基于聚类和关联分析的晚期大肠癌中药用药规律研究  

Study on The Regularity Of Traditional Chinese Medicine For Metastatic Colorectal Cancer Based On Cluster Analysis And Association Analysis

作　　者：靖琳 任建琳[1] 陈文婷[1] 陶灵佳 JING Lin REN Jian-lin CHEN Wen-ting TAO Ling-jia(Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, China)

机构地区：[1]上海中医药大学附属市中医医院,上海200071

出　　处：《中医药导报》2017年第7期67-70,共4页Guiding Journal of Traditional Chinese Medicine and Pharmacy

基　　金：上海市自然科学基金:长链非编码RNA-MALAT1通过PTBP-2激活β-catenin信号通路调控大肠癌侵袭转移及健脾复方对其作用的研究(批号:14ZR1438900);国家自然科学基金:健脾复方通过MALAT1调节PTBP-2激活β-catenin信号通路抑制大肠癌侵袭转移的机制(批号:81473628);上海市科委2016年度"科技创新行动计划"科普项目:你能战胜癌症-中医助力;科学防治大肠癌(批号:16DZ2346400)

摘　　要：目的:通过聚类和关联分析观察临床数据库晚期大肠癌患者用药的聚集现象和关联规律,客观地探索组方用药规律。方法:用EXCEL统计临床数据库各味药的用药频次,对高频中药进行性味归经与药效频次的统计。运用SPSS 21软件对高频中药进行聚类分析;运用SPSS Clementine 12.0对高频中药进行关联分析。结果:选取用药频次在前30的高频中药,形成3个聚类方;选取支持度≥0.4,置信度≥0.8进行关联分析,挖掘出9个核心药物组合。结论:治疗晚期大肠癌以扶正抗癌为主要原则;"调理脾胃,顾护胃气"是治疗晚期大肠癌的关键。Objective： To explore the regularity of traditional Chinese medicine for metastatic colorectal cancer patients by using cluster analysis and association analysis. Methods： EXCEL was applied to count the frequency of traditional Chinese medicine based on the clinical database. Select the high frequency traditional Chinese medicine. SPSS 21 software was used for cluster analysis and SPSS Clementine 12.0 for association analysis. Results： The first 30 of the high frequency traditional Chinese medicine was selected and formed three clustering; The support≥0.4 and confidences≥0.8 for association analysis were selected, and there were 9 core drug combinations. Conclusion： The main principle of treatment for metastatic colorectal cancer is strengthening the body resistance to cancer; Protecting the spleen and stomach is the key to the treatment of metastatic colorectal cancer.

关 键 词：聚类分析 关联分析 晚期大肠癌 高频中药 用药规律 

分 类 号：R273[医药卫生—中西医结合]