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

Rameen Beroukhim(Broad Institute), Gad Getz(Broad Institute), Leia Nghiemphu(University of California, Los Angeles), Jordi Barretina(Broad Institute), Teli Hsueh(University of California, Los Angeles), David Linhart(Broad Institute), Igor Vivanco(University of California, Los Angeles), Jeffrey C. Lee(Broad Institute), Julie H. Huang(University of California, Los Angeles), Sethu Alexander(Broad Institute), Jinyan Du(Broad Institute), Tweeny R. Kau(University of California, Los Angeles), Roman K. Thomas(Broad Institute), Kinjal Shah(Broad Institute), Horacio Soto(University of California, Los Angeles), Sven Perner(Brigham and Women's Hospital), John R. Prensner(Broad Institute), Ralph DeBiasi(Broad Institute), Francesca Demichelis(Brigham and Women's Hospital), Charlie Hatton(Broad Institute), Mark A. Rubin(Broad Institute), Levi A. Garraway(Broad Institute), Stan F. Nelson(University of California, Los Angeles), Linda M. Liau(University of California, Los Angeles), Paul S. Mischel(University of California, Los Angeles), Tim Cloughesy(University of California, Los Angeles), Matthew Meyerson(Broad Institute), Todd Golub(Broad Institute), Eric S. Lander(Broad Institute), Ingo K. Mellinghoff(Memorial Sloan Kettering Cancer Center), William R. Sellers(Broad Institute)
Proceedings of the National Academy of Sciences
December 7, 2007
Cited by 1,085Open Access
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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 approximately 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 focalEGFR 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.


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