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About this Publication
Title
Distinct Reproductive Risk Profiles for Intrinsic-Like Breast Cancer Subtypes: Pooled Analysis of Population-Based Studies.
Pubmed ID
35723569 (View this publication on the PubMed website)
Digital Object Identifier
Publication
J Natl Cancer Inst. 2022 Dec 8; Volume 114 (Issue 12): Pages 1706-1719
Authors
Jung AY , Ahearn TU , Behrens S , Middha P , Bolla MK , Wang Q , Arndt V , Aronson KJ , Augustinsson A , Beane Freeman LE , Becher H , Brenner H , Canzian F , Carey LA , CTS Consortium , Czene K , Eliassen AH , Eriksson M , Evans DG , Figueroa JD , ...show more Fritschi L , Gabrielson M , Giles GG , Guénel P , Hadjisavvas A , Haiman CA , Håkansson N , Hall P , Hamann U , Hoppe R , Hopper JL , Howell A , Hunter DJ , Hüsing A , Kaaks R , Kosma VM , Koutros S , Kraft P , Lacey JV , Le Marchand L , Lissowska J , Loizidou MA , Mannermaa A , Maurer T , Murphy RA , Olshan AF , Olsson H , Patel AV , Perou CM , Rennert G , Shibli R , Shu XO , Southey MC , Stone J , Tamimi RM , Teras LR , Troester MA , Truong T , Vachon CM , Wang SS , Wolk A , Wu AH , Yang XR , Zheng W , Dunning AM , Pharoah PDP , Easton DF , Milne RL , Chatterjee N , Schmidt MK , García-Closas M , Chang-Claude J
Affiliations
  • Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK.
  • Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Department of Public Health Sciences, and Cancer Research Institute, Queen's University, Kingston, ON, Canada.
  • Department of Clinical Sciences, Lund University, Lund, Sweden.
  • Institute for Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
...show more
  • Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
  • School of Population Health, Curtin University, Perth, Western Australia, Australia.
  • Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
  • Institut national de la santé et de la recherche médicale (INSERM), University Paris-Saclay, Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, Villejuif, France.
  • Department of Electron Microscopy/Molecular Pathology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.
  • Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
  • Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany.
  • Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
  • Division of Cancer Sciences, University of Manchester, Manchester, UK.
  • Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland.
  • Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA.
  • Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
  • Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie National Research Oncology Institute, Warsaw, Poland.
  • Cancer Epidemiology Group, University Medical Center Hamburg-Eppendorf, University Cancer Center Hamburg (UCCH), Hamburg, Germany.
  • School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
  • 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.
  • Department of Population Science, American Cancer Society, Atlanta, GA, USA.
  • Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Carmel Medical Center and Technion Faculty of Medicine, Clalit National Cancer Control Center, Haifa, Israel.
  • Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA.
  • Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
  • Division of Molecular Pathology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands.
Abstract

BACKGROUND: Reproductive factors have been shown to be differentially associated with risk of estrogen receptor (ER)-positive and ER-negative breast cancer. However, their associations with intrinsic-like subtypes are less clear.

METHODS: Analyses included up to 23 353 cases and 71 072 controls pooled from 31 population-based case-control or cohort studies in the Breast Cancer Association Consortium across 16 countries on 4 continents. Polytomous logistic regression was used to estimate the association between reproductive factors and risk of breast cancer by intrinsic-like subtypes (luminal A-like, luminal B-like, luminal B-HER2-like, HER2-enriched-like, and triple-negative breast cancer) and by invasiveness. All statistical tests were 2-sided.

RESULTS: Compared with nulliparous women, parous women had a lower risk of luminal A-like, luminal B-like, luminal B-HER2-like, and HER2-enriched-like disease. This association was apparent only after approximately 10 years since last birth and became stronger with increasing time (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.49 to 0.71; and OR = 0.36, 95% CI = 0.28 to 0.46 for multiparous women with luminal A-like tumors 20 to less than 25 years after last birth and 45 to less than 50 years after last birth, respectively). In contrast, parous women had a higher risk of triple-negative breast cancer right after their last birth (for multiparous women: OR = 3.12, 95% CI = 2.02 to 4.83) that was attenuated with time but persisted for decades (OR = 1.03, 95% CI = 0.79 to 1.34, for multiparous women 25 to less than 30 years after last birth). Older age at first birth (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) and breastfeeding (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) were associated with lower risk of triple-negative breast cancer but not with other disease subtypes. Younger age at menarche was associated with higher risk of all subtypes; older age at menopause was associated with higher risk of luminal A-like but not triple-negative breast cancer. Associations for in situ tumors were similar to luminal A-like.

CONCLUSIONS: This large and comprehensive study demonstrates a distinct reproductive risk factor profile for triple-negative breast cancer compared with other subtypes, with implications for the understanding of disease etiology and risk prediction.

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