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ABSTRACT: Background
Glioblastoma multiforme (GBM) is a common and highly aggressive brain tumor with a poor prognosis. However, the prognostic value of ferroptosis-related genes (FRGs) and their classification remains insufficiently studied.Objective
This study aims to explore the significance of ferroptosis classification and its risk model in GBM using multi-omics approaches and to evaluate its potential in prognostic assessment.Methods
Ferroptosis-related genes (FRGs) were retrieved from databases such as FerrDB. The TCGA-GBM and CGGA-GBM datasets were used as training and testing cohorts, respectively. Univariate Cox regression and LASSO regression analyses were performed to establish a risk model comprising five genes (OSMR, G0S2, IGFBP6, IGHG2, FMOD). A Meta-analysis o
SUBMITTER: Wu Y
PROVIDER: S-EPMC11735466 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature