The MCODE plug-in analyzes the critical modules, and two modules with the highest score are shown in Fig. 7A and C. In KEGG analysis, the first module was mostly clustered in steroid biosynthesis, AMPK signaling pathway, insulin signaling pathway, alcoholic liver disease signaling pathway, while the second module was mostly clustered in focal adhesion, ECM-receptor interaction, PI3K-Akt signaling pathway, amoebiasis, Human papillomavirus infection, central carbon metabolism in cancer (Fig. 7B and D). This evidence concerns the gene AKT1 and cancer.