Ontology highlight
ABSTRACT: Background
Acute myeloid leukemia (AML) is a hematological malignancy characterized by complex immune microenvironment. This study aims to identify immune-related prognostic biomarkers in AML.Methods
Multiple public sequencing datasets were utilized to analyze differentially expressed genes (DEGs) in AML. Single-sample gene set enrichment analysis (ssGSEA) and weighted gene co-expression network analysis (WGCNA) were also performed. Immune cell infiltration was assessed at the single-cell level. NKT cell marker genes were intersected with the most AML-relevant module genes to identify key genes. Prognostic genes were screened using the Cox Lasso regression model, and their prognostic value was evaluated with Cox random forest and Kaplan-Meier survival analyses. Gene express
SUBMITTER: Liu Q
PROVIDER: S-EPMC11995611 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature