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Analytical validation and implementation of a pan cancer next-generation sequencing panel, CANSeq(TM)Kids for molecular profiling of childhood malignancies

Next-Generation Sequencing (NGS) allows rapid analysis of multiple genes for the detection of clinically actionable variants. This study reports the analytical validation of a targeted pan cancer NGS panel CANSeq(TM)Kids for molecular profiling of childhood malignancies. Analytical validation includ...

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Autores principales: Schilter, Kala F., Smith, Brandon A., Nie, Qian, Stoll, Kathryn, Felix, Juan C., Jarzembowski, Jason A., Reddi, Honey V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947346/
https://www.ncbi.nlm.nih.gov/pubmed/36845394
http://dx.doi.org/10.3389/fgene.2023.1067457
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author Schilter, Kala F.
Smith, Brandon A.
Nie, Qian
Stoll, Kathryn
Felix, Juan C.
Jarzembowski, Jason A.
Reddi, Honey V.
author_facet Schilter, Kala F.
Smith, Brandon A.
Nie, Qian
Stoll, Kathryn
Felix, Juan C.
Jarzembowski, Jason A.
Reddi, Honey V.
author_sort Schilter, Kala F.
collection PubMed
description Next-Generation Sequencing (NGS) allows rapid analysis of multiple genes for the detection of clinically actionable variants. This study reports the analytical validation of a targeted pan cancer NGS panel CANSeq(TM)Kids for molecular profiling of childhood malignancies. Analytical validation included DNA and RNA extracted from de-identified clinical specimens including formalin fixed paraffin embedded (FFPE) tissue, bone marrow and whole blood as well as commercially available reference materials. The DNA component of the panel evaluates 130 genes for the detection of single nucleotide variants (SNVs), Insertion and Deletions (INDELs), and 91 genes for fusion variants associated with childhood malignancies. Conditions were optimized to use as low as 20% neoplastic content with 5 ng of nucleic acid input. Evaluation of the data determined greater than 99% accuracy, sensitivity, repeatability, and reproducibility. The limit of detection was established to be 5% allele fraction for SNVs and INDELs, 5 copies for gene amplifications and 1,100 reads for gene fusions. Assay efficiency was improved by automation of library preparation. In conclusion, the CANSeq(TM)Kids allows for the comprehensive molecular profiling of childhood malignancies from different specimen sources with high quality and fast turnaround time.
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spelling pubmed-99473462023-02-24 Analytical validation and implementation of a pan cancer next-generation sequencing panel, CANSeq(TM)Kids for molecular profiling of childhood malignancies Schilter, Kala F. Smith, Brandon A. Nie, Qian Stoll, Kathryn Felix, Juan C. Jarzembowski, Jason A. Reddi, Honey V. Front Genet Genetics Next-Generation Sequencing (NGS) allows rapid analysis of multiple genes for the detection of clinically actionable variants. This study reports the analytical validation of a targeted pan cancer NGS panel CANSeq(TM)Kids for molecular profiling of childhood malignancies. Analytical validation included DNA and RNA extracted from de-identified clinical specimens including formalin fixed paraffin embedded (FFPE) tissue, bone marrow and whole blood as well as commercially available reference materials. The DNA component of the panel evaluates 130 genes for the detection of single nucleotide variants (SNVs), Insertion and Deletions (INDELs), and 91 genes for fusion variants associated with childhood malignancies. Conditions were optimized to use as low as 20% neoplastic content with 5 ng of nucleic acid input. Evaluation of the data determined greater than 99% accuracy, sensitivity, repeatability, and reproducibility. The limit of detection was established to be 5% allele fraction for SNVs and INDELs, 5 copies for gene amplifications and 1,100 reads for gene fusions. Assay efficiency was improved by automation of library preparation. In conclusion, the CANSeq(TM)Kids allows for the comprehensive molecular profiling of childhood malignancies from different specimen sources with high quality and fast turnaround time. Frontiers Media S.A. 2023-02-09 /pmc/articles/PMC9947346/ /pubmed/36845394 http://dx.doi.org/10.3389/fgene.2023.1067457 Text en Copyright © 2023 Schilter, Smith, Nie, Stoll, Felix, Jarzembowski and Reddi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Schilter, Kala F.
Smith, Brandon A.
Nie, Qian
Stoll, Kathryn
Felix, Juan C.
Jarzembowski, Jason A.
Reddi, Honey V.
Analytical validation and implementation of a pan cancer next-generation sequencing panel, CANSeq(TM)Kids for molecular profiling of childhood malignancies
title Analytical validation and implementation of a pan cancer next-generation sequencing panel, CANSeq(TM)Kids for molecular profiling of childhood malignancies
title_full Analytical validation and implementation of a pan cancer next-generation sequencing panel, CANSeq(TM)Kids for molecular profiling of childhood malignancies
title_fullStr Analytical validation and implementation of a pan cancer next-generation sequencing panel, CANSeq(TM)Kids for molecular profiling of childhood malignancies
title_full_unstemmed Analytical validation and implementation of a pan cancer next-generation sequencing panel, CANSeq(TM)Kids for molecular profiling of childhood malignancies
title_short Analytical validation and implementation of a pan cancer next-generation sequencing panel, CANSeq(TM)Kids for molecular profiling of childhood malignancies
title_sort analytical validation and implementation of a pan cancer next-generation sequencing panel, canseq(tm)kids for molecular profiling of childhood malignancies
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947346/
https://www.ncbi.nlm.nih.gov/pubmed/36845394
http://dx.doi.org/10.3389/fgene.2023.1067457
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