Ontology highlight
ABSTRACT:
SUBMITTER: Zhou S
PROVIDER: S-EPMC12559507 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature

Discover oncology 20251027 1
OBJECTIVE: This study aimed to identify novel diagnostic and prognostic biomarkers in endometrial carcinoma (EC) using integrative bioinformatics and immunohistochemical validation, with a focus on potential therapeutic targets and immune correlations. METHODS: Gene expression profiles from the GEO database (GSE63678 and GSE17025) and EC-related genes from the DisGeNET database were analyzed to identify overlapping differentially expressed genes (DEGs). Protein–protein interaction networks were ...[more]