Cargando…
A Novel Technique to Detect EGFR Mutations in Lung Cancer
Epidermal growth factor receptor (EGFR) gene mutations occur in multiple human cancers; therefore, the detection of EGFR mutations could lead to early cancer diagnosis. This study describes a novel EGFR mutation detection technique. Compared to direct DNA sequencing detection methods, this method is...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881608/ https://www.ncbi.nlm.nih.gov/pubmed/27223277 http://dx.doi.org/10.3390/ijms17050792 |
_version_ | 1782433996543623168 |
---|---|
author | Liu, Yuanbin Lei, Ting Liu, Zhiyu Kuang, Yanbin Lyu, Jianxin Wang, Qi |
author_facet | Liu, Yuanbin Lei, Ting Liu, Zhiyu Kuang, Yanbin Lyu, Jianxin Wang, Qi |
author_sort | Liu, Yuanbin |
collection | PubMed |
description | Epidermal growth factor receptor (EGFR) gene mutations occur in multiple human cancers; therefore, the detection of EGFR mutations could lead to early cancer diagnosis. This study describes a novel EGFR mutation detection technique. Compared to direct DNA sequencing detection methods, this method is based on allele-specific amplification (ASA), recombinase polymerase amplification (RPA), peptide nucleic acid (PNA), and SYBR Green I (SYBR), referred to as the AS-RPA-PNA-SYBR (ARPS) system. The principle of this technique is based on three continuous steps: ASA or ASA combined with PNA to prevent non-target sequence amplification (even single nucleotide polymorphisms, SNPs), the rapid amplification advantage of RPA, and appropriate SYBR Green I detection (the samples harboring EGFR mutations show a green signal). Using this method, the EGFR 19Del(2) mutation was detected in 5 min, while the EGFR L858R mutation was detected in 10 min. In this study, the detection of EGFR mutations in clinical samples using the ARPS system was compatible with that determined by polymerase chain reaction (PCR) and DNA sequencing methods. Thus, this newly developed methodology that uses the ARPS system with appropriate primer sets is a rapid, reliable, and practical way to assess EGFR mutations in clinical samples. |
format | Online Article Text |
id | pubmed-4881608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-48816082016-05-27 A Novel Technique to Detect EGFR Mutations in Lung Cancer Liu, Yuanbin Lei, Ting Liu, Zhiyu Kuang, Yanbin Lyu, Jianxin Wang, Qi Int J Mol Sci Communication Epidermal growth factor receptor (EGFR) gene mutations occur in multiple human cancers; therefore, the detection of EGFR mutations could lead to early cancer diagnosis. This study describes a novel EGFR mutation detection technique. Compared to direct DNA sequencing detection methods, this method is based on allele-specific amplification (ASA), recombinase polymerase amplification (RPA), peptide nucleic acid (PNA), and SYBR Green I (SYBR), referred to as the AS-RPA-PNA-SYBR (ARPS) system. The principle of this technique is based on three continuous steps: ASA or ASA combined with PNA to prevent non-target sequence amplification (even single nucleotide polymorphisms, SNPs), the rapid amplification advantage of RPA, and appropriate SYBR Green I detection (the samples harboring EGFR mutations show a green signal). Using this method, the EGFR 19Del(2) mutation was detected in 5 min, while the EGFR L858R mutation was detected in 10 min. In this study, the detection of EGFR mutations in clinical samples using the ARPS system was compatible with that determined by polymerase chain reaction (PCR) and DNA sequencing methods. Thus, this newly developed methodology that uses the ARPS system with appropriate primer sets is a rapid, reliable, and practical way to assess EGFR mutations in clinical samples. MDPI 2016-05-23 /pmc/articles/PMC4881608/ /pubmed/27223277 http://dx.doi.org/10.3390/ijms17050792 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Liu, Yuanbin Lei, Ting Liu, Zhiyu Kuang, Yanbin Lyu, Jianxin Wang, Qi A Novel Technique to Detect EGFR Mutations in Lung Cancer |
title | A Novel Technique to Detect EGFR Mutations in Lung Cancer |
title_full | A Novel Technique to Detect EGFR Mutations in Lung Cancer |
title_fullStr | A Novel Technique to Detect EGFR Mutations in Lung Cancer |
title_full_unstemmed | A Novel Technique to Detect EGFR Mutations in Lung Cancer |
title_short | A Novel Technique to Detect EGFR Mutations in Lung Cancer |
title_sort | novel technique to detect egfr mutations in lung cancer |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881608/ https://www.ncbi.nlm.nih.gov/pubmed/27223277 http://dx.doi.org/10.3390/ijms17050792 |
work_keys_str_mv | AT liuyuanbin anoveltechniquetodetectegfrmutationsinlungcancer AT leiting anoveltechniquetodetectegfrmutationsinlungcancer AT liuzhiyu anoveltechniquetodetectegfrmutationsinlungcancer AT kuangyanbin anoveltechniquetodetectegfrmutationsinlungcancer AT lyujianxin anoveltechniquetodetectegfrmutationsinlungcancer AT wangqi anoveltechniquetodetectegfrmutationsinlungcancer AT liuyuanbin noveltechniquetodetectegfrmutationsinlungcancer AT leiting noveltechniquetodetectegfrmutationsinlungcancer AT liuzhiyu noveltechniquetodetectegfrmutationsinlungcancer AT kuangyanbin noveltechniquetodetectegfrmutationsinlungcancer AT lyujianxin noveltechniquetodetectegfrmutationsinlungcancer AT wangqi noveltechniquetodetectegfrmutationsinlungcancer |