Evidence map›Paper›PMID 41180518›Full record

ArticleFrontiers in neurology2025

Prognostic modeling of glioma using epilepsy-related genes highlights PAX3 as a regulator of migration and vorinostat sensitivity.

Wei Lin, Haoming Lin, Yaqi Zheng, Jin Wang, Junliang Li, Rui Yang, Zhongfei Zhang, Xiaoping Liu, Xinke Xu

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Wei Lin *Department of Neurosurgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Haoming Lin *Department of Neurosurgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yaqi Zheng *Department of Operating Room, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Jin WangSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Junliang LiDepartment of Neurosurgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Rui YangDepartment of Neurosurgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Zhongfei ZhangDepartment of Neurosurgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Xiaoping LiuThe Department of Hematology and Oncology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Xinke XuDepartment of Neurosurgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to construct and validate a prognostic model for glioma based on epilepsy-related genes (ERGs) and to investigate the functional role of PAX3 in glioma progression and drug response. Transcriptomic and clinical data from TCGA, GEO, and CGGA databases were used to identify differentially expressed ERGs between glioma patients with and without epilepsy. Univariate Cox regression, LASSO regression, and multivariate Cox analysis were employed to establish a four-gene prognostic model comprising PAX3, RETN, VEPH1, and HTR1A. Patients were stratified into high- and low-risk groups based on the median risk score, which was calculated using gene expression levels and corresponding regression coefficients. The model showed robust prognostic performance, with AUC values exceeding 0.85 in the training set and remaining above 0.73 in internal and external validation cohorts. Kaplan-Meier survival analysis demonstrated significantly longer overall survival in the low-risk group. The risk score was also validated as an independent prognostic factor across multiple datasets. A nomogram integrating clinical features and risk score further improved prediction accuracy, with C-index values up to 0.843 and high calibration concordance. Among the ERGs, PAX3 showed the strongest correlation with the risk score and was overexpressed in glioma, where it promoted proliferation, migration, epithelial-mesenchymal transition, and resistance to vorinostat through regulation of HDAC1/2/3 targets, as confirmed by functional assays showing that PAX3 knockdown suppressed proliferation and migration, while overexpression enhanced these effects. In conclusion, this study developed and validated a four-gene ERG-based prognostic model with high clinical utility and identified PAX3 as a potential therapeutic target that drives glioma cell migration and vorinostat sensitivity.

Indexed as

epilepsyepilepsy-related genesgliomaPAX3prognostic model

Identifiers

PMID41180518
PMCPMC12576345

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