Prognosis Implication of a Novel Metabolism-Related Gene Signature in Ewing Sarcoma.
Ontology highlight
ABSTRACT: Ewing sarcoma (ES) is one of the most common bone cancers in adolescents and children. Growing evidence supports the view that metabolism pathways play critical roles in numerous cancers (He et al. (2020)). However, the correlation between metabolism-associated genes (MTGs) and Ewing sarcoma has not been investigated systematically. Here, based on the univariate Cox regression analysis, we get survival genes from differentially expressed genes (DEGs) from Gene Expression Omnibus (GEO) cohort. Multivariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) regression analysis were employed to establish the MTG signature. Comprehensive survival analyses including receiver operating characteristic (ROC) curves and Kaplan-Meier analysis were applied to estimate
SUBMITTER: Chen ZY
PROVIDER: S-EPMC8683175 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
ACCESS DATA