Cargando…
Molecular targets of Chinese herbs: a clinical study of hepatoma based on network pharmacology
Traditional Chinese medicine (TCM) has been used to treat tumors for years and has been demonstrated to be effective. However, the underlying molecular mechanisms of herbs remain unclear. This study aims to ascertain molecular targets of herbs prolonging survival time of patients with advanced hepat...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4855233/ https://www.ncbi.nlm.nih.gov/pubmed/27143508 http://dx.doi.org/10.1038/srep24944 |
_version_ | 1782430334478974976 |
---|---|
author | Gao, Li Wang, Xiao-dong Niu, Yang-yang Duan, Dan-dan Yang, Xue Hao, Jian Zhu, Cui-hong Chen, Dan Wang, Ke-xin Qin, Xue-mei Wu, Xiong-zhi |
author_facet | Gao, Li Wang, Xiao-dong Niu, Yang-yang Duan, Dan-dan Yang, Xue Hao, Jian Zhu, Cui-hong Chen, Dan Wang, Ke-xin Qin, Xue-mei Wu, Xiong-zhi |
author_sort | Gao, Li |
collection | PubMed |
description | Traditional Chinese medicine (TCM) has been used to treat tumors for years and has been demonstrated to be effective. However, the underlying molecular mechanisms of herbs remain unclear. This study aims to ascertain molecular targets of herbs prolonging survival time of patients with advanced hepatocellular carcinoma (HCC) based on network pharmacology, and to establish a research method for accurate treatment of TCM. The survival benefit of TCM treatment with Chinese herbal medicine (CHM) was proved by Kaplan–Meier method and Cox regression analysis among 288 patients. The correlation between herbs and survival time was performed by bivariate correlation analysis. Network pharmacology method was utilized to construct the active ingredient-target networks of herbs that were responsible for the beneficial effects against HCC. Cox regression analysis showed CHM was an independent favorable prognostic factor. The median survival time was 13 months and the 5-year overall survival rates were 2.61% in the TCM group, while there were 6 months, 0 in the non-TCM group. Correlation analysis demonstrated that 8 herbs closely associated with prognosis. Network pharmacology analysis revealed that the 8 herbs regulated multiple HCC relative genes, among which the genes affected proliferation (KRAS, AKT2, MAPK), metastasis (SRC, MMP), angiogenesis (PTGS2) and apoptosis (CASP3) etc. |
format | Online Article Text |
id | pubmed-4855233 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48552332016-05-18 Molecular targets of Chinese herbs: a clinical study of hepatoma based on network pharmacology Gao, Li Wang, Xiao-dong Niu, Yang-yang Duan, Dan-dan Yang, Xue Hao, Jian Zhu, Cui-hong Chen, Dan Wang, Ke-xin Qin, Xue-mei Wu, Xiong-zhi Sci Rep Article Traditional Chinese medicine (TCM) has been used to treat tumors for years and has been demonstrated to be effective. However, the underlying molecular mechanisms of herbs remain unclear. This study aims to ascertain molecular targets of herbs prolonging survival time of patients with advanced hepatocellular carcinoma (HCC) based on network pharmacology, and to establish a research method for accurate treatment of TCM. The survival benefit of TCM treatment with Chinese herbal medicine (CHM) was proved by Kaplan–Meier method and Cox regression analysis among 288 patients. The correlation between herbs and survival time was performed by bivariate correlation analysis. Network pharmacology method was utilized to construct the active ingredient-target networks of herbs that were responsible for the beneficial effects against HCC. Cox regression analysis showed CHM was an independent favorable prognostic factor. The median survival time was 13 months and the 5-year overall survival rates were 2.61% in the TCM group, while there were 6 months, 0 in the non-TCM group. Correlation analysis demonstrated that 8 herbs closely associated with prognosis. Network pharmacology analysis revealed that the 8 herbs regulated multiple HCC relative genes, among which the genes affected proliferation (KRAS, AKT2, MAPK), metastasis (SRC, MMP), angiogenesis (PTGS2) and apoptosis (CASP3) etc. Nature Publishing Group 2016-05-04 /pmc/articles/PMC4855233/ /pubmed/27143508 http://dx.doi.org/10.1038/srep24944 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Gao, Li Wang, Xiao-dong Niu, Yang-yang Duan, Dan-dan Yang, Xue Hao, Jian Zhu, Cui-hong Chen, Dan Wang, Ke-xin Qin, Xue-mei Wu, Xiong-zhi Molecular targets of Chinese herbs: a clinical study of hepatoma based on network pharmacology |
title | Molecular targets of Chinese herbs: a clinical study of hepatoma based on network pharmacology |
title_full | Molecular targets of Chinese herbs: a clinical study of hepatoma based on network pharmacology |
title_fullStr | Molecular targets of Chinese herbs: a clinical study of hepatoma based on network pharmacology |
title_full_unstemmed | Molecular targets of Chinese herbs: a clinical study of hepatoma based on network pharmacology |
title_short | Molecular targets of Chinese herbs: a clinical study of hepatoma based on network pharmacology |
title_sort | molecular targets of chinese herbs: a clinical study of hepatoma based on network pharmacology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4855233/ https://www.ncbi.nlm.nih.gov/pubmed/27143508 http://dx.doi.org/10.1038/srep24944 |
work_keys_str_mv | AT gaoli moleculartargetsofchineseherbsaclinicalstudyofhepatomabasedonnetworkpharmacology AT wangxiaodong moleculartargetsofchineseherbsaclinicalstudyofhepatomabasedonnetworkpharmacology AT niuyangyang moleculartargetsofchineseherbsaclinicalstudyofhepatomabasedonnetworkpharmacology AT duandandan moleculartargetsofchineseherbsaclinicalstudyofhepatomabasedonnetworkpharmacology AT yangxue moleculartargetsofchineseherbsaclinicalstudyofhepatomabasedonnetworkpharmacology AT haojian moleculartargetsofchineseherbsaclinicalstudyofhepatomabasedonnetworkpharmacology AT zhucuihong moleculartargetsofchineseherbsaclinicalstudyofhepatomabasedonnetworkpharmacology AT chendan moleculartargetsofchineseherbsaclinicalstudyofhepatomabasedonnetworkpharmacology AT wangkexin moleculartargetsofchineseherbsaclinicalstudyofhepatomabasedonnetworkpharmacology AT qinxuemei moleculartargetsofchineseherbsaclinicalstudyofhepatomabasedonnetworkpharmacology AT wuxiongzhi moleculartargetsofchineseherbsaclinicalstudyofhepatomabasedonnetworkpharmacology |