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Association of mammographic density measures and breast cancer 'intrinsic' molecular subtypes

Authors :
Aaron D. Norman
Rulla M. Tamimi
Christopher G. Scott
Celine M. Vachon
Kimberly A. Bertrand
Yunn Yi Chen
Fergus J. Couch
Steven R. Cummings
John A. Shepherd
Fang Fang Wu
V. Shane Pankratz
Matthew R. Jensen
Karla Kerlikowske
Kathleen R. Brandt
Stacey J. Winham
Geffen Kleinstern
Daniel W. Visscher
Source :
Breast Cancer Res Treat
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

We evaluated the association of percent mammographic density (PMD), absolute dense area (DA), and non-dense area (NDA) with risk of “intrinsic” molecular breast cancer (BC) subtypes. We pooled 3492 invasive BC and 10,148 controls across six studies with density measures from prediagnostic, digitized film-screen mammograms. We classified BC tumors into subtypes [63% Luminal A, 21% Luminal B, 5% HER2 expressing, and 11% as triple negative (TN)] using information on estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and tumor grade. We used polytomous logistic regression to calculate odds ratio (OR) and 95% confidence intervals (CI) for density measures (per SD) across the subtypes compared to controls, adjusting for age, body mass index and study, and examined differences by age group. All density measures were similarly associated with BC risk across subtypes. Significant interaction of PMD by age (P = 0.001) was observed for Luminal A tumors, with stronger effect sizes seen for younger women

Details

ISSN :
15737217 and 01676806
Volume :
187
Database :
OpenAIRE
Journal :
Breast Cancer Research and Treatment
Accession number :
edsair.doi.dedup.....53da7000859a591a672f6aa46dc5b396
Full Text :
https://doi.org/10.1007/s10549-020-06049-8