Prognostic factors influencing clinical outcomes of glioblastoma multiforme

Chin Med J (Engl). 2009 Jun 5;122(11):1245-9.

Abstract

Background: Glioblastoma multiforme (GBM) is the most malignant kind of astrocytic tumors and is associated with a poor prognosis. In this retrospective study, we assessed the clinical, radiological, genetic molecular and treatment factors that influence clinical outcomes of patients with GBM.

Methods: A total of 116 patients with GBM who received surgery and radiation between January 2006 and December 2007 were included in this study. Kaplan-Meier survival analysis and Cox regression analysis were used to find the factors independently influencing patients' progression free survival (PFS) time and overall survival (OS) time.

Results: Age, preoperative Karnofsky Performance Scale (KPS) score, KPS score change at 2 weeks after operation, neurological deficit symptoms, tumor resection extent, maximal tumor diameter, involvement of eloquent cortex or deep structure, involvement of brain lobe, Ki-67 expression level and adjuvant chemotherapy were statistically significant factors (P < 0.05) for both PFS and OS in the univariate analysis. Cox proportional hazards modeling revealed that age <or= 50 years, preoperative KPS score >or= 80, KPS score change after operation >or= 0, involvement of single frontal lobe, non-eloquent area or deep structure involvement, low Ki-67 expression and adjuvant chemotherapy were independent favorable factors (P < 0.05) for patients' clinical outcomes.

Conclusions: Age at diagnosis, preoperative KPS score, KPS score change at 2 weeks postoperation, involvement of brain lobe, involvement of eloquent cortex or deep structure, Ki-67 expression level and adjuvant chemotherapy correlate significantly with the prognosis of patients with GBM.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Female
  • Glioblastoma / pathology*
  • Glioblastoma / radiotherapy
  • Glioblastoma / surgery
  • Humans
  • Kaplan-Meier Estimate
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Prognosis
  • Retrospective Studies