Comparison of the 2022 and 2017 European LeukemiaNet risk classifications in a real-life cohort of the PETHEMA group
© 2023. The Author(s)..
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.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:13 |
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Enthalten in: |
Blood cancer journal - 13(2023), 1 vom: 12. Mai, Seite 77 |
Sprache: |
Englisch |
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Links: |
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Themen: |
117896-08-9 |
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Anmerkungen: |
Date Completed 15.05.2023 Date Revised 31.05.2023 published: Electronic Citation Status MEDLINE |
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doi: |
10.1038/s41408-023-00835-5 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM356761584 |
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245 | 1 | 0 | |a Comparison of the 2022 and 2017 European LeukemiaNet risk classifications in a real-life cohort of the PETHEMA group |
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520 | |a © 2023. The Author(s). | ||
520 | |a 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 | ||
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700 | 1 | |a Rodriguez-Arboli, Eduardo |e verfasserin |4 aut | |
700 | 1 | |a Bilbao, Cristina |e verfasserin |4 aut | |
700 | 1 | |a Prados de la Torre, Esther |e verfasserin |4 aut | |
700 | 1 | |a Martínez-Cuadrón, David |e verfasserin |4 aut | |
700 | 1 | |a Rodríguez-Veiga, Rebeca |e verfasserin |4 aut | |
700 | 1 | |a Boluda, Blanca |e verfasserin |4 aut | |
700 | 1 | |a Gil, Cristina |e verfasserin |4 aut | |
700 | 1 | |a Bernal, Teresa |e verfasserin |4 aut | |
700 | 1 | |a Bergua, Juan |e verfasserin |4 aut | |
700 | 1 | |a Algarra, Lorenzo |e verfasserin |4 aut | |
700 | 1 | |a Tormo, Mar |e verfasserin |4 aut | |
700 | 1 | |a Martínez-Sánchez, Pilar |e verfasserin |4 aut | |
700 | 1 | |a Soria, Elena |e verfasserin |4 aut | |
700 | 1 | |a Serrano, Josefina |e verfasserin |4 aut | |
700 | 1 | |a Alonso-Dominguez, Juan M |e verfasserin |4 aut | |
700 | 1 | |a García, Raimundo |e verfasserin |4 aut | |
700 | 1 | |a Amigo, María Luz |e verfasserin |4 aut | |
700 | 1 | |a Herrera-Puente, Pilar |e verfasserin |4 aut | |
700 | 1 | |a Sayas, María J |e verfasserin |4 aut | |
700 | 1 | |a Lavilla-Rubira, Esperanza |e verfasserin |4 aut | |
700 | 1 | |a Martínez-López, Joaquín |e verfasserin |4 aut | |
700 | 1 | |a Calasanz, María J |e verfasserin |4 aut | |
700 | 1 | |a García-Sanz, Ramón |e verfasserin |4 aut | |
700 | 1 | |a Pérez-Simón, José A |e verfasserin |4 aut | |
700 | 1 | |a Gómez Casares, María T |e verfasserin |4 aut | |
700 | 1 | |a Sánchez-García, Joaquín |e verfasserin |4 aut | |
700 | 1 | |a Barragán, Eva |e verfasserin |4 aut | |
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700 | 0 | |a PETHEMA cooperative study group |e verfasserin |4 aut | |
700 | 1 | |a Prados de la Torre, Esther |e investigator |4 oth | |
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