Immunogenic cell death-related macrophage gene model for prognostic prediction in glioblastoma.

ABSTRACT: Glioblastoma (GBM) is an extremely aggressive and diverse type of brain tumor that is associated with a poor prognosis. Immunogenic cell death (ICD) is a particular form of cellular demise that is closely linked to antineoplastic immune responses. However, it is important to note that the function of ICD in GBM is not yet fully understood. Utilizing single-cell analysis, AddModuleScore, and weighted gene co-expression network analyses (WGCNA), ICD-related genes were identified at both the bulk transcriptome and single-cell levels. Based on these newly identified ICD-related genes, a novel signature for GBM was developed employing three machine learning methods: LASSO, XGBoost, and RandomForest. This prognostic model comprises four characteristic genes: G0S2, NEUROD1, SERPINE2, and LZTS1. T

SUBMITTER: Mao Y 

PROVIDER: S-EPMC12474771 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature