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Dataset Information

Gene signatures associated with genomic aberrations predict prognosis in neuroblastoma.


ABSTRACT:

Background

Neuroblastoma (NB) is a heterogeneous disease with respect to genomic abnormalities and clinical behaviors. Despite recent advances in our understanding of the association between the genetic aberrations and clinical features, it remains one of the major challenges to predict prognosis and stratify patients for determining personalized therapy in this disease. The aim of this study was to develop an effective prognosis prediction model for NB patients.

Methods

We integrated diverse computational analyses to define gene signatures that reflect MYCN activity and chromosomal aberrations including deletion of chromosome 1p (Chr1p_del) and chromosome 11q (Chr11q_del) as well as chromosome 11q whole loss (Chr11q_wls). We evaluated the prognostic and predictive values of

SUBMITTER: He X 

PROVIDER: S-EPMC7163660 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature