Unveiling the Stroma: Reproductive Factors and the Tumor Microenvironment in African Breast Cancer.

Abstract

Breast cancer incidence rates for Black and White women in the United States have recently converged, with mortality rates remaining disproportionately higher for Black women. This disparity is more pronounced given the higher prevalence of hormone receptor-negative tumors in women of African ancestry, tumors which are more aggressive and harder to treat. Abubakar and colleagues' analysis of 792 breast cancer cases from the Ghana Breast Health Study offers new insights into the stromal tumoral microenvironment in sub-Saharan African women. Using machine learning techniques, tumor-associated stromal cellular density was associated with more aggressive tumors, higher tumor grade, and parity versus nulliparity, whereas breastfeeding did not significantly affect stromal characteristics. This commentary spotlights the innovative combination of traditional diagnostic methods, such as hematoxylin and eosin staining, with machine learning techniques within the Ghana Breast Health Study as a promising approach for improving breast cancer prognostication in low-resource settings. Moreover, this commentary underscores the need for inclusive, equity-driven research approaches that consider biological factors, host factors, and social and structural drivers of health when examining breast cancer disparities. See related article by Abubakar et al., p. 462.