Full metadata record
DC Field | Value | Language |
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dc.creator | Lhermitte, L. (Ludovic) | - |
dc.creator | Mejstrikova, E. (Ester) | - |
dc.creator | Sluijs-Gelling, A. (Alita) van der | - |
dc.creator | Grigore, G. (Georgiana) | - |
dc.creator | Sedek, L. (Lukasz) | - |
dc.creator | Bras, A.E. (Anne E.) | - |
dc.creator | Gaipa, G. (Giuseppe) | - |
dc.creator | Sobral-da-Costa, E. (Elaine) | - |
dc.creator | Novakova, M. (Michaela) | - |
dc.creator | Sonneveld, E. (E.) | - |
dc.creator | Buracchi, C. (Chiara) | - |
dc.creator | Sá-Bacelar, T. (T.) de | - |
dc.creator | Marvelde, J. (Jeroen) te | - |
dc.creator | Trinquand, A. (A.) | - |
dc.creator | Asnaf, V. (V.) | - |
dc.creator | Szczepanski, T. (Tomasz) | - |
dc.creator | Matarraz, S. (Sergio) | - |
dc.creator | López, A. (Andrés) | - |
dc.creator | Vidriales, M.B. (María Belén) | - |
dc.creator | Bulsa, J. (J.) | - |
dc.creator | Hrusak, O. (O.) | - |
dc.creator | Kalina, T. (Tomas) | - |
dc.creator | Lecrevisse, Q. (Quentin) | - |
dc.creator | Martin-Ayuso, M. (M.) | - |
dc.creator | Brüggemann, M. (Monika) | - |
dc.creator | Verde, J. (Javier) | - |
dc.creator | Fernandez, P. (P.) | - |
dc.creator | Burgos, L. (Leire) | - |
dc.creator | Paiva, B. (Bruno) | - |
dc.creator | Pedreira, C.E. (Carlos E.) | - |
dc.creator | Dongen, J.J.M. (Jacques J. M.) van | - |
dc.creator | Orfao, A. (Alberto) | - |
dc.creator | Velden, V.H.J. (Vicent H. J.) van der | - |
dc.date.accessioned | 2023-03-09T08:21:22Z | - |
dc.date.available | 2023-03-09T08:21:22Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Lhermitte, L. (Ludovic); Mejstrikova, E. (Ester); Sluijs-Gelling, A. (Alita) van der; et al. "Automated database-guided expert-supervised orientation for immunophenotypic diagnosis and classification of acute leukemia". Leukemia. 32 (4), 2018, 874 - 881 | es_ES |
dc.identifier.issn | 0887-6924 | - |
dc.identifier.uri | https://hdl.handle.net/10171/65650 | - |
dc.description.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. | es_ES |
dc.description.sponsorship | The research was performed within the EuroFlow Consortium, which started with an EU-FP6 grant (LSHB-CT-2006-018708) and obtained sustainability by protecting and licensing intellectual property, thereby obtaining royalties, which are exclusively being used for supporting the EuroFlow research program (chairmen: JJMvD and AO). LS, JB and TS were supported by STRATEGMED3/304586/5/NCBR/2017 PersonALL grant of the Polish National Center for Research and Development. ESC acknowledges FAPERJ, Rio de Janeiro, Brazil (E26/110.105/2014; E26/102.191/2013) and Conselho Nacional de Desenvolvimento Científico e Tecnológico—CNPQ of Brazil (400194/2014-7). AO, SM and AL acknowledge the Instituto de Salud Carlos III (MINECO, Madrid, Spain) for the DTS15/00119, and CIBERONC-FEDER-CB16/12/00400 grants. EM, OH, TK and MN were supported by Ministry of Health grant number 15- 28525A and NPU LO1604. The research for this manuscript was in part performed within the framework of the Erasmus Postgraduate School Molecular Medicine. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer Nature | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Ayudas a la incorporación de nuevas áreas temáticas y nuevos grupos al Consorcio CIBER (AE de Salud 2016)/CB16/12/00400/ES/CANCER | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Acute leukemia (AL) | es_ES |
dc.subject | AL orientation tube (ALOT) | es_ES |
dc.subject | B-cell precursor (BCP) | es_ES |
dc.subject | T-cell acute lymphoblastic leukemia (T-ALL) | es_ES |
dc.title | Automated database-guided expert-supervised orientation for immunophenotypic diagnosis and classification of acute leukemia | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.note | This work is licensed under a Creative Commons AttributionNonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http:// creativecommons.org/licenses/by-nc-nd/4.0/ | es_ES |
dc.identifier.doi | 10.1038/leu.2017.313 | - |
dadun.citation.endingPage | 881 | es_ES |
dadun.citation.number | 4 | es_ES |
dadun.citation.publicationName | Leukemia | es_ES |
dadun.citation.startingPage | 874 | es_ES |
dadun.citation.volume | 32 | es_ES |
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