title: Flow cytometric detection of dyserythropoiesis: a sensitive and powerful diagnostic tool for myelodysplastic syndromes.
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.
authors.affiliation: 1] Service d'Hématologie Biologique, Hôpitaux Universitaires Paris Centre-Cochin, Paris, France [2] Inserm U1016, UMR 8104, Université Paris Descartes, Hôpitaux Universitaires Paris Centre-Cochin, Paris, France.
authors.forename: S
authors.initials: S
authors.lastname: Mathis
authors.forename: N
authors.initials: N
authors.lastname: Chapuis
authors.forename: C
authors.initials: C
authors.lastname: Debord
authors.forename: A
authors.initials: A
authors.lastname: Rouquette
authors.forename: I
authors.initials: I
authors.lastname: Radford-Weiss
authors.forename: S
authors.initials: S
authors.lastname: Park
authors.forename: F
authors.initials: F
authors.lastname: Dreyfus
authors.forename: C
authors.initials: C
authors.lastname: Lacombe
authors.forename: M C
authors.initials: MC
authors.lastname: Béné
authors.forename: O
authors.initials: O
authors.lastname: Kosmider
authors.forename: M
authors.initials: M
authors.lastname: Fontenay
authors.forename: V
authors.initials: V
authors.lastname: Bardet
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015703:Antigens, CD / Q000378:metabolism*; D016022:Case-Control Studies; D004900:Erythroblasts / Q000473:pathology*; D005260:Female; D005434:Flow Cytometry / Q000379:methods*; D005500:Follow-Up Studies; D006801:Humans; D008297:Male; D008875:Middle Aged; D009190:Myelodysplastic Syndromes / Q000175:diagnosis* / Q000378:metabolism; D011379:Prognosis; D011446:Prospective Studies; D012372:ROC Curve; D011990:Receptors, Transferrin / Q000378:metabolism*; D055815:Young Adult
chemical_list: D015703:Antigens, CD; C068126:CD71 antigen; D011990:Receptors, Transferrin