The analysis of prognostic factors for glioblastoma multiforme

Abstract

Objective To investigate the clinical factors influencing prognosis of glioblastoma multiforme (GBM). Methods This study included 198 patients with newly diagnosed primary glioblastoma treated from January 2008 to January 2013 treated at our hospital.Kaplan-Meier method was used to analyze the 11 factors related to prognosis, with Cox multivariate regression analysis. Results Following a univariate regression analysis, with no epilepsy before operation, good preoperative Karnofsky performance status, location of tumor, extent of resection, postoperative Concurrent chemoradiotherapy and postoperative intracranial infection associated with better overall survival rates(P<0.05). Multivariate Cox regression analysis found that extent of resection, location of tumor, KPS, postoperative concurrent chemoradiotherapy and postoperative intracranial infection were independent prognostic factors for the survival(P<0.05). Conclusion Extent of resection, location of tumor, postoperative KPS, concurrent chemoradiotherapy were independent prognostic factors influencing the survival. It is likely that the patients with intracranial infection postoperatively have more prolonged survival because infection can stimulate immune response to tumor. Key words: Intracranial infection; Extent of resection; Glioblastoma; Prognosis