Exploring the mechanism of Rubia cordifolia-Glehnia littoralis in the Treatment of lung cancer based on network pharmacology and Molecular docking technology
Objective To investigate the potential targets and molecular mechanisms of the Rubia cordifolia-Glehnia littoralis in the treatment of lung cancer by using network pharmacology and bioinformatics methods.Methods The active ingredients and targets of the Rubia cordifolia-Glehnia littoralis were screened by TCMSP database,and the targets were standardized using Uniprot database;the target related to lung cancer were obtained from DisGeNET and GeneCards databases and integrated after de-emphasis;the ingredient-disease-target network was constructed by using Venny platform and Cytoscape 3.9.1 software.The key targets and signaling pathways were screened by PPI,GO,and KEGG enrichment analyses;combined with molecular docking technology,the binding patterns of drugs and core targets were analyzed,and the relationship between the expression of relevant targets and the prognosis of lung cancer patients was further analyzed by GEPIA data base.Results A total of 18 active incredients and 1328 lung cancer-related targets were screened,among which 5 core ingredients and 10 core targets(such as TP53,AKT1,etc)showed strong association.These targets were mainly enriched in key signaling pathways such as MAPK and TNF.Molecular docking analysis showed that there was a better binding affinity between core ingredients and the core targets.The results of GEPIA2 database analysis showed that genes such as BCL2 and PTGS2 were significantly associated with lung cancer prognosis,and patients with low expression of BCL2 or PTGS2 had a better prognosis(P<0.05),which may be a potential target of the action of the Rubia cordifolia-Glehnia littoralis in the treatment of lung cancer.Conclusion The Rubia cordifolia-Glehnia littoralis may exert its anti-lung cancer effect by regulating biological processes such as cell proliferation,apoptosis,invasion,and inflammation response through the modulation of multiple signaling pathways.
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