A novel immune-related gene signature correlated with serum IL33 expression in acute myeloid leukemia prognosis.

ABSTRACT:

Purpose

To identify and validate the immune-related gene signature in patients with acute myeloid leukemia (AML).

Methods

Differentially expressed genes (DEGs) profiles and survival data were obtained from The Cancer Genome Atlas (TCGA), following screened immune-associated genes from the InnateDB database. Subsequently, the weighted gene co-expression network analysis (WGCNA) was used to detect functional modules, and survival analysis was performed. The least absolute shrinkage and selection operator (LASSO) regression model combined with a partial likelihood-based Cox proportional hazard regression model was applied to select prognostic genes, and the ESTIMATE algorithm was used to construct an immune score-based risk assessment model. Finally, two independent datasets fr

SUBMITTER: Xie JY 

PROVIDER: S-EPMC10331686 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature