However, the Multivariate Cox regression analysis by using enter method failed to demonstrate the level of Sema3C protein as an independent predictor for overall survival of glioma patients (p > 0.05) suggesting that, in addition to the Sema3C protein levels, the combination with other two clinical factors, pathological grade (p < 0.0001) and age (p < 0.0001), is critical for making predictions of the overall survival in glioma. This evidence concerns the gene SEMA3C and central nervous system cancer.