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

Juan A Flores-Montero, Luzalba Sanoja-Flores, Bruno Paiva, Noemí Puig, Omar García-Sánchez, Sebastian Böttcher, Vincent H. J. van der Velden, J.J. Pérez-Morán, María‐Belén Vídriales, Ramón García‐Sánz, Cristina Jiménez, Marcos González, Joaquín Martínez‐López, Alba Corral-Mateos, G-E Grigore, Rafael Fluxá, Robéria Mendonça de Pontes, Joana Caetano, Łukasz Sędek, María Consuelo del Cañizo, Joan Bladé, Juan José Lahuerta, C Aguilar, Abelardo Bárez, Aránzazu García‐Mateo, Jorge Labrador, Pilar Leóz, Carmen Aguilera-Sanz, Jesús F. San Miguel, MV Mateos

📄 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 ⩾ 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.

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