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Dataset Information

A novel prognostic model of methylation-associated genes in acute myeloid leukemia.


ABSTRACT:

Background

There is growing evidence that methylation-associated genes (MAGs) play an important role in the prognosis of acute myeloid leukemia (AML) patients. Thus, the aim of this research was to investigate the impact of MAGs in predicting the outcomes of AML patients.

Methods

The expression profile and clinical information of patients were downloaded from public databases. A novel prognostic model based on 7 MAGs was established in the TCGA training cohort and validated in the GSE71014 dataset. To validate the clinical implications, the correlation between MAGs signature and drug sensitivity was further investigated.

Results

76 genes were screened out by the univariate Cox regression and significantly enriched in multiple methylation-related pathways. After filter

SUBMITTER: Chen M 

PROVIDER: S-EPMC10203004 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature