Ontology highlight
ABSTRACT: Objective
Glioblastoma (GBM) is a highly aggressive brain tumor with complex immune microenvironment and molecular heterogeneity. This study aimed to characterize immune infiltration patterns and identify prognostic biomarkers in GBM.Methods
We classified GBM samples using immune-related gene sets and correlated subtypes with molecular features. Key genes were identified through Cox and LASSO regression analyses. Multi-omics approaches including single-cell RNA sequencing, transcriptional network analysis, and molecular docking were employed to investigate therapeutic targets.Results
Two immune subtypes (c1/c2) were identified, with c2 showing mesenchymal features and poorer prognosis. Four immune-related genes (RPL39L, AEBP1, EFEMP2, GALNT12) were prognostic marker
SUBMITTER: Yin Y
PROVIDER: S-EPMC12484469 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature