Construction and Validation of a 13-Gene Signature for Prognosis Prediction in Medulloblastoma.

ABSTRACT: Background: Recent studies have identified several molecular subgroups of medulloblastoma associated with distinct clinical outcomes; however, no robust gene signature has been established for prognosis prediction. Our objective was to construct a robust gene signature-based model to predict the prognosis of patients with medulloblastoma. Methods: Expression data of medulloblastomas were acquired from the Gene Expression Omnibus (GSE85217, n = 763; GSE37418, n = 76). To identify genes associated with overall survival (OS), we performed univariate survival analysis and least absolute shrinkage and selection operator (LASSO) Cox regression. A risk score model was constructed based on selected genes and was validated using multiple datasets. Differentially expresse

SUBMITTER: Li C 

PROVIDER: S-EPMC7249855 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature