Type

Journal Article

Authors

Raymond L Stallings
Frank Speleman
Jo Vandesompele
Katleen De Preter
Pieter Mestdagh
Angelika Eggert
Alexander Schramm
Johannes H Schulte
Isabella Bray
Kenneth Bryan
and 2 others

Subjects

Biochemistry

Topics
gene dosage chromosomes human pair 11 micrornas neuroblastoma genetics chromosome deletion humans gene expression profiling metabolism classification disease free survival

Chromosomal and microRNA expression patterns reveal biologically distinct subgroups of 11q- neuroblastoma. (2010)

Abstract The purpose of this study was to further define the biology of the 11q- neuroblastoma tumor subgroup by the integration of array-based comparative genomic hybridization with microRNA (miRNA) expression profiling data to determine if improved patient stratification is possible. A set of primary neuroblastoma (n = 160), which was broadly representative of all genetic subtypes, was analyzed by array-based comparative genomic hybridization and for the expression of 430 miRNAs. A 15-miRNA expression signature previously shown to be predictive of clinical outcome was used to analyze an independent cohort of 11q- tumors (n = 37). Loss of 4p and gain of 7q occurred at a significantly higher frequency in the 11q- tumors, further defining the genetic characteristics of this subtype. The 11q- tumors could be split into two subgroups using a miRNA expression survival signature that differed significantly in clinical outcome and the overall frequency of large-scale genomic imbalances, with the poor survival subgroup having significantly more imbalances. miRNAs from the expression signature, which were upregulated in unfavorable tumors, were predicted to target downregulated genes from a published mRNA expression classifier of clinical outcome at a higher-than-expected frequency, indicating the miRNAs might contribute to the regulation of genes within the signature. We show that two distinct biological subtypes of neuroblastoma with loss of 11q occur, which differ in their miRNA expression profiles, frequency of segmental imbalances, and clinical outcome. A miRNA expression signature, combined with an analysis of segmental imbalances, provides greater prediction of event-free survival and overall survival outcomes than 11q status by itself, improving patient stratification.
Collections Ireland -> Royal College of Surgeons in Ireland -> PubMed

Full list of authors on original publication

Raymond L Stallings, Frank Speleman, Jo Vandesompele, Katleen De Preter, Pieter Mestdagh, Angelika Eggert, Alexander Schramm, Johannes H Schulte, Isabella Bray, Kenneth Bryan and 2 others

Experts in our system

1
Raymond L Stallings
Royal College of Surgeons in Ireland
Total Publications: 59
 
2
Jo Vandesompele
Royal College of Surgeons in Ireland
Total Publications: 9
 
3
Isabella Bray
Royal College of Surgeons in Ireland
Total Publications: 35
 
4
Kenneth Bryan
Royal College of Surgeons in Ireland
Total Publications: 36