Identification and validation of genes associated with prognosis of cisplatin-resistant ovarian cancer.

ABSTRACT:

Purpose

To investigate the role of prognostic genes related to cisplatin resistance in ovarian cancer during disease progression.

Method

The gene expression profile of the NCI-60 cell line was acquired through comprehensive analysis of the GEO database accession GSE116439. We performed a thorough analysis of gene expression differences in samples from seven individuals exposed to cisplatin concentrations of 0 nM compared to seven samples exposed to 15000 nM over a 24-h period. Key genes were initially identified through LASSO regression, followed by their enrichment through differential gene function analysis (GO) and pathway enrichment analysis (KEGG). Subsequently, a prognostic risk model was established for these key genes. The prognostic model's performance was assessed

SUBMITTER: Liu D 

PROVIDER: S-EPMC11302001 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature