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Zhang H, Zhang Q, Song Y, Wang L, Cai M, Bao J, Yu Q. Separating the effects of life course adiposity on diabetic nephropathy: a comprehensive multivariable Mendelian randomization study. Front Endocrinol (Lausanne) 2024; 15:1285872. [PMID: 38390197 PMCID: PMC10881683 DOI: 10.3389/fendo.2024.1285872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 01/19/2024] [Indexed: 02/24/2024] Open
Abstract
Aims Previous Mendelian randomization (MR) of obesity and diabetic nephropathy (DN) risk used small sample sizes or focused on a single adiposity metric. We explored the independent causal connection between obesity-related factors and DN risk using the most extensive GWAS summary data available, considering the distribution of adiposity across childhood and adulthood. Methods To evaluate the overall effect of each obesity-related exposure on DN (Ncase = 3,676, Ncontrol = 283,456), a two-sample univariate MR (UVMR) analysis was performed. The independent causal influence of each obesity-related feature on DN was estimated using multivariable MR (MVMR) when accounting for confounding variables. It was also used to examine the independent effects of adult and pediatric obesity, adjusting for their interrelationships. We used data from genome-wide association studies, including overall general (body mass index, BMI) and abdominal obesity (waist-to-hip ratio with and without adjustment for BMI, i.e., WHR and WHRadjBMI), along with childhood obesity (childhood BMI). Results UVMR revealed a significant association between adult BMI (OR=1.24, 95%CI=1.03-1.49, P=2.06×10-2) and pediatric BMI (OR=1.97, 95%CI=1.59-2.45, P=8.55×10-10) with DN risk. At the same time, adult WHR showed a marginally significant increase in DN (OR =1.27, 95%CI = 1.01-1.60, P=3.80×10-2). However, the outcomes were adverse when the influence of BMI was taken out of the WHR (WHRadjBMI). After adjusting for childhood BMI, the causal effects of adult BMI and adult abdominal obesity (WHR) on DN were significantly attenuated and became nonsignificant in MVMR models. In contrast, childhood BMI had a constant and robust independent effect on DN risk(adjusted for adult BMI: IVW, OR=1.90, 95% CI=1.60-2.25, P=2.03×10-13; LASSO, OR=1.91, 95% CI=1.65-2.21, P=3.80×10-18; adjusted for adult WHR: IVW, OR=1.80, 95% CI=1.40-2.31, P=4.20×10-6; LASSO, OR=1.90, 95% CI=1.56-2.32, P=2.76×10-10). Interpretation Our comprehensive analysis illustrated the hazard effect of obesity-related exposures for DN. In addition, we showed that childhood obesity plays a separate function in influencing the risk of DN and that the adverse effects of adult obesity (adult BMI and adult WHR) can be substantially attributed to it. Thus, several obesity-related traits deserve more attention and may become a new target for the prevention and treatment of DN and warrant further clinical investigation, especially in childhood obesity.
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Affiliation(s)
| | | | | | | | | | | | - Qing Yu
- Department of Nephrology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Dou Y, Chen B, Yu X, Xin Q, Ma D. Dose response relationship between breast cancer and somatotypes during childhood: a systematic review and meta-analysis. Br J Cancer 2023; 129:1432-1441. [PMID: 37550527 PMCID: PMC10628206 DOI: 10.1038/s41416-023-02376-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 07/07/2023] [Accepted: 07/21/2023] [Indexed: 08/09/2023] Open
Abstract
OBJECTIVES This study aims to evaluate the relationship between breast cancer and somatotypes during early life by meta-analysis and give the corresponding advice. METHODS Observational studies till April 5, 2021, which explore women with/without breast cancer who used the Stunkard Figure Rating Scale/Sørensen Somatotypes to evaluate their somatotype before 18 years of age and distant breast cancer risk were included. Using random/fixed-effect models, the pooled relative risks (RRs) and 95% confidence intervals (CIs) were estimated. Then a nonlinear dose-response meta-analysis was conducted using restricted cubic spline analysis. RESULTS Six articles involving 15,211 breast cancer patients from 341,905 individuals were included for performing a meta-analysis of early somatotype and breast cancer risk. The pooled results showed that the protection became stronger with the increase of somatotype until it reached 6. The restricted cubic spline model indicated a linear relationship between somatotypes and breast cancer (P-nonlinearity = 0.533). Subgroup analysis of menopausal status showed that increasing somatotype during childhood was increasingly protective against postmenopausal breast cancer from somatotype 3 to somatotype 6, with a 0.887-fold (RR = 0.887, 95% CI: 0.842, 0.934) to 0.759-fold (RR = 0.759, 95% CI: 0.631, 0.913) decreased risk of breast cancer (P-nonlinearity = 0.880), but this association was not found in the population with premenopausal breast cancer (P-nonlinearity = 0.757). When stratified by age, among people younger than 10 years of age, an increase in somatotype was associated with a statistically significant reduction in breast cancer risk. From somatotype 3 to somatotype 6, the risk of breast cancer was reduced by 9.7-27.7% (P-nonlinearity = 0.175). CONCLUSIONS With early-life adiposity, our data support an inverse association with breast cancer risk, especially age less than 10 years and in postmenopausal women. Since girls with overweight likely remain overweight or even develop obesity in adulthood. While adults with overweight and obese are at increased risk of breast cancer and other types of cancer and various chronic diseases. Hence, we recommend that children should maintain a normal or slightly fat somatotype throughout all periods of life.
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Affiliation(s)
- Yuqi Dou
- School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Haidian District, 100191, Beijing, China
| | - Botian Chen
- School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Haidian District, 100191, Beijing, China
| | - Xue Yu
- School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Haidian District, 100191, Beijing, China
| | - Qinghua Xin
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Defu Ma
- School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Haidian District, 100191, Beijing, China.
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Kast K, John EM, Hopper JL, Andrieu N, Noguès C, Mouret-Fourme E, Lasset C, Fricker JP, Berthet P, Mari V, Salle L, Schmidt MK, Ausems MGEM, Garcia EBG, van de Beek I, Wevers MR, Evans DG, Tischkowitz M, Lalloo F, Cook J, Izatt L, Tripathi V, Snape K, Musgrave H, Sharif S, Murray J, Colonna SV, Andrulis IL, Daly MB, Southey MC, de la Hoya M, Osorio A, Foretova L, Berkova D, Gerdes AM, Olah E, Jakubowska A, Singer CF, Tan Y, Augustinsson A, Rantala J, Simard J, Schmutzler RK, Milne RL, Phillips KA, Terry MB, Goldgar D, van Leeuwen FE, Mooij TM, Antoniou AC, Easton DF, Rookus MA, Engel C. Associations of height, body mass index, and weight gain with breast cancer risk in carriers of a pathogenic variant in BRCA1 or BRCA2: the BRCA1 and BRCA2 Cohort Consortium. Breast Cancer Res 2023; 25:72. [PMID: 37340476 PMCID: PMC10280955 DOI: 10.1186/s13058-023-01673-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 06/10/2023] [Indexed: 06/22/2023] Open
Abstract
INTRODUCTION Height, body mass index (BMI), and weight gain are associated with breast cancer risk in the general population. It is unclear whether these associations also exist for carriers of pathogenic variants in the BRCA1 or BRCA2 genes. PATIENTS AND METHODS An international pooled cohort of 8091 BRCA1/2 variant carriers was used for retrospective and prospective analyses separately for premenopausal and postmenopausal women. Cox regression was used to estimate breast cancer risk associations with height, BMI, and weight change. RESULTS In the retrospective analysis, taller height was associated with risk of premenopausal breast cancer for BRCA2 variant carriers (HR 1.20 per 10 cm increase, 95% CI 1.04-1.38). Higher young-adult BMI was associated with lower premenopausal breast cancer risk for both BRCA1 (HR 0.75 per 5 kg/m2, 95% CI 0.66-0.84) and BRCA2 (HR 0.76, 95% CI 0.65-0.89) variant carriers in the retrospective analysis, with consistent, though not statistically significant, findings from the prospective analysis. In the prospective analysis, higher BMI and adult weight gain were associated with higher postmenopausal breast cancer risk for BRCA1 carriers (HR 1.20 per 5 kg/m2, 95% CI 1.02-1.42; and HR 1.10 per 5 kg weight gain, 95% CI 1.01-1.19, respectively). CONCLUSION Anthropometric measures are associated with breast cancer risk for BRCA1 and BRCA2 variant carriers, with relative risk estimates that are generally consistent with those for women from the general population.
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Affiliation(s)
- Karin Kast
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
| | - Esther M John
- Department of Epidemiology & Population Health and of Medicine (Oncology), Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Nadine Andrieu
- INSERM U900, Paris, France
- Institut Curie, Paris, France
- Mines Paris Tech, Fontainebleau, France
- PSL Research University, Paris, France
| | - Catherine Noguès
- Aix Marseille Université, INSERM, IRD, SESSTIM, Marseille, France
- Département d'Anticipation et de Suivi Des Cancers, Oncogénétique Clinique, Institut Paoli-Calmettes, Marseille, France
| | | | | | | | | | | | - Lucie Salle
- Oncogénétique Poitou-Charentes, Niort, France
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute, Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Margreet G E M Ausems
- Department of Genetics, Division Laboratories, Pharmacy and Biomedical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Irma van de Beek
- Department of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Marijke R Wevers
- Department of Clinical Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - D Gareth Evans
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Genomic Medicine, Division of Evolution and Genomic Sciences, The University of Manchester, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- Manchester Breast Centre, Oglesby Cancer Research Centre, The Christie, University of Manchester, Manchester, UK
| | - Marc Tischkowitz
- Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Fiona Lalloo
- Clinical Genetics Service, Manchester Centre for Genomic Medicine, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Jackie Cook
- Sheffield Clinical Genetics Service, Sheffield Children's Hospital, Sheffield, UK
| | - Louise Izatt
- Department of Clinical Genetics, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Vishakha Tripathi
- Clinical Genetics Service, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Katie Snape
- Department of Clinical Genetics, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Hannah Musgrave
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Saba Sharif
- West Midlands Regional Genetics Service, Birmingham Women's Hospital Healthcare NHS Trust, Edgbaston, Birmingham, UK
| | - Jennie Murray
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Leeds, UK
- West Midlands Regional Genetics Service, Birmingham Women's Hospital Healthcare NHS Trust, Edgbaston, Birmingham, UK
- South East of Scotland Regional Genetics Service, Western General Hospital, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Sarah V Colonna
- Department of Medicine and Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT, 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
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at, Monash Health Monash University, Clayton, VIC, Australia
- Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Miguel de la Hoya
- Molecular Oncology Laboratory, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Ana Osorio
- Familial Cancer Clinical Unit, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO) and Spanish Network On Rare Diseases (CIBERER), Madrid, Spain
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Dita Berkova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Anne-Marie Gerdes
- Department of Clinical Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Edith Olah
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
| | - Christian F Singer
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Yen Tan
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Annelie Augustinsson
- Department of Oncology, Clinical Sciences in Lund, Lund University Hospital, Lund, Sweden
| | | | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec-Université Laval Research Center, Quebec City, QC, Canada
| | - Rita K Schmutzler
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Kelly-Anne Phillips
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Victoria, Australia
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health and the Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - David Goldgar
- Department of Dermatology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Flora E van Leeuwen
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Thea M Mooij
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - 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
| | - Matti A Rookus
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany
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Pedersen DC, Jensen BW, Tjønneland A, Andersen ZJ, Mellemkjaer L, Bjerregaard LG, Aarestrup J, Baker JL. Birthweight, childhood body size, and timing of puberty and risks of breast cancer by menopausal status and tumor receptor subtypes. Breast Cancer Res 2022; 24:77. [DOI: 10.1186/s13058-022-01578-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 10/23/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Associations of birthweight, childhood body size and pubertal timing with breast cancer risks by menopausal status and tumor receptor subtypes are inconclusive. Thus, we investigated these associations in a population-based cohort of Danish women.
Methods
We studied 162,419 women born between 1930 and 1996 from the Copenhagen School Health Records Register. The register includes information on birthweight, measured childhood weights and heights at the age of 7–13 years, and computed ages at the onset of the growth spurt (OGS) and at peak height velocity (PHV). The Danish Breast Cancer Cooperative Group database provided information on breast cancer (n = 7510), including estrogen receptor (ER), human epidermal growth factor receptor 2 (HER2) and menopausal status. Hormone replacement therapy use came from the Danish National Prescription Registry. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated by Cox regression.
Results
We found that birthweight was not associated with any breast cancer subtypes. While childhood BMI was not statistically significantly associated with ER+ tumors nor consistently with ER− tumors among pre-menopausal women, consistent inverse associations were found among postmenopausal women. At the age of 7 years, the HRs for postmenopausal ER+ and ER− tumors were 0.90 (95% CI 0.87–0.93) and 0.84 (95% CI 0.79–0.91) per BMI z-score, respectively. Similarly, childhood BMI was inversely associated with pre- and postmenopausal HER2− tumors, but not with HER2+ tumors. Childhood height was positively associated with both pre- and postmenopausal ER+ tumors, but not with ER− tumors. At the age of 7 years, the HRs for postmenopausal ER+ and ER− tumors were 1.09 (95% CI 1.06–1.12) and 1.02 (95% CI 0.96–1.09) per height z-score, respectively. In general, childhood height was positively associated with HER2+ and HER2− tumors among pre- and postmenopausal women. Ages at OGS and PHV were not associated with any breast cancer subtypes.
Conclusions
We showed that a high BMI and short stature in childhood are associated with reduced risks of certain breast cancer subtypes. Thus, childhood body composition may play a role in the development of breast cancer.
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Association of birth weight with cancer risk: a dose-response meta-analysis and Mendelian randomization study. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04171-2. [PMID: 36030285 DOI: 10.1007/s00432-022-04171-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 06/22/2022] [Indexed: 10/15/2022]
Abstract
BACKGROUND Several articles have shown that birth weight is associated with the risk of many types of cancers. However, the results are inconsistent, and whether the relationship has a causal effect remains unknown. METHODS We searched the PubMed and Embase libraries up to March 2021 and selected observational studies reporting the relationship between birth weight and adult-onset cancer risk. Dose-response meta-analysis and two-sample Mendelian randomization (MR) analysis were used to estimate the effect. RESULT In our dose-response meta-analysis, six cancers from 46 studies were found to have significant associations with birth weight. (Ovarian cancer: RR: 1.21, 95% CI 1.01-1.44; breast cancer: RR: 1.12, 95% CI 1.08-1.16; colorectal cancer: RR: 1.20, 95% CI 1.01-1.43; endometrial cancer: RR: 0.85, 95% CI 0.78-0.93; prostate cancer: RR: 1.27, 95% CI 1.01-1.61; testicular cancer: RR: 1.21, 95% CI 1.03-1.43). As birth weight increased, the slope of the dose-response curve of breast cancer increased continuously, and the curve of testicular cancer was U-shaped. In the MR study, seven cancers were included. Only invasive mucinous ovarian cancer was found to have a causal effect on birth weight (OR: 0.62; 95% CI 0.39-0.97), while other cancers did not. CONCLUSIONS Our findings suggest that birth weight are unlikely to have a casual effect on risk of cancers via the MR analysis, although the dose-response meta-analysis shows that there is a nonlinear relationship between birth weight and breast cancer and testicular cancer. More relevant researches are needed to further investigate their effect.
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Velie EM, Marcus LR, Pathak DR, Hamilton AS, DiGaetano R, Klinger R, Gollapudi B, Houang R, Carnegie N, Olson LK, Allen A, Zhang Z, Modjesk D, Norman G, Lucas DR, Gupta S, Rui H, Schwartz K. Theory, methods, and operational results of the Young Women's Health History Study: a study of young-onset breast cancer incidence in Black and White women. Cancer Causes Control 2021; 32:1129-1148. [PMID: 34292440 PMCID: PMC8416838 DOI: 10.1007/s10552-021-01461-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 06/11/2021] [Indexed: 11/29/2022]
Abstract
Purpose The etiology of young-onset breast cancer (BC) is poorly understood, despite its greater likelihood of being hormone receptor-negative with a worse prognosis and persistent racial and socioeconomic inequities. We conducted a population-based case–control study of BC among young Black and White women and here discuss the theory that informed our study, exposures collected, study methods, and operational results. Methods Cases were non-Hispanic Black (NHB) and White (NHW) women age 20–49 years with invasive BC in metropolitan Detroit and Los Angeles County SEER registries 2010–2015. Controls were identified through area-based sampling from the U.S. census and frequency matched to cases on study site, race, and age. An eco-social theory of health informed life-course exposures collected from in-person interviews, including socioeconomic, reproductive, and energy balance factors. Measured anthropometry, blood (or saliva), and among cases SEER tumor characteristics and tumor tissue (from a subset of cases) were also collected. Results Of 5,309 identified potentially eligible cases, 2,720 sampled participants were screened and 1,812 completed interviews (682 NHB, 1140 NHW; response rate (RR): 60%). Of 24,612 sampled control households 18,612 were rostered, 2,716 participants were sampled and screened, and 1,381 completed interviews (665 NHB, 716 NHW; RR: 53%). Ninety-nine% of participants completed the main interview, 82% provided blood or saliva (75% blood only), and SEER tumor characteristics (including ER, PR and HER2 status) were obtained from 96% of cases. Conclusions Results from the successfully established YWHHS should expand our understanding of young-onset BC etiology overall and by tumor type and identify sources of racial and socioeconomic inequities in BC. Supplementary Information The online version of this article contains supplementary material available (10.1007/s10552-021-01461-x).
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Affiliation(s)
- Ellen M Velie
- Zilber School of Public Health, University of WI - Milwaukee, 1240 N. 10th Street, Milwaukee, WI, 53201, USA. .,Departments of Medicine and Pathology, Medical College of Wisconsin, 9200 W. Wisconsin Ave, Milwaukee, WI, 53226, USA.
| | - Lydia R Marcus
- Zilber School of Public Health, University of WI - Milwaukee, 1240 N. 10th Street, Milwaukee, WI, 53201, USA.,Departments of Medicine and Pathology, Medical College of Wisconsin, 9200 W. Wisconsin Ave, Milwaukee, WI, 53226, USA
| | - Dorothy R Pathak
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, 909 Wilson Road Room B601, East Lansing, MI, 48824, USA
| | - Ann S Hamilton
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto St, Los Angeles, CA, 90089-9239, USA
| | | | - Ron Klinger
- Westat Inc., 1650 Research Blvd, Rockville, MD, 20850, USA
| | - Bibi Gollapudi
- Westat Inc., 1650 Research Blvd, Rockville, MD, 20850, USA
| | - Richard Houang
- Department of Education, Michigan State University, 620 Farm Ln, East Lancing, MI, 48824, USA
| | - Nicole Carnegie
- Department of Mathematics, Montana State University, 732 Grant St, Bozeman, MT, 59717, USA
| | - L Karl Olson
- Department of Physiology, Michigan State University, 567 Wilson Rd, East Lansing, MI, 48824, USA
| | - Amani Allen
- Departments of Community Health Sciences and Epidemiology, School of Public Health, University of California Berkeley, 2121 Berkeley Way, Berkeley, CA, 94720, USA
| | - Zhenzhen Zhang
- Division of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Mail Code: KCRB-PROS, Portland, OR, 97239, USA
| | - Denise Modjesk
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto St, Los Angeles, CA, 90089-9239, USA
| | - Gwendolyn Norman
- College of Liberal Arts and Sciences, Wayne State University, 4841 Cass Avenue, Detroit, MI, 48201, USA
| | - Darek R Lucas
- Zilber School of Public Health, University of WI - Milwaukee, 1240 N. 10th Street, Milwaukee, WI, 53201, USA.,Departments of Medicine and Pathology, Medical College of Wisconsin, 9200 W. Wisconsin Ave, Milwaukee, WI, 53226, USA
| | - Sapna Gupta
- Cancer Research Informatics Core, University of Southern California Norris Cancer Center, NRT LG507, 1450 Biggy St, Los Angeles, CA, 90033, USA
| | - Hallgeir Rui
- Department of Pathology, Medical College of Wisconsin, 8701 Watertown Plank RD., Milwaukee, WI, 53226, USA
| | - Kendra Schwartz
- Department of Family Medicine and Public Health Sciences, Wayne State University, 3939 Woodward Ave, Detroit, MI, 48201, USA
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Cote DJ, Smith TR, Kaiser UB, Laws ER, Stampfer MJ. Body Habitus Across the Lifespan and Risk of Pituitary Adenoma. J Clin Endocrinol Metab 2021; 106:e1591-e1602. [PMID: 33417714 PMCID: PMC7993593 DOI: 10.1210/clinem/dgaa987] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Indexed: 01/22/2023]
Abstract
CONTEXT No studies have examined the association between body habitus and incidence of pituitary adenoma. OBJECTIVE To determine if body mass index (BMI), waist circumference, body somatotype, or height are associated with risk of pituitary adenoma. DESIGN Pooled analysis of 3 prospective cohort studies. SETTING Population-based study. PARTICIPANTS Participants of the Nurses' Health Study (NHS), Nurses' Health Study II (NHSII), and the Health Professionals Follow-Up Study (HPFS), totaling 284 946 American health professionals. EXPOSURES BMI, waist circumference, body somatotype, and height. OUTCOME MEASURES Self-reported incident pituitary adenoma. Multivariable (MV)-adjusted hazard ratios (HRs) of pituitary adenoma were estimated using Cox proportional hazards models. RESULTS During 7 350 156 person-years of follow-up, 387 incident pituitary adenomas were reported. Comparing BMI of ≥30 to <25 kg/m2, higher adult BMI was associated with higher risk of pituitary adenoma (MV HR = 1.74; 95% CI, 1.33-2.28), as was higher maximum adult BMI (MV HR = 1.76; 95% CI, 1.34-2.30), higher waist circumference (MV HR = 1.06; 95% CI, 1.04-1.09 per inch), and higher BMI during early adulthood (at age 18 to 21, MV HR = 2.65; 95% CI, 1.56-4.49). Taller adult height was associated with pituitary adenoma (MV HR = 1.05; 95% CI, 1.01-1.09 per inch). Overall findings were similar in women and men, although power was limited in men (n = 62 cases). Sensitivity analyses demonstrated that the association between adult BMI and pituitary adenoma extended to at least 14 years prior to diagnosis and that the results were not affected when analyses were restricted to participants with similar healthcare utilization. CONCLUSION Higher BMI and waist circumference, from early adulthood to the time of diagnosis, were associated with higher risk of pituitary adenoma.
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Affiliation(s)
- David J Cote
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Pituitary/Neuroendocrine Center, Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA, USA
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA, USA
- Correspondence: David J. Cote, PhD, Channing Division of Network Medicine, Harvard T.H. Chan School of Public Health, Brigham and Women’s Hospital, 181 Longwood Avenue, Boston, MA 02115.
| | - Timothy R Smith
- Pituitary/Neuroendocrine Center, Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA, USA
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA, USA
| | - Ursula B Kaiser
- Pituitary/Neuroendocrine Center, Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Edward R Laws
- Pituitary/Neuroendocrine Center, Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA, USA
| | - Meir J Stampfer
- 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
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8
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Forman MR. Breast Cancer and Nutrition: A Paradigm for Prevention in 3D Across the Life Course. Front Oncol 2020; 10:129. [PMID: 32133286 PMCID: PMC7040200 DOI: 10.3389/fonc.2020.00129] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 01/24/2020] [Indexed: 11/13/2022] Open
Abstract
Breast cancer, the most common cancer in women worldwide, has recognized reproductive and anthropometric risk factors including age at menarche and adult height. Yet the age when a woman attains her adult height or experiences menarche for example is simply the timing of the major life event at the end of a long trail of exposures that began in utero. The objective of this article is to investigate through a review of the literature the role of nutrition in breast cancer prevention through three dimensions (D). Each D offers a different lens. The First D identifies windows/ages of exposures or conditions that convey vulnerability or protection from breast cancer. The Second D addresses the intensity and duration of the exposure; and the (Third D) examines the pace, i.e., how rapid or slow the young woman experiences her growth and development. Birthweight illustrative of the First D reveals a strong signal across the life course on BC risk, but the risk group varies from low to high birthweight. Stressful life events like being a pubertal aged girl living in a household with an unemployed father during the Great Depression or high levels of environmental contaminants exposure are representative of the Second D. Height velocity at specific ages and weight loss in postmenopausal years are illustrative of anthropometric trajectories that reveal an adaptive biosystem that provides a contextual state to interact with the other two Ds. This article presents a new paradigm of nutrition and breast cancer prevention through the lens of three very different dimensions. It is the premise of this article that all three dimensions are essential tasks to tease apart the life course and identify windows for preventive strategies.
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Affiliation(s)
- Michele R Forman
- Department of Nutrition Science, Purdue University Cancer Center, Center for Aging and the Life Course, Purdue University, West Lafayette, IN, United States
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9
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Schmid D, Willett WC, Ding M, Michels KB. Maternal and Infant Anthropometric Characteristics and Breast Cancer Incidence in the Daughter. Sci Rep 2020; 10:2550. [PMID: 32054969 PMCID: PMC7018761 DOI: 10.1038/s41598-020-59527-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 01/28/2020] [Indexed: 11/13/2022] Open
Abstract
The intrauterine and early life environments have been linked to the etiology of breast cancer in prior studies. We prospectively examined whether maternal and newborn anthropometric factors as reported by the mother are related to an increased incidence of adult breast cancer in the daughter. We used data from 35,133 mother-daughter dyads of the Nurses’ Health Study (NHS) II and the Nurses’ Mothers’ Cohort Study. In 2001, living mothers of NHS II participants who were free of cancer completed a questionnaire on their pregnancy with the nurse and their nurse daughter’s early life experience. During 403,786 years of follow-up, 865 daughters developed incident cases of invasive breast cancer. Nurses with a birthweight of ≥4000 g had a 32% greater risk for breast cancer (multivariable-adjusted hazard ratio (HR) = 1.32, 95% confidence interval (CI) = 1.02–1.71, p-trend = 0.09) compared with those with birthweights of 3000–3499 g. Higher birth length tended to increase risk of premenopausal breast cancer (p for trend = 0.05). We further noted a modest U-shaped relation between maternal weight gain during pregnancy and premenopausal breast cancer incidence in the daughter. Fetal growth may contribute to shaping later life risk for breast cancer, especially prior to menopause.
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Affiliation(s)
- Daniela Schmid
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.,Division for Quantitative Methods in Public Health and Health Services Research, Department of Public Health, Health Services Research, and Health Technology Assessment, UMIT - Private University for Health Sciences, Medical Informatics and Technology, Hall in Tyrol, Austria
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ming Ding
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Karin B Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany. .,Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, USA.
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10
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Terry MB, Cohn BA, Goldberg M, Flom JD, Wei Y, Houghton LC, Tehranifar P, McDonald JA, Protacio A, Cirillo P, Michels KB. Do Birth Weight and Weight Gain During Infancy and Early Childhood Explain Variation in Mammographic Density in Women in Midlife? Results From Cohort and Sibling Analyses. Am J Epidemiol 2019; 188:294-304. [PMID: 30383202 DOI: 10.1093/aje/kwy229] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 10/01/2018] [Indexed: 02/06/2023] Open
Abstract
High birth weight is associated with increased breast cancer risk and, less consistently, with higher mammographic density. In contrast, adolescent body size has been consistently, negatively associated with both MD and breast cancer risk. It is unclear when the direction of these associations changes and whether weight gain in infancy is associated with MD. We evaluated the associations of birth weight and postnatal weight (measured at 4 months, 1 year, and 4 years) by absolute and velocity measures (relative within-cohort percentile changes) with adult mammographic density, assessed using a computer-assisted thresholding program (Cumulus), using linear regression models with generalized estimating equations to account for correlation between siblings in the Early Determinants of Mammographic Density study (1959-2008; n = 700 women with 116 sibling sets; mean age = 44.1 years). Birth weight was positively associated with dense area (per 1-kg increase, β = 3.36, 95% confidence interval (CI): 0.06, 6.66). Weight gains from 0 months to 4 months and 1 year to 4 years were negatively associated with dense area (for 10-unit increase in weight percentile, β = -0.65, 95% CI: -1.23, -0.07, and β = -1.07, 95% CI: -1.98, -0.16, respectively). Findings were similar in the sibling subset. These results support the hypothesis that high birth weight is positively associated with increased breast density and suggest that growth spurts starting in early infancy reduce mammographic dense area in adulthood.
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Affiliation(s)
- Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, New York
- Imprints Center for Genetic and Environmental Lifecourse Studies, Mailman School of Public Health, Columbia University, New York, New York
| | - Barbara A Cohn
- The Child Health and Development Studies, Public Health Institute, Berkeley, California
| | - Mandy Goldberg
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Julie D Flom
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Ying Wei
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York
| | - Lauren C Houghton
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Parisa Tehranifar
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, New York
| | - Jasmine A McDonald
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Angeline Protacio
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Piera Cirillo
- The Child Health and Development Studies, Public Health Institute, Berkeley, California
| | - Karin B Michels
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
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11
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Kim SJ, Huzarski T, Gronwald J, Singer CF, Møller P, Lynch HT, Armel S, Karlan BY, Foulkes WD, Neuhausen SL, Senter L, Eisen A, Eng C, Panchal S, Pal T, Olopade O, Zakalik D, Lubinski J, Narod SA, Kotsopoulos J. Prospective evaluation of body size and breast cancer risk among BRCA1 and BRCA2 mutation carriers. Int J Epidemiol 2018; 47:987-997. [PMID: 29547931 DOI: 10.1093/ije/dyy039] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Revised: 02/13/2018] [Accepted: 02/26/2018] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Although evidence suggests that larger body size in early life confers lifelong protection from developing breast cancer, few studies have investigated the relationship between body size and breast cancer risk among BRCA mutation carriers. Therefore, we conducted a prospective evaluation of body size and the risk of breast cancer among BRCA mutation carriers. METHODS Current height and body mass index (BMI) at age 18 were determined from baseline questionnaires. Current BMI and weight change since age 18 were calculated from updated biennial follow-up questionnaires. Cox proportional hazards models were used to estimate the hazard ratio (HR) and 95% confidence interval (CI). RESULTS Among 3734 BRCA mutation carriers, there were 338 incident breast cancers over a mean follow-up of 5.5 years. There was no association between height, current BMI or weight change and breast cancer risk. Women with BMI at age 18 ≥22.1 kg/m2 had a decreased risk of developing post-menopausal breast cancer compared with women with a BMI at age 18 between 18.8 and 20.3 kg/m2 (HR 0.49; 95% CI 0.30-0.82; P = 0.006). BMI at age 18 was not associated with risk of pre-menopausal breast cancer. CONCLUSIONS There was no observed association between height, current BMI and weight change and risk of breast cancer. The inverse relationship between greater BMI at age 18 and post-menopausal breast cancer further supports a role of early rather than current or adulthood exposures for BRCA-associated breast cancer development. Future studies with longer follow-up and additional measures of adiposity are necessary to confirm these findings.
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Affiliation(s)
- Shana J Kim
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada
| | - Tomasz Huzarski
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Jacek Gronwald
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Christian F Singer
- Department of Obstetrics and Gynecology and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Pål Møller
- Inherited Cancer Research Group, Department for Medical Genetics, Oslo University Hospital, Oslo, Norway.,Department of Tumor Biology, Institute of Cancer Research, Oslo University Hospital, Oslo, Norway.,Surgical Center for Hereditary Tumors, HELIOS University Clinic Wuppertal, University Witten-Herdecke, Wuppertal, Germany
| | - Henry T Lynch
- Hereditary Cancer Center, Creighton University School of Medicine, Omaha, NE, USA
| | - Susan Armel
- Department of Gynecologic Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Beth Y Karlan
- Women's Cancer Program, Division of Gynecologic Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - William D Foulkes
- Program in Cancer Genetics, Department of Oncology and Human Genetics, McGill University, Montréal, Quebec, Canada
| | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Leigha Senter
- Division of Human Genetics, Ohio State University Medical Center, Comprehensive Cancer Center, Columbus, OH, USA
| | - Andrea Eisen
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Charis Eng
- Genomic Medicine Institute, Center for Personalized Genetic Healthcare, Cleveland Clinic, Cleveland, OH, USA
| | | | - Tuya Pal
- Vanderbilt-Ingram Cancer Center/Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Dana Zakalik
- Cancer Genetics Program, Beaumont Hospital, Royal Oak, MI, USA
| | - Jan Lubinski
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Steven A Narod
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Joanne Kotsopoulos
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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12
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Bertrand KA, Bethea TN, Adams-Campbell LL, Rosenberg L, Palmer JR. Differential Patterns of Risk Factors for Early-Onset Breast Cancer by ER Status in African American Women. Cancer Epidemiol Biomarkers Prev 2016; 26:270-277. [PMID: 27756774 DOI: 10.1158/1055-9965.epi-16-0692] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 10/04/2016] [Accepted: 10/11/2016] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Given the disproportionately high incidence of early-onset breast cancer and aggressive subtypes, such as estrogen receptor (ER)-negative tumors, in African American (AA) women, elucidation of risk factors for early onset of specific subtypes of breast cancer is needed. METHODS We evaluated associations of reproductive, anthropometric, and other factors with incidence of invasive breast cancer by age at onset (<45, ≥45) in 57,708 AA women in the prospective Black Women's Health Study. From 1995 to 2013, we identified 529 invasive breast cancers among women <45 years of age (151 ER-, 219 ER+) and 1,534 among women ≥45 years (385 ER-, 804 ER+). We used multivariable Cox proportional hazards regression to estimate hazard ratios (HRs) for associations by age and ER status. RESULTS Higher parity, older age at first birth, never having breastfed, and abdominal adiposity were associated with increased risk of early-onset ER- breast cancer: HRs were 1.71 for ≥3 births versus one birth; 2.29 for first birth after age 25 versus <20 years; 0.61 for ever having breastfed versus never; and 1.64 for highest versus lowest tertile of waist-to-hip ratio. These factors were not associated with ER- cancer in older women or with ER+ cancer regardless of age. CONCLUSIONS Differences in risk factors by ER subtype were observed for breast cancer diagnosed before the age of 45 years. IMPACT Etiological heterogeneity by tumor subtype in early-onset breast cancer, in combination with a higher prevalence of the risk factors in AA women, may explain, in part, racial disparities in breast cancer incidence. Cancer Epidemiol Biomarkers Prev; 26(2); 270-7. ©2016 AACR.
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Affiliation(s)
| | - Traci N Bethea
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | | | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
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