Based on Network Pharmacology and Bioinformatics to Explore the Mechanism of Bazhen Decoction in the Treatment of Clear-Cell Renal Cell Carcinoma

Abstract Objective: To explore the mechanism of Bazhen Decoction in the treatment of Clear-cell renal cell carcinomaCRCC）through the methods of network pharmacology and bioinformatics.Methods: The active ingredients of Bazhen decoction were identified through TCMSP, Targets of each active ingredients were accessed through TCMSP and Swiss Target Prediction. The target gene by CRCC was obtained from GEO database and interlinked of both active ingredient and cancer gene was performed to obtain drug-disease protein target gene. Cytoscape 3.7.1 software was used to draw the active ingredient-target network. The protein interaction network was drawn using the String database and Cytoscape 3.7.1 software. Gene Ontology (GO) and KEGG pathway analysis on the target were performed using R language.Results: From analysis, 160 of active ingredients were found from Bazhen Decoction with 5002 of predicted targets; 544 of disease targets and 39 drug-disease protein target genes.Network analysis on drug-disease protein interaction found out the targets were mainly involve mechanisms such as positive regulation of angiogenesis, positive regulation of vasculature development, epithelial cell proliferation,growth factor receptor and growth factor binding activity, as well as prostanoid receptor binding activity. Treatment of clear-cell renal cell carcinoma can be controlled through regulating the signaling pathways in relation to bladder cancer, MicroRNAs in cancer, focal adhesion, Human cytomegalovirus infection, Ovarian steroidogenesis and HIF-1 signaling pathway.Conclusion: The mechanism of Bazhen Decoction in the treatment of CRCC reflects the characteristics of multiple ingredients, multiple targets, and multiple pathways of traditional Chinese medicine. The findings from this study able to provide a theoretical basis on anti-cancer mechanism.