Signatures of mutation and selection in the cancer genome

2010 Nature 716 citations

Abstract

The cancer genome is moulded by the dual processes of somatic mutation and selection. Homozygous deletions in cancer genomes occur over recessive cancer genes, where they can confer selective growth advantage, and over fragile sites, where they are thought to reflect an increased local rate of DNA breakage. However, most homozygous deletions in cancer genomes are unexplained. Here we identified 2,428 somatic homozygous deletions in 746 cancer cell lines. These overlie 11% of protein-coding genes that, therefore, are not mandatory for survival of human cells. We derived structural signatures that distinguish between homozygous deletions over recessive cancer genes and fragile sites. Application to clusters of unexplained homozygous deletions suggests that many are in regions of inherent fragility, whereas a small subset overlies recessive cancer genes. The results illustrate how structural signatures can be used to distinguish between the influences of mutation and selection in cancer genomes. The extensive copy number, genotyping, sequence and expression data available for this large series of publicly available cancer cell lines renders them informative reagents for future studies of cancer biology and drug discovery.

Keywords

BiologyGenomeGeneticsGeneCancerMutationMutation rateHuman genomeGermline mutationComputational biology

MeSH Terms

Cell LineTumorChromosome Fragile SitesChromosomesHumanDNA Copy Number VariationsDNA Mutational AnalysisGene DeletionGene DosageGenesNeoplasmGenesRecessiveGenomeHumanHomozygoteHumansModelsGeneticNeoplasmsOligonucleotide Array Sequence AnalysisPhysical Chromosome MappingReproducibility of ResultsSelectionGenetic

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Publication Info

Year
2010
Type
article
Volume
463
Issue
7283
Pages
893-898
Citations
716
Access
Closed

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Cite This

Graham R. Bignell, Chris Greenman, Helen Davies et al. (2010). Signatures of mutation and selection in the cancer genome. Nature , 463 (7283) , 893-898. https://doi.org/10.1038/nature08768

Identifiers

DOI
10.1038/nature08768
PMID
20164919
PMCID
PMC3145113

Data Quality

Data completeness: 86%