摘要
目的:基于网络药理学研究芪甲扶正方治疗非小细胞肺癌的潜在分子机制。方法:利用TCMSP、Swiss Target Prediction等数据库筛选芪甲扶正方中药物的成分,并进行靶点预测,通过TCGA、TTD、CTD等数据库筛选非小细胞肺癌相关靶点,构建疾病模型。获得共有靶点后,构建"药物-靶点"映射网络,并通过网络拓扑分析方法筛选关键靶点,进行GO富集和KEGG通路分析。结果:本研究共预测得到106个芪甲扶正方治疗非小细胞肺癌的潜在靶点,利用网络拓扑分析筛选得到20个关键靶点。根据关键靶点GO富集分析和KEGG通路注释结果,芪甲扶正方可能具有调节一氧化氮合酶活性、细胞外基质降解、细胞周期蛋白结合、细胞周期蛋白依赖性蛋白激酶活性等分子功能,其作用通路与膀胱癌、雌激素信号转导、VEGF信号、非小细胞肺癌、IL-17信号转导等通路相关。结论:芪甲扶正方通过多靶点作用于非小细胞肺癌,其主要机制与调节一氧化氮合酶活性、细胞周期、细胞外基质降解等生物学过程,并可影响多条癌症相关通路。
Objective: To study the potential molecular mechanism of Qijia Fuzheng prescription in the treatment of non-small cell lung cancer based on network pharmacology. Methods: TCMSP,Swiss Target Prediction and other databases were used to screen the components of Qijia Fuzheng prescription and predict the target. Non-small cell lung cancer related targets were screened and disease models were built through TCGA,TTD,CTD and other databases. After the common target was obtained,the " medicine-target" mapping network was constructed,and the key target was selected through the network topology analysis method to carry out GO enrichment and KEGG pathway analysis. Results: In this study,106 potential targets of Qijia Fuzheng prescription in the treatment of non-small cell lung cancer were predicted,and 20 key targets were screened by network topology analysis. According to the results of key target GO enrichment and KEGG pathway annotation,Qijia Fuzheng prescription may have the molecular functions of regulating nitric oxide synthetase activity,extracellular matrix degradation,cyclin binding,cyclin dependent protein kinase activity,etc. Its action pathway is related to bladder cancer,estrogen signal transduction,VEGF signal,non-small cell lung cancer,IL-17 signal transduction and other pathways. Conclusion: Qijia Fuzheng prescription has potential to act on non-small cell lung cancer through multiple targets. Its main mechanism is related to the regulation of biological processes such as nitric oxide synthetase activity,cell cycle,extracellular matrix degradation,and can affect multiple cancer related pathways.
作者
杨涛
祁烁
张雅月
啜文静
骆长永
刘寰宇
崔人匀
安炯俊
董石
李忠
YANG Tao;QI Shuo;ZHANG Yayue;CHUAI Wenjing;LUO Changyong;LIU Huanyu;CUI Renyun;AN Jiongjun;DONG Shi;LI Zhong(The First Clinical Medical College of Beijing University of Chinese Medicine,Beijing China 100700;Dongzhimen Hospital of Beijing University of Chinese Medicine,Beijing China 100700;Beijing University of Chinese Medicine,Beijing China 100029)
出处
《中医学报》
CAS
2019年第11期2417-2424,共8页
Acta Chinese Medicine
基金
北京市科技计划十病十药研发项目(Z161100001816014)
关键词
芪甲扶正方
非小细胞肺癌
网络药理学
生物信息学
分子机制
Qijia Fuzheng prescription
non-small cell lung cancer
network pharmacology
bioinformatics
molecular mechanism