Bioinformatics analysis and identification of genes and pathways involved in patients with Wilms tumor.

ABSTRACT:

Background

Wilms tumor is the most common childhood kidney malignant tumor. However, the genes and signaling pathways associated with the disease remain incompletely understood.

Methods

GSE66405, GSE73209, and GSE11151 were collected from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were detected using R software. A protein-protein interaction (PPI) network was constructed using the STRING database, and the clustering modules and hub genes were analyzed with the Cytoscape software. Genes functional enrichment analyses were performed using the package "clusterProfiler" in R software, and the gene set enrichment analysis (GSEA) analysis was performed using GSEA v4.1.0 software.

Results

Respectively, 3,092, 620, and 3,567 DEGs wer

SUBMITTER: Li Y 

PROVIDER: S-EPMC9459508 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature