摘要
目的通过关联规则、聚类分析的方法探讨中医药在肿瘤免疫治疗中的用药规律。方法以“免疫治疗”and“中医/中药”为检索词,通过检索2005年1月—2020年12月中国期刊全文数据库(CNKI)肿瘤免疫治疗中运用中医药的文献,运用Excel 2019建立数据库、SPSS Molder 18.0进行关联分析、SPSS statistics 26.0进行聚类分析,探索中医药在肿瘤免疫治疗的用药规律。结果经筛选剔除重复,共纳入文献53篇,纳入方剂88首,累计用药217味,累计频次742次。其中使用频次≧10次的中药共15味,频次共计280次(38.88%),应用频次最多的为补虚药(黄芪、白术、当归、人参、白芍、党参、熟地黄、山药、甘草)占比约60.00%。其次为利水渗湿药(茯苓、薏苡仁)占比约13.00%,理气药(陈皮)、化痰药(半夏)、破血逐瘀药(莪术)及清热解毒药(白花蛇舌草)占比基本一致,约为7.00%。使用频次≥10次的药物从药性分析:温(53.33%)、平(26.66%)应用频率较高;从药味分析:甘(66.66%)、辛(20.00%)、苦(13.33%)频率较高。从药对出现频次和药物组合关联规则分析发现,黄芪-白术(20)出现频次最高,且关联性最强。从药物的社团分析发现,黄芪、白术、茯苓、甘草、白芍、陈皮为其中的核心药物。结论以黄芪-白术为代表的益气健脾中药在肿瘤免疫治疗中应用最多,可能是通过提高机体免疫应答,起到增强肿瘤免疫治疗的效果。
Objective To explore the rule of traditional Chinese medicine in tumor immunotherapy by association rules and cluster analysis.Methods With“immunotherapy”and“traditional Chinese medicine/traditional Chinese medicine”as the keywords,the literatures on the use of traditional Chinese medicine in tumor immunotherapy were searched in Chinese Journal Full Text Database(CNKI)from January 2005 to December 2020.The database was established using Excel 2019.SPSS Molder 18.0 was used for correlation analysis and SPSS statistics 26.0 was used for cluster analysis to explore the medication rule of traditional Chinese medicine in tumor immunotherapy.Results After screening and eliminating repetitions,a total of 53 literatures were included,including 88 prescriptions,with a total of 217 drugs and a total of 742 times of cumulative frequency.Among them,there were 15 Chinese drugs with a frequency more than 10 times,280 times(38.88%)in total,and the most frequently used drugs were tonifying deficiency[Huangqi(Astragali Radix),Baizhu(Atractylodis Macrocephalae Rhizoma),Danggui(Angelicae Sinensis Radix),Renshen(Ginseng Radix Et Rhizoma),Baishao(Paeoniae Radix Alba),Dangshen(Codonopsis Radix),Shudihuang(Rehmanniae Radix Praeparata),Shanyao(Dioscoreae Rhizoma)and Gancao(Glycyrrhizae Radix Et Rhizoma)]accounted for about 60.00%.Secondly,the proportion of promoting urination and eliminating damness drugs was about 13.00%[Fuling(Poria)and Yiyiren(Coicis Semen)],and the proportion of Qi-regulating drugs[Chenpi(Citri Reticulatae Pericarpium)],phlegm-resolving drugs[Banxia(Pinelliae Rhizoma)],activating blood stasis drugs[Ezhu(Curcumae Rhizoma)]and heat-clearing and detoxifying drugs[Baihuasheshecao(Hedyoti Diffusae Herba)]was basically the same,which was about 7.00%.Drug property analysis of drugs with frequency more than 10 times:the frequency of warm(53.33%)and gental nature(26.66%)was higher.According to the analysis of drug taste,the frequency of sweet(66.66%),pungent(20.00%)and bitter(13.33%)tastes was high.The analysis of the occurrence frequency of drug pairs and the association rules of drug combinations found that Huangqi(Astragali Radix)-Baizhu(Atractylodis Macrocephalae Rhizoma)(20)had the highest occurrence frequency and the strongest correlation.According to the analysis of drug associations,Huangqi(Astragali Radix),Baizhu(Atractylodis Macrocephalae Rhizoma),Fuling(Poria),Gancao(Glycyrrhizae Radix Et Rhizoma),Baishao(Paeoniae Radix Alba)and Chenpi(Citri Reticulatae Pericarpium)were the core drugs.Conclusion Represented by Huangqi(Astragali Radix)and Baizhu(Atractylodis Macrocephalae Rhizoma)which can benefit Qi and strengthen spleen in traditional Chinese medicine in cancer immunotherapy applications,the machenism is most likely increasing the body′s immune response by enhancing the effect of tumor immunotherapy.
作者
连露露
范小璇
赵晓平
张志刚
司泽钰
薄晗
封玉宁
林隆杰
王凯
LIAN Lulu;FAN Xiaoxuan;ZHAO Xiaoping;ZHANG Zhigang;SI Zeyu;BO Han;FENG Yuning;LIN Longjie;WANG Kai(The First Clinical Medical College of Shaanxi University of Chinese Medicine,Xianyang 712046,Shaanxi,China;Affiliated Hospital of Shaanxi University of Chinese Medicine,Shaanxi Clinical Research Center of TCM Brain Disease,Xianyang 712046,Shaanxi,China;Ankang Hospital of Chinese Medicine,Ankang 735000,Shaanxi,China)
出处
《辽宁中医杂志》
CAS
2023年第1期5-9,I0001,共6页
Liaoning Journal of Traditional Chinese Medicine
基金
国家自然科学基金资助项目(82003653)
陕西省省级院士工作站建设项目(2019-30)
陕西省中西医结合临床协作创新项目(2020-ZXY-007)
陕西省中医脑病临床医学研究中心建设项目(201704)。
关键词
中医药
肿瘤免疫治疗
关联规则
聚类分析
用药规律
traditional Chinese medicine
tumor immunotherapy
association rules
clustering analysis
medication law
作者简介
连露露(1996-),男,陕西渭南人,硕士在读,研究方向:颅脑损伤、脑血管疾病及神经系统肿瘤的中西医结合临床研究。;通讯作者:范小璇(1979-),男,陕西宝鸡人,教授、主任医师,硕士研究生导师,博士,研究方向:颅脑损伤、脑血管病及神经系统肿瘤的中西医结合临床研究,E-mail:szfyfxx@163.com。
