In this study, bioinformatics methods were used to analyze the clinically relevant information of glioma samples in the TCGA database, it was found that the expression level of CHRNA9 was correlated with the patients' WHO grade, IDH status, 1p/19q codeletion, Primary therapy outcome, and Age. This evidence concerns the gene CHRNA9 and glioma.