Weighted gene coexpression network analysis for identifying hub genes in association with prognosis in Wilms tumor.
Mol Med Rep
; 19(3): 2041-2050, 2019 Mar.
Article
em En
| MEDLINE
| ID: mdl-30664180
ABSTRACT
Wilms tumor (WT) is the most common type of renal malignancy in children. Survival rates are low and highrisk WT generally still carries a poor prognosis. To better elucidate the pathogenesis and tumorigenic pathways of highrisk WT, the present study presents an integrated analysis of RNA expression profiles of highrisk WT to identify predictive molecular biomarkers, for the improvement of therapeutic decisionmaking. mRNA sequence data from highrisk WT and adjacent normal samples were downloaded from The Cancer Genome Atlas to screen for differentially expressed genes (DEGs) using R software. From 132 Wilms tumor samples and six normal samples, 2,089 downregulated and 941 upregulated DEGs were identified. In order to identify hub DEGs that regulate target genes, weighted gene coexpression network analysis (WGCNA) was used to identify 11 freescale gene coexpressed clusters. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were annotated using KEGG Orthology Based Annotation System annotation of different module genes. The Search Tool for the Retrieval of Interacting Genes was used to construct a proteinprotein interaction network for the identified DEGs, and the hub genes of WGCNA modules were identified using the Cytohubb plugin with Cytoscape software. Survival analysis was subsequently performed to highlight hub genes with a clinical signature. The present results suggest that epidermal growth factor, cyclin dependent kinase 1, endothelin receptor type A, nerve growth factor receptor, opainteracting protein 5, NDC80 kinetochore complex component and cell division cycle associated 8 are essential to highrisk WT pathogenesis, and they are closely associated with clinical prognosis.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Tumor de Wilms
/
Transcriptoma
/
Neoplasias Renais
/
Proteínas de Neoplasias
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Mol Med Rep
Ano de publicação:
2019
Tipo de documento:
Article