Cargando…

Next Generation Flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma

Flow cytometry has become a highly valuable method to monitor minimal residual disease (MRD) and evaluate the depth of complete response (CR) in bone marrow (BM) of multiple myeloma (MM) after therapy. However, current flow-MRD has lower sensitivity than molecular methods and lacks standardization....

Descripción completa

Detalles Bibliográficos
Autores principales: Flores-Montero, J, Sanoja-Flores, L, Paiva, B, Puig, N, García-Sánchez, O, Böttcher, S, van der Velden, V H J, Pérez-Morán, J-J, Vidriales, M-B, García-Sanz, R, Jimenez, C, González, M, Martínez-López, J, Corral-Mateos, A, Grigore, G-E, Fluxá, R, Pontes, R, Caetano, J, Sedek, L, del Cañizo, M-C, Bladé, J, Lahuerta, J-J, Aguilar, C, Bárez, A, García-Mateo, A, Labrador, J, Leoz, P, Aguilera-Sanz, C, San-Miguel, J, Mateos, M-V, Durie, B, van Dongen, J J M, Orfao, A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5629369/
https://www.ncbi.nlm.nih.gov/pubmed/28104919
http://dx.doi.org/10.1038/leu.2017.29
_version_ 1783269036005523456
author Flores-Montero, J
Sanoja-Flores, L
Paiva, B
Puig, N
García-Sánchez, O
Böttcher, S
van der Velden, V H J
Pérez-Morán, J-J
Vidriales, M-B
García-Sanz, R
Jimenez, C
González, M
Martínez-López, J
Corral-Mateos, A
Grigore, G-E
Fluxá, R
Pontes, R
Caetano, J
Sedek, L
del Cañizo, M-C
Bladé, J
Lahuerta, J-J
Aguilar, C
Bárez, A
García-Mateo, A
Labrador, J
Leoz, P
Aguilera-Sanz, C
San-Miguel, J
Mateos, M-V
Durie, B
van Dongen, J J M
Orfao, A
author_facet Flores-Montero, J
Sanoja-Flores, L
Paiva, B
Puig, N
García-Sánchez, O
Böttcher, S
van der Velden, V H J
Pérez-Morán, J-J
Vidriales, M-B
García-Sanz, R
Jimenez, C
González, M
Martínez-López, J
Corral-Mateos, A
Grigore, G-E
Fluxá, R
Pontes, R
Caetano, J
Sedek, L
del Cañizo, M-C
Bladé, J
Lahuerta, J-J
Aguilar, C
Bárez, A
García-Mateo, A
Labrador, J
Leoz, P
Aguilera-Sanz, C
San-Miguel, J
Mateos, M-V
Durie, B
van Dongen, J J M
Orfao, A
author_sort Flores-Montero, J
collection PubMed
description Flow cytometry has become a highly valuable method to monitor minimal residual disease (MRD) and evaluate the depth of complete response (CR) in bone marrow (BM) of multiple myeloma (MM) after therapy. However, current flow-MRD has lower sensitivity than molecular methods and lacks standardization. Here we report on a novel next generation flow (NGF) approach for highly sensitive and standardized MRD detection in MM. An optimized 2-tube 8-color antibody panel was constructed in five cycles of design-evaluation-redesign. In addition, a bulk-lysis procedure was established for acquisition of ⩾10(7) cells/sample, and novel software tools were constructed for automatic plasma cell gating. Multicenter evaluation of 110 follow-up BM from MM patients in very good partial response (VGPR) or CR showed a higher sensitivity for NGF-MRD vs conventional 8-color flow-MRD -MRD-positive rate of 47 vs 34% (P=0.003)-. Thus, 25% of patients classified as MRD-negative by conventional 8-color flow were MRD-positive by NGF, translating into a significantly longer progression-free survival for MRD-negative vs MRD-positive CR patients by NGF (75% progression-free survival not reached vs 7 months; P=0.02). This study establishes EuroFlow-based NGF as a highly sensitive, fully standardized approach for MRD detection in MM which overcomes the major limitations of conventional flow-MRD methods and is ready for implementation in routine diagnostics.
format Online
Article
Text
id pubmed-5629369
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-56293692017-10-10 Next Generation Flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma Flores-Montero, J Sanoja-Flores, L Paiva, B Puig, N García-Sánchez, O Böttcher, S van der Velden, V H J Pérez-Morán, J-J Vidriales, M-B García-Sanz, R Jimenez, C González, M Martínez-López, J Corral-Mateos, A Grigore, G-E Fluxá, R Pontes, R Caetano, J Sedek, L del Cañizo, M-C Bladé, J Lahuerta, J-J Aguilar, C Bárez, A García-Mateo, A Labrador, J Leoz, P Aguilera-Sanz, C San-Miguel, J Mateos, M-V Durie, B van Dongen, J J M Orfao, A Leukemia Original Article Flow cytometry has become a highly valuable method to monitor minimal residual disease (MRD) and evaluate the depth of complete response (CR) in bone marrow (BM) of multiple myeloma (MM) after therapy. However, current flow-MRD has lower sensitivity than molecular methods and lacks standardization. Here we report on a novel next generation flow (NGF) approach for highly sensitive and standardized MRD detection in MM. An optimized 2-tube 8-color antibody panel was constructed in five cycles of design-evaluation-redesign. In addition, a bulk-lysis procedure was established for acquisition of ⩾10(7) cells/sample, and novel software tools were constructed for automatic plasma cell gating. Multicenter evaluation of 110 follow-up BM from MM patients in very good partial response (VGPR) or CR showed a higher sensitivity for NGF-MRD vs conventional 8-color flow-MRD -MRD-positive rate of 47 vs 34% (P=0.003)-. Thus, 25% of patients classified as MRD-negative by conventional 8-color flow were MRD-positive by NGF, translating into a significantly longer progression-free survival for MRD-negative vs MRD-positive CR patients by NGF (75% progression-free survival not reached vs 7 months; P=0.02). This study establishes EuroFlow-based NGF as a highly sensitive, fully standardized approach for MRD detection in MM which overcomes the major limitations of conventional flow-MRD methods and is ready for implementation in routine diagnostics. Nature Publishing Group 2017-10 2017-03-10 /pmc/articles/PMC5629369/ /pubmed/28104919 http://dx.doi.org/10.1038/leu.2017.29 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Original Article
Flores-Montero, J
Sanoja-Flores, L
Paiva, B
Puig, N
García-Sánchez, O
Böttcher, S
van der Velden, V H J
Pérez-Morán, J-J
Vidriales, M-B
García-Sanz, R
Jimenez, C
González, M
Martínez-López, J
Corral-Mateos, A
Grigore, G-E
Fluxá, R
Pontes, R
Caetano, J
Sedek, L
del Cañizo, M-C
Bladé, J
Lahuerta, J-J
Aguilar, C
Bárez, A
García-Mateo, A
Labrador, J
Leoz, P
Aguilera-Sanz, C
San-Miguel, J
Mateos, M-V
Durie, B
van Dongen, J J M
Orfao, A
Next Generation Flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma
title Next Generation Flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma
title_full Next Generation Flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma
title_fullStr Next Generation Flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma
title_full_unstemmed Next Generation Flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma
title_short Next Generation Flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma
title_sort next generation flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5629369/
https://www.ncbi.nlm.nih.gov/pubmed/28104919
http://dx.doi.org/10.1038/leu.2017.29
work_keys_str_mv AT floresmonteroj nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT sanojafloresl nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT paivab nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT puign nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT garciasanchezo nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT bottchers nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT vanderveldenvhj nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT perezmoranjj nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT vidrialesmb nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT garciasanzr nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT jimenezc nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT gonzalezm nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT martinezlopezj nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT corralmateosa nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT grigorege nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT fluxar nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT pontesr nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT caetanoj nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT sedekl nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT delcanizomc nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT bladej nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT lahuertajj nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT aguilarc nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT bareza nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT garciamateoa nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT labradorj nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT leozp nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT aguilerasanzc nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT sanmiguelj nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT mateosmv nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT durieb nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT vandongenjjm nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma
AT orfaoa nextgenerationflowforhighlysensitiveandstandardizeddetectionofminimalresidualdiseaseinmultiplemyeloma