Preliminary Study On Prognostic Mathematical Model Of Gliomas Based On Relevant Gene Expression

Objective To evaluate the mRNA level of Nestin,EGFR,Bcl-2 and VEGF gene in different malignancy grades of glioma .Set up a mathematical model to evaluate prognosis and provide the theoretic evidence for the selection of the treatments in gliomas.Methods 80 glioma tissues were collected from 2003 to 2007,all patients were followed-up. The transcriptional levels of Nestin,EGFR,Bcl-2 and VEGF were measured by Real-time fluorescence quantitative PCR. For the univariate analysis, survival probabilities were estimated based on Kaplan-Meier survival analysis and Log rank test. Multivariate regression analysis using Cox's proportion-hazards model showed the simultaneous effect of outcome-related variables on survival.Results The transcriptional levels of Nestin,EGFR,Bcl-2 and VEGF were significant up-regulated in high grade gliomas compared with low grade gliomas.Univariate analysis demonstrate that the patient's age,KPS score,extent of resection,histological grade and the expression of Nestin,EGFR,Bcl-2 and VEGF mRNA were the significant factors for suivival(P<0.05).Multivariate survival analysis showed that KPS score,histological grade,the expression of Nestin and VEGF were independent ,statistically significant prognostic factors for patients with glioma. Finally, the mathematical model acquired is PI=1.7* histological grade -1.2*KPS score +1.2* expression of VEGF +1.1* expression of Nestin.Conclusion The transcriptional levels of Nestin,EGFR,Bcl-2 and VEGF were significantly different between high grade gliomas and low grade gliomas . KPS score,histological grade,the expression of Nestin and VEGF are associated strongly with survival. According to PI of individuals, the different risks of survive can be distinguished.