Accumulation of potential driver genes with genomic alterations predicts survival of high-risk neuroblastoma patients.

ABSTRACT:

Background

Neuroblastoma is the most common pediatric malignancy with heterogeneous clinical behaviors, ranging from spontaneous regression to aggressive progression. Many studies have identified aberrations related to the pathogenesis and prognosis, broadly classifying neuroblastoma patients into high- and low-risk groups, but predicting tumor progression and clinical management of high-risk patients remains a big challenge.

Results

We integrate gene-level expression, array-based comparative genomic hybridization and functional gene-interaction network of 145 neuroblastoma patients to detect potential driver genes. The drivers are summarized into a driver-gene score (DGscore) for each patient, and we then validate its clinical relevance in terms of association with patient

SUBMITTER: Suo C 

PROVIDER: S-EPMC6048860 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature