目的 基于数据挖掘和网络药理学探讨国家专利数据库的中药复方治疗胃癌的用药规律及作用机制。方法 检索中国专利公布公告网自建库至2023年10月治疗胃癌中药复方专利，运用古今医案云平台和IBM SPSS Modeler将规范后的数据进行频次、中药属性、关联规则、聚类等分析。运用中药系统药理学数据库与分析平台（TCMSP）获取白花蛇舌草、半枝莲和黄芪的有效成分及作用靶点；用GeneCards、DrugBank、OMIM、PharmGkb、TTD数据库获得胃癌的疾病靶点；运用R语言筛选出共同作用靶点；采用STRING数据库构建靶点蛋白质-蛋白质相互作用（PPI）网络；运用Cytoscape软件构建药物成分-疾病靶点网络图及筛选共同靶点中的核心靶点；运用R语言进行京都基因与基因组百科全书（KEGG）通路富集分析。结果 共纳入专利287项，包含中药838味；来源于24个省、市及自治区；药性以温、平、寒为主；药味以甘、苦、辛为主；归经以脾、肝、肺为主；高频单味药有白花蛇舌草、黄芪、甘草、白术、半枝莲等；最常用药对是白花蛇舌草-黄芪和白花蛇舌草-半枝莲；关联分析获得药组15个；高频药物聚类分析获得3个核心药物组合。高频药对白花蛇舌草、半枝莲和黄芪有效成分44个，272个作用靶点；胃癌8 961个靶点，筛选得到共同靶点198个。KEGG通路富集分析得到83条相关通路，主要富集在癌症信号通路、凋亡信号通路、P53信号通路等。结论 中药复方专利治疗胃癌有规律可循，组方可寒温并用，以补虚健脾，解毒抑瘤为基本治法。其作用机制具有多成分、多靶点、多通路的特点。

Objective To analyze the medication rule and mechanism of traditional Chinese medicine compound of national patent database in treating gastric cancer based on data mining and network pharmacology. Methods The patent of TCM compound for treating gastric cancer from inception to October 2023 were searched by national patent database. The prescription database was established with Microsoft Excel software. The ancient and modern medical case cloud platform and IBM SPSS Modeler were used to perform attribute analysis, frequency analysis, association rule analysis, and cluster analysis. TCMSP was used to obtain the effective constituents and target sites of Hedyoti Diffusae Herba, Scutellariae Barbatae Herba and Astragali Radix. Disease targets of gastric cancer were obtained by GeneCards, DrugBank, OMIM, PharmGkb and TTD databases. R language was used to screen common targets. Target protein interaction PPI network was constructed using STRING database. Construct drug component-disease target network map and screen common target core targets using Cytoscape software. KEGG analysis using R language. Results A total of 287 TCM compound patents were included, including 838 Chinese herbs. They came from 24 provinces, municipalities and autonomous regions. Their properties were mainly warm, average and cold, the tastes were mainly sweet, bitter and pungent。 Drugs were mainly belong to spleen, liver and lung channel tropism. High-frequency single traditional Chinese medicines include hedyotis diffusae, Astragalus membranaceus, licorice, atractylodes macrocephala and Scutellaria barbata, etc. High-frequency drug pairs including "Hedyoti Diffusae Herba-Astragali Radix"and "Hedyoti Diffusae Herba-Scutellariae Barbatae Herba". The association rule analysis obtained 15 drug groups. Three core drug groups were obtained by cluster analysis of high-frequency drugs. There were 44 effective components and 272 targets of high frequency drug against Hedyoti Diffusae Herba, Scutellariae Barbatae Herba and Astragali Radix. There were 8 961 targets in gastric cancer, and 198 common targets were identified by screening. KEGG pathway enrichment analysis showed 83 related pathways, mainly concentrated in cancer signaling pathway, apoptosis signaling pathway, P53 signaling pathway, etc. Conclusion The treatment of gastric cancer with traditional Chinese medicine compound has an obvious rule. In the treatment of gastric cancer, the formula can be combined with cold and warm drugs, and the basic treatment is to enhance body function and inhibit tumor growth. The mechanism is characterized by multiple components, targets and pathways.

R285.5

陕西省自然科学基础研究计划项目(2023-JC-YB-803)