Journal article
Clarifying risk-factor associations with quantitative breast tumor features: a pooled analysis of 24 studies.
Daniel Adams, Amber N Hurson, Thomas U Ahearn, Irene L Andrulis, Antonis C Antoniou, Päivi Auvinen, Anita Bane, Sabine Behrens, Amy Berrington de Gonzalez, Katarzyna Białkowska, Clara Bodelon, Manjeet K Bolla, Maria Borrero, Hermann Brenner, Ian W Brock, Annegien Broeks, Nicola J Camp, Melissa H Cessna, Stephen J Chanock, Georgia Chenevix-Trench Show all
J Natl Cancer Inst | Published : 2026
DOI: 10.1093/jnci/djag244
Abstract
BACKGROUND: Breast cancer is etiologically heterogeneous, but which risk factors differ in their associations across tumor subtypes remains unclear. We conducted a large, pooled analysis to evaluate independent, dose-response associations between breast cancer risk factors and quantitative tumor features. METHODS: Analyses of 15,731 invasive breast cancers from 24 studies evaluated associations (p-trend) between reproductive and hormonal factors, body mass index (BMI), alcohol, smoking, and family history in relation to quantitative immunohistochemistry measures on tissue microarrays (ER, PR, HER2, KI67, TP53) and tumor grade. Analyses in a subset of 10 population-based studies estimated sub..
View full abstractRelated Projects (1)
Grants
Awarded by European Union’s Horizon 2020 Research and Innovation
Awarded by Cancer Research UK
Awarded by NIHR Cambridge Biomedical Research Centre
Awarded by Dutch Cancer Society
Awarded by Fondo de Investigación Sanitario
Awarded by Health Research Fund
Awarded by Murcia and Navarra, ISCIII RETIC
Awarded by SZBCS
Awarded by Regional Initiative of Excellence
Awarded by NCI
Awarded by NCI’s SEER
Awarded by US Centers for Disease Control and Prevention’s National Program of Cancer Registries