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Dataset Information

Identification of a ferroptosis- and oxidative stress-associated gene signature for prognostic stratification of ovarian cancer.


ABSTRACT:

Background

Studies have shown that ferroptosis- and oxidative stress-related genes (FORGs) perform crosstalk in ovarian cancer (OC). The specific role of FORGs in OC, however, remains unclear. We aimed to develop a molecular subtype and prognostic model associated with FORGs that could predict OC prognosis and evaluate the infiltration of tumor-associated immune cells.

Methods

Gene expression samples were collected from the GEO (GSE53963) and Cancer Genome Atlas (TCGA) databases. Kaplan-Meier analysis was used to evaluate prognostic efficacy. Unsupervised clustering was applied to identify molecular subtypes, which was followed by tumor immune cell infiltration and functional enrichment analyses. Subtype-related differentially expressed genes (DEGs) were identified and used

SUBMITTER: Li S 

PROVIDER: S-EPMC10182495 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature