Immunophenotyping for diagnosis and prognosis in MDS: ready for general application?

Best Pract Res Clin Haematol. 2015 Mar;28(1):14-21. doi: 10.1016/j.beha.2014.11.003. Epub 2014 Nov 11.

Abstract

Myelodysplastic syndromes is a heterogeneous group of bone marrow diseases ranging from low risk to high risk subtypes that may rapidly evolve to acute myeloid leukemia. Flow cytometry (FCM) is added as a recommended tool for diagnostic purposes in MDS. In recent studies FCM has also shown applicable to predict prognosis and treatment response. This review summarizes current data about the diagnostic, prognostic and therapeutic value of FCM in MDS. The high sensitivity of FCM in the detection of dysplasia in myelo-/monocytic and erythroid cell lineages makes it a valuable tool to distinguish possible clonal causes of cytopenia(s) from non-clonal causes, and to detect multi-lineage dysplasia in addition to cytomorphology. The utility of FCM in prediction of treatment response is promising. Therefore, FCM is an essential tool in standard diagnostic strategies in case of suspected MDS, and ready for general application.

Keywords: MDS; diagnosis; flow cytometry; prognosis; treatment response.

Publication types

  • Review

MeSH terms

  • Antigens, CD / genetics
  • Antigens, CD / immunology
  • Antineoplastic Agents / therapeutic use
  • Biomarkers / metabolism
  • Bone Marrow / immunology*
  • Bone Marrow / pathology
  • Cell Proliferation
  • Disease Progression
  • Erythroid Cells / immunology*
  • Erythroid Cells / pathology
  • Flow Cytometry
  • Gene Expression
  • Humans
  • Immunophenotyping
  • Leukemia, Myeloid, Acute / diagnosis*
  • Leukemia, Myeloid, Acute / drug therapy
  • Leukemia, Myeloid, Acute / genetics
  • Leukemia, Myeloid, Acute / immunology
  • Lymphocytes / immunology*
  • Lymphocytes / pathology
  • Myelodysplastic Syndromes / diagnosis*
  • Myelodysplastic Syndromes / drug therapy
  • Myelodysplastic Syndromes / genetics
  • Myelodysplastic Syndromes / immunology
  • Prognosis

Substances

  • Antigens, CD
  • Antineoplastic Agents
  • Biomarkers