navarra, Pamplona, Spain
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA
| | - Alicia Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Corinne E Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, DKFZ, Heidelberg, Germany
| | | | - Cari M Kitahara
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
| | - Martha S Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Hannah Lui Park
- Department of Pathology and Laboratory Medicine, Department of Epidemiology, UC Irvine School of Medicine, Irvine, CA, USA
| | - Giovanna Masala
- Institute for the Study and Prevention of Cancer, Florence, Italy
| | - Lene Mellemkjaer
- Diet, Cancer and Health, Danish Cancer Institute, Copenhagen, Denmark
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Julie R Palmer
- Slone Epidemiology Center, Boston University, Boston, MA, USA
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | | | | | - Malin Sund
- Department of Surgical and perioperative Sciences/Surgery, Umea University, Sweden
| | - Rulla Tamimi
- Department of Population Health Sciences, Weill Cornell Medical College, NY, USA
| | - Sandar Tin Tin
- Cancer Epidemiology Unit, Oxford Population Health, University of Oxford, United Kingdom
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Roel Ch Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Walter C Willett
- 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
| | - Jian-Min Yuan
- Division of Cancer Control and Population Science, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA, USA; Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Hazel B Nichols
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom; Division of Breast Cancer Research, The Institute of Cancer Research, London, United Kingdom
| | | | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
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Timmins IR, Jones ME, O'Brien KM, Adami HO, Aune D, Baglietto L, Bertrand KA, Brantley KD, Chen Y, Clague DeHart J, Clendenen TV, Dossus L, Eliassen AH, Fletcher O, Fournier A, Håkansson N, Hankinson SE, Houlston RS, Joshu CE, Kirsh VA, Kitahara CM, Koh WP, Linet MS, Park HL, Lynch BM, May AM, Mellemkjær L, Milne RL, Palmer JR, Ricceri F, Rohan TE, Ruddy KJ, Sánchez MJ, Shu XO, Smith-Byrne K, Steindorf K, Sund M, Vachon CM, Vatten LJ, Visvanathan K, Weiderpass E, Willett WC, Wolk A, Yuan JM, Zheng W, Nichols HB, Sandler DP, Swerdlow AJ, Schoemaker MJ. International Pooled Analysis of Leisure-Time Physical Activity and Premenopausal Breast Cancer in Women From 19 Cohorts. J Clin Oncol 2024; 42:927-939. [PMID: 38079601 PMCID: PMC10927335 DOI: 10.1200/jco.23.01101] [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: 05/22/2023] [Revised: 09/07/2023] [Accepted: 10/19/2023] [Indexed: 02/12/2024] Open
Abstract
PURPOSE There is strong evidence that leisure-time physical activity is protective against postmenopausal breast cancer risk but the association with premenopausal breast cancer is less clear. The purpose of this study was to examine the association of physical activity with the risk of developing premenopausal breast cancer. METHODS We pooled individual-level data on self-reported leisure-time physical activity across 19 cohort studies comprising 547,601 premenopausal women, with 10,231 incident cases of breast cancer. Multivariable Cox regression was used to estimate hazard ratios (HRs) and 95% CIs for associations of leisure-time physical activity with breast cancer incidence. HRs for high versus low levels of activity were based on a comparison of risk at the 90th versus 10th percentiles of activity. We assessed the linearity of the relationship and examined subtype-specific associations and effect modification across strata of breast cancer risk factors, including adiposity. RESULTS Over a median 11.5 years of follow-up (IQR, 8.0-16.1 years), high versus low levels of leisure-time physical activity were associated with a 6% (HR, 0.94 [95% CI, 0.89 to 0.99]) and a 10% (HR, 0.90 [95% CI, 0.85 to 0.95]) reduction in breast cancer risk, before and after adjustment for BMI, respectively. Tests of nonlinearity suggested an approximately linear relationship (Pnonlinearity = .94). The inverse association was particularly strong for human epidermal growth factor receptor 2-enriched breast cancer (HR, 0.57 [95% CI, 0.39 to 0.84]; Phet = .07). Associations did not vary significantly across strata of breast cancer risk factors, including subgroups of adiposity. CONCLUSION This large, pooled analysis of cohort studies adds to evidence that engagement in higher levels of leisure-time physical activity may lead to reduced premenopausal breast cancer risk.
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Affiliation(s)
- Iain R. Timmins
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Statistical Innovation, AstraZeneca, Cambridge, United Kingdom
| | - Michael E. Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Katie M. O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC
| | - Hans-Olov Adami
- Clinical Effectiveness Group, Institute of Health and Society, University of Oslo, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Nutrition, Oslo New University College, Oslo, Norway
- Department of Research, The Cancer Registry of Norway, Oslo, Norway
| | - Laura Baglietto
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Kristen D. Brantley
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Yu Chen
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, NY
| | | | - Tess V. Clendenen
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, NY
| | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - A. Heather Eliassen
- 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
| | - Olivia Fletcher
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Agnès Fournier
- UVSQ, CESP, Gustave Roussy, Team “Exposome, Heredity, Cancer, and Health”, INSERM, Paris-Saclay University, Paris-South University, Villejuif, France
| | - Niclas Håkansson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Susan E. Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA
| | - Richard S. Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Corinne E. Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Victoria A. Kirsh
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Cari M. Kitahara
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | - Martha S. Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Hannah Lui Park
- Department of Pathology and Laboratory Medicine, Department of Epidemiology, UC Irvine School of Medicine, Irvine, CA
| | - Brigid M. Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Anne M. May
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | - Roger L. Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | | | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, Centre for Biostatistics, Epidemiology, and Public Health, University of Turin, Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Turin, Italy
| | | | | | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Karl Smith-Byrne
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Karen Steindorf
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Malin Sund
- Department of Surgical and Perioperative Sciences/Surgery, Umeå University, Umeâ, Sweden
- Department of Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Celine M. Vachon
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN
| | - Lars J. Vatten
- Department of Public Health and Nursing, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Walter C. Willett
- 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
| | - Alicja Wolk
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Hazel B. Nichols
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC
| | - Anthony J. Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Division of Breast Cancer Research, The Institute of Cancer Research, London, United Kingdom
| | - Minouk J. Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Real World Solutions, IQVIA, Amsterdam, the Netherlands
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Balasubramanian R, Shutta KH, Guasch-Ferre M, Huang T, Jha SC, Zhu Y, Shadyab AH, Manson JE, Corella D, Fitó M, Hu FB, Rexrode KM, Clish CB, Hankinson SE, Kubzansky LD. Metabolomic profiles of chronic distress are associated with cardiovascular disease risk and inflammation-related risk factors. Brain Behav Immun 2023; 114:262-274. [PMID: 37557964 DOI: 10.1016/j.bbi.2023.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 08/01/2023] [Accepted: 08/06/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Chronic psychological distress is associated with increased risk of cardiovascular disease (CVD) and investigators have posited inflammatory factors may be centrally involved in these relationships. However, mechanistic evidence and molecular underpinnings of these processes remain unclear, and data are particularly sparse among women. This study examined if a metabolite profile linked with distress was associated with increased CVD risk and inflammation-related risk factors. METHODS A plasma metabolite-based distress score (MDS) of twenty chronic psychological distress-related metabolites was developed in cross-sectional, 1:1 matched case-control data comprised of 558 women from the Nurses' Health Study (NHS; 279 women with distress, 279 controls). This MDS was then evaluated in two other cohorts: the Women's Health Initiative Observational Cohort (WHI-OS) and the Prevención con Dieta Mediterránea (PREDIMED) trial. We tested the MDS's association with risk of future CVD in each sample and with levels of C-reactive protein (CRP) in the WHI-OS. The WHI-OS subsample included 944 postmenopausal women (472 CHD cases; mean time to event = 5.8 years); the PREDIMED subsample included 980 men and women (224 CVD cases, mean time to event = 3.1 years). RESULTS In the WHI-OS, a 1-SD increase in the plasma MDS was associated with a 20% increased incident CHD risk (odds ratio [OR] = 1.20, 95% CI: 1.04 - 1.38), adjusting for known CVD risk factors excluding total and HDL cholesterol. This association was attenuated after including total and HDL cholesterol. CRP mediated an average 12.9% (95% CI: 4.9% - 28%, p < 10-15) of the total effect of MDS on CHD risk when adjusting for matching factors. This effect was attenuated after adjusting for known CVD risk factors. Of the metabolites in the MDS, tryptophan and threonine were inversely associated with incident CHD risk in univariate models. In PREDIMED, each one SD increase in the MDS was associated with an OR of 1.19 (95% CI: 1.00 - 1.41) for incident CVD risk, after adjusting all risk factors. Similar associations were observed in men and women. Four metabolites in the MDS were associated with incident CVD risk in PREDIMED in univariate models. Biliverdin and C36:5 phosphatidylcholine (PC) plasmalogen had inverse associations; C16:0 ceramide and C18:0 lysophosphatidylethanolamine(LPE) each had positive associations with CVD risk. CONCLUSIONS Our study points to molecular alterations that may underlie the association between chronic distress and subsequent risk of cardiovascular disease in adults.
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Affiliation(s)
- Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, United States of America
| | - Katherine H Shutta
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, United States of America; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Marta Guasch-Ferre
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America
| | - Shaili C Jha
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Yiwen Zhu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States of America
| | - JoAnn E Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States of America
| | - Dolores Corella
- Department of Preventive Medicine and Public Health. University of Valencia, Valencia Spain and CIBEROBN, Madrid, Spain
| | - Montserrat Fitó
- Epidemiology and Public Health program. Hospital del Mar Research Institute, Barcelona, Spain and CIBEROBN, Madrid, Spain
| | - Frank B Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Kathryn M Rexrode
- Harvard Medical School, Boston, MA, United States of America; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, MA, the United States of America
| | - Clary B Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, United States of America
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, United States of America
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
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Middha P, Wang X, Behrens S, Bolla MK, Wang Q, Dennis J, Michailidou K, Ahearn TU, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Auer PL, Augustinsson A, Baert T, Freeman LEB, Becher H, Beckmann MW, Benitez J, Bojesen SE, Brauch H, Brenner H, Brooks-Wilson A, Campa D, Canzian F, Carracedo A, Castelao JE, Chanock SJ, Chenevix-Trench G, Cordina-Duverger E, Couch FJ, Cox A, Cross SS, Czene K, Dossus L, Dugué PA, Eliassen AH, Eriksson M, Evans DG, Fasching PA, Figueroa JD, Fletcher O, Flyger H, Gabrielson M, Gago-Dominguez M, Giles GG, González-Neira A, Grassmann F, Grundy A, Guénel P, Haiman CA, Håkansson N, Hall P, Hamann U, Hankinson SE, Harkness EF, Holleczek B, Hoppe R, Hopper JL, Houlston RS, Howell A, Hunter DJ, Ingvar C, Isaksson K, Jernström H, John EM, Jones ME, Kaaks R, Keeman R, Kitahara CM, Ko YD, Koutros S, Kurian AW, Lacey JV, Lambrechts D, Larson NL, Larsson S, Le Marchand L, Lejbkowicz F, Li S, Linet M, Lissowska J, Martinez ME, Maurer T, Mulligan AM, Mulot C, Murphy RA, Newman WG, Nielsen SF, Nordestgaard BG, Norman A, O'Brien KM, Olson JE, Patel AV, Prentice R, Rees-Punia E, Rennert G, Rhenius V, Ruddy KJ, Sandler DP, Scott CG, Shah M, Shu XO, Smeets A, Southey MC, Stone J, Tamimi RM, Taylor JA, Teras LR, Tomczyk K, Troester MA, Truong T, Vachon CM, Wang SS, Weinberg CR, Wildiers H, Willett W, Winham SJ, Wolk A, Yang XR, Zamora MP, Zheng W, Ziogas A, Dunning AM, Pharoah PDP, García-Closas M, Schmidt MK, Kraft P, Milne RL, Lindström S, Easton DF, Chang-Claude J. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry. Breast Cancer Res 2023; 25:93. [PMID: 37559094 PMCID: PMC10411002 DOI: 10.1186/s13058-023-01691-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 07/27/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Genome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer. METHODS Analyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs. RESULTS Assuming a 1 × 10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability < 15%, we identified two independent SNP-risk factor pairs: rs80018847(9p13)-LINGO2 and adult height in association with overall breast cancer risk (ORint = 0.94, 95% CI 0.92-0.96), and rs4770552(13q12)-SPATA13 and age at menarche for ER + breast cancer risk (ORint = 0.91, 95% CI 0.88-0.94). CONCLUSIONS Overall, the contribution of G×E interactions to the heritability of breast cancer is very small. At the population level, multiplicative G×E interactions do not make an important contribution to risk prediction in breast cancer.
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Affiliation(s)
- Pooja Middha
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Xiaoliang Wang
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Manjeet K Bolla
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Kyriaki Michailidou
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Hoda Anton-Culver
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Paul L Auer
- Division of Biostatistics, Institute for Health and Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | | | - Thaïs Baert
- Department of Oncology, Leuven Multidisciplinary Breast Center, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Javier Benitez
- Human Genetics Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- iFIT-Cluster of Excellence, University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, Tübingen, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Daniele Campa
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Biology, University of Pisa, Pisa, Italy
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Angel Carracedo
- Genomic Medicine Group, International Cancer Genetics and Epidemiology Group, Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
- Grupo de Medicina Xenómica, Centro de Investigación en Red de Enfermedades Raras (CIBERER) y Centro Nacional de Genotipado (CEGEN-PRB2), Universidad de Santiago de Compostela, Santiago de Compostela, Spain
| | - Jose E Castelao
- Oncology and Genetics Unit, Instituto de Investigación Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Emilie Cordina-Duverger
- Team 'Exposome and Heredity', CESP, Gustave Roussy, INSERM, University Paris-Saclay, UVSQ, Villejuif, France
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Angela Cox
- Department of Oncology and Metabolism, Sheffield Institute for Nucleic Acids (SInFoNiA), University of Sheffield, Sheffield, UK
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Laure Dossus
- Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Pierre-Antoine Dugué
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - D Gareth Evans
- Division of Evolution and Genomic Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, School of Biological Sciences, University of Manchester, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester Academic Health Science Centre, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
- Cancer Research UK Edinburgh Centre, The University of Edinburgh, Edinburgh, UK
| | - Olivia Fletcher
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, International Cancer Genetics and Epidemiology Group, Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Graham G Giles
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Anna González-Neira
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Felix Grassmann
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute for Clinical Research and Systems Medicine, Health and Medical University, Potsdam, Germany
| | - Anne Grundy
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada
| | - Pascal Guénel
- Team 'Exposome and Heredity', CESP, Gustave Roussy, INSERM, University Paris-Saclay, UVSQ, Villejuif, France
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Susan E Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Amherst, MA, USA
| | - Elaine F Harkness
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- Nightingale and Genesis Prevention Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- NIHR Manchester Biomedical Research Unit, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | | | - Reiner Hoppe
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Anthony Howell
- Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Christian Ingvar
- Surgery, Clinical Sciences in Lund, Lund University, Lund, Sweden
| | - Karolin Isaksson
- Department of Surgery, Kristianstad Hospital, Kristianstad, Sweden
| | - Helena Jernström
- Oncology, Clinical Sciences in Lund, Lund University, Lund, Sweden
| | - Esther M John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yon-Dschun Ko
- Department of Internal Medicine, Johanniter GmbH Bonn, Johanniter Krankenhaus, Bonn, Germany
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Allison W Kurian
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - James V Lacey
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, USA
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | - Nicole L Larson
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Susanna Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Flavio Lejbkowicz
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Shuai Li
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Martha Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie National Research Oncology Institute, Warsaw, Poland
| | - Maria Elena Martinez
- Moores Cancer Center and Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Tabea Maurer
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anna Marie Mulligan
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Laboratory Medicine Program, University Health Network, Toronto, ON, Canada
| | - Claire Mulot
- INSERM UMR-S1138. CRB EPIGENETEC, Université Paris Cité, Paris, France
| | - Rachel A Murphy
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- Cancer Control Research, BC Cancer, Vancouver, BC, Canada
| | - William G Newman
- Division of Evolution and Genomic Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, School of Biological Sciences, University of Manchester, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester Academic Health Science Centre, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Sune F Nielsen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Børge G Nordestgaard
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Aaron Norman
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Janet E Olson
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Ross Prentice
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Erika Rees-Punia
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Gad Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Valerie Rhenius
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | | | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Christopher G Scott
- Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Mitul Shah
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Ann Smeets
- Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Jennifer Stone
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Genetic Epidemiology Group, School of Population and Global Health, University of Western Australia, Perth, WA, Australia
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Katarzyna Tomczyk
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Thérèse Truong
- Team 'Exposome and Heredity', CESP, Gustave Roussy, INSERM, University Paris-Saclay, UVSQ, Villejuif, France
| | - Celine M Vachon
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Sophia S Wang
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, USA
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Hans Wildiers
- Department of Oncology, Leuven Multidisciplinary Breast Center, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Walter Willett
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stacey J Winham
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - M Pilar Zamora
- Servicio de Oncología Médica, Hospital Universitario La Paz, Madrid, Spain
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Argyrios Ziogas
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Alison M Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Roger L Milne
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Sara Lindström
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Douglas F Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Cramer DW, Vitonis AF, Huang T, Shafrir AL, Eliassen AH, Barbieri RL, Hankinson SE. Estimated Ovulatory Years Prior to Menopause and Postmenopausal Endogenous Hormone Levels. Cancer Epidemiol Biomarkers Prev 2023; 32:976-985. [PMID: 37127868 PMCID: PMC10630892 DOI: 10.1158/1055-9965.epi-23-0102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/30/2023] [Accepted: 04/27/2023] [Indexed: 05/03/2023] Open
Abstract
BACKGROUND Lifetime ovulatory years (LOY) is estimated by the difference between ages at menopause and menarche subtracting time for events interrupting ovulation. We tested whether LOY influences sex hormone levels in postmenopausal women with at least one intact ovary not using hormones. METHODS Estradiol, estrone, estrone sulfate, total testosterone, dehydroepiandrostendione sulfate, prolactin, and sex hormone binding globulin were measured in 1,976 postmenopausal women from the Nurses' Health Study. Associations of age, body mass index (BMI), smoking, alcohol use, and other factors on hormones were assessed by t tests and ANOVA. Linear regression was used to assess multivariable adjusted associations between LOY and hormones and trends in hormone levels per 5-year increases in LOY were estimated. RESULTS Women averaged 61.4 years old, 11.0 years since menopause, with BMI of 25.8 kg/m2. A total of 13.6% had irregular cycles, 17.5% hysterectomy, 6.4% unilateral oophorectomy, and 13.8% were current smokers. Variables associated with one or more hormone levels were included as covariates. Each 5-year increase in LOY was significantly associated with a 5.2% increase in testosterone in women with BMI < 25 kg/m2 and a 7.4% increase in testosterone and 7.3% increase in estradiol in women with above-average BMI. CONCLUSIONS This is the first study to show that greater LOY is associated with higher testosterone in postmenopausal women and higher estradiol in those with elevated BMI, suggesting accumulation of functioning stromal and thecal cells from repeated ovulations and peripheral conversion of testosterone. IMPACT A possible explanation for why greater LOY increases risk for breast, endometrial, and ovarian cancer is offered.
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Affiliation(s)
- Daniel W. Cramer
- Obstetrics and Gynecology Epidemiology Center, Department of Obstetrics and Gynecology, Brigham and Women’s Hospital, 221 Longwood Ave, Boston, Massachusetts 02115
- Harvard Medical School, 260 Longwood Avenue, Boston, Massachusetts 02115
| | - Allison F. Vitonis
- Obstetrics and Gynecology Epidemiology Center, Department of Obstetrics and Gynecology, Brigham and Women’s Hospital, 221 Longwood Ave, Boston, Massachusetts 02115
| | - Tianyi Huang
- Harvard Medical School, 260 Longwood Avenue, Boston, Massachusetts 02115
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115
| | - Amy L. Shafrir
- Division of Adolescent/Young Adult Medicine, Department of Pediatrics, Boston Children’s Hospital and Harvard Medical School, 300 Longwood Ave, Boston, MA 02115
| | - A. Heather Eliassen
- Harvard Medical School, 260 Longwood Avenue, Boston, Massachusetts 02115
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115
- Departments of Nutrition and Epidemiology, Harvard TH Chan School of Public Health, 655 Huntington Avenue, Boston, Massachusetts 02115
| | - Robert L. Barbieri
- Department of Obstetrics and Gynecology, Brigham and Women’s Hospital, 75 Francis Street, Boston, Massachusetts 02115
| | - Susan E. Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst MA 01003
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Shafrir AL, Mu F, Eliassen AH, Thombre Kulkarni M, Terry KL, Hankinson SE, Missmer SA. Endogenous Steroid Hormone Concentrations and Risk of Endometriosis in Nurses' Health Study II. Am J Epidemiol 2023; 192:573-586. [PMID: 36562714 PMCID: PMC10404067 DOI: 10.1093/aje/kwac219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 09/14/2022] [Accepted: 12/21/2022] [Indexed: 12/24/2022] Open
Abstract
Few studies have assessed the association between endogenous steroid hormone levels and a subsequent diagnosis of endometriosis. We prospectively evaluated premenopausal plasma sex hormone levels and the risk of laparoscopically confirmed endometriosis in a nested case-control study within Nurses' Health Study II. Between blood collection (1996-1999) and 2009, we ascertained 446 women with incident endometriosis and matched them to 878 controls through risk-set sampling. We conducted multivariable conditional logistic regression accounting for matching and confounders to estimate relative risks (RRs) and 95% confidence intervals (CIs). Women with greater early follicular-phase total or free estradiol levels had a nonlinear increased risk of endometriosis (early follicular total estradiol: second quartile vs. first, RR = 2.23 (95% CI: 1.44, 3.47); third quartile, RR = 1.83 (95% CI: 1.16, 2.88); fourth quartile, RR = 1.68 (95% CI: 1.05, 2.68); early follicular free estradiol: second quartile vs. first, RR = 1.63 (95% CI: 1.05, 2.54); third quartile, RR = 2.02 (95% CI: 1.31, 3.12); fourth quartile, RR = 1.04 (95% CI: 0.66, 1.65)). Free testosterone assessed in quartile categories was not associated with endometriosis, although a threshold effect was observed, with a positive association among women in the top 2% of free testosterone levels. Levels of mid-luteal-phase total and free estradiol, follicular and luteal estrone, total testosterone, progesterone, and sex hormone binding globulin were not associated with endometriosis risk. These results support the role of sex steroids in endometriosis etiology, although the relationships suggest complex threshold effects.
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Affiliation(s)
- Amy L Shafrir
- Correspondence to Dr. Amy Shafrir, Division of Adolescent/Young Adult Medicine, Department of Pediatrics, Boston Children’s Hospital and Harvard Medical School, 1 Autumn Street, 5th Floor, Boston, MA 02115 (e-mail: )
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8
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Vieyra G, Hankinson SE, Oulhote Y, Vandenberg LN, Tinker L, Manson JE, Shadyab AH, Thomson CA, Bao W, Allison M, Odegaard AO, Reeves KW. Association between urinary phthalate biomarker concentrations and adiposity among postmenopausal women. Environ Res 2023; 222:115356. [PMID: 36706896 PMCID: PMC9974871 DOI: 10.1016/j.envres.2023.115356] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 01/18/2023] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Obesity is a leading risk factor for chronic diseases, potentially related to excess abdominal adiposity. Phthalates are environmental chemicals that have been suggested to act as obesogens, driving obesity risk. For the associations between phthalates and adiposity, prior studies have focused primarily on body mass index. We hypothesize that more refined measures of adiposity and fat distribution may provide greater insights into these associations given the role of central adiposity in chronic disease risk. OBJECTIVES To evaluate associations between urinary phthalate biomarkers and both visceral and subcutaneous adipose tissue (VAT and SAT) among postmenopausal women enrolled in the Women's Health Initiative (WHI). METHODS We included 1125 WHI participants with available, coincident measurements of urinary phthalate biomarkers (baseline, year 3) and VAT and SAT (baseline, year 3, year 6). VAT and SAT measurements were estimated from DXA scans. Multilevel mixed-effects models estimated the prospective associations between urinary phthalate biomarkers at baseline and VAT and SAT three years later. RESULTS In multivariable adjusted models, we observed positive associations between some phthalate biomarkers, including the sum of di-isobutyl phthalate (ΣDiBP) biomarkers, MCNP, and ΣDEHP, with VAT three years later. For example, we observed positive associations between concentrations of ΣDiBP and VAT (Q4 vs Q1 β = 7.15, 95% CI -1.76-16.06; Q3 vs Q1 β = 10.94, 95% CI 3.55-18.33). Associations were generally attenuated but remained significant after additional adjustment for SAT. MBzP was positively associated with SAT. Other phthalate biomarkers investigated (MEP, MCOP, MCPP, ΣDBP) were not significantly associated with VAT or SAT. DISCUSSION Based on robust measures of adiposity, this study provides supportive evidence that higher urinary concentrations of select phthalate compounds were associated with higher VAT levels over time in postmenopausal women. Efforts to replicate these findings are needed.
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Affiliation(s)
- Gabriela Vieyra
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA
| | - Youssef Oulhote
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA
| | - Laura N Vandenberg
- Department of Environmental Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Lesley Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Cynthia A Thomson
- Department of Health Promotion Sciences, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Wei Bao
- Institute of Public Health, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Matthew Allison
- Department of Family Medicine, Division of Preventive Medicine, University of California San Diego, La Jolla, CA, USA
| | - Andrew O Odegaard
- Department of Epidemiology and Biostatistics, University of California Irvine, Irvine, CA, USA
| | - Katherine W Reeves
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA.
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9
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Hathaway CA, Rice MS, Collins LC, Chen D, Frank DA, Walker S, Clevenger CV, Tamimi RM, Tworoger SS, Hankinson SE. Prolactin levels and breast cancer risk by tumor expression of prolactin-related markers. Breast Cancer Res 2023; 25:24. [PMID: 36882838 PMCID: PMC9990334 DOI: 10.1186/s13058-023-01618-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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: 10/14/2022] [Accepted: 02/11/2023] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND Higher circulating prolactin has been associated with increased breast cancer risk. Prolactin binding to the prolactin receptor (PRLR) can activate the transcription factor STAT5, thus, we examined the association between plasma prolactin and breast cancer risk by tumor expression of PRLR, STAT5, and the upstream kinase JAK2. METHODS Using data from 745 cases and 2454 matched controls in the Nurses' Health Study, we conducted polytomous logistic regression to examine the association between prolactin (> 11 ng/mL vs. ≤ 11 ng/mL) measured within 10 years of diagnosis and breast cancer risk by PRLR (nuclear [N], cytoplasmic [C]), phosphorylated STAT5 (pSTAT5; N, C), and phosphorylated JAK2 (pJAK2; C) tumor expression. Analyses were conducted separately in premenopausal (n = 168 cases, 765 controls) and postmenopausal women (n = 577 cases, 1689 controls). RESULTS In premenopausal women, prolactin levels > 11 ng/mL were positively associated with risk of tumors positive for pSTAT5-N (OR 2.30, 95% CI 1.02-5.22) and pSTAT5-C (OR 1.64, 95% CI 1.01-2.65), but not tumors that were negative for these markers (OR 0.98, 95% CI 0.65-1.46 and OR 0.73, 95% CI 0.43-1.25; p-heterogeneity = 0.06 and 0.02, respectively). This was stronger when tumors were positive for both pSTAT5-N and pSTAT5-C (OR 2.88, 95% CI 1.14-7.25). No association was observed for PRLR or pJAK2 (positive or negative) and breast cancer risk among premenopausal women. Among postmenopausal women, plasma prolactin levels were positively associated with breast cancer risk irrespective of PRLR, pSTAT5, or pJAK2 expression (all p-heterogeneity ≥ 0.21). CONCLUSION We did not observe clear differences in the association between plasma prolactin and breast cancer risk by tumor expression of PRLR or pJAK2, although associations for premenopausal women were observed for pSTAT5 positive tumors only. While additional studies are needed, this suggests that prolactin may act on human breast tumor development through alternative pathways.
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Affiliation(s)
- Cassandra A Hathaway
- Department of Cancer Epidemiology, Moffitt Cancer Center, 13131 Magnolia Drive, Tampa, FL, 33612, USA.
| | - Megan S Rice
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Laura C Collins
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Dilys Chen
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.,Royal Columbian Hospital, University of British Columbia, Vancouver, Canada
| | - David A Frank
- Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.,Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Sarah Walker
- Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Charles V Clevenger
- Department of Pathology, Virginia Commonwealth University, Richmond, VA, USA
| | - Rulla M Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, 13131 Magnolia Drive, Tampa, FL, 33612, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA
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Vieyra G, Hankinson SE, Oulhote Y, Vandenberg L, Tinker L, Mason J, Shadyab AH, Wallace R, Arcan C, Chen JC, Reeves KW. Dietary patterns and urinary phthalate exposure among postmenopausal women of the Women's Health Initiative. Environ Res 2023; 216:114727. [PMID: 36356671 PMCID: PMC10363918 DOI: 10.1016/j.envres.2022.114727] [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] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 10/10/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Phthalates are endocrine-disrupting chemicals linked to a higher risk of numerous chronic health outcomes. Diet is a primary source of exposure, but prior studies exploring associations between dietary patterns and phthalate exposure are limited. OBJECTIVES We evaluated the associations between dietary patterns and urinary phthalate biomarkers among a subset of postmenopausal women participating in the Women's Health Initiative (WHI). METHODS We included WHI participants selected for a nested case-control study of phthalates and breast cancer (N = 1240). Dietary intake was measured via self-administered food frequency questionnaires at baseline and year-3. We used these data to calculate scores for alignment with the Dietary Approach to Stop Hypertension (DASH), alternative Mediterranean (aMed), and Dietary Inflammatory Index (DII) diets. We measured 13 phthalate metabolites and creatinine in 2-3 urine samples per participant collected over 3-years when all participants were cancer-free. We fit multivariable generalized estimating equation models to estimate the cross-sectional associations. RESULTS DASH and aMed dietary scores were inversely associated with the sum of di(2-Ethylhexyl) phthalate (-6.48%, 95% CI -9.84, -3.00; -5.23%, 95% CI -8.73, -1.60) and DII score was positively associated (9.00%, 95% CI 5.04, 13.11). DASH and aMed scores were also inversely associated with mono benzyl phthalate and mono-3-carboxypropyl phthalate. DII scores were positively associated with mono benzyl phthalate and the sum of di-n-butyl phthalate. DISCUSSION Higher dietary alignment with DASH and aMed dietary patterns were significantly associated with lower concentrations of certain phthalate biomarkers, while an inflammatory diet pattern was associated with higher phthalate biomarker concentrations. These findings suggest that dietary patterns high in fruits, vegetables, and low-fat foods and low in processed foods may be useful in avoiding exposure to phthalates.
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Affiliation(s)
- Gabriela Vieyra
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA.
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Youssef Oulhote
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Laura Vandenberg
- Department of Environmental Health Sciences, University of Massachusetts Amherst, Amherst, Ma, 01003, USA
| | - Lesley Tinker
- Department of Cancer Prevention, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - JoAnn Mason
- Department of Medicine, Brigham and Women's Hospital, and Epidemiology, Harvard T.H. Chan School, Boston, MA, 02115, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Robert Wallace
- Department of Epidemiology and Internal Medicine, University of Iowa, USA
| | - Chrisa Arcan
- Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, VA, USA
| | - J C Chen
- Department of Population & Public Health Sciences and Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Katherine W Reeves
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA.
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11
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Langton CR, Whitcomb BW, Purdue-Smithe AC, Harmon QE, Hankinson SE, Manson JE, Rosner BA, Bertone-Johnson ER. Association of adverse pregnancy outcomes and multiple gestation with natural menopause: A population-based cohort study. Maturitas 2023; 167:82-89. [PMID: 36308975 PMCID: PMC9712230 DOI: 10.1016/j.maturitas.2022.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/02/2022] [Accepted: 10/16/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Adverse pregnancy outcomes (APOs) and early menopause are each associated with increased risk of cardiovascular disease (CVD); whether APOs are associated with age at menopause is unclear. We examined the association of gestational diabetes (GDM), hypertensive disorders of pregnancy (HDP), preterm birth, and multiple gestation with age at natural menopause. STUDY DESIGN Observational, prospective study within the Nurses' Health Study II cohort (1989-2019). MAIN OUTCOMES MEASURES Risk of early natural menopause, defined as occurring before the age of 45 years, and age at onset of natural menopause (hazard ratio (HR) >1 indicates younger age at menopause). RESULTS The mean [SD] baseline age of 69,880 parous participants was 34.5 [4.7] years. Compared with participants who had a term singleton first birth, those with a term multiple-gestation first birth had higher risk of early menopause (HR: 1.65, 95% CI: 1.05, 2.60) and younger age at natural menopause (HR: 1.46, 95% CI: 1.31, 1.63). Estimates for preterm multiple gestation were of similar magnitude. Menopause occurred at a younger age for those with a preterm birth with spontaneous labor (HR: 1.08, 95% CI: 1.03, 1.14) compared to those with a term birth with spontaneous labor. Conversely, estimates for GDM (HR: 0.95, 95% CI: 0.89, 1.02) and HDP (preeclampsia, HR: 0.93, 95% CI: 0.89, 0.97) suggested an association with older age at menopause. CONCLUSIONS In this large cohort study, several statistically significant associations between APOs and age at natural menopause were observed. A deeper understanding of the relationships among APOs, menopause, and CVD is needed to help identify people at higher risk for early menopause and later CVD.
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Affiliation(s)
- Christine R Langton
- Women's Health Group, Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA; Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA.
| | - Brian W Whitcomb
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA
| | - Alexandra C Purdue-Smithe
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Quaker E Harmon
- Women's Health Group, Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA
| | - JoAnn E Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA
| | - Bernard A Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Elizabeth R Bertone-Johnson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA; Department of Health Promotion and Policy, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA
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12
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Visvanathan K, Mondul AM, Zeleniuch-Jacquotte A, Wang M, Gail MH, Yaun SS, Weinstein SJ, McCullough ML, Eliassen AH, Cook NR, Agnoli C, Almquist M, Black A, Buring JE, Chen C, Chen Y, Clendenen T, Dossus L, Fedirko V, Gierach GL, Giovannucci EL, Goodman GE, Goodman MT, Guénel P, Hallmans G, Hankinson SE, Horst RL, Hou T, Huang WY, Jones ME, Joshu CE, Kaaks R, Krogh V, Kühn T, Kvaskoff M, Lee IM, Mahamat-Saleh Y, Malm J, Manjer J, Maskarinec G, Millen AE, Mukhtar TK, Neuhouser ML, Robsahm TE, Schoemaker MJ, Sieri S, Sund M, Swerdlow AJ, Thomson CA, Ursin G, Wactawski-Wende J, Wang Y, Wilkens LR, Wu Y, Zoltick E, Willett WC, Smith-Warner SA, Ziegler RG. Circulating vitamin D and breast cancer risk: an international pooling project of 17 cohorts. Eur J Epidemiol 2023; 38:11-29. [PMID: 36593337 PMCID: PMC10039648 DOI: 10.1007/s10654-022-00921-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 09/21/2022] [Indexed: 01/04/2023]
Abstract
Laboratory and animal research support a protective role for vitamin D in breast carcinogenesis, but epidemiologic studies have been inconclusive. To examine comprehensively the relationship of circulating 25-hydroxyvitamin D [25(OH)D] to subsequent breast cancer incidence, we harmonized and pooled participant-level data from 10 U.S. and 7 European prospective cohorts. Included were 10,484 invasive breast cancer cases and 12,953 matched controls. Median age (interdecile range) was 57 (42-68) years at blood collection and 63 (49-75) years at breast cancer diagnosis. Prediagnostic circulating 25(OH)D was either newly measured using a widely accepted immunoassay and laboratory or, if previously measured by the cohort, calibrated to this assay to permit using a common metric. Study-specific relative risks (RRs) for season-standardized 25(OH)D concentrations were estimated by conditional logistic regression and combined by random-effects models. Circulating 25(OH)D increased from a median of 22.6 nmol/L in consortium-wide decile 1 to 93.2 nmol/L in decile 10. Breast cancer risk in each decile was not statistically significantly different from risk in decile 5 in models adjusted for breast cancer risk factors, and no trend was apparent (P-trend = 0.64). Compared to women with sufficient 25(OH)D based on Institute of Medicine guidelines (50- < 62.5 nmol/L), RRs were not statistically significantly different at either low concentrations (< 20 nmol/L, 3% of controls) or high concentrations (100- < 125 nmol/L, 3% of controls; ≥ 125 nmol/L, 0.7% of controls). RR per 25 nmol/L increase in 25(OH)D was 0.99 [95% confidence intervaI (CI) 0.95-1.03]. Associations remained null across subgroups, including those defined by body mass index, physical activity, latitude, and season of blood collection. Although none of the associations by tumor characteristics reached statistical significance, suggestive inverse associations were seen for distant and triple negative tumors. Circulating 25(OH)D, comparably measured in 17 international cohorts and season-standardized, was not related to subsequent incidence of invasive breast cancer over a broad range in vitamin D status.
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Affiliation(s)
- Kala Visvanathan
- Departments of Epidemiology and Oncology, Johns Hopkins Bloomberg School of Public Health and Kimmel Cancer Center, Baltimore, MD, USA
| | - Alison M Mondul
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Anne Zeleniuch-Jacquotte
- Departments of Population Health and Environmental Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Molin Wang
- Department of Biostatistics, 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, Harvard Medical School, Boston, MA, USA
| | - Mitchell H Gail
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shiaw-Shyuan Yaun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Nancy R Cook
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, IRCCS National Cancer Institute Foundation, Milan, Italy
| | - Martin Almquist
- Department of Surgery, Skane University Hospital, Lund, Sweden
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Julie E Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yu Chen
- Departments of Population Health and Environmental Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Tess Clendenen
- Departments of Population Health and Environmental Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Veronika Fedirko
- Department of Epidemiology, Rollins School of Public Health and Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Gary E Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Marc T Goodman
- Cancer Prevention and Control Research Program, Cedars Sinai Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
| | - Pascal Guénel
- Center for Research in Epidemiology and Population Health (CESP), French National Institute of Health and Medical Research (INSERM), University Paris-Saclay, Villejuif, France
| | - Göran Hallmans
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | | | - Tao Hou
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Corrine E Joshu
- Departments of Epidemiology and Oncology, Johns Hopkins Bloomberg School of Public Health and Kimmel Cancer Center, Baltimore, MD, USA
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, IRCCS National Cancer Institute Foundation, Milan, Italy
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute for Global Food Security, Queen's University, Belfast, Northern Ireland
| | - Marina Kvaskoff
- Center for Research in Epidemiology and Population Health (CESP), French National Institute of Health and Medical Research (INSERM), University Paris-Saclay, Villejuif, France
| | - I-Min Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yahya Mahamat-Saleh
- Center for Research in Epidemiology and Population Health (CESP), French National Institute of Health and Medical Research (INSERM), University Paris-Saclay, Villejuif, France
| | - Johan Malm
- Department of Translational Medicine, Lund University, Malmö, Sweden
| | - Jonas Manjer
- Department of Surgery, Skane University Hospital, Lund University, Malmö, Sweden
| | - Gertraud Maskarinec
- Cancer Epidemiology Program, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Amy E Millen
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, USA
| | - Toqir K Mukhtar
- Department of Primary Care and Public Health, Imperial College, London, UK
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Trude E Robsahm
- Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Sabina Sieri
- Epidemiology and Prevention Unit, IRCCS National Cancer Institute Foundation, Milan, Italy
| | - Malin Sund
- Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Cynthia A Thomson
- Department of Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona and University of Arizona Cancer Center, Tucson, AZ, USA
| | - Giske Ursin
- Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, USA
| | - Ying Wang
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Lynne R Wilkens
- Population Sciences in the Pacific, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Yujie Wu
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Emilie Zoltick
- Department of Population Medicine, Harvard Medical School, Boston, MA, USA
| | - Walter C Willett
- 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
| | - Stephanie A Smith-Warner
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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13
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Zhu Y, Jha SC, Shutta KH, Huang T, Balasubramanian R, Clish CB, Hankinson SE, Kubzansky LD. Psychological distress and metabolomic markers: A systematic review of posttraumatic stress disorder, anxiety, and subclinical distress. Neurosci Biobehav Rev 2022; 143:104954. [PMID: 36368524 PMCID: PMC9729460 DOI: 10.1016/j.neubiorev.2022.104954] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 08/30/2022] [Accepted: 11/06/2022] [Indexed: 11/09/2022]
Abstract
Psychological distress can be conceptualized as an umbrella term encompassing symptoms of depression, anxiety, posttraumatic stress disorder (PTSD), or stress more generally. A systematic review of metabolomic markers associated with distress has the potential to reveal underlying molecular mechanisms linking distress to adverse health outcomes. The current systematic review extends prior reviews of clinical depressive disorders by synthesizing 39 existing studies that examined metabolomic markers for PTSD, anxiety disorders, and subclinical psychological distress in biological specimens. Most studies were based on small sets of pre-selected candidate metabolites, with few metabolites overlapping between studies. Vast heterogeneity was observed in study design and inconsistent patterns of association emerged between distress and metabolites. To gain a more robust understanding of distress and its metabolomic signatures, future research should include 1) large, population-based samples and longitudinal assessments, 2) replication and validation in diverse populations, 3) and agnostic metabolomic strategies profiling hundreds of targeted and nontargeted metabolites. Addressing these research priorities will improve the scope and reproducibility of future metabolomic studies of psychological distress.
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Affiliation(s)
- Yiwen Zhu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Shaili C Jha
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Katherine H Shutta
- Department of Biostatistics, 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
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA
| | - Clary B Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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14
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Asad S, Damicis A, Heng YJ, Kananen K, Collier KA, Adams EJ, Kensler KH, Baker GM, Wesolowski R, Sardesai S, Gatti-Mays M, Ramaswamy B, Eliassen AH, Hankinson SE, Tabung FK, Tamimi RM, Stover DG. Association of body mass index and inflammatory dietary pattern with breast cancer pathologic and genomic immunophenotype in the nurses' health study. Breast Cancer Res 2022; 24:78. [PMID: 36376974 PMCID: PMC9661734 DOI: 10.1186/s13058-022-01573-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 11/01/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Breast tumor immune infiltration is clearly associated with improved treatment response and outcomes in breast cancer. However, modifiable patient factors associated with breast cancer immune infiltrates are poorly understood. The Nurses' Health Study (NHS) offers a unique cohort to study immune gene expression in tumor and adjacent normal breast tissue, immune cell-specific immunohistochemistry (IHC), and patient exposures. We evaluated the association of body mass index (BMI) change since age 18, physical activity, and the empirical dietary inflammatory pattern (EDIP) score, all implicated in systemic inflammation, with immune cell-specific expression scores. METHODS This population-based, prospective observational study evaluated 882 NHS and NHSII participants diagnosed with invasive breast cancer with detailed exposure and gene expression data. Of these, 262 women (training cohort) had breast tumor IHC for four classic immune cell markers (CD8, CD4, CD20, and CD163). Four immune cell-specific scores were derived via lasso regression using 105 published immune expression signatures' association with IHC. In the remaining 620 patient evaluation cohort, we evaluated association of each immune cell-specific score as outcomes, with BMI change since age 18, physical activity, and EDIP score as predictors, using multivariable-adjusted linear regression. RESULTS Among women with paired expression/IHC data from breast tumor tissue, we identified robust correlation between novel immune cell-specific expression scores and IHC. BMI change since age 18 was positively associated with CD4+ (β = 0.16; p = 0.009), and CD163 novel immune scores (β = 0.14; p = 0.04) in multivariable analyses. In other words, for each 10 unit (kg/m2) increase in BMI, the percentage of cells positive for CD4 and CD163 increased 1.6% and 1.4%, respectively. Neither physical activity nor EDIP was significantly associated with any immune cell-specific expression score in multivariable analyses. CONCLUSIONS BMI change since age 18 was positively associated with novel CD4+ and CD163+ cell scores in breast cancer, supporting further study of the effect of modifiable factors like weight gain on the immune microenvironment.
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Affiliation(s)
- Sarah Asad
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Adrienne Damicis
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Yujing J Heng
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Kathryn Kananen
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Katharine A Collier
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Elizabeth J Adams
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
- Northwestern Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Kevin H Kensler
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Gabrielle M Baker
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Robert Wesolowski
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Sagar Sardesai
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Margaret Gatti-Mays
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Bhuvaneswari Ramaswamy
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Susan E Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Department of Biostatistics and Epidemiology, University of Massachusetts School of Public Health and Health Sciences, Amherst, MA, 01003, USA
| | - Fred K Tabung
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
- Division of Epidemiology, College of Public Health, Ohio State University, Columbus, OH, 43210, USA
- Ohio State University College of Medicine, Columbus, OH, 43210, USA
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Daniel G Stover
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA.
- Department of Biomedical Informatics, Ohio State University, Columbus, OH, 43210, USA.
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Abstract
BACKGROUND Exposure to endocrine disruptors, such as phthalates, may impact bone mineral density (BMD) through a variety of mechanisms. Studies of phthalate exposure and BMD in humans are scarce. OBJECTIVES To synthesize published data on the association between phthalate metabolites and BMD in humans and to provide methodological suggestions for future research. METHODS A single investigator searched PubMed for relevant studies, including observational studies of phthalate exposure and BMD in children and postmenopausal women. Twelve studies were screened with 5 meeting the eligibility criteria and included for review. A quality assessment form was used as a quality measure and key information was extracted from the included studies. RESULTS In one prospective study among postmenopausal women, higher levels of monocarboxyoctyl phthalate (MCOP) and monocarboxynonyl phthalate (MCNP) were significantly associated with lower BMD among nonusers of hormone therapy (HT). In cross-sectional studies of postmenopausal women, monoethyl phthalate (MEP), mono-n-butyl phthalate (MnBP), mono (3-carboxypropyl) phthalate (MCPP), and mono-benzyl phthalate (MBzP) were negatively associated with BMD, and MCNP was positively associated with BMD, but these results were not replicated across studies. In studies of fetal exposure to phthalates and childhood BMD, significant positive associations between MCPP and BMD in children at age 12 years were found in 1 study, while associations were null in the other study. CONCLUSIONS Studies among postmenopausal women provide suggestive evidence of an association between urinary phthalate metabolite concentration and decreased BMD. Results from studies of childhood BMD are inconclusive given the limited data and their limitations. More research is needed to address limitations and further investigate the association between phthalate exposure and human BMD.
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Affiliation(s)
- Nina Z Heilmann
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Katherine W Reeves
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA.
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
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16
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Wang T, Heng YJ, Baker GM, Bret-Mounet VC, Quintana LM, Frueh L, Hankinson SE, Holmes MD, Chen WY, Willett WC, Rosner B, Tamimi RM, Eliassen AH. Loss of PTEN Expression, PIK3CA Mutations, and Breast Cancer Survival in the Nurses' Health Studies. Cancer Epidemiol Biomarkers Prev 2022; 31:1926-1934. [PMID: 35914729 PMCID: PMC9532372 DOI: 10.1158/1055-9965.epi-22-0672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 06/28/2022] [Accepted: 07/29/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The relationships between PTEN loss and/or PIK3CA mutation and breast cancer prognosis remain controversial. We aim to examine the associations in large epidemiologic cohorts. METHODS We followed women with invasive breast cancer from the Nurses' Health Studies with available data on tumor PTEN expression (n = 4,111) and PIK3CA mutation (n = 2,930). PTEN expression was evaluated by IHC and digitally scored (0%-100%). Pyrosequencing of six hotspot mutations of PIK3CA was performed. RESULTS We found loss of PTEN expression (≤10%) occurred in 17% of cases, and PIK3CA mutations were detected in 11% of cases. After adjusting for clinical and lifestyle factors, PTEN loss was not associated with worse breast cancer-specific mortality among all samples [HR, 0.85; 95% confidence intervals (CI), 0.71-1.03] or among estrogen receptor (ER)-positive tumors (HR, 0.99; 95% CI, 0.79-1.24). However, among ER-negative tumors, PTEN loss was associated with lower breast cancer-specific mortality (HR, 0.68; 95% CI, 0.48-0.95). PIK3CA mutation was not strongly associated with breast cancer-specific mortality (HR, 0.89; 95% CI, 0.67-1.17). Compared with tumors without PTEN loss and without PIK3CA mutation, those with alterations (n = 540) were not at higher risk (HR, 1.07; 95% CI, 0.86-1.34). However, women with both PTEN loss and PIK3CA mutation (n = 38) were at an increased risk of breast cancer-specific mortality (HR, 1.65; 95% CI, 0.83-3.26). CONCLUSIONS In this large epidemiologic study, the PTEN-mortality association was more pronounced for ER-negative tumors, and the joint PTEN loss and PIK3CA mutation may be associated with worse prognosis. IMPACT Further studies with a larger sample of ER-negative tumors are needed to replicate our findings and elucidate underlying mechanisms.
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Affiliation(s)
- Tengteng Wang
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital, and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Yujing J. Heng
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA
| | - Gabrielle M. Baker
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA
| | | | - Liza M. Quintana
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA
| | - Lisa Frueh
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital, and Harvard Medical School, Boston, MA
| | - Susan E. Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts School of Public Health and Health Sciences, Amherst, MA
| | - Michelle D. Holmes
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital, and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Wendy Y. Chen
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital, and Harvard Medical School, Boston, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Walter C. Willett
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Bernard Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital, and Harvard Medical School, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Rulla M. Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY
| | - A. Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital, and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
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17
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Grimes NP, Whitcomb BW, Reeves KW, Sievert LL, Purdue-Smithe A, Manson JE, Hankinson SE, Rosner BA, Bertone-Johnson ER. The association between anthropometric factors and anti-Müllerian hormone levels in premenopausal women. Women Health 2022; 62:580-592. [DOI: 10.1080/03630242.2022.2096747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Nydjie P. Grimes
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Brian W. Whitcomb
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Katherine W. Reeves
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Lynnette L. Sievert
- Department of Anthropology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Alexandra Purdue-Smithe
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA
| | - JoAnn E. Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Maryland, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Susan E. Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Maryland, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Bernard A. Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Maryland, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Elizabeth R. Bertone-Johnson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
- Department of Health Promotion and Policy, University of Massachusetts Amherst, Amherst, Massachusetts, USA
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18
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Rosner B, Glynn RJ, Eliassen AH, Hankinson SE, Tamimi RM, Chen WY, Holmes MD, Mu Y, Peng C, Colditz GA, Willett WC, Tworoger SS. A Multi-State Survival Model for Time to Breast Cancer Mortality among a Cohort of Initially Disease-Free Women. Cancer Epidemiol Biomarkers Prev 2022; 31:1582-1592. [PMID: 35654356 PMCID: PMC9348829 DOI: 10.1158/1055-9965.epi-21-1471] [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: 01/04/2022] [Revised: 04/12/2022] [Accepted: 05/26/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Identifying risk factors for aggressive forms of breast cancer is important. Tumor factors (e.g., stage) are important predictors of prognosis, but may be intermediates between prediagnosis risk factors and mortality. Typically, separate models are fit for incidence and mortality postdiagnosis. These models have not been previously integrated to identify risk factors for lethal breast cancer in cancer-free women. METHODS We combined models for breast cancer incidence and breast cancer-specific mortality among cases into a multi-state survival model for lethal breast cancer. We derived the model from cancer-free postmenopausal Nurses' Health Study women in 1990 using baseline risk factors. A total of 4,391 invasive breast cancer cases were diagnosed from 1990 to 2014 of which 549 died because of breast cancer over the same period. RESULTS Some established risk factors (e.g., family history, estrogen plus progestin therapy) were not associated with lethal breast cancer. Controlling for age, the strongest risk factors for lethal breast cancer were weight gain since age 18: > 30 kg versus ± 5 kg, RR = 1.94 [95% confidence interval (CI) = 1.38-2.74], nulliparity versus age at first birth (AAFB) < 25, RR = 1.60 (95% CI = 1.16-2.22), and current smoking ≥ 15 cigarettes/day versus never, RR = 1.42 (95% CI = 1.07-1.89). CONCLUSIONS Some breast cancer incidence risk factors are not associated with lethal breast cancer; other risk factors for lethal breast cancer are not associated with disease incidence. IMPACT This multi-state survival model may be useful for identifying prediagnosis factors that lead to more aggressive and ultimately lethal breast cancer.
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Affiliation(s)
- Bernard Rosner
- Channing Division of Network 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
| | - Robert J. Glynn
- Channing Division of Network 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
| | - A. Heather Eliassen
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Susan E. Hankinson
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Massachusetts
| | - Rulla M. Tamimi
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
| | - Wendy Y. Chen
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Michelle D. Holmes
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Yi Mu
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Cheng Peng
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Graham A. Colditz
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Siteman Cancer Center and Washington University School of Medicine, Saint Louis, Missouri
| | - Walter C. Willett
- 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
| | - Shelley S. Tworoger
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
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19
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Huang T, Zeleznik OA, Roberts AL, Balasubramanian R, Clish CB, Eliassen AH, Rexrode KM, Tworoger SS, Hankinson SE, Koenen KC, Kubzansky LD. Plasma Metabolomic Signature of Early Abuse in Middle-Aged Women. Psychosom Med 2022; 84:536-546. [PMID: 35471987 PMCID: PMC9167800 DOI: 10.1097/psy.0000000000001088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVE Metabolomic profiling may provide insights into biological mechanisms underlying the strong epidemiologic links observed between early abuse and cardiometabolic disorders in later life. METHODS We examined the associations between early abuse and midlife plasma metabolites in two nonoverlapping subsamples from the Nurses' Health Study II, comprising 803 (mean age = 40 years) and 211 women (mean age = 61 years). Liquid chromatography-tandem mass spectrometry assays were used to measure metabolomic profiles, with 283 metabolites consistently measured in both subsamples. Physical and sexual abuse before age 18 years was retrospectively assessed by validated questions integrating type/frequency of abuse. Analyses were conducted in each sample and pooled using meta-analysis, with multiple testing adjustment using the q value approach for controlling the positive false discovery rate. RESULTS After adjusting for age, race, menopausal status, body size at age 5 years, and childhood socioeconomic indicators, more severe early abuse was consistently associated with five metabolites at midlife (q value < 0.20 in both samples), including lower levels of serotonin and C38:3 phosphatidylethanolamine plasmalogen and higher levels of alanine, proline, and C40:6 phosphatidylethanolamine. Other metabolites potentially associated with early abuse (q value < 0.05 in the meta-analysis) included triglycerides, phosphatidylcholine plasmalogens, bile acids, tyrosine, glutamate, and cotinine. The association between early abuse and midlife metabolomic profiles was partly mediated by adulthood body mass index (32% mediated) and psychosocial distress (13%-26% mediated), but not by other life-style factors. CONCLUSIONS Early abuse was associated with distinct metabolomic profiles of multiple amino acids and lipids in middle-aged women. Body mass index and psychosocial factors in adulthood may be important intermediates for the observed association.
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Affiliation(s)
- Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Oana A. Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Andrea L. Roberts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA
| | | | - A. Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Kathryn M. Rexrode
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Shelley S. Tworoger
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Susan E. Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA
| | - Karestan C. Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
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Langton CR, Whitcomb BW, Purdue-Smithe AC, Sievert LL, Hankinson SE, Manson JE, Rosner BA, Bertone-Johnson ER. Association of In Utero Exposures With Risk of Early Natural Menopause. Am J Epidemiol 2022; 191:775-786. [PMID: 35015807 DOI: 10.1093/aje/kwab301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 12/22/2021] [Accepted: 12/30/2021] [Indexed: 11/14/2022] Open
Abstract
Suboptimal pregnancy conditions may affect ovarian development in the fetus and be associated with early natural menopause (ENM) for offspring. A total of 106,633 premenopausal participants in Nurses' Health Study II who provided data on their own prenatal characteristics, including diethylstilbestrol (DES) exposure, maternal cigarette smoking exposure, multiplicity, prematurity, and birth weight, were followed from 1989 to 2017. Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations of in utero exposures with ENM. During 1.6 million person-years of follow-up, 2,579 participants experienced ENM. In multivariable models, women with prenatal DES exposure had higher risk of ENM compared with those without it (HR = 1.33, 95% CI: 1.06, 1.67). Increased risk of ENM was observed for those with low (<5.5 pounds (<2.5 kg)) versus normal (7.0-8.4 pounds (3.2-3.8 kg)) birth weight (HR = 1.21, 95% CI: 1.01, 1.45). Decreasing risk was observed per 1-pound (0.45-kg) increase in birth weight (HR = 0.93, 95% CI: 0.90, 0.97). Prenatal smoking exposure, being part of a multiple birth, and prematurity were not associated with ENM. In this large cohort study, lower birth weight and prenatal DES exposure were associated with higher risk of ENM. Our results support a need for future research to examine in utero exposures that may affect offspring reproductive health.
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Stover DG, Damicis A, Heng YJ, Collier KA, Adams EJ, Kensler KH, Baker GM, Wesolowski R, Sardesai S, Gatti-Mays M, Ramaswamy B, Eliassen AH, Hankinson SE, Tabung FK, Tamimi RM, Asad S. Abstract PD9-11: Association of body mass index and inflammatory dietary pattern with breast cancer pathologic and genomic immunophenotype in the nurses’ health study. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-pd9-11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Purpose: Immune infiltration is associated with better treatment response and outcomes in breast cancer, yet data regarding the role of modifiable patient factors in immune infiltration are limited. Patients and Methods: This population-based, prospective observational study evaluated 882 Nurses’ Health Study (NHS) and NHSII participants diagnosed with invasive breast cancer with detailed exposure and gene expression data. Of these, 262 women (training cohort) had breast tumor immunohistochemistry (IHC) for four canonical immune cell markers: CD8, CD4, CD20, CD163. In this training cohort, 105 published immune cell-specific gene expression signatures were calculated, then lasso regression was used to derive four immune cell-specific scores based on association with IHC. In the remaining 620 patient testing cohort, we evaluated association of each immune-cell specific score as outcomes, with body mass index (BMI) change since age 18, physical activity, and the empirical dietary inflammatory pattern (EDIP) score as predictors, using multivariable-adjusted linear regression. Results: Among women with paired expression/IHC data from breast tumor tissue, we identified robust correlation between novel immune cell-specific expression scores and IHC (Spearman’s rho range 0.42-0.54; all p<0.001). BMI change since age 18 was positively associated with CD4+ (β=0.16; SE=0.06; p=0.009), and CD163+ scores (β=0.14; SE=0.07; p=0.04) in multivariable analyses. Neither physical activity nor EDIP were significantly associated with any immune cell-specific expression score in multivariable analyses. Conclusions: BMI change since age 18 was positively associated with novel CD4+ and CD163+ cell scores in breast cancer, supporting further study of the effect of modifiable factors like weight gain on the immune microenvironment.
Citation Format: Daniel G. Stover, Adrienne Damicis, Yujing J. Heng, Katharine A. Collier, Elizabeth J. Adams, Kevin H. Kensler, Gabrielle M. Baker, Robert Wesolowski, Sagar Sardesai, Margaret Gatti-Mays, Bhuvaneswari Ramaswamy, A. Heather Eliassen, Susan E. Hankinson, Fred K. Tabung, Rulla M. Tamimi, Sarah Asad. Association of body mass index and inflammatory dietary pattern with breast cancer pathologic and genomic immunophenotype in the nurses’ health study [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr PD9-11.
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Affiliation(s)
| | | | - Yujing J. Heng
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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22
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Wang T, Heng YJ, Baker GM, Bret-Mounet VC, Hankinson SE, Holmes MD, Chen WY, Willett WC, Rosner BA, Tamimi RM, Eliassen AH. Abstract P3-12-02: Loss of PTEN expression, PIK3CA mutations, and breast cancer survival in the Nurses’ health studies. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p3-12-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: PTEN loss and/or PIK3CA mutation are hypothesized to predict more aggressive tumor behavior and worse outcomes in women with breast cancer. However, the results of previous studies with small sample size have been conflicting. Methods: We followed pre- and postmenopausal women with invasive breast cancer from the Nurses’ Health Study (diagnosed 1976-2011) and Nurses’ Health Study II (1989-2011) with data available on PTEN cytoplasmic expression (n=4316, breast cancer-specific deaths=777) and/or PIK3CA mutation (n=2930, breast cancer-specific deaths=317). PTEN protein expression was evaluated by immunohistochemistry and scored as a digitally quantified continuous measure (1-100%). Polymerase chain reaction and pyrosequencing of six hot spot mutations of PIK3CA were performed on DNA extracted from formalin-fixed paraffin-embedded tumors. Information on other covariates was self-reported at baseline and repeatedly measured with follow-up questionnaires every two to four years. Multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between loss of PTEN expression and/or PIK3CA mutation and breast cancer-specific mortality were estimated using Cox proportional hazards regression models. Results: In this large epidemiological study, the loss of tumor cell PTEN cytoplasmic staining expression (≤10%) occurred in 17.6% of cases, and the overall mutation of PIK3CA occurred in 10.8% of cases. After adjusting for tumor characteristics, treatment, and lifestyle factors, the loss of PTEN expression (versus expression >10%) was not associated with worse breast cancer survival among overall samples (HR =0.85; 95%CI=0.71-1.03) and among estrogen receptor (ER)-positive tumors (HR =1.11; 95%CI=0.84-1.47). However, among women with ER-negative tumors, PTEN expression loss was strongly associated with lower breast cancer mortality (HR =0.68; 95%CI=0.48-0.96). Overall mutation status of PIK3CA was not associated with breast cancer mortality (HR =1.06; 95%CI=0.78-1.45). Combining PTEN and PIK3CA status, compared with tumors without PTEN loss and without PIK3CA mutation (wild type), those with PTEN loss and/or PIK3CA mutation were not at higher risk (HR =1.05; 95%CI=0.85-1.32). However, women with PTEN loss and PIK3CA mutation jointly (n=39, breast cancer-specific deaths=15) had increased breast cancer mortality (HR =2.05; 95%CI=1.07-3.94). Conclusion: This study is the largest to date examining PTEN and PIK3CA status and breast cancer survival, in which we found that the prognostic value of PTEN status differed by ER status, and the joint status of PTEN loss of expression and PIK3CA mutation was associated with worse breast cancer survival.
Citation Format: Tengteng Wang, Yujing J Heng, Gabrielle M Baker, Vanessa C Bret-Mounet, Susan E Hankinson, Michelle D Holmes, Wendy Y. Chen, Walter C. Willett, Bernard A. Rosner, Rulla M Tamimi, A. Heather Eliassen. Loss of PTEN expression, PIK3CA mutations, and breast cancer survival in the Nurses’ health studies [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-12-02.
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Affiliation(s)
- Tengteng Wang
- Brigham and Women's Hospital and Harvard Medical School, and Harvard T. H. Chan School of Public Health, Boston, MA
| | | | | | | | - Susan E Hankinson
- University of Massachusetts Amherst School of Public Health and Health Sciences, Amherst, MA
| | - Michelle D Holmes
- Brigham and Women's Hospital and Harvard Medical School, and Harvard T. H. Chan School of Public Health, Boston, MA
| | - Wendy Y. Chen
- Dana-Farber Cancer Institute, and Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Walter C. Willett
- Brigham and Women's Hospital and Harvard Medical School, and Harvard T. H. Chan School of Public Health, Boston, MA
| | - Bernard A. Rosner
- Brigham and Women's Hospital and Harvard Medical School, and Harvard T. H. Chan School of Public Health, Boston, MA
| | - Rulla M Tamimi
- Weill Cornell Medicine and Harvard T. H. Chan School of Public Health, Boston, MA
| | - A. Heather Eliassen
- Brigham and Women's Hospital and Harvard Medical School, and Harvard T. H. Chan School of Public Health, Boston, MA
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Holder EX, Houghton SC, Sanchez SS, Eliassen AH, Qian J, Bertone-Johnson ER, Liu Z, Tworoger SS, Smith MT, Hankinson SE. Estrogenic activity and risk of invasive breast cancer among postmenopausal women in the Nurses' Health Study. Cancer Epidemiol Biomarkers Prev 2022; 31:831-838. [DOI: 10.1158/1055-9965.epi-21-1157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 12/13/2021] [Accepted: 01/25/2022] [Indexed: 11/16/2022] Open
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Grimes NP, Whitcomb BW, Reeves KW, Sievert LL, Purdue-Smithe A, Manson JE, Hankinson SE, Rosner BA, Bertone-Johnson ER. The association of parity and breastfeeding with anti-Müllerian hormone levels at two time points. Maturitas 2022; 155:1-7. [PMID: 34876244 PMCID: PMC8665225 DOI: 10.1016/j.maturitas.2021.09.006] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 09/08/2021] [Accepted: 09/17/2021] [Indexed: 01/03/2023]
Abstract
OBJECTIVE To evaluate the association between parity and breastfeeding and anti-Müllerian hormone levels (AMH) and change in AMH levels over time. Furthermore, we examined whether AMH levels mediate the relation of parity and breastfeeding with age at menopause. STUDY DESIGN Observational, prospective cohort study. MAIN OUTCOME MEASURES AMH levels were assessed in a subset of premenopausal participants in the Nurses' Health Study II, including 1619 women who provided a blood sample in 1996-1999 and an additional 800 women who provided a second premenopausal sample in 2010-2012. RESULTS In multivariable linear regression models adjusted for parity, body mass index, smoking, and other factors, mean log AMH levels in 1996-1999 were 39% higher in women reporting ≥25 months of total breastfeeding vs. <1 month (P for trend = 0.009). Parity was not associated with AMH levels after adjustment for breastfeeding. Neither parity nor breastfeeding was associated with decline in AMH levels over 11 to 15 years. Breastfeeding duration was positively associated with age at menopause (P for trend = 0.01), with evidence that the association was mediated via AMH. CONCLUSIONS Our results suggest that breastfeeding is associated with higher AMH levels and later onset of menopause, and support the hypothesis that observed relations of parity with AMH levels and menopause timing may be largely attributable to breastfeeding.
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Affiliation(s)
- Nydjie P Grimes
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003, USA.
| | - Brian W Whitcomb
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Katherine W Reeves
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Lynnette L Sievert
- Department of Anthropology, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Alexandra Purdue-Smithe
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20892, USA
| | - JoAnn E Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Bernard A Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Elizabeth R Bertone-Johnson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003, USA; Department of Health Promotion and Policy, University of Massachusetts Amherst, Amherst, MA 01003, USA
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Cheng E, Lee DH, Tamimi RM, Hankinson SE, Willett WC, Giovannucci EL, Eliassen AH, Stampfer MJ, Mucci LA, Fuchs CS, Spiegelman D. OUP accepted manuscript. JNCI Cancer Spectr 2022; 6:6544595. [PMID: 35603853 PMCID: PMC8973409 DOI: 10.1093/jncics/pkac021] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 03/25/2021] [Revised: 07/27/2021] [Accepted: 10/25/2021] [Indexed: 11/13/2022] Open
Abstract
Background Methods Results Conclusions
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Affiliation(s)
- En Cheng
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Dong Hoon Lee
- Department of Nutrition, Harvard T.H. School of Public Health, Boston, MA, USA
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. 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
- Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Susan E Hankinson
- Department of Epidemiology, Harvard T.H. 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
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. 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
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. 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
| | - Meir J Stampfer
- Department of Nutrition, Harvard T.H. School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. 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
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T.H. 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
| | - Charles S Fuchs
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Yale Cancer Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - Donna Spiegelman
- Yale Cancer Center, Smilow Cancer Hospital, New Haven, CT, USA
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Center for Methods in Implementation and Prevention Science, Yale School of Public Health, New Haven, CT, USA
- Correspondence to: Donna Spiegelman, ScD, Department of Biostatistics, Yale School of Public Health, 60 College St, New Haven, CT 06520, USA (e-mail: )
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Langton CR, Whitcomb BW, Purdue-Smithe AC, Sievert LL, Hankinson SE, Manson JE, Rosner BA, Bertone-Johnson ER. Association of oral contraceptives and tubal ligation with antimüllerian hormone. Menopause 2021; 29:225-230. [PMID: 34873106 PMCID: PMC8795476 DOI: 10.1097/gme.0000000000001905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Oral contraceptives (OCs) and tubal ligation are commonly used methods of contraception that may impact ovarian function. Few studies have examined the association of these factors with antimüllerian hormone (AMH), a marker of ovarian aging. METHODS We examined the association of OC use and tubal ligation with AMH in the Nurses' Health Study II prospective cohort among a subset of 1,420 premenopausal participants who provided a blood sample in 1996-1999. History of OC use and tubal ligation were reported in 1989 and updated every 2 years until blood collection. We utilized generalized linear models to assess whether mean AMH levels varied by duration of and age at first use of OCs and history, age, and type of tubal ligation. RESULTS In multivariable models adjusted for smoking, reproductive events, and other lifestyle factors, we observed a significant, inverse association between duration of OC use and mean AMH levels (P for trend = 0.036). Compared to women without a tubal ligation, AMH levels were significantly lower when the procedure included a clip, ring, or band (1.04 ng/ml vs 1.72 ng/ml, P < 0.01). AMH levels were not associated with age at first use of OCs or age at tubal ligation. CONCLUSIONS Our analysis found an association between duration of OC use and certain types of tubal ligation with mean AMH levels. Further research is warranted to confirm the long-term association of these widely used contraceptive methods with AMH.
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Affiliation(s)
- Christine R. Langton
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA
| | - Brian W. Whitcomb
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA
| | - Alexandra C. Purdue-Smithe
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Lynnette L. Sievert
- Department of Anthropology, University of Massachusetts, Amherst, MA 01003, USA
| | - Susan E. Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - JoAnn E. Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Bernard A. Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Elizabeth R. Bertone-Johnson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA
- Department of Health Promotion and Policy, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA
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Freeman JR, Whitcomb BW, Purdue-Smithe AC, Manson JE, Langton CR, Hankinson SE, Rosner BA, Bertone-Johnson ER. Is Alcohol Consumption Associated With Risk of Early Menopause? Am J Epidemiol 2021; 190:2612-2617. [PMID: 34216210 DOI: 10.1093/aje/kwab182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 06/12/2021] [Accepted: 06/16/2021] [Indexed: 11/13/2022] Open
Abstract
Earlier age at menopause is associated with increased long-term health risks. Moderate alcohol intake has been suggested to delay menopause onset, but it is unknown whether alcohol subtypes are associated with early menopause onset at age 45 years. Therefore, we aimed to evaluate risk of early natural menopause among 107,817 members of the Nurses' Health Study II who were followed from 1989 to 2011. Alcohol consumption overall and by subtypes, including beer, red wine, white wine, and liquor, was assessed throughout follow-up. We estimated hazard ratios in multivariable models that were adjusted for age, body mass index, parity, smoking, and other potential confounders. Women who reported moderate current alcohol consumption had lower risks of early menopause than did nondrinkers. Those who reported consuming 10.0-14.9 g/day had a lower risk of early menopause than did nondrinkers (hazard ratio = 0.81, 95% confidence interval: 0.68, 0.97). Among specific beverages, evidence of lower early menopause risk was confined to consumption of white wine and potentially red wine and liquor, but not to beer. Data from this large prospective study suggest a weak association of moderate alcohol intake with lower risk of early menopause, which was most pronounced for consumption of white and red wine and liquor. High consumption was not related to lower risk of early menopause.
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Shutta KH, Balasubramanian R, Huang T, Jha SC, Zeleznik OA, Kroenke CH, Tinker LF, Smoller JW, Casanova R, Tworoger SS, Manson JE, Clish CB, Rexrode KM, Hankinson SE, Kubzansky LD. Plasma metabolomic profiles associated with chronic distress in women. Psychoneuroendocrinology 2021; 133:105420. [PMID: 34597898 PMCID: PMC8547060 DOI: 10.1016/j.psyneuen.2021.105420] [Citation(s) in RCA: 3] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 09/10/2021] [Accepted: 09/12/2021] [Indexed: 11/19/2022]
Abstract
Several forms of chronic distress including anxiety and depression are associated with adverse cardiometabolic outcomes. Metabolic alterations may underlie these associations. Whether these forms of distress are associated with metabolic alterations even after accounting for comorbid conditions and other factors remains unclear. Using an agnostic approach, this study examines a broad range of metabolites in relation to chronic distress among women. For this cross-sectional study of chronic distress and 577 plasma metabolites, data are from different substudies within the Women's Health Initiative (WHI) and Nurses' Health Studies (NHSI, NHSII). Chronic distress was characterized by depressive symptoms and other depression indicators in the WHI and NHSII substudies, and by combined indicators of anxiety and depressive symptoms in the NHSI substudy. We used a two-phase discovery-validation framework, with WHI (N = 1317) and NHSII (N = 218) substudies in the discovery phase (identifying metabolites associated with distress) and NHSI (N = 558) substudy in the validation phase. A differential network analysis provided a systems-level assessment of metabolomic alterations under chronic distress. Analyses adjusted for potential confounders and mediators (demographics, comorbidities, medications, lifestyle factors). In the discovery phase, 46 metabolites were significantly associated with depression measures. In validation, six of these metabolites demonstrated significant associations with chronic distress after adjustment for potential confounders. Among women with high distress, we found lower gamma-aminobutyric acid (GABA), threonine, biliverdin, and serotonin and higher C16:0 ceramide and 3-methylxanthine. Our findings suggest chronic distress is associated with metabolomic alterations and provide specific targets for future study of biological pathways in chronic diseases.
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Affiliation(s)
- Katherine H Shutta
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, 010 Arnold House, 715 North Pleasant Street, Amherst, MA 01003, USA.
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, 010 Arnold House, 715 North Pleasant Street, Amherst, MA 01003, USA.
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Shaili C Jha
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Candyce H Kroenke
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Jordan W Smoller
- Department of Psychiatry and Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | | | - Shelley S Tworoger
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Cancer Epidemiology, Moffit Cancer Center, Tampa, FL, USA.
| | - JoAnn E Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
| | - Clary B Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
| | - Kathryn M Rexrode
- Harvard Medical School, Boston, MA, USA; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, 010 Arnold House, 715 North Pleasant Street, Amherst, MA 01003, USA.
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Clendenen TV, Ge W, Koenig KL, Afanasyeva Y, Agnoli C, Bertone-Johnson E, Brinton LA, Darvishian F, Dorgan JF, Eliassen AH, Falk RT, Hallmans G, Hankinson SE, Hoffman-Bolton J, Key TJ, Krogh V, Nichols HB, Sandler DP, Schoemaker MJ, Sluss PM, Sund M, Swerdlow AJ, Visvanathan K, Liu M, Zeleniuch-Jacquotte A. Breast Cancer Risk Factors and Circulating Anti-Müllerian Hormone Concentration in Healthy Premenopausal Women. J Clin Endocrinol Metab 2021; 106:e4542-e4553. [PMID: 34157104 PMCID: PMC8530718 DOI: 10.1210/clinem/dgab461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT We previously reported that anti-Müllerian hormone (AMH), a marker of ovarian reserve, is positively associated with breast cancer risk, consistent with other studies. OBJECTIVE This study assessed whether risk factors for breast cancer are correlates of AMH concentration. METHODS This cross-sectional study included 3831 healthy premenopausal women (aged 21-57, 87% aged 35-49) from 10 cohort studies among the general population. RESULTS Adjusting for age and cohort, AMH positively associated with age at menarche (P < 0.0001) and parity (P = 0.0008) and inversely associated with hysterectomy/partial oophorectomy (P = 0.0008). Compared with women of normal weight, AMH was lower (relative geometric mean difference 27%, P < 0.0001) among women who were obese. Current oral contraceptive (OC) use and current/former smoking were associated with lower AMH concentration than never use (40% and 12% lower, respectively, P < 0.0001). We observed higher AMH concentrations among women who had had a benign breast biopsy (15% higher, P = 0.03), a surrogate for benign breast disease, an association that has not been reported. In analyses stratified by age (<40 vs ≥40), associations of AMH with body mass index and OCs were similar in younger and older women, while associations with the other factors (menarche, parity, hysterectomy/partial oophorectomy, smoking, and benign breast biopsy) were limited to women ≥40 (P-interaction < 0.05). CONCLUSION This is the largest study of AMH and breast cancer risk factors among women from the general population (not presenting with infertility), and it suggests that most associations are limited to women over 40, who are approaching menopause and whose AMH concentration is declining.
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Affiliation(s)
- Tess V Clendenen
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Wenzhen Ge
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Karen L Koenig
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Yelena Afanasyeva
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy
| | - Elizabeth Bertone-Johnson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Farbod Darvishian
- Pathology, New York University School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
| | - Joanne F Dorgan
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, and Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Roni T Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Göran Hallmans
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, and Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Judith Hoffman-Bolton
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy
| | - Hazel B Nichols
- Department of Epidemiology, University of North Carolina, Chapel Hill; NC, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Patrick M Sluss
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Malin Sund
- Department of Surgery, Umeå University Hospital, Umeå, Sweden
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Sidney Kimmel Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Mengling Liu
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
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30
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Hathaway CA, Rice MS, Townsend MK, Hankinson SE, Arslan AA, Buring JE, Hallmans G, Idahl A, Kubzansky LD, Lee IM, Lundin EA, Sluss PM, Zeleniuch-Jacquotte A, Tworoger SS. Prolactin and Risk of Epithelial Ovarian Cancer. Cancer Epidemiol Biomarkers Prev 2021; 30:1652-1659. [PMID: 34244157 DOI: 10.1158/1055-9965.epi-21-0139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 04/02/2021] [Accepted: 06/17/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Prolactin is synthesized in the ovaries and may play a role in ovarian cancer etiology. One prior prospective study observed a suggestive positive association between prolactin levels and risk of ovarian cancer. METHODS We conducted a pooled case-control study of 703 cases and 864 matched controls nested within five prospective cohorts. We used unconditional logistic regression to calculate adjusted odds ratios (OR) and 95% confidence intervals (CI) for the association between prolactin and ovarian cancer risk. We examined heterogeneity by menopausal status at blood collection, body mass index (BMI), age, and histotype. RESULTS Among women with known menopausal status, we observed a positive trend in the association between prolactin and ovarian cancer risk (P trend = 0.045; OR, quartile 4 vs. 1 = 1.34; 95% CI = 0.97-1.85), but no significant association was observed for premenopausal or postmenopausal women individually (corresponding OR = 1.38; 95% CI = 0.74-2.58; P trend = 0.32 and OR = 1.41; 95% CI = 0.93-2.13; P trend = 0.08, respectively; P heterogeneity = 0.91). In stratified analyses, we observed a positive association between prolactin and risk for women with BMI ≥ 25 kg/m2, but not BMI < 25 kg/m2 (corresponding OR = 2.68; 95% CI = 1.56-4.59; P trend < 0.01 and OR = 0.90; 95% CI = 0.58-1.40; P trend = 0.98, respectively; P heterogeneity < 0.01). Associations did not vary by age, postmenopausal hormone therapy use, histotype, or time between blood draw and diagnosis. CONCLUSIONS We found a trend between higher prolactin levels and increased ovarian cancer risk, especially among women with a BMI ≥ 25 kg/m2. IMPACT This work supports a previous study linking higher prolactin with ovarian carcinogenesis in a high adiposity setting. Future work is needed to understand the mechanism underlying this association.
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Affiliation(s)
| | - Megan S Rice
- Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Mary K Townsend
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, Massachusetts
| | - Alan A Arslan
- Department of Obstetrics and Gynecology, New York University Langone Health, New York, New York.,Department of Population Health, New York University Langone Health, New York, New York.,NYU Perlmutter Comprehensive Cancer Center, New York, New York
| | - Julie E Buring
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Göran Hallmans
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Annika Idahl
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
| | - Laura D Kubzansky
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - I-Min Lee
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Eva A Lundin
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
| | - Patrick M Sluss
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University Langone Health, New York, New York.,NYU Perlmutter Comprehensive Cancer Center, New York, New York
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida. .,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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31
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Langton CR, Whitcomb BW, Purdue-Smithe AC, Sievert LL, Hankinson SE, Manson JE, Rosner BA, Bertone-Johnson ER. Association of oral contraceptives and tubal ligation with risk of early natural menopause. Hum Reprod 2021; 36:1989-1998. [PMID: 33822044 DOI: 10.1093/humrep/deab054] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 09/21/2020] [Revised: 02/15/2021] [Indexed: 01/03/2023] Open
Abstract
STUDY QUESTION What is the association of oral contraceptives (OCs) and tubal ligation (TL) with early natural menopause? SUMMARY ANSWER We did not observe an association of OC use with risk of early natural menopause; however, TL was associated with a modestly higher risk. WHAT IS KNOWN ALREADY OCs manipulate hormone levels, prevent ovulation, and may modify the rate of follicular atresia, while TL may disrupt the blood supply to the ovaries. These mechanisms may be associated with risk of early menopause, a condition associated with increased risk of cardiovascular disease and other adverse health outcomes. STUDY DESIGN, SIZE, DURATION We examined the association of OC use and TL with natural menopause before the age of 45 years in a population-based study within the prospective Nurses' Health Study II (NHSII) cohort. Participants were followed from 1989 to 2017 and response rates were 85-90% for each cycle. PARTICIPANTS/MATERIALS, SETTING, METHODS Participants included 106 633 NHSII members who were premenopausal and aged 25-42 years at baseline. Use, duration and type of OC, and TL were measured at baseline and every 2 years. Menopause status and age were assessed every 2 years. Follow-up continued until early menopause, age 45 years, hysterectomy, oophorectomy, death, cancer diagnosis, or loss to follow-up. We used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% CIs adjusted for lifestyle, dietary, and reproductive factors. MAIN RESULTS AND THE ROLE OF CHANCE Over 1.6 million person-years, 2579 members of the analytic cohort experienced early natural menopause. In multivariable models, the duration, timing, and type of OC use were not associated with risk of early menopause. For example, compared with women who never used OCs, those reporting 120+ months of OC use had an HR for early menopause of 1.01 (95% CI, 0.87-1.17; P for trend=0.71). TL was associated with increased risk of early menopause (HR = 1.17, 95% CI, 1.06-1.28). LIMITATIONS, REASONS FOR CAUTION Our study population is homogenous with respect to race and ethnicity. Additional evaluation of these relations in more diverse populations is important. WIDER IMPLICATIONS OF THE FINDINGS To our knowledge, this is the largest study examining the association of OC use and TL with early natural menopause to date. While TL was associated with a modest higher risk of early menopause, our findings do not support any material hazard or benefit for the use of OCs. STUDY FUNDING/COMPETING INTEREST(S) The study was sponsored by UO1CA176726 and R01HD078517 from the National Institutes of Health and Department of Health and Human Services. The work was supported by the Intramural Research Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development. The authors have no competing interests to report. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- C R Langton
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA
| | - B W Whitcomb
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA
| | - A C Purdue-Smithe
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20892, USA
| | - L L Sievert
- Department of Anthropology, University of Massachusetts, Amherst, MA 01003, USA
| | - S E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - J E Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.,Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA
| | - B A Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - E R Bertone-Johnson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA.,Department of Health Promotion and Policy, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA
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32
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Houghton SC, Eliassen H, Tamimi RM, Willett WC, Rosner BA, Hankinson SE. Central Adiposity and Subsequent Risk of Breast Cancer by Menopause Status. J Natl Cancer Inst 2021; 113:900-908. [PMID: 33367714 PMCID: PMC8491796 DOI: 10.1093/jnci/djaa197] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [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: 05/19/2020] [Revised: 08/25/2020] [Accepted: 12/01/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Increased body mass index (BMI) is associated with higher postmenopausal breast cancer risk and lower premenopausal breast cancer risk. Less is known about the central adiposity-breast cancer risk association, particularly for tumor subtypes. METHODS We used prospective waist (WC) and hip circumference (HC) measures in the Nurses' Health Studies. We examined associations of WC, HC, and waist-to-hip ratio (WHR) with breast cancer independent of BMI, by menopausal status. Cox proportional hazards models estimated the hazard ratios (HRs) and 95% confidence intervals (CIs) adjusting for breast cancer risk factors, with and without BMI. RESULTS Adjusting for BMI, WC and HC were not associated, and WHR was positively associated with premenopausal breast cancer risk (WHR, quintile 5 vs 1: HRQ5vQ1, BMI-adjusted = 1.27, 95% CI = 1.04 to 1.54; Ptrend = .01), particularly for estrogen receptor-negative (ER-) and progesterone receptor-negative (PR-) and basal-like breast cancers. Premenopausal WC, HC, and WHR were not associated with postmenopausal breast cancer risk, with or without BMI adjustment. Postmenopausal WC, HC, and WHR were each positively associated with postmenopausal breast cancer (eg, WC HRQ5vsQ1 = 1.59, 95% CI = 1.36 to 1.86); after adjustment for BMI, only WC remained statistically significant (HRQ5vsQ1, BMI-adjusted = 1.38, 95% CI = 1.15 to 1.64; Ptrend = .002). In postmenopausal women, associations were stronger among never-users of hormone therapy and for ER+/PR+ breast cancers. CONCLUSIONS Central adiposity was positively associated with pre- and postmenopausal breast cancers independent of BMI. This suggests that mechanisms other than estrogen may also play a role in the relationship between central adiposity and breast cancer. Maintaining a healthy waist circumference may decrease pre- and postmenopausal breast cancer risk.
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Affiliation(s)
- Serena C Houghton
- Department of Biostatistics and Epidemiology,
University of Massachusetts Amherst, Amherst, MA, USA
| | - Heather Eliassen
- Channing Division of Network Medicine, Brigham and
Women’s Hospital and Harvard Medical School, Boston, MA,
USA
- Department of Epidemiology, Harvard T.H. Chan School
of Public Health, Boston, MA, USA
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School
of Public Health, Boston, MA, USA
- Department of Population Health Sciences, Weill
Cornell Medicine, New York, NY, USA
| | - Walter C Willett
- Channing Division of Network Medicine, Brigham and
Women’s Hospital and Harvard Medical School, Boston, MA,
USA
- Department of Epidemiology, Harvard T.H. Chan School
of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of
Public Health, Boston, MA, USA
| | - Bernard A Rosner
- Channing Division of Network 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
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology,
University of Massachusetts Amherst, Amherst, MA, USA
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33
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Huang T, Balasubramanian R, Yao Y, Clis CB, Shadyab AH, Liu B, Tworoger SS, Rexrode KM, Manson JE, Kubzansky LD, Hankinson SE. Associations of depression status with plasma levels of candidate lipid and amino acid metabolites: a meta-analysis of individual data from three independent samples of US postmenopausal women. Mol Psychiatry 2021; 26:3315-3327. [PMID: 32859999 PMCID: PMC7914294 DOI: 10.1038/s41380-020-00870-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 08/04/2020] [Accepted: 08/14/2020] [Indexed: 01/05/2023]
Abstract
Recent animal and small clinical studies have suggested depression is related to altered lipid and amino acid profiles. However, this has not been examined in a population-based sample, particularly in women. We identified multiple metabolites associated with depression as potential candidates from prior studies. Cross-sectional data from three independent samples of postmenopausal women were analyzed, including women from the Women's Health Initiative-Observational Study (WHI-OS, n = 926), the WHI-Hormone Trials (WHI-HT; n = 1,325), and the Nurses' Health Study II Mind-Body Study (NHSII-MBS; n = 218). Positive depression status was defined as having any of the following: elevated depressive symptoms, antidepressant use, or depression history. Plasma metabolites were measured using liquid chromatography-tandem mass spectrometry (21 phosphatidylcholines (PCs), 7 lysophosphatidylethanolamines, 5 ceramides, 3 branched chain amino acids, and 9 neurotransmitters). Associations between depression status and metabolites were evaluated using multivariable linear regression; results were pooled by random-effects meta-analysis with multiple testing adjustment using the false discovery rate (FDR). Prevalence rates of positive depression status were 24.4% (WHI-OS), 25.7% (WHI-HT), and 44.7% (NHSII-MBS). After multivariable adjustment, positive depression status was associated with higher levels of glutamate and PC 36 : 1/38 : 3, and lower levels of tryptophan and GABA-to-glutamate and GABA-to-glutamine ratio (FDR-p < 0.05). Positive associations with LPE 18 : 0/18 : 1 and inverse associations with valine and serotonin were also observed, although these associations did not survive FDR adjustment. Associations of positive depression status with several candidate metabolites including PC 36 : 1/38 : 3 and amino acids involved in neurotransmission suggest potential depression-related metabolic alterations in postmenopausal women, with possible implications for later chronic disease.
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Affiliation(s)
- Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA
| | - Yubing Yao
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA
| | | | - Aladdin H. Shadyab
- Department of Family Medicine and Public Health, University of California San Diego School of Medicine, La Jolla, CA
| | - Buyun Liu
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA
| | - Shelley S. Tworoger
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Kathryn M. Rexrode
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital, Boston, MA,Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - JoAnn E. Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA,Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Susan E. Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA,Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA
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34
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Reeves KW, Vieyra G, Grimes NP, Meliker J, Jackson RD, Wactawski-Wende J, Wallace R, Zoeller RT, Bigelow C, Hankinson SE, Manson JE, Cauley JA, Calafat AM. Urinary Phthalate Biomarkers and Bone Mineral Density in Postmenopausal Women. J Clin Endocrinol Metab 2021; 106:e2567-e2579. [PMID: 33754148 PMCID: PMC8266434 DOI: 10.1210/clinem/dgab189] [Citation(s) in RCA: 4] [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] [Received: 02/01/2021] [Revised: 03/01/2021] [Indexed: 12/26/2022]
Abstract
CONTEXT Phthalates are endocrine-disrupting chemicals that could disrupt normal physiologic function, triggering detrimental impacts on bone. OBJECTIVE We evaluated associations between urinary phthalate biomarkers and BMD in postmenopausal women participating in the prospective Women's Health Initiative (WHI). METHODS We included WHI participants enrolled in the BMD substudy and selected for a nested case-control study of phthalates and breast cancer (N = 1255). We measured 13 phthalate biomarkers and creatinine in 2 to 3 urine samples per participant collected over 3 years, when all participants were cancer free. Total hip and femoral neck BMD were measured at baseline and year 3, concurrent with urine collection, via dual-energy x-ray absorptiometry. We fit multivariable generalized estimating equation models and linear mixed-effects models to estimate cross-sectional and longitudinal associations, respectively, with stratification on postmenopausal hormone therapy (HT) use. RESULTS In cross-sectional analyses, mono-3-carboxypropyl phthalate and the sum of di-isobutyl phthalate metabolites were inversely associated with total hip BMD among HT nonusers, but not among HT users. Longitudinal analyses showed greater declines in total hip BMD among HT nonusers and with highest concentrations of mono-3-carboxyoctyl phthalate (-1.80%; 95% CI, -2.81% to -0.78%) or monocarboxynonyl phthalate (-1.84%; 95% CI, -2.80% to -0.89%); similar associations were observed with femoral neck BMD. Among HT users, phthalate biomarkers were not associated with total hip or femoral neck BMD change. CONCLUSION Certain phthalate biomarkers are associated with greater percentage decreases in total hip and femoral neck BMD. These findings suggest that phthalate exposure may have clinically important effects on BMD, and potentially fracture risk.
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Affiliation(s)
- Katherine W Reeves
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - Gabriela Vieyra
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - Nydjie P Grimes
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - Jaymie Meliker
- Program in Public Health, Department of Family, Population, & Preventive Medicine, Stony Brook University, Stony Brook, New York 11794, USA
| | - Rebecca D Jackson
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, Ohio 43210, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York 14214, USA
| | - Robert Wallace
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa 52242, USA
| | - R Thomas Zoeller
- Department of Biology, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - Carol Bigelow
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA
| | - Jane A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
| | - Antonia M Calafat
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia 30341, USA
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35
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Houghton SC, Hankinson SE. Cancer Progress and Priorities: Breast Cancer. Cancer Epidemiol Biomarkers Prev 2021; 30:822-844. [PMID: 33947744 DOI: 10.1158/1055-9965.epi-20-1193] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 10/13/2020] [Accepted: 02/19/2021] [Indexed: 12/24/2022] Open
Affiliation(s)
- Serena C Houghton
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts.
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts
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36
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Peng C, Gao C, Lu D, Rosner BA, Zeleznik O, Hankinson SE, Kraft P, Eliassen AH, Tamimi RM. Circulating carotenoids and breast cancer among high-risk individuals. Am J Clin Nutr 2021; 113:525-533. [PMID: 33236056 PMCID: PMC7948839 DOI: 10.1093/ajcn/nqaa316] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [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: 06/16/2020] [Accepted: 10/07/2020] [Indexed: 12/09/2022] Open
Abstract
BACKGROUND Carotenoids represent 1 of few modifiable factors to reduce breast cancer risk. Elucidation of interactions between circulating carotenoids and genetic predispositions or mammographic density (MD) may help inform more effective primary preventive strategies in high-risk populations. OBJECTIVES We tested whether women at high risk for breast cancer due to genetic predispositions or high MD would experience meaningful and greater risk reduction from higher circulating levels of carotenoids in a nested case-control study in the Nurses' Health Studies (NHS and NHSII). METHODS This study included 1919 cases and 1695 controls in a nested case-control study in the NHS and NHSII. We assessed both multiplicative and additive interactions. RR reductions and 95% CIs were calculated using unconditional logistic regressions, adjusting for matching factors and breast cancer risk factors. Absolute risk reductions (ARR) were calculated based on Surveillance, Epidemiology, and End Results incidence rates. RESULTS We showed that compared with women at low genetic risk or low MD, those with higher genetic risk scores or high MD had greater ARRs for breast cancer as circulating carotenoid levels increase (additive P-interaction = 0.05). Among women with a high polygenic risk score, those in the highest quartile of circulating carotenoids had a significant ARR (28.6%; 95% CI, 14.8-42.1%) compared to those in the lowest quartile of carotenoids. For women with a high percentage MD (≥50%), circulating carotenoids were associated with a 37.1% ARR (95% CI, 21.7-52.1%) when comparing the highest to the lowest quartiles of circulating carotenoids. CONCLUSIONS The inverse associations between circulating carotenoids and breast cancer risk appeared to be more pronounced in high-risk women, as defined by germline genetic makeup or MD.
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Affiliation(s)
- Cheng Peng
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Chi Gao
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Donghao Lu
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Bernard A Rosner
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Oana Zeleznik
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - A Heather Eliassen
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
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37
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Kho PF, Amant F, Annibali D, Ashton K, Attia J, Auer PL, Beckmann MW, Black A, Brinton L, Buchanan DD, Chanock SJ, Chen C, Chen MM, Cheng THT, Cook LS, Crous-Bous M, Czene K, De Vivo I, Dennis J, Dörk T, Dowdy SC, Dunning AM, Dürst M, Easton DF, Ekici AB, Fasching PA, Fridley BL, Friedenreich CM, García-Closas M, Gaudet MM, Giles GG, Goode EL, Gorman M, Haiman CA, Hall P, Hankinson SE, Hein A, Hillemanns P, Hodgson S, Hoivik EA, Holliday EG, Hunter DJ, Jones A, Kraft P, Krakstad C, Lambrechts D, Le Marchand L, Liang X, Lindblom A, Lissowska J, Long J, Lu L, Magliocco AM, Martin L, McEvoy M, Milne RL, Mints M, Nassir R, Otton G, Palles C, Pooler L, Proietto T, Rebbeck TR, Renner SP, Risch HA, Rübner M, Runnebaum I, Sacerdote C, Sarto GE, Schumacher F, Scott RJ, Setiawan VW, Shah M, Sheng X, Shu XO, Southey MC, Tham E, Tomlinson I, Trovik J, Turman C, Tyrer JP, Van Den Berg D, Wang Z, Wentzensen N, Xia L, Xiang YB, Yang HP, Yu H, Zheng W, Webb PM, Thompson DJ, Spurdle AB, Glubb DM, O'Mara TA. Mendelian randomization analyses suggest a role for cholesterol in the development of endometrial cancer. Int J Cancer 2021; 148:307-319. [PMID: 32851660 PMCID: PMC7757859 DOI: 10.1002/ijc.33206] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [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: 12/03/2019] [Revised: 05/08/2020] [Accepted: 05/26/2020] [Indexed: 01/14/2023]
Abstract
Blood lipids have been associated with the development of a range of cancers, including breast, lung and colorectal cancer. For endometrial cancer, observational studies have reported inconsistent associations between blood lipids and cancer risk. To reduce biases from unmeasured confounding, we performed a bidirectional, two-sample Mendelian randomization analysis to investigate the relationship between levels of three blood lipids (low-density lipoprotein [LDL] and high-density lipoprotein [HDL] cholesterol, and triglycerides) and endometrial cancer risk. Genetic variants associated with each of these blood lipid levels (P < 5 × 10-8 ) were identified as instrumental variables, and assessed using genome-wide association study data from the Endometrial Cancer Association Consortium (12 906 cases and 108 979 controls) and the Global Lipids Genetic Consortium (n = 188 578). Mendelian randomization analyses found genetically raised LDL cholesterol levels to be associated with lower risks of endometrial cancer of all histologies combined, and of endometrioid and non-endometrioid subtypes. Conversely, higher genetically predicted HDL cholesterol levels were associated with increased risk of non-endometrioid endometrial cancer. After accounting for the potential confounding role of obesity (as measured by genetic variants associated with body mass index), the association between genetically predicted increased LDL cholesterol levels and lower endometrial cancer risk remained significant, especially for non-endometrioid endometrial cancer. There was no evidence to support a role for triglycerides in endometrial cancer development. Our study supports a role for LDL and HDL cholesterol in the development of non-endometrioid endometrial cancer. Further studies are required to understand the mechanisms underlying these findings.
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Affiliation(s)
- Pik-Fang Kho
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Biomedical Science, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Frederic Amant
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University Hospitals KU Leuven, University of Leuven, Leuven, Belgium
| | - Daniela Annibali
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University Hospitals KU Leuven, University of Leuven, Leuven, Belgium
| | - Katie Ashton
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, New South Wales, Australia
- Centre for Information Based Medicine, University of Newcastle, Callaghan, New South Wales, Australia
- Discipline of Medical Genetics, School of Biomedical Sciences and Pharmacy, Faculty of Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - John Attia
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, New South Wales, Australia
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Paul L. Auer
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin
| | - Matthias W. Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Louise Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Daniel D. Buchanan
- Department of Clinical Pathology, The University of Melbourne, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | - Stephen J. Chanock
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Chu Chen
- Epidemiology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Maxine M. Chen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Timothy H. T. Cheng
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Linda S. Cook
- University of New Mexico Health Sciences Center, Albuquerque, New Mexico
- Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
| | - Marta Crous-Bous
- 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
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Sean C. Dowdy
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Mayo Clinic, Rochester, Minnesota
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Matthias Dürst
- Department of Gynaecology, Jena University Hospital - Friedrich Schiller University, Jena, Germany
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Arif B. Ekici
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Peter A. Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, California
| | - Brooke L. Fridley
- Department of Biostatistics, Kansas University Medical Center, Kansas City, Kansas
| | - Christine M. Friedenreich
- Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
| | - Montserrat García-Closas
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Mia M. Gaudet
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Graham G. Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Ellen L. Goode
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, Minnesota
| | - Maggie Gorman
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Susan E. Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Biostatistics & Epidemiology, University of Massachusetts, Amherst, Amherst, Massachusetts
| | - Alexander Hein
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Peter Hillemanns
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Shirley Hodgson
- Department of Clinical Genetics, St George's, University of London, London, UK
| | - Erling A. Hoivik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Elizabeth G. Holliday
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, New South Wales, Australia
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - David J. Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Angela Jones
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Camilla Krakstad
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Diether Lambrechts
- VIB Center for Cancer Biology, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics, University of Leuven, Leuven, Belgium
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Xiaolin Liang
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Cancer Center, Oncology Institute, Warsaw, Poland
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Lingeng Lu
- Chronic Disease Epidemiology, Yale School of Medicine, New Haven, Connecticut
| | - Anthony M. Magliocco
- Department of Anatomic Pathology, Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Lynn Martin
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Mark McEvoy
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Roger L. Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Miriam Mints
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Rami Nassir
- Department of Biochemistry and Molecular Medicine, University of California Davis, Davis, California
| | - Geoffrey Otton
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Claire Palles
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Loreall Pooler
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Tony Proietto
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Timothy R. Rebbeck
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Stefan P. Renner
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Harvey A. Risch
- Chronic Disease Epidemiology, Yale School of Medicine, New Haven, Connecticut
| | - Matthias Rübner
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Ingo Runnebaum
- Department of Gynaecology, Jena University Hospital - Friedrich Schiller University, Jena, Germany
| | - Carlotta Sacerdote
- Center for Cancer Prevention (CPO-Peimonte), Turin, Italy
- Human Genetics Foundation (HuGeF), Turin, Italy
| | - Gloria E. Sarto
- Department of Obstetrics and Gynecology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin
| | - Fredrick Schumacher
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio
| | - Rodney J. Scott
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, New South Wales, Australia
- Discipline of Medical Genetics, School of Biomedical Sciences and Pharmacy, Faculty of Health, University of Newcastle, Callaghan, New South Wales, Australia
- Division of Molecular Medicine, Pathology North, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - V. Wendy Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Xin Sheng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Melissa C. Southey
- Department of Clinical Pathology, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Emma Tham
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska Institutet, Stockholm, Sweden
| | - Ian Tomlinson
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Jone Trovik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Jonathan P. Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - David Van Den Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Lucy Xia
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hannah P. Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Herbert Yu
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Penelope M. Webb
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Deborah J. Thompson
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Amanda B. Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Dylan M. Glubb
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Tracy A. O'Mara
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
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Kensler KH, Liu EZF, Wetstein SC, Onken AM, Luffman CI, Baker GM, Collins LC, Schnitt SJ, Bret-Mounet VC, Veta M, Pluim JPW, Liu Y, Colditz GA, Eliassen AH, Hankinson SE, Tamimi RM, Heng YJ. Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk. Cancer Epidemiol Biomarkers Prev 2020; 29:2358-2368. [PMID: 32917665 DOI: 10.1158/1055-9965.epi-20-0723] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 05/12/2020] [Revised: 07/02/2020] [Accepted: 09/04/2020] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Manual qualitative and quantitative measures of terminal duct lobular unit (TDLU) involution were previously reported to be inversely associated with breast cancer risk. We developed and applied a deep learning method to yield quantitative measures of TDLU involution in normal breast tissue. We assessed the associations of these automated measures with breast cancer risk factors and risk. METHODS We obtained eight quantitative measures from whole slide images from a benign breast disease (BBD) nested case-control study within the Nurses' Health Studies (287 breast cancer cases and 1,083 controls). Qualitative assessments of TDLU involution were available for 177 cases and 857 controls. The associations between risk factors and quantitative measures among controls were assessed using analysis of covariance adjusting for age. The relationship between each measure and risk was evaluated using unconditional logistic regression, adjusting for the matching factors, BBD subtypes, parity, and menopausal status. Qualitative measures and breast cancer risk were evaluated accounting for matching factors and BBD subtypes. RESULTS Menopausal status and parity were significantly associated with all eight measures; select TDLU measures were associated with BBD histologic subtype, body mass index, and birth index (P < 0.05). No measure was correlated with body size at ages 5-10 years, age at menarche, age at first birth, or breastfeeding history (P > 0.05). Neither quantitative nor qualitative measures were associated with breast cancer risk. CONCLUSIONS Among Nurses' Health Studies women diagnosed with BBD, TDLU involution is not a biomarker of subsequent breast cancer. IMPACT TDLU involution may not impact breast cancer risk as previously thought.
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Affiliation(s)
- Kevin H Kensler
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Emily Z F Liu
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Suzanne C Wetstein
- Medical Image Analysis Group, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Allison M Onken
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Christina I Luffman
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Gabrielle M Baker
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Laura C Collins
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Stuart J Schnitt
- Department of Pathology, Harvard Medical School and Brigham and Women's Hospital; Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Vanessa C Bret-Mounet
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Mitko Veta
- Medical Image Analysis Group, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Josien P W Pluim
- Medical Image Analysis Group, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Ying Liu
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine and Alvin J. Siteman Cancer Center, St Louis, Missouri
| | - Graham A Colditz
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine and Alvin J. Siteman Cancer Center, St Louis, Missouri
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Susan E Hankinson
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, Massachusetts
| | - Rulla M Tamimi
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
| | - Yujing J Heng
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
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Schoemaker MJ, Nichols HB, Wright LB, Brook MN, Jones ME, O'Brien KM, Adami H, Baglietto L, Bernstein L, Bertrand KA, Boutron‐Ruault M, Chen Y, Connor AE, Dossus L, Eliassen AH, Giles GG, Gram IT, Hankinson SE, Kaaks R, Key TJ, Kirsh VA, Kitahara CM, Larsson SC, Linet M, Ma H, Milne RL, Ozasa K, Palmer JR, Riboli E, Rohan TE, Sacerdote C, Sadakane A, Sund M, Tamimi RM, Trichopoulou A, Ursin G, Visvanathan K, Weiderpass E, Willett WC, Wolk A, Zeleniuch‐Jacquotte A, Sandler DP, Swerdlow AJ. Adult weight change and premenopausal breast cancer risk: A prospective pooled analysis of data from 628,463 women. Int J Cancer 2020; 147:1306-1314. [PMID: 32012248 PMCID: PMC7365745 DOI: 10.1002/ijc.32892] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [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: 08/20/2019] [Revised: 12/03/2019] [Accepted: 01/03/2020] [Indexed: 12/12/2022]
Abstract
Early-adulthood body size is strongly inversely associated with risk of premenopausal breast cancer. It is unclear whether subsequent changes in weight affect risk. We pooled individual-level data from 17 prospective studies to investigate the association of weight change with premenopausal breast cancer risk, considering strata of initial weight, timing of weight change, other breast cancer risk factors and breast cancer subtype. Hazard ratios (HR) and 95% confidence intervals (CI) were obtained using Cox regression. Among 628,463 women, 10,886 were diagnosed with breast cancer before menopause. Models adjusted for initial weight at ages 18-24 years and other breast cancer risk factors showed that weight gain from ages 18-24 to 35-44 or to 45-54 years was inversely associated with breast cancer overall (e.g., HR per 5 kg to ages 45-54: 0.96, 95% CI: 0.95-0.98) and with oestrogen-receptor(ER)-positive breast cancer (HR per 5 kg to ages 45-54: 0.96, 95% CI: 0.94-0.98). Weight gain from ages 25-34 was inversely associated with ER-positive breast cancer only and weight gain from ages 35-44 was not associated with risk. None of these weight gains were associated with ER-negative breast cancer. Weight loss was not consistently associated with overall or ER-specific risk after adjusting for initial weight. Weight increase from early-adulthood to ages 45-54 years is associated with a reduced premenopausal breast cancer risk independently of early-adulthood weight. Biological explanations are needed to account for these two separate factors.
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Affiliation(s)
- Minouk J. Schoemaker
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUnited Kingdom
| | - Hazel B. Nichols
- Department of EpidemiologyUniversity of North Carolina Gillings School of Global Public HealthChapel HillNC
| | - Lauren B. Wright
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUnited Kingdom
| | - Mark N. Brook
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUnited Kingdom
| | - Michael E. Jones
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUnited Kingdom
| | - Katie M. O'Brien
- Biostatistics and Computational Biology BranchNational Institute of Environmental Health Sciences, National Institutes of HealthDurhamNC
| | - Hans‐Olov Adami
- Department of Medical Epidemiology and Biostatistics (MEB)Karolinska InstitutetStockholmSweden
- Clinical Effectiveness Research GroupInstitute of Health and Society, University of OsloOsloNorway
| | - Laura Baglietto
- Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
| | - Leslie Bernstein
- Department of Population SciencesBeckman Research Institute of City of HopeDuarteCA
| | | | | | - Yu Chen
- Department of Population Health and Perlmutter Cancer CenterNew York University School of MedicineNew YorkNY
| | - Avonne E. Connor
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMD
- Johns Hopkins Sidney Kimmel Comprehensive Cancer CenterBaltimoreMD
| | - Laure Dossus
- Nutrition and Metabolism SectionInternational Agency for Research on CancerLyonFrance
| | - A. Heather Eliassen
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMA
- Channing Division of Network Medicine, Department of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMA
| | - Graham G. Giles
- Cancer Epidemiology and Intelligence DivisionCancer Council VictoriaMelbourneVICAustralia
- Centre for Epidemiology and BiostatisticsSchool of Population and Global Health, The University of MelbourneMelbourneVICAustralia
| | - Inger T. Gram
- Department of Community Medicine, Faculty of Health SciencesUniversity of Tromsø (UiT), The Arctic University of NorwayTromsøNorway
| | - Susan E. Hankinson
- Department of Biostatistics and EpidemiologySchool of Public Health and Health Sciences, University of MassachusettsAmherstMA
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, DKFZHeidelbergGermany
| | - Timothy J. Key
- Nuffield Department of Population HealthUniversity of OxfordOxfordUnited Kingdom
| | | | - Cari M. Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and GeneticsNational Cancer InstituteBethesdaMD
| | - Susanna C. Larsson
- Karolinska Institute, Institute of Environmental MedicineStockholmSweden
| | - Martha Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and GeneticsNational Cancer InstituteBethesdaMD
| | - Huiyan Ma
- Department of Population SciencesBeckman Research Institute of City of HopeDuarteCA
| | - Roger L. Milne
- Cancer Epidemiology and Intelligence DivisionCancer Council VictoriaMelbourneVICAustralia
- Centre for Epidemiology and BiostatisticsSchool of Population and Global Health, The University of MelbourneMelbourneVICAustralia
| | - Kotaro Ozasa
- Radiation Effects Research FoundationHiroshimaJapan
| | | | - Elio Riboli
- School of Public HealthImperial CollegeLondonUnited Kingdom
| | | | - Carlotta Sacerdote
- Unit of Cancer EpidemiologyCittà della Salute e della Scienza University‐Hospital and Center for Cancer Prevention (CPO)TurinItaly
| | | | - Malin Sund
- Department of Surgical and Perioperative SciencesUmeå UniversityUmeåSweden
| | - Rulla M. Tamimi
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMA
- Channing Division of Network Medicine, Department of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMA
| | | | - Giske Ursin
- Cancer Registry of Norway, Institute of Population‐Based Cancer ResearchOsloNorway
- Institute of Basic Medical Sciences, University of OsloOsloNorway
- Department of Preventive MedicineUniversity of Southern CaliforniaLos AngelesCA
| | - Kala Visvanathan
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMD
- Johns Hopkins School of MedicineBaltimoreMD
| | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC)/World Health Organization (WHO)LyonFrance
| | - Walter C. Willett
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMA
- Channing Division of Network Medicine, Department of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMA
| | - Alicja Wolk
- Karolinska Institute, Institute of Environmental MedicineStockholmSweden
- Department of Surgical SciencesUppsala UniversityUppsalaSweden
| | - Anne Zeleniuch‐Jacquotte
- Department of Population Health and Perlmutter Cancer CenterNew York University School of MedicineNew YorkNY
| | - Dale P. Sandler
- Epidemiology BranchNational Institute of Environmental Health Sciences, National Institutes of HealthDurhamNC
| | - Anthony J. Swerdlow
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUnited Kingdom
- Division of Breast Cancer ResearchThe Institute of Cancer ResearchLondonUnited Kingdom
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40
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Peng C, DuPre N, VoPham T, Heng YJ, Baker GM, Rubadue CA, Glass K, Sonawane A, Zeleznik O, Kraft P, Hankinson SE, Eliassen AH, Hart JE, Laden F, Tamimi RM. Low dose environmental radon exposure and breast tumor gene expression. BMC Cancer 2020; 20:695. [PMID: 32723380 PMCID: PMC7385902 DOI: 10.1186/s12885-020-07184-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 10/03/2019] [Accepted: 07/15/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The International Agency for Research on Cancer classified radon and its decay-products as Group-1-human-carcinogens, and with the current knowledge they are linked specifically to lung cancer. Biokinetic models predict that radon could deliver a carcinogenic dose to breast tissue. Our previous work suggested that low-dose radon was associated with estrogen-receptor (ER)-negative breast cancer risk. However, there is limited research to examine the role of radon in breast cancer biology at the tissue level. We aim to understand molecular pathways linking radon exposure with breast cancer biology using transcriptome-wide-gene-expression from breast tumor and normal-adjacent tissues. METHODS Our study included 943 women diagnosed with breast cancer from the Nurses' Health Study (NHS) and NHSII. We estimated cumulative radon concentration for each participant up-to the year of breast cancer diagnosis by linking residential addresses with a radon exposure model. Transcriptome-wide-gene-expression was measured with the Affymetrix-Glue-Human-Transcriptome-Array-3.0 and Human-Transcriptome-Array-2.0. We performed covariate-adjusted linear-regression for individual genes and further employed pathway-analysis. All analyses were conducted separately for tumor and normal-adjacent samples and by ER-status. RESULTS No individual gene was associated with cumulative radon exposure in ER-positive tumor, ER-negative tumor, or ER-negative normal-adjacent tissues at FDR < 5%. In ER-positive normal-adjacent samples, PLCH2-reached transcriptome-wide-significance (FDR < 5%). Gene-set-enrichment-analyses identified 2-upregulated pathways (MAPK signaling and phosphocholine biosynthesis) enriched at FDR < 25% in ER-negative tumors and normal-adjacent tissues, and both pathways have been previously reported to play key roles in ionizing radiation induced tumorigenesis in experimental settings. CONCLUSION Our findings provide insights into the molecular pathways of radon exposure that may influence breast cancer etiology.
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Affiliation(s)
- Cheng Peng
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
| | - Natalie DuPre
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, University of Louisville School of Public Health and Information Science, Louisville, KY, USA
| | - Trang VoPham
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Yujing J Heng
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Cancer Research Institute, Beth Israel Deaconess Cancer Center, Boston, MA, USA
| | - Gabrielle M Baker
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Christopher A Rubadue
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Kimberly Glass
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Abhijeet Sonawane
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Oana Zeleznik
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Susan E Hankinson
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - A Heather Eliassen
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jaime E Hart
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Francine Laden
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Rulla M Tamimi
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
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41
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Kensler KH, Poole EM, Heng YJ, Collins LC, Glass B, Beck AH, Hazra A, Rosner BA, Eliassen AH, Hankinson SE, Winer EP, Brown M, Tamimi RM. Androgen Receptor Expression and Breast Cancer Survival: Results From the Nurses' Health Studies. J Natl Cancer Inst 2020; 111:700-708. [PMID: 30445651 DOI: 10.1093/jnci/djy173] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/10/2018] [Accepted: 08/24/2018] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Hormone receptor signaling is critical in the progression of breast cancers, although the role of the androgen receptor (AR) remains unclear, particularly for estrogen receptor (ER)-negative tumors. This study assessed AR protein expression as a prognostic marker for breast cancer mortality. METHODS This study included 4147 pre- and postmenopausal women with invasive breast cancer from the Nurses' Health Study (diagnosed 1976-2008) and Nurses' Health Study II (1989-2008) cohorts. AR protein expression was evaluated by immunohistochemistry and scored through pathologist review and as a digitally quantified continuous measure. Hazard ratios (HR) and 95% confidence intervals (CI) of breast cancer mortality were estimated from Cox proportional hazards models, adjusting for patient, tumor, and treatment covariates. RESULTS Over a median 16.5 years of follow-up, there were 806 deaths due to breast cancer. In the 7 years following diagnosis, AR expression was associated with a 27% reduction in breast cancer mortality overall (multivariable HR = 0.73, 95% CI = 0.58 to 0.91) a 47% reduction for ER+ cancers (HR = 0.53, 95% CI = 0.41 to 0.69), and a 62% increase for ER- cancers (HR = 1.62, 95% CI = 1.18 to 2.22) (P heterogeneity < .001). A log-linear association was observed between AR expression and breast cancer mortality among ER- cancers (HR = 1.14, 95% CI = 1.02 to 1.26 per each 10% increase in AR), although no log-linear association was observed among ER+ cancers. CONCLUSIONS AR expression was associated with improved prognosis in ER+ tumors and worse prognosis in ER- tumors in the first 5-10 years postdiagnosis. These findings support the continued evaluation of AR-targeted therapies for AR+/ER- breast cancers.
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Affiliation(s)
- Kevin H Kensler
- 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
| | | | - Yujing J Heng
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA.,Harvard Medical School, Boston, MA
| | - Laura C Collins
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA.,Harvard Medical School, Boston, MA
| | | | | | - Aditi Hazra
- Harvard Medical School, Boston, MA.,Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Bernard A Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Harvard Medical School, Boston, MA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - A Heather Eliassen
- 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.,Harvard Medical School, Boston, MA
| | - Susan E Hankinson
- 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.,Harvard Medical School, Boston, MA.,Department of Biostatistics and Epidemiology, University of Massachusetts School of Public Health and Health Sciences, Amherst, MA
| | - Eric P Winer
- Harvard Medical School, Boston, MA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Myles Brown
- Harvard Medical School, Boston, MA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Rulla M Tamimi
- 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.,Harvard Medical School, Boston, MA
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42
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DuPré NC, Heng YJ, Raby BA, Glass K, Hart JE, Chu JH, Askew C, Eliassen AH, Hankinson SE, Kraft P, Laden F, Tamimi RM. Involvement of fine particulate matter exposure with gene expression pathways in breast tumor and adjacent-normal breast tissue. Environ Res 2020; 186:109535. [PMID: 32668536 PMCID: PMC7368092 DOI: 10.1016/j.envres.2020.109535] [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] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 03/18/2020] [Accepted: 04/12/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Fine particulate matter (PM2.5) has been associated with breast cancer specific mortality, particularly for women with Stage I cancer. We examined the biological pathways that are perturbed by PM2.5 exposures by analyzing gene expression measurements from breast tissue specimens. METHODS The Nurses' Health Studies (NHS and NHSII) are prospective cohorts with archival breast tissue specimens from breast cancer cases. Global gene expression data were ascertained with the Affymetrix Glue Human Transcriptome Array 3.0. PM2.5 was estimated using spatio-temporal models linked to participants' home addresses. All analyses were performed separately in tumor (n = 591) and adjacent-normal (n = 497) samples, and stratified by estrogen receptor (ER) status and stage. We used multivariable linear regression, gene-set enrichment analyses (GSEA), and the least squares kernel machine (LSKM) to assess whether 3-year cumulative average pre-diagnosis PM2.5 exposure was associated with breast-tissue gene expression pathways among predominately Stage I and II women (90.7%) and postmenopausal (81.2%) women. Replication samples (tumor, n = 245; adjacent-normal, n = 165) were measured on Affymetrix Human Transcriptome Array (HTA 2.0). RESULTS Overall, no pathways in the tumor area were significantly associated with PM2.5 exposure. Among 272 adjacent-normal samples from Stage I ER-positive women, PM2.5 was associated with perturbations in the oxidative phosphorylation, protein secretion, and mTORC1 signaling pathways (GSEA and LSKM p-values <0.05); however, results were not replicated in a small set of replication samples (n = 80). CONCLUSIONS PM2.5 was generally not associated with breast tissue gene expression though was suggested to perturb oxidative phosphorylation and regulation of proteins and cellular signaling in adjacent-normal breast tissue. More research is needed on the biological role of PM2.5 that influences breast tumor progression.
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Affiliation(s)
- Natalie C DuPré
- Channing Division of Network Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology and Population Health, University of Louisville School of Public Health and Information Sciences, Louisville, KY, USA.
| | - Yujing J Heng
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Benjamin A Raby
- Channing Division of Network Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kimberly Glass
- Channing Division of Network Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
| | - Jaime E Hart
- Channing Division of Network Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jen-Hwa Chu
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Catherine Askew
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - A Heather Eliassen
- Channing Division of Network Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Susan E Hankinson
- Channing Division of Network Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
| | - Francine Laden
- Channing Division of Network Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Rulla M Tamimi
- Channing Division of Network Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Viskochil R, Blankenship JM, Makari-Judson G, Staudenmayer J, Freedson PS, Hankinson SE, Braun B. Metrics of Diabetes Risk Are Only Minimally Improved by Exercise Training in Postmenopausal Breast Cancer Survivors. J Clin Endocrinol Metab 2020; 105:5634043. [PMID: 31745553 DOI: 10.1210/clinem/dgz213] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 11/18/2019] [Indexed: 01/05/2023]
Abstract
CONTEXT Insulin resistance is a risk factor for breast cancer recurrence. How exercise training changes fasting and postglucose insulin resistance in breast cancer survivors is unknown. OBJECTIVE To evaluate exercise-induced changes in postglucose ingestion insulin concentrations, insulin resistance, and their associations with cancer-relevant biomarkers in breast cancer survivors. SETTING The University of Massachusetts Kinesiology Department. PARTICIPANTS 15 postmenopausal breast cancer survivors not meeting the physical activity guidelines (150 min/week of exercise). INTERVENTION A supervised 12-week aerobic exercise program (60 min/day, 3-4 days/week). MAIN OUTCOME MEASURES Postglucose ingestion insulin was determined by peak insulin and area under the insulin curve (iAUC) during a 5-sample oral glucose tolerance test. Insulin sensitivity was estimated from the Matsuda composite insulin sensitivity index (C-ISI). Changes in fitness and body composition were determined from submaximal VO2peak and dual energy X-ray absorptiometry. RESULTS Participants averaged 156.8 ± 16.6 min/week of supervised exercise. Estimated VO2peak significantly increased (+2.8 ± 1.4 mL/kg/min, P < .05) and body weight significantly decreased (-1.1 ± 0.8 kg, P < .05) following the intervention. There were no differences in fasting insulin, iAUC, C-ISI, or peak insulin following the intervention. Insulin was only significantly lower 120 min following glucose consumption (68.8 ± 34.5 vs 56.2 ± 31.9 uU/mL, P < .05), and there was a significant interaction with past/present aromatase inhibitor (AI) use for peak insulin (-11.99 non-AI vs +13.91 AI uU/mL) and iAUC (-24.03 non-AI vs +32.73 AI uU/mL). CONCLUSIONS Exercise training had limited overall benefits on insulin concentrations following glucose ingestion in breast cancer survivors but was strongly influenced by AI use.
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Affiliation(s)
- Richard Viskochil
- Department of Kinesiology, University of Massachusetts, Amherst, MA, US
- Huntsman Cancer Institute, Salt Lake City, UT, US
| | - Jennifer M Blankenship
- Department of Kinesiology, University of Massachusetts, Amherst, MA, US
- Anschutz Medical Center, Denver CO, US
| | - Grace Makari-Judson
- Division of Hematology-Oncology, Baystate Medical Center, Springfield, MA, US
| | - John Staudenmayer
- Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA, US
| | - Patty S Freedson
- Department of Kinesiology, University of Massachusetts, Amherst, MA, US
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst MA, US
| | - Barry Braun
- Department of Kinesiology, University of Massachusetts, Amherst, MA, US
- Department of Health and Exercise Science, Colorado State University, Ft. Collins, CO, US
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44
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Peng C, Heng YJ, Lu D, DuPre NC, Kensler KH, Glass K, Zeleznik OA, Kraft P, Feldman D, Hankinson SE, Rexrode K, Eliassen AH, Tamimi RM. Prediagnostic 25-Hydroxyvitamin D Concentrations in Relation to Tumor Molecular Alterations and Risk of Breast Cancer Recurrence. Cancer Epidemiol Biomarkers Prev 2020; 29:1253-1263. [PMID: 32238406 DOI: 10.1158/1055-9965.epi-19-1217] [Citation(s) in RCA: 3] [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: 10/01/2019] [Revised: 12/12/2019] [Accepted: 03/27/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Although vitamin D inhibits breast tumor growth in experimental settings, the findings from population-based studies remain inconclusive. Our goals were to investigate the association between prediagnostic plasma 25-hydroxyvitamin D [25(OH)D] concentration and breast cancer recurrence in prospective epidemiologic studies and to explore the molecular underpinnings linking 25(OH)D to slower progression of breast cancer in the Nurses' Health Studies (NHS, N = 659). METHODS Plasma 25(OH)D was measured with a high-affinity protein-binding assay and a radioimmunoassay. We profiled transcriptome-wide gene expression in breast tumors using microarrays. Hazard ratios (HR) of breast cancer recurrence were estimated from covariate-adjusted Cox regressions. We examined differential gene expression in association with 25(OH)D and employed pathway analysis. We derived a gene expression score for 25(OH)D, and assessed associations between the score and cancer recurrence. RESULTS Although 25(OH)D was not associated with breast cancer recurrence overall [HR = 0.97; 95% confidence interval (CI), 0.88-1.08], the association varied by estrogen-receptor (ER) status (P interaction = 0.005). Importantly, among ER-positive stage I to III cancers, every 5 ng/mL increase in 25(OH)D was associated with a 13% lower risk of recurrence (HR = 0.87; 95% CI, 0.76-0.99). A null association was observed for ER-negative cancers (HR = 1.07; 95% CI, 0.91-1.27). Pathway analysis identified multiple gene sets that were significantly (FDR < 5%) downregulated in ER-positive tumors of women with high 25(OH)D (≥30 ng/mL), compared with those with low levels (<30 ng/mL). These gene sets are primarily involved in tumor proliferation, migration, and inflammation. 25(OH)D score derived from these gene sets was marginally associated with reduced risk of recurrence in ER-positive diseases (HR = 0.77; 95% CI, 0.59-1.01) in the NHS studies; however no association was noted in METABRIC, suggesting that further refinement is need to improve the generalizability of the score. CONCLUSIONS Our findings support an intriguing line of research for studies to better understand the mechanisms underlying the role of vitamin D in breast tumor progression, particularly for the ER-positive subtype. IMPACT Vitamin D may present a personal-level secondary-prevention strategy for ER-positive breast cancer.
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Affiliation(s)
- Cheng Peng
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
| | - Yujing J Heng
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Donghao Lu
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Natalie C DuPre
- Department of Epidemiology, University of Louisville School of Public Health and Information Science, Louisville, Kentucky
| | - Kevin H Kensler
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kimberly Glass
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - David Feldman
- Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, Massachusetts
| | - Kathryn Rexrode
- Division of Women's Health, Harvard Medical School, Boston, Massachusetts
| | - A Heather Eliassen
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Rulla M Tamimi
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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45
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Heng YJ, Hankinson SE, Wang J, Alexandrov LB, Ambrosone CB, de Andrade VP, Brufsky AM, Couch FJ, King TA, Modugno F, Vachon CM, Eliassen AH, Tamimi RM, Kraft P. The Association of Modifiable Breast Cancer Risk Factors and Somatic Genomic Alterations in Breast Tumors: The Cancer Genome Atlas Network. Cancer Epidemiol Biomarkers Prev 2020; 29:599-605. [PMID: 31932411 PMCID: PMC7060119 DOI: 10.1158/1055-9965.epi-19-1087] [Citation(s) in RCA: 5] [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] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 12/03/2019] [Accepted: 01/07/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The link between modifiable breast cancer risk factors and tumor genomic alterations remains largely unexplored. We evaluated the association of prediagnostic body mass index (BMI), cigarette smoking, and alcohol consumption with somatic copy number variation (SCNV), total somatic mutation burden (TSMB), seven single base substitution (SBS) signatures (SBS1, SBS2, SBS3, SBS5, SBS13, SBS29, and SBS30), and nine driver mutations (CDH1, GATA3, KMT2C, MAP2K4, MAP3K1, NCOR1, PIK3CA, RUNX1, and TP53) in a subset of The Cancer Genome Atlas (TCGA). METHODS Clinical and genomic data were retrieved from the TCGA database. Risk factor information was collected from four TCGA sites (n = 219 women), including BMI (1 year before diagnosis), cigarette smoking (smokers/nonsmokers), and alcohol consumption (current drinkers/nondrinkers). Multivariable regression analyses were conducted in all tumors and stratified according to estrogen receptor (ER) status. RESULTS Increasing BMI was associated with increasing SCNV in all women (P = 0.039) and among women with ER- tumors (P = 0.031). Smokers had higher SCNV and TSMB versus nonsmokers (P < 0.05 all women). Alcohol drinkers had higher SCNV versus nondrinkers (P < 0.05 all women and among women with ER+ tumors). SBS3 (defective homologous recombination-based repair) was exclusively found in alcohol drinkers with ER- disease. GATA3 mutation was more likely to occur in women with higher BMI. No association was significant after multiple testing correction. CONCLUSIONS This study provides preliminary evidence that BMI, cigarette smoking, and alcohol consumption can influence breast tumor biology, in particular, DNA alterations. IMPACT This study demonstrates a link between modifiable breast cancer risk factors and tumor genomic alterations.
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Affiliation(s)
- Yujing J Heng
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
- Cancer Research Institute, Beth Israel Deaconess Cancer Center, Boston, Massachusetts
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts
| | - Jun Wang
- Department of Preventive Medicine, University of Southern California, Los Angeles, California
| | - Ludmil B Alexandrov
- Departments of Cellular and Molecular Medicine, and Bioengineering, University of California, San Diego, California
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | - Adam M Brufsky
- Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Tari A King
- Dana-Farber/Brigham and Women's Cancer Center, Boston, Massachusetts
| | - Francesmary Modugno
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Celine M Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Rulla M Tamimi
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Peter Kraft
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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Abstract
Background and Purpose- Although exogenous hormone therapy (HT) use has been associated with increased risk of ischemic stroke in postmenopausal women, it remains unknown whether sex hormone levels contribute to ischemic stroke risk. We aimed to estimate associations between plasma sex hormone levels and ischemic stroke risk, by HT status, in a nested case-control study of postmenopausal women from the NHS (Nurses' Health Study). Methods- Women with confirmed incident ischemic stroke (n=419) were matched with controls (n=419) by age, HT use, and other factors. Plasma estradiol and testosterone levels were measured using liquid chromatography tandem mass spectrometry; SHBG (sex hormone-binding globulin) was assayed by electrochemiluminescence immunoassay. Associations of total and free estradiol and testosterone, the estradiol/testosterone ratio, and SHBG with ischemic stroke were estimated using conditional logistic regressions stratified by HT status with adjustment for matching and cardiovascular risk factors. Results- Current HT users had different hormone profiles from never/past users. No clear linear trends were observed between estradiol (total or free) levels or the estradiol/testosterone ratio and ischemic stroke risk among either current users (Ptrend>0.1) or never/past users (Ptrend>0.6). For both current and never/past users, the associations between some of the sex hormones and ischemic stroke differed by body mass index categories (Pinteraction≤0.04). For women with a body mass index <25 kg/m2, a higher estradiol/testosterone ratio was associated with significantly elevated ischemic stroke risk among current users (Ptrend=0.01), and higher levels of total and free estradiol were significantly associated with higher ischemic stroke risk among never/past users (Ptrend≤0.04). Testosterone and SHBG were not associated with ischemic stroke in either current or never/past users. Conclusions- Our findings do not support a role of sex hormone levels in mediating ischemic stroke risk among postmenopausal women. Replications in additional larger studies are required.
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Affiliation(s)
- Jie Hu
- From the Division of Women's Health (J.H., M.C.J., K.M.R.), Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Jennifer H Lin
- Division of Preventive Medicine (J.H.L., M.C.J., J.E.M., K.M.R.), Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Monik C Jiménez
- From the Division of Women's Health (J.H., M.C.J., K.M.R.), Department of Medicine, Brigham and Women's Hospital, Boston, MA.,Division of Preventive Medicine (J.H.L., M.C.J., J.E.M., K.M.R.), Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - JoAnn E Manson
- Division of Preventive Medicine (J.H.L., M.C.J., J.E.M., K.M.R.), Department of Medicine, Brigham and Women's Hospital, Boston, MA.,Channing Division of Network Medicine (J.E.M., S.E.H.), Department of Medicine, Brigham and Women's Hospital, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (J.E.M., S.E.H.)
| | - Susan E Hankinson
- Channing Division of Network Medicine (J.E.M., S.E.H.), Department of Medicine, Brigham and Women's Hospital, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (J.E.M., S.E.H.).,Department of Biostatistics and Epidemiology, School of Public Health and Health Science, University of Massachusetts Amherst (S.E.H.)
| | - Kathryn M Rexrode
- From the Division of Women's Health (J.H., M.C.J., K.M.R.), Department of Medicine, Brigham and Women's Hospital, Boston, MA.,Division of Preventive Medicine (J.H.L., M.C.J., J.E.M., K.M.R.), Department of Medicine, Brigham and Women's Hospital, Boston, MA
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Heng YJ, Hankinson SE, Wang J, Alexandrov LB, Ambrosone CB, de Andrade VP, Brufsky AM, Couch FJ, King TA, Modugno F, Vachon CM, Eliassen AH, Tamimi RM, Kraft P. Abstract P5-08-07: Tobacco use, alcohol consumption, and breast cancer somatic genomic alterations. Cancer Res 2020. [DOI: 10.1158/1538-7445.sabcs19-p5-08-07] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Understanding the molecular influence of epidemiological risk factors can provide insights into breast cancer etiology and progression, and lead to better prevention efforts and treatment guidelines. The link between modifiable breast cancer risk factors and tumor genomic alterations remains unexplored. This study evaluated the association of tobacco use and alcohol consumption with somatic copy number variation (SCNV), total somatic mutation burden (TSMB), seven single base substitution (SBS) signatures (SBS1, SBS2, SBS3, SBS5, SBS13, SBS29, and SBS30) (1-3), and nine breast cancer driver mutations (CDH1, GATA3, KMT2C, MAP2K4, MAP3K1, NCOR1, PIK3CA, RUNX1, and TP53) (4,5), in a subset of The Cancer Genome Atlas (TCGA).
Method: Clinical and genomic data were retrieved from the TCGA database, and breast cancer risk factor information was collected from four TCGA sites; in all, 219 female breast cancer cases were included. Pre-diagnostic tobacco use was defined as never or ever; alcohol consumption was defined as drinkers or non-drinkers. Total SCNV was obtained by summing all segments with ≥|0.2|. TSMB was calculated by summing all significant mutations for each case. SBS signatures were computed using whole exome sequencing data. Analyses were conducted in all tumors (i.e., pooled) and by stratifying according to estrogen receptor (ER) status using multivariate regression, adjusting for co-variables.
Results: Tobacco users had higher TSMB compared to non-users (p<0.05 all tumors). Alcohol drinkers had higher SCNV compared to non-drinkers (p<0.05 all tumors and among ER+ tumors). Tobacco use was not associated with any SBS signature. SBS3 signature (defective homologous recombination-based repair) was exclusively found in alcohol drinkers with ER- disease. No breast cancer driver mutation was associated with tobacco use or alcohol consumption.
Conclusion: This study provides preliminary evidence that tobacco use and alcohol consumption can influence breast tumor biology, in particular, DNA alterations. Future larger epidemiological studies are required to confirm these findings.
References
1. Vineis P, et al. Mutational signatures associated with tobacco smoking in human cancer. Science. 2016;354(6312):618-22.
2. Alexandrov LB, et al. Clock-like mutational processes in human somatic cells. Nat Genet. 2015;47(12):1402-7.
3. Petljak M, Alexandrov LB. Understanding mutagenesis through delineation of mutational signatures in human cancer. Carcinogenesis. 2016;37(6):531-40.
4. Heng YJ, et al. The molecular basis of breast cancer pathologic phenotypes. J Pathol. 2017 Nov;241(3):375-91.
5. Ciriello G, et al. Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer. Cell. 2015 Oct 10;163(2):506-19.
Citation Format: Yujing J Heng, Susan E Hankinson, Jun Wang, Ludmil B Alexandrov, Christine B Ambrosone, Victor Piana de Andrade, Adam M Brufsky, Fergus J Couch, Tari A King, Francesmary Modugno, Celine M Vachon, A. Heather Eliassen, Rulla M Tamimi, Peter Kraft. Tobacco use, alcohol consumption, and breast cancer somatic genomic alterations [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P5-08-07.
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Affiliation(s)
| | - Susan E Hankinson
- 2School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA
| | - Jun Wang
- 3University of Southern California, Los Angeles, CA
| | | | | | | | - Adam M Brufsky
- 7University of Pittsburgh Medical Center, Pittsburgh, PA
| | | | | | | | | | | | | | - Peter Kraft
- 12Harvard T.H. Chan School of Public Health, Boston, MA
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Yang W, Giovannucci EL, Hankinson SE, Chan AT, Ma Y, Wu K, Fuchs CS, Lee IM, Sesso HD, Lin JH, Zhang X. Endogenous sex hormones and colorectal cancer survival among men and women. Int J Cancer 2020; 147:920-930. [PMID: 31863463 DOI: 10.1002/ijc.32844] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [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: 08/08/2019] [Revised: 12/10/2019] [Accepted: 12/11/2019] [Indexed: 02/06/2023]
Abstract
Although previous studies have suggested a potential role of sex hormones in the etiology of colorectal cancer (CRC), no study has yet examined the associations between circulating sex hormones and survival among CRC patients. We prospectively assessed the associations of prediagnostic plasma concentrations of estrone, estradiol, free estradiol, testosterone, free testosterone and sex hormone-binding globulin (SHBG) with CRC-specific and overall mortality among 609 CRC patients (370 men and 239 postmenopausal women not taking hormone therapy at blood collection) from four U.S. cohorts. Multivariable hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazard regression. We identified 174 deaths (83 CRC-specific deaths) in men and 106 deaths (70 CRC-specific deaths) in women. In men, higher circulating level of free testosterone was associated with lower risk of overall (the highest vs. lowest tertiles, HR = 0.66, 95% CI, 0.45-0.99, ptrend = 0.04) and possibly CRC-specific mortality (HR = 0.73, 95% CI, 0.41-1.29, ptrend = 0.27). We generally observed nonsignificant inverse associations for other sex steroids, and a positive association for SHBG with CRC-specific mortality among male patients. In women, however, we found a suggestive positive association of estrone with overall (HR = 1.54, 95% CI, 0.92-2.60, ptrend = 0.11) and CRC-specific mortality (HR = 1.96, 95% CI, 1.01-3.84, ptrend = 0.06). Total estradiol, free estradiol and free testosterone were generally suggestively associated with higher risk of mortality among female patients, although not statistically significant. These findings implicated a potential role of endogenous sex hormones in CRC prognosis, which warrant further investigation.
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Affiliation(s)
- Wanshui Yang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Department of Nutrition, School of Public Health, Anhui Medical University, Hefei, Anhui, People's Republic of China
| | - Edward L Giovannucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,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
| | - Susan E Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA
| | - Andrew T Chan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston, MA.,Clinical and Translational Epidemiology Unit (CTEU), Massachusetts General Hospital, Boston, MA
| | - Yanan Ma
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Charles S Fuchs
- Department of Medical Oncology, Yale Cancer Center, New Haven, CT.,Department of Medicine, Yale School of Medicine, New Haven, CT.,Department of Medical Oncology, Smilow Cancer Hospital, New Haven, CT
| | - I-Min Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Division of Preventive Medicine, Department of Medicine Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Howard D Sesso
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Division of Preventive Medicine, Department of Medicine Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
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Langton CR, Whitcomb BW, Purdue-Smithe AC, Sievert LL, Hankinson SE, Manson JE, Rosner BA, Bertone-Johnson ER. Association of Parity and Breastfeeding With Risk of Early Natural Menopause. JAMA Netw Open 2020; 3:e1919615. [PMID: 31968114 PMCID: PMC6991272 DOI: 10.1001/jamanetworkopen.2019.19615] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
IMPORTANCE Pregnancy and breastfeeding prevent ovulation and may slow the depletion of the ovarian follicle pool. These factors may lower the risk of early menopause, a condition associated with increased risk of cardiovascular disease and other adverse health outcomes. OBJECTIVE To examine the association of parity and breastfeeding with the risk of early menopause. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study within the Nurses' Health Study II cohort (1989-2015) included premenopausal participants who were aged 25 to 42 years at baseline. Response rates were 85% to 90% for each cycle, and follow-up continued until menopause, age 45 years, hysterectomy, oophorectomy, death, cancer diagnosis, loss to follow-up, or end of follow-up in May 2015. Hypotheses were formulated after data collection. Data analysis took place from February to July 2019. EXPOSURES Parity (ie, number of pregnancies lasting ≥6 months) was measured at baseline and every 2 years. History and duration of total and exclusive breastfeeding were assessed 3 times during follow-up. Menopause status and age were assessed every 2 years. MAIN OUTCOMES AND MEASURES Risk of natural menopause before age 45 years. RESULTS At baseline, 108 887 premenopausal women aged 25 to 42 years (mean [SD] age, 34.1 [4.6] years; 102 246 [93.9%] non-Hispanic white) were included in the study. In multivariable models, higher parity was associated with lower risk of early menopause. Hazard ratios were attenuated with adjustment for breastfeeding but remained significant. Compared with nulliparous women, those reporting 1, 2, 3, and 4 or more pregnancies lasting at least 6 months had hazard ratios for early menopause of 0.92 (95% CI, 0.79-1.06), 0.84 (95% CI, 0.73-0.96), 0.78 (95% CI, 0.67-0.92), and 0.81 (95% CI, 0.66-1.01), respectively (P for trend = .006). In multivariable models also adjusted for parity, hazard ratios for duration of exclusive breastfeeding of 1 to 6, 7 to 12, 13 to 18, and 19 or more months were 0.95 (95% CI, 0.85-1.07), 0.72 (95% CI, 0.62-0.83), 0.80 (95% CI, 0.66-0.97), and 0.89 (95% CI, 0.69-1.16), respectively, compared with less than 1 month of exclusive breastfeeding (P for trend = .001). Despite the significant test for trend, estimates were not observed to be lower as duration of exclusive breastfeeding increased. In a stratified analysis of parous women, risk of early menopause was lowest among those reporting exclusive breastfeeding for 7 to 12 months in each level of parity (women with 2 pregnancies and 7-12 months of breastfeeding: HR, 0.79; 95% CI, 0.66-0.96; ≥3 pregnancies and 7-12 months of breastfeeding: HR, 0.68; 95% CI, 0.52-0.88; 2 pregnancies and ≥13 months of breastfeeding: HR, 0.87; 95% CI, 0.66-1.15; ≥3 pregnancies and 13-18 months of breastfeeding: HR, 0.86; 95% CI, 0.66-1.13; and ≥3 pregnancies and ≥19 months of breastfeeding: HR, 0.98; 95% CI, 0.72-1.32). CONCLUSIONS AND RELEVANCE In this study, an inverse association of parity with risk of early menopause was observed. Breastfeeding was associated with significantly lower risk, even after accounting for parity. Breastfeeding at levels consistent with current recommendations may confer an additional benefit of lower risk of early menopause.
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Affiliation(s)
- Christine R. Langton
- School of Public Health and Health Sciences, Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst
| | - Brian W. Whitcomb
- School of Public Health and Health Sciences, Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst
| | - Alexandra C. Purdue-Smithe
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | | | - Susan E. Hankinson
- School of Public Health and Health Sciences, Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - JoAnn E. Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Preventive Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Bernard A. Rosner
- 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
| | - Elizabeth R. Bertone-Johnson
- School of Public Health and Health Sciences, Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst
- School of Public Health and Health Sciences, Department of Health Promotion and Policy, University of Massachusetts, Amherst
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Wu Y, Hankinson SE, Smith-Warner SA, Wang M, Eliassen AH. Flavonoid Intake and Plasma Sex Steroid Hormones, Prolactin, and Sex Hormone-Binding Globulin in Premenopausal Women. Nutrients 2019; 11:nu11112669. [PMID: 31694190 PMCID: PMC6928816 DOI: 10.3390/nu11112669] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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: 09/23/2019] [Revised: 10/24/2019] [Accepted: 10/31/2019] [Indexed: 12/13/2022] Open
Abstract
Background: Flavonoids potentially exert anti-cancer effects, as suggested by their chemical structures and supported by animal studies. In observational studies, however, the association between flavonoids and breast cancer, and potential underlying mechanisms, remain unclear. Objective: To examine the relationship between flavonoid intake and sex hormone levels using timed blood samples in follicular and luteal phases in the Nurses’ Health Study II among premenopausal women. Methods: Plasma concentrations of estrogens, androgens, progesterone, dehydroepiandrosterone (DHEA), DHEA sulfate (DHEAS), prolactin, and sex hormone-binding globulin (SHBG) were measured in samples collected between 1996 and 1999. Average flavonoid were calculated from semiquantitative food frequency questionnaires collected in 1995 and 1999. We used generalized linear models to calculate geometric mean hormone concentrations across categories of the intake of flavonoids and the subclasses. Results: Total flavonoid intake generally was not associated with the hormones of interest. The only significant association was with DHEAS (p-trend = 0.02), which was 11.1% (95% confidence interval (CI): −18.6%, −3.0%) lower comparing the highest vs. lowest quartile of flavonoid intake. In subclass analyses, the highest (vs. lowest) quartile of flavan-3-ol intake was associated with significantly lower DHEAS concentrations (−11.3% with 95% CI: −18.3%, −3.7%, p-trend = 0.01), and anthocyanin intake was associated with a significant inverse trend for DHEA (−18.0% with 95% CI: −27.9%, −6.7%, p-trend = 0.003). Conclusion: Flavonoid intake in this population had limited impact on most plasma sex hormones in premenopausal women. Anthocyanins and flavan-3-ols were associated with lower levels of DHEA and DHEAS.
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Affiliation(s)
- You Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
- Correspondence:
| | - Susan E. Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, USA;
| | - Stephanie A. Smith-Warner
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; (M.W.); (A.H.E.)
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; (M.W.); (A.H.E.)
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - A. Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; (M.W.); (A.H.E.)
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