Single-sample gene set enrichment analysis reveals the clinical implications of immune-related genes in ovarian cancer.

ABSTRACT:

Purpose

Ovarian cancer (OC) is a common gynecological malignancy with poor prognosis and substantial tumor heterogeneity. Due to the complex tumor immune microenvironment (TIME) among ovarian cancer, only a few patients have an immune response to immunotherapy. To investigate the differences in immune function and identify potential biomarkers in OC, we established a prognostic risk scoring model (PRSM) with differential expression of immune-related genes (IRGs) to identify critical prognostic IRG signatures.

Methods

Single-sample gene set enrichment analysis (ssGSEA) was used to investigate the infiltration of various immune cells in 372 OC patients. Then, COX regression analysis and Lasso regression analysis were used to screen IRGs and construct PRSM. Next, the immunother

SUBMITTER: Gong W 

PROVIDER: S-EPMC11330791 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature