4 results on '"Jeroen te Marvelde"'
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2. Multiparameter flow cytometry in the evaluation of myelodysplasia
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Anna Porwit, Marie C. Béné, Carolien Duetz, Sergio Matarraz, Uta Oelschlaegel, Theresia M. Westers, Orianne Wagner‐Ballon, Shahram Kordasti, Peter Valent, Frank Preijers, Canan Alhan, Frauke Bellos, Peter Bettelheim, Kate Burbury, Nicolas Chapuis, Eline Cremers, Matteo G. Della Porta, Alan Dunlop, Lisa Eidenschink‐Brodersen, Patricia Font, Michaela Fontenay, Willemijn Hobo, Robin Ireland, Ulrika Johansson, Michael R. Loken, Kiyoyuki Ogata, Alberto Orfao, Katherina Psarra, Leonie Saft, Dolores Subira, Jeroen te Marvelde, Denise A. Wells, Vincent H. J. van der Velden, Wolfgang Kern, and Arjan A. van de Loosdrecht
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All institutes and research themes of the Radboud University Medical Center ,Histology ,Cancer development and immune defence Radboud Institute for Molecular Life Sciences [Radboudumc 2] ,Cell Biology ,Pathology and Forensic Medicine - Abstract
Contains fulltext : 290820.pdf (Publisher’s version ) (Open Access) 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. 01 januari 2023
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- 2023
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3. Flow cytometric analysis of myelodysplasia: Pre-analytical and technical issues—Recommendations from the European LeukemiaNet
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Vincent H. J. van der Velden, Frank Preijers, Ulrika Johansson, Theresia M. Westers, Alan Dunlop, Anna Porwit, Marie C. Béné, Peter Valent, Jeroen te Marvelde, Orianne Wagner‐Ballon, Uta Oelschlaegel, Leonie Saft, Sharham Kordasti, Robin Ireland, Eline Cremers, Canan Alhan, Carolien Duetz, Willemijn Hobo, Nicolas Chapuis, Michaela Fontenay, Peter Bettelheim, Lisa Eidenshink‐Brodersen, Patricia Font, Michael R. Loken, Sergio Matarraz, Kiyoyuki Ogata, Alberto Orfao, Katherina Psarra, Dolores Subirá, Denise A. Wells, Matteo G. Della Porta, Kate Burbury, Frauke Bellos, Elisabeth Weiß, Wolfgang Kern, Arjan van de Loosdrecht, Hematology laboratory, Internal medicine, Hematology, VU University medical center, AII - Cancer immunology, CCA - Cancer biology and immunology, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Radboudumc Nijmegen [The Netherlands], University Hospitals Bristol, Amsterdam UMC - Amsterdam University Medical Center, Royal Marsden Hospital [Surrey, UK], Lund University [Lund], Immunobiology of Human αβ and γδ T Cells and Immunotherapeutic Applications (CRCINA-ÉQUIPE 1), Centre de Recherche en Cancérologie et Immunologie Nantes-Angers (CRCINA), Université d'Angers (UA)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Université d'Angers (UA)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre hospitalier universitaire de Nantes (CHU Nantes), Centre hospitalier universitaire de Nantes (CHU Nantes), Medizinische Universität Wien = Medical University of Vienna, Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), CHU Henri Mondor, University Hospital Carl Gustav Carus [Dresden, Germany], Technische Universität Dresden = Dresden University of Technology (TU Dresden), Karolinska Institutet [Stockholm], King‘s College London, Maastricht University [Maastricht], Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Ordensklinikum Linz Elisabethinen, HematoLogics, Inc. [Seattle, WA, USA], Hospital General Universitario 'Gregorio Marañón' [Madrid], Universidad de Salamanca, Instituto de Salud Carlos III [Madrid] (ISC), Metropolitan Research and Treatment Centre for Blood Disorders [Tokyo, Japan] (MRTC Japan), Evangelismos Athens General Hospital, Universidad de Guadalajara, Humanitas University [Milan] (Hunimed), University of Melbourne, Munich Leukemia Laboratory [Munich, Germany], MUMC+: MA Med Staf Artsass Interne Geneeskunde (9), RS: FHML non-thematic output, Immunology, and Bernardo, Elizabeth
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Histology ,MASTOCYTOSIS ,Cancer development and immune defence Radboud Institute for Molecular Life Sciences [Radboudumc 2] ,BONE-MARROW ,DIAGNOSTIC-CRITERIA ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,REFRACTORY CYTOPENIA ,CLASSIFICATION ,Pathology and Forensic Medicine ,pre-analytic issues ,03 medical and health sciences ,0302 clinical medicine ,All institutes and research themes of the Radboud University Medical Center ,[SDV.CAN] Life Sciences [q-bio]/Cancer ,SDG 3 - Good Health and Well-being ,hemic and lymphatic diseases ,MDS ,030304 developmental biology ,0303 health sciences ,flow cytometry ,Cell Biology ,QUANTIFICATION ,LOW-GRADE ,3. Good health ,CONSENSUS STATEMENTS ,ELN ,030215 immunology ,STANDARDS - Abstract
Contains fulltext : 290818.pdf (Publisher’s version ) (Open Access) BACKGROUND: Flow cytometry (FCM) aids the diagnosis and prognostic stratification of patients with suspected or confirmed myelodysplastic syndrome (MDS). Over the past few years, significant progress has been made in the FCM field concerning technical issues (including software and hardware) and pre-analytical procedures. METHODS: Recommendations are made based on the data and expert discussions generated from 13 yearly meetings of the European LeukemiaNet international MDS Flow working group. RESULTS: We report here on the experiences and recommendations concerning (1) the optimal methods of sample processing and handling, (2) antibody panels and fluorochromes, and (3) current hardware technologies. CONCLUSIONS: These recommendations will support and facilitate the appropriate application of FCM assays in the diagnostic workup of MDS patients. Further standardization and harmonization will be required to integrate FCM in MDS diagnostic evaluations in daily practice. 01 januari 2023
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- 2023
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4. Impact of Pre-Analytical and Analytical Variables Associated with Sample Preparation on Flow Cytometric Stainings Obtained with EuroFlow Panels
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Łukasz Sędek, Juan Flores-Montero, Alita van der Sluijs, Jan Kulis, Jeroen te Marvelde, Jan Philippé, Sebastian Böttcher, Marieke Bitter, Joana Caetano, Vincent H. J. van der Velden, Edwin Sonneveld, Chiara Buracchi, Ana Helena Santos, Margarida Lima, Tomasz Szczepański, Jacques J. M. van Dongen, Alberto Orfao, European Commission, European Hematology Association, Polish National Agency for Academic Exchange, Silesian University of Technology, Instituto de Salud Carlos III, Ministerio de Economía y Competitividad (España), Immunology, Sedek, L, Flores-Montero, J, van der Sluijs, A, Kulis, J, Marvelde, J, Philippe, J, Bottcher, S, Bitter, M, Caetano, J, van der Velden, V, Sonneveld, E, Buracchi, C, Santos, A, Lima, M, Szczepanski, T, van Dongen, J, and Orfao, A
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standardization ,Cancer Research ,Leukemia ,Lymphoma ,flow cytometry ,anticoagulant ,Anticoagulant ,leukemia ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,lymphoma ,Sample storage ,Standardization ,Immunophenotyping ,multiple myeloma ,sample storage ,Oncology ,immunophenotyping ,SDG 3 - Good Health and Well-being ,Multiple myeloma ,Protocol ,Flow cytometry ,protocol ,RC254-282 - Abstract
Objective interpretation of FC results may still be hampered by limited technical standardization. The EuroFlow consortium conducted a series of experiments to determine the impact of different variables on the relative distribution and the median fluorescence intensity (MFI) of markers stained on different cell populations, from both healthy donors and patients’ samples with distinct hematological malignancies. The use of different anticoagulants; the time interval between sample collection, preparation, and acquisition; pH of washing buffers; and the use of cell surface membrane-only (SM) vs. cell surface plus intracytoplasmic (SM+CY) staining protocols, were evaluated. Our results showed that only monocytes were represented at higher percentages in EDTA- vs. heparin-anticoagulated samples. Application of SM or SM+CY protocols resulted in slight differences in the percentage of neutrophils and debris determined only with particular antibody combinations. In turn, storage of samples for 24 h at RT was associated with greater percentage of debris and cell doublets when the plasma cell disorder panel was used. Furthermore, 24 h storage of stained cells at RT was selectively detrimental for MFI levels of CD19 and CD45 on mature B- and T-cells (but not on leukemic blasts, clonal B- and plasma cells, neutrophils, and NK cells). The obtained results showed that the variables evaluated might need to be tailored for sample and cell type(s) as well as to the specific markers compared; however, defining of well-balanced boundaries for storage time, staining-to-acquisition delay, and pH of washing buffer would be a valid recommendation for most applications and circumstances described herein., This research was funded by the EuroFlow Consortium which received support from the FP6-2004-LIFESCIHEALTH-5 program of the European Commission (grant LSHB-CT-2006-018708) as Specific Targeted Research Project (STREP). The EuroFlow Consortium is part of the European Scientific Foundation for Hemato-Oncology (ESLHO), a Scientific Working Group (SWG) of the European Hematology Association (EHA); the grant of the Polish National Center for Research and Development (no. STRATEGMED3/304586/5/NCBR/2017 Person ALL); and internal grant of the Medical University of Silesia (no. PCN-1-050/K/0/K); the grant of CIBER-ONC, Instituto de Salud Carlos III, Ministerio de Economía y Competitividad, Madrid, Spain and FONDOS FEDER (no. CB16/12/00400).
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- 2022
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