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Comparison of the SuperARMS and Droplet Digital PCR for Detecting EGFR Mutation in ctDNA From NSCLC Patients.

Authors :
Feng WN
Gu WQ
Zhao N
Pan YM
Luo W
Zhang H
Liang JM
Yang J
Deng YM
Source :
Translational oncology [Transl Oncol] 2018 Apr; Vol. 11 (2), pp. 542-545. Date of Electronic Publication: 2018 Mar 08.
Publication Year :
2018

Abstract

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.<br />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.<br />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.<br />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.<br /> (Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1936-5233
Volume :
11
Issue :
2
Database :
MEDLINE
Journal :
Translational oncology
Publication Type :
Academic Journal
Accession number :
29525631
Full Text :
https://doi.org/10.1016/j.tranon.2018.02.007