ArticleJournal of cancer research and clinical oncology2022
Expression changes in ion channel and immunity genes are associated with glioma-related epilepsy in patients with diffuse gliomas.
Article in Journal of cancer research and clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Prediction of glioma-related epilepsy by Brain Age Index: a multicenter study.Frontiers in neuroscience · 2026Article
- Research progress in glioma-related epilepsy (Review).Biomedical reports · 2025Article
- Explainable Machine Learning Models for Glioma Subtype Classification and Survival Prediction.Cancers · 2025Article
- High-Density Electroencephalography Detects Spatiotemporal Abnormalities in Brain Networks in Patients With Glioma-Related Epilepsy.CNS neuroscience & therapeutics · 2025Article
- Molecular mechanisms and diagnostic model of glioma-related epilepsy.NPJ precision oncology · 2024Article
- Article
- Research trends of glioma-related epilepsy: A bibliometric analysis from 2004 to 2023.Journal of central nervous system disease · 2024Review
- Ligand-Gated Ion Channels: Prognostic and Therapeutic Implications for Gliomas.Journal of personalized medicine · 2023Review
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7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundGlioma-related epilepsy (GRE) is a common symptom in patients with diffuse gliomas. However, the underlying mechanisms of GRE remain unclear. The current study aimed to investigate the underlying epileptogenic mechanisms of GRE through RNA sequencing analysis.
methodsDemographic, RNA sequencing, and follow-up data of 643 patients were reviewed. Patients were divided into test and validation groups (223 and 420 patients, respectively) by different time periods for RNA sequencing. The differentially expressed genes (DEGs) associated with preoperative GRE were identified using R software. Functional enrichment analysis was subsequently performed, and tissue-infiltrating immune cells were also estimated. Weighted correlation network analysis (WGCNA) was conducted to further identify key modules exhibiting the highest correlation with preoperative GRE. Overlapping genes between the DEG set and key gene set identified by WGCNA were selected and verified in the validation cohort. The protein-protein interaction (PPI) network analysis was then constructed to identify hub genes for preoperative GRE.
resultsA total of 219 DEGs were identified, among which 112 were upregulated and 107 downregulated in patients with GRE. Functional enrichment analysis revealed that upregulated DEGs were related to ion channel activity, while downregulated genes were related to immunity. Forty-two genes were further selected from overlapping DEGs and the key gene set. Among these genes, 31 genes showed significant differences in the validation cohort. Finally, the PPI network analysis identified six genes, including SCN3B, KCNIP2, KCNJ11, VEGFA, MMP9, and ANXA2, as hub genes for GRE.
conclusionThe current study revealed that ion channel activity and immunity dysfunction in diffuse glioma patients contributed to the occurrence of GRE, and SCN3B might be a shared therapeutic target for both diffuse gliomas and GRE. These findings could improve the understanding of the mechanisms of GRE and promote individualized medications for glioma management.
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