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Network pharmacology-based and clinically relevant prediction of the active ingredients and potential targets of Chinese herbs in metastatic breast cancer patients
Chinese Herbal Medicine (CHM) plays a significant role in breast cancer treatment. We conduct the study to ascertain the relative molecular targets of effective Chinese herbs in treating stage IV breast cancer. Survival benefit of CHM was verified by Kaplan-Meier method and Cox regression analysis....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432314/ https://www.ncbi.nlm.nih.gov/pubmed/28212580 http://dx.doi.org/10.18632/oncotarget.15351 |
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author | Mao, Yu Hao, Jian Jin, Zi-Qi Niu, Yang-Yang Yang, Xue Liu, Dan Cao, Rui Wu, Xiong-Zhi |
author_facet | Mao, Yu Hao, Jian Jin, Zi-Qi Niu, Yang-Yang Yang, Xue Liu, Dan Cao, Rui Wu, Xiong-Zhi |
author_sort | Mao, Yu |
collection | PubMed |
description | Chinese Herbal Medicine (CHM) plays a significant role in breast cancer treatment. We conduct the study to ascertain the relative molecular targets of effective Chinese herbs in treating stage IV breast cancer. Survival benefit of CHM was verified by Kaplan-Meier method and Cox regression analysis. A bivariate correlation analysis was used to find and establish the effect of herbs in complex CHM formulas. A network pharmacological approach was adopted to explore the potential mechanisms of CHM. Patients in the CHM group had a median survival time of 55 months, which was longer than the 23 months of patients in the non-CHM group. Cox regression analysis indicated that CHM was an independent protective factor. Correlation analysis showed that 10 herbs were strongly correlated with favorable survival outcomes (P<0.01). Bioinformatics analyses suggested that the 10 herbs might achieve anti-breast cancer activity primarily through inhibiting HSP90, ERα and TOP-II related pathways. |
format | Online Article Text |
id | pubmed-5432314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-54323142017-05-17 Network pharmacology-based and clinically relevant prediction of the active ingredients and potential targets of Chinese herbs in metastatic breast cancer patients Mao, Yu Hao, Jian Jin, Zi-Qi Niu, Yang-Yang Yang, Xue Liu, Dan Cao, Rui Wu, Xiong-Zhi Oncotarget Research Paper Chinese Herbal Medicine (CHM) plays a significant role in breast cancer treatment. We conduct the study to ascertain the relative molecular targets of effective Chinese herbs in treating stage IV breast cancer. Survival benefit of CHM was verified by Kaplan-Meier method and Cox regression analysis. A bivariate correlation analysis was used to find and establish the effect of herbs in complex CHM formulas. A network pharmacological approach was adopted to explore the potential mechanisms of CHM. Patients in the CHM group had a median survival time of 55 months, which was longer than the 23 months of patients in the non-CHM group. Cox regression analysis indicated that CHM was an independent protective factor. Correlation analysis showed that 10 herbs were strongly correlated with favorable survival outcomes (P<0.01). Bioinformatics analyses suggested that the 10 herbs might achieve anti-breast cancer activity primarily through inhibiting HSP90, ERα and TOP-II related pathways. Impact Journals LLC 2017-02-15 /pmc/articles/PMC5432314/ /pubmed/28212580 http://dx.doi.org/10.18632/oncotarget.15351 Text en Copyright: © 2017 Mao et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Mao, Yu Hao, Jian Jin, Zi-Qi Niu, Yang-Yang Yang, Xue Liu, Dan Cao, Rui Wu, Xiong-Zhi Network pharmacology-based and clinically relevant prediction of the active ingredients and potential targets of Chinese herbs in metastatic breast cancer patients |
title | Network pharmacology-based and clinically relevant prediction of the active ingredients and potential targets of Chinese herbs in metastatic breast cancer patients |
title_full | Network pharmacology-based and clinically relevant prediction of the active ingredients and potential targets of Chinese herbs in metastatic breast cancer patients |
title_fullStr | Network pharmacology-based and clinically relevant prediction of the active ingredients and potential targets of Chinese herbs in metastatic breast cancer patients |
title_full_unstemmed | Network pharmacology-based and clinically relevant prediction of the active ingredients and potential targets of Chinese herbs in metastatic breast cancer patients |
title_short | Network pharmacology-based and clinically relevant prediction of the active ingredients and potential targets of Chinese herbs in metastatic breast cancer patients |
title_sort | network pharmacology-based and clinically relevant prediction of the active ingredients and potential targets of chinese herbs in metastatic breast cancer patients |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432314/ https://www.ncbi.nlm.nih.gov/pubmed/28212580 http://dx.doi.org/10.18632/oncotarget.15351 |
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