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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...

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Autores principales: Xie, Rui-Fang, Liu, Sheng, Yang, Ming, Xu, Jia-Qi, Li, Zhi-Cheng, Zhou, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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.
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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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