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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
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.
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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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