Literature DB >> 23765225

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

S Mathis1, N Chapuis, C Debord, A Rouquette, I Radford-Weiss, S Park, F Dreyfus, C Lacombe, M C Béné, O Kosmider, M Fontenay, V Bardet.   

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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Year:  2013        PMID: 23765225     DOI: 10.1038/leu.2013.178

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  21 in total

1.  Prognostic significance of reproducible immunophenotypic markers of marrow dysplasia.

Authors:  Matteo G Della Porta; Cristina Picone; Annamaria Tenore; Norio Yokose; Luca Malcovati; Mario Cazzola; Kiyoyuki Ogata
Journal:  Haematologica       Date:  2014-01       Impact factor: 9.941

Review 2.  Is There a Role for Flow Cytometry in the Evaluation of Patients With Myelodysplastic Syndromes?

Authors:  Anna Porwit
Journal:  Curr Hematol Malig Rep       Date:  2015-09       Impact factor: 3.952

3.  Bone marrow immunophenotyping by flow cytometry in refractory cytopenia of childhood.

Authors:  Anna M Aalbers; Marry M van den Heuvel-Eibrink; Irith Baumann; Michael Dworzak; Henrik Hasle; Franco Locatelli; Barbara De Moerloose; Markus Schmugge; Ester Mejstrikova; Michaela Nováková; Marco Zecca; C Michel Zwaan; Jeroen G Te Marvelde; Anton W Langerak; Jacques J M van Dongen; Rob Pieters; Charlotte M Niemeyer; Vincent H J van der Velden
Journal:  Haematologica       Date:  2014-11-25       Impact factor: 9.941

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

Authors:  Theresia M Westers; Eline M P Cremers; Uta Oelschlaegel; Ulrika Johansson; Peter Bettelheim; Sergio Matarraz; Alberto Orfao; Bijan Moshaver; Lisa Eidenschink Brodersen; Michael R Loken; Denise A Wells; Dolores Subirá; Matthew Cullen; Jeroen G Te Marvelde; Vincent H J van der Velden; Frank W M B Preijers; Sung-Chao Chu; Jean Feuillard; Estelle Guérin; Katherina Psarra; Anna Porwit; Leonie Saft; Robin Ireland; Timothy Milne; Marie C Béné; Birgit I Witte; Matteo G Della Porta; Wolfgang Kern; Arjan A van de Loosdrecht
Journal:  Haematologica       Date:  2016-10-06       Impact factor: 9.941

5.  Implementation of erythroid lineage analysis by flow cytometry in diagnostic models for myelodysplastic syndromes.

Authors:  Eline M P Cremers; Theresia M Westers; Canan Alhan; Claudia Cali; Heleen A Visser-Wisselaar; Dana A Chitu; Vincent H J van der Velden; Jeroen G Te Marvelde; Saskia K Klein; Petra Muus; Edo Vellenga; Georgina E de Greef; Marie-Cecile C J C Legdeur; Pierre W Wijermans; Marian J P L Stevens-Kroef; Pedro da Silva-Coelho; Joop H Jansen; Gert J Ossenkoppele; Arjan A van de Loosdrecht
Journal:  Haematologica       Date:  2016-09-22       Impact factor: 9.941

6.  Revisiting guidelines for integration of flow cytometry results in the WHO classification of myelodysplastic syndromes-proposal from the International/European LeukemiaNet Working Group for Flow Cytometry in MDS.

Authors:  A Porwit; A A van de Loosdrecht; P Bettelheim; L Eidenschink Brodersen; K Burbury; E Cremers; M G Della Porta; R Ireland; U Johansson; S Matarraz; K Ogata; A Orfao; F Preijers; K Psarra; D Subirá; P Valent; V H J van der Velden; D Wells; T M Westers; W Kern; M C Béné
Journal:  Leukemia       Date:  2014-06-12       Impact factor: 11.528

Review 7.  Myelodysplastic Syndromes: Laboratory Workup in the Context of New Concepts and Classification Criteria.

Authors:  Maria Sanz-De Pedro; Wei Wang; Rashmi Kanagal-Shamanna; Joseph D Khoury
Journal:  Curr Hematol Malig Rep       Date:  2018-12       Impact factor: 3.952

8.  [Value of multiparameter flow cytometry in the diagnosis and prognostic evaluation of childhood myelodysplastic syndrome].

Authors:  Chao Liu; Wen-Bin An; Jing-Liao Zhang; Ran-Ran Zhang; Cong-Cong Sun; Li-Xian Chang; Tian-Feng Liu; Yao Zou; Hui-Jun Wang; Xiao-Fan Zhu
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2018-10

9.  Distinct bone marrow immunophenotypic features define the splicing factor 3B subunit 1 (SF3B1)-mutant myelodysplastic syndromes subtype.

Authors:  Carolien Duetz; Theresia M Westers; Florentien E M In 't Hout; Eline M P Cremers; Canan Alhan; Bianca Venniker-Punt; Heleen A Visser-Wisselaar; Dana A Chitu; Aniek O de Graaf; Linda Smit; Joop H Jansen; Arjan A van de Loosdrecht
Journal:  Br J Haematol       Date:  2021-03-25       Impact factor: 6.998

Review 10.  Diagnostic Utility of Flow Cytometry in Myelodysplastic Syndromes.

Authors:  Carmen Mariana Aanei; Tiphanie Picot; Emmanuelle Tavernier; Denis Guyotat; Lydia Campos Catafal
Journal:  Front Oncol       Date:  2016-06-27       Impact factor: 6.244

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