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In Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan

OBJECTIVE : To explore the core herbs of two illustrious senior Traditional Chinese Medicine (TCM) Physicians for the treatment of liver cancer, and to further clarify the gene targets and pathway mechanisms of liver cancer that the core prescription (CP) may regulate.

METHODS : We used the patient information of two illustrious senior TCM physicians from the Affiliated Hospital of Shandong University of Traditional Chinese Medicine and the Affiliated Hospital of Capital Medical University as the database. The CP was analyzed using the community network algorithm. The pathway mechanism was analyzed using network pharmacology method. And the prognostic survival genes were identified using Single factor cox regression analysis. Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine (TCMIP), Herb, Online Mendelian Inheritance in Man (OMIM), Genecards, Kyoto Encyclopedia of Genes and Genomes (KEGG), Genomic Data Commons (GDC), The Cancer Genome Atlas (TCGA), Gephi and R were used to mine CP, building a pathway network diagram. All the analyses were visualized.

RESULTS : We found that the CP consistes of Huangqi (), Danshen (), Shuihonghuazi (), Baihuasheshecao (), Banzhilian (), and Ezhu (), which were attributed to the two physicians respectively. The CP played an anti-cancer role through such pathways as signal transduction, energy metabolism, immune system and other pathways, covering a total of 112 pathways and 176 herb-disease-related genes. Fourteen genes have a significant impact on the prognosis and survival of liver cancer.

CONCLUSION : Based on the liver cancer cases of two illustrious senior TCM physicians, we obtained the CP through data mining. The CP may mainly exert anti-cancer effects by inhibiting inflammatory response, angiogenesis, and enhancing the body's immune response. We screened out 14 genes in the CP that may be related to the prognosis of liver cancer, and these genes may play an important regulatory role in the prognosis of liver cancer.

Bochuan Wang, Yong Zhang, Qiuyun Zhang, Zhiqiang Zhang, Changyong Luo, Zhendong Wang, Chen Bai, Yuhan Wang, Xueyi G E, Ying Qian, He Y U, Xiaohong G U

2023-Feb

bioinformatics analysis, liver neoplasms, machine learning, medicine, Chinese traditional, network analysis, prognosis