Ontology highlight
ABSTRACT: Background
Osteosarcoma was the most common primary bone malignancy in children and adolescents. It was imperative to identify effective prognostic biomarkers for this cancer. This study was aimed to identify potential crucial genes of osteosarcoma by integrated bioinformatics analysis.Methods
Identification of differentially expressed genes from public data gene expression profiles (GSE42352), functional and pathway enrichment analysis, protein-protein interaction (PPI) network construction and module analysis, Cox regression and survival analysis was conducted.Results
Totally 17 co-differential genes were found to be differentially expressed. These genes were enriched in biological processes, Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment A
SUBMITTER: Yao F
PROVIDER: S-EPMC8285818 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature