Identifying and Verifying AR, ERBB2, and VEGFA Are the Targets of Qigesan in the Treatment of Esophageal Adenocarcinoma In Silico and In Vitro

Author:

Zhang Dong1ORCID,Guo Lang2ORCID,Wu Xiaoting3ORCID,Luo Meng1ORCID,Liang Xinyi1ORCID,Jiang Cheng4ORCID,Wang Tao2ORCID,Gao Yong1ORCID,Zou Qiuping5ORCID

Affiliation:

1. Science and Technology Innovation Center of Guangzhou University of Traditional Chinese Medicine, Guangzhou 510000, China

2. The Second Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Guangzhou 510000, China

3. Department of Operating Theatre, Binzhou People’s Hospital, Binzhou 256600, China

4. The First Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Guangzhou 510000, China

5. Emergency Department, Dongguan People’s Hospital, Dongguan 523000, China

Abstract

The Chinese medicine Qigesan can be used to treat esophageal adenocarcinoma in the Chinese mainland widely, but its mechanism is unclear. In order to investigate the mechanism of Qigesan in the treatment of esophageal adenocarcinoma, the concept of network pharmacology was used in this study. The database named TCMSP was used to identify the active therapeutic components as well as targets of Qigesan. The TTD, OMIM, CTD, DrugBank, and GeneCards database were used to identify genes related to esophageal adenocarcinoma. In STRING database, the potential targets were imported to obtain a PPI network, and then Cytoscape software has been used to analyse the results. Subsequently, important components and targets were simulated by molecular docking. Finally, experiments on the cell have been done to verify well docking targets. A total of 124 effective compounds and 646 corresponding targets were filtered. 1478 genes were found to be related to esophageal adenocarcinoma. 68 genes were identified as potential targets for esophageal adenocarcinoma. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of the 68 potential targets indicated that the genes were mainly involved in cell transcription, translation, and apoptosis and mostly expressed in cancer-related pathways. The molecular docking analysis of the hub targets with their corresponding compounds indicated that the well docking targets were AR, ERBB2, and VEGFA. The cell experiments showed that Qigesan can reduce the expression of AR, ERBB2, and VEGFA at transcription and translation level. This network pharmacology study described that the possible targets of Qigesan in treatment of esophageal adenocarcinoma were AR, ERBB2, and VEGFA.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

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