Identification of candidate genes for lung cancer somatic mutation test kits
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , |
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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Genetics and Molecular Biology |
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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 |
_version_ |
1752122385465606144 |