Bioinformation study of immune microenvironment characteristics of disulfidptosis-related subtypes in ovarian cancer and prognostic model construction.

ABSTRACT:

Objective

Ovarian cancer significantly impacts women's reproductive health and remains challenging to diagnose and treat. Despite advancements in understanding DNA repair mechanisms and identifying novel therapeutic targets, additional strategies are still needed. Recently, a novel form of cell death called disulfidptosis, which is triggered by glucose deprivation, has been linked to treatment resistance and changes in the tumor microenvironment (TME). However, its role in ovarian cancer is not well understood.

Methods

Bioinformatics analysis was performed on RNA-seq data from TCGA and GEO databases to identify disulfidptosis-related genes in ovarian cancer. Differential expression analysis and pathway enrichment were conducted, followed by the development of a prognostic mo

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC11711411 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature