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Integrated bioinformatics and network pharmacology to explore the therapeutic target and molecular mechanisms of Taxus chinensis against non-small cell lung cancer
Taxus chinensis (TC) has tremendous therapeutic potential in alleviating non-small cell lung cancer (NSCLC), but the mechanism of action of TC remains unclear. Integrated bioinformatics and network pharmacology were employed in this study to explore the potential targets and molecular mechanism of T...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627628/ https://www.ncbi.nlm.nih.gov/pubmed/37933017 http://dx.doi.org/10.1097/MD.0000000000035826 |
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author | Zhang, Shujuan Wang, Jun Zhang, Hailong |
author_facet | Zhang, Shujuan Wang, Jun Zhang, Hailong |
author_sort | Zhang, Shujuan |
collection | PubMed |
description | Taxus chinensis (TC) has tremendous therapeutic potential in alleviating non-small cell lung cancer (NSCLC), but the mechanism of action of TC remains unclear. Integrated bioinformatics and network pharmacology were employed in this study to explore the potential targets and molecular mechanism of TC against NSCLC. Data obtained from public databases were combined with appropriate bioinformatics tools to identify the common targets for TC and NSCLC. Common targets were uploaded to the Metascape database for gene ontology terms and Kyoto Encyclopedia of Genes and Genomes pathway analyses. A protein–protein interaction network was established, and topological analysis was performed to obtain hub genes. The expression of the hub genes in NSCLC tissues and their consequent effects on the prognosis of patients with NSCLC were confirmed using the Human Protein Atlas database and appropriate bioinformatics tools. Molecular docking was used to verify the binding affinity between the active ingredients and hub targets. We found 401 common targets that were significantly enriched in the cancer, MAPK signaling, and PI3K/Akt signaling pathways. Proto-oncogene tyrosine-protein kinase Src (SRC), mitogen-activated protein kinase 1, phosphoinositide-3-kinase, regulatory subunit 1 (PIK3R1), AKT serine/threonine kinase 1 (AKT1), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), and lymphocyte-specific protein tyrosine kinase were identified as the hub genes. Immunohistochemical results confirmed that the expression of SRC, mitogen-activated protein kinase 1, PIK3R1, AKT1, and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha was upregulated in the NSCLC tissues, while survival analysis revealed the expression of SRC, AKT1, PIK3R1, and lymphocyte-specific protein tyrosine kinase was closely related to the prognosis of patients with NSCLC. Molecular docking results confirmed all bioactive ingredients present in TC strongly bound to hub targets. We concluded that TC exhibits an anti-NSCLC role through multi-target combination and multi-pathway cooperation. |
format | Online Article Text |
id | pubmed-10627628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-106276282023-11-07 Integrated bioinformatics and network pharmacology to explore the therapeutic target and molecular mechanisms of Taxus chinensis against non-small cell lung cancer Zhang, Shujuan Wang, Jun Zhang, Hailong Medicine (Baltimore) 5700 Taxus chinensis (TC) has tremendous therapeutic potential in alleviating non-small cell lung cancer (NSCLC), but the mechanism of action of TC remains unclear. Integrated bioinformatics and network pharmacology were employed in this study to explore the potential targets and molecular mechanism of TC against NSCLC. Data obtained from public databases were combined with appropriate bioinformatics tools to identify the common targets for TC and NSCLC. Common targets were uploaded to the Metascape database for gene ontology terms and Kyoto Encyclopedia of Genes and Genomes pathway analyses. A protein–protein interaction network was established, and topological analysis was performed to obtain hub genes. The expression of the hub genes in NSCLC tissues and their consequent effects on the prognosis of patients with NSCLC were confirmed using the Human Protein Atlas database and appropriate bioinformatics tools. Molecular docking was used to verify the binding affinity between the active ingredients and hub targets. We found 401 common targets that were significantly enriched in the cancer, MAPK signaling, and PI3K/Akt signaling pathways. Proto-oncogene tyrosine-protein kinase Src (SRC), mitogen-activated protein kinase 1, phosphoinositide-3-kinase, regulatory subunit 1 (PIK3R1), AKT serine/threonine kinase 1 (AKT1), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), and lymphocyte-specific protein tyrosine kinase were identified as the hub genes. Immunohistochemical results confirmed that the expression of SRC, mitogen-activated protein kinase 1, PIK3R1, AKT1, and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha was upregulated in the NSCLC tissues, while survival analysis revealed the expression of SRC, AKT1, PIK3R1, and lymphocyte-specific protein tyrosine kinase was closely related to the prognosis of patients with NSCLC. Molecular docking results confirmed all bioactive ingredients present in TC strongly bound to hub targets. We concluded that TC exhibits an anti-NSCLC role through multi-target combination and multi-pathway cooperation. Lippincott Williams & Wilkins 2023-11-03 /pmc/articles/PMC10627628/ /pubmed/37933017 http://dx.doi.org/10.1097/MD.0000000000035826 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | 5700 Zhang, Shujuan Wang, Jun Zhang, Hailong Integrated bioinformatics and network pharmacology to explore the therapeutic target and molecular mechanisms of Taxus chinensis against non-small cell lung cancer |
title | Integrated bioinformatics and network pharmacology to explore the therapeutic target and molecular mechanisms of Taxus chinensis against non-small cell lung cancer |
title_full | Integrated bioinformatics and network pharmacology to explore the therapeutic target and molecular mechanisms of Taxus chinensis against non-small cell lung cancer |
title_fullStr | Integrated bioinformatics and network pharmacology to explore the therapeutic target and molecular mechanisms of Taxus chinensis against non-small cell lung cancer |
title_full_unstemmed | Integrated bioinformatics and network pharmacology to explore the therapeutic target and molecular mechanisms of Taxus chinensis against non-small cell lung cancer |
title_short | Integrated bioinformatics and network pharmacology to explore the therapeutic target and molecular mechanisms of Taxus chinensis against non-small cell lung cancer |
title_sort | integrated bioinformatics and network pharmacology to explore the therapeutic target and molecular mechanisms of taxus chinensis against non-small cell lung cancer |
topic | 5700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627628/ https://www.ncbi.nlm.nih.gov/pubmed/37933017 http://dx.doi.org/10.1097/MD.0000000000035826 |
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