Identification of novel prognostic markers of survival time in high-risk neuroblastoma using gene expression profiles.

ABSTRACT: Neuroblastoma is the most common extracranial solid tumor in childhood. Patients in high-risk group often have poor outcomes with low survival rates despite several treatment options. This study aimed to identify a genetic signature from gene expression profiles that can serve as prognostic indicators of survival time in patients of high-risk neuroblastoma, and that could be potential therapeutic targets. RNA-seq count data was downloaded from UCSC Xena browser and samples grouped into Short Survival (SS) and Long Survival (LS) groups. Differential gene expression (DGE) analysis, enrichment analyses, regulatory network analysis and machine learning (ML) prediction of survival group were performed. Forty differentially expressed genes (DEGs) were identified including genes involved in molec

SUBMITTER: Giwa A 

PROVIDER: S-EPMC7679032 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature