Identification of Genetic Mutations in Human Lung Cancer by Targeted Sequencing
Lung cancer remains the most prevalent malignancy and the primary cause of cancer-related deaths worldwide. Unique mutations patterns can be found in lung cancer subtypes, in individual cancers, or within a single tumor, and drugs that target these genetic mutations and signal transduction pathways...
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doaj-c14d39f7c6dd4e5bb75cbbc10f08c3282020-11-25T03:19:22ZengSAGE PublishingCancer Informatics1176-93512015-01-011410.4137/CIN.S22941Identification of Genetic Mutations in Human Lung Cancer by Targeted SequencingHongxiang Feng0Xiaowei Wang1Zhenrong Zhang2Chuanning Tang3Hua Ye4Lindsey Jones5Feng Lou6Dandan Zhang7Shouwen Jiang8Hong Sun9Haichao Dong10Guangchun Zhang11Zhiyuan Liu12Zhishou Dong13Baishuai Guo14He Yan15Chaowei Yan16Lu Wang17Ziyi Su18Yangyang Li19Vijayalakshmi Nandakumar20Xue F. Huang21Si-Yi Chen22Deruo Liu23Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China.Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China.Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.Norris Comprehensive Cancer Center, Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.San Valley Biotechnology Inc., Beijing, China.Norris Comprehensive Cancer Center, Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.Norris Comprehensive Cancer Center, Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.Norris Comprehensive Cancer Center, Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China.Lung cancer remains the most prevalent malignancy and the primary cause of cancer-related deaths worldwide. Unique mutations patterns can be found in lung cancer subtypes, in individual cancers, or within a single tumor, and drugs that target these genetic mutations and signal transduction pathways are often beneficial to patients. In this study, we used the Ion Torrent AmpliSeq Cancer Panel to sequence 737 loci from 45 cancer-related genes and oncogenes to identify genetic mutations in 48 formalin-fixed, paraffin-embedded (FFPE) human lung cancer samples from Chinese patients. We found frequent mutations in EGFR, KRAS, PIK3CA, and TP53 genes. Moreover, we observed that a portion of the lung cancer samples harbored two or more mutations in these key genes. This study demonstrates the feasibility of using the Ion Torrent sequencing to efficiently identify genetic mutations in individual tumors for targeted lung cancer therapy.https://doi.org/10.4137/CIN.S22941 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hongxiang Feng Xiaowei Wang Zhenrong Zhang Chuanning Tang Hua Ye Lindsey Jones Feng Lou Dandan Zhang Shouwen Jiang Hong Sun Haichao Dong Guangchun Zhang Zhiyuan Liu Zhishou Dong Baishuai Guo He Yan Chaowei Yan Lu Wang Ziyi Su Yangyang Li Vijayalakshmi Nandakumar Xue F. Huang Si-Yi Chen Deruo Liu |
spellingShingle |
Hongxiang Feng Xiaowei Wang Zhenrong Zhang Chuanning Tang Hua Ye Lindsey Jones Feng Lou Dandan Zhang Shouwen Jiang Hong Sun Haichao Dong Guangchun Zhang Zhiyuan Liu Zhishou Dong Baishuai Guo He Yan Chaowei Yan Lu Wang Ziyi Su Yangyang Li Vijayalakshmi Nandakumar Xue F. Huang Si-Yi Chen Deruo Liu Identification of Genetic Mutations in Human Lung Cancer by Targeted Sequencing Cancer Informatics |
author_facet |
Hongxiang Feng Xiaowei Wang Zhenrong Zhang Chuanning Tang Hua Ye Lindsey Jones Feng Lou Dandan Zhang Shouwen Jiang Hong Sun Haichao Dong Guangchun Zhang Zhiyuan Liu Zhishou Dong Baishuai Guo He Yan Chaowei Yan Lu Wang Ziyi Su Yangyang Li Vijayalakshmi Nandakumar Xue F. Huang Si-Yi Chen Deruo Liu |
author_sort |
Hongxiang Feng |
title |
Identification of Genetic Mutations in Human Lung Cancer by Targeted Sequencing |
title_short |
Identification of Genetic Mutations in Human Lung Cancer by Targeted Sequencing |
title_full |
Identification of Genetic Mutations in Human Lung Cancer by Targeted Sequencing |
title_fullStr |
Identification of Genetic Mutations in Human Lung Cancer by Targeted Sequencing |
title_full_unstemmed |
Identification of Genetic Mutations in Human Lung Cancer by Targeted Sequencing |
title_sort |
identification of genetic mutations in human lung cancer by targeted sequencing |
publisher |
SAGE Publishing |
series |
Cancer Informatics |
issn |
1176-9351 |
publishDate |
2015-01-01 |
description |
Lung cancer remains the most prevalent malignancy and the primary cause of cancer-related deaths worldwide. Unique mutations patterns can be found in lung cancer subtypes, in individual cancers, or within a single tumor, and drugs that target these genetic mutations and signal transduction pathways are often beneficial to patients. In this study, we used the Ion Torrent AmpliSeq Cancer Panel to sequence 737 loci from 45 cancer-related genes and oncogenes to identify genetic mutations in 48 formalin-fixed, paraffin-embedded (FFPE) human lung cancer samples from Chinese patients. We found frequent mutations in EGFR, KRAS, PIK3CA, and TP53 genes. Moreover, we observed that a portion of the lung cancer samples harbored two or more mutations in these key genes. This study demonstrates the feasibility of using the Ion Torrent sequencing to efficiently identify genetic mutations in individual tumors for targeted lung cancer therapy. |
url |
https://doi.org/10.4137/CIN.S22941 |
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