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Prognostic Impact of Array-based Genomic Profiles in Esophageal Squamous Cell Cancer
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a genetically complex tumor type and a major cause of cancer related mortality. Although distinct genetic alterations have been linked to ESCC development and prognosis, the genetic alterations have not gained clinical applicability. We applie...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2374796/ https://www.ncbi.nlm.nih.gov/pubmed/18405350 http://dx.doi.org/10.1186/1471-2407-8-98 |
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author | Carneiro, Ana Isinger, Anna Karlsson, Anna Johansson, Jan Jönsson, Göran Bendahl, Pär-Ola Falkenback, Dan Halvarsson, Britta Nilbert, Mef |
author_facet | Carneiro, Ana Isinger, Anna Karlsson, Anna Johansson, Jan Jönsson, Göran Bendahl, Pär-Ola Falkenback, Dan Halvarsson, Britta Nilbert, Mef |
author_sort | Carneiro, Ana |
collection | PubMed |
description | BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a genetically complex tumor type and a major cause of cancer related mortality. Although distinct genetic alterations have been linked to ESCC development and prognosis, the genetic alterations have not gained clinical applicability. We applied array-based comparative genomic hybridization (aCGH) to obtain a whole genome copy number profile relevant for identifying deranged pathways and clinically applicable markers. METHODS: A 32 k aCGH platform was used for high resolution mapping of copy number changes in 30 stage I-IV ESCC. Potential interdependent alterations and deranged pathways were identified and copy number changes were correlated to stage, differentiation and survival. RESULTS: Copy number alterations affected median 19% of the genome and included recurrent gains of chromosome regions 5p, 7p, 7q, 8q, 10q, 11q, 12p, 14q, 16p, 17p, 19p, 19q, and 20q and losses of 3p, 5q, 8p, 9p and 11q. High-level amplifications were observed in 30 regions and recurrently involved 7p11 (EGFR), 11q13 (MYEOV, CCND1, FGF4, FGF3, PPFIA, FAD, TMEM16A, CTTS and SHANK2) and 11q22 (PDFG). Gain of 7p22.3 predicted nodal metastases and gains of 1p36.32 and 19p13.3 independently predicted poor survival in multivariate analysis. CONCLUSION: aCGH profiling verified genetic complexity in ESCC and herein identified imbalances of multiple central tumorigenic pathways. Distinct gains correlate with clinicopathological variables and independently predict survival, suggesting clinical applicability of genomic profiling in ESCC. |
format | Text |
id | pubmed-2374796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23747962008-05-09 Prognostic Impact of Array-based Genomic Profiles in Esophageal Squamous Cell Cancer Carneiro, Ana Isinger, Anna Karlsson, Anna Johansson, Jan Jönsson, Göran Bendahl, Pär-Ola Falkenback, Dan Halvarsson, Britta Nilbert, Mef BMC Cancer Research Article BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a genetically complex tumor type and a major cause of cancer related mortality. Although distinct genetic alterations have been linked to ESCC development and prognosis, the genetic alterations have not gained clinical applicability. We applied array-based comparative genomic hybridization (aCGH) to obtain a whole genome copy number profile relevant for identifying deranged pathways and clinically applicable markers. METHODS: A 32 k aCGH platform was used for high resolution mapping of copy number changes in 30 stage I-IV ESCC. Potential interdependent alterations and deranged pathways were identified and copy number changes were correlated to stage, differentiation and survival. RESULTS: Copy number alterations affected median 19% of the genome and included recurrent gains of chromosome regions 5p, 7p, 7q, 8q, 10q, 11q, 12p, 14q, 16p, 17p, 19p, 19q, and 20q and losses of 3p, 5q, 8p, 9p and 11q. High-level amplifications were observed in 30 regions and recurrently involved 7p11 (EGFR), 11q13 (MYEOV, CCND1, FGF4, FGF3, PPFIA, FAD, TMEM16A, CTTS and SHANK2) and 11q22 (PDFG). Gain of 7p22.3 predicted nodal metastases and gains of 1p36.32 and 19p13.3 independently predicted poor survival in multivariate analysis. CONCLUSION: aCGH profiling verified genetic complexity in ESCC and herein identified imbalances of multiple central tumorigenic pathways. Distinct gains correlate with clinicopathological variables and independently predict survival, suggesting clinical applicability of genomic profiling in ESCC. BioMed Central 2008-04-11 /pmc/articles/PMC2374796/ /pubmed/18405350 http://dx.doi.org/10.1186/1471-2407-8-98 Text en Copyright © 2008 Carneiro et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Carneiro, Ana Isinger, Anna Karlsson, Anna Johansson, Jan Jönsson, Göran Bendahl, Pär-Ola Falkenback, Dan Halvarsson, Britta Nilbert, Mef Prognostic Impact of Array-based Genomic Profiles in Esophageal Squamous Cell Cancer |
title | Prognostic Impact of Array-based Genomic Profiles in Esophageal Squamous Cell Cancer |
title_full | Prognostic Impact of Array-based Genomic Profiles in Esophageal Squamous Cell Cancer |
title_fullStr | Prognostic Impact of Array-based Genomic Profiles in Esophageal Squamous Cell Cancer |
title_full_unstemmed | Prognostic Impact of Array-based Genomic Profiles in Esophageal Squamous Cell Cancer |
title_short | Prognostic Impact of Array-based Genomic Profiles in Esophageal Squamous Cell Cancer |
title_sort | prognostic impact of array-based genomic profiles in esophageal squamous cell cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2374796/ https://www.ncbi.nlm.nih.gov/pubmed/18405350 http://dx.doi.org/10.1186/1471-2407-8-98 |
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