| Literature DB >> 21892161 |
Adam J Bass1,2,3,4, Michael S Lawrence4, Lear E Brace1, Alex H Ramos1,4, Yotam Drier5, Kristian Cibulskis4, Carrie Sougnez4, Douglas Voet4, Gordon Saksena4, Andrey Sivachenko4, Rui Jing4, Melissa Parkin4, Trevor Pugh1,4, Roel G Verhaak1,4, Nicolas Stransky4, Adam T Boutin1, Jordi Barretina4, David B Solit6, Evi Vakiani7, Wenlin Shao8, Yuji Mishina8, Markus Warmuth8, Jose Jimenez9, Derek Y Chiang10, Sabina Signoretti11,12, William G Kaelin1,2, Nicole Spardy1, William C Hahn1,2,3,4, Yujin Hoshida4, Shuji Ogino1,11,12,13, Ronald A DePinho1,2,14,15, Lynda Chin1,4,15,16, Levi A Garraway1,2,3,4, Charles S Fuchs1,2,13, Jose Baselga9,17, Josep Tabernero9, Stacey Gabriel4, Eric S Lander4,18,19, Gad Getz4, Matthew Meyerson1,3,4,11.
Abstract
Prior studies have identified recurrent oncogenic mutations in colorectal adenocarcinoma and have surveyed exons of protein-coding genes for mutations in 11 affected individuals. Here we report whole-genome sequencing from nine individuals with colorectal cancer, including primary colorectal tumors and matched adjacent non-tumor tissues, at an average of 30.7× and 31.9× coverage, respectively. We identify an average of 75 somatic rearrangements per tumor, including complex networks of translocations between pairs of chromosomes. Eleven rearrangements encode predicted in-frame fusion proteins, including a fusion of VTI1A and TCF7L2 found in 3 out of 97 colorectal cancers. Although TCF7L2 encodes TCF4, which cooperates with β-catenin in colorectal carcinogenesis, the fusion lacks the TCF4 β-catenin-binding domain. We found a colorectal carcinoma cell line harboring the fusion gene to be dependent on VTI1A-TCF7L2 for anchorage-independent growth using RNA interference-mediated knockdown. This study shows previously unidentified levels of genomic rearrangements in colorectal carcinoma that can lead to essential gene fusions and other oncogenic events.Entities:
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Year: 2011 PMID: 21892161 PMCID: PMC3802528 DOI: 10.1038/ng.936
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 38.330