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Analytical Performance and Concordance with Next-Generation Sequencing of a Rapid, Multiplexed dPCR Panel for the Detection of DNA and RNA Biomarkers in Non-Small-Cell Lung Cancer

FDA approval of targeted therapies for lung cancer has significantly improved patient survival rates. Despite these improvements, barriers to timely access to biomarker information, such as nucleic acid input, still exist. Here, we report the analytical performance and concordance with next-generati...

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Autores principales: Cabrera, Kerri, Gole, Jeffrey, Leatham, Bryan, Springer, Matthew J., Smith, Molly, Herdt, Leah, Jacky, Lucien, Brown, Bradley A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650055/
https://www.ncbi.nlm.nih.gov/pubmed/37958195
http://dx.doi.org/10.3390/diagnostics13213299
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author Cabrera, Kerri
Gole, Jeffrey
Leatham, Bryan
Springer, Matthew J.
Smith, Molly
Herdt, Leah
Jacky, Lucien
Brown, Bradley A.
author_facet Cabrera, Kerri
Gole, Jeffrey
Leatham, Bryan
Springer, Matthew J.
Smith, Molly
Herdt, Leah
Jacky, Lucien
Brown, Bradley A.
author_sort Cabrera, Kerri
collection PubMed
description FDA approval of targeted therapies for lung cancer has significantly improved patient survival rates. Despite these improvements, barriers to timely access to biomarker information, such as nucleic acid input, still exist. Here, we report the analytical performance and concordance with next-generation sequencing (NGS) of a highly multiplexed research-use-only (RUO) panel using digital PCR (dPCR). The panel’s analytical sensitivity and reactivity were determined using contrived DNA and RNA mixes. The limit of blank was established by testing FFPE curls classified as negative by pathology. Concordance was established on 77 FFPE samples previously characterized using the Oncomine Precision Assay(®), and any discordant results were resolved with Archer Fusionplex(®) and Variantplex(®) panels. The analytical sensitivity, reported as the estimated mutant allele fraction (MAF), for DNA targets ranged from 0.1 to 0.9%. For RNA targets (ALK, RET, ROS, NTRK 1/2/3 Fusions, and MET Exon 14 skipping alteration), the analytical sensitivity ranged from 23 to 101 detected counts with 5 ng of total RNA input. The population prevalence-based coverage ranged from 89.2% to 100.0% across targets and exceeded 99.0% in aggregate. The assay demonstrated >97% concordance with respect to the comparator method.
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spelling pubmed-106500552023-10-25 Analytical Performance and Concordance with Next-Generation Sequencing of a Rapid, Multiplexed dPCR Panel for the Detection of DNA and RNA Biomarkers in Non-Small-Cell Lung Cancer Cabrera, Kerri Gole, Jeffrey Leatham, Bryan Springer, Matthew J. Smith, Molly Herdt, Leah Jacky, Lucien Brown, Bradley A. Diagnostics (Basel) Article FDA approval of targeted therapies for lung cancer has significantly improved patient survival rates. Despite these improvements, barriers to timely access to biomarker information, such as nucleic acid input, still exist. Here, we report the analytical performance and concordance with next-generation sequencing (NGS) of a highly multiplexed research-use-only (RUO) panel using digital PCR (dPCR). The panel’s analytical sensitivity and reactivity were determined using contrived DNA and RNA mixes. The limit of blank was established by testing FFPE curls classified as negative by pathology. Concordance was established on 77 FFPE samples previously characterized using the Oncomine Precision Assay(®), and any discordant results were resolved with Archer Fusionplex(®) and Variantplex(®) panels. The analytical sensitivity, reported as the estimated mutant allele fraction (MAF), for DNA targets ranged from 0.1 to 0.9%. For RNA targets (ALK, RET, ROS, NTRK 1/2/3 Fusions, and MET Exon 14 skipping alteration), the analytical sensitivity ranged from 23 to 101 detected counts with 5 ng of total RNA input. The population prevalence-based coverage ranged from 89.2% to 100.0% across targets and exceeded 99.0% in aggregate. The assay demonstrated >97% concordance with respect to the comparator method. MDPI 2023-10-25 /pmc/articles/PMC10650055/ /pubmed/37958195 http://dx.doi.org/10.3390/diagnostics13213299 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cabrera, Kerri
Gole, Jeffrey
Leatham, Bryan
Springer, Matthew J.
Smith, Molly
Herdt, Leah
Jacky, Lucien
Brown, Bradley A.
Analytical Performance and Concordance with Next-Generation Sequencing of a Rapid, Multiplexed dPCR Panel for the Detection of DNA and RNA Biomarkers in Non-Small-Cell Lung Cancer
title Analytical Performance and Concordance with Next-Generation Sequencing of a Rapid, Multiplexed dPCR Panel for the Detection of DNA and RNA Biomarkers in Non-Small-Cell Lung Cancer
title_full Analytical Performance and Concordance with Next-Generation Sequencing of a Rapid, Multiplexed dPCR Panel for the Detection of DNA and RNA Biomarkers in Non-Small-Cell Lung Cancer
title_fullStr Analytical Performance and Concordance with Next-Generation Sequencing of a Rapid, Multiplexed dPCR Panel for the Detection of DNA and RNA Biomarkers in Non-Small-Cell Lung Cancer
title_full_unstemmed Analytical Performance and Concordance with Next-Generation Sequencing of a Rapid, Multiplexed dPCR Panel for the Detection of DNA and RNA Biomarkers in Non-Small-Cell Lung Cancer
title_short Analytical Performance and Concordance with Next-Generation Sequencing of a Rapid, Multiplexed dPCR Panel for the Detection of DNA and RNA Biomarkers in Non-Small-Cell Lung Cancer
title_sort analytical performance and concordance with next-generation sequencing of a rapid, multiplexed dpcr panel for the detection of dna and rna biomarkers in non-small-cell lung cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650055/
https://www.ncbi.nlm.nih.gov/pubmed/37958195
http://dx.doi.org/10.3390/diagnostics13213299
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