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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
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