Clinical characteristics and influencing factors for survival of patients with epithelioid glioblastoma
10.3760/cma.j.cn115354-20230722-00017
- VernacularTitle:上皮样胶质母细胞瘤患者临床特征及生存时间的影响因素分析
- Author:
Lili ZHOU
1
;
Congcong ZHU
;
Jiyang AN
;
Tiantian QU
Author Information
1. 郑州大学第一附属医院肿瘤科，郑州 450052
- Keywords:
Epithelioid glioblastoma;
Survival analysis;
Clinic characteristic;
Prognosis
- From:
Chinese Journal of Neuromedicine
2023;22(10):1001-1009
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the clinical characteristics of patients with epithelioid glioblastoma (ep-GBM) and their influencing factors for survival.Methods:Sixteen ep-GBM patients admitted to Department of Neurosurgery, First Affiliated Hospital of Zhengzhou University from August 2015 to March 2022 were chosen. Clinical data such as age, gender, maximum tumor diameter, degrees of tumor resection, treatments, and immunohistochemical staining-related indexes were obtained. Survival curves of the patients were plotted by Kaplan-Meier method, and differences of progression-free survival (PFS) and overall survival (OS) among patients with different clinical characteristics were compared. Log-rank test was used to compare the survival rates, and Cox proportional risk regression model was constructed to analyze the influencing factors for PFS and OS.Results:In these 16 patients, median OS was 11.8 months and median PFS was 7.0 months. Significant differences in PFS and OS were noted between groups of age<32 years and age≥32 years, between groups of maximum tumor diameter<4.8 cm and diameter≥4.8 cm, and between groups of positive p53 expression and negative p53 expression ( P<0.05). Log-rank test indicated that OS and PFS ratios were significantly different between groups of age<32 years and age≥32 years, between groups of maximum tumor diameter<4.8 cm and diameter≥4.8 cm, between S100 positive group and S100 negative group, between Olig-2 positive group and Olig-2 negative group, and between groups of positive p53 expression and negative p53 expression ( P<0.05). Cox proportional hazard regression model showed that age ( HR=1.070, 95% CI: 1.013-1.134, P=0.016), preoperative maximum tumor diameter ( HR=2.150, 95% CI: 1.142-4.055, P=0.018) and Olig-2 expression ( HR=0.040, 95% CI: 0.003-0.498, P=0.013) had influences in PFS; preoperative maximum tumor diameter ( HR=2.350, 95%CI: 1.149-4.798, P=0.019) and Olig-2 expression ( HR=0.080, 95% CI: 0.007-0.972, P=0.047) had influences in OS. Conclusion:Older ep-GBM patients are prone to progress after surgery; ep-GBM patients with larger tumor diameter and negative Olig-2 expression likely progress and have poor prognosis after surgery.
