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.
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