Authors: Andrey Korshunov Regina Sycheva Andrey Golanov
Publish Date: 2006/03/24
Volume: 111, Issue: 5, Pages: 465-
Abstract
To optimize treatment strategies for patients with glioblastoma a more precise understanding of the molecular basis of this disease clearly is necessary Therefore numerous studies have focused on the molecular biology of glioblastoma and its linkage to clinical behavior Here we investigated 70 glioblastomas using the arraybased comparative genomic hybridization arrayCGH with GenoSensor Array 300 to identify recurrent DNA copy number imbalances associated with patient outcomes Univariate logrank analysis of arrayCGH data revealed 46 copy number aberrations CNAs associated with outcome Among them 26 CNAs were associated with shortened survival whereas the remaining 20 CNAs correlated with good prognosis A hierarchical cluster analysis disclosed two genetically distinct groups of glioblastomas 1 and 2 56 and 14 tumors respectively Univariate logrank test discerned significant difference in survival between both genetic subsets while the 5year survival rate consisted of 0 for group 1 and 63 for group 2 Multivariate analysis revealed that unfavorable genetic signature is an independent prognostic factor increasing a risk of patient death hazard ratio 438 P=000001 In conclusion our current study suggests that glioblastomas can be subdivided into clinically relevant genetic subsets Therefore arrayCGH screening of glioblastomas could provide clinically useful information and perhaps potentially improve the quality of treatment
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