Potential Therapeutic Targets in Triple-Negative Breast Cancer Based on Gene Regulatory Network Analysis: A Comprehensive Systems Biology Approach.

ABSTRACT: Background: Triple-negative breast cancer (TNBC) is an aggressive subtype with limited treatment options. This study is aimed at identifying potential therapeutic targets in TNBC using gene regulatory network analysis and a system biology approach. Methods: The GSE38959 dataset was reanalyzed to identify differentially expressed genes (DEGs) in TNBC tissues compared to normal breast samples. Protein-protein interaction networks were constructed, and hub genes were identified. Survival analysis was performed using GEPIA2. Gene regulatory networks were built to identify upstream regulators. Cross-platform verification was conducted using an independent RNA-seq dataset (GSE58135). Expression analysis of prognostic markers in TNBC versus non-TNBC samples was performed using bc-Ge

SUBMITTER: Ahmadi M 

PROVIDER: S-EPMC11521586 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature