Identification of candidate genes for lung cancer somatic mutation test kits

Detalhes bibliográficos
Autor(a) principal: Chen,Yong
Data de Publicação: 2013
Outros Autores: Shi,Jian-Xin, Pan,Xu-Feng, Feng,Jian, Zhao,Heng
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572013000300022
Resumo: Over the past three decades, mortality from lung cancer has sharply and continuously increased in China, ascending to the first cause of death among all types of cancer. The ability to identify the actual sequence of gene mutations may help doctors determine which mutations lead to precancerous lesions and which produce invasive carcinomas, especially using next-generation sequencing (NGS) technology. In this study, we analyzed the latest lung cancer data in the COSMIC database, in order to find genomic "hotspots" that are frequently mutated in human lung cancer genomes. The results revealed that the most frequently mutated lung cancer genes are EGFR, KRAS and TP53.In recent years, EGFR and KRAS lung cancer test kits have been utilized for detecting lung cancer patients, but they presented many disadvantages, as they proved to be of low sensitivity, labor-intensive and time-consuming. In this study, we constructed a more complete catalogue of lung cancer mutation events including 145 mutated genes. With the genes of this list it may be feasible to develop a NGS kit for lung cancer mutation detection.
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spelling Identification of candidate genes for lung cancer somatic mutation test kitsLung cancerNext-generation sequencingSomatic mutation kitCOSMICOver the past three decades, mortality from lung cancer has sharply and continuously increased in China, ascending to the first cause of death among all types of cancer. The ability to identify the actual sequence of gene mutations may help doctors determine which mutations lead to precancerous lesions and which produce invasive carcinomas, especially using next-generation sequencing (NGS) technology. In this study, we analyzed the latest lung cancer data in the COSMIC database, in order to find genomic "hotspots" that are frequently mutated in human lung cancer genomes. The results revealed that the most frequently mutated lung cancer genes are EGFR, KRAS and TP53.In recent years, EGFR and KRAS lung cancer test kits have been utilized for detecting lung cancer patients, but they presented many disadvantages, as they proved to be of low sensitivity, labor-intensive and time-consuming. In this study, we constructed a more complete catalogue of lung cancer mutation events including 145 mutated genes. With the genes of this list it may be feasible to develop a NGS kit for lung cancer mutation detection.Sociedade Brasileira de Genética2013-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572013000300022Genetics and Molecular Biology v.36 n.3 2013reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572013000300022info:eu-repo/semantics/openAccessChen,YongShi,Jian-XinPan,Xu-FengFeng,JianZhao,Hengeng2013-08-23T00:00:00Zoai:scielo:S1415-47572013000300022Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2013-08-23T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv Identification of candidate genes for lung cancer somatic mutation test kits
title Identification of candidate genes for lung cancer somatic mutation test kits
spellingShingle Identification of candidate genes for lung cancer somatic mutation test kits
Chen,Yong
Lung cancer
Next-generation sequencing
Somatic mutation kit
COSMIC
title_short Identification of candidate genes for lung cancer somatic mutation test kits
title_full Identification of candidate genes for lung cancer somatic mutation test kits
title_fullStr Identification of candidate genes for lung cancer somatic mutation test kits
title_full_unstemmed Identification of candidate genes for lung cancer somatic mutation test kits
title_sort Identification of candidate genes for lung cancer somatic mutation test kits
author Chen,Yong
author_facet Chen,Yong
Shi,Jian-Xin
Pan,Xu-Feng
Feng,Jian
Zhao,Heng
author_role author
author2 Shi,Jian-Xin
Pan,Xu-Feng
Feng,Jian
Zhao,Heng
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Chen,Yong
Shi,Jian-Xin
Pan,Xu-Feng
Feng,Jian
Zhao,Heng
dc.subject.por.fl_str_mv Lung cancer
Next-generation sequencing
Somatic mutation kit
COSMIC
topic Lung cancer
Next-generation sequencing
Somatic mutation kit
COSMIC
description Over the past three decades, mortality from lung cancer has sharply and continuously increased in China, ascending to the first cause of death among all types of cancer. The ability to identify the actual sequence of gene mutations may help doctors determine which mutations lead to precancerous lesions and which produce invasive carcinomas, especially using next-generation sequencing (NGS) technology. In this study, we analyzed the latest lung cancer data in the COSMIC database, in order to find genomic "hotspots" that are frequently mutated in human lung cancer genomes. The results revealed that the most frequently mutated lung cancer genes are EGFR, KRAS and TP53.In recent years, EGFR and KRAS lung cancer test kits have been utilized for detecting lung cancer patients, but they presented many disadvantages, as they proved to be of low sensitivity, labor-intensive and time-consuming. In this study, we constructed a more complete catalogue of lung cancer mutation events including 145 mutated genes. With the genes of this list it may be feasible to develop a NGS kit for lung cancer mutation detection.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572013000300022
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572013000300022
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1415-47572013000300022
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.36 n.3 2013
reponame:Genetics and Molecular Biology
instname:Sociedade Brasileira de Genética (SBG)
instacron:SBG
instname_str Sociedade Brasileira de Genética (SBG)
instacron_str SBG
institution SBG
reponame_str Genetics and Molecular Biology
collection Genetics and Molecular Biology
repository.name.fl_str_mv Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)
repository.mail.fl_str_mv ||editor@gmb.org.br
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