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  • Porwit, AnnaLund University,Lunds universitet,Patologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Pathology, Lund,Section V,Department of Clinical Sciences, Lund,Faculty of Medicine (author)

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

  • Article/chapterEnglish2023

Publisher, publication year, extent ...

  • 2022-12-20
  • Wiley,2023

Numbers

  • LIBRIS-ID:oai:lup.lub.lu.se:c05e54a8-1313-433c-b3ba-f9538abc0b1a
  • https://lup.lub.lu.se/record/c05e54a8-1313-433c-b3ba-f9538abc0b1aURI
  • https://doi.org/10.1002/cyto.b.22108DOI
  • http://kipublications.ki.se/Default.aspx?queryparsed=id:151467501URI

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  • Language:English
  • Summary in:English

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  • Subject category:for swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • 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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  • Béné, Marie C.Nantes University Hospital (author)
  • Duetz, CarolienAmsterdam UMC - Vrije Universiteit Amsterdam (author)
  • Matarraz, SergioUniversity of Salamanca (author)
  • Oelschlaegel, UtaUniversity Clinic Carl Gustav Carus at the TU Dresden (author)
  • Westers, Theresia M.Amsterdam UMC - Vrije Universiteit Amsterdam (author)
  • Wagner-Ballon, OrianneUniversity Paris-Est Créteil,Henri Mondor Hospital (author)
  • Kordasti, ShahramKing's College London (author)
  • Valent, PeterMedical University of Vienna (author)
  • Preijers, FrankRadboud University Medical Center (author)
  • Alhan, CananAmsterdam UMC - Vrije Universiteit Amsterdam (author)
  • Bellos, FraukeMunich Leukemia Laboratory (MLL) (author)
  • Bettelheim, PeterElisabethinen Hospital Linz (author)
  • Burbury, KateUniversity of Melbourne (author)
  • Chapuis, NicolasAssistance Publique des Hôpitaux de Paris,Institut Cochin (author)
  • Cremers, ElineMaastricht University Medical Centre (author)
  • Della Porta, Matteo G.Humanitas Research Hospital,Humanitas University (author)
  • Dunlop, AlanRoyal Marsden Hospital, London (author)
  • Eidenschink-Brodersen, LisaHematologics Inc. (author)
  • Font, PatriciaHospital Gregorio Maranon (author)
  • Fontenay, MichaelaAssistance Publique des Hôpitaux de Paris,Institut Cochin (author)
  • Hobo, WillemijnMedical University of Vienna (author)
  • Ireland, RobinKing's College Hospital (author)
  • Johansson, UlrikaUniversity Hospitals Bristol NHS Foundation Trust (author)
  • Loken, Michael R.Hematologics Inc. (author)
  • Ogata, KiyoyukiMetropolitan Research Center for Blood Disorders MRC JAPAN (author)
  • Orfao, AlbertoUniversity of Salamanca (author)
  • Psarra, KatherinaEvangelismos Athens General Hospital (author)
  • Saft, LeonieKarolinska Institutet (author)
  • Subira, DoloresHospital Universitario de Guadalajara (author)
  • te Marvelde, JeroenErasmus University Medical Center (author)
  • Wells, Denise A.Hematologics Inc. (author)
  • van der Velden, Vincent H.J.Erasmus University Medical Center (author)
  • Kern, WolfgangMunich Leukemia Laboratory (MLL) (author)
  • van de Loosdrecht, Arjan A.Amsterdam UMC - Vrije Universiteit Amsterdam (author)
  • Patologi, LundSektion V (creator_code:org_t)

Related titles

  • In:Cytometry Part B - Clinical Cytometry: Wiley104:1, s. 27-501552-49491552-4957

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