Identification of potential key genes and miRNAs involved in Hepatoblastoma pathogenesis and prognosis.

ABSTRACT: Hepatoblastoma (HB) is one of the most common liver malignancies in children, while the molecular basis of the disease is largely unknown. Therefore, this study aims to explore the key genes and molecular mechanisms of the pathogenesis of HB using a bioinformatics approach. The gene expression dataset GSE131329 was used to find differentially expressed genes (DEGs). Functional and enrichment analyses of the DEGs were performed by the EnrichR. Then, the protein-protein interaction (PPI) network of the up-regulated genes was constructed and visualized using STRING database and Cytoscape software, respectively. MCODE was used to detect the significant modules of the PPI network, and cytoHubba was utilized to rank the important nodes (genes) of the PPI modules. Overall, six ranking methods wer

SUBMITTER: Aghajanzadeh T 

PROVIDER: S-EPMC7904995 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature