Identification of Prognostic Genes in Neuroblastoma in Children by Weighted Gene Coexpression Network Analysis.

ABSTRACT:

Background

Neuroblastoma is a malignant neuroendocrine tumor from the sympathetic nervous system, the most common extracranial tumor in children. Identifying potential prognostic markers of neuroblastoma can provide clues for early diagnosis, recurrence, and treatment.

Methods

RNA sequence data and clinical features of 147 neuroblastomas were obtained from the TARGET (Therapeutically Applicable Research to Generate Effective Treatments project) database. Application weighted gene coexpression network analysis (WGCNA) was used to construct a free-scale gene coexpression network, to study the interrelationship between its potential modules and clinical features, and to identify hub genes in the module. We performed Lasso regression and Cox regression analyses to identify the t

SUBMITTER: Yang J 

PROVIDER: S-EPMC8331277 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature