Subsequently, ROC curve analysis suggested that the AUC values of WWTR1, STEAP3, SLC39A14, NOTCH2, IREB2, HIF1A, and FANCD2 were all 1.000, indicating their potential as diagnostic biomarkers for gliomas (Fig. 4A and Supplementary Fig. 1). The gene discussed is SLC39A14; the disease is glioma.