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Identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking

BACKGROUND AND OBJECTIVE: Colon cancer is occurring at an increasing rate and ginger (Zingiber officinale), as a commonly used herbal medicine, has been suggested as a potential agent for colon cancer. This study was aimed to identify the bioactive components and potential mechanisms of ginger for c...

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Autores principales: Zhang, Meng-Meng, Wang, Dan, Lu, Feng, Zhao, Rong, Ye, Xun, He, Lin, Ai, Li, Wu, Chun-Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798235/
https://www.ncbi.nlm.nih.gov/pubmed/33430939
http://dx.doi.org/10.1186/s13040-020-00232-9
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author Zhang, Meng-Meng
Wang, Dan
Lu, Feng
Zhao, Rong
Ye, Xun
He, Lin
Ai, Li
Wu, Chun-Jie
author_facet Zhang, Meng-Meng
Wang, Dan
Lu, Feng
Zhao, Rong
Ye, Xun
He, Lin
Ai, Li
Wu, Chun-Jie
author_sort Zhang, Meng-Meng
collection PubMed
description BACKGROUND AND OBJECTIVE: Colon cancer is occurring at an increasing rate and ginger (Zingiber officinale), as a commonly used herbal medicine, has been suggested as a potential agent for colon cancer. This study was aimed to identify the bioactive components and potential mechanisms of ginger for colon cancer prevention by an integrated network pharmacology approach. METHODS: The putative ingredients of ginger and its related targets were discerned from the TCMSP  and Swiss target prediction database. After that, the targets interacting with colon cancer were collected using Genecards, OMIM, and Drugbank databases. KEGG pathway and GO enrichment analysis were performed to explore the signaling pathways related to ginger for colon cancer treatments. The PPI and compound-target-disease networks were constructed using Cytoscape 3.8.1. Finally, Discovery studio software was employed to confirm the key genes and active components from ginger. RESULTS: Six potential active compounds, 285 interacting targets in addition to 1356 disease-related targets were collected, of which 118 intersection targets were obtained. A total of 34 key targets including PIK3CA, SRC, and TP53 were identified through PPI network analysis. These targets were mainly focused on the biological processes of phosphatidylinositol 3-kinase signaling, cellular response to oxidative stress, and cellular response to peptide hormone stimulus. The KEGG enrichment manifested that three signaling pathways were closely related to colon cancer prevention of ginger, cancer, endocrine resistance, and hepatitis B pathways. TP53, HSP90AA1, and JAK2 were viewed as the most important genes, which were validated by molecular docking simulation. CONCLUSION: This study demonstrated that ginger produced preventive effects against colon cancer by regulating multi-targets and multi-pathways with multi-components. And, the combined data provide novel insight for ginger compounds developed as new drug for anti-colon cancer.
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spelling pubmed-77982352021-01-11 Identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking Zhang, Meng-Meng Wang, Dan Lu, Feng Zhao, Rong Ye, Xun He, Lin Ai, Li Wu, Chun-Jie BioData Min Research BACKGROUND AND OBJECTIVE: Colon cancer is occurring at an increasing rate and ginger (Zingiber officinale), as a commonly used herbal medicine, has been suggested as a potential agent for colon cancer. This study was aimed to identify the bioactive components and potential mechanisms of ginger for colon cancer prevention by an integrated network pharmacology approach. METHODS: The putative ingredients of ginger and its related targets were discerned from the TCMSP  and Swiss target prediction database. After that, the targets interacting with colon cancer were collected using Genecards, OMIM, and Drugbank databases. KEGG pathway and GO enrichment analysis were performed to explore the signaling pathways related to ginger for colon cancer treatments. The PPI and compound-target-disease networks were constructed using Cytoscape 3.8.1. Finally, Discovery studio software was employed to confirm the key genes and active components from ginger. RESULTS: Six potential active compounds, 285 interacting targets in addition to 1356 disease-related targets were collected, of which 118 intersection targets were obtained. A total of 34 key targets including PIK3CA, SRC, and TP53 were identified through PPI network analysis. These targets were mainly focused on the biological processes of phosphatidylinositol 3-kinase signaling, cellular response to oxidative stress, and cellular response to peptide hormone stimulus. The KEGG enrichment manifested that three signaling pathways were closely related to colon cancer prevention of ginger, cancer, endocrine resistance, and hepatitis B pathways. TP53, HSP90AA1, and JAK2 were viewed as the most important genes, which were validated by molecular docking simulation. CONCLUSION: This study demonstrated that ginger produced preventive effects against colon cancer by regulating multi-targets and multi-pathways with multi-components. And, the combined data provide novel insight for ginger compounds developed as new drug for anti-colon cancer. BioMed Central 2021-01-11 /pmc/articles/PMC7798235/ /pubmed/33430939 http://dx.doi.org/10.1186/s13040-020-00232-9 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Meng-Meng
Wang, Dan
Lu, Feng
Zhao, Rong
Ye, Xun
He, Lin
Ai, Li
Wu, Chun-Jie
Identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking
title Identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking
title_full Identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking
title_fullStr Identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking
title_full_unstemmed Identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking
title_short Identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking
title_sort identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798235/
https://www.ncbi.nlm.nih.gov/pubmed/33430939
http://dx.doi.org/10.1186/s13040-020-00232-9
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