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Effects and possible mechanism of Ruyiping formula application to breast cancer based on network prediction
Ruyiping (RYP), a Chinese herbal formula, can remove toxin and clear nodular, showing ability of preventing postoperative recurrence of breast cancer. In this study, network was performed to predict possible targets, genes and pathways associated with RYP and breast cancer. Thin Layer Chromatography...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437177/ https://www.ncbi.nlm.nih.gov/pubmed/30918282 http://dx.doi.org/10.1038/s41598-019-41243-9 |
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author | Xie, Rui-Fang Liu, Sheng Yang, Ming Xu, Jia-Qi Li, Zhi-Cheng Zhou, Xin |
author_facet | Xie, Rui-Fang Liu, Sheng Yang, Ming Xu, Jia-Qi Li, Zhi-Cheng Zhou, Xin |
author_sort | Xie, Rui-Fang |
collection | PubMed |
description | Ruyiping (RYP), a Chinese herbal formula, can remove toxin and clear nodular, showing ability of preventing postoperative recurrence of breast cancer. In this study, network was performed to predict possible targets, genes and pathways associated with RYP and breast cancer. Thin Layer Chromatography (TLC) and High Performance Liquid Chromatography (HPLC) were used to quantitatively study RYP formula and its single herbs. MTT methods, Luciferase reporter systems, zebrafish model and western blotting were respectively adopted to verify network prediction. Results showed that the quality of RYP could be controlled and icariin could be selected as mark ingredient; RYP expressed anti-breast tumor effects, which could be associated with inhibiting expression of Transforming Growth Factor β (TGFβ), promoting cells apoptosis and anti-angiogenesis. Parts of these results were consistent with network predictions in some degree, but not all. Network can help us narrow areas, focus on crucial factors, save money as well as time, but the results predicted by network should be confirmed by further experiments. |
format | Online Article Text |
id | pubmed-6437177 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64371772019-04-03 Effects and possible mechanism of Ruyiping formula application to breast cancer based on network prediction Xie, Rui-Fang Liu, Sheng Yang, Ming Xu, Jia-Qi Li, Zhi-Cheng Zhou, Xin Sci Rep Article Ruyiping (RYP), a Chinese herbal formula, can remove toxin and clear nodular, showing ability of preventing postoperative recurrence of breast cancer. In this study, network was performed to predict possible targets, genes and pathways associated with RYP and breast cancer. Thin Layer Chromatography (TLC) and High Performance Liquid Chromatography (HPLC) were used to quantitatively study RYP formula and its single herbs. MTT methods, Luciferase reporter systems, zebrafish model and western blotting were respectively adopted to verify network prediction. Results showed that the quality of RYP could be controlled and icariin could be selected as mark ingredient; RYP expressed anti-breast tumor effects, which could be associated with inhibiting expression of Transforming Growth Factor β (TGFβ), promoting cells apoptosis and anti-angiogenesis. Parts of these results were consistent with network predictions in some degree, but not all. Network can help us narrow areas, focus on crucial factors, save money as well as time, but the results predicted by network should be confirmed by further experiments. Nature Publishing Group UK 2019-03-27 /pmc/articles/PMC6437177/ /pubmed/30918282 http://dx.doi.org/10.1038/s41598-019-41243-9 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Xie, Rui-Fang Liu, Sheng Yang, Ming Xu, Jia-Qi Li, Zhi-Cheng Zhou, Xin Effects and possible mechanism of Ruyiping formula application to breast cancer based on network prediction |
title | Effects and possible mechanism of Ruyiping formula application to breast cancer based on network prediction |
title_full | Effects and possible mechanism of Ruyiping formula application to breast cancer based on network prediction |
title_fullStr | Effects and possible mechanism of Ruyiping formula application to breast cancer based on network prediction |
title_full_unstemmed | Effects and possible mechanism of Ruyiping formula application to breast cancer based on network prediction |
title_short | Effects and possible mechanism of Ruyiping formula application to breast cancer based on network prediction |
title_sort | effects and possible mechanism of ruyiping formula application to breast cancer based on network prediction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437177/ https://www.ncbi.nlm.nih.gov/pubmed/30918282 http://dx.doi.org/10.1038/s41598-019-41243-9 |
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