Development and evaluation of an ovarian cancer prognostic model based on adaptive immune-related genes.

ABSTRACT: The adaptive immune system plays a vital role in cancer prevention and control. However, research investigating the predictive value of adaptive immune-related genes (AIRGs) in ovarian cancer (OC) prognosis is limited. This study aims to explore the functional roles of AIRGs in OC. Transcriptomic, clinical-pathological, and prognostic data for OC were downloaded from public databases. Differential expression analysis, univariate, and Lasso Cox regression analyses were utilized to construct a risk signature. Kaplan-Meier survival analysis, enrichment analysis, somatic mutation analysis, immune infiltration analysis, and drug sensitivity analysis were performed to characterize differences between high-risk and low-risk groups. Independent prognostic factors were identified through multivaria

SUBMITTER: Shi H 

PROVIDER: S-EPMC11977725 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature