An 18 gene expression-based score classifier predicts the clinical outcome in stage 4 neuroblastoma

J Transl Med. 2016 May 17;14(1):142. doi: 10.1186/s12967-016-0896-7.

Abstract

Background: The prognosis of children with metastatic stage 4 neuroblastoma (NB) has remained poor in the past decade.

Patients and methods: Using microarray analyses of 342 primary tumors, we here developed and validated an easy to use gene expression-based risk score including 18 genes, which can robustly predict the outcome of stage 4 patients.

Results: This classifier was a significant predictor of overall survival in two independent validation cohorts [cohort 1 (n = 214): P = 6.3 × 10(-5); cohort 2 (n = 27): P = 3.1 × 10(-2)]. The prognostic value of the risk score was validated by multivariate analysis including the established markers age and MYCN status (P = 0.027). In the pooled validation cohorts (n = 241), integration of the risk score with the age and/or MYCN status identified subgroups with significantly differing overall survival (ranging from 35 to 100 %).

Conclusion: Together, the 18-gene risk score classifier can identify patients with stage 4 NB with favorable outcome and may therefore improve risk assessment and treatment stratification of NB patients with disseminated disease.

Keywords: Microarray; Neuroblastoma; Prognosis; Risk score.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Child, Preschool
  • Female
  • Gene Expression Profiling*
  • Gene Expression Regulation, Neoplastic*
  • Gene Ontology
  • Gene Regulatory Networks
  • Humans
  • Kaplan-Meier Estimate
  • Male
  • Multivariate Analysis
  • Neuroblastoma / genetics*
  • Prognosis
  • Proportional Hazards Models
  • Regression Analysis
  • Reproducibility of Results
  • Treatment Outcome