Identification and validation of potential prognostic gene biomarkers for predicting survival in patients with acute myeloid leukemia.

ABSTRACT:

Background

Molecular analysis is a promising source of clinically useful prognostic biomarkers. The aim of this investigation was to identify prognostic biomarkers for patients with acute myeloid leukemia (AML) by using the gene expression profile dataset from public database.

Methods

The gene expression profile dataset and corresponding overall survival (OS) information of three cohorts of AML patients from GSE12417 and The Cancer Genome Atlas AML project (TCGA-LAML) were included in the present study. Prognostic gene screening was performed by using a survival package, whereas time-dependent receiver operating characteristic (ROC) curve analysis was performed using the survivalROC package.

Results

In the three cohorts, 11 genes were identified that were significantl

SUBMITTER: Huang R 

PROVIDER: S-EPMC5679677 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature