Prognostic and therapeutic response prediction in glioblastoma multiforme using a lactylation-associated gene signature.

ABSTRACT:

Background

Glioblastoma (GBM) is a highly aggressive brain tumor characterized by immunosuppressive tumor microenvironment and metabolic reprogramming. Dysregulated lactate metabolism has been observed in the glioma microenvironment, yet the functional roles of lactate accumulation and lactylation modification in driving GBM progression remain poorly understood.

Methods

We identified core genes associated with lactylation by analyzing gene expression data from GBM tumor tissues and normal tissues, combined with the screening of lactylation-related genes. Utilizing LASSO regression analysis, we developed an optimized five-gene lactylation-related signature, validated within the CGGA cohort. Patients were categorized into high- and low- LRGS groups based on risk scores. Subseq

SUBMITTER: Zhu H 

PROVIDER: S-EPMC12748479 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature