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Identification of copy number alterations in colon cancer from analysis of amplicon-based next generation sequencing data
The objective of this study was to determine the feasibility to detect copy number alterations in colon cancer samples using Next Generation Sequencing data and to elucidate the association between copy number alterations in specific genes and the development of cancer in different colon segments. W...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945505/ https://www.ncbi.nlm.nih.gov/pubmed/29755661 http://dx.doi.org/10.18632/oncotarget.24912 |
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author | Oliveira, Duarte Mendes Santamaria, Gianluca Laudanna, Carmelo Migliozzi, Simona Zoppoli, Pietro Quist, Michael Grasso, Catie Mignogna, Chiara Elia, Laura Faniello, Maria Concetta Marinaro, Cinzia Sacco, Rosario Corcione, Francesco Viglietto, Giuseppe Malanga, Donatella Rizzuto, Antonia |
author_facet | Oliveira, Duarte Mendes Santamaria, Gianluca Laudanna, Carmelo Migliozzi, Simona Zoppoli, Pietro Quist, Michael Grasso, Catie Mignogna, Chiara Elia, Laura Faniello, Maria Concetta Marinaro, Cinzia Sacco, Rosario Corcione, Francesco Viglietto, Giuseppe Malanga, Donatella Rizzuto, Antonia |
author_sort | Oliveira, Duarte Mendes |
collection | PubMed |
description | The objective of this study was to determine the feasibility to detect copy number alterations in colon cancer samples using Next Generation Sequencing data and to elucidate the association between copy number alterations in specific genes and the development of cancer in different colon segments. We report the successful detection of somatic changes in gene copy number in 37 colon cancer patients by analysis of sequencing data through Amplicon CNA Algorithm. Overall, we have found a total of 748 significant copy number alterations in 230 significant genes, of which 143 showed CN losses and 87 showed CN gains. Validation of results was performed on 20 representative genes by quantitative qPCR and/or immunostaining. By this analysis, we have identified 4 genes that were subjected to copy number alterations in tumors arising in all colon segments (defined “common genes”) and the presence of copy number alterations in 14 genes that were significantly associated to one specific site (defined “site-associated genes”). Finally, copy number alterations in ASXL1, TSC1 and IL7R turned out to be clinically relevant since the loss of TSC1 and IL7R was associated with advanced stages and/or reduced survival whereas copy number gain of ASXL1 was associated with good prognosis. |
format | Online Article Text |
id | pubmed-5945505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-59455052018-05-13 Identification of copy number alterations in colon cancer from analysis of amplicon-based next generation sequencing data Oliveira, Duarte Mendes Santamaria, Gianluca Laudanna, Carmelo Migliozzi, Simona Zoppoli, Pietro Quist, Michael Grasso, Catie Mignogna, Chiara Elia, Laura Faniello, Maria Concetta Marinaro, Cinzia Sacco, Rosario Corcione, Francesco Viglietto, Giuseppe Malanga, Donatella Rizzuto, Antonia Oncotarget Research Paper The objective of this study was to determine the feasibility to detect copy number alterations in colon cancer samples using Next Generation Sequencing data and to elucidate the association between copy number alterations in specific genes and the development of cancer in different colon segments. We report the successful detection of somatic changes in gene copy number in 37 colon cancer patients by analysis of sequencing data through Amplicon CNA Algorithm. Overall, we have found a total of 748 significant copy number alterations in 230 significant genes, of which 143 showed CN losses and 87 showed CN gains. Validation of results was performed on 20 representative genes by quantitative qPCR and/or immunostaining. By this analysis, we have identified 4 genes that were subjected to copy number alterations in tumors arising in all colon segments (defined “common genes”) and the presence of copy number alterations in 14 genes that were significantly associated to one specific site (defined “site-associated genes”). Finally, copy number alterations in ASXL1, TSC1 and IL7R turned out to be clinically relevant since the loss of TSC1 and IL7R was associated with advanced stages and/or reduced survival whereas copy number gain of ASXL1 was associated with good prognosis. Impact Journals LLC 2018-04-17 /pmc/articles/PMC5945505/ /pubmed/29755661 http://dx.doi.org/10.18632/oncotarget.24912 Text en Copyright: © 2018 Oliveira et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Oliveira, Duarte Mendes Santamaria, Gianluca Laudanna, Carmelo Migliozzi, Simona Zoppoli, Pietro Quist, Michael Grasso, Catie Mignogna, Chiara Elia, Laura Faniello, Maria Concetta Marinaro, Cinzia Sacco, Rosario Corcione, Francesco Viglietto, Giuseppe Malanga, Donatella Rizzuto, Antonia Identification of copy number alterations in colon cancer from analysis of amplicon-based next generation sequencing data |
title | Identification of copy number alterations in colon cancer from analysis of amplicon-based next generation sequencing data |
title_full | Identification of copy number alterations in colon cancer from analysis of amplicon-based next generation sequencing data |
title_fullStr | Identification of copy number alterations in colon cancer from analysis of amplicon-based next generation sequencing data |
title_full_unstemmed | Identification of copy number alterations in colon cancer from analysis of amplicon-based next generation sequencing data |
title_short | Identification of copy number alterations in colon cancer from analysis of amplicon-based next generation sequencing data |
title_sort | identification of copy number alterations in colon cancer from analysis of amplicon-based next generation sequencing data |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945505/ https://www.ncbi.nlm.nih.gov/pubmed/29755661 http://dx.doi.org/10.18632/oncotarget.24912 |
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