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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... Full description

Journal Title: Cancer Informatics January 2015, Vol.14
Main Author: Feng, Hongxiang
Other Authors: Wang, Xiaowei , Zhang, Zhenrong , Tang, Chuanning , Ye, Hua , Jones, Lindsey , Lou, Feng , Zhang, Dandan , Jiang, Shouwen , Sun, Hong , Dong, Haichao , Zhang, Guangchun , Liu, Zhiyuan , Dong, Zhishou , Guo, Baishuai , Yan, He , Yan, Chaowei , Wang, Lu , Su, Ziyi , Li, Yangyang , Nandakumar, Vijayalakshmi , Huang, Xue F , Chen, Si-Yi , Liu, Deruo
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 1176-9351 ; DOI: 10.4137/CIN.S22941
Link: https://journals.sagepub.com/doi/full/10.4137/CIN.S22941
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title: Identification of Genetic Mutations in Human Lung Cancer by Targeted Sequencing
format: Article
creator:
  • Feng, Hongxiang
  • Wang, Xiaowei
  • Zhang, Zhenrong
  • Tang, Chuanning
  • Ye, Hua
  • Jones, Lindsey
  • Lou, Feng
  • Zhang, Dandan
  • Jiang, Shouwen
  • Sun, Hong
  • Dong, Haichao
  • Zhang, Guangchun
  • Liu, Zhiyuan
  • Dong, Zhishou
  • Guo, Baishuai
  • Yan, He
  • Yan, Chaowei
  • Wang, Lu
  • Su, Ziyi
  • Li, Yangyang
  • Nandakumar, Vijayalakshmi
  • Huang, Xue F
  • Chen, Si-Yi
  • Liu, Deruo
subjects:
  • Lung Cancer
  • Genetic Mutations
  • Targeted Sequencing
  • Targeted Therapy
  • Medicine
ispartof: Cancer Informatics, January 2015, Vol.14
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.
language: eng
source:
identifier: E-ISSN: 1176-9351 ; DOI: 10.4137/CIN.S22941
fulltext: fulltext_linktorsrc
issn:
  • 1176-9351
  • 11769351
url: Link


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titleIdentification of Genetic Mutations in Human Lung Cancer by Targeted Sequencing
creatorFeng, Hongxiang ; Wang, Xiaowei ; Zhang, Zhenrong ; Tang, Chuanning ; Ye, Hua ; Jones, Lindsey ; Lou, Feng ; Zhang, Dandan ; Jiang, Shouwen ; Sun, Hong ; Dong, Haichao ; Zhang, Guangchun ; Liu, Zhiyuan ; Dong, Zhishou ; Guo, Baishuai ; Yan, He ; Yan, Chaowei ; Wang, Lu ; Su, Ziyi ; Li, Yangyang ; Nandakumar, Vijayalakshmi ; Huang, Xue F ; Chen, Si-Yi ; Liu, Deruo
ispartofCancer Informatics, January 2015, Vol.14
identifierE-ISSN: 1176-9351 ; DOI: 10.4137/CIN.S22941
subjectLung Cancer ; Genetic Mutations ; Targeted Sequencing ; Targeted Therapy ; Medicine
descriptionLung 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.
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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.

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abstract

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.

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doi10.4137/CIN.S22941
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