Interferon-stimulated gene subtypes as key indicators of immune landscape and survival outcomes in ovarian cancer.

ABSTRACT:

Purpose

Ovarian cancer (OV) remains the most lethal gynecological malignancy, underscoring the critical need for robust prognostic biomarkers to enhance patient outcomes. In this study, we classified OV patients by their interferon-stimulated gene (ISG) expression profiles and investigated the associations between these subtypes, the immune microenvironment, and survival outcomes.

Methods

We employed consensus clustering in the TCGA-OV cohort (n = 376) to classify patients into ISG-related subgroups. Survival analysis, differential gene expression (DESeq), KEGG and GSEA pathway enrichment analyses, genomic variation assessments, immune cell profiling using the CIBERSORT algorithm, and TIDE analysis were conducted in the TCGA-OV cohort. In addition, immune checkpoint marker e

SUBMITTER: Luo W 

PROVIDER: S-EPMC11655714 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature