Molecular characterization of macrophage-related prognostic factors in glioblastoma revealed by combined analysis on single-cell and bulk transcriptome data.

ABSTRACT:

Background

Glioblastoma (GBM) is an aggressive primary tumor in the brain. The use of single-cell transcriptomic analysis can help to identify distinct cell subtypes and their functional states, and offer potential for advancing personalized therapeutic strategies for GBM.

Methods

Single-cell data were preprocessed using the Seurat and Harmony packages, and differentially expressed genes (DEGs) were identified via the FindAllMarkers function. The high-dimensional WGCNA was carried out on the myeloid cells of single-cell data to screen out the macrophage-related modules, followed by performing enrichment analysis on the module genes with clusterProfiler package. Through univariate Cox-LASSO regression with package survival, the module genes were further screened and compresse

SUBMITTER: Wei Z 

PROVIDER: S-EPMC12546233 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature