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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Genética
2013
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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. |
format | Online Article Text |
id | pubmed-3795175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Sociedade Brasileira de Genética |
record_format | MEDLINE/PubMed |
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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