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Retrospective review using targeted deep sequencing reveals mutational differences between gastroesophageal junction and gastric carcinomas

BACKGROUND: Adenocarcinomas of both the gastroesophageal junction and stomach are molecularly complex, but differ with respect to epidemiology, etiology and survival. There are few data directly comparing the frequencies of single nucleotide mutations in cancer-related genes between the two sites. S...

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Autores principales: Li-Chang, Hector H, Kasaian, Katayoon, Ng, Ying, Lum, Amy, Kong, Esther, Lim, Howard, Jones, Steven JM, Huntsman, David G, Schaeffer, David F, Yip, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4322811/
https://www.ncbi.nlm.nih.gov/pubmed/25656989
http://dx.doi.org/10.1186/s12885-015-1021-7
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author Li-Chang, Hector H
Kasaian, Katayoon
Ng, Ying
Lum, Amy
Kong, Esther
Lim, Howard
Jones, Steven JM
Huntsman, David G
Schaeffer, David F
Yip, Stephen
author_facet Li-Chang, Hector H
Kasaian, Katayoon
Ng, Ying
Lum, Amy
Kong, Esther
Lim, Howard
Jones, Steven JM
Huntsman, David G
Schaeffer, David F
Yip, Stephen
author_sort Li-Chang, Hector H
collection PubMed
description BACKGROUND: Adenocarcinomas of both the gastroesophageal junction and stomach are molecularly complex, but differ with respect to epidemiology, etiology and survival. There are few data directly comparing the frequencies of single nucleotide mutations in cancer-related genes between the two sites. Sequencing of targeted gene panels may be useful in uncovering multiple genomic aberrations using a single test. METHODS: DNA from 92 gastroesophageal junction and 75 gastric adenocarcinoma resection specimens was extracted from formalin-fixed paraffin-embedded tissue. Targeted deep sequencing of 46 cancer-related genes was performed through emulsion PCR followed by semiconductor-based sequencing. Gastroesophageal junction and gastric carcinomas were contrasted with respect to mutational profiles, immunohistochemistry and in situ hybridization, as well as corresponding clinicopathologic data. RESULTS: Gastroesophageal junction carcinomas were associated with younger age, more frequent intestinal-type histology, more frequent p53 overexpression, and worse disease-free survival on multivariable analysis. Among all cases, 145 mutations were detected in 31 genes. TP53 mutations were the most common abnormality detected, and were more common in gastroesophageal junction carcinomas (42% vs. 27%, p = 0.036). Mutations in the Wnt pathway components APC and CTNNB1 were more common among gastric carcinomas (16% vs. 3%, p = 0.006), and gastric carcinomas were more likely to have ≥3 driver mutations detected (11% vs. 2%, p = 0.044). Twenty percent of cases had potentially actionable mutations identified. R132H and R132C missense mutations in the IDH1 gene were observed, and are the first reported mutations of their kind in gastric carcinoma. CONCLUSIONS: Panel sequencing of routine pathology material can yield mutational information on several driver genes, including some for which targeted therapies are available. Differing rates of mutations and clinicopathologic differences support a distinction between adenocarcinomas that arise in the gastroesophageal junction and those that arise in the stomach proper. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-015-1021-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-43228112015-02-11 Retrospective review using targeted deep sequencing reveals mutational differences between gastroesophageal junction and gastric carcinomas Li-Chang, Hector H Kasaian, Katayoon Ng, Ying Lum, Amy Kong, Esther Lim, Howard Jones, Steven JM Huntsman, David G Schaeffer, David F Yip, Stephen BMC Cancer Research Article BACKGROUND: Adenocarcinomas of both the gastroesophageal junction and stomach are molecularly complex, but differ with respect to epidemiology, etiology and survival. There are few data directly comparing the frequencies of single nucleotide mutations in cancer-related genes between the two sites. Sequencing of targeted gene panels may be useful in uncovering multiple genomic aberrations using a single test. METHODS: DNA from 92 gastroesophageal junction and 75 gastric adenocarcinoma resection specimens was extracted from formalin-fixed paraffin-embedded tissue. Targeted deep sequencing of 46 cancer-related genes was performed through emulsion PCR followed by semiconductor-based sequencing. Gastroesophageal junction and gastric carcinomas were contrasted with respect to mutational profiles, immunohistochemistry and in situ hybridization, as well as corresponding clinicopathologic data. RESULTS: Gastroesophageal junction carcinomas were associated with younger age, more frequent intestinal-type histology, more frequent p53 overexpression, and worse disease-free survival on multivariable analysis. Among all cases, 145 mutations were detected in 31 genes. TP53 mutations were the most common abnormality detected, and were more common in gastroesophageal junction carcinomas (42% vs. 27%, p = 0.036). Mutations in the Wnt pathway components APC and CTNNB1 were more common among gastric carcinomas (16% vs. 3%, p = 0.006), and gastric carcinomas were more likely to have ≥3 driver mutations detected (11% vs. 2%, p = 0.044). Twenty percent of cases had potentially actionable mutations identified. R132H and R132C missense mutations in the IDH1 gene were observed, and are the first reported mutations of their kind in gastric carcinoma. CONCLUSIONS: Panel sequencing of routine pathology material can yield mutational information on several driver genes, including some for which targeted therapies are available. Differing rates of mutations and clinicopathologic differences support a distinction between adenocarcinomas that arise in the gastroesophageal junction and those that arise in the stomach proper. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-015-1021-7) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-06 /pmc/articles/PMC4322811/ /pubmed/25656989 http://dx.doi.org/10.1186/s12885-015-1021-7 Text en © Li-Chang et al.; licensee BioMed Central. 2015 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Li-Chang, Hector H
Kasaian, Katayoon
Ng, Ying
Lum, Amy
Kong, Esther
Lim, Howard
Jones, Steven JM
Huntsman, David G
Schaeffer, David F
Yip, Stephen
Retrospective review using targeted deep sequencing reveals mutational differences between gastroesophageal junction and gastric carcinomas
title Retrospective review using targeted deep sequencing reveals mutational differences between gastroesophageal junction and gastric carcinomas
title_full Retrospective review using targeted deep sequencing reveals mutational differences between gastroesophageal junction and gastric carcinomas
title_fullStr Retrospective review using targeted deep sequencing reveals mutational differences between gastroesophageal junction and gastric carcinomas
title_full_unstemmed Retrospective review using targeted deep sequencing reveals mutational differences between gastroesophageal junction and gastric carcinomas
title_short Retrospective review using targeted deep sequencing reveals mutational differences between gastroesophageal junction and gastric carcinomas
title_sort retrospective review using targeted deep sequencing reveals mutational differences between gastroesophageal junction and gastric carcinomas
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4322811/
https://www.ncbi.nlm.nih.gov/pubmed/25656989
http://dx.doi.org/10.1186/s12885-015-1021-7
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