Foundation of preoperative prognosis estimation model for glioblastoma multiforme

Objective This study explored the preoperative prognostic factors of patients with glioblastoma multiforme (GBM) in order to propose a preoperative prognosis estimation model. Methods The clinical data of 416 patients diagnosed with GBM in Beijing Tiantan Hospital affiliated to Capital Medical University from 2008 to 2015 were retrospectively reviewed.A total of nine factors: gender, age, duration of symptoms, preoperative epilepsy, preoperative muscle weakness, preoperative headache, preoperative KPS score, tumor location and tumor diameter were enrolled in the survival analysis.The significant factors identified by Kaplan-Meier plot were further collected in the multivariate Cox regression analysis.On the basis of multivariate analysis results, a preoperative prognosis estimation model was founded. Results Univariate analysis showed that Age ≥50 years, without preoperative epilepsy, tumor located in non-frontotemporal lobe, tumor diameter ≥6 cm and preoperative KPS score <70 were prognostic risk factors (P<0.05). Multivariate analysis revealed that Age ≥50 years, without preoperative epilepsy, tumor located in non-frontotemporal lobe were independent risk factors (P<0.05). The prognostic estimation model based on the independent risk factors divided the whole cohort into three subgroups with different survival (P<0.001). Conclusions The more risk factors, the higher score but poorer prognosis. Patients in the high-risk group had lower gross total resection degree but higher rate of postoperative complications, which suggested that aggressive resection was not suitable for high-risk patients. Key words: Glioblastoma multiforme; Preoperative; Prognosis; Model