Ontology highlight
ABSTRACT: Background
Endometrial carcinoma (EC) poses a significant threat to women's health. Identifying effective prognostic biomarkers and therapeutic targets is essential for improving survival rates in EC patients. This study aimed to identify key regulators involved in EC progression and investigate the biological functions of SIM bHLH transcription factor 2 (SIM2) in EC.Methods
Gene expression profiles and clinical data from EC and control samples were retrieved from the TCGA and GEO databases. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were used to identify genes associated with EC tumorigenesis and progression. The least absolute shrinkage and selection operator (LASSO) method was applied to further screen prognostic genes and c
SUBMITTER: Nie H
PROVIDER: S-EPMC11987308 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature