Bioinformatics analysis of Astragalus membranaceus on the treatment of prostate cancer
Journal Title: TMR Integrative Medicine - Year 2021, Vol 5, Issue 6
Abstract
Objective: Prostate cancer (PCa) is the second most common male malignancy tumor in the world, and the occurrence rate and the mortality of PCa keeps increasing nowadays, exploration of accurate biomarker and predict clinical outcome of PCa is of great significance. Traditional Chinese medicine Huangqi (Astragalus membranaceus , AM) has been widely used for PCa treatment in China, while the pharmacological mechanisms are still unclear. The current paper intend to perform a network pharmacology analysis to reveal the mechanism of the effects of AM in PCa. Methods: Traditional Chinese Medicine Systems Pharmacology Database (TCMSP) was used to obtain chemical constituents of AM. PCa-related target genes were collected via OMIM and GeneCards databases. PCa-AM common target protein interaction network was established by the STRING database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to further explore the PCa mechanism and therapeutic effect of AM. The network diagrams of the active component-action target and protein-protein interaction (PPI) networks were constructed using Cytoscape software. Results: A total of 20 active ingredients contained and 462 putative identified target genes were screened from AM, of which 46 overlapped with the targets of PCa and were considered potential therapeutic targets. The analysis of the network results showed that the AM activity components quercetin, kaempferol, isorhamnetin, 3,9-di-O-methylnissolin and 7-O-methylisomucronulatol have a good binding activity with top ten screened targets, such as MYC, AKT1, CCND1, MAPK1,CASP3, EGFR, ESR1, VEGFA, ERBB2 and IL-6. GO and KEGG analyses revealed that these targets were associated with proteoglycans in cancer, virus infection, microRNAs in cancer, PI3K-Akt signaling pathway, and other biological process. Conclusion: This study demonstrated the multicomponent, multitarget, and multichannel characteristics of AM, which provided a novel approach for further research of the mechanism of AM in the treatment of PCa.
Authors and Affiliations
Shan-Qi Guo, Yao Zhang, Xiao-Jiang Li, Ying-Jie Jia
Keywords
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- EP ID EP692592
- DOI 10.12032/TMRIM202105006
- Views 152
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