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Comparison of the SuperARMS and Droplet Digital PCR for Detecting EGFR Mutation in ctDNA From NSCLC Patients
BACKGROUND: Liquid biopsy is emerging as an important approach for tumor genotyping in non-small cell lung cancer, ddPCR and SuperARMS are both methods with high sensitivity and specificity for detecting EGFR mutation in plasma. We aimed to compare ddPCR and SuperARMS to detect plasma EGFR status in...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Neoplasia Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884193/ https://www.ncbi.nlm.nih.gov/pubmed/29525631 http://dx.doi.org/10.1016/j.tranon.2018.02.007 |
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author | Feng, Wei-neng Gu, Wei-quan Zhao, Ning Pan, Ying-ming Luo, Wei Zhang, Hua Liang, Jian-miao Yang, Jie Deng, Yan-ming |
author_facet | Feng, Wei-neng Gu, Wei-quan Zhao, Ning Pan, Ying-ming Luo, Wei Zhang, Hua Liang, Jian-miao Yang, Jie Deng, Yan-ming |
author_sort | Feng, Wei-neng |
collection | PubMed |
description | BACKGROUND: Liquid biopsy is emerging as an important approach for tumor genotyping in non-small cell lung cancer, ddPCR and SuperARMS are both methods with high sensitivity and specificity for detecting EGFR mutation in plasma. We aimed to compare ddPCR and SuperARMS to detect plasma EGFR status in a cohort of advanced NSCLC patients. METHOD: A total of 79 tumor tissues and paired plasma samples were collected. The EGFR mutation status in tissue was tested by ADx-ARMS, matched plasma was detected by ddPCR and SuperARMS, respectively. RESULTS: The EGFR mutation rates were identified as 64.6% (tissue, ARMS), 55.7% (plasma, ddPCR), and 49.4% (plasma, Super ARMS), respectively. The sensitivity of ddPCR was similar with Super-ARMS in plasma EGFR detection (80.4% vs 76.5%), as well as the specificity (89.3% vs 100%). And the McNemar’s test showed there was no significant difference (P = .125). The concordance rate between SuperARMS and ddPCR was 91.1%. A significant interaction was observed between cfDNA EGFR mutation status and EGFR-TKIs treatment tested by both methods. CONCLUSION: Super-ARMS and ddPCR share the similar accuracy for EGFR mutation detection in plasma biopsy; both methods predicted well the efficacy of EGFR-TKIs by detecting plasma EGFR status. |
format | Online Article Text |
id | pubmed-5884193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Neoplasia Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58841932018-04-06 Comparison of the SuperARMS and Droplet Digital PCR for Detecting EGFR Mutation in ctDNA From NSCLC Patients Feng, Wei-neng Gu, Wei-quan Zhao, Ning Pan, Ying-ming Luo, Wei Zhang, Hua Liang, Jian-miao Yang, Jie Deng, Yan-ming Transl Oncol Original article BACKGROUND: Liquid biopsy is emerging as an important approach for tumor genotyping in non-small cell lung cancer, ddPCR and SuperARMS are both methods with high sensitivity and specificity for detecting EGFR mutation in plasma. We aimed to compare ddPCR and SuperARMS to detect plasma EGFR status in a cohort of advanced NSCLC patients. METHOD: A total of 79 tumor tissues and paired plasma samples were collected. The EGFR mutation status in tissue was tested by ADx-ARMS, matched plasma was detected by ddPCR and SuperARMS, respectively. RESULTS: The EGFR mutation rates were identified as 64.6% (tissue, ARMS), 55.7% (plasma, ddPCR), and 49.4% (plasma, Super ARMS), respectively. The sensitivity of ddPCR was similar with Super-ARMS in plasma EGFR detection (80.4% vs 76.5%), as well as the specificity (89.3% vs 100%). And the McNemar’s test showed there was no significant difference (P = .125). The concordance rate between SuperARMS and ddPCR was 91.1%. A significant interaction was observed between cfDNA EGFR mutation status and EGFR-TKIs treatment tested by both methods. CONCLUSION: Super-ARMS and ddPCR share the similar accuracy for EGFR mutation detection in plasma biopsy; both methods predicted well the efficacy of EGFR-TKIs by detecting plasma EGFR status. Neoplasia Press 2018-03-08 /pmc/articles/PMC5884193/ /pubmed/29525631 http://dx.doi.org/10.1016/j.tranon.2018.02.007 Text en © 2018 The Authors. Published by Elsevier Inc. on behalf of Neoplasia Press, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original article Feng, Wei-neng Gu, Wei-quan Zhao, Ning Pan, Ying-ming Luo, Wei Zhang, Hua Liang, Jian-miao Yang, Jie Deng, Yan-ming Comparison of the SuperARMS and Droplet Digital PCR for Detecting EGFR Mutation in ctDNA From NSCLC Patients |
title | Comparison of the SuperARMS and Droplet Digital PCR for Detecting EGFR Mutation in ctDNA From NSCLC Patients |
title_full | Comparison of the SuperARMS and Droplet Digital PCR for Detecting EGFR Mutation in ctDNA From NSCLC Patients |
title_fullStr | Comparison of the SuperARMS and Droplet Digital PCR for Detecting EGFR Mutation in ctDNA From NSCLC Patients |
title_full_unstemmed | Comparison of the SuperARMS and Droplet Digital PCR for Detecting EGFR Mutation in ctDNA From NSCLC Patients |
title_short | Comparison of the SuperARMS and Droplet Digital PCR for Detecting EGFR Mutation in ctDNA From NSCLC Patients |
title_sort | comparison of the superarms and droplet digital pcr for detecting egfr mutation in ctdna from nsclc patients |
topic | Original article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884193/ https://www.ncbi.nlm.nih.gov/pubmed/29525631 http://dx.doi.org/10.1016/j.tranon.2018.02.007 |
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