Integrative Analysis of Cuproptosis-Related Mitochondrial Depolarisation Genes for Prognostic Prediction in Non-Small Cell Lung Cancer.

ABSTRACT: In this research, we conducted an in-depth analysis of differentially expressed genes associated with mitochondrial depolarisation in non-small cell lung cancer (NSCLC) using single-cell sequencing. By combining our findings with cuproptosis-related genes, we identified 10 significant risk genes: DCN, PTHLH, CRYAB, HMGCS1, DSG3, ZFP36L2, SCAND1, NUDT4, NDUFA4L2 and RPL36A, using univariate Cox regression analysis and machine learning methods. These genes form the core of our prognosis risk prediction model, which demonstrated high specificity and accuracy in predicting patient outcomes, as evidenced by ROC curve analysis. Kaplan-Meier curves further confirmed that patients in the low-risk group had significantly better survival rates compared to those in the high-risk group. Our models als

SUBMITTER: Lyu G 

PROVIDER: S-EPMC11862892 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature