Network Pharmacology and Bioinformatics-based Study on Mechanism of Resveratrol Against Triple Negative Breast Cancer

OBJECTIVE To explore the potential mechanism of resveratrol against triple negative breast cancer(TNBC). METHODS Databases of PharmMapper, SwissTargetPrediction, SuperPred and DrugBank were used to screen and integrate the potential targets of resveratrol. Then built the TNBC related targets selected by CTD, DisGeNET, and MalaCards databases. Based on the matching results between them, the potential targets for resveratrol against TNBC were obtained. DAVID database was utilized for the enrichment analysis on Gene ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG). Then ultilized STRING database and Cytoscape software to build a protein interaction network between targets, and selected the hub genes and core modules by topology. RESULTS A total of 422 potential targets of resveratrol and 1 799 TNBC-related targets were screened, and a total of 130 potential targets of resveratrol against TNBC were obtained after maching, from which 10 hub genes(MAPK1, MAPK3, TP53, SRC, PIK3CA, AKT1, PIK3R1, MAPK8, PTPN11, JAK2) were further confirmed. The KEGG pathway enrichment analysis showed that targets of resveratrol against TNBC were correlated with PI3K-Akt signaling pathway. CONCLUSION Resveratrol may serves as a multi-target, multi-pathway treatment for TNBC, among which the PI3K/Akt pathway may play an important role. The results provide reference for further research on mechanism of resveratrol in the treatment of TNBC.