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Article . 2006 . Peer-reviewed
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Science
Article . 2006
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The Consensus Coding Sequences of Human Breast and Colorectal Cancers

Authors: Tobias, Sjöblom; Siân, Jones; Laura D, Wood; D Williams, Parsons; Jimmy, Lin; Thomas D, Barber; Diana, Mandelker; +22 Authors

The Consensus Coding Sequences of Human Breast and Colorectal Cancers

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.

Keywords

Male, Genome, Human, Computational Biology, Breast Neoplasms, Sequence Analysis, DNA, Polymerase Chain Reaction, Amino Acid Substitution, Cell Line, Tumor, Consensus Sequence, Mutation, Humans, Female, Colorectal Neoplasms, Databases, Nucleic Acid, Genes, Neoplasm

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3K
Top 0.01%
Top 0.01%
Top 0.01%
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