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

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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Journal
Blood
Published
2024-08-12
DOI
https://doi.org/10.1182/blood.2024024944
Citations
114
Primary Topic
Acute Myeloid Leukemia Research
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article
Field-Weighted Citation Impact
51.80
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article

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

Andre C. Schuh, Andrew H. Wei, Sunil Babu, Courtney Denton Dinardo et al.
114 citations
Blood
Acute Myeloid Leukemia Research
51.80
article

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

Andre C. Schuh, Andrew H. Wei, Sunil Babu, Courtney Denton Dinardo, Christian Récher, Yan Sun, Vinod A. Pullarkat, Daniel A. Pollyea, Michael J. Thirman, Keith William Pratz, Grace Ku, Brenda Chyla, Brian A. Jonas, Hartmut Döhner, Monique Dail, Jalaja Potluri, Xiaotong Li, Zihuan Liu
article en
114 citations

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.

BloodVol. 144(21)
The Royal Melbourne Hospital (AU), Amgen (United States) (US), The University of Texas MD Anderson Cancer Center (US), The University of Melbourne (AU), Walter and Eliza Hall Institute of Medical Research (AU), Peter MacCallum Cancer Centre (AU), Princess Margaret Cancer Centre (CA), AbbVie (United States) (US), Centre Hospitalier Universitaire de Toulouse (FR), University of Chicago (US), Fort Wayne Medical Institute (US), City of Hope (US), University Hospital Ulm (DE), University of Colorado Anschutz Medical Campus (US), University of Pennsylvania (US), University of California, Davis (US), University of Colorado Denver (US)
Reduced inequalities
Openalex Percentile: Top 0%
Acute Myeloid Leukemia Research
51.80
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