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Minimal residual disease assessment in B-cell precursor acute lymphoblastic leukemia by semi-automated identification of normal hematopoietic cells: A EuroFlow study.
Verbeek, Martijn W C; Rodríguez, Beatriz Soriano; Sedek, Lukasz; Laqua, Anna; Buracchi, Chiara; Buysse, Malicorne; Reiterová, Michaela; Oliveira, Elen; Morf, Daniela; Oude Alink, Sjoerd R; Barrena, Susana; Kohlscheen, Saskia; Nierkens, Stefan; Hofmans, Mattias; Fernandez, Paula; de Costa, Elaine Sobral; Mejstrikova, Ester; Szczepanski, Tomasz; Slota, Lukasz; Brüggemann, Monika; Gaipa, Giuseppe; Grigore, Georgiana; van Dongen, Jacques J M; Orfao, Alberto; van der Velden, Vincent H J.
Afiliação
  • Verbeek MWC; Laboratory for Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Rodríguez BS; Translational and Clinical Research program, Cancer Research Centre (IBMCC, CSIC-USAL), Cytometry Service, NUCLEUS, Salamanca, Spain.
  • Sedek L; Department of Medicine, University of Salamanca (USAL), Salamanca, Spain.
  • Laqua A; Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.
  • Buracchi C; Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.
  • Buysse M; Department of Microbiology and Immunology, Medical University of Silesia in Katowice, Zabrze, Poland.
  • Reiterová M; Department of Pediatric Hematology and Oncology, Zabrze, Medical University of Silesia in Katowice, Katowice, Poland.
  • Oliveira E; Department of Hematology, University of Schleswig-Holstein, Kiel, Germany.
  • Morf D; Centro Tettamanti, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
  • Oude Alink SR; Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
  • Barrena S; Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium.
  • Kohlscheen S; CLIP-Department of Pediatric Hematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic.
  • Nierkens S; Pediatrics Institute IPPMG, Faculty of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Hofmans M; Institute for Laboratory Medicine, Aarau, Switzerland.
  • Fernandez P; Laboratory for Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • de Costa ES; Translational and Clinical Research program, Cancer Research Centre (IBMCC, CSIC-USAL), Cytometry Service, NUCLEUS, Salamanca, Spain.
  • Mejstrikova E; Department of Medicine, University of Salamanca (USAL), Salamanca, Spain.
  • Szczepanski T; Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.
  • Slota L; Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.
  • Brüggemann M; Department of Hematology, University of Schleswig-Holstein, Kiel, Germany.
  • Gaipa G; Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
  • Grigore G; Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
  • van Dongen JJM; Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium.
  • Orfao A; Institute for Laboratory Medicine, Aarau, Switzerland.
  • van der Velden VHJ; Pediatrics Institute IPPMG, Faculty of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Article em En | MEDLINE | ID: mdl-37740440
ABSTRACT
Presence of minimal residual disease (MRD), detected by flow cytometry, is an important prognostic biomarker in the management of B-cell precursor acute lymphoblastic leukemia (BCP-ALL). However, data-analysis remains mainly expert-dependent. In this study, we designed and validated an Automated Gating & Identification (AGI) tool for MRD analysis in BCP-ALL patients using the two tubes of the EuroFlow 8-color MRD panel. The accuracy, repeatability, and reproducibility of the AGI tool was validated in a multicenter study using bone marrow follow-up samples from 174 BCP-ALL patients, stained with the EuroFlow BCP-ALL MRD panel. In these patients, MRD was assessed both by manual analysis and by AGI tool supported analysis. Comparison of MRD levels obtained between both approaches showed a concordance rate of 83%, with comparable concordances between MRD tubes (tube 1, 2 or both), treatment received (chemotherapy versus targeted therapy) and flow cytometers (FACSCanto versus FACSLyric). After review of discordant cases by additional experts, the concordance increased to 97%. Furthermore, the AGI tool showed excellent intra-expert concordance (100%) and good inter-expert concordance (90%). In addition to MRD levels, also percentages of normal cell populations showed excellent concordance between manual and AGI tool analysis. We conclude that the AGI tool may facilitate MRD analysis using the EuroFlow BCP-ALL MRD protocol and will contribute to a more standardized and objective MRD assessment. However, appropriate training is required for the correct analysis of MRD data.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies / Guideline Idioma: En Revista: Cytometry B Clin Cytom Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies / Guideline Idioma: En Revista: Cytometry B Clin Cytom Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda