Development and Validation of a Five-RNA-Based Signature and Identification of Candidate Drugs for Neuroblastoma.

ABSTRACT: Neuroblastoma (NBL) originating from the sympathetic nervous system is the most prevalent solid tumor in infancy. Although there is sufficient variability in prognosis among different age pyramids, age-related gene expression profiles and biomarkers remain poorly explored. The present study aimed to construct a signature based on differentially expressed genes (DEGs) between two age groups in NBL. Univariate Cox regression, multivariate Cox regression, and LASSO analyses were used to identify the optimal prognostic factors. The prediction ability of the model was assessed using the receiver operating characteristic (ROC) curve and C-index. Functional enrichment analysis was performed using the Kyoto Encyclopedia of Genes and Genomes and gene ontology databases. A total of 1,160 DEGs were i

SUBMITTER: Zhang P 

PROVIDER: S-EPMC8564070 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature