Abstract
Si-Wu-Tang (SWT), a traditional Chinese herbal formula, has shown an effect on antibreast cancer. However, the mechanisms and bioactive components of SWT are still unclear. Fortunately, cell type-specific molecular network has provided an effective method. This study integrated the data of formula components, all types of biomolecules in the human body, and nonexpressed protein in breast cancer cells and constructed the breast cancer cell network and the biological network that SWT acted on the breast cancer-related targets by Entity Grammar System (EGS). Biological network showed 59 bioactive components acting on 15 breast cancer-related targets. The antibreast cancer mechanisms were summarized by enrichment analysis: regulation of cell death, response to hormone stimulation, response to organic substance, regulation of phosphorylation of amino acids, regulation of cell proliferation, regulation of signal transmission, and affection of gland development. In addition, we discovered that verbascoside played the role of antibreast cancer by inhibiting cell proliferation, but there was not a report on this effect. The results of CCK8 and western blot were consistent with the antibreast cancer effect of verbascoside based on biological network. Biological network modeling by EGS and network analysis provide an effective way for uncovering the mechanism and identifying the bioactive components of SWT.
Highlights
Traditional Chinese medicine (TCM) formula, a herb combination, has shown a better effect on treating complex diseases [1, 2], such as diabetes, hypertension, and cancer
The antibreast cancer mechanism and bioactive components of SWT have not yet been systematically analyzed. is study integrated the data of TCM formula components, targets of Evidence-Based Complementary and Alternative Medicine components, metabolism data, gene-transcription factors, biological reactions, and signaling pathways and constructed the breast cancer cell network and the biological network that SWT acted on the breast cancer-related targets by Entity Grammar System (EGS). e biological network could clearly show the interaction between bioactive components of SWT and biomolecules of breast cancer cells. rough network and enrichment analysis, we could identify the bioactive components and summarize the antibreast cancer mechanism of SWT. rough single pathway analysis, we found a novel antibreast cancer ingredient-verbascoside
Conclusion e biological network constructed by EGS could exhibit the bioactive components of SWT and its antibreast cancer mechanism. 59 bioactive components of SWT act on 15 breast cancer-related targets
Summary
Traditional Chinese medicine (TCM) formula, a herb combination, has shown a better effect on treating complex diseases [1, 2], such as diabetes, hypertension, and cancer. E biological network could clearly show the interaction between bioactive components of SWT and biomolecules of breast cancer cells. E Construction of Breast Cancer Cell Network and the Biological Network at SWT Acted on the Breast CancerRelated Targets by EGS. We used EGS to construct the breast cancer cell network and the biological network that SWT acted on the breast cancer-related targets.
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