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Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues: Recommendations from the European LeukemiaNet/International Myelodysplastic Syndrome Flow Cytometry Working Group

Multiparameter flow cytometry (MFC) is one of the essential ancillary methods in bone marrow (BM) investigation of patients with cytopenia and suspected myelodysplastic syndrome (MDS). MFC can also be applied in the follow‐up of MDS patients undergoing treatment. This document summarizes recommendat...

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Autores principales: Porwit, Anna, Béné, Marie C., Duetz, Carolien, Matarraz, Sergio, Oelschlaegel, Uta, Westers, Theresia M., Wagner‐Ballon, Orianne, Kordasti, Shahram, Valent, Peter, Preijers, Frank, Alhan, Canan, Bellos, Frauke, Bettelheim, Peter, Burbury, Kate, Chapuis, Nicolas, Cremers, Eline, Della Porta, Matteo G., Dunlop, Alan, Eidenschink‐Brodersen, Lisa, Font, Patricia, Fontenay, Michaela, Hobo, Willemijn, Ireland, Robin, Johansson, Ulrika, Loken, Michael R., Ogata, Kiyoyuki, Orfao, Alberto, Psarra, Katherina, Saft, Leonie, Subira, Dolores, te Marvelde, Jeroen, Wells, Denise A., van der Velden, Vincent H. J., Kern, Wolfgang, van de Loosdrecht, Arjan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107708/
https://www.ncbi.nlm.nih.gov/pubmed/36537621
http://dx.doi.org/10.1002/cyto.b.22108
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author Porwit, Anna
Béné, Marie C.
Duetz, Carolien
Matarraz, Sergio
Oelschlaegel, Uta
Westers, Theresia M.
Wagner‐Ballon, Orianne
Kordasti, Shahram
Valent, Peter
Preijers, Frank
Alhan, Canan
Bellos, Frauke
Bettelheim, Peter
Burbury, Kate
Chapuis, Nicolas
Cremers, Eline
Della Porta, Matteo G.
Dunlop, Alan
Eidenschink‐Brodersen, Lisa
Font, Patricia
Fontenay, Michaela
Hobo, Willemijn
Ireland, Robin
Johansson, Ulrika
Loken, Michael R.
Ogata, Kiyoyuki
Orfao, Alberto
Psarra, Katherina
Saft, Leonie
Subira, Dolores
te Marvelde, Jeroen
Wells, Denise A.
van der Velden, Vincent H. J.
Kern, Wolfgang
van de Loosdrecht, Arjan A.
author_facet Porwit, Anna
Béné, Marie C.
Duetz, Carolien
Matarraz, Sergio
Oelschlaegel, Uta
Westers, Theresia M.
Wagner‐Ballon, Orianne
Kordasti, Shahram
Valent, Peter
Preijers, Frank
Alhan, Canan
Bellos, Frauke
Bettelheim, Peter
Burbury, Kate
Chapuis, Nicolas
Cremers, Eline
Della Porta, Matteo G.
Dunlop, Alan
Eidenschink‐Brodersen, Lisa
Font, Patricia
Fontenay, Michaela
Hobo, Willemijn
Ireland, Robin
Johansson, Ulrika
Loken, Michael R.
Ogata, Kiyoyuki
Orfao, Alberto
Psarra, Katherina
Saft, Leonie
Subira, Dolores
te Marvelde, Jeroen
Wells, Denise A.
van der Velden, Vincent H. J.
Kern, Wolfgang
van de Loosdrecht, Arjan A.
author_sort Porwit, Anna
collection PubMed
description Multiparameter flow cytometry (MFC) is one of the essential ancillary methods in bone marrow (BM) investigation of patients with cytopenia and suspected myelodysplastic syndrome (MDS). MFC can also be applied in the follow‐up of MDS patients undergoing treatment. This document summarizes recommendations from the International/European Leukemia Net Working Group for Flow Cytometry in Myelodysplastic Syndromes (ELN iMDS Flow) on the analytical issues in MFC for the diagnostic work‐up of MDS. Recommendations for the analysis of several BM cell subsets such as myeloid precursors, maturing granulocytic and monocytic components and erythropoiesis are given. A core set of 17 markers identified as independently related to a cytomorphologic diagnosis of myelodysplasia is suggested as mandatory for MFC evaluation of BM in a patient with cytopenia. A myeloid precursor cell (CD34(+)CD19(−)) count >3% should be considered immunophenotypically indicative of myelodysplasia. However, MFC results should always be evaluated as part of an integrated hematopathology work‐up. Looking forward, several machine‐learning‐based analytical tools of interest should be applied in parallel to conventional analytical methods to investigate their usefulness in integrated diagnostics, risk stratification, and potentially even in the evaluation of response to therapy, based on MFC data. In addition, compiling large uniform datasets is desirable, as most of the machine‐learning‐based methods tend to perform better with larger numbers of investigated samples, especially in such a heterogeneous disease as MDS.
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spelling pubmed-101077082023-04-18 Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues: Recommendations from the European LeukemiaNet/International Myelodysplastic Syndrome Flow Cytometry Working Group Porwit, Anna Béné, Marie C. Duetz, Carolien Matarraz, Sergio Oelschlaegel, Uta Westers, Theresia M. Wagner‐Ballon, Orianne Kordasti, Shahram Valent, Peter Preijers, Frank Alhan, Canan Bellos, Frauke Bettelheim, Peter Burbury, Kate Chapuis, Nicolas Cremers, Eline Della Porta, Matteo G. Dunlop, Alan Eidenschink‐Brodersen, Lisa Font, Patricia Fontenay, Michaela Hobo, Willemijn Ireland, Robin Johansson, Ulrika Loken, Michael R. Ogata, Kiyoyuki Orfao, Alberto Psarra, Katherina Saft, Leonie Subira, Dolores te Marvelde, Jeroen Wells, Denise A. van der Velden, Vincent H. J. Kern, Wolfgang van de Loosdrecht, Arjan A. Cytometry B Clin Cytom Review Article Multiparameter flow cytometry (MFC) is one of the essential ancillary methods in bone marrow (BM) investigation of patients with cytopenia and suspected myelodysplastic syndrome (MDS). MFC can also be applied in the follow‐up of MDS patients undergoing treatment. This document summarizes recommendations from the International/European Leukemia Net Working Group for Flow Cytometry in Myelodysplastic Syndromes (ELN iMDS Flow) on the analytical issues in MFC for the diagnostic work‐up of MDS. Recommendations for the analysis of several BM cell subsets such as myeloid precursors, maturing granulocytic and monocytic components and erythropoiesis are given. A core set of 17 markers identified as independently related to a cytomorphologic diagnosis of myelodysplasia is suggested as mandatory for MFC evaluation of BM in a patient with cytopenia. A myeloid precursor cell (CD34(+)CD19(−)) count >3% should be considered immunophenotypically indicative of myelodysplasia. However, MFC results should always be evaluated as part of an integrated hematopathology work‐up. Looking forward, several machine‐learning‐based analytical tools of interest should be applied in parallel to conventional analytical methods to investigate their usefulness in integrated diagnostics, risk stratification, and potentially even in the evaluation of response to therapy, based on MFC data. In addition, compiling large uniform datasets is desirable, as most of the machine‐learning‐based methods tend to perform better with larger numbers of investigated samples, especially in such a heterogeneous disease as MDS. John Wiley & Sons, Inc. 2022-12-20 2023-01 /pmc/articles/PMC10107708/ /pubmed/36537621 http://dx.doi.org/10.1002/cyto.b.22108 Text en © 2022 The Authors. Cytometry Part B: Clinical Cytometry published by Wiley Periodicals LLC on behalf of International Clinical Cytometry Society. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Review Article
Porwit, Anna
Béné, Marie C.
Duetz, Carolien
Matarraz, Sergio
Oelschlaegel, Uta
Westers, Theresia M.
Wagner‐Ballon, Orianne
Kordasti, Shahram
Valent, Peter
Preijers, Frank
Alhan, Canan
Bellos, Frauke
Bettelheim, Peter
Burbury, Kate
Chapuis, Nicolas
Cremers, Eline
Della Porta, Matteo G.
Dunlop, Alan
Eidenschink‐Brodersen, Lisa
Font, Patricia
Fontenay, Michaela
Hobo, Willemijn
Ireland, Robin
Johansson, Ulrika
Loken, Michael R.
Ogata, Kiyoyuki
Orfao, Alberto
Psarra, Katherina
Saft, Leonie
Subira, Dolores
te Marvelde, Jeroen
Wells, Denise A.
van der Velden, Vincent H. J.
Kern, Wolfgang
van de Loosdrecht, Arjan A.
Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues: Recommendations from the European LeukemiaNet/International Myelodysplastic Syndrome Flow Cytometry Working Group
title Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues: Recommendations from the European LeukemiaNet/International Myelodysplastic Syndrome Flow Cytometry Working Group
title_full Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues: Recommendations from the European LeukemiaNet/International Myelodysplastic Syndrome Flow Cytometry Working Group
title_fullStr Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues: Recommendations from the European LeukemiaNet/International Myelodysplastic Syndrome Flow Cytometry Working Group
title_full_unstemmed Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues: Recommendations from the European LeukemiaNet/International Myelodysplastic Syndrome Flow Cytometry Working Group
title_short Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues: Recommendations from the European LeukemiaNet/International Myelodysplastic Syndrome Flow Cytometry Working Group
title_sort multiparameter flow cytometry in the evaluation of myelodysplasia: analytical issues: recommendations from the european leukemianet/international myelodysplastic syndrome flow cytometry working group
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107708/
https://www.ncbi.nlm.nih.gov/pubmed/36537621
http://dx.doi.org/10.1002/cyto.b.22108
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