A model of molecular characteristics to classify WHO Grade III glioma patients

Combing WHO classification and molecular characteristics to analysis gliomas more and more important. But Grade III glioma samples have a big difference within the group had not been reported as far as we know. In this study, we proposed a model to evaluate diagnosis and prognosis of Grade III glioma patients, and two independent datasets indicated that the model has a good predictive ability. Therefore, this strategy provides a new method to assist diagnosis and treatment of Grade III glioma patients. There are 225 samples. Gene expression profiling analysis of these samples was performed using Agilent 4x44K human whole genome gene expression microarray.