Literature DB >> 25637056

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.

Valérie Bardet1, Orianne Wagner-Ballon2, Julien Guy3, Céline Morvan4, Camille Debord1, Franck Trimoreau4, Emmanuel Benayoun2, Nicolas Chapuis1, Nicolas Freynet2, Cédric Rossi3, Stéphanie Mathis1, Marie-Pierre Gourin5, Andréa Toma6, Marie C Béné7, Jean Feuillard4, Estelle Guérin8.   

Abstract

Although numerous recent publications have demonstrated interest in multiparameter flow cytometry in the investigation of myelodysplastic disorders, it is perceived by many laboratory hematologists as difficult and expensive, requiring a high level of expertise. We report a multicentric open real-life study aimed at evaluating the added value of the technically simple flow cytometry score described by the Ogata group for the diagnosis of myelodysplastic syndromes. A total of 652 patients were recruited prospectively in four different centers: 346 myelodysplastic syndromes, 53 myelodysplastic/myeloproliferative neoplasms, and 253 controls. The Ogata score was assessed using CD45 and CD34 staining, with the addition of CD10 and CD19. Moreover, labeling of CD5, CD7 and CD56 for the evaluation of myeloid progenitors and monocytes was tested on a subset of 294 patients. On the whole series, the specificity of Ogata score reached 89%. Respective sensitivities were 54% for low-risk myelodysplastic syndromes, 68% and 84% for type 1 and type 2 refractory anemia with excess of blasts, and 72% for myelodysplastic/myeloproliferative neoplasms. CD5 expression was poorly informative. When adding CD56 or CD7 labeling to the Ogata score, sensitivity rose to 66% for low-risk myelodysplastic syndromes, to 89% for myelodysplastic/myeloproliferative neoplasms and to 97% for refractory anemia with excess of blasts. This large multicenter study confirms the feasibility of Ogata scoring in routine flow cytometry diagnosis but highlights its poor sensitivity in low-risk myelodysplastic syndromes. The addition of CD7 and CD56 in flow cytometry panels improves the sensitivity but more sophisticated panels would be more informative. Copyright© Ferrata Storti Foundation.

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Year:  2015        PMID: 25637056      PMCID: PMC4380720          DOI: 10.3324/haematol.2014.112755

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


  27 in total

1.  Clinical utility of multiparameter flow cytometry in the diagnosis of 1013 patients with suspected myelodysplastic syndrome: correlation to cytomorphology, cytogenetics, and clinical data.

Authors:  Wolfgang Kern; Claudia Haferlach; Susanne Schnittger; Torsten Haferlach
Journal:  Cancer       Date:  2010-10-01       Impact factor: 6.860

2.  Diagnostic utility of flow cytometric immunophenotyping in myelodysplastic syndrome.

Authors:  M Stetler-Stevenson; D C Arthur; N Jabbour; X Y Xie; J Molldrem; A J Barrett; D Venzon; M E Rick
Journal:  Blood       Date:  2001-08-15       Impact factor: 22.113

3.  Flow cytometry evaluation of erythroid and myeloid dysplasia in patients with myelodysplastic syndrome.

Authors:  L Malcovati; M G Della Porta; M Lunghi; C Pascutto; L Vanelli; E Travaglino; M Maffioli; P Bernasconi; M Lazzarino; R Invernizzi; M Cazzola
Journal:  Leukemia       Date:  2005-05       Impact factor: 11.528

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

5.  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

6.  Myeloid and monocytic dyspoiesis as determined by flow cytometric scoring in myelodysplastic syndrome correlates with the IPSS and with outcome after hematopoietic stem cell transplantation.

Authors:  Denise A Wells; Martin Benesch; Michael R Loken; Carlos Vallejo; David Myerson; Wendy M Leisenring; H Joachim Deeg
Journal:  Blood       Date:  2003-03-20       Impact factor: 22.113

7.  Validation of a flow cytometric scoring system as a prognostic indicator for posttransplantation outcome in patients with myelodysplastic syndrome.

Authors:  Bart L Scott; Denise A Wells; Michael R Loken; David Myerson; Wendy M Leisenring; H Joachim Deeg
Journal:  Blood       Date:  2008-07-07       Impact factor: 22.113

Review 8.  The genetic basis of myelodysplasia and its clinical relevance.

Authors:  Mario Cazzola; Matteo G Della Porta; Luca Malcovati
Journal:  Blood       Date:  2013-10-17       Impact factor: 22.113

9.  Impact of immunophenotype on prognosis of patients with myelodysplastic syndromes. Its value in patients without karyotypic abnormalities.

Authors:  Jose Luis Arroyo; Ma Eugenia Fernández; Jesús Maria Hernández; Alberto Orfao; Jesús Fernando San Miguel; Maria Consuelo del Cañizo
Journal:  Hematol J       Date:  2004

10.  Flow cytometry evaluation of erythroid dysplasia in patients with myelodysplastic syndrome.

Authors:  M G Della Porta; L Malcovati; R Invernizzi; E Travaglino; C Pascutto; M Maffioli; A Gallì; S Boggi; D Pietra; L Vanelli; C Marseglia; S Levi; P Arosio; M Lazzarino; M Cazzola
Journal:  Leukemia       Date:  2006-04       Impact factor: 11.528

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  10 in total

Review 1.  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

2.  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

3.  Clonal architecture of del(5q) myelodysplastic syndromes: aberrant CD5 or CD7 expression within the myeloid progenitor compartment defines a subset with high clonal burden.

Authors:  U Oelschlaegel; M Alexander Röhnert; B Mohr; K Sockel; S Herold; G Ehninger; M Bornhäuser; C Thiede; U Platzbecker
Journal:  Leukemia       Date:  2015-06-24       Impact factor: 11.528

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.  Role of Minimal (Measurable) Residual Disease Assessment in Older Patients with Acute Myeloid Leukemia.

Authors:  Francesco Buccisano; Richard Dillon; Sylvie D Freeman; Adriano Venditti
Journal:  Cancers (Basel)       Date:  2018-06-26       Impact factor: 6.639

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

Authors:  Sara Maj Hyldig Matzen; Klas Kræsten Raaschou-Jensen; Klaus Kallenbach
Journal:  Health Sci Rep       Date:  2018-09-26

7.  Myelodysplastic syndrome: validation of flow cytometry multilineage score system.

Authors:  Helena Varela de Araújo; Rodolfo Patussi Correia; Laiz Cameirão Bento; Andressa da Costa Vaz; Flávia Arandas de Sousa; Anderson Marega Alexandre; Daniela Schimidell; Eduardo de Carvalho Pedro; Márcia Regina Ioshida; Rodrigo de Souza Barroso; Nydia Strachman Bacal
Journal:  Einstein (Sao Paulo)       Date:  2020-01-27

Review 8.  Diagnosis of Myelodysplastic Syndromes: From Immunological Observations to Clinical Applications.

Authors:  Yannick Simoni; Nicolas Chapuis
Journal:  Diagnostics (Basel)       Date:  2022-07-07

Review 9.  Diagnostic Utility of Flow Cytometry in Myelodysplastic Syndromes.

Authors:  Carmen Mariana Aanei; Tiphanie Picot; Emmanuelle Tavernier; Denis Guyotat; Lydia Campos Catafal
Journal:  Front Oncol       Date:  2016-06-27       Impact factor: 6.244

10.  Evaluation of multiparametric flow cytometry in diagnosis & prognosis of myelodysplastic syndrome in India.

Authors:  Gaurav Dhingra; Jasmita Dass; Vandana Arya; Nitin Gupta; Amrita Saraf; Sabina Langer; Shyam Aggarwal; Jyoti Kotwal; Manorama Bhargava
Journal:  Indian J Med Res       Date:  2020-09       Impact factor: 2.375

  10 in total

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