Data from Dense and Nondense Mammographic Area and Risk of Breast Cancer by Age and Tumor Characteristics

Autor: Celine M. Vachon, Karla Kerlikowske, Steven R. Cummings, Andrew H. Beck, Lin Ma, Fang-Fang Wu, Bo Fan, Yunn-Yi Chen, John Shepherd, Fergus J. Couch, Daniel W. Visscher, Aaron D. Norman, V. Shane Pankratz, Matthew R. Jensen, Rulla M. Tamimi, Christopher G. Scott, Kimberly A. Bertrand
Rok vydání: 2023
Popis: Background: Mammographic density (MD) is a strong breast cancer risk factor. We previously reported associations of percent mammographic density (PMD) with larger and node-positive tumors across all ages, and estrogen receptor (ER)–negative status among women ages Methods: Data were pooled from six studies including 4,095 breast cancers and 8,558 controls. DA and NDA were assessed from digitized film-screen mammograms and standardized across studies. Breast cancer odds by density phenotypes and age according to histopathologic characteristics and receptor status were calculated using polytomous logistic regression.Results: DA was associated with increased breast cancer risk [OR for quartiles: 0.65, 1.00 (Ref), 1.22, 1.55; Ptrend Ptrend Ptrend < 0.001) but no differences by nodal status. Among women + versus ER− tumors (Phet = 0.02), while NDA was more strongly associated with decreased risk of ER− versus ER+ tumors (Phet = 0.03).Conclusions: DA and NDA have differential associations with ER+ versus ER− tumors that vary by age.Impact: DA and NDA are important to consider when developing age- and subtype-specific risk models. Cancer Epidemiol Biomarkers Prev; 24(5); 798–809. ©2015 AACR.
Databáze: OpenAIRE