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dc.contributor.authorLi, Kuanrong
dc.contributor.authorAnderson, Garnet
dc.contributor.authorViallon, Vivian
dc.contributor.authorArveux, Patrick
dc.contributor.authorKvaskoff, Marina
dc.contributor.authorFournier, Agnès
dc.contributor.authorKrogh, Vittorio
dc.contributor.authorTumino, Rosario
dc.contributor.authorSánchez, Maria-Jose
dc.contributor.authorArdanaz, Eva
dc.contributor.authorChirlaque, María-Dolores
dc.contributor.authorAgudo, Antonio
dc.contributor.authorMuller, David C
dc.contributor.authorSmith, Todd
dc.contributor.authorTzoulaki, Ioanna
dc.contributor.authorKey, Timothy J
dc.contributor.authorBueno-de-Mesquita, Bas
dc.contributor.authorTrichopoulou, Antonia
dc.contributor.authorBamia, Christina
dc.contributor.authorOrfanos, Philippos
dc.contributor.authorKaaks, Rudolf
dc.contributor.authorHüsing, Anika
dc.contributor.authorFortner, Renée T
dc.contributor.authorZeleniuch-Jacquotte, Anne
dc.contributor.authorSund, Malin
dc.contributor.authorDahm, Christina C
dc.contributor.authorOvervad, Kim
dc.contributor.authorAune, Dagfinn
dc.contributor.authorWeiderpass, Elisabete
dc.contributor.authorRomieu, Isabelle
dc.contributor.authorRiboli, Elio
dc.contributor.authorGunter, Marc J
dc.contributor.authorDossus, Laure
dc.contributor.authorPrentice, Ross
dc.contributor.authorFerrari, Pietro
dc.date.accessioned2019-02-26T12:25:55Z
dc.date.available2019-02-26T12:25:55Z
dc.date.issued2018-12-03
dc.identifier.issn1465-542X
dc.identifier.pmid30509329
dc.identifier.doi10.1186/s13058-018-1073-0
dc.identifier.urihttp://hdl.handle.net/10029/622847
dc.description.abstractFew published breast cancer (BC) risk prediction models consider the heterogeneity of predictor variables between estrogen-receptor positive (ER+) and negative (ER-) tumors. Using data from two large cohorts, we examined whether modeling this heterogeneity could improve prediction. We built two models, for ER+ (Model Parity, number of full-term pregnancies, age at first full-term pregnancy and body height were only associated with ER+ tumors. Menopausal status, age at menarche and at menopause, hormone replacement therapy, postmenopausal body mass index, and alcohol intake were homogeneously associated with ER+ and ER- tumors. Internal validation yielded a C-statistic of 0.64 for Model Modeling heterogeneous epidemiological risk factors might yield little improvement in BC risk prediction. Nevertheless, a model specifically predictive of ER+ tumor risk could be more applicable than an omnibus model in risk assessment for chemoprevention.en_US
dc.language.isoenen_US
dc.subjectBreast canceren_US
dc.subjectEPICen_US
dc.subjectEstrogen receptoren_US
dc.subjectProspective cohorten_US
dc.subjectRisk predictionen_US
dc.subjectWHIen_US
dc.titleRisk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts.en_US
dc.typeArticleen_US
dc.identifier.journalBreast Cancer Res 2018; 20(1):147en_US
dc.source.journaltitleBreast cancer research : BCR


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