Gene expression-based classification improves risk estimation of neuroblastoma patients
A Oberthuer, B Hero, D Juraeva, A Faldum, Y Kahlert, S Asgharzadeh, R Seeger, P Scaruffi, GP Tonini, I Janoueix-Lerosey, O Delattre, G Schleiermacher, J Vandesompele, J Vermeulen, F Speleman, R Noguera, M Piqueras, J Bénard, A Valent, S Avigad, I Yaniv, A Web… · Klinische Pädiatrie · 2010 · Heft 05
Bibliografische Angaben
Zusammenfassung
Aim: To evaluate the potential clinical impact of a gene expression-based classifier in neuroblastoma patients. Methods: Microarray analysis was performend on 440 neuroblastoma samples (Germany, n=325; international, n=115). Patients were classified as favorable or unfavorable by a previously defined 144-gene PAM classifier. Classification results were compared with those of prognostic markers and risk estimation strategies. Results: Patients with divergent outcome were reliably distinguished by the PAM classifier in the whole cohort, in the German and the international cohorts separately (OS, p