Literature DB >> 30369356

[Value of multiparameter flow cytometry in the diagnosis and prognostic evaluation of childhood myelodysplastic syndrome].

Chao Liu1, Wen-Bin An, Jing-Liao Zhang, Ran-Ran Zhang, Cong-Cong Sun, Li-Xian Chang, Tian-Feng Liu, Yao Zou, Hui-Jun Wang, Xiao-Fan Zhu.   

Abstract

OBJECTIVE: To investigate the value of multiparameter flow cytometry (MFC) and flow cytometric scoring system (FCSS) in the diagnosis and prognostic evaluation of childhood myelodysplastic syndrome (MDS).
METHODS: A retrospective analysis was performed for the clinical data of 42 children who were diagnosed with MDS. MFC was performed to investigate the phenotype and proportion of each lineage of bone marrow cells. The correlations of FCSS score with MDS type, International Prognostic Scoring System (IPSS) score, and revised IPSS (IPSS-R) score were analyzed.
RESULTS: Of all the 42 children, 20 (48%) had an increase in abnormal marrow blasts, 19 (45%) had a lymphoid/myeloid ratio of >1, 14 (33%) had abnormal cross-lineage expression of lymphoid antigens in myeloid cells, 8 (19%) had abnormal CD13/CD16 differentiation antigens, 5 (12%) had abnormal expression of CD56, 3 (7%) had reduced or increased side scatter of granulocytes, 3 (7%) had reduced expression of CD36 in nucleated red blood cells, 2 (5%) had reduced expression of CD71 in nucleated red blood cells, 1 (2%) had absent expression of CD33 in myeloid cells, 1 (2%) had reduced or absent expression of CD11b in granulocytes, and 1 (2%) had absent expression of CD56 and CD14 in monocytes. There were significant differences in the median overall survival time and event-free survival time among the low-, medium-, and high-risk FCSS groups (P<0.05). Among the low-, medium-, and high-risk FCSS groups, the low-risk FCSS group had the highest 2-year overall survival rate, while there was no significant difference between the medium- and high-risk FCSS groups (P>0.05). The three groups had a 2-year event-free survival rate of 95%, 60%, and 46% respectively (P<0.05). FCSS score was positively correlated with MDS type, IPSS score, and IPSS-R score (P<0.05).
CONCLUSIONS: MFC and FCSS help with the diagnosis and prognostic evaluation of childhood MDS.

Entities:  

Mesh:

Year:  2018        PMID: 30369356      PMCID: PMC7389052     

Source DB:  PubMed          Journal:  Zhongguo Dang Dai Er Ke Za Zhi        ISSN: 1008-8830


  12 in total

1.  [Chinese experts consensus statement on diagnosis and treatment of myelodysplastic syndromes in children, 2015].

Authors: 
Journal:  Zhonghua Er Ke Za Zhi       Date:  2015-11

Review 2.  Advances in the prognostication and management of advanced MDS in children.

Authors:  Henrik Hasle; Charlotte M Niemeyer
Journal:  Br J Haematol       Date:  2011-05-09       Impact factor: 6.998

3.  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

4.  Immunophenotypic clustering of myelodysplastic syndromes.

Authors:  Marc Maynadié; Françoise Picard; Bernard Husson; Bernard Chatelain; Yvan Cornet; Geneviève Le Roux; Lydia Campos; Alex Dromelet; Pascalle Lepelley; Hélène Jouault; Michèle Imbert; Michelle Rosenwadj; Véronique Vergé; Philippe Bissières; Martine Raphaël; Marie Christine Béné; Jean Feuillard
Journal:  Blood       Date:  2002-10-01       Impact factor: 22.113

5.  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

Review 6.  The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia.

Authors:  Daniel A Arber; Attilio Orazi; Robert Hasserjian; Jürgen Thiele; Michael J Borowitz; Michelle M Le Beau; Clara D Bloomfield; Mario Cazzola; James W Vardiman
Journal:  Blood       Date:  2016-04-11       Impact factor: 22.113

7.  Flow cytometric detection of dyserythropoiesis: a sensitive and powerful diagnostic tool for myelodysplastic syndromes.

Authors:  S Mathis; N Chapuis; C Debord; A Rouquette; I Radford-Weiss; S Park; F Dreyfus; C Lacombe; M C Béné; O Kosmider; M Fontenay; V Bardet
Journal:  Leukemia       Date:  2013-06-14       Impact factor: 11.528

Review 8.  Flow cytometric immunophenotyping for hematologic neoplasms.

Authors:  Fiona E Craig; Kenneth A Foon
Journal:  Blood       Date:  2008-01-15       Impact factor: 22.113

9.  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

10.  Diagnostic utility of flow cytometry in low-grade myelodysplastic syndromes: a prospective validation study.

Authors:  Kiyoyuki Ogata; Matteo G Della Porta; Luca Malcovati; Cristina Picone; Norio Yokose; Akira Matsuda; Taishi Yamashita; Hideto Tamura; Junichi Tsukada; Kazuo Dan
Journal:  Haematologica       Date:  2009-06-22       Impact factor: 9.941

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