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A comparison of ARMS-Plus and droplet digital PCR for detecting EGFR activating mutations in plasma

In this study, we introduce a novel amplification refractory mutation system (ARMS)-based assay, namely ARMS-Plus, for the detection of epidermal growth factor receptor (EGFR) mutations in plasma samples. We evaluated the performance of ARMS-Plus in comparison with droplet digital PCR (ddPCR) and as...

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Autores principales: Zhang, Xinxin, Chang, Ning, Yang, Guohua, Zhang, Yong, Ye, Mingxiang, Cao, Jing, Xiong, Jie, Han, Zhiping, Wu, Shuo, Shang, Lei, Zhang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762375/
https://www.ncbi.nlm.nih.gov/pubmed/29340107
http://dx.doi.org/10.18632/oncotarget.22997
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author Zhang, Xinxin
Chang, Ning
Yang, Guohua
Zhang, Yong
Ye, Mingxiang
Cao, Jing
Xiong, Jie
Han, Zhiping
Wu, Shuo
Shang, Lei
Zhang, Jian
author_facet Zhang, Xinxin
Chang, Ning
Yang, Guohua
Zhang, Yong
Ye, Mingxiang
Cao, Jing
Xiong, Jie
Han, Zhiping
Wu, Shuo
Shang, Lei
Zhang, Jian
author_sort Zhang, Xinxin
collection PubMed
description In this study, we introduce a novel amplification refractory mutation system (ARMS)-based assay, namely ARMS-Plus, for the detection of epidermal growth factor receptor (EGFR) mutations in plasma samples. We evaluated the performance of ARMS-Plus in comparison with droplet digital PCR (ddPCR) and assessed the significance of plasma EGFR mutations in predicting efficacy of EGFR-tyrosine kinase inhibitor (TKI) regimen. A total of 122 advanced non-small cell lung cancer (NSCLC) patients were enrolled in this study. The tumor tissue samples from these patients were evaluated by conventional ARMS PCR method to confirm their EGFR mutation status. For the 116 plasma samples analyzed by ARMS-Plus, the sensitivity, specificity, and concordance rate were 77.27% (34/44), 97.22% (70/72), and 89.66% (104/116; κ=0.77, P<0.0001), respectively. Among the 71 plasma samples analyzed by both ARMS-Plus and ddPCR, ARMS-Plus showed a higher sensitivity than ddPCR (83.33% versus 70.83%). The presence of EGFR activating mutations in plasma was not associated with the response to EGFR-TKI, although further validation with a larger cohort is required to confirm the correlation. Collectively, the performance of ARMS-Plus and ddPCR are comparable. ARMS-Plus could be a potential alternative to tissue genotyping for the detection of plasma EGFR mutations in NSCLC patients.
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spelling pubmed-57623752018-01-16 A comparison of ARMS-Plus and droplet digital PCR for detecting EGFR activating mutations in plasma Zhang, Xinxin Chang, Ning Yang, Guohua Zhang, Yong Ye, Mingxiang Cao, Jing Xiong, Jie Han, Zhiping Wu, Shuo Shang, Lei Zhang, Jian Oncotarget Research Paper In this study, we introduce a novel amplification refractory mutation system (ARMS)-based assay, namely ARMS-Plus, for the detection of epidermal growth factor receptor (EGFR) mutations in plasma samples. We evaluated the performance of ARMS-Plus in comparison with droplet digital PCR (ddPCR) and assessed the significance of plasma EGFR mutations in predicting efficacy of EGFR-tyrosine kinase inhibitor (TKI) regimen. A total of 122 advanced non-small cell lung cancer (NSCLC) patients were enrolled in this study. The tumor tissue samples from these patients were evaluated by conventional ARMS PCR method to confirm their EGFR mutation status. For the 116 plasma samples analyzed by ARMS-Plus, the sensitivity, specificity, and concordance rate were 77.27% (34/44), 97.22% (70/72), and 89.66% (104/116; κ=0.77, P<0.0001), respectively. Among the 71 plasma samples analyzed by both ARMS-Plus and ddPCR, ARMS-Plus showed a higher sensitivity than ddPCR (83.33% versus 70.83%). The presence of EGFR activating mutations in plasma was not associated with the response to EGFR-TKI, although further validation with a larger cohort is required to confirm the correlation. Collectively, the performance of ARMS-Plus and ddPCR are comparable. ARMS-Plus could be a potential alternative to tissue genotyping for the detection of plasma EGFR mutations in NSCLC patients. Impact Journals LLC 2017-12-06 /pmc/articles/PMC5762375/ /pubmed/29340107 http://dx.doi.org/10.18632/oncotarget.22997 Text en Copyright: © 2017 Zhang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Zhang, Xinxin
Chang, Ning
Yang, Guohua
Zhang, Yong
Ye, Mingxiang
Cao, Jing
Xiong, Jie
Han, Zhiping
Wu, Shuo
Shang, Lei
Zhang, Jian
A comparison of ARMS-Plus and droplet digital PCR for detecting EGFR activating mutations in plasma
title A comparison of ARMS-Plus and droplet digital PCR for detecting EGFR activating mutations in plasma
title_full A comparison of ARMS-Plus and droplet digital PCR for detecting EGFR activating mutations in plasma
title_fullStr A comparison of ARMS-Plus and droplet digital PCR for detecting EGFR activating mutations in plasma
title_full_unstemmed A comparison of ARMS-Plus and droplet digital PCR for detecting EGFR activating mutations in plasma
title_short A comparison of ARMS-Plus and droplet digital PCR for detecting EGFR activating mutations in plasma
title_sort comparison of arms-plus and droplet digital pcr for detecting egfr activating mutations in plasma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762375/
https://www.ncbi.nlm.nih.gov/pubmed/29340107
http://dx.doi.org/10.18632/oncotarget.22997
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