基于网络药理学预测北沙参治疗肺癌的作用机制

Predict Mechanism of Beishashen in Treatment of Lung Cancer Based on Network Pharmacology

目的:预测北沙参治疗原发性支气管肺癌的潜在靶点及信号通路。方法:检索北沙参的化学成分及药物作用靶点及原发支气管肺癌的疾病靶基因。构建蛋白互作网络(PPI)。进而行GO功能富集分析及KEGG通路富集分析,构建可视化的'化合物-靶点-通路'网络,并对网络进行拓扑分析。结果:获得8个化合物,173个化合物靶点,1885个肺癌相关靶基因。PPI蛋白互作网络共98个节点,11个关键节点。GO功能富集分析得到100个GO条目,KEGG通路富集分析得到68条信号通路。PPI蛋白互作网路中的11个关键靶点有5个富集在前10位信号通路中,依次为:JUN、EGF、TNF、FOS、MYC。结论:初步预测北沙参治疗原发性支气管肺癌之间的作用途径可能通过靶向JUN、EGF、TNF、FOS、MYC五个关键蛋白起作用。

Objective:To predict the potential tagets and signaling pathway of Beishashen(Glehnia littoralis)actonlung cancer.Method:The chemical ingredient-tagets of Beishashen(Glehnia littoralis)and the lung cancer related gene tagets were searched for constructing a protein-protein interaction(PPI)network.The PPI gene tagets were used to be enrichment analyzed by GO and KEGG.The'ingredient-tagets-pathway'network was constructed by software and analyzed using topological parameters.Result:The results revealed 8 ingredients,173 ingredient-tagets,1885 lung cancer gene tagets.PPI network included 98 nodes and 11 hub nodes.A hundre GO terms and 68 signal pathway were obtained using GO and KEGG enrichment analysis.Five hub nodes from PPI network enriched in the top 10 signaling pathway,respectivelyJUN,EGF,TNF,FOS and MYC.Conclusion:Beishashen(Glehnia littoralis)may act on lung cancer through target 5 proteins,JUN,EGF,TNF,FOS and MYC.