Literature DB >> 17971483

Identification of distinct prognostic subgroups in low- and intermediate-1-risk myelodysplastic syndromes by flow cytometry.

Arjan A van de Loosdrecht1, Theresia M Westers, August H Westra, Angelika M Dräger, Vincent H J van der Velden, Gert J Ossenkoppele.   

Abstract

The World Health Organization (WHO) classification contributes to refined classification and prognostication of myelodysplastic syndromes (MDSs). Flow cytometry might add significantly to diagnostic and prognostic criteria. Our analysis of bone marrow samples from 50 patients with MDS showed aberrant expression of differentiation antigens in the myelomonocytic lineage. This also accounted for refractory anemia (RA) with or without ringed sideroblasts (RS), indicating multilineage dysplasia. In 38% of patients, CD34(+) myeloid blasts expressed CD5, CD7, or CD56. Flow cytometry data were translated into a numerical MDS flow-score. Flow-scores increased significantly from RA with or without RS, refractory cytopenia with multilineage dysplasia (RCMD) with or without RS up to refractory anemia with excess of blasts-1 (RAEB-1) and RAEB-2. No significant differences were observed between WHO cytogenetic subgroups. Flow-scores were highly heterogeneous within International Prognostic Scoring System (IPSS) subgroups. Patients in progression to advanced MDS or acute myeloid leukemia had a significantly higher flow-score compared with non-transfusion-dependent patients. In 60% of patients with transfusion dependency or progressive disease, myeloid blasts expressed CD7 or CD56, in contrast to only 9% of non-transfusion-dependent patients. Moreover, all patients with pure RA with or without RS with aberrant myeloid blasts showed an adverse clinical course. In conclusion, flow cytometry in MDS identified aberrancies in the myelomonocytic lineage not otherwise determined by cytomorphology. In addition, flow cytometry identified patients at risk for transfusion dependency and/or progressive disease independent of known risk groups, which might have impact on treatment decisions and the prognostic scoring system in the near future.

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Year:  2007        PMID: 17971483     DOI: 10.1182/blood-2007-07-098764

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  50 in total

1.  Altered immunophenotypic features of peripheral blood platelets in myelodysplastic syndromes.

Authors:  Alex F Sandes; Mihoko Yamamoto; Sergio Matarraz; Maria de Lourdes L F Chauffaille; Sandra Quijano; Antonio López; Tsutomu Oguro; Eliza Y S Kimura; Alberto Orfao
Journal:  Haematologica       Date:  2012-01-22       Impact factor: 9.941

2.  Multicenter validation of a reproducible flow cytometric score for the diagnosis of low-grade myelodysplastic syndromes: results of a European LeukemiaNET study.

Authors:  Matteo G Della Porta; Cristina Picone; Cristiana Pascutto; Luca Malcovati; Hideto Tamura; Hiroshi Handa; Magdalena Czader; Sylvie Freeman; Paresh Vyas; Anna Porwit; Leonie Saft; Theresia M Westers; Canan Alhan; Claudia Cali; Arjan A van de Loosdrecht; Kiyoyuki Ogata
Journal:  Haematologica       Date:  2012-02-07       Impact factor: 9.941

3.  Immune mediated autologous cytotoxicity against hematopoietic precursor cells in patients with myelodysplastic syndrome.

Authors:  Martine E D Chamuleau; Theresia M Westers; Linda van Dreunen; Judith Groenland; Adri Zevenbergen; Corien M Eeltink; Gert J Ossenkoppele; Arjan A van de Loosdrecht
Journal:  Haematologica       Date:  2009-02-19       Impact factor: 9.941

4.  EuroFlow antibody panels for standardized n-dimensional flow cytometric immunophenotyping of normal, reactive and malignant leukocytes.

Authors:  J J M van Dongen; L Lhermitte; S Böttcher; J Almeida; V H J van der Velden; J Flores-Montero; A Rawstron; V Asnafi; Q Lécrevisse; P Lucio; E Mejstrikova; T Szczepański; T Kalina; R de Tute; M Brüggemann; L Sedek; M Cullen; A W Langerak; A Mendonça; E Macintyre; M Martin-Ayuso; O Hrusak; M B Vidriales; A Orfao
Journal:  Leukemia       Date:  2012-05-03       Impact factor: 11.528

5.  Flow cytometry immunophenotyping for diagnosis of myelodysplastic syndrome.

Authors:  Mario Cazzola
Journal:  Haematologica       Date:  2009-08       Impact factor: 9.941

6.  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

7.  Clinical utility of the neutrophil distribution pattern obtained using the CELL-DYN SAPPHIRE hematology analyzer for the diagnosis of myelodysplastic syndrome.

Authors:  Tohru Inaba; Yoichi Yuki; Soichi Yuasa; Naohisa Fujita; Kazue Yoshitomi; Toshinori Kamisako; Kunio Torii; Toshiharu Okada; Yoshimasa Urasaki; Takanori Ueda; Kaoru Tohyama
Journal:  Int J Hematol       Date:  2011-07-06       Impact factor: 2.490

Review 8.  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

9.  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

10.  Multicenter validation study of a transplantation-specific cytogenetics grouping scheme for patients with myelodysplastic syndromes.

Authors:  P Armand; H J Deeg; H T Kim; H Lee; P Armistead; M de Lima; V Gupta; R J Soiffer
Journal:  Bone Marrow Transplant       Date:  2009-09-28       Impact factor: 5.483

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