Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/134754
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dc.contributor.authorSargas, Claudiaen_US
dc.contributor.authorAyala, Rosaen_US
dc.contributor.authorLarráyoz, María Joséen_US
dc.contributor.authorChillón, María Carmenen_US
dc.contributor.authorCarrillo-Cruz, Estrellaen_US
dc.contributor.authorBilbao Sieyro, Cristinaen_US
dc.contributor.authorPrados de la Torre, Estheren_US
dc.contributor.authorMartínez-Cuadrón, Daviden_US
dc.contributor.authorRodríguez-Veiga, Rebecaen_US
dc.contributor.authorBoluda, Blancaen_US
dc.contributor.authorGil, Cristinaen_US
dc.contributor.authorBernal, Teresaen_US
dc.contributor.authorBergua, Juan Miguelen_US
dc.contributor.authorAlgarra, Lorenzoen_US
dc.contributor.authorTormo, Maren_US
dc.contributor.authorMartínez-Sánchez, Pilaren_US
dc.contributor.authorSoria, Elenaen_US
dc.contributor.authorSerrano, Josefinaen_US
dc.contributor.authorAlonso-Domínguez, Juan Manuelen_US
dc.contributor.authorGarcía-Boyero, Raimundoen_US
dc.contributor.authorAmigo, María Luzen_US
dc.contributor.authorHerrera-Puente, Pilaren_US
dc.contributor.authorSayas, María Joséen_US
dc.contributor.authorLavilla-Rubira, Esperanzaen_US
dc.contributor.authorMartínez-López, Joaquínen_US
dc.contributor.authorCalasanz, María Joséen_US
dc.contributor.authorGarcía-Sanz, Ramónen_US
dc.contributor.authorPérez-Simón, José Antonioen_US
dc.contributor.authorGómez Casares, María Teresaen_US
dc.contributor.authorSánchez-García, Joaquínen_US
dc.contributor.authorBarragán, Evaen_US
dc.contributor.authorMontesinos, Pauen_US
dc.date.accessioned2024-11-19T19:57:08Z-
dc.date.available2024-11-19T19:57:08Z-
dc.date.issued2023en_US
dc.identifier.issn2072-6694en_US
dc.identifier.urihttp://hdl.handle.net/10553/134754-
dc.description.abstractNext–Generation Sequencing (NGS) implementation to perform accurate diagnosis in acute myeloid leukemia (AML) represents a major challenge for molecular laboratories in terms of specialization, standardization, costs and logistical support. In this context, the PETHEMA cooperative group has established the first nationwide diagnostic network of seven reference laboratories to provide standardized NGS studies for AML patients. Cross–validation (CV) rounds are regularly performed to ensure the quality of NGS studies and to keep updated clinically relevant genes recommended for NGS study. The molecular characterization of 2856 samples (1631 derived from the NGS–AML project; NCT03311815) with standardized NGS of consensus genes (ABL1, ASXL1, BRAF, CALR, CBL, CEBPA, CSF3R, DNMT3A, ETV6, EZH2, FLT3, GATA2, HRAS, IDH1, IDH2, JAK2, KIT, KRAS, MPL, NPM1, NRAS, PTPN11, RUNX1, SETBP1, SF3B1, SRSF2, TET2, TP53, U2AF1 and WT1) showed 97% of patients having at least one mutation. The mutational profile was highly variable according to moment of disease, age and sex, and several co–occurring and exclusion relations were detected. Molecular testing based on NGS allowed accurate diagnosis and reliable prognosis stratification of 954 AML patients according to new genomic classification proposed by Tazi et al. Novel molecular subgroups, such as mutated WT1 and mutations in at least two myelodysplasia–related genes, have been associated with an adverse prognosis in our cohort. In this way, the PETHEMA cooperative group efficiently provides an extensive molecular characterization for AML diagnosis and risk stratification, ensuring technical quality and equity in access to NGS studies.en_US
dc.languageengen_US
dc.relation.ispartofCancers (Basel)en_US
dc.sourceCancers (Basel) [ISSN 2072-6694], v. 15 (2), 438, (Enero 2023)en_US
dc.subject32 Ciencias médicasen_US
dc.subject320708 Hematologíaen_US
dc.subject.otherAcute myeloid leukemiaen_US
dc.subject.otherClinical validationen_US
dc.subject.otherCross–validationsen_US
dc.subject.otherGenomic classificationen_US
dc.subject.otherMutational profileen_US
dc.subject.otherNext–Generation Sequencingen_US
dc.titleMolecular Landscape and Validation of New Genomic Classification in 2668 Adult AML Patients: Real Life Data from the PETHEMA Registryen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/cancers15020438en_US
dc.identifier.scopus2-s2.0-85146805678-
dc.contributor.orcid0000-0001-8144-7995-
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dc.identifier.issue2-
dc.relation.volume15en_US
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.description.numberofpages21en_US
dc.utils.revisionen_US
dc.date.coverdateEnero 2023en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-MEDen_US
dc.description.sjr1,391
dc.description.jcr5,2
dc.description.sjrqQ1
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dc.description.miaricds10,6
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptDepartamento de Morfología-
crisitem.author.deptDepartamento de Ciencias Médicas y Quirúrgicas-
crisitem.author.orcid0000-0002-4796-1445-
crisitem.author.orcid0000-0003-0505-5126-
crisitem.author.fullNameBilbao Sieyro, Cristina-
crisitem.author.fullNameGómez Casares, María Teresa-
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