From the transcriptome data analysis results in the public database (Table S3), it was found that CDK4, PBK, ANGPTL2, TMEM100, and MEX3A were significantly up-regulated in the glioma samples compared with the normal samples, whereas NEGR1 and SLC2A3 were down-regulated in the glioma samples at the mRNA level. Here, SLC2A3 is linked to central nervous system cancer.