Glioma-related epilepsy in patients with newly diagnosed and recurrent glioblastoma, IDH-wildtype: a study under the 2021 WHO CNS tumor classification
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: The 2021 classification of central nervous system tumors significantly alters the defined category of glioblastoma (GBM). This study aims to evaluate the clinical relevance of glioma-related epilepsy (GRE) in patients with the newly classified GBM, IDH-wildtype. METHODS: A single-center retrospective cohort study was performed. The correlation of GRE with clinicopathological features was explored via appropriate inter-group statistical methods. Kaplan-Meier analysis was employed to assess the prognostic value of preoperative GRE with respect to overall survival (OS) and progression-free survival (PFS). Multivariate binary logistic regression analysis was carried out to identify potential risk factors associated with inadequate seizure control. RESULTS: The final cohort included 294 patients. Preoperative GRE was observed in 22.4% of newly diagnosed and 19.7% of recurrent GBM cases. In patients with newly diagnosed GBM, GRE was significantly associated with younger age (p < 0.001). Moreover, survival analysis confirmed the prognostic significance of preoperative GRE for improved OS and PFS (p = 0.012 and 0.004, respectively) in the same population. Moreover, in newly diagnosed GBM cases, preoperative GRE was identified as the independent risk factor for inadequate postoperative seizure control (OR 4.009, 95% CI 1.447–11.106, p = 0.008). CONCLUSION: The current study comprehensively describes the clinical correlations of GRE in GBM, IDH-wildtype. The incidence of preoperative GRE in GBM patients is approximately 20%. Among patients with newly diagnosed GBM, IDH-wildtype, preoperative GRE is more likely to occur in younger individuals and is associated with prolonged survival outcomes. Furthermore, a history of preoperative GRE may increase the risk of inadequate postoperative seizure control in this population.
Source: BMC Cancer
Authors: Xing Fan, Jianli Dai, Jiajia Liu, Gan You, Ke Li, Shengyu Fang, Jiahan Dong, Jiawei Shi, Jiangwei Wang
Language: English
Subfield: Genetics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,390
OpenAlex ID: W4417012766
