Literature DB >> 20572043

Clinical utility of multiparameter flow cytometry in the diagnosis of 1013 patients with suspected myelodysplastic syndrome: correlation to cytomorphology, cytogenetics, and clinical data.

Wolfgang Kern1, Claudia Haferlach, Susanne Schnittger, Torsten Haferlach.   

Abstract

BACKGROUND: The diagnosis and classification of myelodysplastic syndromes (MDS) is based on cytomorphology (CM) and cytogenetics (CG). Multiparameter flow cytometry (MFC) may add important diagnostic information.
METHODS: To evaluate the potential role of MFC in the diagnostic setting of MDS, the authors analyzed the results from 1013 patients with suspected MDS by using CM, CG, and MFC in parallel.
RESULTS: Concordance between CM and MFC was 82% for diagnostic results in 788 patients who had unequivocal CM results. An additional 225 patients had only minor dysplastic features identified by CM, including 51 patients (22.7%) who had clear evidence of MDS by MFC. Twelve patients who had no indication of MDS identified by CM had MDS-typical CG aberrations; in 6 of those patients (50%), MFC revealed MDS characteristics. In another 11 of 23 patients (47.8%) who had minor dysplastic features identified by CM and MDS-typical CG aberrations, MFC revealed MDS characteristics. The percentages of blasts determined by CM and by MFC were strongly correlated (P<.001). The frequency of aberrantly expressed antigens differed significantly between patients rated by CM as MDS (highest frequencies), suspected MDS, and no MDS (lowest frequencies). In various patients, MFC identified MDS-typical aberrant antigen expression in cell compartments that were not rated dysplastic by CM. The numbers of aberrantly expressed antigens were correlated with International Prognostic Scoring System scores and overall survival.
CONCLUSIONS: The current analysis clearly demonstrated an increased diagnostic yield with MFC when added to CM and CG in patients with suspected MDS.
Copyright © 2010 American Cancer Society.

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Year:  2010        PMID: 20572043     DOI: 10.1002/cncr.25353

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  27 in total

Review 1.  Standardizing the initial evaluation for myelodysplastic syndromes.

Authors:  Danielle Marshall; Gail J Roboz
Journal:  Curr Hematol Malig Rep       Date:  2013-12       Impact factor: 3.952

2.  Myelodysplastic syndromes with a deletion 5q display a characteristic immunophenotypic profile suitable for diagnostics and response monitoring.

Authors:  Uta Oelschlaegel; Theresia M Westers; Brigitte Mohr; Michael Kramer; Stefani Parmentier; Katja Sockel; Christian Thiede; Martin Bornhäuser; Gerhard Ehninger; Arjan A van de Loosdrecht; Uwe Platzbecker
Journal:  Haematologica       Date:  2014-11-25       Impact factor: 9.941

3.  Multicentric study underlining the interest of adding CD5, CD7 and CD56 expression assessment to the flow cytometric Ogata score in myelodysplastic syndromes and myelodysplastic/myeloproliferative neoplasms.

Authors:  Valérie Bardet; Orianne Wagner-Ballon; Julien Guy; Céline Morvan; Camille Debord; Franck Trimoreau; Emmanuel Benayoun; Nicolas Chapuis; Nicolas Freynet; Cédric Rossi; Stéphanie Mathis; Marie-Pierre Gourin; Andréa Toma; Marie C Béné; Jean Feuillard; Estelle Guérin
Journal:  Haematologica       Date:  2015-01-30       Impact factor: 9.941

Review 4.  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

5.  Utility of peripheral blood flow cytometry in differentiating low grade versus high grade myelodysplastic syndromes (MDS) and in the evaluation of cytopenias.

Authors:  Hooman H Rashidi; Xiangdong Xu; Huan-You Wang; Nelofar Q Shafi; Karuna Rameshkumar; Karen Messer; Brian R Smith; Michal G Rose
Journal:  Int J Clin Exp Pathol       Date:  2012-03-25

Review 6.  New strategies in myelodysplastic syndromes: application of molecular diagnostics to clinical practice.

Authors:  Zuzana Tothova; David P Steensma; Benjamin L Ebert
Journal:  Clin Cancer Res       Date:  2013-01-17       Impact factor: 12.531

7.  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

8.  Reproducibility of the World Health Organization 2008 criteria for myelodysplastic syndromes.

Authors:  Leonor Senent; Leonor Arenillas; Elisa Luño; Juan C Ruiz; Guillermo Sanz; Lourdes Florensa
Journal:  Haematologica       Date:  2012-10-12       Impact factor: 9.941

9.  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

10.  Serial assessment of suspected myelodysplastic syndromes: significance of flow cytometric findings validated by cytomorphology, cytogenetics, and molecular genetics.

Authors:  Wolfgang Kern; Claudia Haferlach; Susanne Schnittger; Tamara Alpermann; Torsten Haferlach
Journal:  Haematologica       Date:  2012-08-28       Impact factor: 9.941

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