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Porwit A, Béné MC, Duetz C, Matarraz S, Oelschlaegel U, Westers TM, Wagner-Ballon O, Kordasti S, Valent P, Preijers F, Alhan C, Bellos F, Bettelheim P, Burbury K, Chapuis N, Cremers E, Della Porta MG, Dunlop A, Eidenschink-Brodersen L, Font P, Fontenay M, Hobo W, Ireland R, Johansson U, Loken MR, Ogata K, Orfao A, Psarra K, Saft L, Subira D, Te Marvelde J, Wells DA, van der Velden VHJ, Kern W, van de Loosdrecht AA. Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues: Recommendations from the European LeukemiaNet/International Myelodysplastic Syndrome Flow Cytometry Working Group. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2023; 104:27-50. [PMID: 36537621 PMCID: PMC10107708 DOI: 10.1002/cyto.b.22108] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/20/2022] [Accepted: 11/29/2022] [Indexed: 01/18/2023]
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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Affiliation(s)
- Anna Porwit
- Division of Oncology and Pathology, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
| | - Marie C Béné
- Hematology Biology, Nantes University Hospital, CRCINA Inserm 1232, Nantes, France
| | - Carolien Duetz
- Department of Hematology, Amsterdam UMC, VU University Medical Center Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Sergio Matarraz
- 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
| | - Uta Oelschlaegel
- Department of Internal Medicine, University Hospital Carl-Gustav-Carus, TU Dresden, Dresden, Germany
| | - Theresia M Westers
- Department of Hematology, Amsterdam UMC, VU University Medical Center Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Orianne Wagner-Ballon
- Department of Hematology and Immunology, Assistance Publique-Hôpitaux de Paris, University Hospital Henri Mondor, Créteil, France
- Inserm U955, Université Paris-Est Créteil, Créteil, France
| | | | - Peter Valent
- Department of Internal Medicine I, Division of Hematology & Hemostaseology and Ludwig Boltzmann Institute for Hematology and Oncology, Medical University of Vienna, Vienna, Austria
| | - Frank Preijers
- Laboratory of Hematology, Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Canan Alhan
- Department of Hematology, Amsterdam UMC, VU University Medical Center Cancer Center Amsterdam, Amsterdam, The Netherlands
| | | | - Peter Bettelheim
- Department of Hematology, Ordensklinikum Linz, Elisabethinen, Linz, Austria
| | - Kate Burbury
- Department of Haematology, Peter MacCallum Cancer Centre, & University of Melbourne, Melbourne, Australia
| | - Nicolas Chapuis
- Laboratory of Hematology, Assistance Publique-Hôpitaux de Paris, Centre-Université de Paris, Cochin Hospital, Paris, France
- Institut Cochin, INSERM U1016, CNRS UMR, Université de Paris, Paris, France
| | - Eline Cremers
- Division of Hematology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Matteo G Della Porta
- IRCCS Humanitas Research Hospital, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Alan Dunlop
- Department of Haemato-Oncology, Royal Marsden Hospital, London, UK
| | | | - Patricia Font
- Department of Hematology, Hospital General Universitario Gregorio Marañon-IiSGM, Madrid, Spain
| | - Michaela Fontenay
- Laboratory of Hematology, Assistance Publique-Hôpitaux de Paris, Centre-Université de Paris, Cochin Hospital, Paris, France
- Institut Cochin, INSERM U1016, CNRS UMR, Université de Paris, Paris, France
| | - Willemijn Hobo
- Department of Internal Medicine I, Division of Hematology & Hemostaseology and Ludwig Boltzmann Institute for Hematology and Oncology, Medical University of Vienna, Vienna, Austria
| | - Robin Ireland
- Department of Haematology and SE-HMDS, King's College Hospital NHS Foundation Trust, London, UK
| | - Ulrika Johansson
- Laboratory Medicine, SI-HMDS, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | | | - Kiyoyuki Ogata
- Metropolitan Research and Treatment Centre for Blood Disorders (MRTC Japan), Tokyo, Japan
| | - Alberto Orfao
- 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
| | - Katherina Psarra
- Department of Immunology - Histocompatibility, Evangelismos Hospital, Athens, Greece
| | - Leonie Saft
- Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital and Institute Solna, Stockholm, Sweden
| | - Dolores Subira
- Department of Hematology, Flow Cytometry Unit, Hospital Universitario de Guadalajara, Guadalajara, Spain
| | - Jeroen Te Marvelde
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Vincent H J van der Velden
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Arjan A van de Loosdrecht
- Department of Hematology, Amsterdam UMC, VU University Medical Center Cancer Center Amsterdam, Amsterdam, The Netherlands
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Li L, Yu S, Hu X, Liu Z, Tian X, Ren X, Guo X, Fu R. Immunophenotypic changes of monocytes in myelodysplastic syndrome and clinical significance. Clin Exp Med 2022:10.1007/s10238-022-00856-7. [PMID: 35916958 PMCID: PMC9344451 DOI: 10.1007/s10238-022-00856-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 06/20/2022] [Indexed: 11/25/2022]
Abstract
Background Myelodysplastic syndrome (MDS) is a type of heterogeneous myeloid clonal disorder usually diagnosed based on a combination of multiple laboratory examinations, including analysis of peripheral blood cells, bone marrow cell morphology and cytogenetics. However, there is a certain difficulty in cases with no distinct changes in hematology and marrow cell morphology. Methods We adopt flow cytometry to quantitatively analyze the immunophenotypic changes of marrow monocytes according to the surface antigens and their combinations at different differentiation stages, so as to study the changes of monocytes during differentiation in patients with bone marrow failure. In the meantime, the relationship between the immunophenotypic changes of marrow monocytes and IPSS-R score and prognosis of MDS patients was analyzed. Results Our results demonstrated disorders of maturation and differentiation of monocytes in patients with MDS and clonal cytopenias of undetermined significance as compared to those with aplastic anemia and healthy individuals. In addition, the differentiation abnormality gradually increased with the disease progression. Furthermore, CD300e expression was found to show significant associations with the clinical stage and disease progression of MDS, and the progression-free survival and AML-free survival were much longer in MDS patients highly expressing CD300e on monocytes. Conclusions CCUS and MDS patients have disorders of differentiation and maturation of monocytes, which tends to be more critical with MDS progression or transforms to AML. Moreover, high CD300e expression has the potential to be a favorable prognostic marker for MDS. This study provides important insights to the role of monocyte immunotyping in the diagnosis, differentiation and prognosis of MDS. Supplementary Information The online version contains supplementary material available at 10.1007/s10238-022-00856-7.
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Affiliation(s)
- Lijuan Li
- Department of Hematology, Tianjin Medical University General Hospital, Heping District 154 Anshan Road, Tianjin, 300052, China.
| | - Shunjie Yu
- Department of Hematology, Tianjin Medical University General Hospital, Heping District 154 Anshan Road, Tianjin, 300052, China
| | - Xian Hu
- Department of Hematology, Anqing Hospital, Anhui Medical University, Anqing, China
| | - Zhaoyun Liu
- Department of Hematology, Tianjin Medical University General Hospital, Heping District 154 Anshan Road, Tianjin, 300052, China
| | - Xiaoying Tian
- Department of Hematology, Tianjin Medical University General Hospital, Heping District 154 Anshan Road, Tianjin, 300052, China
| | - Xiaotong Ren
- Department of Hematology, Tianjin Medical University General Hospital, Heping District 154 Anshan Road, Tianjin, 300052, China
| | - Xinyu Guo
- Department of Hematology, Tianjin Medical University General Hospital, Heping District 154 Anshan Road, Tianjin, 300052, China
| | - Rong Fu
- Department of Hematology, Tianjin Medical University General Hospital, Heping District 154 Anshan Road, Tianjin, 300052, China.
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