Novel prognostic genes and subclasses of acute myeloid leukemia revealed by survival analysis of gene expression data.

ABSTRACT:

Background

Acute myeloid leukemia (AML) is biologically heterogeneous diseases with adverse prognosis. This study was conducted to find prognostic biomarkers that could effectively classify AML patients and provide guidance for treatment decision making.

Methods

Weighted gene co-expression network analysis was applied to detect co-expression modules and analyze their relationship with clinicopathologic characteristics using RNA sequencing data from The Cancer Genome Atlas database. The associations of gene expression with patients' mortality were investigated by a variety of statistical methods and validated in an independent dataset of 405 AML patients. A risk score formula was created based on a linear combination of five gene expression levels.

Results

The weighted

SUBMITTER: Lai Y 

PROVIDER: S-EPMC7860023 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature