Expression and prognosis of NR3C1 in uterine corpus endometrial carcinoma based on multiple datasets.

ABSTRACT: Uterine corpus endometrial carcinoma (UCEC), a prevalent malignancy in the female reproductive system, has witnessed a 30% increase in recent year. Recognizing the significance of early treatment in reducing patient mortality, the identification of potential biomarkers for UCEC plays a crucial role in early diagnosis. This study was to identify key genes associated with UCEC utilizing the Gene Expression Omnibus database, followed by validating their prognostic value across multiple databases. Analysis of four UCEC databases (GSE17025, GSE36389, GSE63678, GSE115810) yielded 72 co-expressed genes. KEGG and GO enrichment analyses revealed their involvement in physiological processes such as transcriptional misregulation in cancer. Constructing a protein-protein interaction network for these

SUBMITTER: Shen Y 

PROVIDER: S-EPMC11926321 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature