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Targeted Informatics for Optimal Detection, Characterization, and Quantification of FLT3 Internal Tandem Duplications Across Multiple Next-Generation Sequencing Platforms
Assessment of internal tandem duplications in FLT3 (FLT3-ITDs) and their allelic ratio (AR) is recommended by clinical guidelines for diagnostic workup of acute myeloid leukemia and traditionally performed through capillary electrophoresis (CE). Although significant progress has been made integratin...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Investigative Pathology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479488/ https://www.ncbi.nlm.nih.gov/pubmed/32603763 http://dx.doi.org/10.1016/j.jmoldx.2020.06.006 |
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author | Tsai, Harrison K. Brackett, Diane G. Szeto, David Frazier, Ryan MacLeay, Allison Davineni, Phani Manning, Danielle K. Garcia, Elizabeth Lindeman, Neal I. Le, Long P. Lennerz, Jochen K. Gibson, Christopher J. Lindsley, R. Coleman Kim, Annette S. Nardi, Valentina |
author_facet | Tsai, Harrison K. Brackett, Diane G. Szeto, David Frazier, Ryan MacLeay, Allison Davineni, Phani Manning, Danielle K. Garcia, Elizabeth Lindeman, Neal I. Le, Long P. Lennerz, Jochen K. Gibson, Christopher J. Lindsley, R. Coleman Kim, Annette S. Nardi, Valentina |
author_sort | Tsai, Harrison K. |
collection | PubMed |
description | Assessment of internal tandem duplications in FLT3 (FLT3-ITDs) and their allelic ratio (AR) is recommended by clinical guidelines for diagnostic workup of acute myeloid leukemia and traditionally performed through capillary electrophoresis (CE). Although significant progress has been made integrating FLT3-ITD detection within contemporary next-generation sequencing (NGS) panels, AR estimation is not routinely part of clinical NGS practice because of inherent biases and challenges. In this study, data from multiple NGS platforms—anchored multiplex PCR (AMP), amplicon [TruSeq Custom Amplicon (TSCA)], and hybrid-capture—were analyzed through a custom algorithm, including platform-specific measures of AR. Sensitivity and specificity of NGS for FLT3-ITD status relative to CE were 100% (42/42) and 99.4% (1076/1083), respectively, by AMP on an unselected cohort and 98.1% (53/54) and 100% (48/48), respectively, by TSCA on a selected cohort. Primer analysis identified criteria for ITDs to escape detection by TSCA, estimated to occur in approximately 9% of unselected ITDs. Allelic fractions under AMP or TSCA were highly correlated to CE, with linear regression slopes near 1 for ITDs not duplicating primers, and systematically underestimated for ITDs duplicating a primer. Bias was alleviated in AMP through simple adjustments. This article provides an approach for targeted computational FLT3-ITD analysis for NGS data from multiple platforms; AMP was found capable of near perfect sensitivity and specificity with relatively accurate estimates of ARs. |
format | Online Article Text |
id | pubmed-7479488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Society for Investigative Pathology |
record_format | MEDLINE/PubMed |
spelling | pubmed-74794882021-09-01 Targeted Informatics for Optimal Detection, Characterization, and Quantification of FLT3 Internal Tandem Duplications Across Multiple Next-Generation Sequencing Platforms Tsai, Harrison K. Brackett, Diane G. Szeto, David Frazier, Ryan MacLeay, Allison Davineni, Phani Manning, Danielle K. Garcia, Elizabeth Lindeman, Neal I. Le, Long P. Lennerz, Jochen K. Gibson, Christopher J. Lindsley, R. Coleman Kim, Annette S. Nardi, Valentina J Mol Diagn Regular Article Assessment of internal tandem duplications in FLT3 (FLT3-ITDs) and their allelic ratio (AR) is recommended by clinical guidelines for diagnostic workup of acute myeloid leukemia and traditionally performed through capillary electrophoresis (CE). Although significant progress has been made integrating FLT3-ITD detection within contemporary next-generation sequencing (NGS) panels, AR estimation is not routinely part of clinical NGS practice because of inherent biases and challenges. In this study, data from multiple NGS platforms—anchored multiplex PCR (AMP), amplicon [TruSeq Custom Amplicon (TSCA)], and hybrid-capture—were analyzed through a custom algorithm, including platform-specific measures of AR. Sensitivity and specificity of NGS for FLT3-ITD status relative to CE were 100% (42/42) and 99.4% (1076/1083), respectively, by AMP on an unselected cohort and 98.1% (53/54) and 100% (48/48), respectively, by TSCA on a selected cohort. Primer analysis identified criteria for ITDs to escape detection by TSCA, estimated to occur in approximately 9% of unselected ITDs. Allelic fractions under AMP or TSCA were highly correlated to CE, with linear regression slopes near 1 for ITDs not duplicating primers, and systematically underestimated for ITDs duplicating a primer. Bias was alleviated in AMP through simple adjustments. This article provides an approach for targeted computational FLT3-ITD analysis for NGS data from multiple platforms; AMP was found capable of near perfect sensitivity and specificity with relatively accurate estimates of ARs. American Society for Investigative Pathology 2020-09 /pmc/articles/PMC7479488/ /pubmed/32603763 http://dx.doi.org/10.1016/j.jmoldx.2020.06.006 Text en © 2020 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier 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 | Regular Article Tsai, Harrison K. Brackett, Diane G. Szeto, David Frazier, Ryan MacLeay, Allison Davineni, Phani Manning, Danielle K. Garcia, Elizabeth Lindeman, Neal I. Le, Long P. Lennerz, Jochen K. Gibson, Christopher J. Lindsley, R. Coleman Kim, Annette S. Nardi, Valentina Targeted Informatics for Optimal Detection, Characterization, and Quantification of FLT3 Internal Tandem Duplications Across Multiple Next-Generation Sequencing Platforms |
title | Targeted Informatics for Optimal Detection, Characterization, and Quantification of FLT3 Internal Tandem Duplications Across Multiple Next-Generation Sequencing Platforms |
title_full | Targeted Informatics for Optimal Detection, Characterization, and Quantification of FLT3 Internal Tandem Duplications Across Multiple Next-Generation Sequencing Platforms |
title_fullStr | Targeted Informatics for Optimal Detection, Characterization, and Quantification of FLT3 Internal Tandem Duplications Across Multiple Next-Generation Sequencing Platforms |
title_full_unstemmed | Targeted Informatics for Optimal Detection, Characterization, and Quantification of FLT3 Internal Tandem Duplications Across Multiple Next-Generation Sequencing Platforms |
title_short | Targeted Informatics for Optimal Detection, Characterization, and Quantification of FLT3 Internal Tandem Duplications Across Multiple Next-Generation Sequencing Platforms |
title_sort | targeted informatics for optimal detection, characterization, and quantification of flt3 internal tandem duplications across multiple next-generation sequencing platforms |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479488/ https://www.ncbi.nlm.nih.gov/pubmed/32603763 http://dx.doi.org/10.1016/j.jmoldx.2020.06.006 |
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