Literature DB >> 20198685

Bone marrow cells from myelodysplastic syndromes show altered immunophenotypic profiles that may contribute to the diagnosis and prognostic stratification of the disease: a pilot study on a series of 56 patients.

Sergio Matarraz1, Antonio López, Susana Barrena, Carlos Fernandez, Evan Jensen, Juan Flores-Montero, Ana Rasillo, José María Sayagues, Maria Luz Sánchez, Paloma Bárcena, Jesús María Hernandez-Rivas, Carlos Salvador, Nuria Fernandez-Mosteirín, Manuel Giralt, Luis Perdiguer, Paula Laranjeira, Artur Paiva, Alberto Orfao.   

Abstract

UNLABELLED: A heterogeneous spectrum of immunophenotypic abnormalities have been reported in myelodysplastic syndromes (MDS). However, most studies are restricted to the analysis of CD34(+) cells and/or other major subsets of CD34(-) cells, frequently not exploring the diagnostic and prognostic impact of immunophenotyping.
METHODS: We propose for the first time an immunophenotypic score (IS) based on the altered distribution and immunophenotypic features of maturing/mature compartments of bone marrow (BM) hematopoietic cells in 56 patients with MDS that could contribute to a refined diagnosis and prognostic evaluation of the disease.
RESULTS: Although MDS-associated phenotypes were detected in reactive BM, the overall immunophenotypic profile of BM cells allowed an efficient discrimination between MDS and both normal and reactive BM, once the number and degree of severity of the abnormalities detected per patient were simultaneously considered in the proposed IS. Interestingly, increasingly higher IS were found among patients with MDS showing adverse prognostic factors and in low- versus high-grade cases. The most informative prognostic factors included the number of CD34(+) cells, presence of aberrant CD34(-)/CD117(+) precursors, decreased mature neutrophils and CD34(-) erythroid precursors, and increased numbers of CD36(-/lo) erythroid precursors; in addition, the IS was an independent prognostic factor for overall survival.
CONCLUSIONS: Assessment of immunophenotypic abnormalities of maturing/mature BM cells allows an efficient discrimination between MDS and both normal and reactive BM, once the number and degree of severity of the abnormalities detected are simultaneously scored. Interestingly, progressively higher IS were found among patients with MDS with adverse prognostic features and shorter overall survival. 2010 Clinical Cytometry Society.

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Year:  2010        PMID: 20198685     DOI: 10.1002/cyto.b.20513

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  21 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.  CD117 expression in gammopathies is associated with an altered maturation of the myeloid and lymphoid hematopoietic cell compartments and favorable disease features.

Authors:  Martin Schmidt-Hieber; Martin Pérez-Andrés; Bruno Paiva; Juan Flores-Montero; Jose J Perez; Norma C Gutierrez; Maria-Belen Vidriales; Sergio Matarraz; Jesus F San Miguel; Alberto Orfao
Journal:  Haematologica       Date:  2010-10-22       Impact factor: 9.941

3.  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

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

6.  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

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.  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

Review 9.  Improving Prognostic Modeling in Myelodysplastic Syndromes.

Authors:  Aziz Nazha; Mikkael A Sekeres
Journal:  Curr Hematol Malig Rep       Date:  2016-12       Impact factor: 3.952

10.  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

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