Tian Yuan, Tang Liang
Public Course Teaching Department, Cangzhou Medical College Cangzhou 061000, Hebei, China.
Department of Stomatology, Cangzhou Medical College Cangzhou 061000, Hebei, China.
Int J Clin Exp Pathol. 2022 Feb 15;15(2):46-55. eCollection 2022.
We explored codonopsis mechanisms for the treatment of esophageal cancer using a network pharmacology approach.
Using the Laboratory of Systems Pharmacology website, codonopsis compounds and targets were gathered. After identifying esophageal cancer target intersections from the GeneCards website, possible codonopsis targets for esophageal cancer were screened. A protein-protein interaction (PPI) network diagram of protein targets was then constructed using the STRING database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway enrichment analyses were performed in R 3.6.0 software. A network diagram of "disease-drug-component-target-pathways" was also constructed using Cytoscape 3.7.1.
We screened 21 codonopsis compounds as possible esophageal cancer treatments and 31 drug-disease intersecting targets. GO enrichment analysis identified 778 biological process (BP) components, 15 cellular component (CC) components, and 50 molecular function (MF) components, and KEGG analyses identified 90 signaling pathways. Our analyses showed that p53 and PI3K-Akt signaling pathways (among others) were significant pathways in these processes.
Codonopsis may be used to treat esophageal cancer by multiple components, targets, and pathways.
我们采用网络药理学方法探究党参治疗食管癌的作用机制。
利用系统药理学实验室网站收集党参化合物及靶点。从GeneCards网站确定食管癌靶点交集后，筛选出可能用于食管癌治疗的党参靶点。然后使用STRING数据库构建蛋白质靶点的蛋白质-蛋白质相互作用（PPI）网络图。在R 3.6.0软件中进行基因本体论（GO）和京都基因与基因组百科全书（KEGG）通路富集分析。还使用Cytoscape 3.7.1构建了“疾病-药物-成分-靶点-通路”网络图。
我们筛选出21种党参化合物作为可能的食管癌治疗药物以及31个药物-疾病交集靶点。GO富集分析确定了778个生物过程（BP）成分、15个细胞成分（CC）成分和50个分子功能（MF）成分，KEGG分析确定了90条信号通路。我们的分析表明，p53和PI3K-Akt信号通路（等等）是这些过程中的重要通路。
党参可能通过多种成分、靶点和通路来治疗食管癌。
