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“Friends and foes” of multiple myeloma measurable/minimal residual disease evaluation by next generation flow

Next Generation Flow (NGF) represents a gold standard for the evaluation of Minimal Residual Disease (MRD) in Multiple Myeloma (MM) patients at any stage of treatment. Although the assessment of MRD is still not universally employed in clinical practice, numerous studies have demonstrated the streng...

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Autores principales: Pacelli, Paola, Raspadori, Donatella, Bestoso, Elena, Gozzetti, Alessandro, Bocchia, Monica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742464/
https://www.ncbi.nlm.nih.gov/pubmed/36518304
http://dx.doi.org/10.3389/fonc.2022.1057713
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author Pacelli, Paola
Raspadori, Donatella
Bestoso, Elena
Gozzetti, Alessandro
Bocchia, Monica
author_facet Pacelli, Paola
Raspadori, Donatella
Bestoso, Elena
Gozzetti, Alessandro
Bocchia, Monica
author_sort Pacelli, Paola
collection PubMed
description Next Generation Flow (NGF) represents a gold standard for the evaluation of Minimal Residual Disease (MRD) in Multiple Myeloma (MM) patients at any stage of treatment. Although the assessment of MRD is still not universally employed in clinical practice, numerous studies have demonstrated the strength of MRD as a reliable predictor of long-term outcome, and its potential to supersede the prognostic value of CR. The possibility to acquire millions of events, in combination with the use of standard reagents and a good expertise in the analysis of rare populations, led to high chance of success and a sensitivity of 10(-6) that is superimposable to the one of Next Generation Sequencing molecular techniques. Some minor bias, correlated to the protocols applied, to the quality of samples and to the high heterogeneity of plasma cells phenotype, may be overcome using standard protocols and having at disposition personnel expertise for MRD analysis. With the use of NGF we can today enter a new phase of the quantification of residual disease, switching from the definition of “minimal” residual disease to “measurable” residual disease. This review takes account of the principle “friends and foes” of Myeloma “Measurable” Residual Disease evaluation by NGF, to give insights into the potentiality of this technique. The optimization of the quality of BM samples and the analytic expertise that permits to discriminate properly the rare pathologic clones, are the keys for obtaining results with a high clinical value that could be of great impact and relevance in the future.
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spelling pubmed-97424642022-12-13 “Friends and foes” of multiple myeloma measurable/minimal residual disease evaluation by next generation flow Pacelli, Paola Raspadori, Donatella Bestoso, Elena Gozzetti, Alessandro Bocchia, Monica Front Oncol Oncology Next Generation Flow (NGF) represents a gold standard for the evaluation of Minimal Residual Disease (MRD) in Multiple Myeloma (MM) patients at any stage of treatment. Although the assessment of MRD is still not universally employed in clinical practice, numerous studies have demonstrated the strength of MRD as a reliable predictor of long-term outcome, and its potential to supersede the prognostic value of CR. The possibility to acquire millions of events, in combination with the use of standard reagents and a good expertise in the analysis of rare populations, led to high chance of success and a sensitivity of 10(-6) that is superimposable to the one of Next Generation Sequencing molecular techniques. Some minor bias, correlated to the protocols applied, to the quality of samples and to the high heterogeneity of plasma cells phenotype, may be overcome using standard protocols and having at disposition personnel expertise for MRD analysis. With the use of NGF we can today enter a new phase of the quantification of residual disease, switching from the definition of “minimal” residual disease to “measurable” residual disease. This review takes account of the principle “friends and foes” of Myeloma “Measurable” Residual Disease evaluation by NGF, to give insights into the potentiality of this technique. The optimization of the quality of BM samples and the analytic expertise that permits to discriminate properly the rare pathologic clones, are the keys for obtaining results with a high clinical value that could be of great impact and relevance in the future. Frontiers Media S.A. 2022-11-28 /pmc/articles/PMC9742464/ /pubmed/36518304 http://dx.doi.org/10.3389/fonc.2022.1057713 Text en Copyright © 2022 Pacelli, Raspadori, Bestoso, Gozzetti and Bocchia 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 Oncology
Pacelli, Paola
Raspadori, Donatella
Bestoso, Elena
Gozzetti, Alessandro
Bocchia, Monica
“Friends and foes” of multiple myeloma measurable/minimal residual disease evaluation by next generation flow
title “Friends and foes” of multiple myeloma measurable/minimal residual disease evaluation by next generation flow
title_full “Friends and foes” of multiple myeloma measurable/minimal residual disease evaluation by next generation flow
title_fullStr “Friends and foes” of multiple myeloma measurable/minimal residual disease evaluation by next generation flow
title_full_unstemmed “Friends and foes” of multiple myeloma measurable/minimal residual disease evaluation by next generation flow
title_short “Friends and foes” of multiple myeloma measurable/minimal residual disease evaluation by next generation flow
title_sort “friends and foes” of multiple myeloma measurable/minimal residual disease evaluation by next generation flow
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742464/
https://www.ncbi.nlm.nih.gov/pubmed/36518304
http://dx.doi.org/10.3389/fonc.2022.1057713
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