Literature DB >> 22964615

A combination of CD15/CD10, CD64/CD33, CD16/CD13 or CD11b flow cytometric granulocyte panels is sensitive and specific for diagnosis of myelodysplastic syndrome.

Jae-Woo Chung1, Chan-Jeoung Park, Choong-Hwan Cha, Young-Uk Cho, Seongsoo Jang, Hyun-Sook Chi, Eul-Ju Seo, Jung-Hee Lee, Je-Hwan Lee, Kyoo-Hyung Lee, Ho Joon Im, Jong-Jin Seo.   

Abstract

Flow cytometry (FCM) is a reproducible and objective technique that may be useful in the diagnosis of myelodysplastic syndrome (MDS) by detecting abnormal immunophenotypes specific to MDS. We investigated 5 granulocyte/monocyte panels by FCM to find a sensitive and specific combination of panels in order to discriminate MDS from non-clonal hematologic disorders. Bone marrow aspirates from 35 patients with MDS and 25 patients with non-clonal hematologic disorders were studied. We performed FCM using 5 granulocyte/monocyte panels (CD15/CD10/CD45, CD64/CD33/CD45, CD16/CD13/CD45, CD16/CD11b/CD45, and CD56/CD19/CD7/CD45) to examine the positive rate in MDS and controls, and to find an optimal combination that maximizes the detection rate of MDS. In MDS, the number of abnormal immunophenotypes per 5 granulocytic and 5 monocytic panels were 2.1 ± 1.2 and 2.2 ± 1.4. The rates were higher than the controls (P< 0.001, respectively). As the number of employed panels increased, the percent values of abnormal immunophenotypes increased (P=0.002). The maximum rate of abnormal immunophenotype was 89.7% in MDS patients, especially 100.0% in normal karyotype, when a combination of three panels, CD15/CD10/CD45, CD64/CD33/CD45, and either CD16/CD13/CD45 or CD16/CD11b/CD45 was used. This study demonstrates that a combination of CD15/CD10, CD64/CD33, CD16/CD13 or CD11b granulocyte panels in FCM is sensitive and specific for diagnosis of MDS.

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Year:  2012        PMID: 22964615

Source DB:  PubMed          Journal:  Ann Clin Lab Sci        ISSN: 0091-7370            Impact factor:   1.256


  6 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

2.  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

3.  Multiplexed single-cell morphometry for hematopathology diagnostics.

Authors:  Albert G Tsai; David R Glass; Marisa Juntilla; Felix J Hartmann; Jean S Oak; Sebastian Fernandez-Pol; Robert S Ohgami; Sean C Bendall
Journal:  Nat Med       Date:  2020-03-11       Impact factor: 53.440

4.  Correlation between CD64 and PCT levels in cerebrospinal fluid and degree of hearing impairment sequelae in neonates with purulent meningitis.

Authors:  Cui Liu; Dongchi Zhao
Journal:  Exp Ther Med       Date:  2017-10-10       Impact factor: 2.447

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.  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
  6 in total

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