Literature DB >> 22526362

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

Anita Chopra1, Haraprasad Pati, Manoranjan Mahapatra, Pravas Mishra, Tulika Seth, Suman Kumar, Saroj Singh, Sangita Pandey, Rajive Kumar.   

Abstract

Flow cytometry (FCM) is being increasingly evaluated for the diagnosis of myelodysplastic syndrome (MDS). We employed multiple FCM approaches to assess MDS. Five-color FCM, morphology blind, was done on bone marrow aspirates of 57 suspected MDS and 31 normal controls. Maturation pattern, quantitative FCM for low-grade MDS that awards FCM score, and expression of selected antigens on erythroid cells and CD34(+) blasts were evaluated. FCM results were correlated with clinical and laboratory workup. Patients (n = 57) included proven MDS (n = 14), suspected MDS (n = 13), and non-MDS (n = 30). By pattern-based approach, all proven cases were FCM positive. In suspected MDS, 11 (84.61 %) were positive including morphology-negative cases, and two (15.38 %) were intermediate. In non-MDS cases, 27 of 30 (90 %) were FCM negative, 2 of 30 (6.67 %) intermediate, and 1 of 30 (3.33 %) a hematinic-responsive case, positive. Quantitative parameters that characterized MDS included FCM score of >3, percentage CD34(+) B cells, and expression of CD11b, CD15, and CD56 on myeloblasts. CD71 MFI on CD235a(+) erythroblasts and CD38 MFI on myeloblasts were significantly lower in MDS. The former was present in FCM-intermediate suspected MDS but not FCM-intermediate non-MDS cases. Used in the overall clinical context, both maturation pattern recognition and quantitative approaches, the latter for low-grade MDS, are sensitive methods of diagnosing MDS, including cases negative by morphology and cytogenetics, especially if combined with evaluation of selected antigens, CD71 on CD235a(+) cells and CD38 on CD34(+) cells. The value of FCM in morphology-negative cases needs better definition of specificity through more extensive evaluation of secondary dyspoiesis.

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Year:  2012        PMID: 22526362     DOI: 10.1007/s00277-012-1461-y

Source DB:  PubMed          Journal:  Ann Hematol        ISSN: 0939-5555            Impact factor:   3.673


  6 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.  A Prospective, Cross Sectional Study of PNH Clone in MDS Patients Using High Sensitivity Flowcytometry: A Single Center Experience.

Authors:  Faran Naim; Amrita Saraf; Jasmita Dass; Vandana Arya; Sabina Langer; Nitin Gupta; Ajay Sharma; Jyoti Kotwal
Journal:  Indian J Hematol Blood Transfus       Date:  2019-10-24       Impact factor: 0.900

3.  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

4.  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

5.  Utility of a Single-Tube, Six-Color Flow Cytometry Panel for the Diagnosis of Myelodysplastic Syndrome: Experience of a Tertiary Care Centre in India.

Authors:  R Gupta; K Rahman; M K Singh; S Kumari; G Yadav; S Nityanand
Journal:  Int J Hematol Oncol Stem Cell Res       Date:  2018-01-01

6.  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

  6 in total

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