From Data to Decision: Integrating Bioinformatics into Glioma Patient Stratification and Immunotherapy Selection.

ABSTRACT: Gliomas are notoriously difficult to treat owing to their pronounced heterogeneity and highly variable treatment responses. This reality drives the development of precise diagnostic and prognostic methods. This review explores the modern arsenal of bioinformatic tools aimed at refining diagnosis and stratifying glioma patients by different malignancy grades and types. We perform a comparative analysis of software solutions for processing whole-exome sequencing data, analyzing DNA methylation profiles, and interpreting transcriptomic data, highlighting their key advantages and limited applicability in routine clinical practice. Special emphasis is placed on the contribution of bioinformatics to fundamental oncology, as these tools aid in the discovery of new biomarker genes and potential ta

SUBMITTER: Sleptsova E 

PROVIDER: S-EPMC12841107 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature