Single-cell multi-omics uncovers CPS1 as a breast cancer immune evasion therapeutic target.

ABSTRACT: Despite significant advances in early detection and therapeutic interventions, breast cancer persists as the most frequently diagnosed malignancy and the leading cause of cancer-related deaths among women globally. Although multiple prognostic signatures have been proposed, their predictive power and clinical applicability remain limited. In this study, we utilized an integrated approach combining single-cell multi-omics analysis with machine learning to comprehensively examine the clinical relevance of mitochondrial-related gene sets in TCGA-BRCA and developed a mitochondrial gene set scoring system, termed MitoScore. Based on the median of MitoScore, BRCA patients were classified into high-risk and low-risk groups. Our multi-omics analysis revealed that BRCA patients with higher Mitoscor

SUBMITTER: Yue J 

PROVIDER: S-EPMC12533088 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature