Analysis the Medication Regularity of TCM in the Treatment of Breast Cancer in the Real World Based on Data Mining Method

Corresponding author: yangyi, thehanyang@163.com

DOI: 10.12201/bmr.202506.00022

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  Abstract: Objective: Based on data mining, the medication rules of traditional Chinese medicine (TCM) in the treatment of breast cancer in the real world were analyzed to provide a basis for the treatment of breast cancer with TCM. Methods: The diagnosis and treatment information of patients who were hospitalized in the Affiliated Hospital of Chengdu University of traditional Chinese medicine and treated with TCM for breast cancer from January 2017 to December 2021 was collected. Python 3.10 software was used to realize data mining of the collected Chinese medicine prescriptions. Each Chinese medicine was listed as a variable. The Chinese medicine was recorded as “1” and the unused record was “0”. Analyze the basic situation of patients, TCM syndromes, frequency of Chinese medicine use, four qi and five flavors of drugs, and drug efficacy, and cluster analysis of high-frequency drug systems to summarize the medication rules of real-world Chinese medicine in the treatment of breast cancer. Results: A total of 3020 clinical data of hospitalized patients with breast cancer treated with TCM were collected. The main syndrome diagnosis of traditional Chinese medicine liver depression and qi stagnation ranked first ( accounting for 61.1 % of the cumulative diagnosis ).A total of 240 kinds of TCM were involved, and the cumulative frequency of use was 35462. Among them, 29 kinds of TCM such as angelica, poria cocos, atractylodes macrocephala and bupleurum were used more than 300 times. The four properties of drugs were mainly cold ( 43.5 % ), warm ( 30.0 % ) and flat ( 23.3 % ). The main flavors were sweet ( 46.1 % ), bitter ( 30.9 % ) and pungent ( 20.0 % ). The most frequently used drugs were tonics ( 32.8 % ), followed by heat-clearing drugs ( 16.0 % ) and phlegm-resolving drugs ( 14.7 % ). A total of 7 drug combinations were obtained by systematic cluster analysis. Conclusion: In the real world, the clinical medication of traditional Chinese medicine is mainly tonic medicine, which reflects the principle of traditional Chinese medicine in the treatment of tumors. The four qi and five flavors of the drug follow the dialectical application and the combination of cold and heat. Cluster combination drugs have a wide range of therapeutic effects, and all clinical syndromes of breast cancer are involved. The analysis of TCM medication rules for breast cancer patients can provide reference for clinical rational drug use.

  Key words: Data mining; Medication Regularity; Breast cancer; Herbal Medicine; Cluster analysis

  Submit time: 10 June 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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