Exploring the prognostic value of T cell exhaustion and mitochondrial dysfunction related genes in breast cancer through bioinformatics analysis and RT-qPCR validation.

ABSTRACT: Breast cancer (BRCA) is a complex cancer with heterogeneous molecular mechanisms. This study aimed to identify prognostic genes related to T cell exhaustion and mitochondrial dysfunction in BRCA, and to construct a prognostic model. First, transcriptomic and clinical data for both tumor and normal samples were retrieved from public databases. Next, differentially expressed genes (DEGs) were identified. These DEGs were then intersected with 2030 mitochondrial-related genes and 683 T cell exhaustion-related genes obtained from relevant databases to pinpoint candidate genes. Moreover, regression analyses were carried out to refine the prognostic genes. A risk model was established to assess the risk score of BRCA patients. Cox regression analyses were utilized to determine the independent pro

SUBMITTER: Wan H 

PROVIDER: S-EPMC12589231 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature