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Prevalence and detection of low-allele-fraction variants in clinical cancer samples
Accurate detection of genomic alterations using high-throughput sequencing is an essential component of precision cancer medicine. We characterize the variant allele fractions (VAFs) of somatic single nucleotide variants and indels across 5095 clinical samples profiled using a custom panel, CancerSC...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680209/ https://www.ncbi.nlm.nih.gov/pubmed/29123093 http://dx.doi.org/10.1038/s41467-017-01470-y |
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author | Shin, Hyun-Tae Choi, Yoon-La Yun, Jae Won Kim, Nayoung K. D. Kim, Sook-Young Jeon, Hyo Jeong Nam, Jae-Yong Lee, Chung Ryu, Daeun Kim, Sang Cheol Park, Kyunghee Lee, Eunjin Bae, Joon Seol Son, Dae Soon Joung, Je-Gun Lee, Jeeyun Kim, Seung Tae Ahn, Myung-Ju Lee, Se-Hoon Ahn, Jin Seok Lee, Woo Yong Oh, Bo Young Park, Yeon Hee Lee, Jeong Eon Lee, Kwang Hyuk Kim, Hee Cheol Kim, Kyoung-Mee Im, Young-Hyuck Park, Keunchil Park, Peter J. Park, Woong-Yang |
author_facet | Shin, Hyun-Tae Choi, Yoon-La Yun, Jae Won Kim, Nayoung K. D. Kim, Sook-Young Jeon, Hyo Jeong Nam, Jae-Yong Lee, Chung Ryu, Daeun Kim, Sang Cheol Park, Kyunghee Lee, Eunjin Bae, Joon Seol Son, Dae Soon Joung, Je-Gun Lee, Jeeyun Kim, Seung Tae Ahn, Myung-Ju Lee, Se-Hoon Ahn, Jin Seok Lee, Woo Yong Oh, Bo Young Park, Yeon Hee Lee, Jeong Eon Lee, Kwang Hyuk Kim, Hee Cheol Kim, Kyoung-Mee Im, Young-Hyuck Park, Keunchil Park, Peter J. Park, Woong-Yang |
author_sort | Shin, Hyun-Tae |
collection | PubMed |
description | Accurate detection of genomic alterations using high-throughput sequencing is an essential component of precision cancer medicine. We characterize the variant allele fractions (VAFs) of somatic single nucleotide variants and indels across 5095 clinical samples profiled using a custom panel, CancerSCAN. Our results demonstrate that a significant fraction of clinically actionable variants have low VAFs, often due to low tumor purity and treatment-induced mutations. The percentages of mutations under 5% VAF across hotspots in EGFR, KRAS, PIK3CA, and BRAF are 16%, 11%, 12%, and 10%, respectively, with 24% for EGFR T790M and 17% for PIK3CA E545. For clinical relevance, we describe two patients for whom targeted therapy achieved remission despite low VAF mutations. We also characterize the read depths necessary to achieve sensitivity and specificity comparable to current laboratory assays. These results show that capturing low VAF mutations at hotspots by sufficient sequencing coverage and carefully tuned algorithms is imperative for a clinical assay. |
format | Online Article Text |
id | pubmed-5680209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56802092017-11-15 Prevalence and detection of low-allele-fraction variants in clinical cancer samples Shin, Hyun-Tae Choi, Yoon-La Yun, Jae Won Kim, Nayoung K. D. Kim, Sook-Young Jeon, Hyo Jeong Nam, Jae-Yong Lee, Chung Ryu, Daeun Kim, Sang Cheol Park, Kyunghee Lee, Eunjin Bae, Joon Seol Son, Dae Soon Joung, Je-Gun Lee, Jeeyun Kim, Seung Tae Ahn, Myung-Ju Lee, Se-Hoon Ahn, Jin Seok Lee, Woo Yong Oh, Bo Young Park, Yeon Hee Lee, Jeong Eon Lee, Kwang Hyuk Kim, Hee Cheol Kim, Kyoung-Mee Im, Young-Hyuck Park, Keunchil Park, Peter J. Park, Woong-Yang Nat Commun Article Accurate detection of genomic alterations using high-throughput sequencing is an essential component of precision cancer medicine. We characterize the variant allele fractions (VAFs) of somatic single nucleotide variants and indels across 5095 clinical samples profiled using a custom panel, CancerSCAN. Our results demonstrate that a significant fraction of clinically actionable variants have low VAFs, often due to low tumor purity and treatment-induced mutations. The percentages of mutations under 5% VAF across hotspots in EGFR, KRAS, PIK3CA, and BRAF are 16%, 11%, 12%, and 10%, respectively, with 24% for EGFR T790M and 17% for PIK3CA E545. For clinical relevance, we describe two patients for whom targeted therapy achieved remission despite low VAF mutations. We also characterize the read depths necessary to achieve sensitivity and specificity comparable to current laboratory assays. These results show that capturing low VAF mutations at hotspots by sufficient sequencing coverage and carefully tuned algorithms is imperative for a clinical assay. Nature Publishing Group UK 2017-11-09 /pmc/articles/PMC5680209/ /pubmed/29123093 http://dx.doi.org/10.1038/s41467-017-01470-y Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Shin, Hyun-Tae Choi, Yoon-La Yun, Jae Won Kim, Nayoung K. D. Kim, Sook-Young Jeon, Hyo Jeong Nam, Jae-Yong Lee, Chung Ryu, Daeun Kim, Sang Cheol Park, Kyunghee Lee, Eunjin Bae, Joon Seol Son, Dae Soon Joung, Je-Gun Lee, Jeeyun Kim, Seung Tae Ahn, Myung-Ju Lee, Se-Hoon Ahn, Jin Seok Lee, Woo Yong Oh, Bo Young Park, Yeon Hee Lee, Jeong Eon Lee, Kwang Hyuk Kim, Hee Cheol Kim, Kyoung-Mee Im, Young-Hyuck Park, Keunchil Park, Peter J. Park, Woong-Yang Prevalence and detection of low-allele-fraction variants in clinical cancer samples |
title | Prevalence and detection of low-allele-fraction variants in clinical cancer samples |
title_full | Prevalence and detection of low-allele-fraction variants in clinical cancer samples |
title_fullStr | Prevalence and detection of low-allele-fraction variants in clinical cancer samples |
title_full_unstemmed | Prevalence and detection of low-allele-fraction variants in clinical cancer samples |
title_short | Prevalence and detection of low-allele-fraction variants in clinical cancer samples |
title_sort | prevalence and detection of low-allele-fraction variants in clinical cancer samples |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680209/ https://www.ncbi.nlm.nih.gov/pubmed/29123093 http://dx.doi.org/10.1038/s41467-017-01470-y |
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