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    Distinct reproductive risk profiles for intrinsic-like breast cancer subtypes: pooled analysis of population-based studies

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    Authors
    Jung, A. Y.
    Ahearn, T. U.
    Behrens, S.
    Middha, P.
    Bolla, M. K.
    Wang, Q.
    Arndt, V.
    Aronson, K. J.
    Augustinsson, A.
    Freeman, L. E. B.
    Becher, H.
    Brenner, H.
    Canzian, F.
    Carey, L. A.
    Czene, K.
    Eliassen, A. H.
    Eriksson, M.
    Evans, D. G.
    Figueroa, J. D.
    Fritschi, L.
    Gabrielson, M.
    Giles, G. G.
    Guenel, P.
    Hadjisavvas, A.
    Haiman, C. A.
    Hakansson, N.
    Hall, P.
    Hamann, U.
    Hoppe, R.
    Hopper, J. L.
    Howell, Anthony
    Hunter, D. J.
    Husing, A.
    Kaaks, R.
    Kosma, V. M.
    Koutros, S.
    Kraft, P.
    Lacey, J. V.
    Le Marchand, L.
    Lissowska, J.
    Loizidou, M. A.
    Mannermaa, A.
    Maurer, T.
    Murphy, R. A.
    Olshan, A. F.
    Olsson, H.
    Patel, A. V.
    Perou, C. M.
    Rennert, G.
    Shibli, R.
    Shu, X. O.
    Southey, M. C.
    Stone, J.
    Tamimi, R. M.
    Teras, L. R.
    Troester, M. A.
    Truong, T.
    Vachon, C. M.
    Wang, S. S.
    Wolk, A.
    Wu, A. H.
    Yang, X. H. R.
    Zheng, W.
    Dunning, A. M.
    Pharoah, P. D. P.
    Easton, D. F.
    Milne, R. L.
    Chatterjee, N.
    Schmidt, M. K.
    Garcia-Closas, M.
    Chang-Claude, J.
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    Affiliation
    German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Im Neuenheimer Feld 280, Heidelberg, 69120, Germany.
    Issue Date
    2022
    
    Metadata
    Show full item record
    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) and by invasiveness. All statistical tests were 2-sided. Results: Compared to 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-<25 years after last birth and 45-<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 < 30 years after last birth). Older age at first birth (P-heterogeneity<.001 for triple-negative compared to luminal-A like) and breastfeeding (P-heterogeneity<.001 for triple-negative compared to luminal-A like) were associated with lower risk of triple-negative 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. Conclusion: This large and comprehensive study demonstrates a distinct reproductive risk factor profile for triple-negative breast cancer compared to other subtypes, with implications for the understanding of disease etiology and risk prediction.
    Citation
    Jung AY, Ahearn TU, Behrens S, Middha P, Bolla MK, Wang Q, et al. Distinct Reproductive Risk Profiles for Intrinsic-Like Breast Cancer Subtypes: Pooled Analysis of Population-Based Studies. Jnci-Journal of the National Cancer Institute. PubMed PMID: WOS:000841948600001.
    Journal
    Jnci-Journal of the National Cancer Institute
    URI
    http://hdl.handle.net/10541/625662
    DOI
    10.1093/jnci/djac117
    PubMed ID
    35723569
    Additional Links
    https://dx.doi.org/10.1093/jnci/djac117
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1093/jnci/djac117
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