Epidemiology of basal-like and luminal breast cancers among black women in the amber consortium

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Abstract

Background: Evidence suggests etiologic heterogeneity among breast cancer subtypes. Previous studies with six-marker IHC classification of intrinsic subtypes included small numbers of black women. Methods: Using centralized laboratory results for estrogen receptor (ER), progesterone receptor, HER2, proliferation marker, Ki-67, EGFR, and cytokeratin (CK)5/6, we estimated case-only and case. control ORs for established breast cancer risk factors among cases (n.2,354) and controls (n.2,932) in the African American Breast Cancer Epidemiology and Risk (AMBER) consortium. ORs were estimated by ER status and intrinsic subtype using adjusted logistic regression. Results: Case-only analyses by ER status showed etiologic heterogeneity by age at menarche, parity (vs. nulliparity), and age at first birth. In case.control analyses for intrinsic subtype, increased body mass index and waist-to-hip ratio (WHR) were associated with increased risk of luminal A subtype, whereas older age at menarche and parity, regardless of breastfeeding, were associated with reduced risk. For basal-like cancers, parity without breastfeeding and increasing WHR were associated with increased risk, whereas breastfeeding and age ≥25 years at first birth were associated with reduced risk among parous women. Basal-like and ER-/ HER2+ subtypes had earlier age-at-incidence distribution relative to luminal subtypes. Conclusions: Breast cancer subtypes showed distinct etiologic profiles in theAMBERconsortium, a study of more than 5,000 black women with centrally assessed tumor biospecimens. Impact: Among black women, high WHR and parity without breastfeeding are emerging as important intervention points to reduce the incidence of basal-like breast cancer.

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Benefield, H. C., Zirpoli, G. R., Allott, E. H., Shan, Y., Hurson, A. N., Omilian, A. R., … Troester, M. A. (2021). Epidemiology of basal-like and luminal breast cancers among black women in the amber consortium. Cancer Epidemiology Biomarkers and Prevention, 30(1), 71–79. https://doi.org/10.1158/1055-9965.EPI-20-0556

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