Literature DB >> 27658438

Implementation of erythroid lineage analysis by flow cytometry in diagnostic models for myelodysplastic syndromes.

Eline M P Cremers1, Theresia M Westers1, Canan Alhan1, Claudia Cali1, Heleen A Visser-Wisselaar2, Dana A Chitu2, Vincent H J van der Velden3, Jeroen G Te Marvelde3, Saskia K Klein4, Petra Muus5, Edo Vellenga6, Georgina E de Greef7, Marie-Cecile C J C Legdeur8, Pierre W Wijermans9, Marian J P L Stevens-Kroef10, Pedro da Silva-Coelho11, Joop H Jansen11, Gert J Ossenkoppele1, Arjan A van de Loosdrecht12.   

Abstract

Flow cytometric analysis is a recommended tool in the diagnosis of myelodysplastic syndromes. Current flow cytometric approaches evaluate the (im)mature myelo-/monocytic lineage with a median sensitivity and specificity of ~71% and ~93%, respectively. We hypothesized that the addition of erythroid lineage analysis could increase the sensitivity of flow cytometry. Hereto, we validated the analysis of erythroid lineage parameters recommended by the International/European LeukemiaNet Working Group for Flow Cytometry in Myelodysplastic Syndromes, and incorporated this evaluation in currently applied flow cytometric models. One hundred and sixty-seven bone marrow aspirates were analyzed; 106 patients with myelodysplastic syndromes, and 61 cytopenic controls. There was a strong correlation between presence of erythroid aberrancies assessed by flow cytometry and the diagnosis of myelodysplastic syndromes when validating the previously described erythroid evaluation. Furthermore, addition of erythroid aberrancies to two different flow cytometric models led to an increased sensitivity in detecting myelodysplastic syndromes: from 74% to 86% for the addition to the diagnostic score designed by Ogata and colleagues, and from 69% to 80% for the addition to the integrated flow cytometric score for myelodysplastic syndromes, designed by our group. In both models the specificity was unaffected. The high sensitivity and specificity of flow cytometry in the detection of myelodysplastic syndromes illustrates the important value of flow cytometry in a standardized diagnostic approach. The trial is registered at www.trialregister.nl as NTR1825; EudraCT n.: 2008-002195-10. Copyright© Ferrata Storti Foundation.

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Year:  2016        PMID: 27658438      PMCID: PMC5286939          DOI: 10.3324/haematol.2016.147843

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


  31 in total

1.  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

2.  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

3.  Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence.

Authors:  Giulio Genovese; Anna K Kähler; Robert E Handsaker; Johan Lindberg; Samuel A Rose; Samuel F Bakhoum; Kimberly Chambert; Eran Mick; Benjamin M Neale; Menachem Fromer; Shaun M Purcell; Oscar Svantesson; Mikael Landén; Martin Höglund; Sören Lehmann; Stacey B Gabriel; Jennifer L Moran; Eric S Lander; Patrick F Sullivan; Pamela Sklar; Henrik Grönberg; Christina M Hultman; Steven A McCarroll
Journal:  N Engl J Med       Date:  2014-11-26       Impact factor: 91.245

4.  Flow cytometry in myelodysplastic syndrome: analysis of diagnostic utility using maturation pattern-based and quantitative approaches.

Authors:  Anita Chopra; Haraprasad Pati; Manoranjan Mahapatra; Pravas Mishra; Tulika Seth; Suman Kumar; Saroj Singh; Sangita Pandey; Rajive Kumar
Journal:  Ann Hematol       Date:  2012-04-21       Impact factor: 3.673

Review 5.  The World Health Organization (WHO) classification of the myeloid neoplasms.

Authors:  James W Vardiman; Nancy Lee Harris; Richard D Brunning
Journal:  Blood       Date:  2002-10-01       Impact factor: 22.113

Review 6.  The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes.

Authors:  James W Vardiman; Jüergen Thiele; Daniel A Arber; Richard D Brunning; Michael J Borowitz; Anna Porwit; Nancy Lee Harris; Michelle M Le Beau; Eva Hellström-Lindberg; Ayalew Tefferi; Clara D Bloomfield
Journal:  Blood       Date:  2009-04-08       Impact factor: 22.113

7.  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

8.  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

9.  Clinical and biological implications of driver mutations in myelodysplastic syndromes.

Authors:  Elli Papaemmanuil; Moritz Gerstung; Luca Malcovati; Sudhir Tauro; Gunes Gundem; Peter Van Loo; Chris J Yoon; Peter Ellis; David C Wedge; Andrea Pellagatti; Adam Shlien; Michael John Groves; Simon A Forbes; Keiran Raine; Jon Hinton; Laura J Mudie; Stuart McLaren; Claire Hardy; Calli Latimer; Matteo G Della Porta; Sarah O'Meara; Ilaria Ambaglio; Anna Galli; Adam P Butler; Gunilla Walldin; Jon W Teague; Lynn Quek; Alex Sternberg; Carlo Gambacorti-Passerini; Nicholas C P Cross; Anthony R Green; Jacqueline Boultwood; Paresh Vyas; Eva Hellstrom-Lindberg; David Bowen; Mario Cazzola; Michael R Stratton; Peter J Campbell
Journal:  Blood       Date:  2013-09-12       Impact factor: 22.113

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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  10 in total

1.  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

2.  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

3.  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 4.  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 5.  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

6.  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

7.  Diagnosis and Treatment of Chronic Myelomonocytic Leukemias in Adults: Recommendations From the European Hematology Association and the European LeukemiaNet.

Authors:  Raphael Itzykson; Pierre Fenaux; David Bowen; Nicholas C P Cross; Jorge Cortes; Theo De Witte; Ulrich Germing; Francesco Onida; Eric Padron; Uwe Platzbecker; Valeria Santini; Guillermo F Sanz; Eric Solary; Arjan Van de Loosdrecht; Luca Malcovati
Journal:  Hemasphere       Date:  2018-11-29

Review 8.  Machine Learning and Deep Learning Applications in Multiple Myeloma Diagnosis, Prognosis, and Treatment Selection.

Authors:  Alessandro Allegra; Alessandro Tonacci; Raffaele Sciaccotta; Sara Genovese; Caterina Musolino; Giovanni Pioggia; Sebastiano Gangemi
Journal:  Cancers (Basel)       Date:  2022-01-25       Impact factor: 6.639

Review 9.  Myelodysplastic Syndrome: Diagnosis and Screening.

Authors:  Francisco P Tria; Daphne C Ang; Guang Fan
Journal:  Diagnostics (Basel)       Date:  2022-06-29

10.  Abnormal CD13/HLA-DR Expression Pattern on Myeloblasts Predicts Development of Myeloid Neoplasia in Patients With Clonal Cytopenia of Undetermined Significance.

Authors:  Dragan Jevremovic; Ahmad Nanaa; Susan M Geyer; Michael Timm; Haya Azouz; Cynthia Hengel; Alexander Reberg; Rong He; David Viswanatha; Mohamad E Salama; Min Shi; Horatiu Olteanu; Pedro Horna; Gregory Otteson; Patricia T Greipp; Zhuoer Xie; Hassan B Alkhateeb; William Hogan; Mark Litzow; Mrinal M Patnaik; Mithun Shah; Aref Al-Kali; Phuong L Nguyen
Journal:  Am J Clin Pathol       Date:  2022-10-06       Impact factor: 5.400

  10 in total

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