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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F18%3A10375310" target="_blank" >RIV/00216208:11130/18:10375310 - isvavai.cz</a>

  • Alternative codes found

    RIV/00064203:_____/18:10375310

  • Result on the web

    <a href="https://doi.org/10.1038/leu.2017.313" target="_blank" >https://doi.org/10.1038/leu.2017.313</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/leu.2017.313" target="_blank" >10.1038/leu.2017.313</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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 493% 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30102 - Immunology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Leukemia

  • ISSN

    0887-6924

  • e-ISSN

  • Volume of the periodical

    32

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    8

  • Pages from-to

    874-881

  • UT code for WoS article

    000429129100003

  • EID of the result in the Scopus database

    2-s2.0-85044667094