The Consensus Coding Sequences of Human Breast and Colorectal Cancers

Tobias Sjöblom(University of South Carolina), Siân Jones(University of South Carolina), Laura D. Wood(University of South Carolina), D. Williams Parsons(University of South Carolina), Jimmy Lin(University of South Carolina), Thomas D. Barber(University of South Carolina), Diana Mandelker(University of South Carolina), Rebecca Leary(University of South Carolina), Janine Ptak(University of South Carolina), Natalie Silliman(University of South Carolina), Steve Szabo(University of South Carolina), Phillip Buckhaults(University of South Carolina), Christopher Farrell(University of South Carolina), Paul F. Meeh(University of South Carolina), Sanford D. Markowitz(University of South Carolina), Joseph Willis(University of South Carolina), Dawn Dawson(University of South Carolina), James K. V. Willson(University of South Carolina), Adi F. Gazdar(University of South Carolina), James Hartigan(University of South Carolina), Leo Wu(University of South Carolina), Changsheng Liu(University of South Carolina), Giovanni Parmigiani(University of South Carolina), Ben Ho Park(University of South Carolina), Kurtis E. Bachman(University of Maryland, Baltimore), Nickolas Papadopoulos(University of South Carolina), Bert Vogelstein(University of South Carolina), Kenneth W. Kinzler(University of South Carolina), Victor E. Velculescu(University of South Carolina)
Science
September 7, 2006
Cited by 3,171

Abstract

The elucidation of the human genome sequence has made it possible to identify genetic alterations in cancers in unprecedented detail. To begin a systematic analysis of such alterations, we determined the sequence of well-annotated human protein-coding genes in two common tumor types. Analysis of 13,023 genes in 11 breast and 11 colorectal cancers revealed that individual tumors accumulate an average of ∼90 mutant genes but that only a subset of these contribute to the neoplastic process. Using stringent criteria to delineate this subset, we identified 189 genes (average of 11 per tumor) that were mutated at significant frequency. The vast majority of these genes were not known to be genetically altered in tumors and are predicted to affect a wide range of cellular functions, including transcription, adhesion, and invasion. These data define the genetic landscape of two human cancer types, provide new targets for diagnostic and therapeutic intervention, and open fertile avenues for basic research in tumor biology.


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