Consistently, the confusion matrix statistics showed that the normal and tumor samples can be reliably separated using gene expression data for CD2AP, GRB2, WASL, SRC, CTTN, CAPZA1, and Tks4 with 97% sensitivity and 80% specificity (Supplementary Figure S2; Figure 6A). The gene discussed is SH3PXD2B; the disease is neoplasm.