Abstract
BACKGROUND: Acute leukaemias are rare but highly aggressive malignancies, but only limited population-level data are available for Germany. We aimed to describe epidemiology, survival, and therapies of acute myeloid leukaemia (AML) and acute lymphoblastic leukaemia (ALL) in Germany using nationwide cancer registry data.
METHODS: We conducted a population-based analysis of all incident cases of AML and ALL in Germany, identified via ICD codes from mandatory cancer registry reporting, to assess incidence, treatment, and survival outcomes.
FINDINGS: We identified 25,788 patients with AML and 6480 patients with ALL diagnosed between 2016 and 2021 aged 0-101 years. The age-standardized incidence rate was 4.72/100,000 for AML (median age 72.8 years, IQR 61.0-80.3) and 1.36/100,000 for ALL (median age 19.4 years, IQR 5.2-58.6). The three- and five-year overall survival was 29.0% (95% CI: 28.3-29.7) and 23.8% (95% CI: 23.1-24.7) in AML, and 64% (95% CI: 62.2-65.9) and 58% (95% CI: 55.7-60.2) in ALL. Survival was highly dependent on age, with children (0-18 years) showing the highest three-year survival rates in AML (76.4%, 95% CI: 70.2-83.2) and ALL (91.9%, 95% CI: 89.8-94.1) compared to older adults. Moreover, area-based income and social deprivation were linked to survival, with three-year survival reduced by up to 4% in lower-income counties. Based on German federal population estimates, AML cases are expected to rise by 14.6%, while ALL cases will decline by 2.3% between 2020 and 2050.
INTERPRETATION: We provide incidence and survival data to inform future clinical trials, guide resource allocation, and support healthcare planning to improve real-world outcomes and address disparities in acute leukaemia.
FUNDING: German Research Foundation (DFG).
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 101503 |
| Zeitschrift | The Lancet regional health. Europe |
| Jahrgang | 59 |
| Seiten (von - bis) | 101503 |
| ISSN | 2666-7762 |
| Publikationsstatus | Veröffentlicht - 12.2025 |
Fördermittel
Jakob Christoph Voran and Manuel Hecht receive support by the Clinician Scientist Program of the medical faculty of the Christian-Albrechts-University Kiel . German Research Foundation (DFG).David Baden is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—project number 413490537 within the Kiel Clinician Scientist Program in Evolutionary Medicine (CSEM). Philipp M. Altrock is funded by a DFG Heisenberg-Professorship, project number 525136051. Jakob Christoph Voran and Manuel Hecht receive support by the Clinician Scientist Program of the medical faculty of the Christian-Albrechts-University Kiel. We thank the staff of all 15 state cancer registries (Baden-Württemberg, Bavaria, Berlin/Brandenburg, Bremen, Hamburg, Hesse, Mecklenburg-Western Pomerania, Lower Saxony, North Rhine-Westphalia, Rhineland-Palatinate, Saarland, Saxony, Saxony-Anhalt, Schleswig–Holstein and Thuringia) as well as the staff of the Epidemiological Cancer Registry of Niedersachsen, the Centre for Cancer Registry Data of the RKI, and the national German Childhood Cancer Registry for the thorough processing and transmission of the data. The registries were not involved in the evaluation and interpretation and take no responsibility for the content of the manuscript. Special thanks to Lina Jansen, Benedikt Hruschka, Annika Waldmann, Silke Hermann, Saskia Thies, Kerstin Maaser, and Ron Pritzkuleit. David Baden is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—project number 413490537 within the Kiel Clinician Scientist Program in Evolutionary Medicine (CSEM). Philipp M. Altrock is funded by a DFG Heisenberg-Professorship, project number 525136051.
| Träger | Trägernummer |
|---|---|
| Clinician Scientist Program of the medical faculty of the Christian-Albrechts-University Kiel | |
| national German Childhood Cancer Registry | |
| Christian-Albrechts-Universität zu Kiel | |
| Deutsche Forschungsgemeinschaft | 413490537 |
| Deutsche Forschungsgemeinschaft (DFG) | 525136051 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
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SDG 5 – Gender Equality
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SDG 10 – Weniger Ungleichheiten
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SDG 12 – Verantwortungsvoller Konsum und Produktion
Strategische Forschungsbereiche und Zentren
- Profilbereich: Zentrum für Bevölkerungsmedizin und Versorgungsforschung (ZBV)
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