Identifying prognosis and metastasis‑associated genes associated with Ewing sarcoma by weighted gene co‑expression network analysis

摘要: Ewing sarcoma (ES) is a highly malignant pediatric tumor with low survival rate and high of metastasis. However, there have been limited reports on the exploration new biomarkers ES. Therefore, aim present study was to identify potential hub genes associated overall vital (OVS) metastasis in Traditional methods for identifying differentially expressed lack in-depth information mechanistic studies. In this study, weighted co-expression network ES constructed through gene analysis modules clinical phenotypes. The metastasis- OVS-related were extracted, association between patient OVS verified another independent Gene Expression Omnibus dataset. Functional annotations protein-protein interaction also used understand regulatory mechanisms. results functional enrichment revealed that OVS-associated module mainly enriched cell cycle immune response, metastasis-associated metabolism. A total four (proteasome subunit α4, L1 adhesion molecule, serine/threonine kinase receptor-associated protein cytotoxic T-lymphocyte-associated 4) two (calcium voltage-gated channel auxiliary γ2 γ-aminobutyric acid type B receptor 2) metastasis-related selected as genes. Further research identified may contribute understanding mechanism progression.