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Myelodysplasias

Flow cytometric detection of dyserythropoiesis: a sensitive and powerful diagnostic tool for myelodysplastic syndromes

Leukemia volume 27, pages 1981–1987 (2013)Cite this article

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Abstract

Several groups have published flow cytometry scores useful for the diagnosis or prognosis of myelodysplastic syndromes (MDS), mainly based on the detection of immunophenotypic abnormalities in the maturation of granulocytic/monocytic and lymphoid lineages. As anemia is the most frequent symptom of early MDS, the aim of this study was to identify markers of dyserythropoiesis relevant for the diagnosis of MDS analyzed by selecting erythroblasts in a whole no-lysis bone marrow strategy by using a nuclear dye. This prospective study included 163 patients, including 126 with cytopenias leading to MDS suspicion and 46 controls without MDS. In a learning cohort of 53 unequivocal MDS with specific markers, there was a significant difference between the coefficients of variation of mean fluorescence intensities of CD71 and CD36 in MDS patients compared with controls. These two parameters and the hemoglobin level were used to build a RED-score strongly suggestive of MDS if ⩾3. Using the RED-score in the whole cohort, 80% of MDS or non-MDS patients were correctly classified. When combined with the flow score described by Ogata et al., this strategy allowed to reach a very high sensitivity of 88% of patients correctly classified.

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Acknowledgements

The authors thank Catherine Gicquel, Laurence Marnet, Loetitia Rhino, Benjamin Bague and Bruno Montout from the flow cytometry team for technical assistance.

Author Contributions

SM, NC and CD performed the flow cytometric experiments and analyzed the data, AR performed the statistical analysis, IRW performed the cytogenetics, OK performed and analyzed the molecular experiments, SP and FD helped for constituting the cohort of patients and provided patient samples, CL, MCB and MF co-wrote the paper, VB designed the study, analyzed the data and co-wrote the paper.

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Author notes

  1. S Mathis and N Chapuis: These authors contributed equally to this work.

Authors and Affiliations

  1. Service d′Hématologie Biologique, Hôpitaux Universitaires Paris Centre-Cochin, Paris, France

    S Mathis, N Chapuis, C Debord, C Lacombe, O Kosmider, M Fontenay & V Bardet

  2. Inserm U1016, UMR 8104, Université Paris Descartes, Hôpitaux Universitaires Paris Centre-Cochin, Paris, France

    S Mathis, N Chapuis, S Park, F Dreyfus, C Lacombe, O Kosmider, M Fontenay & V Bardet

  3. Unité de Biostatistique et d’Epidémiologie, Université Paris Descartes, Hôpitaux Universitaires Paris Centre-Hôtel Dieu, Paris, France

    A Rouquette

  4. Service de Cytogénétique, Groupe Hospitalier Necker-Enfants malades, Paris, France

    I Radford-Weiss

  5. Unité fonctionnelle d′Hématologie Clinique, Hôpitaux Universitaires Paris Centre-Cochin, Paris, France

    S Park & F Dreyfus

  6. Service d′Hématologie Biologique, CHU, Nantes, France

    M C Béné

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  1. S Mathis
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Correspondence to V Bardet.

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Mathis, S., Chapuis, N., Debord, C. et al. Flow cytometric detection of dyserythropoiesis: a sensitive and powerful diagnostic tool for myelodysplastic syndromes. Leukemia 27, 1981–1987 (2013). https://doi.org/10.1038/leu.2013.178

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  • DOI: https://doi.org/10.1038/leu.2013.178

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