Unknown

Dataset Information

Identification and validation of prognostic genes associated with m6A-regulated programmed cell death in acute lymphoblastic leukemia.


ABSTRACT: This study investigated the prognostic significance of m6A-related programmed cell death (PCD) genes in acute lymphoblastic leukemia (ALL). Transcriptomic data from the TCGA-ALL and GSE48558 datasets were analyzed to identify m6A-related PCD genes (corgenes), which were then intersected with 3,063 differentially expressed genes (DEGs), resulting in 23 candidate genes. Univariate Cox regression and LASSO regression analyses identified CFLAR and CDK4 as key prognostic genes, facilitating the construction of a high-accuracy risk prediction model. Gene set enrichment analysis (GSEA) revealed significant pathway differences between the high-risk group (HRG) and the low-risk group (LRG), including olfactory transduction, circadian rhythm, and protein export (adj.P < 0.05). Sensitivity analysis o

SUBMITTER: Zhang J 

PROVIDER: S-EPMC12578898 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature