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Assessing the significance of chromosomal aberrations in cancer: Methodology and application to glioma

Authors :
David Linhart
William R. Sellers
Levi A. Garraway
Gad Getz
Jordi Barretina
Julie H. Huang
Roman K. Thomas
Kinjal Shah
Ralph M. Debiasi
Matthew Meyerson
John R. Prensner
Leia Nghiemphu
Paul S. Mischel
Teli Hsueh
Mark A. Rubin
Francesca Demichelis
Todd Golub
Eric S. Lander
Ingo K. Mellinghoff
Jeffrey C. Lee
Stan F. Nelson
Sven Perner
Charlie Hatton
Rameen Beroukhim
Tweeny R Kau
Igor Vivanco
Sethu Alexander
Linda M. Liau
Jinyan Du
Horacio Soto
Timothy F. Cloughesy
Source :
Proceedings of the National Academy of Sciences. 104:20007-20012
Publication Year :
2007
Publisher :
Proceedings of the National Academy of Sciences, 2007.

Abstract

Comprehensive knowledge of the genomic alterations that underlie cancer is a critical foundation for diagnostics, prognostics, and targeted therapeutics. Systematic efforts to analyze cancer genomes are underway, but the analysis is hampered by the lack of a statistical framework to distinguish meaningful events from random background aberrations. Here we describe a systematic method, called Genomic Identification of Significant Targets in Cancer (GISTIC), designed for analyzing chromosomal aberrations in cancer. We use it to study chromosomal aberrations in 141 gliomas and compare the results with two prior studies. Traditional methods highlight hundreds of altered regions with little concordance between studies. The new approach reveals a highly concordant picture involving ≈35 significant events, including 16–18 broad events near chromosome-arm size and 16–21 focal events. Approximately half of these events correspond to known cancer-related genes, only some of which have been previously tied to glioma. We also show that superimposed broad and focal events may have different biological consequences. Specifically, gliomas with broad amplification of chromosome 7 have properties different from those with overlapping focal EGFR amplification: the broad events act in part through effects on MET and its ligand HGF and correlate with MET dependence in vitro . Our results support the feasibility and utility of systematic characterization of the cancer genome.

Details

ISSN :
10916490 and 00278424
Volume :
104
Database :
OpenAIRE
Journal :
Proceedings of the National Academy of Sciences
Accession number :
edsair.doi.dedup.....c04ecdee57e8d12e50e737dbe395ead4