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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.
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.
Afiliación
  • Porwit A; Division of Oncology and Pathology, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
  • Béné MC; Hematology Biology, Nantes University Hospital, CRCINA Inserm 1232, Nantes, France.
  • Duetz C; Department of Hematology, Amsterdam UMC, VU University Medical Center Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Matarraz S; Cancer Research Center (IBMCC-USAL/CSIC), Department of Medicine and Cytometry Service, Institute for Biomedical Research of Salamanca (IBSAL) and CIBERONC, University of Salamanca, Salamanca, Spain.
  • Oelschlaegel U; Department of Internal Medicine, University Hospital Carl-Gustav-Carus, TU Dresden, Dresden, Germany.
  • Westers TM; Department of Hematology, Amsterdam UMC, VU University Medical Center Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Wagner-Ballon O; Department of Hematology and Immunology, Assistance Publique-Hôpitaux de Paris, University Hospital Henri Mondor, Créteil, France.
  • Kordasti S; Inserm U955, Université Paris-Est Créteil, Créteil, France.
  • Valent P; Comprehensive Cancer Centre, King's College London, London, UK.
  • Preijers F; Department of Internal Medicine I, Division of Hematology & Hemostaseology and Ludwig Boltzmann Institute for Hematology and Oncology, Medical University of Vienna, Vienna, Austria.
  • Alhan C; Laboratory of Hematology, Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Bellos F; Department of Hematology, Amsterdam UMC, VU University Medical Center Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Bettelheim P; MLL Munich Leukemia Laboratory, Munich, Germany.
  • Burbury K; Department of Hematology, Ordensklinikum Linz, Elisabethinen, Linz, Austria.
  • Chapuis N; Department of Haematology, Peter MacCallum Cancer Centre, & University of Melbourne, Melbourne, Australia.
  • Cremers E; Laboratory of Hematology, Assistance Publique-Hôpitaux de Paris, Centre-Université de Paris, Cochin Hospital, Paris, France.
  • Della Porta MG; Institut Cochin, INSERM U1016, CNRS UMR, Université de Paris, Paris, France.
  • Dunlop A; Division of Hematology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Eidenschink-Brodersen L; IRCCS Humanitas Research Hospital, Milan, Italy.
  • Font P; Department of Biomedical Sciences, Humanitas University, Milan, Italy.
  • Fontenay M; Department of Haemato-Oncology, Royal Marsden Hospital, London, UK.
  • Hobo W; HematoLogics, Inc., Seattle, Washington, USA.
  • Ireland R; Department of Hematology, Hospital General Universitario Gregorio Marañon-IiSGM, Madrid, Spain.
  • Johansson U; Laboratory of Hematology, Assistance Publique-Hôpitaux de Paris, Centre-Université de Paris, Cochin Hospital, Paris, France.
  • Loken MR; Institut Cochin, INSERM U1016, CNRS UMR, Université de Paris, Paris, France.
  • Ogata K; Department of Internal Medicine I, Division of Hematology & Hemostaseology and Ludwig Boltzmann Institute for Hematology and Oncology, Medical University of Vienna, Vienna, Austria.
  • Orfao A; Department of Haematology and SE-HMDS, King's College Hospital NHS Foundation Trust, London, UK.
  • Psarra K; Laboratory Medicine, SI-HMDS, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
  • Saft L; HematoLogics, Inc., Seattle, Washington, USA.
  • Subira D; Metropolitan Research and Treatment Centre for Blood Disorders (MRTC Japan), Tokyo, Japan.
  • Te Marvelde J; Cancer Research Center (IBMCC-USAL/CSIC), Department of Medicine and Cytometry Service, Institute for Biomedical Research of Salamanca (IBSAL) and CIBERONC, University of Salamanca, Salamanca, Spain.
  • Wells DA; Department of Immunology - Histocompatibility, Evangelismos Hospital, Athens, Greece.
  • van der Velden VHJ; Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital and Institute Solna, Stockholm, Sweden.
  • Kern W; Department of Hematology, Flow Cytometry Unit, Hospital Universitario de Guadalajara, Guadalajara, Spain.
  • van de Loosdrecht AA; Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Cytometry B Clin Cytom ; 104(1): 27-50, 2023 01.
Article en En | MEDLINE | ID: mdl-36537621
ABSTRACT
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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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Síndromes Mielodisplásicos Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Cytometry B Clin Cytom Año: 2023 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Síndromes Mielodisplásicos Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Cytometry B Clin Cytom Año: 2023 Tipo del documento: Article País de afiliación: Suecia