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ABSTRACT: Background
Gliomas are aggressive central nervous system tumors with limited understanding of their molecular drivers. Identifying novel prognostic and therapeutic biomarkers remains crucial.Methods
Using TCGA, GTEx, GEO, and CGGA datasets, we performed differential expression, Cox regression, and LASSO analyses to identify prognostic genes. IFI44, one of eight significant candidates, was analyzed for its association with survival, clinical features (IDH mutation, 1p/19q codeletion) and tumor immune microenvironment. Functional assays were conducted to evaluate its effects on glioma cell proliferation, migration, and invasion.Results
Transcriptomic analysis of 1,142 normal and 398 glioma samples identified 61 consistently dysregulated genes, predominantly enriched i
SUBMITTER: Jin D
PROVIDER: S-EPMC12673984 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature