In our research, we used public cancer databases for data mining and found that most of the MS4A family genes exhibited high expression in glioma tissue compared with those in normal tissue; however, MS4A4A, MS4A4E, MS4A6A, MS4A7, TMEM176A, and TMEM176B showed good predictive power using ROC curve analysis. Here, MS4A4E is linked to glioma.