Identification of potential gene signatures associated with osteosarcoma by integrated bioinformatics analysis.

ABSTRACT:

Background

Osteosarcoma (OS) is the most primary malignant bone cancer in children and adolescents with a high mortality rate. This work aims to screen novel potential gene signatures associated with OS by integrated microarray analysis of the Gene Expression Omnibus (GEO) database.

Material and methods

The OS microarray datasets were searched and downloaded from GEO database to identify differentially expressed genes (DEGs) between OS and normal samples. Afterwards, the functional enrichment analysis, protein-protein interaction (PPI) network analysis and transcription factor (TF)-target gene regulatory network were applied to uncover the biological function of DEGs. Finally, two published OS datasets (GSE39262 and GSE126209) were obtained from GEO database for evaluating t

SUBMITTER: Jia Y 

PROVIDER: S-EPMC8164836 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature