Author
Listed:
- Hyun-Tae Shin
(Samsung Medical Center
Sungkyunkwan University)
- Yoon-La Choi
(Sungkyunkwan University
Sungkyunkwan University School of Medicine)
- Jae Won Yun
(Samsung Medical Center
Sungkyunkwan University)
- Nayoung K. D. Kim
(Samsung Medical Center)
- Sook-Young Kim
(Samsung Medical Center)
- Hyo Jeong Jeon
(Samsung Medical Center)
- Jae-Yong Nam
(Samsung Medical Center
Sungkyunkwan University)
- Chung Lee
(Samsung Medical Center
Sungkyunkwan University)
- Daeun Ryu
(Samsung Medical Center
Sungkyunkwan University)
- Sang Cheol Kim
(Samsung Medical Center)
- Kyunghee Park
(Samsung Medical Center)
- Eunjin Lee
(Samsung Medical Center)
- Joon Seol Bae
(Samsung Medical Center)
- Dae Soon Son
(Samsung Medical Center)
- Je-Gun Joung
(Samsung Medical Center)
- Jeeyun Lee
(Sungkyunkwan University School of Medicine)
- Seung Tae Kim
(Sungkyunkwan University School of Medicine)
- Myung-Ju Ahn
(Sungkyunkwan University School of Medicine)
- Se-Hoon Lee
(Sungkyunkwan University School of Medicine)
- Jin Seok Ahn
(Sungkyunkwan University School of Medicine)
- Woo Yong Lee
(Sungkyunkwan University School of Medicine)
- Bo Young Oh
(Sungkyunkwan University School of Medicine
Ewha Womans University School of Medicine)
- Yeon Hee Park
(Sungkyunkwan University School of Medicine)
- Jeong Eon Lee
(Sungkyunkwan University School of Medicine)
- Kwang Hyuk Lee
(Sungkyunkwan University School of Medicine)
- Hee Cheol Kim
(Sungkyunkwan University School of Medicine)
- Kyoung-Mee Kim
(Sungkyunkwan University School of Medicine)
- Young-Hyuck Im
(Sungkyunkwan University School of Medicine)
- Keunchil Park
(Sungkyunkwan University School of Medicine)
- Peter J. Park
(Harvard Medical School)
- Woong-Yang Park
(Samsung Medical Center
Sungkyunkwan University
Sungkyunkwan University School of Medicine)
Abstract
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.
Suggested Citation
Hyun-Tae Shin & Yoon-La Choi & Jae Won Yun & Nayoung K. D. Kim & Sook-Young Kim & Hyo Jeong Jeon & Jae-Yong Nam & Chung Lee & Daeun Ryu & Sang Cheol Kim & Kyunghee Park & Eunjin Lee & Joon Seol Bae & , 2017.
"Prevalence and detection of low-allele-fraction variants in clinical cancer samples,"
Nature Communications, Nature, vol. 8(1), pages 1-10, December.
Handle:
RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-01470-y
DOI: 10.1038/s41467-017-01470-y
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