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dc.contributorVall d'Hebron Barcelona Hospital Campus
dc.contributor.authorAyala, Rosa
dc.contributor.authorRapado, Inmaculada
dc.contributor.authorOnecha, Esther
dc.contributor.authorMartínez-Cuadrón, David
dc.contributor.authorCarreño-Tarragona, Gonzalo
dc.contributor.authorBergua, Juan Miguel
dc.contributor.authorSalamero García, Olga
dc.date.accessioned2022-01-13T17:41:48Z
dc.date.available2022-01-13T17:41:48Z
dc.date.issued2021-05-18
dc.identifier.citationAyala R, Rapado I, Onecha E, Martínez-Cuadrón D, Carreño-Tarragona G, Bergua JM, et al. The Mutational Landscape of Acute Myeloid Leukaemia Predicts Responses and Outcomes in Elderly Patients from the PETHEMA-FLUGAZA Phase 3 Clinical Trial. Cancers. 2021 May 18;13(10):2458.
dc.identifier.issn2072-6694
dc.identifier.urihttps://hdl.handle.net/11351/6795
dc.descriptionMyeloid neoplasia; Older adults; Prognostic factors
dc.description.abstractWe sought to predict treatment responses and outcomes in older patients with newly diagnosed acute myeloid leukemia (AML) from our FLUGAZA phase III clinical trial (PETHEMA group) based on mutational status, comparing azacytidine (AZA) with fludarabine plus low-dose cytarabine (FLUGA). Mutational profiling using a custom 43-gene next-generation sequencing panel revealed differences in profiles between older and younger patients, and several prognostic markers that were useful in young patients were ineffective in older patients. We examined the associations between variables and overall responses at the end of the third cycle. Patients with mutated DNMT3A or EZH2 were shown to benefit from azacytidine in the treatment-adjusted subgroup analysis. An analysis of the associations with tumor burden using variant allele frequency (VAF) quantification showed that a higher overall response was associated with an increase in TET2 VAF (odds ratio (OR), 1.014; p = 0.030) and lower TP53 VAF (OR, 0.981; p = 0.003). In the treatment-adjusted multivariate survival analyses, only the NRAS (hazard ratio (HR), 1.9, p = 0.005) and TP53 (HR, 2.6, p = 9.8 × 10−7) variants were associated with shorter overall survival (OS), whereas only mutated BCOR (HR, 3.6, p = 0.0003) was associated with a shorter relapse-free survival (RFS). Subgroup analyses of OS according to biological and genomic characteristics showed that patients with low–intermediate cytogenetic risk (HR, 1.51, p = 0.045) and mutated NRAS (HR, 3.66, p = 0.047) benefited from azacytidine therapy. In the subgroup analyses, patients with mutated TP53 (HR, 4.71, p = 0.009) showed a better RFS in the azacytidine arm. In conclusion, differential mutational profiling might anticipate the outcomes of first-line treatment choices (AZA or FLUGA) in older patients with AML. The study is registered at ClinicalTrials.gov as NCT02319135.
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofseriesCancers;13(10)
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScientia
dc.subjectLeucèmia mieloide aguda - Tractament
dc.subjectAvaluació de resultats (Assistència sanitària)
dc.subject.meshLeukemia, Myeloid, Acute
dc.subject.mesh/diagnosis
dc.subject.meshTreatment Outcome
dc.titleThe Mutational Landscape of Acute Myeloid Leukaemia Predicts Responses and Outcomes in Elderly Patients from the PETHEMA-FLUGAZA Phase 3 Clinical Trial
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.3390/cancers13102458
dc.subject.decsleucemia mieloide aguda
dc.subject.decs/diagnóstico
dc.subject.decsresultado del tratamiento
dc.relation.publishversionhttps://doi.org/10.3390/cancers13102458
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.audienceProfessionals
dc.contributor.organismesInstitut Català de la Salut
dc.contributor.authoraffiliation[Ayala R] Hematology Department, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Imas12, 28041 Madrid, Spain. Hematological Malignancies Clinical Research Unit, CNIO, 28029 Madrid, Spain. Departament of Medicine, Complutense University, 28040 Madrid, Spain. Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto Carlos III, 28029 Madrid, Spain. [Rapado I] Hematology Department, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Imas12, 28041 Madrid, Spain. Hematological Malignancies Clinical Research Unit, CNIO, 28029 Madrid, Spain. Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto Carlos III, 28029 Madrid, Spain. [Onecha E, Carreño-Tarragona G] Hematology Department, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Imas12, 28041 Madrid, Spain. Hematological Malignancies Clinical Research Unit, CNIO, 28029 Madrid, Spain. [Martínez-Cuadrón D] Hematology Department, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain. [Bergua JM] Hematology Department, Hospital San Pedro Acantara, 10003 Cáceres, Spain. [Salamero O] Servei d’Hematologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain
dc.identifier.pmid34070172
dc.identifier.wos000654665400001
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess


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