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Automated database-guided expert-supervised orientation for immunophenotypic diagnosis and classification of acute leukemia
L. Lhermitte, E. Mejstrikova, AJ. van der Sluijs-Gelling, GE. Grigore, L. Sedek, AE. Bras, G. Gaipa, E. Sobral da Costa, M. Novakova, E. Sonneveld, C. Buracchi, T. de Sá Bacelar, JG. Te Marvelde, A. Trinquand, V. Asnafi, T. Szczepanski, S....
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
NV15-28525A
MZ0
CEP - Centrální evidence projektů
Digitální knihovna NLK
Plný text - Článek
Zdroj
NLK
ProQuest Central
od 1997-02-01 do Před 1 rokem
Open Access Digital Library
od 1997-01-01
Nursing & Allied Health Database (ProQuest)
od 1997-02-01 do Před 1 rokem
Health & Medicine (ProQuest)
od 1997-02-01 do Před 1 rokem
PubMed
29089646
DOI
10.1038/leu.2017.313
Knihovny.cz E-zdroje
- MeSH
- akutní lymfatická leukemie patologie MeSH
- akutní myeloidní leukemie patologie MeSH
- akutní nemoc MeSH
- dítě MeSH
- dospělí MeSH
- imunofenotypizace metody MeSH
- kojenec MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- novorozenec MeSH
- předškolní dítě MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Check Tag
- dítě MeSH
- dospělí MeSH
- kojenec MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- novorozenec MeSH
- předškolní dítě MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
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.
Department of Hematology University of Schleswig Holstein Campus Kiel Kiel Germany
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
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
Citace poskytuje Crossref.org
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