The construction of a novel prognostic prediction model for glioma based on GWAS-identified prognostic-related risk loci.

ABSTRACT:

Backgrounds

Glioma is a highly malignant brain tumor with a grim prognosis. Genetic factors play a role in glioma development. While some susceptibility loci associated with glioma have been identified, the risk loci associated with prognosis have received less attention. This study aims to identify risk loci associated with glioma prognosis and establish a prognostic prediction model for glioma patients in the Chinese Han population.

Methods

A genome-wide association study (GWAS) was conducted to identify risk loci in 484 adult patients with glioma. Cox regression analysis was performed to assess the association between GWAS-risk loci and overall survival as well as progression-free survival in glioma. The prognostic model was constructed using LASSO Cox regression analysis

SUBMITTER: Wei J 

PROVIDER: S-EPMC10996933 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature