Multi-database Based Study of the Pharmacological Mechanisms of Resveratrol in the Treatment of Early Hepatocellular Carcinoma

Abstract

Objective:To analyze the main target genes, key pathways and their mechanisms of action of resveratrol in the treatment of early hepatocellular carcinoma based on multiple databases using a network pharmacology approach.Method:The targets of resveratrol was obtained from the Swiss Target Prediction database; the targets of early hepatocellular carcinoma were obtained from the GeneCards, OMIM and DisGent databases. The compound-target-disease network was constructed using Cytoscape software; the protein interaction network was constructed using STRING database; GO function and KEGG pathway enrichment analysis were performed in R language.Results:Sixty-nine potential targets for resveratrol were obtained through the Swiss Target Prediction database. Searching and de-duplicating the disease database yielded 9682 disease targets for early hepatocellular carcinoma. Seven hundred and fifty four entries were obtained from GO functional enrichment analysis and 99 statistically significant pathways were obtained from KEGG enrichment analysis.Conclusion:The mechanism of action of resveratrol for early hepatocellular carcinoma is a multi-target, multi-pathway interaction. The receptors may be related to SRC, CYP3A4, PIK3CA, CYP1A1, RELA, ESR1 and other targets, and the major signalling pathways may be related to Ovarian steroidogenesis, steroid hormone biosynthesis, chemical carcinogenesis-receptor activation, endocrine resistance, chemical carcinogenesis-DNA adducts, nitrogen metabolism, hepatocellular carcinoma, etc. It provides a theoretical basis for the next in-depth experimental study.

Keywords

• bioinformatics
• early hepatocellular carcinoma
• multi-database
• pharmacological mechanism
• resveratrol