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Dataset Information

Differential gene expression underlying epileptogenicity in patients with gliomas.


ABSTRACT:

Background

Seizures are a common sequela for patients suffering from gliomas. Molecular properties are known to influence the initiation of seizures that may influence tumor growth. Different levels of gene expression with seizures related to gliomas remain unclear. We analyzed RNA sequencing of gliomas to further probe these differences.

Methods

Total RNA sequencing was obtained from The Cancer Genome Atlas-Lower-Grade Glioma project, comprised of 2021 World Health Organization classification low-grade gliomas, including IDH-mutant and IDH-wild type, to distinguish differential expression in patients who did and did not experience seizures. Utilizing QIAGEN Ingenuity Pathways Analysis, we identified canonical and functional pathways to characterize differential expression.<

SUBMITTER: Mortazavi A 

PROVIDER: S-EPMC11252565 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature