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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Investigative Pathology
2021
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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. |
format | Online Article Text |
id | pubmed-7874334 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Investigative Pathology |
record_format | MEDLINE/PubMed |
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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