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Comprehensive detection of germline variants by MSK-IMPACT, a clinical diagnostic platform for solid tumor molecular oncology and concurrent cancer predisposition testing

BACKGROUND: The growing number of Next Generation Sequencing (NGS) tests is transforming the routine clinical diagnosis of hereditary cancers. Identifying whether a cancer is the result of an underlying disease-causing mutation in a cancer predisposition gene is not only diagnostic for a cancer pred...

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Autores principales: Cheng, Donavan T., Prasad, Meera, Chekaluk, Yvonne, Benayed, Ryma, Sadowska, Justyna, Zehir, Ahmet, Syed, Aijazuddin, Wang, Yan Elsa, Somar, Joshua, Li, Yirong, Yelskaya, Zarina, Wong, Donna, Robson, Mark E., Offit, Kenneth, Berger, Michael F., Nafa, Khedoudja, Ladanyi, Marc, Zhang, Liying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437632/
https://www.ncbi.nlm.nih.gov/pubmed/28526081
http://dx.doi.org/10.1186/s12920-017-0271-4
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author Cheng, Donavan T.
Prasad, Meera
Chekaluk, Yvonne
Benayed, Ryma
Sadowska, Justyna
Zehir, Ahmet
Syed, Aijazuddin
Wang, Yan Elsa
Somar, Joshua
Li, Yirong
Yelskaya, Zarina
Wong, Donna
Robson, Mark E.
Offit, Kenneth
Berger, Michael F.
Nafa, Khedoudja
Ladanyi, Marc
Zhang, Liying
author_facet Cheng, Donavan T.
Prasad, Meera
Chekaluk, Yvonne
Benayed, Ryma
Sadowska, Justyna
Zehir, Ahmet
Syed, Aijazuddin
Wang, Yan Elsa
Somar, Joshua
Li, Yirong
Yelskaya, Zarina
Wong, Donna
Robson, Mark E.
Offit, Kenneth
Berger, Michael F.
Nafa, Khedoudja
Ladanyi, Marc
Zhang, Liying
author_sort Cheng, Donavan T.
collection PubMed
description BACKGROUND: The growing number of Next Generation Sequencing (NGS) tests is transforming the routine clinical diagnosis of hereditary cancers. Identifying whether a cancer is the result of an underlying disease-causing mutation in a cancer predisposition gene is not only diagnostic for a cancer predisposition syndrome, but also has significant clinical implications in the clinical management of patients and their families. METHODS: Here, we evaluated the performance of MSK-IMPACT (Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets) in detecting genetic alterations in 76 genes implicated in cancer predisposition syndromes. Output from hybridization-based capture was sequenced on an Illumina HiSeq 2500. A custom analysis pipeline was used to detect single nucleotide variants (SNVs), small insertions/deletions (indels) and copy number variants (CNVs). RESULTS: MSK-IMPACT detected all germline variants in a set of 233 unique patient DNA samples, previously confirmed by previous single gene testing. Reproducibility of variant calls was demonstrated using inter- and intra- run replicates. Moreover, in 16 samples, we identified additional pathogenic mutations other than those previously identified through a traditional gene-by-gene approach, including founder mutations in BRCA1, BRCA2, CHEK2 and APC, and truncating mutations in TP53, TSC2, ATM and VHL. CONCLUSIONS: This study highlights the importance of the NGS-based gene panel testing approach in comprehensively identifying germline variants contributing to cancer predisposition and simultaneous detection of somatic and germline alterations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-017-0271-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-54376322017-05-22 Comprehensive detection of germline variants by MSK-IMPACT, a clinical diagnostic platform for solid tumor molecular oncology and concurrent cancer predisposition testing Cheng, Donavan T. Prasad, Meera Chekaluk, Yvonne Benayed, Ryma Sadowska, Justyna Zehir, Ahmet Syed, Aijazuddin Wang, Yan Elsa Somar, Joshua Li, Yirong Yelskaya, Zarina Wong, Donna Robson, Mark E. Offit, Kenneth Berger, Michael F. Nafa, Khedoudja Ladanyi, Marc Zhang, Liying BMC Med Genomics Technical Advance BACKGROUND: The growing number of Next Generation Sequencing (NGS) tests is transforming the routine clinical diagnosis of hereditary cancers. Identifying whether a cancer is the result of an underlying disease-causing mutation in a cancer predisposition gene is not only diagnostic for a cancer predisposition syndrome, but also has significant clinical implications in the clinical management of patients and their families. METHODS: Here, we evaluated the performance of MSK-IMPACT (Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets) in detecting genetic alterations in 76 genes implicated in cancer predisposition syndromes. Output from hybridization-based capture was sequenced on an Illumina HiSeq 2500. A custom analysis pipeline was used to detect single nucleotide variants (SNVs), small insertions/deletions (indels) and copy number variants (CNVs). RESULTS: MSK-IMPACT detected all germline variants in a set of 233 unique patient DNA samples, previously confirmed by previous single gene testing. Reproducibility of variant calls was demonstrated using inter- and intra- run replicates. Moreover, in 16 samples, we identified additional pathogenic mutations other than those previously identified through a traditional gene-by-gene approach, including founder mutations in BRCA1, BRCA2, CHEK2 and APC, and truncating mutations in TP53, TSC2, ATM and VHL. CONCLUSIONS: This study highlights the importance of the NGS-based gene panel testing approach in comprehensively identifying germline variants contributing to cancer predisposition and simultaneous detection of somatic and germline alterations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-017-0271-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-19 /pmc/articles/PMC5437632/ /pubmed/28526081 http://dx.doi.org/10.1186/s12920-017-0271-4 Text en © The Author(s). 2017 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 Technical Advance
Cheng, Donavan T.
Prasad, Meera
Chekaluk, Yvonne
Benayed, Ryma
Sadowska, Justyna
Zehir, Ahmet
Syed, Aijazuddin
Wang, Yan Elsa
Somar, Joshua
Li, Yirong
Yelskaya, Zarina
Wong, Donna
Robson, Mark E.
Offit, Kenneth
Berger, Michael F.
Nafa, Khedoudja
Ladanyi, Marc
Zhang, Liying
Comprehensive detection of germline variants by MSK-IMPACT, a clinical diagnostic platform for solid tumor molecular oncology and concurrent cancer predisposition testing
title Comprehensive detection of germline variants by MSK-IMPACT, a clinical diagnostic platform for solid tumor molecular oncology and concurrent cancer predisposition testing
title_full Comprehensive detection of germline variants by MSK-IMPACT, a clinical diagnostic platform for solid tumor molecular oncology and concurrent cancer predisposition testing
title_fullStr Comprehensive detection of germline variants by MSK-IMPACT, a clinical diagnostic platform for solid tumor molecular oncology and concurrent cancer predisposition testing
title_full_unstemmed Comprehensive detection of germline variants by MSK-IMPACT, a clinical diagnostic platform for solid tumor molecular oncology and concurrent cancer predisposition testing
title_short Comprehensive detection of germline variants by MSK-IMPACT, a clinical diagnostic platform for solid tumor molecular oncology and concurrent cancer predisposition testing
title_sort comprehensive detection of germline variants by msk-impact, a clinical diagnostic platform for solid tumor molecular oncology and concurrent cancer predisposition testing
topic Technical Advance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437632/
https://www.ncbi.nlm.nih.gov/pubmed/28526081
http://dx.doi.org/10.1186/s12920-017-0271-4
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