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Using association rules mining to explore pattern of Chinese medicinal formulae (prescription) in treating and preventing breast cancer recurrence and metastasis

BACKGROUND: Chinese herbal medicine is increasingly widely used as a complementary approach for control of breast cancer recurrence and metastasis. In this paper, we examined the implicit prescription patterns behind the Chinese medicinal formulae, so as to explore the Chinese medicinal compatibilit...

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Autores principales: He, Yanhua, Zheng, Xiao, Sit, Cindy, Loo, Wings TY, Wang, ZhiYu, Xie, Ting, Jia, Bo, Ye, Qiaobo, Tsui, Kamchuen, Chow, Louis WC, Chen, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3445862/
https://www.ncbi.nlm.nih.gov/pubmed/23046537
http://dx.doi.org/10.1186/1479-5876-10-S1-S12
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author He, Yanhua
Zheng, Xiao
Sit, Cindy
Loo, Wings TY
Wang, ZhiYu
Xie, Ting
Jia, Bo
Ye, Qiaobo
Tsui, Kamchuen
Chow, Louis WC
Chen, Jianping
author_facet He, Yanhua
Zheng, Xiao
Sit, Cindy
Loo, Wings TY
Wang, ZhiYu
Xie, Ting
Jia, Bo
Ye, Qiaobo
Tsui, Kamchuen
Chow, Louis WC
Chen, Jianping
author_sort He, Yanhua
collection PubMed
description BACKGROUND: Chinese herbal medicine is increasingly widely used as a complementary approach for control of breast cancer recurrence and metastasis. In this paper, we examined the implicit prescription patterns behind the Chinese medicinal formulae, so as to explore the Chinese medicinal compatibility patterns or rules in the treatment or control of breast cancer recurrence and metastasis. METHODS: This study was based on the herbs recorded in Pharmacopoeia of the People’s Republic of China, and the literature sources from Chinese Journal Net and China Master Dissertations Full-text Database (1990 – 2010) to analyze the compatibility rule of the prescription. Each Chinese herb was listed according to the selected medicinal formulae and the added information was organized to establish a database. The frequency and the association rules of the prescription patterns were analyzed using the SPSS Clenmentine Data Mining System. An initial statistical analysis was carried out to categorize the herbs according to their medicinal types and dosage, natures, flavors, channel tropism, and functions. Based on the categorization, the frequencies of occurrence were computed. RESULTS: The main prescriptive features from the selected formulae of the mining data are: (1) warm or cold herbs in the Five Properties category; sweet or bitter herbs in the Five Flavors category and with affinity to the liver meridian are the most frequently prescribed in the 96 medicinal formulae; (2) herbs with tonifying and replenishing, blood-activating and stasis-resolving, spleen-strengthening and dampness-resolving or heat-clearing and detoxicating functions that are frequently prescribed; (3) herbs with blood-tonifying, yin-tonifying, spleen-strengthening and dampness-resolving, heat-clearing and detoxicating, and blood-activating with stasis-resolving functions that are interrelated and prescribed in combination with qi-tonifying herbs. CONCLUSIONS: The results indicate that there is a close relationship between recurrence and metastasis of breast cancer with liver dysfunctions. These prescriptions focus on the herbs for nourishing the yin-blood, and emolliating and regulating the liver which seems to be the key element in the treatment process. Meanwhile, the use of qi-tonifying and spleen-strengthening herbs also forms the basis of prescription patterns.
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spelling pubmed-34458622012-09-21 Using association rules mining to explore pattern of Chinese medicinal formulae (prescription) in treating and preventing breast cancer recurrence and metastasis He, Yanhua Zheng, Xiao Sit, Cindy Loo, Wings TY Wang, ZhiYu Xie, Ting Jia, Bo Ye, Qiaobo Tsui, Kamchuen Chow, Louis WC Chen, Jianping J Transl Med Proceedings BACKGROUND: Chinese herbal medicine is increasingly widely used as a complementary approach for control of breast cancer recurrence and metastasis. In this paper, we examined the implicit prescription patterns behind the Chinese medicinal formulae, so as to explore the Chinese medicinal compatibility patterns or rules in the treatment or control of breast cancer recurrence and metastasis. METHODS: This study was based on the herbs recorded in Pharmacopoeia of the People’s Republic of China, and the literature sources from Chinese Journal Net and China Master Dissertations Full-text Database (1990 – 2010) to analyze the compatibility rule of the prescription. Each Chinese herb was listed according to the selected medicinal formulae and the added information was organized to establish a database. The frequency and the association rules of the prescription patterns were analyzed using the SPSS Clenmentine Data Mining System. An initial statistical analysis was carried out to categorize the herbs according to their medicinal types and dosage, natures, flavors, channel tropism, and functions. Based on the categorization, the frequencies of occurrence were computed. RESULTS: The main prescriptive features from the selected formulae of the mining data are: (1) warm or cold herbs in the Five Properties category; sweet or bitter herbs in the Five Flavors category and with affinity to the liver meridian are the most frequently prescribed in the 96 medicinal formulae; (2) herbs with tonifying and replenishing, blood-activating and stasis-resolving, spleen-strengthening and dampness-resolving or heat-clearing and detoxicating functions that are frequently prescribed; (3) herbs with blood-tonifying, yin-tonifying, spleen-strengthening and dampness-resolving, heat-clearing and detoxicating, and blood-activating with stasis-resolving functions that are interrelated and prescribed in combination with qi-tonifying herbs. CONCLUSIONS: The results indicate that there is a close relationship between recurrence and metastasis of breast cancer with liver dysfunctions. These prescriptions focus on the herbs for nourishing the yin-blood, and emolliating and regulating the liver which seems to be the key element in the treatment process. Meanwhile, the use of qi-tonifying and spleen-strengthening herbs also forms the basis of prescription patterns. BioMed Central 2012-09-19 /pmc/articles/PMC3445862/ /pubmed/23046537 http://dx.doi.org/10.1186/1479-5876-10-S1-S12 Text en Copyright ©2012 He et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
He, Yanhua
Zheng, Xiao
Sit, Cindy
Loo, Wings TY
Wang, ZhiYu
Xie, Ting
Jia, Bo
Ye, Qiaobo
Tsui, Kamchuen
Chow, Louis WC
Chen, Jianping
Using association rules mining to explore pattern of Chinese medicinal formulae (prescription) in treating and preventing breast cancer recurrence and metastasis
title Using association rules mining to explore pattern of Chinese medicinal formulae (prescription) in treating and preventing breast cancer recurrence and metastasis
title_full Using association rules mining to explore pattern of Chinese medicinal formulae (prescription) in treating and preventing breast cancer recurrence and metastasis
title_fullStr Using association rules mining to explore pattern of Chinese medicinal formulae (prescription) in treating and preventing breast cancer recurrence and metastasis
title_full_unstemmed Using association rules mining to explore pattern of Chinese medicinal formulae (prescription) in treating and preventing breast cancer recurrence and metastasis
title_short Using association rules mining to explore pattern of Chinese medicinal formulae (prescription) in treating and preventing breast cancer recurrence and metastasis
title_sort using association rules mining to explore pattern of chinese medicinal formulae (prescription) in treating and preventing breast cancer recurrence and metastasis
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3445862/
https://www.ncbi.nlm.nih.gov/pubmed/23046537
http://dx.doi.org/10.1186/1479-5876-10-S1-S12
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