New Lung Cancer Panel for High-Throughput Targeted Resequencing

We present a new next-generation sequencing-based method to identify somatic mutations of lung cancer. It is a comprehensive mutation profiling protocol to detect somatic mutations in 30 genes found frequently in lung adenocarcinoma. The total length of the target regions is 107 kb, and a capture as...

Full description

Saved in:
Bibliographic Details
Main Authors: Eun-Hye Kim, Sunghoon Lee, Jongsun Park, Kyusang Lee, Jong Bhak, Byung Chul Kim
Format: Article
Language:English
Published: BioMed Central 2014-06-01
Series:Genomics & Informatics
Subjects:
Online Access:http://genominfo.org/upload/pdf/gni-12-50.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832569895459487744
author Eun-Hye Kim
Sunghoon Lee
Jongsun Park
Kyusang Lee
Jong Bhak
Byung Chul Kim
author_facet Eun-Hye Kim
Sunghoon Lee
Jongsun Park
Kyusang Lee
Jong Bhak
Byung Chul Kim
author_sort Eun-Hye Kim
collection DOAJ
description We present a new next-generation sequencing-based method to identify somatic mutations of lung cancer. It is a comprehensive mutation profiling protocol to detect somatic mutations in 30 genes found frequently in lung adenocarcinoma. The total length of the target regions is 107 kb, and a capture assay was designed to cover 99% of it. This method exhibited about 97% mean coverage at 30× sequencing depth and 42% average specificity when sequencing of more than 3.25 Gb was carried out for the normal sample. We discovered 513 variations from targeted exome sequencing of lung cancer cells, which is 3.9-fold higher than in the normal sample. The variations in cancer cells included previously reported somatic mutations in the COSMIC database, such as variations in TP53, KRAS, and STK11 of sample H-23 and in EGFR of sample H-1650, especially with more than 1,000× coverage. Among the somatic mutations, up to 91% of single nucleotide polymorphisms from the two cancer samples were validated by DNA microarray-based genotyping. Our results demonstrated the feasibility of high-throughput mutation profiling with lung adenocarcinoma samples, and the profiling method can be used as a robust and effective protocol for somatic variant screening.
format Article
id doaj-art-c695a162973541a3b907936fb7f47b1f
institution Kabale University
issn 1598-866X
2234-0742
language English
publishDate 2014-06-01
publisher BioMed Central
record_format Article
series Genomics & Informatics
spelling doaj-art-c695a162973541a3b907936fb7f47b1f2025-02-02T19:10:19ZengBioMed CentralGenomics & Informatics1598-866X2234-07422014-06-01122505710.5808/GI.2014.12.2.50125New Lung Cancer Panel for High-Throughput Targeted ResequencingEun-Hye Kim0Sunghoon Lee1Jongsun Park2Kyusang Lee3Jong Bhak4Byung Chul Kim5Theragen Bio Institute, AICT, Suwon 443-270, Korea.Theragen Bio Institute, AICT, Suwon 443-270, Korea.Personal Genomics Institute, Genome Research Foundation, AICT, Suwon 443-270, Korea.Clinomics Inc., Seoul 138-961, Korea.Theragen Bio Institute, AICT, Suwon 443-270, Korea.Personal Genomics Institute, Genome Research Foundation, AICT, Suwon 443-270, Korea.We present a new next-generation sequencing-based method to identify somatic mutations of lung cancer. It is a comprehensive mutation profiling protocol to detect somatic mutations in 30 genes found frequently in lung adenocarcinoma. The total length of the target regions is 107 kb, and a capture assay was designed to cover 99% of it. This method exhibited about 97% mean coverage at 30× sequencing depth and 42% average specificity when sequencing of more than 3.25 Gb was carried out for the normal sample. We discovered 513 variations from targeted exome sequencing of lung cancer cells, which is 3.9-fold higher than in the normal sample. The variations in cancer cells included previously reported somatic mutations in the COSMIC database, such as variations in TP53, KRAS, and STK11 of sample H-23 and in EGFR of sample H-1650, especially with more than 1,000× coverage. Among the somatic mutations, up to 91% of single nucleotide polymorphisms from the two cancer samples were validated by DNA microarray-based genotyping. Our results demonstrated the feasibility of high-throughput mutation profiling with lung adenocarcinoma samples, and the profiling method can be used as a robust and effective protocol for somatic variant screening.http://genominfo.org/upload/pdf/gni-12-50.pdfhigh-throughput nucleotide sequencinglung neoplasmsnext-generation sequencingselector technologysomatic mutation screeningtarget enrichment
spellingShingle Eun-Hye Kim
Sunghoon Lee
Jongsun Park
Kyusang Lee
Jong Bhak
Byung Chul Kim
New Lung Cancer Panel for High-Throughput Targeted Resequencing
Genomics & Informatics
high-throughput nucleotide sequencing
lung neoplasms
next-generation sequencing
selector technology
somatic mutation screening
target enrichment
title New Lung Cancer Panel for High-Throughput Targeted Resequencing
title_full New Lung Cancer Panel for High-Throughput Targeted Resequencing
title_fullStr New Lung Cancer Panel for High-Throughput Targeted Resequencing
title_full_unstemmed New Lung Cancer Panel for High-Throughput Targeted Resequencing
title_short New Lung Cancer Panel for High-Throughput Targeted Resequencing
title_sort new lung cancer panel for high throughput targeted resequencing
topic high-throughput nucleotide sequencing
lung neoplasms
next-generation sequencing
selector technology
somatic mutation screening
target enrichment
url http://genominfo.org/upload/pdf/gni-12-50.pdf
work_keys_str_mv AT eunhyekim newlungcancerpanelforhighthroughputtargetedresequencing
AT sunghoonlee newlungcancerpanelforhighthroughputtargetedresequencing
AT jongsunpark newlungcancerpanelforhighthroughputtargetedresequencing
AT kyusanglee newlungcancerpanelforhighthroughputtargetedresequencing
AT jongbhak newlungcancerpanelforhighthroughputtargetedresequencing
AT byungchulkim newlungcancerpanelforhighthroughputtargetedresequencing