This study sought to analyze the IDH-WT glioma expression data from The Cancer Genome Atlas (TCGA) [14]⁠ glioblastoma multiforme (GBM) [15, 16]⁠ and low-grade glioma (LGG) [17]⁠ cohorts, using machine learning algorithms, as a means to identify novel expression-based signatures with potential clinical utilities which would also provide novel insight on gliomagenesis. This evidence concerns the gene IDH1 and central nervous system cancer.