Abstract
PURPOSE: Human hepatocellular carcinoma (HCC) is one of the most mortal tumor. In a previous study, we had constructed glycoprotein expression profiles and glycoprotein databases of three human liver cancer cell lines with diverse metastasis potential. In order to discover vital glycoproteins related to pathogenesis and metastasis of HCC, in this study we analyzed previous data with bioinformatic approach. METHODS: We took previous data to draw the protein-protein interaction (PPI) networks of liver cell lines by searching IntACT database and then using Pajeck software. Further more, we compared the differences between the three PPI networks by drawing the PPI networks of differential glycoproteins and by naming differential display PPI networks. RESULTS: Large numbers of proliferation and apoptosis-relative proteins interact with the differential glycoproteins, and among the differential glycoproteins there are many interactions. CONCLUSIONS: We conclude that neither single nor several proteins cause malignant proliferation of liver cells. "Molecule groups" concept should be introduced into diagnosis and metastasis prediction of the HCC.