Automated database-guided expert-supervised orientation for immunophenotypic diagnosis and classification of acute leukemia

. 2018 Apr ; 32 (4) : 874-881. [epub] 20171101

Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid29089646

Precise classification of acute leukemia (AL) is crucial for adequate treatment. EuroFlow has previously designed an AL orientation tube (ALOT) to guide towards the relevant classification panel (T-cell acute lymphoblastic leukemia (T-ALL), B-cell precursor (BCP)-ALL and/or acute myeloid leukemia (AML)) and final diagnosis. Now we built a reference database with 656 typical AL samples (145 T-ALL, 377 BCP-ALL, 134 AML), processed and analyzed via standardized protocols. Using principal component analysis (PCA)-based plots and automated classification algorithms for direct comparison of single-cells from individual patients against the database, another 783 cases were subsequently evaluated. Depending on the database-guided results, patients were categorized as: (i) typical T, B or Myeloid without or; (ii) with a transitional component to another lineage; (iii) atypical; or (iv) mixed-lineage. Using this automated algorithm, in 781/783 cases (99.7%) the right panel was selected, and data comparable to the final WHO-diagnosis was already provided in >93% of cases (85% T-ALL, 97% BCP-ALL, 95% AML and 87% mixed-phenotype AL patients), even without data on the full-characterization panels. Our results show that database-guided analysis facilitates standardized interpretation of ALOT results and allows accurate selection of the relevant classification panels, hence providing a solid basis for designing future WHO AL classifications.

Biological Hematology AP HP Necker Enfants Malades Paris France

Cancer Research Center Salamanca Spain and Centro de Investigación Biomédica en Red de Cáncer Instituto Carlos 3 Madrid Spain

Clinica Universidad de Navarra Centro De Investigaciones Medicas Aplicadas University of Navarra Pamplona Spain

CLIP Childhood Leukaemia Investigation Prague Department of Paediatric Haematology and Oncology 2nd Faculty of Medicine Charles University University Hospital Motol Prague Czech Republic

COPPE Computation Engineering and Systems Post graduation Federal University of Rio de Janeiro Rio de Janeiro Brazil

Cytognos SL Salamanca Spain

Department of Hematology University of Schleswig Holstein Campus Kiel Kiel Germany

Department of Immunohematology and Blood Transfusion Leiden University Medical Center Leiden The Netherlands

Department of Immunology Erasmus MC University Medical Center Rotterdam Rotterdam The Netherlands

Department of Microbiology and Immunology Zabrze Medical University of Silesia Katowice Poland

Department of Pediatric Hematology and Oncology Zabrze Medical University of Silesia Katowice Poland

Department of Pediatrics Faculty of Medicine Federal University of Rio de Janeiro Rio de Janeiro Brazil

Dutch Childhood Oncology Group The Hague The Netherlands

Hematology Service University Hospital of Salamanca Salamanca Spain

Institute for Laboratory Medicin Kantonsspital Aarau AG Aarau Switzerland

Tettamanti Research Center Pediatric Clinic University of Milano Bicocca Monza Italy

Université Paris Descartes Sorbonne Paris Cité Institut Necker Enfants Malades INSERM UMR1151 Paris France

Zobrazit více v PubMed

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