| Literature DB >> 27583849 |
Li Gao1, Jian Hao, Yang-Yang Niu, Miao Tian, Xue Yang, Cui-Hong Zhu, Xiu-Li Ding, Xiao-Hui Liu, Hao-Ran Zhang, Chang Liu, Xue-Mei Qin, Xiong-Zhi Wu.
Abstract
Increasing evidence has shown that Chinese Herbal Medicine (CHM) has efficient therapeutic effects for advanced gastric adenocarcinoma, while the therapeutic mechanisms underlying this treatment remain unclear.In this study, the Kaplan-Meier method and Cox regression analysis were used to evaluate the survival benefit of CHM treatment, and correlation analysis was applied to identify the most effective components in the formulas. A network pharmacological approach was developed to decipher the potential therapeutic mechanisms of CHM.CHM treatment was an independent protective factor. The hazard ratio was 0.364 (95% CI 0.245-0.540; P < 0.001). The median survival time was 18 months for patients who received CHM treatment, while for patients without CHM treatment was decreased to 9 months (P < 0.001). Thirteen out of the total 204 herbs were significantly correlated with favorable survival outcomes (P < 0.05), likely representing the most effective components in these formulas. Bioinformatics analyses suggested that the simultaneous manipulation of multiple targets in proliferation pathways (such as epidermal growth factor receptor, fibroblast growth factor receptor 2, human epidermal growth factor receptor 2, proliferating cell nuclear antigen, and insulin like growth factor 2) and the process of cancer metastasis (collagen families, fibronectin 1 and matrix metalloproteinases families) might largely account for the mechanisms of the 13 herbs against gastric adenocarcinoma.A network pharmacology method was introduced to decipher the underlying mechanisms of CHM, which provides a good foundation for herbal research based on clinical data.Entities:
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Year: 2016 PMID: 27583849 PMCID: PMC5008533 DOI: 10.1097/MD.0000000000004389
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
Figure 1Process overview.
Univariate and multivariate analyses of variables assessing for impact on survival.
Figure 2Kaplan–Meier curve between CHM and non-CHM groups. Patients with CHM treatment had a longer median survival time than those without CHM treatment (18 vs 9 months, P < 0.001). CHM = Chinese Herbal Medicine.
Figure 3Categorization of all of the genes obtained from the ClueGO analysis according to biological process and molecular function.
Figure 4The ingredient-target networks. The diamond nodes represent ingredients; the circular nodes represent targets; and the colors of the nodes are illustrated from red to yellow in descending order of degree values.
Correlation coefficients of herbs to survival, and the function scores, putative major ingredients of 13 herbs.
Figure 5The herb-target networks of the 13 herbs. The diamond nodes represent herbs, and the circular nodes represent targets. The targets distributed in a circle indicate that these components function in the same number of herbs, which illustrated as “n.”
Figure 6Associated pathways of the 13 herbs against gastric adenocarcinoma. The colored nodes are potential protein targets. Different colors represent different potentials. The light blue nodes are relevant targets in the pathway.