Fig. 1

One co-differentially expressed gene (co-DEG) was identified and showed an excellent ability to predict clinical diagnosis and prognosis for glioma. a, b The number in every overlapping area represents the amount of differentially expressed genes. Only upregulated co-DEG, ABCA1, was identified from these datasets. c-e The survival probability of glioma in the TCGA database, including OS, DSS, and PFI, were respectively assessed. f-k Overall survivals of LGG (f-g) and GBM (h–k) in the TCGA, CGGA, and GEO databases were also obtained from the BEST database. l-n The survival plot for GBM in the TCGA database, including OS, DSS, and DFI, was attained from the PanCanSurvPlot tool. o The ROC curve implies that ABCA1 owns the diagnostic performance in discerning glioma tissue from normal tissue. Y-axis represents the true positive rate, and X-axis denotes the false positive rate. The numerical value of AUC closer to 1 indicates better diagnostic performance, significantly when exceeding 0.9