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Purpose: Increasing age has been an adverse risk factor in children with neuroblastoma (NB) since the 1970's, with a 12-month age-at-diagnosis cut-off for treatment stratification. Over the last 30 years, treatment intensity for children >12 months with advanced-stage disease has increased; to investigate if this strategy has improved outcome and/or reduced the prognostic influence of age, we analysed the International Neuroblastoma Risk Group (INRG) database., Patients and Methods: Data from 11,037 children with NB (1974-2002) from Australia, Europe, Japan, North America. Cox modelling of event-free survival (EFS) tested if the era and prognostic significance of age-of-diagnosis, adjusted for bone marrow (BM) metastases and MYCN status, effects on outcome had changed., Results: Outcome improved over time: 3-year EFS 46% (1974-1989) and 71% (1997-2002). The risk for those >18 months against ≤12 decreased: hazard ratio (HR); 4.61 and 3.94. For age 13-18 months, EFS increased from 42% to 77%. Outcome was worse if: >18 months (HR 4.47); BM metastases (HR 4.00); and MYCN amplified (HR 3.97). For 1997-2002, the EFS for >18 months with BM involvement and MYCN amplification was 18%, but 89% for 0-12 months with neither BM involvement nor MYCN amplification., Conclusions: There is clear evidence for improving outcomes for children with NB over calendar time. The adverse influence of increasing age-at-diagnosis has declined but it remains a powerful indicator of unfavourable prognosis. These results support the age-of-diagnosis cut-off of greater than 18 months as a risk criterion in the INRG classification system., (Copyright © 2010 Elsevier Ltd. All rights reserved.)

Purpose: To develop a gene expression-based classifier for neuroblastoma patients that reliably predicts courses of the disease., Patients and Methods: Two hundred fifty-one neuroblastoma specimens were analyzed using a customized oligonucleotide microarray comprising 10,163 probes for transcripts with differential expression in clinical subgroups of the disease. Subsequently, the prediction analysis for microarrays (PAM) was applied to a first set of patients with maximally divergent clinical courses (n = 77). The classification accuracy was estimated by a complete 10-times-repeated 10-fold cross validation, and a 144-gene predictor was constructed from this set. This classifier's predictive power was evaluated in an independent second set (n = 174) by comparing results of the gene expression-based classification with those of risk stratification systems of current trials from Germany, Japan, and the United States., Results: The first set of patients was accurately predicted by PAM (cross-validated accuracy, 99%). Within the second set, the PAM classifier significantly separated cohorts with distinct courses (3-year event-free survival [EFS] 0.86 +/- 0.03 [favorable; n = 115] v 0.52 +/- 0.07 [unfavorable; n = 59] and 3-year overall survival 0.99 +/- 0.01 v 0.84 +/- 0.05; both P < .0001) and separated risk groups of current neuroblastoma trials into subgroups with divergent outcome (NB2004: low-risk 3-year EFS 0.86 +/- 0.04 v 0.25 +/- 0.15, P < .0001; intermediate-risk 1.00 v 0.57 +/- 0.19, P = .018; high-risk 0.81 +/- 0.10 v 0.56 +/- 0.08, P = .06). In a multivariate Cox regression model, the PAM predictor classified patients of the second set more accurately than risk stratification of current trials from Germany, Japan, and the United States (P < .001; hazard ratio, 4.756 [95% CI, 2.544 to 8.893])., Conclusion: Integration of gene expression-based class prediction of neuroblastoma patients may improve risk estimation of current neuroblastoma trials.