Integrative bulk and single-cell transcriptomic profiling identifies core gene networks and potential therapeutic targets in glioma.

ABSTRACT:

Background

Glioma is the most common primary malignant tumor of the central nervous system and is associated with an extremely poor prognosis. Given its highly complex molecular landscape, there is an urgent need to identify novel diagnostic biomarkers. This study systematically identified core glioma genes through multi-cohort integration and single-cell analysis.

Methods

Five Gene Expression Omnibus (GEO) transcriptomic datasets (GSE109857, GSE15824, GSE35158, GSE4290, and GSE90886; 504 samples) were integrated, and batch effects were corrected using ComBat. Differentially expressed genes (DEGs) were identified and combined with weighted gene co-expression network analysis (WGCNA) to obtain candidate modules. Feature genes were further screened using multiple approaches, i

SUBMITTER: Jiang X 

PROVIDER: S-EPMC12817720 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature