The Differential Impact of Secondary-Type Mutations in a Multinational Cohort of 5311 Intensively Treated Acute Myeloid Leukemia Patients
Secondary-type mutations (STM) are defined as alterations in ASXL1, BCOR, EZH2, SF3B1, SRSF2, STAG2, U2AF1, and ZRSR2 in the recent update of the WHO classification on myeloid neoplasms. The International Consensus Classification (ICC) extends its definition to also include alterations of RUNX1. Patients bearing STMs are considered adverse risk in the absence of other class-defining markers according to the recent update of the European LeukemiaNet (ELN) 2022 recommendations. However, it is unclear if all STMs convey an equally adverse prognostic effect or if individual STMs have a differential prognostic impact. We pooled data on molecular genetics, cytogenetics, and outcomes of 5311 newly diagnosed and intensively treated AML patients from previous randomized multicenter trials of the German SAL (n=1606), the German-Austrian AMLSG (n=1354, dataset from Gerstung et al., Nature Genetics 2017), the German AMLCG (n=1138), the French DATAML (n=1040), and the Czech CELL (n=173). Patients were retrospectively categorized into ELN2022. All analyses were carried out for WHO 2022 definitions (STMWHO) and ICC 2022 definitions (STMICC). We found 1485 (28%) of patients to harbor STMWHO and 1698 patients (32.0%) with STMICC. Patients with STMWHO and STMICC were significantly older than non-STM patients (median 60 vs 53 and 59 vs 52 years, p<0.001) and more frequently male (STMWHO: 62.5% and STMICC: 61.1% male vs 48.3% and 48.1%, p<0.001). STM-bearing patients had significantly higher rates of secondary AML (STMWHO: 19.8% and STMICC: 19.2% vs 6.9% and 6.3%) while de novo AML rates were significantly lower (STMWHO: 75.5% and STMICC: 75.8% vs 87.7% and 88.3%) compared to non-STM patients. Patients with STMs presented with significantly lower white blood cell count as well as significantly lower bone marrow and peripheral blood blast counts. After intensive induction therapy, 65.1% or 65.7% of patients with STMWHO or STMICC achieved complete remission (CR) compared to 77.2% or 77.7% of patients without STM according to either definition (OR 0.55 and p<0.001 for both). To test whether STMs constitute an individual risk group aside from ELN2022 adverse, these groups were separated. Patients with STMs and co-occurring defining favorable or intermediate risk features were assigned to ELN2022 favorable or intermediate risk, respectively. Patients with STM and no other class-defining alterations had longer event-free survival (EFS; STMWHO: 4.7 months, hazard ratio [HR] 1.66, p<0.001; STMICC: 4.9 months. HR 1.69, p<0.001) than ELN2022 adverse risk patients (3.0 months, HR 2.02, p<0.001, and 2.7 months, HR 2.12, p<0.001, respectively), longer relapse-free survival (RFS; STMWHO: 12.6 months, HR 1.53, p<0.001, STMICC: 11.9 months, HR 1.60, p<0.001 vs 8.0 months, HR 1.91, p<0.001 and 7.4 months, HR 1.93, p<0.01, respectively), and longer overall survival (OS; STMWHO: 14.6 months, HR 1.64, p<0.01 and STMICC: 14.7 months, HR 1.68, p<0.01 vs 9.5 months, HR 2.09, p<0.001 and 8.3 months, HR 2.22, p<0.001, respectively). The odds of achieving CR were significantly decreased for alterations in ASXL1, BCOR, SF3B1, SRSF2, STAG2, U2AF1, or RUNX1 compared to wildtype (univariable OR range: 0.38-0.68; BCOR p=0.003; all other p<0.001), with no significant differences for EZH2 (OR: 0.87, p=0.387) or ZRSR2 (OR: 0.96, p=0.882). Median EFS was significantly reduced for patients harboring alterations in ASXL1, BCOR, SF3B1, SRSF2, STAG2, U2AF1, or RUNX1 (HR range: 1.17-1.79; STAG2 p=0.017, all other p<0.001) while there was no difference for EZH2 (HR: 1.11, p=0.167) or ZRSR2 (HR: 1.17, p=0.232) compared to wildtype patients. Significantly reduced median RFS was found for patients with altered ASXL1, BCOR, SF3B1, SRSF2, U2AF1, and RUNX1 (HR range: 1.28-1.88, BCOR p=0.007, SF3B1 p=0.005, all other p<0.001) while EZH2, STAG2, and ZRSR2 showed no significant differences (HR range: 0.93-1.17). Finally, OS was significantly reduced for patients harboring alterations in ASXL1, BCOR, SF3B1, SRSF2, U2AF1, and RUNX1 (HR range: 1.26-1.87, BCOR p=0.002, all other p<0.001) again with no difference for alterations of EZH2, STAG2, and ZRSR2 (HR range: 1.16-1.28). Our analysis highlights that STMs represent an unfavorable risk level between the ELN2022 intermediate and adverse categories while contrasts between individual STMs exist, as not all alterations convey the same degree of adverse prognostic impact.
Authors
- Christian Rausch (ORCID: https://orcid.org/0000-0002-7364-5526)
- Arnaud Pigneux (ORCID: https://orcid.org/0000-0001-5479-0261)
- Johannes Schetelig (ORCID: https://orcid.org/0000-0002-2780-2981)
- Christian Thiede (ORCID: https://orcid.org/0000-0003-1241-2048)
- Éric Delabesse (ORCID: https://orcid.org/0000-0002-0928-0753)
- Christian Récher (ORCID: https://orcid.org/0000-0002-3332-4525)
- Karsten Spiekermann (ORCID: https://orcid.org/0000-0002-5139-4957)
- Arnold Ganser (ORCID: https://orcid.org/0000-0003-3510-4304)
- Sebastian Stasik (ORCID: https://orcid.org/0000-0003-0271-4894)
- Hermann Einsele (ORCID: https://orcid.org/0000-0002-7680-0819)
- Marius Bill (ORCID: https://orcid.org/0000-0002-1175-2406)
- Pierre‐Yves Dumas (ORCID: https://orcid.org/0000-0003-0119-3548)
- Utz Krug (ORCID: https://orcid.org/0009-0003-5777-1420)
- Sebastian Scholl (ORCID: https://orcid.org/0000-0003-2893-3630)
- Wolfgang E. Berdel (ORCID: https://orcid.org/0000-0002-3030-6567)
- Björn Steffen
- Christoph Röllig (ORCID: https://orcid.org/0000-0002-3791-0548)
- Martin Bornhäuser (ORCID: https://orcid.org/0000-0002-5916-3029)
- Klaus Hans Metzeler (ORCID: https://orcid.org/0000-0003-3920-7490)
- Jan‐Niklas Eckardt (ORCID: https://orcid.org/0000-0002-3649-2823)
- Carsten Müller‐Tidow (ORCID: https://orcid.org/0000-0002-7166-5232)
- Claudia Dorothea Baldus (ORCID: https://orcid.org/0000-0002-0748-834X)
- Andreas Hochhaus (ORCID: https://orcid.org/0000-0003-0626-0834)
- Jan Moritz Middeke (ORCID: https://orcid.org/0000-0003-3250-293X)
- Lars Bullinger (ORCID: https://orcid.org/0000-0002-5890-5510)
- Dennis Görlich (ORCID: https://orcid.org/0000-0002-2574-9419)
- Tim H. Brümmendorf (ORCID: https://orcid.org/0000-0002-9677-3723)
- Andreas Neubauer (ORCID: https://orcid.org/0000-0002-7606-8760)
- Michael Heuser (ORCID: https://orcid.org/0000-0001-5318-9044)
- Konstanze Döhner (ORCID: https://orcid.org/0000-0002-2261-9862)
- Barbora Weinbergerová (ORCID: https://orcid.org/0000-0001-6460-2471)
- Kerstin Schaefer-Eckart
- Felicitas Thol (ORCID: https://orcid.org/0000-0001-5848-6152)
- Mathias Hänel (ORCID: https://orcid.org/0000-0002-4767-3275)
- Lars R. Fransecky (ORCID: https://orcid.org/0000-0002-3658-0284)
- Christoph Schliemann (ORCID: https://orcid.org/0000-0003-1755-9583)
- Jan Braess (ORCID: https://orcid.org/0000-0001-6528-2078)
- Andreas Burchert (ORCID: https://orcid.org/0000-0002-8411-8844)
- Sarah Bertoli
- Maher Hanoun (ORCID: https://orcid.org/0000-0002-1754-8940)
- Uwe Platzbecker (ORCID: https://orcid.org/0000-0003-1863-3239)
- Stefan W. Krause (ORCID: https://orcid.org/0000-0002-5259-4651)
- Tobias Herold (ORCID: https://orcid.org/0000-0002-9615-9432)
- Hubert Serve (ORCID: https://orcid.org/0000-0001-8472-5516)
- Hartmut Döhner (ORCID: https://orcid.org/0000-0003-2116-5536)
- Tim Sauer (ORCID: https://orcid.org/0000-0001-5412-324X)
- Martina Crysandt
- Martin Kaufmann (ORCID: https://orcid.org/0000-0003-0163-2205)
- Wolfgang Hiddemann (ORCID: https://orcid.org/0000-0001-7208-4117)
- Bernhard Wörmann
- Jiří Mayer
- Maria Cristina Sauerland
Institutions
- Goethe University Frankfurt (DE)
- Philipps University of Marburg (DE)
- German Cancer Research Center (DE)
- Masaryk University (CZ)
- Heidelberg University (DE)
- University of Münster (DE)
- University Hospital Heidelberg (DE)
- Robert Bosch Hospital (DE)
- LMU Klinikum (DE)
- Centre Hospitalier Universitaire de Toulouse (FR)
- Medizinische Hochschule Hannover (DE)
- Universitätsklinikum Erlangen (DE)
- Munich Leukemia Laboratory (Germany) (DE)
- Institut universitaire du cancer de Toulouse Oncopole (FR)
- University Hospital Brno (CZ)
- University Hospital Münster (DE)
- Fresenius (Germany) (DE)
- National Center for Tumor Diseases (DE)
- University Hospital Schleswig-Holstein (DE)
- Czech Academy of Sciences, Institute of Physics of Materials (CZ)
- Paracelsus Medizinische Privatuniversität (DE)
- Essen University Hospital (DE)
- Hôpital Cardiologique du Haut-Lévêque (FR)
- Krankenhaus Barmherzige Brüder (DE)
- Universitätsklinikum Würzburg (DE)
- University Hospital Frankfurt (DE)
- Jena University Hospital (DE)
- Klinikum Leverkusen (DE)
- University Hospital Ulm (DE)
- University Hospital Carl Gustav Carus (DE)
- Klinikum Chemnitz (DE)
- Deutsches Konsortium für Translationale Krebsforschung (DE)
- Technische Universität Dresden (DE)
- Charité - Universitätsmedizin Berlin (DE)
- Ludwig-Maximilians-Universität München (DE)
- RWTH Aachen University (DE)
- Leipzig University (DE)
- University of Lübeck (DE)
Publication Details
- Journal
- Blood
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1182/blood-2024-201945
- Primary Topic
- Acute Myeloid Leukemia Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Amgen
- Bristol-Myers Squibb
- AstraZeneca
- Gilead Sciences
- Celgene
- Jazz Pharmaceuticals
- Syndax Pharmaceuticals
- Daiichi-Sankyo
- Astellas Pharma
- Servier
- Swedish Orphan Biovitrum
- Loxo Oncology