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Systematic investigation of the mechanism of herbal medicines for the treatment of prostate cancer

Due to various unpleasant side effects and general ineffectiveness of current treatments for prostate cancer (PCa), more and more people with PCa try to look for complementary and alternative medicine such as herbal medicine. However, since herbal medicine has multi-components, multi-targets and mul...

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Autores principales: Wang, Jinghui, Ding, Ran, Ouyang, Ting, Gao, Honglei, Kan, Hongxing, Li, Yan, Hu, Qiongying, Yang, Yinfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008508/
https://www.ncbi.nlm.nih.gov/pubmed/36795572
http://dx.doi.org/10.18632/aging.204516
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author Wang, Jinghui
Ding, Ran
Ouyang, Ting
Gao, Honglei
Kan, Hongxing
Li, Yan
Hu, Qiongying
Yang, Yinfeng
author_facet Wang, Jinghui
Ding, Ran
Ouyang, Ting
Gao, Honglei
Kan, Hongxing
Li, Yan
Hu, Qiongying
Yang, Yinfeng
author_sort Wang, Jinghui
collection PubMed
description Due to various unpleasant side effects and general ineffectiveness of current treatments for prostate cancer (PCa), more and more people with PCa try to look for complementary and alternative medicine such as herbal medicine. However, since herbal medicine has multi-components, multi-targets and multi-pathways features, its underlying molecular mechanism of action is not yet known and still needs to be systematically explored. Presently, a comprehensive approach consisting of bibliometric analysis, pharmacokinetic assessment, target prediction and network construction is firstly performed to obtain PCa-related herbal medicines and their corresponding candidate compounds and potential targets. Subsequently, a total of 20 overlapping genes between DEGs in PCa patients and the target genes of the PCa-related herbs, as well as five hub genes, i.e., CCNA2, CDK2, CTH, DPP4 and SRC were determined employing bioinformatics analysis. Further, the roles of these hub genes in PCa were also investigated through survival analysis and tumour immunity analysis. Moreover, to validate the reliability of the C-T interactions and to further explore the binding modes between ingredients and their targets, the molecular dynamics (MD) simulations were carried out. Finally, based on the modularization of the biological network, four signaling pathways, i.e., PI3K-Akt, MAPK, p53 and cell cycle were integrated to further analyze the therapeutic mechanism of PCa-related herbal medicine. All the results show the mechanism of action of herbal medicines on treating PCa from the molecular to systematic levels, providing a reference for the treatment of complex diseases using TCM.
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spelling pubmed-100085082023-03-13 Systematic investigation of the mechanism of herbal medicines for the treatment of prostate cancer Wang, Jinghui Ding, Ran Ouyang, Ting Gao, Honglei Kan, Hongxing Li, Yan Hu, Qiongying Yang, Yinfeng Aging (Albany NY) Research Paper Due to various unpleasant side effects and general ineffectiveness of current treatments for prostate cancer (PCa), more and more people with PCa try to look for complementary and alternative medicine such as herbal medicine. However, since herbal medicine has multi-components, multi-targets and multi-pathways features, its underlying molecular mechanism of action is not yet known and still needs to be systematically explored. Presently, a comprehensive approach consisting of bibliometric analysis, pharmacokinetic assessment, target prediction and network construction is firstly performed to obtain PCa-related herbal medicines and their corresponding candidate compounds and potential targets. Subsequently, a total of 20 overlapping genes between DEGs in PCa patients and the target genes of the PCa-related herbs, as well as five hub genes, i.e., CCNA2, CDK2, CTH, DPP4 and SRC were determined employing bioinformatics analysis. Further, the roles of these hub genes in PCa were also investigated through survival analysis and tumour immunity analysis. Moreover, to validate the reliability of the C-T interactions and to further explore the binding modes between ingredients and their targets, the molecular dynamics (MD) simulations were carried out. Finally, based on the modularization of the biological network, four signaling pathways, i.e., PI3K-Akt, MAPK, p53 and cell cycle were integrated to further analyze the therapeutic mechanism of PCa-related herbal medicine. All the results show the mechanism of action of herbal medicines on treating PCa from the molecular to systematic levels, providing a reference for the treatment of complex diseases using TCM. Impact Journals 2023-02-10 /pmc/articles/PMC10008508/ /pubmed/36795572 http://dx.doi.org/10.18632/aging.204516 Text en Copyright: © 2023 Wang et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Wang, Jinghui
Ding, Ran
Ouyang, Ting
Gao, Honglei
Kan, Hongxing
Li, Yan
Hu, Qiongying
Yang, Yinfeng
Systematic investigation of the mechanism of herbal medicines for the treatment of prostate cancer
title Systematic investigation of the mechanism of herbal medicines for the treatment of prostate cancer
title_full Systematic investigation of the mechanism of herbal medicines for the treatment of prostate cancer
title_fullStr Systematic investigation of the mechanism of herbal medicines for the treatment of prostate cancer
title_full_unstemmed Systematic investigation of the mechanism of herbal medicines for the treatment of prostate cancer
title_short Systematic investigation of the mechanism of herbal medicines for the treatment of prostate cancer
title_sort systematic investigation of the mechanism of herbal medicines for the treatment of prostate cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008508/
https://www.ncbi.nlm.nih.gov/pubmed/36795572
http://dx.doi.org/10.18632/aging.204516
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