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Copy number alterations detected by whole-exome and whole-genome sequencing of esophageal adenocarcinoma

BACKGROUND: Esophageal adenocarcinoma (EA) is among the leading causes of cancer mortality, especially in developed countries. A high level of somatic copy number alterations (CNAs) accumulates over the decades in the progression from Barrett’s esophagus, the precursor lesion, to EA. Accurate identi...

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Autores principales: Wang, Xiaoyu, Li, Xiaohong, Cheng, Yichen, Sun, Xin, Sun, Xibin, Self, Steve, Kooperberg, Charles, Dai, James Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570720/
https://www.ncbi.nlm.nih.gov/pubmed/26374103
http://dx.doi.org/10.1186/s40246-015-0044-0
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author Wang, Xiaoyu
Li, Xiaohong
Cheng, Yichen
Sun, Xin
Sun, Xibin
Self, Steve
Kooperberg, Charles
Dai, James Y.
author_facet Wang, Xiaoyu
Li, Xiaohong
Cheng, Yichen
Sun, Xin
Sun, Xibin
Self, Steve
Kooperberg, Charles
Dai, James Y.
author_sort Wang, Xiaoyu
collection PubMed
description BACKGROUND: Esophageal adenocarcinoma (EA) is among the leading causes of cancer mortality, especially in developed countries. A high level of somatic copy number alterations (CNAs) accumulates over the decades in the progression from Barrett’s esophagus, the precursor lesion, to EA. Accurate identification of somatic CNAs is essential to understand cancer development. Many studies have been conducted for the detection of CNA in EA using microarrays. Next-generation sequencing (NGS) technologies are believed to have advantages in sensitivity and accuracy to detect CNA, yet no NGS-based CNA detection in EA has been reported. RESULTS: In this study, we analyzed whole-exome (WES) and whole-genome sequencing (WGS) data for detecting CNA from a published large-scale genomic study of EA. Two specific comparisons were conducted. First, the recurrent CNAs based on WGS and WES data from 145 EA samples were compared to those found in five previous microarray-based studies. We found that the majority of the previously identified regions were also detected in this study. Interestingly, some novel amplifications and deletions were discovered using the NGS data. In particular, SKI and PRKCZ detected in a deletion region are involved in transforming growth factor-β pathway, suggesting the potential utility of novel biomarkers for EA. Second, we compared CNAs detected in WGS and WES data from the same 15 EA samples. No large-scale CNA was identified statistically more frequently by WES or WGS, while more focal-scale CNAs were detected by WGS than by WES. CONCLUSIONS: Our results suggest that NGS can replace microarrays to detect CNA in EA. WGS is superior to WES in that it can offer finer resolution for the detection, though if the interest is on recurrent CNAs, WES can be preferable to WGS for its cost-effectiveness. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40246-015-0044-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-45707202015-09-16 Copy number alterations detected by whole-exome and whole-genome sequencing of esophageal adenocarcinoma Wang, Xiaoyu Li, Xiaohong Cheng, Yichen Sun, Xin Sun, Xibin Self, Steve Kooperberg, Charles Dai, James Y. Hum Genomics Primary Research BACKGROUND: Esophageal adenocarcinoma (EA) is among the leading causes of cancer mortality, especially in developed countries. A high level of somatic copy number alterations (CNAs) accumulates over the decades in the progression from Barrett’s esophagus, the precursor lesion, to EA. Accurate identification of somatic CNAs is essential to understand cancer development. Many studies have been conducted for the detection of CNA in EA using microarrays. Next-generation sequencing (NGS) technologies are believed to have advantages in sensitivity and accuracy to detect CNA, yet no NGS-based CNA detection in EA has been reported. RESULTS: In this study, we analyzed whole-exome (WES) and whole-genome sequencing (WGS) data for detecting CNA from a published large-scale genomic study of EA. Two specific comparisons were conducted. First, the recurrent CNAs based on WGS and WES data from 145 EA samples were compared to those found in five previous microarray-based studies. We found that the majority of the previously identified regions were also detected in this study. Interestingly, some novel amplifications and deletions were discovered using the NGS data. In particular, SKI and PRKCZ detected in a deletion region are involved in transforming growth factor-β pathway, suggesting the potential utility of novel biomarkers for EA. Second, we compared CNAs detected in WGS and WES data from the same 15 EA samples. No large-scale CNA was identified statistically more frequently by WES or WGS, while more focal-scale CNAs were detected by WGS than by WES. CONCLUSIONS: Our results suggest that NGS can replace microarrays to detect CNA in EA. WGS is superior to WES in that it can offer finer resolution for the detection, though if the interest is on recurrent CNAs, WES can be preferable to WGS for its cost-effectiveness. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40246-015-0044-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-09-15 /pmc/articles/PMC4570720/ /pubmed/26374103 http://dx.doi.org/10.1186/s40246-015-0044-0 Text en © Wang et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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 Primary Research
Wang, Xiaoyu
Li, Xiaohong
Cheng, Yichen
Sun, Xin
Sun, Xibin
Self, Steve
Kooperberg, Charles
Dai, James Y.
Copy number alterations detected by whole-exome and whole-genome sequencing of esophageal adenocarcinoma
title Copy number alterations detected by whole-exome and whole-genome sequencing of esophageal adenocarcinoma
title_full Copy number alterations detected by whole-exome and whole-genome sequencing of esophageal adenocarcinoma
title_fullStr Copy number alterations detected by whole-exome and whole-genome sequencing of esophageal adenocarcinoma
title_full_unstemmed Copy number alterations detected by whole-exome and whole-genome sequencing of esophageal adenocarcinoma
title_short Copy number alterations detected by whole-exome and whole-genome sequencing of esophageal adenocarcinoma
title_sort copy number alterations detected by whole-exome and whole-genome sequencing of esophageal adenocarcinoma
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570720/
https://www.ncbi.nlm.nih.gov/pubmed/26374103
http://dx.doi.org/10.1186/s40246-015-0044-0
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