%0 Journal Article
%A Brantley, Kristen D
%A Jones, Michael E
%A Tamimi, Rulla M
%A Rosner, Bernard A
%A Kraft, Peter
%A Nichols, Hazel B
%A O'Brien, Katie M
%A Adami, Hans-Olov
%A Aizpurua, Amaia
%A de Gonzalez, Amy Berrington
%A Blot, William J
%A Braaten, Tonje
%A Chen, Yu
%A DeHart, Jessica Clague
%A Dossus, Laure
%A Elias, Sjoerd
%A Turzanski-Fortner, Renée
%A Garcia-Closas, Montserrat
%A Gram, Inger T
%A Håkansson, Niclas
%A Hankinson, Susan E
%A Kitahara, Cari M
%A Koh, Woon-Puay
%A Linet, Martha S
%A MacInnis, Robert J
%A Masala, Giovanna
%A Mellemkjær, Lene
%A Milne, Roger L
%A Muller, David C
%A Park, Hannah Lui
%A Ruddy, Kathryn J
%A Sandin, Sven
%A Shu, Xiao-Ou
%A Tin Tin, Sandar
%A Truong, Thérèse
%A Vachon, Celine M
%A Vatten, Lars J
%A Visvanathan, Kala
%A Weiderpass, Elisabete
%A Willett, Walter
%A Wolk, Alicja
%A Yuan, Jian-Min
%A Zheng, Wei
%A Sandler, Dale P
%A Schoemaker, Minouk J
%A Swerdlow, Anthony J
%A Eliassen, A Heather
%T Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts.
%J Breast cancer research
%V 27
%N 1
%@ 1465-5411
%C London
%I BioMed Central
%M DKFZ-2025-00908
%P 67
%D 2025
%X Incidence of premenopausal breast cancer (BC) has risen in recent years, though most existing BC prediction models are not generalizable to young women due to underrepresentation of this age group in model development.Using questionnaire-based data from 19 prospective studies harmonized within the Premenopausal Breast Cancer Collaborative Group (PBCCG), representing 783,830 women, we developed a premenopausal BC risk prediction model. The data were split into training (2/3) and validation (1/3) datasets with equal distribution of cohorts in each. In the training dataset variables were chosen from known and hypothesized risk factors: age, age at menarche, age at first birth, parity, breastfeeding, height, BMI, young adulthood BMI, recent weight change, alcohol consumption, first-degree family history of BC, and personal history of benign breast disease (BBD). Hazard ratios (HR) and 95
%K Premenopausal breast cancer (Other)
%K Risk prediction model (Other)
%K Young-onset breast cancer (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:40312753
%R 10.1186/s13058-025-02031-8
%U https://inrepo02.dkfz.de/record/300748