Immunophenotypic analysis of erythroid dysplasia in myelodysplastic syndromes. A report from the IMDSFlow working

Theresia M Westers1, Eline M P Cremers2, Uta Oelschlaegel3

  • 1Department of Hematology, VU University Medical Center, Cancer Center Amsterdam, The Netherlands tm.westers@VUmc.nl.

Haematologica
|October 21, 2016
PubMed

Insights

Flow cytometry analysis of nucleated erythroid cells can help diagnose myelodysplastic syndromes (MDS). A specific combination of markers (CD36, CD71, CD117) accurately distinguishes MDS-related dyserythropoiesis from other cytopenias.

Area of Science:

  • Hematology
  • Clinical Pathology
  • Immunophenotyping

Background:

  • Current myelodysplastic syndromes (MDS) diagnosis relies on flow cytometry, primarily examining progenitor and myelomonocytic cells.
  • Anemia and dyserythropoiesis are common in MDS, suggesting a need for erythroid cell analysis.
  • Existing flow cytometry protocols may not fully capture erythroid-specific changes in MDS.

Purpose of the Study:

  • To identify flow cytometry parameters for discriminating MDS-associated dyserythropoiesis from non-clonal cytopenias.
  • To validate these parameters in independent patient cohorts.
  • To enhance the diagnostic utility of flow cytometry in suspected MDS cases.

Main Methods:

  • A multicenter study involving learning and validation cohorts of MDS patients and controls.
  • Analysis of flow cytometry features in nucleated erythroid cells, focusing on CD36, CD71, and CD117 expression.
  • Multivariate logistic regression to identify discriminatory marker combinations.

Main Results:

  • A combination of CD36 and CD71 (coefficient of variation), CD71 fluorescence intensity, and CD117+ erythroid progenitors showed high specificity in the learning cohort (90%).
  • This marker set achieved 92% specificity in the validation cohort, confirming its diagnostic value.
  • The findings suggest improved discrimination between MDS and non-clonal cytopenias.

Conclusions:

  • Erythroid cell flow cytometry offers a valuable complement to existing MDS diagnostic tools.
  • The identified marker combination enhances the evaluation of cytopenic patients with suspected MDS.
  • This approach may improve diagnostic accuracy, especially when integrated with myelomonocytic lineage assessment.

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