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Deciphering of Key Pharmacological Pathways of Poria Cocos Intervention in Breast Cancer Based on Integrated Pharmacological Method

OBJECTIVE: Poria cocos (Fuling), a natural plant, has recently emerged as a promising strategy for cancer treatment. However, the molecular mechanisms of Poria cocos action in breast cancer remain poorly understood. METHODS: TCMSP database was used to screen the potential active ingredients in Poria...

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Autores principales: Ma, Xiaoran, Wu, Jibiao, Liu, Cun, Li, Jie, Dong, Shixia, Zhang, Xiaolu, Wang, Jia, Liu, Lijuan, Zhang, Xiaoming, Sun, Peng, Zhuang, Jing, Sun, Changgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603580/
https://www.ncbi.nlm.nih.gov/pubmed/33149754
http://dx.doi.org/10.1155/2020/4931531
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author Ma, Xiaoran
Wu, Jibiao
Liu, Cun
Li, Jie
Dong, Shixia
Zhang, Xiaolu
Wang, Jia
Liu, Lijuan
Zhang, Xiaoming
Sun, Peng
Zhuang, Jing
Sun, Changgang
author_facet Ma, Xiaoran
Wu, Jibiao
Liu, Cun
Li, Jie
Dong, Shixia
Zhang, Xiaolu
Wang, Jia
Liu, Lijuan
Zhang, Xiaoming
Sun, Peng
Zhuang, Jing
Sun, Changgang
author_sort Ma, Xiaoran
collection PubMed
description OBJECTIVE: Poria cocos (Fuling), a natural plant, has recently emerged as a promising strategy for cancer treatment. However, the molecular mechanisms of Poria cocos action in breast cancer remain poorly understood. METHODS: TCMSP database was used to screen the potential active ingredients in Poria cocos. GEO database was used to identify differentially expressed genes. Network pharmacology was used to identify the specific pathways and key target proteins related to breast cancer. Finally, molecular docking was used to validate the results. RESULTS: In our study, 237 targets were predicted for 15 potential active ingredients found in Poria cocos. An interaction network of predicted targets and genes differentially regulated in breast cancers was constructed. Based on the constructed network and further analysis including network topology, KEGG, survival analysis, and gene set enrichment analysis, 3 primary nodes were identified as key potential targets that were significantly enriched in the PPAR signaling pathway. CONCLUSION: The results showed that potential active ingredients of Poria cocos might interfere with breast cancer through synergistic regulation of PTGS2, ESR1, and FOS.
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spelling pubmed-76035802020-11-03 Deciphering of Key Pharmacological Pathways of Poria Cocos Intervention in Breast Cancer Based on Integrated Pharmacological Method Ma, Xiaoran Wu, Jibiao Liu, Cun Li, Jie Dong, Shixia Zhang, Xiaolu Wang, Jia Liu, Lijuan Zhang, Xiaoming Sun, Peng Zhuang, Jing Sun, Changgang Evid Based Complement Alternat Med Research Article OBJECTIVE: Poria cocos (Fuling), a natural plant, has recently emerged as a promising strategy for cancer treatment. However, the molecular mechanisms of Poria cocos action in breast cancer remain poorly understood. METHODS: TCMSP database was used to screen the potential active ingredients in Poria cocos. GEO database was used to identify differentially expressed genes. Network pharmacology was used to identify the specific pathways and key target proteins related to breast cancer. Finally, molecular docking was used to validate the results. RESULTS: In our study, 237 targets were predicted for 15 potential active ingredients found in Poria cocos. An interaction network of predicted targets and genes differentially regulated in breast cancers was constructed. Based on the constructed network and further analysis including network topology, KEGG, survival analysis, and gene set enrichment analysis, 3 primary nodes were identified as key potential targets that were significantly enriched in the PPAR signaling pathway. CONCLUSION: The results showed that potential active ingredients of Poria cocos might interfere with breast cancer through synergistic regulation of PTGS2, ESR1, and FOS. Hindawi 2020-10-09 /pmc/articles/PMC7603580/ /pubmed/33149754 http://dx.doi.org/10.1155/2020/4931531 Text en Copyright © 2020 Xiaoran Ma et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ma, Xiaoran
Wu, Jibiao
Liu, Cun
Li, Jie
Dong, Shixia
Zhang, Xiaolu
Wang, Jia
Liu, Lijuan
Zhang, Xiaoming
Sun, Peng
Zhuang, Jing
Sun, Changgang
Deciphering of Key Pharmacological Pathways of Poria Cocos Intervention in Breast Cancer Based on Integrated Pharmacological Method
title Deciphering of Key Pharmacological Pathways of Poria Cocos Intervention in Breast Cancer Based on Integrated Pharmacological Method
title_full Deciphering of Key Pharmacological Pathways of Poria Cocos Intervention in Breast Cancer Based on Integrated Pharmacological Method
title_fullStr Deciphering of Key Pharmacological Pathways of Poria Cocos Intervention in Breast Cancer Based on Integrated Pharmacological Method
title_full_unstemmed Deciphering of Key Pharmacological Pathways of Poria Cocos Intervention in Breast Cancer Based on Integrated Pharmacological Method
title_short Deciphering of Key Pharmacological Pathways of Poria Cocos Intervention in Breast Cancer Based on Integrated Pharmacological Method
title_sort deciphering of key pharmacological pathways of poria cocos intervention in breast cancer based on integrated pharmacological method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603580/
https://www.ncbi.nlm.nih.gov/pubmed/33149754
http://dx.doi.org/10.1155/2020/4931531
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