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Validation of Customized Cancer Panel for Detecting Somatic Mutations and Copy Number Alterations

Accurate detection of genomic alterations, especially druggable hotspot mutations in tumors, has become an essential part of precision medicine. With targeted sequencing, we can obtain deeper coverage of reads and handle data more easily with a relatively lower cost and less time than whole-exome or...

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Autores principales: Choi, Su-Hye, Jung, Seung-Hyun, Chung, Yeun-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Gastrointestinal Intervention 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5769856/
https://www.ncbi.nlm.nih.gov/pubmed/29307139
http://dx.doi.org/10.5808/GI.2017.15.4.136
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author Choi, Su-Hye
Jung, Seung-Hyun
Chung, Yeun-Jun
author_facet Choi, Su-Hye
Jung, Seung-Hyun
Chung, Yeun-Jun
author_sort Choi, Su-Hye
collection PubMed
description Accurate detection of genomic alterations, especially druggable hotspot mutations in tumors, has become an essential part of precision medicine. With targeted sequencing, we can obtain deeper coverage of reads and handle data more easily with a relatively lower cost and less time than whole-exome or whole-genome sequencing. Recently, we designed a customized gene panel for targeted sequencing of major solid cancers. In this study, we aimed to validate its performance. The cancer panel targets 95 cancer-related genes. In terms of the limit of detection, more than 86% of target mutations with a mutant allele frequency (MAF) <1% can be identified, and any mutation with >3% MAF can be detected. When we applied this system for the analysis of Acrometrix Oncology Hotspot Control DNA, which contains more than 500 COSMIC mutations across 53 genes, 99% of the expected mutations were robustly detected. We also confirmed the high reproducibility of the detection of mutations in multiple independent analyses. When we explored copy number alterations (CNAs), the expected CNAs were successfully detected, and this result was confirmed by target-specific genomic quantitative polymerase chain reaction. Taken together, these results support the reliability and accuracy of our cancer panel in detecting mutations. This panel could be useful for key mutation profiling research in solid tumors and clinical translation.
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spelling pubmed-57698562018-01-19 Validation of Customized Cancer Panel for Detecting Somatic Mutations and Copy Number Alterations Choi, Su-Hye Jung, Seung-Hyun Chung, Yeun-Jun Genomics Inform Original Article Accurate detection of genomic alterations, especially druggable hotspot mutations in tumors, has become an essential part of precision medicine. With targeted sequencing, we can obtain deeper coverage of reads and handle data more easily with a relatively lower cost and less time than whole-exome or whole-genome sequencing. Recently, we designed a customized gene panel for targeted sequencing of major solid cancers. In this study, we aimed to validate its performance. The cancer panel targets 95 cancer-related genes. In terms of the limit of detection, more than 86% of target mutations with a mutant allele frequency (MAF) <1% can be identified, and any mutation with >3% MAF can be detected. When we applied this system for the analysis of Acrometrix Oncology Hotspot Control DNA, which contains more than 500 COSMIC mutations across 53 genes, 99% of the expected mutations were robustly detected. We also confirmed the high reproducibility of the detection of mutations in multiple independent analyses. When we explored copy number alterations (CNAs), the expected CNAs were successfully detected, and this result was confirmed by target-specific genomic quantitative polymerase chain reaction. Taken together, these results support the reliability and accuracy of our cancer panel in detecting mutations. This panel could be useful for key mutation profiling research in solid tumors and clinical translation. Society of Gastrointestinal Intervention 2017-12 2017-12-29 /pmc/articles/PMC5769856/ /pubmed/29307139 http://dx.doi.org/10.5808/GI.2017.15.4.136 Text en Copyright © 2017 by the Korea Genome Organization It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/).
spellingShingle Original Article
Choi, Su-Hye
Jung, Seung-Hyun
Chung, Yeun-Jun
Validation of Customized Cancer Panel for Detecting Somatic Mutations and Copy Number Alterations
title Validation of Customized Cancer Panel for Detecting Somatic Mutations and Copy Number Alterations
title_full Validation of Customized Cancer Panel for Detecting Somatic Mutations and Copy Number Alterations
title_fullStr Validation of Customized Cancer Panel for Detecting Somatic Mutations and Copy Number Alterations
title_full_unstemmed Validation of Customized Cancer Panel for Detecting Somatic Mutations and Copy Number Alterations
title_short Validation of Customized Cancer Panel for Detecting Somatic Mutations and Copy Number Alterations
title_sort validation of customized cancer panel for detecting somatic mutations and copy number alterations
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5769856/
https://www.ncbi.nlm.nih.gov/pubmed/29307139
http://dx.doi.org/10.5808/GI.2017.15.4.136
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