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

Daniela Formicola, Giuseppe Petrosino, Vito Alessandro Lasorsa, Piero Pignataro, Flora Cimmino, Simona Vetrella, Luca Longo, Gian Paolo Tonini, André Oberthuer, Achille Iolascon, Matthias Fischer, Mario Capasso

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Article number142
JournalJournal of Translational Medicine
Issue number1
Publication statusPublished - May 17 2016


  • Microarray
  • Neuroblastoma
  • Prognosis
  • Risk score

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)


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