Blood Cancer Journal (Sep 2024)

Therapy-related AML: long-term outcome in a large cohort of AML-patients with intensive and non-intensive therapy

  • Sophia Gross,
  • Jana Ihlow,
  • Leonie Busack,
  • Kacper Adamiak,
  • Jens Schrezenmeier,
  • Julia Jesse,
  • Michaela Schwarz,
  • Anne Flörcken,
  • Lam Giang Vuong,
  • Kathrin Rieger,
  • Jan Krönke,
  • Philipp le Coutre,
  • Vivien Boldt,
  • Ann-Christin von Brünneck,
  • David Horst,
  • Thomas Burmeister,
  • Igor-Wolfgang Blau,
  • Ulrich Keller,
  • Lars Bullinger,
  • Jörg Westermann

DOI
https://doi.org/10.1038/s41408-024-01140-5
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 10

Abstract

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Abstract Therapy-related acute myeloid leukemia (t-AML) often exhibits adverse (genetic) features. There is ongoing discussion on the impact of t-AML on long-term outcome in AML. Therefore, we retrospectively analyzed clinical and biological characteristics of 1133 AML patients (225 t-AML patients and 908 de novo AML patients) with a median follow-up of 81.8 months. T-AML patients showed more adverse genetic alterations, higher age and more comorbidities as compared to de novo AML. Median OS in intensively treated t-AML patients was 13.7 months as compared to 39.4 months in de novo AML (p < 0.001). With non-intensive therapy, OS did not differ significantly (p = 0.394). With intensive therapy, significant differences in favor of de novo AML were observed in the ELN intermediate I/II (p = 0.009) and adverse (p = 0.016) risk groups but not within favorable risk groups (APL p = 0.927, ELN favorable p = 0.714). However, t-AML was no independent risk factor for OS (p = 0.103), RR (p = 0.982) and NRM (p = 0.320) in the multivariate analysis. A limitation of our study is an ELN 2010 risk stratification due to a lack of more comprehensive molecular data according to ELN 2022. We conclude that therapeutic algorithms in t-AML, in particular with regard to allo-HSCT, should be guided by ELN genetic risk rather than classification as t-AML alone. Our data support the WHO and ICC 2022 classifications, which include t-AML as diagnostic qualifier rather than a separate subcategory.