Single-cell RNA-seq reveals breast cancer heterogeneity and identifies TCP1 as a therapeutic target in breast cancer.

ABSTRACT: Breast cancer is composed of diverse cell populations, and this intratumoral heterogeneity profoundly affects clinical behavior. Here, we leveraged single cell RNA sequencing (scRNA-seq) of 68 breast cancer specimens to dissect tumor heterogeneity at high resolution. Unsupervised clustering identified all major cell types of the tumor microenvironment (TME)-including malignant epithelial cells, fibroblasts, T cells, macrophages, endothelial cells, and others-with striking variability in their proportions across molecular subtypes. For example, a BRCA1-mutant triple-negative breast cancer (TNBC) sample showed dense immune infiltration, whereas an estrogen receptor (ER)-positive tumor was mostly epithelial, consistent with known subtype differences in immunogenicity. We applied inference of

SUBMITTER: Wu H 

PROVIDER: S-EPMC12700115 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature