ArticleHaematologica2024
Prognostic value of European LeukemiaNet 2022 criteria and genomic clusters using machine learning in older adults with acute myeloid leukemia.
Article in Haematologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 11 citations in OpenAlex.
- Putting the I in AML: Artificial Intelligence and Machine Learning in Acute Myeloid Leukemia.Cells · 2026Review
- Real-World Outcomes of Acute Myeloid Leukemia Patients Undergoing Treatment With Tyrosine Kinase Inhibitor (TKI) Therapy Targeting FLT3, IDH1, or IDH2.Cancer reports (Hoboken, N.J.) · 2026Article
- Artificial Intelligence for Personalized Management of Acute Myeloid Leukemia.Journal of personalized medicine · 2026Review
- Evolving Management Approaches Toward Personalized Therapy in Acute Myeloid Leukemia: A Narrative Review.Journal of personalized medicine · 2026Review
- Treatment-specific prognostic performance of ELN 2022, ELN 2024, and Beat AML 2024: a real-world AML validation study.Blood neoplasia · 2026Article
- Unravelling co-mutational patterns with prognostic implications in NPM1 mutated adult acute myeloid leukemia - a HARMONY study.Leukemia · 2026Article
- Multi-omics integration of molecular genetics, cytogenetics and immunophenotyping: a novel prognostic model for immune landscape characterization and outcome prediction in Chinese patients with acute myeloid leukemia.Frontiers in immunology · 2026Article
- Observational
- Outcomes of Elderly Patients Admitted to the Intensive Care Unit for Newly Diagnosed Acute Myeloid Leukemia.European journal of haematology · 2025Article
- Validation of the revised 2022 European LeukemiaNet risk stratification in adult patients with acute myeloid leukemia.Blood advances · 2025Article
- Acute Myeloid Leukemia in Older Patients: From New Biological Insights to Targeted Therapies.Current oncology (Toronto, Ont.) · 2024Review
- Beat-AML 2024 ELN-refined risk stratification for older adults with newly diagnosed AML given lower-intensity therapy.Blood advances · 2024Article
- Article
- Article
- Using machine learning to unravel the intricacy of acute myeloid leukemia.Haematologica · 2024Article
- Construction of a prognostic hierarchical model of intermediate-risk acute myeloid leukemia based on machine learning.Digital healthArticle
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Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to validate the new European Leukemia Net (ELN) 2022 criteria for genetic risk stratification in older adults with acute myeloid leukemia (AML) and to determine the most likely set of clusters of similar cytogenetic and mutation properties correlated with survival outcomes in three treatment groups: intensive chemotherapy (IC), hypomethylating agents (HMA) alone, and HMA plus venetoclax (HMA/VEN). The study included 279 patients (aged ≥60 years) who received IC (N=131), HMA (N=76), and HMA/VEN (N=72) between July 2017 and October 2021. No significant differences were observed in survival among the groups according to ELN 2022 risk stratification. Unsupervised hierarchical clustering analysis identified nine genomic clusters (C1-9) with varying survival outcomes depending on treatment type. For example, C4 (predominant for core binding factor-AML) displayed a favorable prognosis in the IC group, but not in the HMA or HMA/VEN groups. The HMA/VEN group had better outcomes than the HMA group in many clusters (C1, 2, 3, and 5); however, the addition of VEN to HMA or IC did not improve the survival outcomes compared with those of HMA alone in C7 and C9 (predominant for -5, del(5q), -7, -17/abn(17p), complex karyotypes, and mutated TP53). The study highlights the limitations of ELN genetic risk stratification in older adults with AML. It emphasizes the need for a more comprehensive approach that considers co-occurring somatic mutations to guide treatment selection in older adults with AML.
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