The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Next Generation Flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma
Open accessAbstract
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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Kumar, S., Paiva, B., Anderson, K. C., Durie, B., Landgren, O., Moreau, P., Munshi, N., Lonial, S., Bladé, J., Mateos, M.-V., et al. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(16)30206-6 · Cited by 3,061
Self-citationvan Dongen, J. J. M., Langerak, A. W., Brüggemann, M., Evans, P. A. S., Hummel, M., Lavender, F. L., Delabesse, E., Davi, F., Schuuring, E., García-Sanz, R., et al. (2003) · Leukemia · doi:10.1038/sj.leu.2403202 · Cited by 3,043
Self-citationon behalf of the EuroFlow Consortium (EU-FP6, L.-C.-2.-0., van Dongen, J. J. M., Lhermitte, L., Böttcher, S., Almeida, J., van der Velden, V. H. J., Flores-Montero, J., Rawstron, A., Asnafi, V, Lécrevisse, Q., et al. (2012) · Leukemia · doi:10.1038/leu.2012.120 · Cited by 934
Self-citationMultiple Myeloma: Diagnosis and Treatment
Rajkumar, S. V., & Kumar, S. (2016) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2015.11.007 · Cited by 812
EuroFlow standardization of flow cytometer instrument settings and immunophenotyping protocols
on behalf of the EuroFlow Consortium (EU-FP6, L.-C.-2.-0., Kalina, T., Flores-Montero, J., van der Velden, V. H. J., Martin-Ayuso, M., Böttcher, S., Ritgen, M., Almeida, J., Lhermitte, L., Asnafi, V, et al. (2012) · Leukemia · doi:10.1038/leu.2012.122 · Cited by 783
Self-citationRöllig, C., Knop, S., & Bornhäuser, M. (2015) · The Lancet · doi:10.1016/s0140-6736(14)60493-1 · Cited by 603
Rawstron, A. C., Orfao, A., Beksac, M., Bezdickova, L., Brooimans, R. A., Bumbea, H., Dalva, K., Fuhler, G., Gratama, J., Hose, D., et al. (2008) · Haematologica · doi:10.3324/haematol.11080 · Cited by 513
Self-citationvan Dongen, J. J. M., van der Velden, V. H. J., Brüggemann, M., & Orfao, A. (2015) · Blood · doi:10.1182/blood-2015-03-580027 · Cited by 511
Self-citationMartinez-Lopez, J., Lahuerta, J. J., Pepin, F., González, M., Barrio, S., Ayala, R., Puig, N., Montalban, M. A., Paiva, B., Weng, L., et al. (2014) · Blood · doi:10.1182/blood-2014-01-550020 · Cited by 425
Self-citationRawstron, A. C., Child, J. A., de Tute, R. M., Davies, F. E., Gregory, W. M., Bell, S. E., Szubert, A. J., Navarro-Coy, N., Drayson, M. T., Feyler, S., et al. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.46.2119 · Cited by 415
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Cohen, A. D., Garfall, A. L., Stadtmauer, E. A., Melenhorst, J. J., Lacey, S. F., Lancaster, E., Vogl, D. T., Weiss, B. M., Dengel, K., Nelson, A., et al. (2019) · Journal of Clinical Investigation · doi:10.1172/jci126397 · Cited by 778
Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)
Cossarizza, A., Chang, H., Radbruch, A., Abrignani, S., Addo, R., Akdis, M., Andrä, I., Andreata, F., Annunziato, F., Arranz, E., et al. (2021) · European Journal of Immunology · doi:10.1002/eji.202170126 · Cited by 531
Munshi, N. C., Avet-Loiseau, H., Anderson, K. C., Neri, P., Paiva, B., Samur, M., Dimopoulos, M., Kulakova, M., Lam, A., Hashim, M., et al. (2020) · Blood Advances · doi:10.1182/bloodadvances.2020002827 · Cited by 431
Self-citationPerrot, A., Lauwers-Cances, V., Corre, J., Robillard, N., Hulin, C., Chretien, M.-L., Dejoie, T., Maheo, S., Stoppa, A.-M., Pegourie, B., et al. (2018) · Blood · doi:10.1182/blood-2018-06-858613 · Cited by 417
Multiple myeloma current treatment algorithms
Rajkumar, S. V., & Kumar, S. (2020) · Blood Cancer Journal · doi:10.1038/s41408-020-00359-2 · Cited by 355
Metadata
- Authors
- 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.
- Venue
- Leukemia
- Published
- 2017-01-20
- Volume
- 31
- Issue
- 10
- Pages
- 2094-2103
- ISSN
- 0887-6924 (ISSN-L)
- 1476-5551
- OpenAlex
- W2579739608
- Cited by
- 676
- References
- 52
- FWCI
- 42.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- 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., . . . Orfao, A. (2017). Next Generation Flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma. Leukemia. https://doi.org/10.1038/leu.2017.29
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
