Identification of inflammation-related genes signature to establish a prognostic model in MGMT unmethylated glioblastoma patients.

ABSTRACT:

Background

Patients with unmethylated O6-methylguanine-DNA methyltransferase promoter (uMGMT) glioblastoma (GBM) have a poor prognosis. Inflammatory response can affect the prognosis, for it may have a significant impact on the tumor microenvironment (TME). This study aims to identify a prognostic signature of inflammation-related genes, which can predict the prognosis of uMGMT GBM patients.

Methods

We examined the gene expression, somatic mutations, and overall survival of 159 GBM patients with uMGMT using the TCGA and CGGA databases. We identified molecular subtypes of uMGMT GBM patients based on the expression of inflammation-related genes. Furthermore, we determined principal component analysis (PCA), gene ontology (GO) analysis, pathway analysis and immune infiltration

SUBMITTER: Mo Y 

PROVIDER: S-EPMC11813837 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature