TY  - JOUR
AU  - Brantley, Kristen D
AU  - Jones, Michael E
AU  - Tamimi, Rulla M
AU  - Rosner, Bernard A
AU  - Kraft, Peter
AU  - Nichols, Hazel B
AU  - O'Brien, Katie M
AU  - Adami, Hans-Olov
AU  - Aizpurua, Amaia
AU  - de Gonzalez, Amy Berrington
AU  - Blot, William J
AU  - Braaten, Tonje
AU  - Chen, Yu
AU  - DeHart, Jessica Clague
AU  - Dossus, Laure
AU  - Elias, Sjoerd
AU  - Turzanski-Fortner, Renée
AU  - Garcia-Closas, Montserrat
AU  - Gram, Inger T
AU  - Håkansson, Niclas
AU  - Hankinson, Susan E
AU  - Kitahara, Cari M
AU  - Koh, Woon-Puay
AU  - Linet, Martha S
AU  - MacInnis, Robert J
AU  - Masala, Giovanna
AU  - Mellemkjær, Lene
AU  - Milne, Roger L
AU  - Muller, David C
AU  - Park, Hannah Lui
AU  - Ruddy, Kathryn J
AU  - Sandin, Sven
AU  - Shu, Xiao-Ou
AU  - Tin Tin, Sandar
AU  - Truong, Thérèse
AU  - Vachon, Celine M
AU  - Vatten, Lars J
AU  - Visvanathan, Kala
AU  - Weiderpass, Elisabete
AU  - Willett, Walter
AU  - Wolk, Alicja
AU  - Yuan, Jian-Min
AU  - Zheng, Wei
AU  - Sandler, Dale P
AU  - Schoemaker, Minouk J
AU  - Swerdlow, Anthony J
AU  - Eliassen, A Heather
TI  - Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts.
JO  - Breast cancer research
VL  - 27
IS  - 1
SN  - 1465-5411
CY  - London
PB  - BioMed Central
M1  - DKFZ-2025-00908
SP  - 67
PY  - 2025
AB  - 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
KW  - Premenopausal breast cancer (Other)
KW  - Risk prediction model (Other)
KW  - Young-onset breast cancer (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:40312753
DO  - DOI:10.1186/s13058-025-02031-8
UR  - https://inrepo02.dkfz.de/record/300748
ER  -