The Consensus Coding Sequences of Human Breast and Colorectal Cancers

Author:

Sjöblom Tobias12345,Jones Siân12345,Wood Laura D.12345,Parsons D. Williams12345,Lin Jimmy12345,Barber Thomas D.12345,Mandelker Diana12345,Leary Rebecca J.12345,Ptak Janine12345,Silliman Natalie12345,Szabo Steve12345,Buckhaults Phillip12345,Farrell Christopher12345,Meeh Paul12345,Markowitz Sanford D.12345,Willis Joseph12345,Dawson Dawn12345,Willson James K. V.12345,Gazdar Adi F.12345,Hartigan James12345,Wu Leo12345,Liu Changsheng12345,Parmigiani Giovanni12345,Park Ben Ho12345,Bachman Kurtis E.12345,Papadopoulos Nickolas12345,Vogelstein Bert12345,Kinzler Kenneth W.12345,Velculescu Victor E.12345

Affiliation:

1. Ludwig Center and Howard Hughes Medical Institute, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD 21231, USA.

2. Department of Pathology and Microbiology, Center for Colon Cancer Research, and South Carolina Cancer Center, Division of Basic Research, University of South Carolina School of Medicine, Columbia, SC 29229, USA.

3. Department of Medicine, Ireland Cancer Center, and Howard Hughes Medical Institute, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH 44106, USA.

4. Department of Pathology and Ireland Cancer Center, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH 44106, USA.

5. Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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