- Article
- OPEN ACCESS
-
Identifying medication regularity of traditional Chinese medicine and potential pharmacological mechanism of Jiedu Sangen decoction in colorectal cancer treatment by data mining and network pharmacology
-
Xin-Ru Jia1,
-
Xiang-Chang Ying1,
-
Yu-Wei Xia1,
-
Li-Hui Qian1,
-
Lei-Tao Sun2,3,4,* and
-
Pei-Pei Wang5,*
Author information
The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou 310053, China
Department of Medical Oncology, The First AffiliatedHospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou 310006, China
Institute of Zhejiang ChineseMedical Culture, Zhejiang Chinese Medical University, Hangzhou 310053, China
Academy of Chinese Medical Science, Zhejiang Chinese Medical University, Hangzhou 310053, China
Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China
Correspondence to: Lei-Tao Sun, Department of Medical Oncology, The First AffiliatedHospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou 310006, China. E-mail:
sunnylt@zcmu.edu.cn; Pei-Pei Wang, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China. E-mail:
peipei.wang@zcmu.edu.cn
Abstract
Objective
Colorectal cancer (CRC) is one of the most common malignancies in the world, and traditional Chinese medicine (TCM) is widely used in its treatment in China. However, the medication rules of TCM for CRC treatment remain unclear. Therefore, data mining combined with network pharmacology was utilized to establish treatment principles and rules.
Methods
The CRC cases treated at Zhejiang Provincial Hospital of Chinese Medicine from January 1, 2016 to October 31, 2021 were analyzed using data mining methods. UPLC-Q/TOF-MS analysis was performed to identify the chemical composition of Jiedu Sangen decoction (JSD). Network pharmacology was used to reveal the therapeutic mechanism of JSD.
Results
A total of 312 cases 2,998 prescriptions that met the inclusion criteria used 343 kinds of traditional Chinese medicines. The nature of the herbs used in treatment was mainly warm and mild. The taste was mainly sweet, bitter, and pungent. The meridian tropisms were mainly the spleen meridian, followed by lung and stomach meridians. Tonifying and replenishing herbs were the most frequently used in treatment. High-frequency herbs were classified into 11 categories by cluster analysis, and 42 association rules were obtained by association rule analysis. Combined with complex network analysis, 3 core prescriptions for clinical CRC treatment were obtained. Jiedu Sangen decoction contains 64 chemical ingredients, out of which 31 active ingredients were identified, including polydatin, caffeic acid, and glutinic acid, along with 130 potential targets such as AKT1, SRC, and MAPK1. Jiedu Sangen decoction may play a role in regulating inflammation, immunity, metabolism, and hormones in the development of CRC via pathways such as the relaxin signaling pathway, IL-17 signaling pathway, prolactin signaling pathway, and T cell receptor signaling pathway.
Conclusions
This study summarizes the treatment and medication principles for clinical CRC treatment, promoting the inheritance and development of the traditional Chinese medical experience.
Keywords
data mining,
network pharmacology,
traditional Chinese medicine,
colorectal cancer,
Jiedu Sangen decoction
|
Copyright © 2025 Authors.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 License (CC BY-NC 4.0), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
|
About this Article
Cite this article
|
Jia XR, Ying XC, Xia YW, Qian LH, Sun LT, Wang PP. Identifying medication regularity of traditional Chinese medicine and potential pharmacological mechanism of Jiedu Sangen decoction in colorectal cancer treatment by data mining and network pharmacology. Gastroenterol & Hepatol Res. 2023;5(3):12. doi: 10.53388/ghr2023-03-076.
|
| Copied to clipboard
|
Copy
Export to RIS
Export to EndNote
|
|
Citation copied!
|
Article History
| Received |
Revised |
Accepted |
Published |
|
|
|
|
September 12, 2023
|
DOI
http://dx.doi.org/10.53388/ghr2023-03-076
-
Gastroenterology & Hepatology Research
-
-
eISSN 2703-173X