Study on the Mechanism of Xiaotan Sanjie Recipe in the Treatment of Colon Cancer Based on Network Pharmacology
The aim of the study is to investigate the mechanism of action of Disulfiram against colon cancer through a network pharmacology approach. The targets were then imported into the Cytoscape 3.7.2 software to construct a network of active ingredient targets and were imported into the STRING database t...
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| Veröffentlicht in: | BioMed research international 2022, Vol.2022 (1), p.9498109-9498109 |
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| description | The aim of the study is to investigate the mechanism of action of Disulfiram against colon cancer through a network pharmacology approach. The targets were then imported into the Cytoscape 3.7.2 software to construct a network of active ingredient targets and were imported into the STRING database to construct a protein-protein interaction (PPI) network, and the Bisogenet plug-in in Cytoscape 3.7.2 was used for network topology analysis. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed on the potential targets of Yiqi and Baiyu Tang for colon cancer using the R-language Bioconductor platform, and the results were imported into Cytoscape 3.7.2 to obtain KEGG network relationship maps. Molecular docking software Autodock Vina was used to map the core targets to the active ingredients. A total of 119 chemical components and 694 disease targets were obtained, including 113 intersecting targets. The key targets included AKT1 and TP53, and GO functional analysis mainly related to ubiquitination and apoptosis, etc. KEGG analysis showed that the treatment of colon cancer with Ganchenzan mainly acted through cancer-related signaling pathways such as AGE-RAGE and P13K-Akt, and the molecular docking results showed the best binding performance with TP53. |
| doi_str_mv | 10.1155/2022/9498109 |
| format | Article |
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The targets were then imported into the Cytoscape 3.7.2 software to construct a network of active ingredient targets and were imported into the STRING database to construct a protein-protein interaction (PPI) network, and the Bisogenet plug-in in Cytoscape 3.7.2 was used for network topology analysis. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed on the potential targets of Yiqi and Baiyu Tang for colon cancer using the R-language Bioconductor platform, and the results were imported into Cytoscape 3.7.2 to obtain KEGG network relationship maps. Molecular docking software Autodock Vina was used to map the core targets to the active ingredients. A total of 119 chemical components and 694 disease targets were obtained, including 113 intersecting targets. The key targets included AKT1 and TP53, and GO functional analysis mainly related to ubiquitination and apoptosis, etc. KEGG analysis showed that the treatment of colon cancer with Ganchenzan mainly acted through cancer-related signaling pathways such as AGE-RAGE and P13K-Akt, and the molecular docking results showed the best binding performance with TP53.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2022/9498109</identifier><identifier>PMID: 36033553</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>AKT protein ; AKT1 protein ; Apoptosis ; Cancer ; Cancer therapies ; Care and treatment ; Cell cycle ; Cellular signal transduction ; Chemotherapy ; Chinese medicine ; Colon ; Colon cancer ; Colorectal cancer ; Disease ; Disulfiram ; Drugs ; Encyclopedias ; Endothelium ; Functional analysis ; Gene mapping ; Genes ; Genomes ; Ligands ; Medicine, Chinese ; Molecular docking ; Network topologies ; Open source software ; p53 Protein ; Pharmacology ; Pharmacology, Experimental ; Protein interaction ; Proteins ; R&D ; Recipes ; Research & development ; Software ; Stem cells ; Topology ; Tumors ; Ubiquitination</subject><ispartof>BioMed research international, 2022, Vol.2022 (1), p.9498109-9498109</ispartof><rights>Copyright © 2022 Xiao-wei Wang et al.</rights><rights>COPYRIGHT 2022 John Wiley & Sons, Inc.</rights><rights>Copyright © 2022 Xiao-wei Wang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2022 Xiao-wei Wang et al. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c453t-ad4e70e9de4970f6b45f4cd43ea607f935716572b31f2f631d92d30446c7c4c53</citedby><cites>FETCH-LOGICAL-c453t-ad4e70e9de4970f6b45f4cd43ea607f935716572b31f2f631d92d30446c7c4c53</cites><orcidid>0000-0002-7077-113X ; 0000-0003-0940-1882</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410815/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410815/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,4010,27900,27901,27902,53766,53768</link.rule.ids></links><search><contributor>Rokaya, Dinesh</contributor><creatorcontrib>Wang, Xiao-wei</creatorcontrib><creatorcontrib>Zhang, Ci-an</creatorcontrib><creatorcontrib>Ye, Min</creatorcontrib><title>Study on the Mechanism of Xiaotan Sanjie Recipe in the Treatment of Colon Cancer Based on Network Pharmacology</title><title>BioMed research international</title><description>The aim of the study is to investigate the mechanism of action of Disulfiram against colon cancer through a network pharmacology approach. The targets were then imported into the Cytoscape 3.7.2 software to construct a network of active ingredient targets and were imported into the STRING database to construct a protein-protein interaction (PPI) network, and the Bisogenet plug-in in Cytoscape 3.7.2 was used for network topology analysis. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed on the potential targets of Yiqi and Baiyu Tang for colon cancer using the R-language Bioconductor platform, and the results were imported into Cytoscape 3.7.2 to obtain KEGG network relationship maps. Molecular docking software Autodock Vina was used to map the core targets to the active ingredients. A total of 119 chemical components and 694 disease targets were obtained, including 113 intersecting targets. The key targets included AKT1 and TP53, and GO functional analysis mainly related to ubiquitination and apoptosis, etc. KEGG analysis showed that the treatment of colon cancer with Ganchenzan mainly acted through cancer-related signaling pathways such as AGE-RAGE and P13K-Akt, and the molecular docking results showed the best binding performance with TP53.</description><subject>AKT protein</subject><subject>AKT1 protein</subject><subject>Apoptosis</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Care and treatment</subject><subject>Cell cycle</subject><subject>Cellular signal transduction</subject><subject>Chemotherapy</subject><subject>Chinese medicine</subject><subject>Colon</subject><subject>Colon cancer</subject><subject>Colorectal cancer</subject><subject>Disease</subject><subject>Disulfiram</subject><subject>Drugs</subject><subject>Encyclopedias</subject><subject>Endothelium</subject><subject>Functional analysis</subject><subject>Gene mapping</subject><subject>Genes</subject><subject>Genomes</subject><subject>Ligands</subject><subject>Medicine, Chinese</subject><subject>Molecular docking</subject><subject>Network topologies</subject><subject>Open source software</subject><subject>p53 Protein</subject><subject>Pharmacology</subject><subject>Pharmacology, Experimental</subject><subject>Protein interaction</subject><subject>Proteins</subject><subject>R&D</subject><subject>Recipes</subject><subject>Research & development</subject><subject>Software</subject><subject>Stem 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international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Xiao-wei</au><au>Zhang, Ci-an</au><au>Ye, Min</au><au>Rokaya, Dinesh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Study on the Mechanism of Xiaotan Sanjie Recipe in the Treatment of Colon Cancer Based on Network Pharmacology</atitle><jtitle>BioMed research international</jtitle><date>2022</date><risdate>2022</risdate><volume>2022</volume><issue>1</issue><spage>9498109</spage><epage>9498109</epage><pages>9498109-9498109</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>The aim of the study is to investigate the mechanism of action of Disulfiram against colon cancer through a network pharmacology approach. The targets were then imported into the Cytoscape 3.7.2 software to construct a network of active ingredient targets and were imported into the STRING database to construct a protein-protein interaction (PPI) network, and the Bisogenet plug-in in Cytoscape 3.7.2 was used for network topology analysis. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed on the potential targets of Yiqi and Baiyu Tang for colon cancer using the R-language Bioconductor platform, and the results were imported into Cytoscape 3.7.2 to obtain KEGG network relationship maps. Molecular docking software Autodock Vina was used to map the core targets to the active ingredients. A total of 119 chemical components and 694 disease targets were obtained, including 113 intersecting targets. The key targets included AKT1 and TP53, and GO functional analysis mainly related to ubiquitination and apoptosis, etc. KEGG analysis showed that the treatment of colon cancer with Ganchenzan mainly acted through cancer-related signaling pathways such as AGE-RAGE and P13K-Akt, and the molecular docking results showed the best binding performance with TP53.</abstract><cop>New York</cop><pub>Hindawi</pub><pmid>36033553</pmid><doi>10.1155/2022/9498109</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-7077-113X</orcidid><orcidid>https://orcid.org/0000-0003-0940-1882</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | AKT protein AKT1 protein Apoptosis Cancer Cancer therapies Care and treatment Cell cycle Cellular signal transduction Chemotherapy Chinese medicine Colon Colon cancer Colorectal cancer Disease Disulfiram Drugs Encyclopedias Endothelium Functional analysis Gene mapping Genes Genomes Ligands Medicine, Chinese Molecular docking Network topologies Open source software p53 Protein Pharmacology Pharmacology, Experimental Protein interaction Proteins R&D Recipes Research & development Software Stem cells Topology Tumors Ubiquitination |
| title | Study on the Mechanism of Xiaotan Sanjie Recipe in the Treatment of Colon Cancer Based on Network Pharmacology |
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