Unknown

Dataset Information

Prognostic implications of metabolism-related genes in acute myeloid leukemia.


ABSTRACT:

Introduction

Acute myeloid leukemia(AML) is a diverse malignancy with a prognosis that varies, being especially unfavorable in older patients and those with high-risk characteristics. Metabolic reprogramming has become a significant factor in AML development , presenting new opportunities for prognostic assessment and therapeutic intervention.

Methods

Metabolism-related differentially expressed genes (mDEGs) were identified by integrating KEGG metabolic gene lists with AML gene expression data from GSE63270. Using TCGA data, we performed consensus clustering and survival analysis to investigate the prognostic significance of mDEGs. A metabolic risk model was constructed using LASSO Cox reg ression and enhanced by a nomogram incorporated clinical characteristics. The model wa

SUBMITTER: Ren N 

PROVIDER: S-EPMC11484252 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature