ArticleAnnals of hematology2025
Genetic abnormalities predict outcomes in patients with core binding factor acute myeloid leukemia.
Article in Annals of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Advancements in diagnosis and treatments of acute leukemia.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026Article
- KIT and FLT3-ITD mutations do not predict outcomes in pediatric core-binding factor acute myeloid leukemia: findings from the C-HUANAN-AML-15 multicenter cohort study.Annals of hematology · 2026Article
- Genetic alterations and measurable residual disease in core binding factor acute myeloid leukemia.Leukemia · 2026Article
- Characterization of Acute Myeloid Leukemia With t(16;21) Translocation: Cytogenetic, Molecular, and Immunophenotypic Findings.World journal of oncology · 2026Article
- Prognostic covariates associated with outcomes in patients with NPM1-mutated acute myeloid leukemia.The oncologist · 2025Article
- Article
- Article
- A Five-Gene Signature for the Prediction of Event-Free Survival of Both Pediatric and Adult Acute Myeloid Leukemia.Diagnostics (Basel, Switzerland) · 2025Article
- Endoplasmic Reticulum Stress in Acute Myeloid Leukemia: Pathogenesis, Prognostic Implications, and Therapeutic Strategies.International journal of molecular sciences · 2025Review
Corrections and comments
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Authors and funding
21 authors.
Funding
Abstract
Research on the comprehensive integration of clinical and genomic characteristics in patients with core binding factor acute myeloid leukemia (CBF-AML) is limited. Clinical and genomic data from consecutive patients with CBF-AML were reviewed. A Cox regression model was used to identify the variables associated with event-free survival (EFS), relapse-free survival (RFS) and overall survival (OS). A total of 346 CBF-AML patients (211 with RUNX1::RUNX1T1 and 135 with CBFB::MYH11) were included in this study. In the RUNX1::RUNX1T1 cohort, multivariate analyses revealed that KDM6A mutations were significantly associated with poor RFS (hazard ratio = 3.1 [1.4, 7.1], p = 0.007) and OS (HR = 11.5 [3.6, 37.0], p < 0.001); FLT3-TKD mutations, poor OS (HR = 4.9 [1.7, 14.3], p = 0.004); KIT mutation VAF > 25%, poor RFS (KIT
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