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Net1 and Myeov: computationally identified mediators of gastric cancer
Gastric adenocarcinoma (GA) is a significant cause of mortality worldwide. The molecular mechanisms of GA remain poorly characterised. Our aim was to characterise the functional activity of the computationally identified genes, NET 1 and MYEOV in GA. Digital Differential Display was used to identify...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Nature Publishing Group
2006
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2361249/ https://www.ncbi.nlm.nih.gov/pubmed/16552434 http://dx.doi.org/10.1038/sj.bjc.6603054 |
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author | Leyden, J Murray, D Moss, A Arumuguma, M Doyle, E McEntee, G O'Keane, C Doran, P MacMathuna, P |
author_facet | Leyden, J Murray, D Moss, A Arumuguma, M Doyle, E McEntee, G O'Keane, C Doran, P MacMathuna, P |
author_sort | Leyden, J |
collection | PubMed |
description | Gastric adenocarcinoma (GA) is a significant cause of mortality worldwide. The molecular mechanisms of GA remain poorly characterised. Our aim was to characterise the functional activity of the computationally identified genes, NET 1 and MYEOV in GA. Digital Differential Display was used to identify genes altered expression in GA-derived EST libraries. mRNA levels of a subset of genes were quantitated by qPCR in a panel of cell lines and tumour tissue. The effect of pro- and anti-inflammatory stimuli on gene expression was investigated. Cell proliferation and invasion were measured using in an in-vitro GA model following inhibition of expression using siRNA. In all, 23 genes not previously reported in association with GA were identified. Two genes, Net1 and Myeov, were selected for further analysis and increased expression was detected in GA tissue compared to paired normal tissue using quantitative PCR. siRNA-mediated downregulation of Net1 and Myeov resulted in decreased proliferation and invasion of gastric cancer cells in vitro. These functional studies highlight a putative role for NET1 and Myeov in the development and progression of gastric cancer. These genes may provide important targets for intervention in GA, evidenced by their role in promoting invasion and proliferation, key phenotypic hallmarks of cancer cells. |
format | Text |
id | pubmed-2361249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-23612492009-09-10 Net1 and Myeov: computationally identified mediators of gastric cancer Leyden, J Murray, D Moss, A Arumuguma, M Doyle, E McEntee, G O'Keane, C Doran, P MacMathuna, P Br J Cancer Genetics and Genomics Gastric adenocarcinoma (GA) is a significant cause of mortality worldwide. The molecular mechanisms of GA remain poorly characterised. Our aim was to characterise the functional activity of the computationally identified genes, NET 1 and MYEOV in GA. Digital Differential Display was used to identify genes altered expression in GA-derived EST libraries. mRNA levels of a subset of genes were quantitated by qPCR in a panel of cell lines and tumour tissue. The effect of pro- and anti-inflammatory stimuli on gene expression was investigated. Cell proliferation and invasion were measured using in an in-vitro GA model following inhibition of expression using siRNA. In all, 23 genes not previously reported in association with GA were identified. Two genes, Net1 and Myeov, were selected for further analysis and increased expression was detected in GA tissue compared to paired normal tissue using quantitative PCR. siRNA-mediated downregulation of Net1 and Myeov resulted in decreased proliferation and invasion of gastric cancer cells in vitro. These functional studies highlight a putative role for NET1 and Myeov in the development and progression of gastric cancer. These genes may provide important targets for intervention in GA, evidenced by their role in promoting invasion and proliferation, key phenotypic hallmarks of cancer cells. Nature Publishing Group 2006-04-24 2006-03-21 /pmc/articles/PMC2361249/ /pubmed/16552434 http://dx.doi.org/10.1038/sj.bjc.6603054 Text en Copyright © 2006 Cancer Research UK https://creativecommons.org/licenses/by/4.0/This 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 license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license 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 license, visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Genetics and Genomics Leyden, J Murray, D Moss, A Arumuguma, M Doyle, E McEntee, G O'Keane, C Doran, P MacMathuna, P Net1 and Myeov: computationally identified mediators of gastric cancer |
title | Net1 and Myeov: computationally identified mediators of gastric cancer |
title_full | Net1 and Myeov: computationally identified mediators of gastric cancer |
title_fullStr | Net1 and Myeov: computationally identified mediators of gastric cancer |
title_full_unstemmed | Net1 and Myeov: computationally identified mediators of gastric cancer |
title_short | Net1 and Myeov: computationally identified mediators of gastric cancer |
title_sort | net1 and myeov: computationally identified mediators of gastric cancer |
topic | Genetics and Genomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2361249/ https://www.ncbi.nlm.nih.gov/pubmed/16552434 http://dx.doi.org/10.1038/sj.bjc.6603054 |
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