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Identification of novel mutations in FFPE lung adenocarcinomas using DEPArray sorting technology and next-generation sequencing

Formalin-fixed paraffin-embedded (FFPE) tissues are utilized as the standard diagnostic method in pathology laboratories. However, admixture of unwanted tissues and shortage of normal samples, which can be used to detect somatic mutation, are considered critical factors to accurately diagnose cancer...

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Autores principales: Lee, Ji Won, Shin, Jong-Yeon, Seo, Jeong-Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6060994/
https://www.ncbi.nlm.nih.gov/pubmed/29525983
http://dx.doi.org/10.1007/s13353-018-0439-4
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author Lee, Ji Won
Shin, Jong-Yeon
Seo, Jeong-Sun
author_facet Lee, Ji Won
Shin, Jong-Yeon
Seo, Jeong-Sun
author_sort Lee, Ji Won
collection PubMed
description Formalin-fixed paraffin-embedded (FFPE) tissues are utilized as the standard diagnostic method in pathology laboratories. However, admixture of unwanted tissues and shortage of normal samples, which can be used to detect somatic mutation, are considered critical factors to accurately diagnose cancer. To explore these challenges, we sorted the pure tumor cells from 22 FFPE lung adenocarcinoma tissues via Di-Electro-Phoretic Array (DEPArray) technology, a new cell sorting technology, and analyzed the variants with next-generation sequencing (NGS) for the most accurate analysis. The allele frequencies of the all gene mutations were improved by 1.2 times in cells sorted via DEPArray (tumor suppressor genes, 1.3–10.1 times; oncogenes, 1.3–2.6 times). We identified 16 novel mutations using the sequencing from sorted cells via DEPArray technology, compared to detecting 4 novel mutation by the sequencing from unsorted cells. Using this analysis, we also revealed that five genes (TP53, EGFR, PTEN, RB1, KRAS, and CTNNB1) were somatically mutated in multiple homogeneous lung adenocarcinomas. Together, we sorted pure tumor cells from 22 FFPE lung adenocarcinomas by DEPArray technology and identified 16 novel somatic mutations. We also established the precise genomic landscape for more accurate diagnosis in 22 lung adenocarcinomas with mutations detected in pure tumor cells. The results obtained in this study could offer new avenues for the treatment and the diagnosis of squamous cell lung cancers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13353-018-0439-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-60609942018-08-09 Identification of novel mutations in FFPE lung adenocarcinomas using DEPArray sorting technology and next-generation sequencing Lee, Ji Won Shin, Jong-Yeon Seo, Jeong-Sun J Appl Genet Human Genetics • Original Paper Formalin-fixed paraffin-embedded (FFPE) tissues are utilized as the standard diagnostic method in pathology laboratories. However, admixture of unwanted tissues and shortage of normal samples, which can be used to detect somatic mutation, are considered critical factors to accurately diagnose cancer. To explore these challenges, we sorted the pure tumor cells from 22 FFPE lung adenocarcinoma tissues via Di-Electro-Phoretic Array (DEPArray) technology, a new cell sorting technology, and analyzed the variants with next-generation sequencing (NGS) for the most accurate analysis. The allele frequencies of the all gene mutations were improved by 1.2 times in cells sorted via DEPArray (tumor suppressor genes, 1.3–10.1 times; oncogenes, 1.3–2.6 times). We identified 16 novel mutations using the sequencing from sorted cells via DEPArray technology, compared to detecting 4 novel mutation by the sequencing from unsorted cells. Using this analysis, we also revealed that five genes (TP53, EGFR, PTEN, RB1, KRAS, and CTNNB1) were somatically mutated in multiple homogeneous lung adenocarcinomas. Together, we sorted pure tumor cells from 22 FFPE lung adenocarcinomas by DEPArray technology and identified 16 novel somatic mutations. We also established the precise genomic landscape for more accurate diagnosis in 22 lung adenocarcinomas with mutations detected in pure tumor cells. The results obtained in this study could offer new avenues for the treatment and the diagnosis of squamous cell lung cancers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13353-018-0439-4) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-03-10 2018 /pmc/articles/PMC6060994/ /pubmed/29525983 http://dx.doi.org/10.1007/s13353-018-0439-4 Text en © The Author(s) 2018, corrected publication April 2018 Open Access This 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.
spellingShingle Human Genetics • Original Paper
Lee, Ji Won
Shin, Jong-Yeon
Seo, Jeong-Sun
Identification of novel mutations in FFPE lung adenocarcinomas using DEPArray sorting technology and next-generation sequencing
title Identification of novel mutations in FFPE lung adenocarcinomas using DEPArray sorting technology and next-generation sequencing
title_full Identification of novel mutations in FFPE lung adenocarcinomas using DEPArray sorting technology and next-generation sequencing
title_fullStr Identification of novel mutations in FFPE lung adenocarcinomas using DEPArray sorting technology and next-generation sequencing
title_full_unstemmed Identification of novel mutations in FFPE lung adenocarcinomas using DEPArray sorting technology and next-generation sequencing
title_short Identification of novel mutations in FFPE lung adenocarcinomas using DEPArray sorting technology and next-generation sequencing
title_sort identification of novel mutations in ffpe lung adenocarcinomas using deparray sorting technology and next-generation sequencing
topic Human Genetics • Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6060994/
https://www.ncbi.nlm.nih.gov/pubmed/29525983
http://dx.doi.org/10.1007/s13353-018-0439-4
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