Literature DB >> 26122389

Is There a Role for Flow Cytometry in the Evaluation of Patients With Myelodysplastic Syndromes?

Anna Porwit1.   

Abstract

This review focuses on the most recent literature concerning flow cytometry (FCM) application for diagnosis of myelodysplastic syndrome (MDS). Aberrant FCM results have been defined as abnormalities in at least three tested features comprising at least two bone marrow (BM) cell compartments. FCM results should be interpreted together with the BM smear cytology, the morphological assessment of BM biopsy, and cytogenetic results. Including FCM in the pre-treatment assessment may provide not only diagnostic but also prognostic information. Further studies are needed to evaluate the role of FCM in individual risk assessment for MDS patients and in therapy choice and/or follow-up.

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Year:  2015        PMID: 26122389     DOI: 10.1007/s11899-015-0272-3

Source DB:  PubMed          Journal:  Curr Hematol Malig Rep        ISSN: 1558-8211            Impact factor:   3.952


  75 in total

1.  Immunophenotypic differentiation patterns of normal hematopoiesis in human bone marrow: reference patterns for age-related changes and disease-induced shifts.

Authors:  E G van Lochem; V H J van der Velden; H K Wind; J G te Marvelde; N A C Westerdaal; J J M van Dongen
Journal:  Cytometry B Clin Cytom       Date:  2004-07       Impact factor: 3.058

2.  Altered immunophenotypic features of peripheral blood platelets in myelodysplastic syndromes.

Authors:  Alex F Sandes; Mihoko Yamamoto; Sergio Matarraz; Maria de Lourdes L F Chauffaille; Sandra Quijano; Antonio López; Tsutomu Oguro; Eliza Y S Kimura; Alberto Orfao
Journal:  Haematologica       Date:  2012-01-22       Impact factor: 9.941

3.  Regulatory T cells and progenitor B cells are independent prognostic predictors in lower risk myelodysplastic syndromes.

Authors:  Josephine D Kahn; Martine E D Chamuleau; Theresa M Westers; Peter M Van de Ven; Linda van Dreunen; Margot van Spronsen; Gert J Ossenkoppele; Arjan A van de Loosdrecht
Journal:  Haematologica       Date:  2015-03-06       Impact factor: 9.941

4.  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

5.  Differences in blast immunophenotypes among disease types in myelodysplastic syndromes: a multicenter validation study.

Authors:  Kiyoyuki Ogata; Keiji Kakumoto; Akira Matsuda; Kaoru Tohyama; Hideto Tamura; Yasunori Ueda; Mineo Kurokawa; Jin Takeuchi; Hirohiko Shibayama; Nobuhiko Emi; Toshiko Motoji; Yoshihide Miyazaki; Hiroya Tamaki; Kinuko Mitani; Tomoki Naoe; Haruo Sugiyama; Fumimaro Takaku
Journal:  Leuk Res       Date:  2012-06-07       Impact factor: 3.156

6.  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

7.  Bone marrow dendritic cells are reduced in patients with high-risk myelodysplastic syndromes.

Authors:  Leonie Saft; Elisabet Björklund; Elisabeth Berg; Eva Hellström-Lindberg; Anna Porwit
Journal:  Leuk Res       Date:  2012-11-13       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

Review 9.  Standards and impact of hematopathology in myelodysplastic syndromes (MDS).

Authors:  Peter Valent; Attilio Orazi; Guntram Büsche; Annette Schmitt-Gräff; Tracy I George; Karl Sotlar; Berthold Streubel; Christine Beham-Schmid; Sabine Cerny-Reiterer; Otto Krieger; Arjan van de Loosdrecht; Wolfgang Kern; Kiyoyuki Ogata; Friedrich Wimazal; Judit Várkonyi; Wolfgang R Sperr; Martin Werner; Hans Kreipe; Hans-Peter Horny
Journal:  Oncotarget       Date:  2010-11

10.  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

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  1 in total

Review 1.  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

  1 in total

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