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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-10

AUTHORS

J Flores-Montero, L Sanoja-Flores, B Paiva, N Puig, O García-Sánchez, S Böttcher, V H J van der Velden, J-J Pérez-Morán, M-B Vidriales, R García-Sanz, C Jimenez, M González, J Martínez-López, A Corral-Mateos, G-E Grigore, R Fluxá, R Pontes, J Caetano, L Sedek, M-C Del Cañizo, J Bladé, J-J Lahuerta, C Aguilar, A Bárez, A García-Mateo, J Labrador, P Leoz, C Aguilera-Sanz, J San-Miguel, M-V Mateos, B Durie, J J M van Dongen, A Orfao

ABSTRACT

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 ⩾107 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. More... »

PAGES

2094

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/leu.2017.29

    DOI

    http://dx.doi.org/10.1038/leu.2017.29

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1053949187

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28104919


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