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Multiomic profiling identifies predictors of survival in African American patients with acute myeloid leukemia.
- Source :
-
Nature genetics [Nat Genet] 2024 Nov; Vol. 56 (11), pp. 2434-2446. Date of Electronic Publication: 2024 Oct 04. - Publication Year :
- 2024
-
Abstract
- Genomic profiles and prognostic biomarkers in patients with acute myeloid leukemia (AML) from ancestry-diverse populations are underexplored. We analyzed the exomes and transcriptomes of 100 patients with AML with genomically confirmed African ancestry (Black; Alliance) and compared their somatic mutation frequencies with those of 323 self-reported white patients with AML, 55% of whom had genomically confirmed European ancestry (white; BeatAML). Here we find that 73% of 162 gene mutations recurrent in Black patients, including a hitherto unreported PHIP alteration detected in 7% of patients, were found in one white patient or not detected. Black patients with myelodysplasia-related AML were younger than white patients suggesting intrinsic and/or extrinsic dysplasia-causing stressors. On multivariable analyses of Black patients, NPM1 and NRAS mutations were associated with inferior disease-free and IDH1 and IDH2 mutations with reduced overall survival. Inflammatory profiles, cell type distributions and transcriptional profiles differed between Black and white patients with NPM1 mutations. Incorporation of ancestry-specific risk markers into the 2022 European LeukemiaNet genetic risk stratification changed risk group assignment for one-third of Black patients and improved their outcome prediction.<br /> (© 2024. The Author(s).)
- Subjects :
- Adult
Aged
Female
Humans
Male
Middle Aged
Biomarkers, Tumor genetics
Gene Expression Profiling
GTP Phosphohydrolases genetics
Isocitrate Dehydrogenase genetics
Membrane Proteins genetics
Nuclear Proteins genetics
Prognosis
Transcriptome
White genetics
Black or African American genetics
Leukemia, Myeloid, Acute genetics
Leukemia, Myeloid, Acute mortality
Mutation
Nucleophosmin
Subjects
Details
- Language :
- English
- ISSN :
- 1546-1718
- Volume :
- 56
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Nature genetics
- Publication Type :
- Academic Journal
- Accession number :
- 39367245
- Full Text :
- https://doi.org/10.1038/s41588-024-01929-x