Comprehensive analysis of multi Ewing sarcoma microarray datasets identifies several prognosis biomarkers.

ABSTRACT: Ewing sarcoma (ES) is a common primary malignancy in children and adolescents. Progression of treatment methods hasn't contributed a lot to the imrovement of prognosis. To identify potential prognostic biomarkers, a meta‑analysis pipeline of multi‑gene expression datasets for ES from the Gene Expression Omnibus (GEO) was performed. Three datasets were screened and differential expression genes (DEGs) in ES samples compared with normal tissues were identified through limma package and subjected to network analysis. As a result, 1,470 DEGs were obtained which were mainly involved in biological processes associated with immune response and transcription regulation. Network analysis obtained 22 core genes with high network degree and fold change. Kaplan‑Meier analysis based on ES datasets from

SUBMITTER: Yin X 

PROVIDER: S-EPMC6172382 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature