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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Sociedade Brasileira de Genética
2012-01-01
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| Series: | Genetics and Molecular Biology |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000400023 |
| _version_ | 1819273866687545344 |
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| author | Kongwang Hu Feihu Chen |
| author_facet | Kongwang Hu Feihu Chen |
| author_sort | Kongwang Hu |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-23T22:59:21Z |
| format | Article |
| id | doaj.art-a9ff0af7597447158748693c97c70343 |
| institution | Directory Open Access Journal |
| issn | 1415-4757 1678-4685 |
| language | English |
| last_indexed | 2024-12-23T22:59:21Z |
| publishDate | 2012-01-01 |
| publisher | Sociedade Brasileira de Genética |
| record_format | Article |
| series | Genetics and Molecular Biology |
| spelling | doaj.art-a9ff0af7597447158748693c97c703432022-12-21T17:26:57ZengSociedade Brasileira de GenéticaGenetics and Molecular Biology1415-47571678-46852012-01-01353701708Identification of significant pathways in gastric cancer based on protein-protein interaction networks and cluster analysisKongwang HuFeihu ChenGastric 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000400023graph clusteringpathway crosstalkprotein-protein interaction network |
| spellingShingle | Kongwang Hu Feihu Chen Identification of significant pathways in gastric cancer based on protein-protein interaction networks and cluster analysis Genetics and Molecular Biology graph clustering pathway crosstalk protein-protein interaction network |
| 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 | graph clustering pathway crosstalk protein-protein interaction network |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000400023 |
| work_keys_str_mv | AT kongwanghu identificationofsignificantpathwaysingastriccancerbasedonproteinproteininteractionnetworksandclusteranalysis AT feihuchen identificationofsignificantpathwaysingastriccancerbasedonproteinproteininteractionnetworksandclusteranalysis |