Evidence for an age cutoff greater than 365 days for neuroblastoma risk group stratification in the Children's Oncology Group

Prognostic significance of gene expression profiles of metastatic neuroblastomas lacking MYCN gene amplification

BACKGROUND

The aggressiveness of metastatic neuroblastomas that lack MYCN gene amplification varies with age--they are least aggressive when diagnosed in patients younger than 12 months and most aggressive when diagnosed in patients older than 24 months. However, age at diagnosis is not always associated with patient survival. We examined whether molecular classification of metastatic neuroblastomas without MYCN gene amplification at diagnosis using gene expression profiling could improve the prediction of risk of disease progression.

METHODS

We used Affymetrix microarrays to determine the gene expression profiles of 102 untreated primary neuroblastomas without MYCN gene amplification obtained from children whose ages at diagnosis ranged from 0.1 to 151 months. A supervised method using diagonal linear discriminant analysis was devised to build a multigene model for predicting risk of disease progression. The accuracy of the model was evaluated using nested cross-validations, permutation analyses, and gene expression data from 15 additional tumors obtained at disease progression.

RESULTS

An expression profile model using 55 genes defined a tumor signature that distinguished two groups of patients from among those older than 12 months at diagnosis and clinically classified as having high-risk disease, those with a progression-free survival (PFS) rate of 16% (95% confidence interval [CI] = 8% to 28%), and those with a PFS rate of 79% (95% CI = 57% to 91%) (P<.01). These tumor signatures also identified two groups of patients with PFS of 15% (95% CI = 7% to 27%) and 69% (95% CI = 40% to 86%) (P<.01) from among patients who were older than 18 months at diagnosis. The gene expression signature of untreated molecular high-risk tumors was also present in progressively growing tumors.

CONCLUSION

Gene expression signatures of tumors obtained at diagnosis from patients with clinically indistinguishable high-risk, metastatic neuroblastomas identify subgroups with different outcomes. Accurate identification of these subgroups with gene expression profiles may facilitate development, implementation, and analysis of clinical trials aimed at improving outcome.

Differential Expression of Neuronal Genes Defines Subtypes of Disseminated Neuroblastoma with Favorable and Unfavorable Outcome

PURPOSE

Identification of molecular characteristics of spontaneously regressing stage IVS and progressing stage IV neuroblastoma to improve discrimination of patients with metastatic disease following favorable and unfavorable clinical courses.

EXPERIMENTAL DESIGN

Serial analysis of gene expression profiles were generated from five stage IVS and three stage IV neuroblastoma. Differential expression of candidate genes was evaluated by real-time quantitative reverse transcription-PCR in 76 pretreatment tumor samples (stage IVS n=27 and stage IV n=49). Gene expression-based outcome prediction was determined by Prediction Analysis for Microarrays using 38 tumors as a training set and 38 tumors as a test set.

RESULTS

Comparison of serial analysis of gene expression profiles from stage IV and IVS neuroblastoma revealed approximately 500 differentially expressed transcripts. Genes related to neuronal differentiation were observed more frequently in stage IVS tumors as determined by associating transcripts to Gene Ontology annotations. Forty-one candidate genes were evaluated by quantitative reverse transcription-PCR and 18 were confirmed to be differentially expressed (P<or=0.001). Classification of patients according to expression patterns of these 18 genes using Prediction Analysis for Microarrays discriminated two subgroups with significantly differing event-free survival (96+/-6% versus 40+/-8% at 3 years; P<0.0001) and overall survival (100% versus 72+/-7% at 3 years; P=0.0003). This classifier was the only independent covariate marker in a multivariate analysis considering the variables stage, age, MYCN amplification, and gene signature.

CONCLUSIONS

Spontaneously regressing and progressing metastatic neuroblastoma differ by specific gene expression patterns, indicating distinct levels of neuronal differentiation and allowing for an improved risk estimation of children with disseminated disease.

International neuroblastoma pathology classification adds independent prognostic information beyond the prognostic contribution of age

Age has been used as a prognostic factor for patients with peripheral neuroblastic tumours (pNTs). The latest analysis disclosed a cut-off around 18 months for the optimal prognostic distinction. The International Neuroblastoma Pathology Classification (INPC) distinguishes favourable and unfavourable histology based on the age-appropriate evaluation of histologic indicators (grade of neuroblastic differentiation, mitosis-karyorrhexis index) in the categories of neuroblastoma and ganglioneuroblastoma, nodular. This study showed that age tested by using 3 different cut-offs (12, 18, 24 months) was prognostically significant. INPC remained prognostically significant regardless of the age group to which it was applied. Prognostic effects of age and histologic indicators were independently significant, i.e., age had prognostic ability beyond that of histologic indicators, and histologic indicators had prognostic ability beyond that of age. Due to the fact that INPC incorporated age factor (18, 60 months) in the system, it served better than age by itself for prognostic distinction of pNT patients.

Association of high-level MRP1 expression with poor clinical outcome in a large prospective study of primary neuroblastoma

PURPOSE

We have previously shown in a retrospective study that expression of the multidrug transporter gene MRP1 (ABCC1) is associated with outcome in neuroblastoma. We have now undertaken a prospective analysis to examine the independent prognostic significance of MRP1 expression in a large cohort of primary untreated neuroblastomas.

PATIENTS AND METHODS

Two hundred nine diagnostic neuroblastoma samples from patients prospectively enrolled onto the Pediatric Oncology Group biology protocol 9047 were analyzed for expression of the MRP1, MDR1, MYCN, and TRKA genes using real-time polymerase chain reaction. Expression levels were correlated with established prognostic indicators and disease outcome.

RESULTS

MRP1 expression was detected in all tumors analyzed, and levels were significantly higher in tumors with versus without MYCN amplification (P < .0001). High levels of MRP1 were highly predictive of both event-free survival (EFS; P < .001) and overall survival (OS; P < .001). High-level MYCN and low-level TRKA were also predictive of poor outcome. MDR1 expression demonstrated no prognostic significance. After adjustment for the effect of statistically significant prognostic indicators in multivariate models, MRP1 expression retained significant prognostic value for both EFS (hazard ratio = 3.0; P = .0011) and OS (hazard ratio = 2.5; P = .0095), whereas MYCN amplification did not have prognostic significance.

CONCLUSION

The results of this prospective study confirm our earlier findings and support a clinically relevant role for MRP1 gene expression in neuroblastoma. These findings have implications for the biology, prognosis, and treatment of this disease and provide evidence that MRP1 is a bone fide molecular target for reversing chemotherapy resistance in aggressive drug-refractory neuroblastoma.