Background:To predict the effective targets of Kang’ai injection and analyze the pharmacological mechanism for the treatment of breast cancer based on the method of network pharmacology.Methods:The Traditional Chines...Background:To predict the effective targets of Kang’ai injection and analyze the pharmacological mechanism for the treatment of breast cancer based on the method of network pharmacology.Methods:The Traditional Chinese Medicine Systems Pharmacology database was used to predict the effective components of the Chinese patent medicine Kang’ai injection,and GeneCards database,Online Mendelian Inheritance in Man database and the Therapeutic Target Database were used to predict the therapeutic targets of breast cancer.Cytoscape 3.7.2 was used to construct active ingredient-disease-target network.String database and Cytoscape 3.7.2 software were used to draw the protein-protein interaction network and obtain the core target.Bioconductor and R language were used to analyze the effective action target for gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis.Results:There were 42 effective active ingredients in the Chinese patent medicine Kang’ai injection,which acted on 105 targets,and it had 32 components that acted on 96 targets associated with breast cancer.The target regulates various biological processes such as inflammation,angiogenesis,apoptosis and cell proliferation,and regulates pathways such as PI3K-Akt signaling pathway,MAPK signaling pathway,AGE-RAGE signaling pathway in diabetic complications and thyroid hormone signaling pathway through gene ontology and Kyoto Encyclopedia of Genes and Genomes analysis.Conclusion:The treatment of breast cancer with the Chinese patent medicine Kang’ai injection is a complex mechanism process with multiple targets,multiple pathways,and multiple choices,which provides a theoretical basis for the further extraction of effective components in the treatment of breast cancer.展开更多
Objective:To study the mechanism of Chinese herbal medicine Fuzheng Kang’ai Formula(FZKA)on tumor microenvironment(TME).Methods:CIBERSORTx was used for analysis of TME.Traditional Chinese Medicine Systems Pharmacolog...Objective:To study the mechanism of Chinese herbal medicine Fuzheng Kang’ai Formula(FZKA)on tumor microenvironment(TME).Methods:CIBERSORTx was used for analysis of TME.Traditional Chinese Medicine Systems Pharmacology and Analysis Platform was applied to identify compounds-targets network and the Cancer Genome Atlas(TCGA)was employed to identify the differential expression genes(DEGs)between tumor and paracancerous tissues in lung adenocarcinoma(LUAD)from TCGA-LUAD.Additionally,DEGs with prognosis in LUAD was calculated by univariable and multivariate Cox regression.The core targets of FZKA were analyzed in lung adenocarcinoma TME.Protein-protein interaction database was employed to predict down-stream of target.Quantitative reverse transcription polymerase chain reaction was employed for biological experiment in A549,H1299 and PC9 cell lines.Results:The active and resting mast cells were significantly associated with prognosis of LUAD(P<0.05).Of the targets,CCNA2 as an important target of FZKA(hazard ratio=1.41,95%confidential interval:1.01-2.01,P<0.05)was a prognostic target and significantly associated with mast cells.CCNA2 was positively correlated with mast cell activation and negatively correlated with mast cell resting state.BCL1 L2,ACTL6 A and ITGAV were down-stream of CCNA2,which were validated by q RT-PCR in A549 cell.Conclusion:FZKA could directly bind to CCNA2 and inhibit tumor growth by regulating CCNA2 downstream genes and TME of NSCLC closely related to CCNA2.展开更多
基金This research was funded by Science and Technology Program of Guangzhou(Nos.201803010051).
文摘Background:To predict the effective targets of Kang’ai injection and analyze the pharmacological mechanism for the treatment of breast cancer based on the method of network pharmacology.Methods:The Traditional Chinese Medicine Systems Pharmacology database was used to predict the effective components of the Chinese patent medicine Kang’ai injection,and GeneCards database,Online Mendelian Inheritance in Man database and the Therapeutic Target Database were used to predict the therapeutic targets of breast cancer.Cytoscape 3.7.2 was used to construct active ingredient-disease-target network.String database and Cytoscape 3.7.2 software were used to draw the protein-protein interaction network and obtain the core target.Bioconductor and R language were used to analyze the effective action target for gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis.Results:There were 42 effective active ingredients in the Chinese patent medicine Kang’ai injection,which acted on 105 targets,and it had 32 components that acted on 96 targets associated with breast cancer.The target regulates various biological processes such as inflammation,angiogenesis,apoptosis and cell proliferation,and regulates pathways such as PI3K-Akt signaling pathway,MAPK signaling pathway,AGE-RAGE signaling pathway in diabetic complications and thyroid hormone signaling pathway through gene ontology and Kyoto Encyclopedia of Genes and Genomes analysis.Conclusion:The treatment of breast cancer with the Chinese patent medicine Kang’ai injection is a complex mechanism process with multiple targets,multiple pathways,and multiple choices,which provides a theoretical basis for the further extraction of effective components in the treatment of breast cancer.
基金Supported by the Special Funds of Science and Technology Development of the Chinese Central Government to Guide Local in 2020(No.21JR1RA066,20JR10FA667)Hospital Fund of the First Hospital of Lanzhou University(No.ldyyyn2007-03)。
文摘Objective:To study the mechanism of Chinese herbal medicine Fuzheng Kang’ai Formula(FZKA)on tumor microenvironment(TME).Methods:CIBERSORTx was used for analysis of TME.Traditional Chinese Medicine Systems Pharmacology and Analysis Platform was applied to identify compounds-targets network and the Cancer Genome Atlas(TCGA)was employed to identify the differential expression genes(DEGs)between tumor and paracancerous tissues in lung adenocarcinoma(LUAD)from TCGA-LUAD.Additionally,DEGs with prognosis in LUAD was calculated by univariable and multivariate Cox regression.The core targets of FZKA were analyzed in lung adenocarcinoma TME.Protein-protein interaction database was employed to predict down-stream of target.Quantitative reverse transcription polymerase chain reaction was employed for biological experiment in A549,H1299 and PC9 cell lines.Results:The active and resting mast cells were significantly associated with prognosis of LUAD(P<0.05).Of the targets,CCNA2 as an important target of FZKA(hazard ratio=1.41,95%confidential interval:1.01-2.01,P<0.05)was a prognostic target and significantly associated with mast cells.CCNA2 was positively correlated with mast cell activation and negatively correlated with mast cell resting state.BCL1 L2,ACTL6 A and ITGAV were down-stream of CCNA2,which were validated by q RT-PCR in A549 cell.Conclusion:FZKA could directly bind to CCNA2 and inhibit tumor growth by regulating CCNA2 downstream genes and TME of NSCLC closely related to CCNA2.
