Clinical Efficacy of Vaccaria Segetalis Seeds and Gleditsia Sinensis Lam
Thorns on Prostate Cancer: A Preliminary Mechanism Analysis Based on
Network Pharmacology
{"title":"Clinical Efficacy of Vaccaria Segetalis Seeds and Gleditsia Sinensis Lam\nThorns on Prostate Cancer: A Preliminary Mechanism Analysis Based on\nNetwork Pharmacology","authors":"Cheng-Yu Wu, Hsiu-Hsien Huang, Qiao Li, Lei Zhang","doi":"10.2174/1570180820666230502152114","DOIUrl":null,"url":null,"abstract":"\n\nThe mechanism of Vaccaria segetalis (VS) seeds and Gleditsia sinensis Lam (GS)\nthorns in the treatment of prostate cancer (PC) was analyzed via network pharmacological analysis\nmethods and molecular docking.\n\n\n\nThe Traditional Chinese Medicine Systems Pharmacology Database Platform (TCMSP) was\nused to screen the PC’s effective components and targets; GeneCards and OMIM databases to search for\ntargets related to PC. The intersection target was uploaded to the STRING database to obtain a proteinprotein\ninteraction (PPI) network; and the key targets were screened from the PPI network via R language,\nCytoNCA, and CytoHubba tools. Gene Ontology (GO) and Kyoto encyclopedia of genes and genome\n(KEGG) pathway enrichment tools were used to analyze biological processes and molecular docking\nof key targets via AutoDock Vina software.\n\n\n\nA total of 13 compounds, 229 nodes, 879 edges, and 20 key targets were obtained through the\nPPI network. Go and KEGG analysis showed that the intersection targets of VS and GS with PC were\nmainly involved in regulating cell promotion, cell apoptosis, cell cycle, and reversing epithelialmesenchymal\ntransition (EMT) processing. Molecular docking revealed that the relevant targets of potential\nPC were characterized with stabilized affinity. Specifically, the targets with better affinity included\nestrogen receptor 1 (ESR1) with kaempferol, transcription factor p65 (RELA) with fisetin, kaempferol,\nquercetin, and mitogen-activated protein kinase 1 (MAPK1) with fisetin, and G1/S-specific cyclin-D1\n(CCND1) with fisetin, kaempferol, and quercetin.\n\n\n\nIn summary, this study reveals potential molecular therapeutic mechanisms of VS and GS in\nPC and provides a reference for the wide application of VS and GS in the clinical management of PC.\n","PeriodicalId":18063,"journal":{"name":"Letters in Drug Design & Discovery","volume":"54 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Letters in Drug Design & Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1570180820666230502152114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The mechanism of Vaccaria segetalis (VS) seeds and Gleditsia sinensis Lam (GS)
thorns in the treatment of prostate cancer (PC) was analyzed via network pharmacological analysis
methods and molecular docking.
The Traditional Chinese Medicine Systems Pharmacology Database Platform (TCMSP) was
used to screen the PC’s effective components and targets; GeneCards and OMIM databases to search for
targets related to PC. The intersection target was uploaded to the STRING database to obtain a proteinprotein
interaction (PPI) network; and the key targets were screened from the PPI network via R language,
CytoNCA, and CytoHubba tools. Gene Ontology (GO) and Kyoto encyclopedia of genes and genome
(KEGG) pathway enrichment tools were used to analyze biological processes and molecular docking
of key targets via AutoDock Vina software.
A total of 13 compounds, 229 nodes, 879 edges, and 20 key targets were obtained through the
PPI network. Go and KEGG analysis showed that the intersection targets of VS and GS with PC were
mainly involved in regulating cell promotion, cell apoptosis, cell cycle, and reversing epithelialmesenchymal
transition (EMT) processing. Molecular docking revealed that the relevant targets of potential
PC were characterized with stabilized affinity. Specifically, the targets with better affinity included
estrogen receptor 1 (ESR1) with kaempferol, transcription factor p65 (RELA) with fisetin, kaempferol,
quercetin, and mitogen-activated protein kinase 1 (MAPK1) with fisetin, and G1/S-specific cyclin-D1
(CCND1) with fisetin, kaempferol, and quercetin.
In summary, this study reveals potential molecular therapeutic mechanisms of VS and GS in
PC and provides a reference for the wide application of VS and GS in the clinical management of PC.