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Identification of significant pathways in gastric cancer based on protein-protein interaction networks and cluster analysis

Gastric cancer is one of the most common and lethal cancers worldwide. However, despite its clinical importance, the regulatory mechanisms involved in the aggressiveness of this cancer are still poorly understood. A better understanding of the biology, genetics and molecular mechanisms of gastric ca...

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Detalles Bibliográficos
Autores principales: Hu, Kongwang, Chen, Feihu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Genética 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3459423/
https://www.ncbi.nlm.nih.gov/pubmed/23055812
http://dx.doi.org/10.1590/S1415-47572012005000045
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author Hu, Kongwang
Chen, Feihu
author_facet Hu, Kongwang
Chen, Feihu
author_sort Hu, Kongwang
collection PubMed
description Gastric cancer is one of the most common and lethal cancers worldwide. However, despite its clinical importance, the regulatory mechanisms involved in the aggressiveness of this cancer are still poorly understood. A better understanding of the biology, genetics and molecular mechanisms of gastric cancer would be useful in developing novel targeted approaches for treating this disease. In this study we used protein-protein interaction networks and cluster analysis to comprehensively investigate the cellular pathways involved in gastric cancer. A primary immunodeficiency pathway, focal adhesion, ECM-receptor interactions and the metabolism of xenobiotics by cytochrome P450 were identified as four important pathways associated with the progression of gastric cancer. The genes in these pathways, e.g., ZAP70, IGLL1, CD79A, COL6A3, COL3A1, COL1A1, CYP2C18 and CYP2C9, may be considered as potential therapeutic targets for gastric cancer.
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spelling pubmed-34594232012-10-10 Identification of significant pathways in gastric cancer based on protein-protein interaction networks and cluster analysis Hu, Kongwang Chen, Feihu Genet Mol Biol Genomics and Bioinformatics Gastric cancer is one of the most common and lethal cancers worldwide. However, despite its clinical importance, the regulatory mechanisms involved in the aggressiveness of this cancer are still poorly understood. A better understanding of the biology, genetics and molecular mechanisms of gastric cancer would be useful in developing novel targeted approaches for treating this disease. In this study we used protein-protein interaction networks and cluster analysis to comprehensively investigate the cellular pathways involved in gastric cancer. A primary immunodeficiency pathway, focal adhesion, ECM-receptor interactions and the metabolism of xenobiotics by cytochrome P450 were identified as four important pathways associated with the progression of gastric cancer. The genes in these pathways, e.g., ZAP70, IGLL1, CD79A, COL6A3, COL3A1, COL1A1, CYP2C18 and CYP2C9, may be considered as potential therapeutic targets for gastric cancer. Sociedade Brasileira de Genética 2012 2012-07-13 /pmc/articles/PMC3459423/ /pubmed/23055812 http://dx.doi.org/10.1590/S1415-47572012005000045 Text en Copyright © 2012, Sociedade Brasileira de Genética. License information: This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Genomics and Bioinformatics
Hu, Kongwang
Chen, Feihu
Identification of significant pathways in gastric cancer based on protein-protein interaction networks and cluster analysis
title Identification of significant pathways in gastric cancer based on protein-protein interaction networks and cluster analysis
title_full Identification of significant pathways in gastric cancer based on protein-protein interaction networks and cluster analysis
title_fullStr Identification of significant pathways in gastric cancer based on protein-protein interaction networks and cluster analysis
title_full_unstemmed Identification of significant pathways in gastric cancer based on protein-protein interaction networks and cluster analysis
title_short Identification of significant pathways in gastric cancer based on protein-protein interaction networks and cluster analysis
title_sort identification of significant pathways in gastric cancer based on protein-protein interaction networks and cluster analysis
topic Genomics and Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3459423/
https://www.ncbi.nlm.nih.gov/pubmed/23055812
http://dx.doi.org/10.1590/S1415-47572012005000045
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