基于数据挖掘探究从痰毒瘀论治肺癌方剂配伍规律  

Exploring the Compatibility Law of Prescriptions for Treating Lung Cancer from the Perspective of Phlegm-Toxicity-Stasis Based on Data Mining

作　　者：王如洁 黄创豪 陈文君 尹悦 陈滨海 WANG Rujie;HUANG Chuanghao;CHEN Wenjun;YIN Yue;CHEN Binhai(The Second Clinical Medical School of Zhejiang Chinese Medical University,Hangzhou Zhejiang 310053,China;The Fourth Clinical Medical School of Zhejiang Chinese Medical University,Hangzhou Zhejiang 310053,China;The Second Affiliated Hospital of Zhejiang Chinese Medical University,Hangzhou Zhejiang 310005,China)

机构地区：[1]浙江中医药大学第二临床医学院,浙江杭州310053 [2]浙江中医药大学第四临床医学院,浙江杭州310053 [3]浙江中医药大学附属第二医院,浙江杭州310005

出　　处：《新中医》2023年第15期132-137,共6页New Chinese Medicine

基　　金：浙江省中医药科技计划项目(2022ZB148)。

摘　　要：目的:基于中医传承辅助平台(V2.5)挖掘《肿瘤方剂大辞典》《肿瘤良方大全》以及《中华人民共和国药典》中从痰毒瘀论治肺癌的方剂,分析其组方用药规律。方法:收集、筛选《肿瘤方剂大辞典》《肿瘤良方大全》以及《中华人民共和国药典》中从痰毒瘀论治肺癌的内服方剂,录入中医传承辅助平台(V2.5)并建立数据库,利用关联规则、复杂系统熵聚类、无规则监督熵层次聚类等数据挖掘方法,分析中医药治疗肺癌方剂的组方用药规律。结果:最终纳入方剂112首,涉及中药281味,四气以寒为主,五味以苦为主,主要归肺经,出现频次最高的前10味药物依次为白花蛇舌草、夏枯草、鱼腥草、薏苡仁、半枝莲、海藻、重楼、浙贝母、北沙参、瓜蒌。得出核心组合10个,演化得到新方5首。结论:中医药从痰毒瘀论治肺癌以清热解毒、化痰散结、活血化瘀为主要治法,适当配以益气养阴,攻补兼施,从而抑制肺癌进一步发展,提高肺癌治疗临床疗效。Objective:To explore the prescriptions for treating lung cancer from the perspective of phlegm-toxicity-stasis in the Zhong Liu Fang Ji Da Ci Dian(Dictionary of Tumor Prescriptions),Zhong Liu Liang Fang Da Quan(Complete Compilation of Good Tumor Prescriptions),and Zhong Hua Ren Min Gong He Guo Yao Dian(China Pharmacopoiea),based on the Traditional Chinese Medicine Inheritance Support System(TCMISS,V2.5)and to analyze their medication patterns.Methods:Collect and screen the internal prescriptions for lung cancer of phlegm-toxicity-stasis in the Zhong Liu Fang Ji Da Ci Dian(Dictionary of Tumor Prescriptions),Zhong Liu Liang Fang Da Quan(Complete Compilation of Good Tumor Prescriptions),and Zhong Hua Ren Min Gong He Guo Yao Dian(Pharmacopoiea of the People's Republic of China),enter them into the TCMISS(V2.5)and establish a database.Use data mining methods such as association rules,complex system entropy clustering,and irregular supervised entropy hierarchical clustering to analyze the regularity of the composition and use of TCM prescriptions for lung cancer.Results:A total of 112 prescriptions were ultimately included,involving 281 Chinese medicinals.The four qi were mainly cold,and the five flavors were mainly bitter,mainly attributed to the lung meridian.The top 10 drugs with the highest frequency of occurrence were Oldenlandla Diffusae Herba,Prunellae Spica,Houttuyniae Herba,Coicis Semen,Scutellariae Barbatae Herba,Sargassum,Paridis Rhizoma,Fritillariae Thunbergii Bulbus,Glehniae Radix,and Trichosanthis Fructus.Obtained 10 core combinations and evolved into 5 new ones.Conclusion:TCM prescriptions for treating lung cancer of phlegm-toxicity-stasis,with the main treatment methods of clearing heat,resolving toxin,dissolving phlegm and dissipating masses,and promoting blood circulation and resolving blood stasis.It is appropriately combined with tonifying qi and yin,as well as attacking and supplementing,in order to inhibit the further development of lung cancer and improve its clinical efficacy.

关 键 词：肺癌 痰毒瘀 数据挖掘 中医传承辅助平台 用药规律 

分 类 号：R734.2[医药卫生—肿瘤]