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A targeted next-generation sequencing method for identifying clinically relevant mutation profiles in lung adenocarcinoma

Molecular profiling of lung cancer has become essential for prediction of an individual’s response to targeted therapies. Next-generation sequencing (NGS) is a promising technique for routine diagnostics, but has not been sufficiently evaluated in terms of feasibility, reliability, cost and capacity...

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Autores principales: Shao, Di, Lin, Yongping, Liu, Jilong, Wan, Liang, Liu, Zu, Cheng, Shaomin, Fei, Lingna, Deng, Rongqing, Wang, Jian, Chen, Xi, Liu, Liping, Gu, Xia, Liang, Wenhua, He, Ping, Wang, Jun, Ye, Mingzhi, He, Jianxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4776238/
https://www.ncbi.nlm.nih.gov/pubmed/26936516
http://dx.doi.org/10.1038/srep22338
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author Shao, Di
Lin, Yongping
Liu, Jilong
Wan, Liang
Liu, Zu
Cheng, Shaomin
Fei, Lingna
Deng, Rongqing
Wang, Jian
Chen, Xi
Liu, Liping
Gu, Xia
Liang, Wenhua
He, Ping
Wang, Jun
Ye, Mingzhi
He, Jianxing
author_facet Shao, Di
Lin, Yongping
Liu, Jilong
Wan, Liang
Liu, Zu
Cheng, Shaomin
Fei, Lingna
Deng, Rongqing
Wang, Jian
Chen, Xi
Liu, Liping
Gu, Xia
Liang, Wenhua
He, Ping
Wang, Jun
Ye, Mingzhi
He, Jianxing
author_sort Shao, Di
collection PubMed
description Molecular profiling of lung cancer has become essential for prediction of an individual’s response to targeted therapies. Next-generation sequencing (NGS) is a promising technique for routine diagnostics, but has not been sufficiently evaluated in terms of feasibility, reliability, cost and capacity with routine diagnostic formalin-fixed, paraffin-embedded (FFPE) materials. Here, we report the validation and application of a test based on Ion Proton technology for the rapid characterisation of single nucleotide variations (SNVs), short insertions and deletions (InDels), copy number variations (CNVs), and gene rearrangements in 145 genes with FFPE clinical specimens. The validation study, using 61 previously profiled clinical tumour samples, showed a concordance rate of 100% between results obtained by NGS and conventional test platforms. Analysis of tumour cell lines indicated reliable mutation detection in samples with 5% tumour content. Furthermore, application of the panel to 58 clinical cases, identified at least one actionable mutation in 43 cases, 1.4 times the number of actionable alterations detected by current diagnostic tests. We demonstrated that targeted NGS is a cost-effective and rapid platform to detect multiple mutations simultaneously in various genes with high reproducibility and sensitivity.
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spelling pubmed-47762382016-03-09 A targeted next-generation sequencing method for identifying clinically relevant mutation profiles in lung adenocarcinoma Shao, Di Lin, Yongping Liu, Jilong Wan, Liang Liu, Zu Cheng, Shaomin Fei, Lingna Deng, Rongqing Wang, Jian Chen, Xi Liu, Liping Gu, Xia Liang, Wenhua He, Ping Wang, Jun Ye, Mingzhi He, Jianxing Sci Rep Article Molecular profiling of lung cancer has become essential for prediction of an individual’s response to targeted therapies. Next-generation sequencing (NGS) is a promising technique for routine diagnostics, but has not been sufficiently evaluated in terms of feasibility, reliability, cost and capacity with routine diagnostic formalin-fixed, paraffin-embedded (FFPE) materials. Here, we report the validation and application of a test based on Ion Proton technology for the rapid characterisation of single nucleotide variations (SNVs), short insertions and deletions (InDels), copy number variations (CNVs), and gene rearrangements in 145 genes with FFPE clinical specimens. The validation study, using 61 previously profiled clinical tumour samples, showed a concordance rate of 100% between results obtained by NGS and conventional test platforms. Analysis of tumour cell lines indicated reliable mutation detection in samples with 5% tumour content. Furthermore, application of the panel to 58 clinical cases, identified at least one actionable mutation in 43 cases, 1.4 times the number of actionable alterations detected by current diagnostic tests. We demonstrated that targeted NGS is a cost-effective and rapid platform to detect multiple mutations simultaneously in various genes with high reproducibility and sensitivity. Nature Publishing Group 2016-03-03 /pmc/articles/PMC4776238/ /pubmed/26936516 http://dx.doi.org/10.1038/srep22338 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Shao, Di
Lin, Yongping
Liu, Jilong
Wan, Liang
Liu, Zu
Cheng, Shaomin
Fei, Lingna
Deng, Rongqing
Wang, Jian
Chen, Xi
Liu, Liping
Gu, Xia
Liang, Wenhua
He, Ping
Wang, Jun
Ye, Mingzhi
He, Jianxing
A targeted next-generation sequencing method for identifying clinically relevant mutation profiles in lung adenocarcinoma
title A targeted next-generation sequencing method for identifying clinically relevant mutation profiles in lung adenocarcinoma
title_full A targeted next-generation sequencing method for identifying clinically relevant mutation profiles in lung adenocarcinoma
title_fullStr A targeted next-generation sequencing method for identifying clinically relevant mutation profiles in lung adenocarcinoma
title_full_unstemmed A targeted next-generation sequencing method for identifying clinically relevant mutation profiles in lung adenocarcinoma
title_short A targeted next-generation sequencing method for identifying clinically relevant mutation profiles in lung adenocarcinoma
title_sort targeted next-generation sequencing method for identifying clinically relevant mutation profiles in lung adenocarcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4776238/
https://www.ncbi.nlm.nih.gov/pubmed/26936516
http://dx.doi.org/10.1038/srep22338
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