Integration of molecular features with clinical information for predicting outcomes for neuroblastoma patients.

ABSTRACT:

Background

Neuroblastoma is one of the most common types of pediatric cancer. In current neuroblastoma prognosis, patients can be stratified into high- and low-risk groups. Generally, more than 90% of the patients in the low-risk group will survive, while less than 50% for those with the high-risk disease will survive. Since the so-called "high-risk" patients still contain patients with mixed good and poor outcomes, more refined stratification needs to be established so that for the patients with poor outcome, they can receive prompt and individualized treatment to improve their long-term survival rate, while the patients with good outcome can avoid unnecessary over treatment.

Methods

We first mined co-expressed gene modules from microarray and RNA-seq data of neuroblastoma

SUBMITTER: Han Y 

PROVIDER: S-EPMC6706887 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature