Prognostic Multigene Expression Classification of Neuroblastoma Patients
- Establish a robust mRNA gene expression classifier for improved outcome prediction in
children with neuroblastoma by using real-time PCR to quantify mRNA levels from genes
that have been shown in ≥ 2 independent studies to have predictive power.
- Identify microRNA (miRNA) patterns that have prognostic significance in NB as
accumulating evidence indicates that alterations in miRNA expression play a critical
role in tumorigenesis and can be used in prognostic evaluation.
- Perform an integrated analysis of the established microRNA classifier with our mRNA
signature to determine whether it results in even better classification of NB tumors.
OUTLINE: Samples are analyzed for 59 prognostic genes by real-time quantitative PCR-based
gene expression profiling.
PROJECTED ACCRUAL: A total of 150 samples from high-risk patients, 100 samples from
medium-risk patients, and 100 samples from low-risk patients will be accrued for this study.
Establishment of mRNA gene expression classifier
Michael D. Hogarty, MD
Children's Hospital of Philadelphia