Bioinformatics Analysis of ZBTB16 as a Prognostic Marker for Ewing's Sarcoma.

ABSTRACT:

Objective

The purpose of this study is to identify novel biomarkers for the prognosis of Ewing's sarcoma based on bioinformatics analysis.

Methods

The GSE63157 and GSE17679 datasets contain patient and healthy control microarray data that were downloaded from the Gene Expression Omnibus (GEO) database and analyzed through R language software to obtain differentially expressed genes (DEGs). Firstly, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment, protein-protein interaction (PPI) networks, and Cytoscape Molecular Complex Detection (MCODE) plug-in were then used to compute the highest scores of the module. After survival analysis, the hub genes were lastly obtained from the two module genes.

Results

A total of 1181 DEGs were

SUBMITTER: Ding K 

PROVIDER: S-EPMC8514890 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature