Literature DB >> 22032631

Immunophenotypic analysis of erythroid dysplasia and its diagnostic application in myelodysplastic syndromes.

F Xu1, L Wu, Q He, Z Zhang, C Chang, X Li.   

Abstract

BACKGROUND/AIM: Abnormal immunophenotypes of haematopoietic cells in myelodysplastic syndromes (MDS) have been identified by flow cytometry (FCM) as a typical characteristic of myeloid dysplasia. Considering that most MDS patients show varying degrees of erythroid dysplasia, we analysed the immunophenotypic feature of erythroblasts to evaluate its diagnostic application in MDS.
METHODS: Erythroid antigens CD71 and CD105 expression were analysed using FCM. The development index (DI) acquired by log transformation of the CD71/CD105 expression ratio was used to denote the erythroid maturation and distinguish patients with non-clonal cytopenias from low-risk MDS. The diagnostic quality of DI in distinguishing MDS from non-clonal cytopenia patients was evaluated using the receiver-operator characteristic (ROC) curve.
RESULTS: Under-expression of CD71 and over-expression of CD105 were detected in erythroblasts of MDS patients compared with non-clonal cytopenias. The diagnostic test showed good diagnostic power that the area under the ROC curve was greater than 0.9. The diagnostic sensitivity and specificity were 75.6% and 92.3%, respectively, according to the DI threshold defined by the ROC curve in low-risk MDS patients with normal karyotypes. Moreover, the DI showed a positive correlation with the haemoglobin level, and the MDS patients with lower DI usually showed frequent red cell transfusion. The patients with a lower DI generally had the HLA-DR15 allele or marrow hypocellularity.
CONCLUSION: Developmental defects and immune-associated factors may contribute to the erythroid dysplasia. The DI derived from ratios of CD71 and CD105 expression is a useful marker to characterise dyserythropioiesis associated with MDS and can be helpful in distinguishing it from dyerythropoiesis associated with non-clonal disorders.
© 2011 The Authors. Internal Medicine Journal © 2011 Royal Australasian College of Physicians.

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Year:  2012        PMID: 22032631     DOI: 10.1111/j.1445-5994.2011.02630.x

Source DB:  PubMed          Journal:  Intern Med J        ISSN: 1444-0903            Impact factor:   2.048


  10 in total

1.  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

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.  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

4.  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

5.  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

6.  Implementation of the Ogata flow cytometric scoring system in routine diagnostics of myelodysplastic syndrome.

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Review 7.  Endoglin: An 'Accessory' Receptor Regulating Blood Cell Development and Inflammation.

Authors:  Steffen K Meurer; Ralf Weiskirchen
Journal:  Int J Mol Sci       Date:  2020-12-03       Impact factor: 5.923

8.  Molecular pathways of early CD105-positive erythroid cells as compared with CD34-positive common precursor cells by flow cytometric cell-sorting and gene expression profiling.

Authors:  S Machherndl-Spandl; S Suessner; M Danzer; J Proell; C Gabriel; J Lauf; R Sylie; H-U Klein; M C Béné; A Weltermann; P Bettelheim
Journal:  Blood Cancer J       Date:  2013-01-11       Impact factor: 11.037

9.  Blockade of the interaction between BMP9 and endoglin on erythroid progenitors promotes erythropoiesis in mice.

Authors:  Ayami Yamaguchi; Ikuo Hirano; Shiho Narusawa; Kiyoshi Shimizu; Hiroyuki Ariyama; Kengo Yamawaki; Kenji Nagao; Masayuki Yamamoto; Ritsuko Shimizu
Journal:  Genes Cells       Date:  2021-08-12       Impact factor: 2.300

Review 10.  Normal and pathological erythropoiesis in adults: from gene regulation to targeted treatment concepts.

Authors:  Peter Valent; Guntram Büsche; Igor Theurl; Iris Z Uras; Ulrich Germing; Reinhard Stauder; Karl Sotlar; Wolfgang Füreder; Peter Bettelheim; Michael Pfeilstöcker; Rainer Oberbauer; Wolfgang R Sperr; Klaus Geissler; Jürg Schwaller; Richard Moriggl; Marie C Béné; Ulrich Jäger; Hans-Peter Horny; Olivier Hermine
Journal:  Haematologica       Date:  2018-08-03       Impact factor: 9.941

  10 in total

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