Computational Analysis of Exosome-Derived Signature in TNBC: Integrating Single-Cell and Bulk Transcriptomics for Prognosis Prediction.

ABSTRACT: Triple-negative breast cancer (TNBC) is a particularly aggressive subtype of breast cancer with limited targeted therapeutic options. Exosomes, small membrane vesicles secreted by cells, play a crucial role in intercellular communication and material exchange. However, the role of exosome-related genes (ERGs) in TNBC remains unclear. In here, we analyzed single-cell RNA sequencing (scRNA-seq) from 10 TNBC samples and bulk RNA-seq from TCGA and METABRIC cohorts. Starting with 121 EDPS curated from the breast cancer-specific ExoBCD database, we identified exosome-active cell populations and derived an Exosome-Derived Prognostic Signature (EDPS) through integrative machine learning. Our analysis identified 31,140 cells from TNBC samples, categorized into nine cell types, with epithelial cells

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC12461108 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature