Derivation of a novel multi-gene prognostic model based on regulated cell death pathways in acute myeloid leukemia: A comprehensive bioinformatic analysis integrating gene expression, mutation profiling, and immune infiltration.

ABSTRACT:

Background

Acute myeloid leukemia (AML) is a highly aggressive hematologic malignancy with dismal survival outcomes, where dysregulation of regulated cell death (RCD) pathways plays a pivotal role in leukemogenesis and therapeutic resistance.

Methods

Differential expression analyses were performed comparing AML samples with healthy bone marrow. Diagnostic differentially expressed genes (DEGs) were then intersected with curated gene sets representing apoptosis, pyroptosis, autophagy, necroptosis, and ferroptosis to derive an RCD-based gene signature. Prognostic markers were identified by univariate Cox regression, and these markers were refined using LASSO regression to construct a multi-gene prognostic model that generated an individual risk score (RS) for each patient. The

SUBMITTER: Ahmadi A 

PROVIDER: S-EPMC12316299 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature