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

Authors :
Instituto de Salud Carlos III
Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil)
Ministerio de Sanidad y Consumo (España)
Polish Academy of Sciences
Fundações de Amparo à Pesquisa (Brasil)
Ministerio de Economía y Competitividad (España)
Lhermitte, Ludovic
Mejstrikova, Ester
Sluijs-Gelling, Alita J. van der
Grigore, Georgiana Emilia
Sedek, Lukasz
Bras, A. E.
Gaipa, Giuseppe
Sobral da Costa, E.
Novákova, Michaela
Sonneveld, Edwin
Buracchi, Chiara
Bacelar, Thiago S.
Marvelde, Jeroen G. te
Trinquand, A.
Asnafi, V.
Szczepanski, Tomasz
Matarraz, Sergio
Lopez, A.
Vidriales, Maria Belén
Bulsa, J.
Hrusak, Ondrej
Kalina, Tomas
Lécrevisse, Quentin
Martín-Ayuso, Marta
Brüggemann, Monika
Verde, Javier
Fernandez, Paula
Burgos, Leire
Paiva, Bruno
Pedreira, C. E.
Dongen, J. J. M. van
Orfao, Alberto
Velden, Vincent H. J. van der
Instituto de Salud Carlos III
Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil)
Ministerio de Sanidad y Consumo (España)
Polish Academy of Sciences
Fundações de Amparo à Pesquisa (Brasil)
Ministerio de Economía y Competitividad (España)
Lhermitte, Ludovic
Mejstrikova, Ester
Sluijs-Gelling, Alita J. van der
Grigore, Georgiana Emilia
Sedek, Lukasz
Bras, A. E.
Gaipa, Giuseppe
Sobral da Costa, E.
Novákova, Michaela
Sonneveld, Edwin
Buracchi, Chiara
Bacelar, Thiago S.
Marvelde, Jeroen G. te
Trinquand, A.
Asnafi, V.
Szczepanski, Tomasz
Matarraz, Sergio
Lopez, A.
Vidriales, Maria Belén
Bulsa, J.
Hrusak, Ondrej
Kalina, Tomas
Lécrevisse, Quentin
Martín-Ayuso, Marta
Brüggemann, Monika
Verde, Javier
Fernandez, Paula
Burgos, Leire
Paiva, Bruno
Pedreira, C. E.
Dongen, J. J. M. van
Orfao, Alberto
Velden, Vincent H. J. van der
Publication Year :
2018

Abstract

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.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1103438823
Document Type :
Electronic Resource