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Implementation of erythroid lineage analysis by flow cytometry in diagnostic models for myelodysplastic syndromes.
Cremers, Eline M P; Westers, Theresia M; Alhan, Canan; Cali, Claudia; Visser-Wisselaar, Heleen A; Chitu, Dana A; van der Velden, Vincent H J; Te Marvelde, Jeroen G; Klein, Saskia K; Muus, Petra; Vellenga, Edo; de Greef, Georgina E; Legdeur, Marie-Cecile C J C; Wijermans, Pierre W; Stevens-Kroef, Marian J P L; Silva-Coelho, Pedro da; Jansen, Joop H; Ossenkoppele, Gert J; van de Loosdrecht, Arjan A.
Affiliation
  • Cremers EM; Department of Hematology, VU University Medical Center, Cancer Center Amsterdam, The Netherlands.
  • Westers TM; Department of Hematology, VU University Medical Center, Cancer Center Amsterdam, The Netherlands.
  • Alhan C; Department of Hematology, VU University Medical Center, Cancer Center Amsterdam, The Netherlands.
  • Cali C; Department of Hematology, VU University Medical Center, Cancer Center Amsterdam, The Netherlands.
  • Visser-Wisselaar HA; HOVON Data Center, Erasmus MC Cancer Institute, Clinical Trial Center, Rotterdam, The Netherlands.
  • Chitu DA; HOVON Data Center, Erasmus MC Cancer Institute, Clinical Trial Center, Rotterdam, The Netherlands.
  • van der Velden VH; Department of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Te Marvelde JG; Department of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Klein SK; Department of Internal Medicine, Meander Medical Center, Amersfoort, The Netherlands.
  • Muus P; Department of Hematology, Radboud University Medical Centre, Nijmegen, The Netherlands.
  • Vellenga E; Department of Hematology, University Medical Center Groningen, The Netherlands.
  • de Greef GE; Department of Hematology Erasmus MC Cancer Institute Rotterdam, The Netherlands.
  • Legdeur MC; Department of Internal Medicine, Medisch Spectrum Twente, Enschede, The Netherlands.
  • Wijermans PW; Department of Internal Medicine, Haga Ziekenhuis, The Hague, The Netherlands.
  • Stevens-Kroef MJ; Department of Human Genetics, Radboud University Medical Centre, Nijmegen, The Netherlands.
  • Silva-Coelho PD; Laboratory of Hematology, Radboud University Medical Centre, Nijmegen, The Netherlands.
  • Jansen JH; Laboratory of Hematology, Radboud University Medical Centre, Nijmegen, The Netherlands.
  • Ossenkoppele GJ; Department of Hematology, VU University Medical Center, Cancer Center Amsterdam, The Netherlands.
  • van de Loosdrecht AA; Department of Hematology, VU University Medical Center, Cancer Center Amsterdam, The Netherlands a.vandeloosdrecht@vumc.nl.
Haematologica ; 102(2): 320-326, 2017 02.
Article in En | MEDLINE | ID: mdl-27658438
Flow cytometric analysis is a recommended tool in the diagnosis of myelodysplastic syndromes. Current flow cytometric approaches evaluate the (im)mature myelo-/monocytic lineage with a median sensitivity and specificity of ~71% and ~93%, respectively. We hypothesized that the addition of erythroid lineage analysis could increase the sensitivity of flow cytometry. Hereto, we validated the analysis of erythroid lineage parameters recommended by the International/European LeukemiaNet Working Group for Flow Cytometry in Myelodysplastic Syndromes, and incorporated this evaluation in currently applied flow cytometric models. One hundred and sixty-seven bone marrow aspirates were analyzed; 106 patients with myelodysplastic syndromes, and 61 cytopenic controls. There was a strong correlation between presence of erythroid aberrancies assessed by flow cytometry and the diagnosis of myelodysplastic syndromes when validating the previously described erythroid evaluation. Furthermore, addition of erythroid aberrancies to two different flow cytometric models led to an increased sensitivity in detecting myelodysplastic syndromes: from 74% to 86% for the addition to the diagnostic score designed by Ogata and colleagues, and from 69% to 80% for the addition to the integrated flow cytometric score for myelodysplastic syndromes, designed by our group. In both models the specificity was unaffected. The high sensitivity and specificity of flow cytometry in the detection of myelodysplastic syndromes illustrates the important value of flow cytometry in a standardized diagnostic approach. The trial is registered at www.trialregister.nl as NTR1825; EudraCT n.: 2008-002195-10.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Myelodysplastic Syndromes / Cell Lineage / Erythroid Cells / Flow Cytometry Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Haematologica Year: 2017 Type: Article Affiliation country: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Myelodysplastic Syndromes / Cell Lineage / Erythroid Cells / Flow Cytometry Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Haematologica Year: 2017 Type: Article Affiliation country: Netherlands