Prognostic impact of gene expression-based classification for neuroblastoma

André Oberthuer, Barbara Hero, Frank Berthold, Dilafruz Juraeva, Andreas Faldum, Yvonne Kahlert, Shahab Asgharzadeh, Robert Seeger, Paola Scaruffi, Gian Paolo Tonini, Isabelle Janoueix-Lerosey, Olivier Delattre, Gudrun Schleiermacher, Jo Vandesompele, Joëlle Vermeulen, Frank Speleman, Rosa Noguera, Marta Piqueras, Jean Bénard, Alexander ValentSmadar Avigad, Isaac Yaniv, Axel Weber, Holger Christiansen, Richard G. Grundy, Katharina Schardt, Manfred Schwab, Roland Eils, Patrick Warnat, Lars Kaderali, Thorsten Simon, Boris DeCarolis, Jessica Theissen, Frank Westermann, Benedikt Brors, Matthias Fischer

Research output: Contribution to journalArticle

Abstract

Purpose: To evaluate the impact of a predefined gene expression-based classifier for clinical risk estimation and cytotoxic treatment decision making in neuroblastoma patients. Patients and Methods: Gene expression profiles of 440 internationally collected neuroblastoma specimens were investigated by microarray analysis, 125 of which were examined prospectively. Patients were classified as either favorable or unfavorable by a 144-gene prediction analysis for microarrays (PAM) classifier established previously on a separate set of 77 patients. PAM classification results were compared with those of current prognostic markers and risk estimation strategies. Results: The PAM classifier reliably distinguished patients with contrasting clinical courses (favorable [n = 249] and unfavorable [n = 191]; 5-year event free survival [EFS] 0.84 ± 0.03 v 0.38 ± 0.04; 5-year overall survival [OS] 0.98 ± 0.01 v 0.56 ± 0.05, respectively; both P <.001). Moreover, patients with divergent outcome were robustly discriminated in both German and international cohorts and in prospectively analyzed samples (P ≤ .001 for both EFS and OS for each). In subgroups with clinical low-, intermediate-, and high-risk of death from disease, the PAM predictor significantly separated patients with divergent outcome (low-risk 5-year OS: 1.0 v 0.75 ± 0.10, P <.001; intermediaterisk: 1.0 v 0.82 ± 0.08, P = .042; and high-risk: 0.81 ± 0.08 v 0.43 ± 0.05, P = .001). In multivariate Cox regression models based on both EFS and OS, PAM was a significant independent prognostic marker (EFS: hazard ratio [HR], 3.375; 95% CI, 2.075 to 5.492; P <.001; OS: HR, 11.119, 95% CI, 2.487 to 49.701; P <.001). The highest potential clinical impact of the classifier was observed in patients currently considered as non-high-risk (n = 289; 5-year EFS: 0.87 ± 0.02 v 0.44 ± 0.07; 5-year OS: 1.0 v 0.80 ± 0.06; both P <.001). Conclusion: Gene expression-based classification using the 144-gene PAM predictor can contribute to improved treatment stratification of neuroblastoma patients.

Original languageEnglish
Pages (from-to)3506-3515
Number of pages10
JournalJournal of Clinical Oncology
Volume28
Issue number21
DOIs
Publication statusPublished - Jul 20 2010

    Fingerprint

ASJC Scopus subject areas

  • Cancer Research
  • Oncology
  • Medicine(all)

Cite this

Oberthuer, A., Hero, B., Berthold, F., Juraeva, D., Faldum, A., Kahlert, Y., Asgharzadeh, S., Seeger, R., Scaruffi, P., Tonini, G. P., Janoueix-Lerosey, I., Delattre, O., Schleiermacher, G., Vandesompele, J., Vermeulen, J., Speleman, F., Noguera, R., Piqueras, M., Bénard, J., ... Fischer, M. (2010). Prognostic impact of gene expression-based classification for neuroblastoma. Journal of Clinical Oncology, 28(21), 3506-3515. https://doi.org/10.1200/JCO.2009.27.3367