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Identification of candidate genes for lung cancer somatic mutation test kits

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 lesi...

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Autores principales: Chen, Yong, Shi, Jian-Xin, Pan, Xu-Feng, Feng, Jian, Zhao, Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Genética 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795175/
https://www.ncbi.nlm.nih.gov/pubmed/24130455
http://dx.doi.org/10.1590/S1415-47572013000300022
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author Chen, Yong
Shi, Jian-Xin
Pan, Xu-Feng
Feng, Jian
Zhao, Heng
author_facet Chen, Yong
Shi, Jian-Xin
Pan, Xu-Feng
Feng, Jian
Zhao, Heng
author_sort Chen, Yong
collection PubMed
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.
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spelling pubmed-37951752013-10-15 Identification of candidate genes for lung cancer somatic mutation test kits Chen, Yong Shi, Jian-Xin Pan, Xu-Feng Feng, Jian Zhao, Heng Genet Mol Biol Genomics and Bioinformatics 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. Sociedade Brasileira de Genética 2013-09 2013-08-30 /pmc/articles/PMC3795175/ /pubmed/24130455 http://dx.doi.org/10.1590/S1415-47572013000300022 Text en Copyright © 2013, Sociedade Brasileira de Genética. License information: This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Genomics and Bioinformatics
Chen, Yong
Shi, Jian-Xin
Pan, Xu-Feng
Feng, Jian
Zhao, Heng
Identification of candidate genes for lung cancer somatic mutation test kits
title 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_short Identification of candidate genes for lung cancer somatic mutation test kits
title_sort identification of candidate genes for lung cancer somatic mutation test kits
topic Genomics and Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795175/
https://www.ncbi.nlm.nih.gov/pubmed/24130455
http://dx.doi.org/10.1590/S1415-47572013000300022
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