Genetic stratification of neuroblastoma for treatment tailoring

Marta Jeison, Isaac Yaniv, Shifra Ash*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Neuroblastoma is the most common extracranial tumor of childhood. The clinical behavior is variable, ranging from spontaneous regression to fatal progression despite aggressive therapy. The most highly statistically significant and clinically relevant factors that are currently used for classification include stage, age, histopathologic category, MYCN oncogene status, chromosome 11q status and DNA ploidy. These genetic markers were analyzed separately by classical methods until recently: mainly fluorescence in situ hybridization or loss of heterozygosity. The development of genome-wide techniques such as comparative genomic hybridization, array comparative genomic hybridization and single nucleotide polymorphism allows the analysis of copy number variations through the whole genome in one step. This enabled the investigators to refine different genetic subtypes for the better comprehension of neuroblastoma tumor behavior and reach the conclusion that these data together with a genomic profile based on gene expression should be included in future treatment stratification.

Original languageEnglish
Pages (from-to)1087-1099
Number of pages13
JournalFuture Oncology
Volume7
Issue number9
DOIs
StatePublished - Sep 2011

Keywords

  • PAM classifier
  • SNP
  • aCGH
  • epigenetic profile
  • genetic subtyping
  • neuroblastoma
  • risk stratification

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