Publication: Comparison of the 2022 and 2017 European LeukemiaNet risk classifications in a real-life cohort of the PETHEMA group
| dc.contributor.author | Sargas, Claudia | |
| dc.contributor.author | Ayala, Rosa | |
| dc.contributor.author | Larráyoz, María J | |
| dc.contributor.author | Chillón, María C | |
| dc.contributor.author | Rodriguez-Arboli, Eduardo | |
| dc.contributor.author | Bilbao, Cristina | |
| dc.contributor.author | Prados de la Torre, Esther | |
| dc.contributor.author | Martínez-Cuadrón, David | |
| dc.contributor.author | Rodríguez-Veiga, Rebeca | |
| dc.contributor.author | Boluda, Blanca | |
| dc.contributor.author | Gil, Cristina | |
| dc.contributor.author | Bernal, Teresa | |
| dc.contributor.author | Bergua, Juan | |
| dc.contributor.author | Algarra, Lorenzo | |
| dc.contributor.author | Tormo, Mar | |
| dc.contributor.author | Martínez-Sánchez, Pilar | |
| dc.contributor.author | Soria, Elena | |
| dc.contributor.author | Serrano, Josefina | |
| dc.contributor.author | Alonso-Dominguez, Juan M | |
| dc.contributor.author | García, Raimundo | |
| dc.contributor.author | Amigo, María Luz | |
| dc.contributor.author | Herrera-Puente, Pilar | |
| dc.contributor.author | Sayas, María J | |
| dc.contributor.author | Lavilla-Rubira, Esperanza | |
| dc.contributor.author | Martinez-Lopez, Joaquin | |
| dc.contributor.author | Calasanz, María J | |
| dc.contributor.author | García-Sanz, Ramón | |
| dc.contributor.author | Pérez-Simón, José A | |
| dc.contributor.author | Gómez Casares, María T | |
| dc.contributor.author | Sánchez-García, Joaquín | |
| dc.contributor.author | Barragán, Eva | |
| dc.contributor.author | Montesinos, Pau | |
| dc.contributor.author | PETHEMA cooperative study group | |
| dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (España) | |
| dc.contributor.funder | Instituto de Salud Carlos III | |
| dc.date.accessioned | 2024-09-16T08:17:18Z | |
| dc.date.available | 2024-09-16T08:17:18Z | |
| dc.date.issued | 2023-05-12 | |
| dc.description.abstract | Next-Generation Sequencing is needed for the accurate genetic risk stratification of acute myeloid leukemia according to European LeukemiaNet (ELN) guidelines. We validated and compared the 2022 ELN risk classification in a real-life cohort of 546 intensively and 379 non-intensively treated patients. Among fit patients, those aged ?65 years old showed worse OS than younger regardless risk classification. Compared with the 2017 classification, 14.5% of fit patients changed the risk with the 2022 classification, increasing the high-risk group from 44.3% to 51.8%. 3.7% and 0.9% FLT3-ITD mutated patients were removed from the favorable and adverse 2017 categories respectively to 2022 intermediate risk group. We suggest that midostaurin therapy could be a predictor for 3 years OS (85.2% with vs. 54.8% without midostaurin, P = 0.04). Forty-seven (8.6%) patients from the 2017 intermediate group were assigned to the 2022 adverse-risk group as they harbored myelodysplasia (MDS)-related mutations. Patients with one MDS-related mutation did not reach median OS, while patients with ?2 mutations had 13.6 months median OS (P = 0.002). Patients with TP53 � complex karyotype or inv(3) had a dismal prognosis (7.1 months median OS). We validate the prognostic utility of the 2022 ELN classification in a real-life setting providing supportive evidences to improve risk stratification guidelines. | es_ES |
| dc.description.peerreviewed | Sí | es_ES |
| dc.description.sponsorship | AcknowledgementsThe authors would like to thank Maria D. Garcia, Carlos Pastorini, Rafael Vianney, Yolanda Mendizabal, and Alvaro Fernandez for data collection and management. This research was partially funded by Ministry of Economy and Competitiveness | Instituto de Salud Carlos III, Spain: PI18/01340, PI19/00730, and FI19/00059. | es_ES |
| dc.format.number | 1 | es_ES |
| dc.format.page | 77 | es_ES |
| dc.format.volume | 13 | es_ES |
| dc.identifier.citation | Blood Cancer J . 2023;13(1):77. | es_ES |
| dc.identifier.doi | 10.1038/s41408-023-00835-5 | es_ES |
| dc.identifier.e-issn | 2044-5385 | es_ES |
| dc.identifier.journal | Blood cancer journal | es_ES |
| dc.identifier.pubmedID | 37173322 | es_ES |
| dc.identifier.uri | https://hdl.handle.net/20.500.12105/23128 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Nature Publishing Group | |
| dc.relation.projectFECYT | info:eu-repo/grantAgreement/ES/PI18/01340 | es_ES |
| dc.relation.projectFECYT | info:eu-repo/grantAgreement/ES/PI19/00730 | es_ES |
| dc.relation.projectFECYT | info:eu-repo/grantAgreement/ES/FI19/00059 | es_ES |
| dc.relation.publisherversion | https://doi.org/10.1038/s41408-023-00835-5 | es_ES |
| dc.repisalud.institucion | CNIO | es_ES |
| dc.repisalud.orgCNIO | CNIO::Unidades técnicas::Unidad de Investigación Clínica de Tumores Hematológicos H12O-CNIO | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.license | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject.mesh | Nucleophosmin | es_ES |
| dc.subject.mesh | Leukemia, Myeloid, Acute | es_ES |
| dc.subject.mesh | Humans | es_ES |
| dc.subject.mesh | Aged | es_ES |
| dc.subject.mesh | Prognosis | es_ES |
| dc.subject.mesh | Risk Factors | es_ES |
| dc.subject.mesh | Mutation | es_ES |
| dc.title | Comparison of the 2022 and 2017 European LeukemiaNet risk classifications in a real-life cohort of the PETHEMA group | es_ES |
| dc.type | research article | es_ES |
| dc.type.hasVersion | VoR | es_ES |
| dspace.entity.type | Publication | |
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| relation.isFunderOfPublication | 1aef4c3b-1ee5-4534-83b4-3f3811c67280 | |
| relation.isFunderOfPublication | 7d739953-4b68-4675-b5bb-387a9ab74b66 | |
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IBIS - Instituto de Biomedicina de Sevilla (Andalucía)
IBSAL - Instituto de Investigación Biómedica de Salamanca (Castilla y León)
IIS La Fe - Fundación para la Investigación del Hospital Universitario La Fe (C. Valenciana)
IMIBIC - Instituto Maimónides de Investigación Biomédica de Córdoba (Andalucía)
INCLIVA - Instituto de Investigación Sanitaria Fundación para la Investigación del Hospital Clínico de Valencia (C. Valenciana)
Load more IBIS - Instituto de Biomedicina de Sevilla (Andalucía)
IBSAL - Instituto de Investigación Biómedica de Salamanca (Castilla y León)
IIS La Fe - Fundación para la Investigación del Hospital Universitario La Fe (C. Valenciana)
IMIBIC - Instituto Maimónides de Investigación Biomédica de Córdoba (Andalucía)
INCLIVA - Instituto de Investigación Sanitaria Fundación para la Investigación del Hospital Clínico de Valencia (C. Valenciana)


