Genomic structural variations contribute to inform prognosis in patients with cytogenetically normal acute myeloid leukemia.
코호트
1/5 보강
Cytogenetic and genomic profiling of acute myeloid leukemia (AML) guides personalized treatment according to ELN2022 recommendations.
- p-value p < 0.001
- HR 4.18
APA
Bartalucci N, Mannelli F, et al. (2026). Genomic structural variations contribute to inform prognosis in patients with cytogenetically normal acute myeloid leukemia.. Blood cancer journal, 16(1). https://doi.org/10.1038/s41408-026-01465-3
MLA
Bartalucci N, et al.. "Genomic structural variations contribute to inform prognosis in patients with cytogenetically normal acute myeloid leukemia.." Blood cancer journal, vol. 16, no. 1, 2026.
PMID
41792115
Abstract
Cytogenetic and genomic profiling of acute myeloid leukemia (AML) guides personalized treatment according to ELN2022 recommendations. However, marked outcome variability persists among cytogenetically normal (CN-) patients, representing an unmet clinical need. We used long-read whole-genome sequencing to interrogate the prognostic significance of structural variations (SVs) in a prospective cohort of 162 intensively treated CN-AML patients. After stringent filtering, we identified 5 somatic SVs associated with shorter overall survival (OS) (HR:4.18, p < 0.001) and event-free survival (EFS) (HR:3.59, p < 0.001) in 13% of the patients. Results were validated in a real-world cohort of 149 CN-AML, using target assays. These high-risk SVs (HRVs) operationally defined a "very high-risk" category in the framework of ELN2022, overall resulting in more accurate OS prediction. HRVs were independent of most frequent mutations, particularly FLT3 and NPM1. Among the latter patients, HRVs independently predicted shorter OS (8.2 months versus not-reached; p < 0.001), EFS (3.5 versus 25.7 months; p < 0.001), and lower complete response rates (66.7% versus 90.1%; p < 0.005). Finally, we provided evidence of transcriptional deregulation of SV-related genes in primary samples and engineered cell models. Current findings support the value of SVs for refining risk stratification in CN-AML, by identifying patients at exceedingly dismal outcome who might benefit from personalized approaches.
MeSH Terms
Humans; Leukemia, Myeloid, Acute; Nucleophosmin; Prognosis; Male; Female; Middle Aged; Aged; Adult; Genomic Structural Variation; Mutation; Aged, 80 and over; Prospective Studies; Young Adult; Whole Genome Sequencing; Genomics