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dc.contributor.authorSimoes, Catiaes_ES
dc.contributor.authorChillón, María Carmenes_ES
dc.contributor.authorMartínez-Cuadrón, Davides_ES
dc.contributor.authorCalasanz, María Josées_ES
dc.contributor.authorVidriales, María-Belénes_ES
dc.contributor.authorVázquez, Iriaes_ES
dc.contributor.authorHernández-Ruano, Montserrates_ES
dc.contributor.authorAriceta, Beñates_ES
dc.contributor.authorAguirre-Ruiz, Paulaes_ES
dc.contributor.authorBurgos, Leirees_ES
dc.contributor.authorAlignani, Diegoes_ES
dc.contributor.authorVillar, Saraes_ES
dc.contributor.authorAlfonso, Anaes_ES
dc.contributor.authorProsper, Felipees_ES
dc.contributor.authorAyala, Rosaes_ES
dc.contributor.authorMartínez-López, Joaquínes_ES
dc.contributor.authorBergua Burgués, Juan Migueles_ES
dc.contributor.authorVives, Susanaes_ES
dc.contributor.authorPérez-Simón, José Antonioes_ES
dc.contributor.authorColorado Araujo, María de las Mercedeses_ES
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-02-24T15:15:58Z
dc.date.available2023-02-24T15:15:58Z
dc.date.issued2023-01-10es_ES
dc.identifier.issn2473-9529es_ES
dc.identifier.issn2473-9537es_ES
dc.identifier.urihttps://hdl.handle.net/10902/27882
dc.description.abstractClonal evolution in acute myeloid leukemia (AML) originates long before diagnosis and is a dynamic process that may affect survival. However, it remains uninvestigated during routine diagnostic workup. We hypothesized that the mutational status of bone marrow dysplastic cells and leukemic blasts, analyzed at the onset of AML using integrated multidimensional flow cytometry (MFC) immunophenotyping and sorting (FACS) with next-generation sequencing (NGS), could reconstruct leukemogenesis. Dysplastic cells were detected by MFC in 285 of 348 (82%) newly-diagnosed AML patients. Presence of dysplasia according to MFC and WHO criteria had no prognostic value in the elderly. NGS of dysplastic cells and blasts isolated at diagnosis identified three evolutionary patterns: stable (n=12/21), branching (n=4/21) and clonal evolution (n=5/21). In patients achieving complete response, integrated MFC and FACS with NGS showed persistent measurable residual disease (MRD) in phenotypically normal cell types, as well as the acquisition of genetic traits associated with treatment resistance. Furthermore, whole-exome sequencing of dysplastic and leukemic cells at diagnosis and of MRD uncovered different clonal involvement in dysplastic myelo-erythropoiesis, leukemic transformation and chemoresistance. Altogether, we showed that it is possible to reconstruct leukemogenesis in approximately 80% of newly diagnosed AML patients, using techniques other than single-cell multiomics.es_ES
dc.description.sponsorshipACKNOWLEDGEMENTS: The authors acknowledge the patients, caregivers, and the biobank of the University of Navarra. This work was supported by grants from the Área de Oncología del Instituto de Salud Carlos III, Centro de Investigacion Biom ´ edica en ´ Red (CIBER-ONC) (CB16/12/00369, CB16/12/00233, CB16/12/ 00489, and CB16/12/00284), Instituto de Salud Carlos III/Subdireccion General de Investigaci ´ on Sanitaria (FIS numbers PI16/ ´ 01661, PI16/00517, and PI19/01518), and the Plan de Investigacion´ de la Universidad de Navarra (PIUNA 2014-18). This work was supported internationally by the Cancer Research UK, FCAECC, and AIRC under the Accelerator Award Program (EDITOR).es_ES
dc.format.extent7 p.es_ES
dc.language.isoenges_ES
dc.publisherAmerican Society of Hematologyes_ES
dc.rights© 2022 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.es_ES
dc.sourceBlood advances, 2023, 7(1), 167-173es_ES
dc.titleIntegrated flow cytometry and sequencing to reconstruct evolutionary patterns from dysplasia to acute myeloid leukemiaes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1182/bloodadvances.2022008141es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1182/bloodadvances.2022008141es_ES
dc.type.versionpublishedVersiones_ES


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