Multilayered insights into the full spectrum of diffuse gliomas: a novel prognostic evaluation model.

ABSTRACT:

Background

The intrinsic heterogeneity and invasiveness of diffuse gliomas complicate accurate prognosis. Existing approaches are largely constrained by subtype specificity or limited analytical dimensions. To address this gap, a multi- dimension-based prognostic framework encompassing the full glioma spectrum was developed, accompanied by an analysis of the associated immune microenvironment.

Methods

A total of 3,323 glioma samples from the SEER (n = 2181), CGGA (n = 807), and TCGA (n = 335) datasets were integrated. Differentially expressed genes were screened using the limma package, and a Lasso-Cox-based prognostic signature (Glioma-GDPM) was established. Clinical variables such as age, grade, and IDH mutation status were harmonized through propensity score matching to c

SUBMITTER: Cao X 

PROVIDER: S-EPMC12480193 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature