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Routine Evaluation of Minimal Residual Disease in Myeloma Using Next-Generation Sequencing Clonality Testing: Feasibility, Challenges, and Direct Comparison with High-Sensitivity Flow Cytometry

The 2016 International Myeloma Working Group consensus recommendations emphasize high-sensitivity methods for minimal residual disease (MRD) detection, treatment response assessment, and prognostication. Next-generation sequencing (NGS) of IGH gene rearrangements is highly specific and sensitive, bu...

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Autores principales: Ho, Caleb, Syed, Mustafa, Roshal, Mikhail, Petrova-Drus, Kseniya, Moung, Christine, Yao, Jinjuan, Quesada, Andres E., Benhamida, Jamal, Vanderbilt, Chad, Liu, Ying, Zhu, Menglei, Yu, Wayne, Maciag, Lidia, Wang, Meiyi, Ma, Yuanyuan, Gao, Qi, Rustad, Even H., Hultcrantz, Malin, Diamond, Benjamin T., Zheng-Lin, Binbin, Huang, Ying, Hutt, Kasey, Miller, Jeffrey E., Dogan, Ahmet, Nafa, Khedoudja, Landgren, Ola, Arcila, Maria E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Investigative Pathology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874334/
https://www.ncbi.nlm.nih.gov/pubmed/33217553
http://dx.doi.org/10.1016/j.jmoldx.2020.10.015
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author Ho, Caleb
Syed, Mustafa
Roshal, Mikhail
Petrova-Drus, Kseniya
Moung, Christine
Yao, Jinjuan
Quesada, Andres E.
Benhamida, Jamal
Vanderbilt, Chad
Liu, Ying
Zhu, Menglei
Yu, Wayne
Maciag, Lidia
Wang, Meiyi
Ma, Yuanyuan
Gao, Qi
Rustad, Even H.
Hultcrantz, Malin
Diamond, Benjamin T.
Zheng-Lin, Binbin
Huang, Ying
Hutt, Kasey
Miller, Jeffrey E.
Dogan, Ahmet
Nafa, Khedoudja
Landgren, Ola
Arcila, Maria E.
author_facet Ho, Caleb
Syed, Mustafa
Roshal, Mikhail
Petrova-Drus, Kseniya
Moung, Christine
Yao, Jinjuan
Quesada, Andres E.
Benhamida, Jamal
Vanderbilt, Chad
Liu, Ying
Zhu, Menglei
Yu, Wayne
Maciag, Lidia
Wang, Meiyi
Ma, Yuanyuan
Gao, Qi
Rustad, Even H.
Hultcrantz, Malin
Diamond, Benjamin T.
Zheng-Lin, Binbin
Huang, Ying
Hutt, Kasey
Miller, Jeffrey E.
Dogan, Ahmet
Nafa, Khedoudja
Landgren, Ola
Arcila, Maria E.
author_sort Ho, Caleb
collection PubMed
description The 2016 International Myeloma Working Group consensus recommendations emphasize high-sensitivity methods for minimal residual disease (MRD) detection, treatment response assessment, and prognostication. Next-generation sequencing (NGS) of IGH gene rearrangements is highly specific and sensitive, but its description in routine clinical practice and performance comparison with high-sensitivity flow cytometry (hsFC) remain limited. In this large, single-institution study including 438 samples from 251 patients, the use of NGS targeting the IGH and IGK genes for clonal characterization and monitoring, with comparison to hsFC, is described. The index clone characterization success rate was 93.6% (235/251), which depended on plasma cell (PC) cellularity, reaching 98% when PC ≥10% and below 80% when PC <5%. A total of 85% of cases were successfully characterized using leader and FR1 primer sets, and most clones showed high somatic hypermutation rates (median, 8.1%). Among monitoring samples from 124 patients, 78.6% (147/187) had detectable disease by NGS. Concordance with hsFC was 92.9% (170/183). Discordant cases encompassed 8 of 124 hsFC MRD+/NGS MRD− patients (6.5%) and 4 of 124 hsFC MRD−/NGS MRD+ patients (3.2%), all with low-level disease near detection limits for both assays. Among concordant hsFC MRD−/NGS MRD− cases, only 5 of 24 patients (20.8%) showed subsequent overt relapse at 3-year follow-up. HsFC and NGS showed similar operational sensitivity, and the choice of test may depend on practical, rather than test performance, considerations.
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spelling pubmed-78743342022-02-01 Routine Evaluation of Minimal Residual Disease in Myeloma Using Next-Generation Sequencing Clonality Testing: Feasibility, Challenges, and Direct Comparison with High-Sensitivity Flow Cytometry Ho, Caleb Syed, Mustafa Roshal, Mikhail Petrova-Drus, Kseniya Moung, Christine Yao, Jinjuan Quesada, Andres E. Benhamida, Jamal Vanderbilt, Chad Liu, Ying Zhu, Menglei Yu, Wayne Maciag, Lidia Wang, Meiyi Ma, Yuanyuan Gao, Qi Rustad, Even H. Hultcrantz, Malin Diamond, Benjamin T. Zheng-Lin, Binbin Huang, Ying Hutt, Kasey Miller, Jeffrey E. Dogan, Ahmet Nafa, Khedoudja Landgren, Ola Arcila, Maria E. J Mol Diagn Regular Article The 2016 International Myeloma Working Group consensus recommendations emphasize high-sensitivity methods for minimal residual disease (MRD) detection, treatment response assessment, and prognostication. Next-generation sequencing (NGS) of IGH gene rearrangements is highly specific and sensitive, but its description in routine clinical practice and performance comparison with high-sensitivity flow cytometry (hsFC) remain limited. In this large, single-institution study including 438 samples from 251 patients, the use of NGS targeting the IGH and IGK genes for clonal characterization and monitoring, with comparison to hsFC, is described. The index clone characterization success rate was 93.6% (235/251), which depended on plasma cell (PC) cellularity, reaching 98% when PC ≥10% and below 80% when PC <5%. A total of 85% of cases were successfully characterized using leader and FR1 primer sets, and most clones showed high somatic hypermutation rates (median, 8.1%). Among monitoring samples from 124 patients, 78.6% (147/187) had detectable disease by NGS. Concordance with hsFC was 92.9% (170/183). Discordant cases encompassed 8 of 124 hsFC MRD+/NGS MRD− patients (6.5%) and 4 of 124 hsFC MRD−/NGS MRD+ patients (3.2%), all with low-level disease near detection limits for both assays. Among concordant hsFC MRD−/NGS MRD− cases, only 5 of 24 patients (20.8%) showed subsequent overt relapse at 3-year follow-up. HsFC and NGS showed similar operational sensitivity, and the choice of test may depend on practical, rather than test performance, considerations. American Society for Investigative Pathology 2021-02 /pmc/articles/PMC7874334/ /pubmed/33217553 http://dx.doi.org/10.1016/j.jmoldx.2020.10.015 Text en © 2021 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
Ho, Caleb
Syed, Mustafa
Roshal, Mikhail
Petrova-Drus, Kseniya
Moung, Christine
Yao, Jinjuan
Quesada, Andres E.
Benhamida, Jamal
Vanderbilt, Chad
Liu, Ying
Zhu, Menglei
Yu, Wayne
Maciag, Lidia
Wang, Meiyi
Ma, Yuanyuan
Gao, Qi
Rustad, Even H.
Hultcrantz, Malin
Diamond, Benjamin T.
Zheng-Lin, Binbin
Huang, Ying
Hutt, Kasey
Miller, Jeffrey E.
Dogan, Ahmet
Nafa, Khedoudja
Landgren, Ola
Arcila, Maria E.
Routine Evaluation of Minimal Residual Disease in Myeloma Using Next-Generation Sequencing Clonality Testing: Feasibility, Challenges, and Direct Comparison with High-Sensitivity Flow Cytometry
title Routine Evaluation of Minimal Residual Disease in Myeloma Using Next-Generation Sequencing Clonality Testing: Feasibility, Challenges, and Direct Comparison with High-Sensitivity Flow Cytometry
title_full Routine Evaluation of Minimal Residual Disease in Myeloma Using Next-Generation Sequencing Clonality Testing: Feasibility, Challenges, and Direct Comparison with High-Sensitivity Flow Cytometry
title_fullStr Routine Evaluation of Minimal Residual Disease in Myeloma Using Next-Generation Sequencing Clonality Testing: Feasibility, Challenges, and Direct Comparison with High-Sensitivity Flow Cytometry
title_full_unstemmed Routine Evaluation of Minimal Residual Disease in Myeloma Using Next-Generation Sequencing Clonality Testing: Feasibility, Challenges, and Direct Comparison with High-Sensitivity Flow Cytometry
title_short Routine Evaluation of Minimal Residual Disease in Myeloma Using Next-Generation Sequencing Clonality Testing: Feasibility, Challenges, and Direct Comparison with High-Sensitivity Flow Cytometry
title_sort routine evaluation of minimal residual disease in myeloma using next-generation sequencing clonality testing: feasibility, challenges, and direct comparison with high-sensitivity flow cytometry
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874334/
https://www.ncbi.nlm.nih.gov/pubmed/33217553
http://dx.doi.org/10.1016/j.jmoldx.2020.10.015
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