Histone methylation modification patterns and relevant M-RiskScore in acute myeloid leukemia.

ABSTRACT:

Objective

We tried to identify novel molecular subtypes of acute myeloid leukemia (AML) associated with histone methylation and established a relevant scoring system to predict treatment response and prognosis of AML.

Methods

Gene expression data and clinical characteristics of patients with AML were obtained from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database. Molecular subtyping was carried out by consensus clustering analysis, based on the expression of 24 histone methylation modification regulators (HMMRs). The clinical and biological features of each clustered pattern were taken into account. The scoring system was constructed by using differential expression analysis, Cox regression method and lasso regression analysis. Subsequently,

SUBMITTER: Rong D 

PROVIDER: S-EPMC9508520 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature