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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

Authors :
Yu Mao
Dan Liu
Xue Yang
Xiong-Zhi Wu
Rui Cao
Jian Hao
Yangyang Niu
Zi-Qi Jin
Source :
Oncotarget
Publication Year :
2017
Publisher :
Impact Journals, LLC, 2017.

Abstract

// Yu Mao 1, * , Jian Hao 1, * , Zi-Qi Jin 2 , Yang-Yang Niu 3 , Xue Yang 1 , Dan Liu 1 , Rui Cao 4 , Xiong-Zhi Wu 4 1 Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China 2 Tianjin Medical University, Tianjin, 300070, China 3 Tianjin Children’s Hospital, Tianjin, 300134, China 4 Zhong-Shan-Men Inpatient Department, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China * These authors have contributed equally to this study and share first authorship Correspondence to: Xiong-Zhi Wu, email: wuxiongzhi@163.com Keywords: metastatic breast cancer, Chinese herbal medicine, network pharmacology, estrogen receptor, HSP90 Received: October 25, 2016 Accepted: January 22, 2017 Published: February 15, 2017 ABSTRACT 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

Details

ISSN :
19492553
Volume :
8
Database :
OpenAIRE
Journal :
Oncotarget
Accession number :
edsair.doi.dedup.....97a9a96f63534db769fc809eac6b0d51