扶正抗癌方治疗非小细胞肺癌的网络药理学作用机制探讨  

Network Pharmacology-based Prediction of the Potential Mechanisms of Fuzheng Kang’ai Decoction in Non-small Cell Lung Cancer Treatment

作　　者：柴小姝[1] 李璐 吴万垠[3] 吴钉红[4] CHAI Xiaoshu;LI Lu;WU Wanyin;WU Dinghong(Department of Oncology,Higher Education Mega Center Hospital of Guangdong Provincial Hospital of Traditional Chinese Medicine,Guangzhou 510006 Guangdong,China;Department of Medical Examination,Higher Education Mega Center Hospital of Guangdong Provincial Hospital of Traditional Chinese Medicine,Guangzhou 510006 Guangdong,China;Department of Oncology,Guangdong Provincial Hospital of Traditional Chinese Medicine,Guangzhou 510120 Guangdong,China;Department of Academy of Traditional Chinese Medicine,Higher Education Mega Center Hospital of Guangdong Provincial Hospital of Traditional Chinese Medicine,Guangzhou 510006 Guangdong,China)

机构地区：[1]广东省中医院大学城分院肿瘤科,广东广州510006 [2]广东省中医院大学城分院体检科,广东广州510006 [3]广东省中医院肿瘤科,广东广州510120 [4]广东省中医院广东省中医药科学院,广东广州510006

出　　处：《中药新药与临床药理》2021年第3期383-391,共9页Traditional Chinese Drug Research and Clinical Pharmacology

基　　金：国家自然科学基金面上项目(81974534)。

摘　　要：目的基于网络药理学方法探讨中药复方扶正抗癌方治疗非小细胞肺癌(NSCLC)的作用机制。方法利用BAMAN数据库收集扶正抗癌方各味中药中的化学成分,再从BATMAN数据库检索各化学成分的靶标,收集打分(Score)大于20的化学成分及其预测的靶标,导入CytoScape Version 3.7.1软件,绘制成分-靶标网络图,得到该方的效应靶标。以"非小细胞肺癌"为关键词,从GeneCards数据库查找疾病靶标,绘制韦恩图。靶标导入DAVID数据库,进行GO富集分析和KEGG通路分析,设定阈值P<0.05。对KEGG通路中排名前20位的通路进行分析,并将结果导入R(i3863.5.2)和R Studio软件,绘制KEGG信号通路的气泡图。将作用靶标导入String数据库进行蛋白-蛋白相互作用分析,获取蛋白相互作用信息后,导入CytoScape 3.7.1软件构建蛋白-蛋白相互作用网络。提取成分-靶标网络图,计算其网络拓扑性质,前20位的化学成分即为该方治疗NSCLC的潜在有效成分。结果共检索出135个小分子成分,4898个基因靶标,共同靶基因663个,收集了Score≥20的关键基因164个,其中度值排名较靠前的蛋白TP53、TNF、TLR4、STAT2、SRC、PTGS2、NFKB1、MYC、JUN、IL1B、MTOR、FOS、CTNNB1、AKT1被认为是蛋白相互作用网络中的核心靶点;分析GO生物学过程、分子功能及细胞组分相关条目前10条及KEGG通路前20条,主要涉及癌症通路、PI3K-Akt信号通路及p53信号通路等。结论扶正抗癌方可能通过多成分、多靶点、多途径参与调控NSCLC细胞增殖与凋亡等多种生理过程,发挥对NSCLC的干预作用。Objective To investigate the potential targets and mechanisms of Fuzheng Kang’ai decoction in treating non-small cell lung cancer(NSCLC)based on network pharmacology techniques.MethodsThe chemical components of all herbs from Fuzheng Kang’ai decoction and the potential targets were collected from Batman database.Molecule-target network was constructed and analyzed by Cytoscape(version 3.7.1).The disease targets were searched from the Gene cards database,and the Venn diagram was drawn.The targets of Fuzheng Kang’ai decoction for NSCLC were imported into the David database for GO and KEGG pathway analysis,and the threshold was set(P<0.05).The top 20 KEGG pathways were analyzed,and the results were imported into R(i3863.5.2)and R studio to draw the bubble chart of KEGG signal pathways.Then the targets were imported into String database for protein-protein interaction analysis.The protein-protein interaction network was then constructed and the network topological properties were analyzed by Cytoscape 3.7.1.ResultsA total of 135 compounds and 4898 targets were retrieved.Then 663 targets closely related to NSCLC and 164 key genes with scores not less than 20 were screened out.Finally,among them,TP53,TNF,TLR4,STAT2,SRC,PTGS2,NFKB1,MYC,JUN,IL1 B,mTOR,FOS,CTNNB1 and AKT1 were considered as the key targets in protein-protein interaction network.Ten termsrelated to biological processes,molecular function and cell components,as well as 20 KEGG pathways wereanalyzed,including cancer pathway,PI3 K/Akt pathway and p53 pathway,et al.Conclusion Fuzheng Kang’ai decoction may involve in various physiological processes such as tumor cell proliferation and apoptosis to exert anintervention effects on NSCLC by multiple components,multiple targets and multiple pathways.

关 键 词：扶正抗癌方 网络药理学 非小细胞肺癌 作用机制 细胞增值 细胞凋亡 

分 类 号：R285.5[医药卫生—中药学]