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Genetic risk stratification and outcomes among treatment-naive patients with AML treated with venetoclax and azacitidine

Hartmut Döhner1Department of Internal Medicine III, Ulm University Hospital, Ulm, GermanyKeith W. Pratz2Division of Hematology-Oncology, Department of Medicine, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PACourtney D. DiNardo3Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TXAndrew H. Wei4Department of Clinical Haematology, Peter MacCallum Cancer Centre, The Royal Melbourne Hospital, Walter and Eliza Hall Institute of Medical Research and The University of Melbourne, Melbourne, AustraliaBrian A. Jonas5Division of Malignant Hematology/Cellular Therapy and Transplantation, Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, CAVinod Pullarkat6Department of Hematology and Hematopoietic Cell Transplantation, City of Hope Comprehensive Cancer Center, Duarte, CAMichael J. Thirman7Department of Medicine, Section of Hematology and Oncology, University of Chicago Medicine, Chicago, ILChristian Récher8Service d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, FranceAndre C. Schuh9Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, CanadaSunil Babu10Division of Clinical Research, Fort Wayne Medical Oncology and Hematology, Fort Wayne, INXiaotong Li11AbbVie Inc, North Chicago, ILGrace Ku12Genentech Inc, South San Francisco, CAZihuan Liu11AbbVie Inc, North Chicago, ILYan Sun11AbbVie Inc, North Chicago, ILJalaja Potluri11AbbVie Inc, North Chicago, ILMonique Dail12Genentech Inc, South San Francisco, CABrenda Chyla11AbbVie Inc, North Chicago, ILDaniel A. Pollyea13Division of Hematology, School of Medicine, University of Colorado, Aurora, CO
2024en
ABI

Аннотация

ABSTRACT: The European LeukemiaNet (ELN) acute myeloid leukemia (AML) genetic risk classification systems are based on response to intensive chemotherapy; their ability to discriminate outcomes in older patients treated with venetoclax-azacitidine may be suboptimal. This pooled analysis of the phase 3 VIALE-A trial (NCT02993523) and phase 1b study (NCT02203773) examined prognostic stratification according to the 2017 and 2022 ELN risk classifications and derived new molecular signatures differentiating venetoclax-azacitidine-treated patients based on overall survival (OS). Overall, 279 patients treated with venetoclax-azacitidine and 113 patients treated with placebo-azacitidine were analyzed. The ELN 2017 or 2022 prognostic criteria classified most patients as adverse-risk AML (60.2% and 72.8% for venetoclax-azacitidine and 65.5% and 75.2% for placebo-azacitidine, respectively). Although outcomes with venetoclax-azacitidine improved across all ELN risk groups compared with placebo-azacitidine, ELN classification systems poorly discriminated venetoclax-azacitidine outcomes. By applying a bioinformatic algorithm, new molecular signatures were derived differentiating OS outcomes with venetoclax-azacitidine. The mutational status of TP53, FLT3 internal tandem duplication (FLT3-ITD), NRAS, and KRAS categorized patients into higher-, intermediate-, and lower-benefit groups (52%, 25%, and 23% of patients, respectively), each associated with a distinct median OS (26.5 months [95% confidence interval (CI), 20.2-32.7]; 12.1 months [95% CI, 7.3-15.2]; and 5.5 months [95% CI, 2.8-7.6], respectively). ELN prognostic classifiers did not provide clinically meaningful risk stratification of OS outcomes in patients treated with venetoclax-azacitidine. TP53, FLT3-ITD, NRAS, and KRAS mutation status allows the classification of these patients into 3 risk groups with distinct differences in median OS. These trials were registered at www.clinicaltrials.gov as #NCT02993523 and #NCT02203773.

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