Literature-Guided 6-Gene Signature for the Stratification of High-Risk Acute Myeloid Leukemia.

ABSTRACT:

Purpose

Acute myeloid leukemia (AML) shows significant heterogeneity in therapeutic responses. We aimed to develop a gene signature for the stratification of high-risk pediatric AML using publicly available AML datasets, with a focus on literature-based prognostic gene sets.

Materials and methods

We identified 300 genes from 12 well-validated studies on AML-related gene signatures. Clinical and gene expression data were obtained from three datasets: TCGA-LAML, TARGET-AML, and BeatAML. Least absolute shrinkage and selection operator-Cox regression analysis was used to perform the initial gene selection and to construct a prognostic model using the The Cancer Genome Atlas (TCGA) database (n=132). The final gene signature was validated with two independent cohorts: BeatAML (n=4

SUBMITTER: Song JK 

PROVIDER: S-EPMC12527631 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature