Construction and validation of a prognostic model for glioma: an analysis based on mismatch repair-related genes and their correlation with clinicopathological features.

ABSTRACT:

Background

Glioma is a prevalent and aggressive form of brain neoplasm, characterized by a 5-year survival rate of less than 10%. Despite the encouraging outcomes demonstrated by numerous prognostic models for gliomas in preliminary research, these models frequently do not meet anticipated results when subjected to external validation. Our goal is to uncover potential prognostic biomarkers and therapeutic targets by concentrating on mismatch repair-related genes (MRRGs) that are significantly linked to glioma.

Methods

We employed least absolute shrinkage and selection operator (LASSO) Cox regression to develop a multigene signature based on MRRGs. The functional implications of the EXO1 gene were evaluated through Gene Ontology (GO), Kyoto Encyclopedia of Genes and Ge

SUBMITTER: Wang T 

PROVIDER: S-EPMC12169988 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature