Identification of the hub genes and pathways involved in acute myeloid leukemia using bioinformatics analysis.

ABSTRACT:

Background

We identified the hub genes and pathways dysregulated in acute myeloid leukemia and the potential molecular mechanisms involved.

Methods

We downloaded the GSE15061 gene expression dataset from the Gene Expression Omnibus database and used weighted gene co-expression network analysis to identify hub genes. Differential expression of the genes was evaluated using the limma package in R software. Subsequently, we built a protein-protein interaction network followed by functional enrichment analysis. Then, the prognostic significance of gene expression was explored in terms of overall survival. Finally, transcription factor-mRNA (ribonucleic acid) and microRNA-mRNA interaction analysis was also explored.

Results

We identified 100 differentially expressed hub ge

SUBMITTER: Tan Y 

PROVIDER: S-EPMC7458232 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature