Figure 1. Expression and diagnostic performance of IQGAP3 in glioma. (A) The mRNA expression levels of IQGAP3 in GBMLGG, LGG, GBM, and normal brain tissue samples based on TCGA data, respectively. (B) Differential expression of IQGAP3 in different grades of WHO glioma, the relationship between IQGAP3 expression and IDH mutation, 1p/19q co-deletion in glioma. (C) Protein expression levels of IQGAP3 in gliomas were analyzed using immunohistochemical images from the HPA database. It should be noted that the database does not provide magnification and size information for IHC images. Therefore, we regret that it is not possible to label the scale bars. (D) The tSNE plots of various glioma cell types in the GSE182109 dataset. (E) IQGAP3 expression in different cell types. (F) AUC of ROC curves verified the diagnostic performance of IQGAP3 in glioma with high diagnostic accuracy (AUC: 0.9–1.0). ***p < 0.001.