Modelo integrado de citometría y ultrasecuenciación de nueva generación para desvelar la patogénesis de la leucemia mieloblástica aguda y definir nuevos criterios de respuesta
PI16/01661
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Nombre agencia financiadora Ministerio de Economía y Competitividad
Acrónimo agencia financiadora MINECO
Programa Programa Estatal de I+D+I Orientada a los Retos de la Sociedad
Subprograma Salud, cambio demográfico y bienestar
Convocatoria Proyectos de investigación en salud (Modalidad Proyectos de investigación en salud) (AE Salud 2016)
Año convocatoria 2016
Unidad de gestión Instituto de Salud Carlos III (ISCIII)
Centro beneficiario FUNDACIÓN INSTITUTO DE INVESTIGACIÓN SANITARIA DE NAVARRA
Centro realización CLINICA UNIVERSIDAD DE NAVARRA
Identificador persistente http://dx.doi.org/10.13039/501100003329
Publicaciones
Resultados totales (Incluyendo duplicados): 3
Encontrada(s) 1 página(s)
Encontrada(s) 1 página(s)
Integrated flow cytometry and sequencing to reconstruct evolutionary patterns from dysplasia to acute myeloid leukemia
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
- Simoes, Catia
- Chillón, María Carmen
- Martínez-Cuadrón, David
- Calasanz, María José
- Vridiales, María-Belén
- Vázquez Urio, Iria
- Hernández-Ruano, Montserrat
- Ariceta, Beñat
- Aguirre-Ruiz, Paula
- Burgos, Leire
- Alignani, Diego
- Sarvide, Sarai
- Villar, Sara
- Alfonso Pierola, Ana
- Prósper, Felipe
- Ayala, Rosa
- Martínez-López, Joaquín
- Bergua Burgués, Juan Miguel
- Vives, Susana
- Pérez-Simón, José A.
- García-Fortes, María
- Bernal del Castillo, Teresa
- Colorado, Mercedes
- Olave, Mayte
- Rodríguez-Gutiérrez, Juan I.
- Labrador, Jorge
- Gonzalez Díaz, Marcos
- San-Miguel, Jesús F.
- Sanz, Miguel A.
- Montesinos, Pau
- Paiva, Bruno David Lourenço
Publicado 2023-01-10, Clonal 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 workups. 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 fluorescence-activated cell sorting (FACS) with next-generation sequencing (NGS), could reconstruct leukemogenesis. Dysplastic cells were detected by MFC in 285 of 348 (82%) newly diagnosed patients with AML. Presence of dysplasia according to MFC and World Health Organization criteria had no prognostic value in older adults. NGS of dysplastic cells and blasts isolated at diagnosis identified 3 evolutionary patterns: stable (n = 12 of 21), branching (n = 4 of 21), and clonal evolution (n = 5 of 21). In patients achieving complete response (CR), 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 ~80% of patients with newly diagnosed AML, using techniques other than single-cell multiomics., This work was supported by grants from the Área de Oncología del Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red (CIBER-ONC) (CB16/12/00369, CB16/12/00233, CB16/12/ 00489, and CB16/12/00284), Instituto de Salud Carlos III/Sub-dirección General de Investigación Sanitaria (FIS numbers PI16/ 01661, PI16/00517, and PI19/01518), and the Plan de Investigación 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).
The Mutational Landscape of Acute Myeloid Leukaemia Predicts Responses and Outcomes in Elderly Patients from the PETHEMA-FLUGAZA Phase 3 Clinical Trial
Dipòsit Digital de Documents de la UAB
- Ayala, Rosa|||0000-0002-2699-8353
- Rapado, Inmaculada
- Onecha, Esther
- Martínez-Cuadrón, David|||0000-0001-7540-4091
- Carreño-Tarragona, Gonzalo|||0000-0002-9570-5542
- Bergua Burgues, Juan Miguel|||0000-0001-8229-1208
- Vives Polo, Susana|||0000-0003-2217-5285
- Algarra Algarra, Jesus Lorenzo
- Tormo, Mar|||0000-0001-9622-1649
- Martinez, Pilar
- Serrano, Josefina
- Herrera, Pilar|||0000-0002-4118-7110
- Ramos, Fernando
- Salamero, Olga|||0000-0003-3237-0025
- Lavilla, Esperanza|||0000-0003-1490-0678
- Gil, Cristina
- López Lorenzo, Jose Luis
- Vidriales, María Belén|||0000-0001-5049-3673
- Labrador, Jorge|||0000-0002-3696-0287
- Falantes, José Francisco|||0000-0001-8660-7038
- Sayas, María José
- Paiva, Bruno|||0000-0003-1977-3815
- Barragán, Eva
- Prosper, Felipe|||0000-0001-6115-8790
- Sanz, Miguel A..|||0000-0003-1489-1177
- Martínez-López, Joaquín|||0000-0001-7908-0063
- Montesinos, Pau|||0000-0002-3275-5593
Mutational profiling using a custom 43-gene next-generation sequencing panel revealed that patients with mutated DNMT3A or EZH2, or an increase in TET2 VAF and lower TP53 VAF showed a higher overall response. NRAS and TP53 variants were associated with shorter overall survival (OS), whereas only mutated BCOR 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 and mutated NRAS benefited from azacytidine therapy and patients with mutated TP53 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. We 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
Targeting CD38 with isatuximab and a novel CD38/CD3×CD28 trispecific T-cell engager in older patients with acute myeloid leukemia
Dipòsit Digital de Documents de la UAB
- Martín-Sánchez, Esperanza
- Blanco Fernández, Laura|||0000-0002-1859-0884
- Kim, Peter S.
- Bisht, Kamlesh
- Wang, Hongfang|||0000-0002-1104-1540
- Van de Velde, Helgi
- Jelinek, Tomas
- Simoes, Catia
- Prosper, Felipe|||0000-0001-6115-8790
- San-Miguel, Jesus|||0000-0002-9183-4857
- Alfonso-Piérola, Ana|||0000-0002-2478-5354
- Bergua Burgues, Juan Miguel|||0000-0001-8229-1208
- Rodríguez-Veiga, Rebeca|||0000-0003-2139-8540
- Vives, Susana
- Martínez-Cuadrón, David|||0000-0001-7540-4091
- Montesinos, Pau|||0000-0002-3275-5593
- Paiva, Bruno|||0000-0003-1977-3815
- Zabaleta, Aintzane|||0000-0003-3474-3040