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

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..

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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