Shuai ZHANG, Juan CHEN, Sheng LIU. Data mining-based study of professor Liu Sheng’s medication principles for triple negative breast cancer. [J]. Shanghai Journal of Traditional Chinese Medicine 55(10):19-23(2021)
DOI:
Shuai ZHANG, Juan CHEN, Sheng LIU. Data mining-based study of professor Liu Sheng’s medication principles for triple negative breast cancer. [J]. Shanghai Journal of Traditional Chinese Medicine 55(10):19-23(2021) DOI: 10.16305/j.1007-1334.2021.1812023.
Data mining-based study of professor Liu Sheng’s medication principles for triple negative breast cancer
Objective,2,To analyze and summarize Professor Liu Sheng’s medication principles in the treatment of triple negative breast cancer (TNBC) based on data mining technology.,Methods,2,The medical records and prescriptions for the treatment of TNBC from Professor Liu Sheng’s outpatient clinic were collected to establish a database. Excel 2010 was used for data mining and clustering, and statistical information on the use frequency and efficacy, four qi, five flavors, and meridian tropism of traditional Chinese herbal medicines (TCHMs) was obtained. IBM SPSS Modeler 14.1 software was used for modeling, and medicinal association rule analysis and symptom-medicine association rule analysis were performed with Apriori algorithm. IBM SPSS 21.0 statistical software was used for cluster analysis to obtain core medications.,Results,2,①A total of 66 patients were included, involving 1,000 prescriptions and 252 TCHMs. ②The more frequently used TCHMs were those that enter the liver, spleen, lung, stomach, and kidney meridians. TCHMs with a use frequency over 50% were Atractylodis Macrocephalae Rhizoma, Poria, Salvia chinensis Benth, Codonopsis Radix, Curcumae Rhizoma, Solanum nigrum L., Epimedii Folium, Scutellariae Barbatae Herba, Polygoni Multiflori Caulis, Albiziae Cortex, and Lilii Bulbus. ③According to the efficacy classification of TCHMs, the top 6 in order of use frequency were heat-clearing and detoxifying medicinals, qi-tonifying medicinals, yang-tonifying medicinals, yin-tonifying medicinals, heart-nourishing and mind-tranquilizing medicinals, and blood-activating and mass-removing medicinals. ④The applied TCHMs were mostly cold in property and sweet, bitter and pungent in flavor. ⑤The medicinal association rules showed: the more frequently used medicinal pairs were Albiziae Cortex-Polygoni Multiflori Caulis, Lilii Bulbus-Polygoni Multiflori Caulis, Lilii Bulbus-Albiziae Cortex, and Anemarrhenae Rhizoma-Lilii Bulbus; the more frequently used medicinal groups of 3 TCHMs were Albiziae Cortex-Polygoni Multiflori Caulis-Lilii Bulbus, and Lilii Bulbus-Polygoni Multiflori Caulis-Anemarrhenae Rhizoma; the more frequently used medicinal groups of 4 TCHMs were Lilii Bulbus-Albiziae Cortex-Polygoni Multiflori Caulis-Anemarrhenae Rhizoma. ⑥A total of 14 medicinal categories were obtained by cluster analysis. Combined with the results of frequency analysis, the core TCHMs used by Professor Liu Sheng for the treatment of TNBC were Atractylodis Macrocephalae Rhizoma, Poria, Salvia chinensis Benth, Codonopsis Radix, Curcumae Rhizoma, Solanum nigrum L. and Epimedii Folium. The results of association rules showed that the common medicinal pairs used by Professor Liu Sheng for the treatment of concurrent symptoms of TNBC were Polygoni Multiflori Caulis-Albiziae Cortex, Lilii Bulbus-Anemarrhenae Rhizoma, Atractylodis Rhizoma-Magnoliae Officinalis Cortex, and Pinelliae Rhizoma-Citri Reticulatae Pericarpium.,Conclusion,2,Professor Liu Sheng treats TNBC by strengthening the spleen and supplementing kidney, resolving phlegm and eliminating blood stasis, removing toxins and extinguishing wind, and he treats both primary and concurrent syndromes simultaneously.
关键词
三阴性乳腺癌数据挖掘中药研究刘胜
Keywords
triple negative breast cancerdata miningresearoh of traditinal Chinese herbal medicineLiu Sheng
references
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