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Comparative analysis of QS3D versus droplet digital PCR for quantitative measures of EGFR T790M mutation from identical plasma

OBJECTIVES: The capacity of QuantStudio™ 3D (QS3D) and droplet digital PCR (dPCR) for the detection of plasma Epidermal Growth Factor Receptor (EGFR) mutations have been widely reported. Few comparative studies on the quantitative test of the identical DNA material, however, are carried out. Here we...

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Autores principales: Guo, Qiaomei, Wang, Lin, Liang, Xiaohui, Zhao, Mingna, Huang, Xia, Xu, Wanxing, Lou, Jiatao, Qiao, Lihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647353/
https://www.ncbi.nlm.nih.gov/pubmed/36387507
http://dx.doi.org/10.1016/j.heliyon.2022.e11339
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author Guo, Qiaomei
Wang, Lin
Liang, Xiaohui
Zhao, Mingna
Huang, Xia
Xu, Wanxing
Lou, Jiatao
Qiao, Lihua
author_facet Guo, Qiaomei
Wang, Lin
Liang, Xiaohui
Zhao, Mingna
Huang, Xia
Xu, Wanxing
Lou, Jiatao
Qiao, Lihua
author_sort Guo, Qiaomei
collection PubMed
description OBJECTIVES: The capacity of QuantStudio™ 3D (QS3D) and droplet digital PCR (dPCR) for the detection of plasma Epidermal Growth Factor Receptor (EGFR) mutations have been widely reported. Few comparative studies on the quantitative test of the identical DNA material, however, are carried out. Here we compared the performance of the two methods in detecting EGFR T790M mutation in cell-free DNA (cfDNA) from the same lung cancer patients. METHODS: We recruited 72 non-small cell lung cancer (NSCLC) patients who initially respond to tyrosine kinase inhibitor treatment but subsequently developed resistance. Two tubes of 10mL anticoagulant blood were collected and cfDNA was isolated from plasma. Identical cfDNA samples were analyzed for T790M mutation using QS3D and droplet dPCR in parallel. RESULTS: T790M mutation was detected in 15 and 21 cfDNA samples by QS3D and droplet digital PCR, respectively. The 6 discordant samples showed low mutation abundance (∼0.1%) and the discrepancy is caused by the stricter threshold settings for QS3D dPCR. The overall agreement between the two methods was 91.7% (66/72). The median allele frequencies for QS3D dPCR and droplet dPCR to detect T790M mutation was 2.01% and 2.62%, respectively. There was no significance in mutation abundance detected by both methods. Both methods are highly correlated with allele frequencies and copy numbers in T790M wild type and mutant, with R(2) of 0.98, 0.92 and 0.95, respectively. CONCLUSION: Our study demonstrated that QS3D dPCR are highly consistent with droplet PCR for quantitative determination of EGFR T790M mutation in plasma cfDNA.
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spelling pubmed-96473532022-11-15 Comparative analysis of QS3D versus droplet digital PCR for quantitative measures of EGFR T790M mutation from identical plasma Guo, Qiaomei Wang, Lin Liang, Xiaohui Zhao, Mingna Huang, Xia Xu, Wanxing Lou, Jiatao Qiao, Lihua Heliyon Research Article OBJECTIVES: The capacity of QuantStudio™ 3D (QS3D) and droplet digital PCR (dPCR) for the detection of plasma Epidermal Growth Factor Receptor (EGFR) mutations have been widely reported. Few comparative studies on the quantitative test of the identical DNA material, however, are carried out. Here we compared the performance of the two methods in detecting EGFR T790M mutation in cell-free DNA (cfDNA) from the same lung cancer patients. METHODS: We recruited 72 non-small cell lung cancer (NSCLC) patients who initially respond to tyrosine kinase inhibitor treatment but subsequently developed resistance. Two tubes of 10mL anticoagulant blood were collected and cfDNA was isolated from plasma. Identical cfDNA samples were analyzed for T790M mutation using QS3D and droplet dPCR in parallel. RESULTS: T790M mutation was detected in 15 and 21 cfDNA samples by QS3D and droplet digital PCR, respectively. The 6 discordant samples showed low mutation abundance (∼0.1%) and the discrepancy is caused by the stricter threshold settings for QS3D dPCR. The overall agreement between the two methods was 91.7% (66/72). The median allele frequencies for QS3D dPCR and droplet dPCR to detect T790M mutation was 2.01% and 2.62%, respectively. There was no significance in mutation abundance detected by both methods. Both methods are highly correlated with allele frequencies and copy numbers in T790M wild type and mutant, with R(2) of 0.98, 0.92 and 0.95, respectively. CONCLUSION: Our study demonstrated that QS3D dPCR are highly consistent with droplet PCR for quantitative determination of EGFR T790M mutation in plasma cfDNA. Elsevier 2022-10-29 /pmc/articles/PMC9647353/ /pubmed/36387507 http://dx.doi.org/10.1016/j.heliyon.2022.e11339 Text en © 2022 Published by Elsevier Ltd. https://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 Research Article
Guo, Qiaomei
Wang, Lin
Liang, Xiaohui
Zhao, Mingna
Huang, Xia
Xu, Wanxing
Lou, Jiatao
Qiao, Lihua
Comparative analysis of QS3D versus droplet digital PCR for quantitative measures of EGFR T790M mutation from identical plasma
title Comparative analysis of QS3D versus droplet digital PCR for quantitative measures of EGFR T790M mutation from identical plasma
title_full Comparative analysis of QS3D versus droplet digital PCR for quantitative measures of EGFR T790M mutation from identical plasma
title_fullStr Comparative analysis of QS3D versus droplet digital PCR for quantitative measures of EGFR T790M mutation from identical plasma
title_full_unstemmed Comparative analysis of QS3D versus droplet digital PCR for quantitative measures of EGFR T790M mutation from identical plasma
title_short Comparative analysis of QS3D versus droplet digital PCR for quantitative measures of EGFR T790M mutation from identical plasma
title_sort comparative analysis of qs3d versus droplet digital pcr for quantitative measures of egfr t790m mutation from identical plasma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647353/
https://www.ncbi.nlm.nih.gov/pubmed/36387507
http://dx.doi.org/10.1016/j.heliyon.2022.e11339
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