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A novel ARMS-based assay for the quantification of EGFR mutations in patients with lung adenocarcinoma

Quantification of epidermal growth factor receptor (EGFR) mutations is important for the prediction of tyrosine kinase inhibitor (TKI) efficacy in patients with non-small cell lung cancer (NSCLC). However, clinicians lack a sensitive and convenient method to quantify EGFR mutant abundance. The prese...

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Autores principales: Zhu, Yazhen, Guo, Zhiwei, Liu, Ying, Zheng, Xiyun, Yang, Guohua, Zheng, Guangjuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5778799/
https://www.ncbi.nlm.nih.gov/pubmed/29435017
http://dx.doi.org/10.3892/ol.2017.7679
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author Zhu, Yazhen
Guo, Zhiwei
Liu, Ying
Zheng, Xiyun
Yang, Guohua
Zheng, Guangjuan
author_facet Zhu, Yazhen
Guo, Zhiwei
Liu, Ying
Zheng, Xiyun
Yang, Guohua
Zheng, Guangjuan
author_sort Zhu, Yazhen
collection PubMed
description Quantification of epidermal growth factor receptor (EGFR) mutations is important for the prediction of tyrosine kinase inhibitor (TKI) efficacy in patients with non-small cell lung cancer (NSCLC). However, clinicians lack a sensitive and convenient method to quantify EGFR mutant abundance. The present study introduces a novel method, namely amplification refractory mutation system (ARMS)-Plus, for the quantitative analysis of EGFR exon 19 deletion (19Del), L858R and T790M mutations. Formalin-fixed paraffin-embedded tumor samples were collected from 77 patients with lung adenocarcinoma. DNA was extracted and analyzed for EGFR mutations using ARMS-Plus. The performance of ARMS-Plus was then compared with that of conventional ARMS-polymerase chain reaction (ARMS-PCR) and droplet digital PCR (ddPCR). The results demonstrated that the concordance rate of EGFR mutation testing between ARMS-Plus and ddPCR was 98.7% (76/77, Kappa=0.9739). 19Del and L858R mutations were detected in 23 and 12 patients, respectively. There was a significant difference between ARMS-Plus and ddPCR in the evaluation of 19Del mutant abundance (P=0.0002); however, not in that of L858R mutant abundance (P=0.7334). The ARMS-Plus results in L858R mutant abundance were concordant with that of ddPCR (R(2)=0.8081). These results indicated that the sensitivity and specificity of ARMS-Plus in identifying EGFR mutations were similar to that of ddPCR. For quantitative analysis, the results of ARMS-Plus in evaluating L858R mutant abundance revealed a positive correlation with the ddPCR results. Thus, ARMS-Plus provides an alternative method, which is reliable and cost-effective, to quantify EGFR mutations and thereby, aid treatment decisions in patients with lung adenocarcinoma.
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spelling pubmed-57787992018-02-12 A novel ARMS-based assay for the quantification of EGFR mutations in patients with lung adenocarcinoma Zhu, Yazhen Guo, Zhiwei Liu, Ying Zheng, Xiyun Yang, Guohua Zheng, Guangjuan Oncol Lett Articles Quantification of epidermal growth factor receptor (EGFR) mutations is important for the prediction of tyrosine kinase inhibitor (TKI) efficacy in patients with non-small cell lung cancer (NSCLC). However, clinicians lack a sensitive and convenient method to quantify EGFR mutant abundance. The present study introduces a novel method, namely amplification refractory mutation system (ARMS)-Plus, for the quantitative analysis of EGFR exon 19 deletion (19Del), L858R and T790M mutations. Formalin-fixed paraffin-embedded tumor samples were collected from 77 patients with lung adenocarcinoma. DNA was extracted and analyzed for EGFR mutations using ARMS-Plus. The performance of ARMS-Plus was then compared with that of conventional ARMS-polymerase chain reaction (ARMS-PCR) and droplet digital PCR (ddPCR). The results demonstrated that the concordance rate of EGFR mutation testing between ARMS-Plus and ddPCR was 98.7% (76/77, Kappa=0.9739). 19Del and L858R mutations were detected in 23 and 12 patients, respectively. There was a significant difference between ARMS-Plus and ddPCR in the evaluation of 19Del mutant abundance (P=0.0002); however, not in that of L858R mutant abundance (P=0.7334). The ARMS-Plus results in L858R mutant abundance were concordant with that of ddPCR (R(2)=0.8081). These results indicated that the sensitivity and specificity of ARMS-Plus in identifying EGFR mutations were similar to that of ddPCR. For quantitative analysis, the results of ARMS-Plus in evaluating L858R mutant abundance revealed a positive correlation with the ddPCR results. Thus, ARMS-Plus provides an alternative method, which is reliable and cost-effective, to quantify EGFR mutations and thereby, aid treatment decisions in patients with lung adenocarcinoma. D.A. Spandidos 2018-03 2017-12-21 /pmc/articles/PMC5778799/ /pubmed/29435017 http://dx.doi.org/10.3892/ol.2017.7679 Text en Copyright: © Zhu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Zhu, Yazhen
Guo, Zhiwei
Liu, Ying
Zheng, Xiyun
Yang, Guohua
Zheng, Guangjuan
A novel ARMS-based assay for the quantification of EGFR mutations in patients with lung adenocarcinoma
title A novel ARMS-based assay for the quantification of EGFR mutations in patients with lung adenocarcinoma
title_full A novel ARMS-based assay for the quantification of EGFR mutations in patients with lung adenocarcinoma
title_fullStr A novel ARMS-based assay for the quantification of EGFR mutations in patients with lung adenocarcinoma
title_full_unstemmed A novel ARMS-based assay for the quantification of EGFR mutations in patients with lung adenocarcinoma
title_short A novel ARMS-based assay for the quantification of EGFR mutations in patients with lung adenocarcinoma
title_sort novel arms-based assay for the quantification of egfr mutations in patients with lung adenocarcinoma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5778799/
https://www.ncbi.nlm.nih.gov/pubmed/29435017
http://dx.doi.org/10.3892/ol.2017.7679
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