Literature DB >> 27758818

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

Theresia M Westers1, Eline M P Cremers2, Uta Oelschlaegel3, Ulrika Johansson4, Peter Bettelheim5, Sergio Matarraz6, Alberto Orfao6, Bijan Moshaver7, Lisa Eidenschink Brodersen8, Michael R Loken8, Denise A Wells8, Dolores Subirá9, Matthew Cullen10, Jeroen G Te Marvelde11, Vincent H J van der Velden11, Frank W M B Preijers12, Sung-Chao Chu13, Jean Feuillard14, Estelle Guérin14, Katherina Psarra15, Anna Porwit16,17, Leonie Saft17, Robin Ireland18, Timothy Milne18, Marie C Béné19, Birgit I Witte20, Matteo G Della Porta21, Wolfgang Kern22, Arjan A van de Loosdrecht2.   

Abstract

Current recommendations for diagnosing myelodysplastic syndromes endorse flow cytometry as an informative tool. Most flow cytometry protocols focus on the analysis of progenitor cells and the evaluation of the maturing myelomonocytic lineage. However, one of the most frequently observed features of myelodysplastic syndromes is anemia, which may be associated with dyserythropoiesis. Therefore, analysis of changes in flow cytometry features of nucleated erythroid cells may complement current flow cytometry tools. The multicenter study within the IMDSFlow Working Group, reported herein, focused on defining flow cytometry parameters that enable discrimination of dyserythropoiesis associated with myelodysplastic syndromes from non-clonal cytopenias. Data from a learning cohort were compared between myelodysplasia and controls, and results were validated in a separate cohort. The learning cohort comprised 245 myelodysplasia cases, 290 pathological, and 142 normal controls; the validation cohort comprised 129 myelodysplasia cases, 153 pathological, and 49 normal controls. Multivariate logistic regression analysis performed in the learning cohort revealed that analysis of expression of CD36 and CD71 (expressed as coefficient of variation), in combination with CD71 fluorescence intensity and the percentage of CD117+ erythroid progenitors provided the best discrimination between myelodysplastic syndromes and non-clonal cytopenias (specificity 90%; 95% confidence interval: 84-94%). The high specificity of this marker set was confirmed in the validation cohort (92%; 95% confidence interval: 86-97%). This erythroid flow cytometry marker combination may improve the evaluation of cytopenic cases with suspected myelodysplasia, particularly when combined with flow cytometry assessment of the myelomonocytic lineage. Copyright© Ferrata Storti Foundation.

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Year:  2016        PMID: 27758818      PMCID: PMC5286938          DOI: 10.3324/haematol.2016.147835

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


  38 in total

Review 1.  Multispectral imaging of hematopoietic cells: where flow meets morphology.

Authors:  Kathleen E McGrath; Timothy P Bushnell; James Palis
Journal:  J Immunol Methods       Date:  2008-05-15       Impact factor: 2.303

2.  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

3.  Assessment of normal erythropoiesis by flow cytometry: important considerations for specimen preparation.

Authors:  J R Wangen; L Eidenschink Brodersen; T T Stolk; D A Wells; M R Loken
Journal:  Int J Lab Hematol       Date:  2013-10-03       Impact factor: 2.877

4.  Expression of CD44 and CD35 during normal and myelodysplastic erythropoiesis.

Authors:  Paula Laranjeira; Raquel Rodrigues; Tiago Carvalheiro; Conceição Constanço; Helena Vitória; Sergio Matarraz; Hélder Trindade; Alberto Órfão; Artur Paiva
Journal:  Leuk Res       Date:  2014-12-24       Impact factor: 3.156

5.  Multiparameter flow cytometry is instrumental to distinguish myelodysplastic syndromes from non-neoplastic cytopenias.

Authors:  Eline M P Cremers; Theresia M Westers; Canan Alhan; Claudia Cali; Mariëlle J Wondergem; Pino J Poddighe; Gert J Ossenkoppele; Arjan A van de Loosdrecht
Journal:  Eur J Cancer       Date:  2015-12-22       Impact factor: 9.162

6.  The bone marrow aspirate of healthy subjects.

Authors:  B J Bain
Journal:  Br J Haematol       Date:  1996-07       Impact factor: 6.998

7.  Flow cytometric scoring system as a diagnostic and prognostic tool in myelodysplastic syndromes.

Authors:  Sung-Chao Chu; Tso-Fu Wang; Chi-Cheng Li; Ruey-Ho Kao; Dian-Kun Li; Yu-Chieh Su; Denise A Wells; Michael R Loken
Journal:  Leuk Res       Date:  2011-03-12       Impact factor: 3.156

8.  Validation and proposals for a refinement of the WHO 2008 classification of myelodysplastic syndromes without excess of blasts.

Authors:  Anna Maassen; Corinna Strupp; Aristoteles Giagounidis; Andrea Kuendgen; Kathrin Nachtkamp; Barbara Hildebrandt; Norbert Gattermann; Carlo Aul; Rainer Haas; Ulrich Germing
Journal:  Leuk Res       Date:  2012-10-31       Impact factor: 3.156

9.  Standardization of flow cytometry in myelodysplastic syndromes: report from the first European LeukemiaNet working conference on flow cytometry in myelodysplastic syndromes.

Authors:  Arjan A van de Loosdrecht; Canan Alhan; Marie Christine Béné; Matteo G Della Porta; Angelika M Dräger; Jean Feuillard; Patricia Font; Ulrich Germing; Detlef Haase; Christa H Homburg; Robin Ireland; Joop H Jansen; Wolfgang Kern; Luca Malcovati; Jeroen G Te Marvelde; Ghulam J Mufti; Kiyoyuki Ogata; Alberto Orfao; Gert J Ossenkoppele; Anna Porwit; Frank W Preijers; Stephen J Richards; Gerrit Jan Schuurhuis; Dolores Subirá; Peter Valent; Vincent H J van der Velden; Paresh Vyas; August H Westra; Theo M de Witte; Denise A Wells; Michael R Loken; Theresia M Westers
Journal:  Haematologica       Date:  2009-06-22       Impact factor: 9.941

10.  Diagnosis and treatment of primary myelodysplastic syndromes in adults: recommendations from the European LeukemiaNet.

Authors:  Luca Malcovati; Eva Hellström-Lindberg; David Bowen; Lionel Adès; Jaroslav Cermak; Consuelo Del Cañizo; Matteo G Della Porta; Pierre Fenaux; Norbert Gattermann; Ulrich Germing; Joop H Jansen; Moshe Mittelman; Ghulam Mufti; Uwe Platzbecker; Guillermo F Sanz; Dominik Selleslag; Mette Skov-Holm; Reinhard Stauder; Argiris Symeonidis; Arjan A van de Loosdrecht; Theo de Witte; Mario Cazzola
Journal:  Blood       Date:  2013-08-26       Impact factor: 22.113

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  16 in total

1.  Monitoring treatment with 5-Azacitidine by flow cytometry predicts duration of hematological response in patients with myelodysplastic syndrome.

Authors:  Dolores Subirá; Canan Alhan; Uta Oelschlaegel; Anna Porwit; Katherina Psarra; Theresia M Westers; Nuria Golbano; Lars Nilsson; Arjan A van de Loosdrecht; Dunia de Miguel
Journal:  Ann Hematol       Date:  2021-01-09       Impact factor: 3.673

2.  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

3.  Proposed minimal diagnostic criteria for myelodysplastic syndromes (MDS) and potential pre-MDS conditions.

Authors:  Peter Valent; Attilio Orazi; David P Steensma; Benjamin L Ebert; Detlef Haase; Luca Malcovati; Arjan A van de Loosdrecht; Torsten Haferlach; Theresia M Westers; Denise A Wells; Aristoteles Giagounidis; Michael Loken; Alberto Orfao; Michael Lübbert; Arnold Ganser; Wolf-Karsten Hofmann; Kiyoyuki Ogata; Julie Schanz; Marie C Béné; Gregor Hoermann; Wolfgang R Sperr; Karl Sotlar; Peter Bettelheim; Reinhard Stauder; Michael Pfeilstöcker; Hans-Peter Horny; Ulrich Germing; Peter Greenberg; John M Bennett
Journal:  Oncotarget       Date:  2017-07-05

4.  The impact of delayed sample handling and type of anticoagulant on the interpretation of dysplastic signs detected by flow cytometry.

Authors:  Bettina Kárai; Zsófia Miltényi; Lajos Gergely; Marianna Száraz-Széles; János Kappelmayer; Zsuzsanna Hevessy
Journal:  Biochem Med (Zagreb)       Date:  2018-04-15       Impact factor: 2.313

5.  Cytomorphology review of 100 newly diagnosed lower-risk MDS patients in the European LeukemiaNet MDS (EUMDS) registry reveals a high inter-observer concordance.

Authors:  Louise de Swart; Alex Smith; Marius MacKenzie; Argiris Symeonidis; Judith Neukirchen; Dana Mikulenková; Teresa Vallespí; Gina Zini; Malgorzata Paszkowska-Kowalewska; Anton Kruger; Leonie Saft; Pierre Fenaux; David Bowen; Eva Hellström-Lindberg; Jaroslav Čermák; Reinhard Stauder; Aurelia Tatic; Mette Skov Holm; Luca Malcovati; Krzysztof Mądry; Jackie Droste; Nicole Blijlevens; Theo de Witte; Ulrich Germing
Journal:  Ann Hematol       Date:  2017-05-20       Impact factor: 3.673

Review 6.  Diagnostic Utility of Flow Cytometry in Myelodysplastic Syndromes.

Authors:  Matteo G Della Porta; Cristina Picone
Journal:  Mediterr J Hematol Infect Dis       Date:  2017-02-15       Impact factor: 2.576

Review 7.  The Use of Flow Cytometry in Myelodysplastic Syndromes: A Review.

Authors:  Laiz Cameirão Bento; Rodolfo Patussi Correia; Cristóvão Luis Pitangueiras Mangueira; Rodrigo De Souza Barroso; Fernanda Agostini Rocha; Nydia Strachman Bacal; Luciana Cavalheiro Marti
Journal:  Front Oncol       Date:  2017-11-15       Impact factor: 6.244

8.  The diagnostic and prognostic role of flow cytometry in idiopathic and clonal cytopenia of undetermined significance (ICUS/CCUS): A single-center analysis of 79 patients.

Authors:  Konstantinos Dimopoulos; Olga Kristina Hansen; Lene Dissing Sjö; Leonie Saft; Ida Marianne Schjødt; Jakob Werner Hansen; Kirsten Grønbaek
Journal:  Cytometry B Clin Cytom       Date:  2019-09-03       Impact factor: 3.058

9.  Loss of plasmacytoid dendritic cell differentiation is highly predictive for post-induction measurable residual disease and inferior outcomes in acute myeloid leukemia.

Authors:  Wenbin Xiao; Aaron D Goldberg; Christopher A Famulare; Sean M Devlin; Nghia T Nguyen; Sinnifer Sim; Charlene C Kabel; Minal A Patel; Erin M McGovern; Akshar Patel; Jessica Schulman; Andrew J Dunbar; Zachary D Epstein-Peterson; Kamal N Menghrajani; Bartlomiej M Getta; Sheng F Cai; Mark B Geyer; Jacob L Glass; Justin Taylor; Aaron D Viny; Ross L Levine; Yanming Zhang; Sergio A Giralt; Virginia Klimek; Martin S Tallman; Mikhail Roshal
Journal:  Haematologica       Date:  2018-12-06       Impact factor: 9.941

10.  Dyserythropoiesis evaluated by the RED score and hepcidin:ferritin ratio predicts response to erythropoietin in lower-risk myelodysplastic syndromes.

Authors:  Sophie Park; Olivier Kosmider; Frédéric Maloisel; Bernard Drenou; Nicolas Chapuis; Thibaud Lefebvre; Zoubida Karim; Hervé Puy; Anne Sophie Alary; Sarah Ducamp; Frédérique Verdier; Cécile Bouilloux; Alice Rousseau; Marie-Christine Jacob; Agathe Debliquis; Agnes Charpentier; Emmanuel Gyan; Bruno Anglaret; Cecile Leyronnas; Selim Corm; Borhane Slama; Stephane Cheze; Kamel Laribi; Shanti Amé; Christian Rose; Florence Lachenal; Andrea Toma; Gian Matteo Pica; Martin Carre; Frédéric Garban; Clara Mariette; Jean-Yves Cahn; Mathieu Meunier; Olivier Herault; Pierre Fenaux; Orianne Wagner-Ballon; Valerie Bardet; Francois Dreyfus; Michaela Fontenay
Journal:  Haematologica       Date:  2018-10-04       Impact factor: 9.941

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