Analysis of prescription regularity of traditional Chinese medicine for colorectal cancer based on data mining / 中国中药杂志

The tumor prescriptions contained in Dictionary of Tumor Formulas, Compendium of Good Tumor Formulas, Chinese Pharmacopoeia, Ministry of Health Drug Standards for Chinese Medicine Formulas and National Compilation of Standards for Proprietary Chinese Medicines were selected and organized to construct a database for tumor prescriptions, and the data mining techniques were applied to investigate the prescription regularity of colorectal cancer prescriptions. The formula data were extracted after screening in strict accordance with the inclusion and exclusion criteria, and were then analyzed with Microsoft Excel 2010 for frequency statistics, Apriori block provided by SPSS Clementine 12.0 software for correlation rule analysis, and arules and arulesViz packages in R 4.0.2 software for correlation rule visualization. In addition, SPSS 18.0 software was used for cluster analysis and factor analysis, in which cluster analysis was performed by Ochiai algorithm with bicategorical variables in systematic clustering method and factor analysis was performed mainly with principal component analysis. A total of 285 prescriptions were included in the statistical analysis, and the frequency statistics showed that 43 herbs had been used more than 16 times. The association rules analysis showed that 26 high-frequency me-dicine pair rules were obtained, and the association rules for those dispelling evil spirits, strengthening the body, resolving stasis, dispelling dampness, etc. were visualized. In the cluster analysis, we generated a dendrogram from which 7 groups of traditional Chinese medicines with homogeneity were extracted. 10 common factors were obtained in the factor analysis. The types of herbal medicines involved in the colorectal cancer prescription included anti-cancer antidotes, strengthening and tonifying medicines, blood-regulating medicines, and expectorant medicines, corresponding to the treatment for eliminating evil spirits, strengthening, resolving stasis, and expectorating dampness. The prescriptions for anti-cancer detoxification were normally based on the pairs composed of Scutellaria barbata-Hedyotis diffusa and Sophora flavescens, Sargentodoxa cuneata, S. barbata, often combined with stasis relieving drug and dampness eliminating drug, reflecting the characteristics of treatment for both toxicity and stasis, dampness and toxicity simultaneously. The prescriptions for strengthening the righteousness and tonifying the deficiency were composed of Astragalus membranaceus and Atractylodes macrocephala mainly, exerting the effect of benefiting Qi, strengthening the spleen and drying dampness, tonifying kidney and essence, tonifying blood and invigorating blood. Meanwhile, anti-cancer detoxification medicines shall be reduced as much as possible. The compatibility of the medicines for the intestinal tract reflected the principle of using the right medicine for the right condition and eliminating evil spirits or strengthening the body, as appropriate.

Correlation analysis of efficacy of yiqi chutan recipe in treating NSCLC and P4HB expression / 中国中西医结合杂志

<p><b>OBJECTIVE</b>To study the predicting effect of proly 4-hydroxylase beta polypeptide (P4HB) in treating non-small cell lung cancer (NSCLC) patients by Yiqi Chutan Recipe (YCR).</p><p><b>METHODS</b>Totally 46 stage III and IV NSCLC patients were treated by YCR for 4 therapeutic courses. Effect was assessed by RECIST of solid tumor. P4HB expression was detected in the lung cancer tissue by immunohistochemical assay. Factors affecting disease control rates (DCR) of YCR were analyzed by Logistic regression analysis. The correlation between P4HB expression and the effect of YCR was analyzed.</p><p><b>RESULTS</b>The DCR of advanced NSCLC treated by YCR was 36.96% (17/46 cases). P4HB was high expressed in advanced lung cancer tissue (6/15 cases). Gender, initial treatment, and retreatment are independent factors for affecting DCR of treating lung cancer by YCR.</p><p><b>CONCLUSION</b>P4HB might be taken as a factor for predicting the effect of YCR in treating NSCLC.</p>