The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Human cancers express a mutator phenotype
Abstract
Cancer cells contain numerous clonal mutations, i.e., mutations that are present in most or all malignant cells of a tumor and have presumably been selected because they confer a proliferative advantage. An important question is whether cancer cells also contain a large number of random mutations, i.e., randomly distributed unselected mutations that occur in only one or a few cells of a tumor. Such random mutations could contribute to the morphologic and functional heterogeneity of cancers and include mutations that confer resistance to therapy. We have postulated that malignant cells exhibit a mutator phenotype resulting in the generation of random mutations throughout the genome. We have recently developed an assay to quantify random mutations in human tissue with unprecedented sensitivity. Here, we report measurements of random single-nucleotide substitutions in normal and neoplastic human tissues. In normal tissues, the frequency of spontaneous random mutations is exceedingly low, less than 1 × 10 −8 per base pair. In contrast, tumors from the same individuals exhibited an average frequency of 210 × 10 −8 per base pair, an elevation of at least two orders of magnitude. Our data document tumor heterogeneity at the single-nucleotide level, indicate that accelerated mutagenesis prevails late into tumor progression, and suggest that elevation of random mutation frequency in tumors might serve as a novel prognostic indicator.
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Cites
Coussens, L. M., & Werb, Z. (2002) · Nature · doi:10.1038/nature01322 · Cited by 15,111
Genetic instabilities in human cancers
Lengauer, C., Kinzler, K. W., & Vogelstein, B. (1998) · Nature · doi:10.1038/25292 · Cited by 4,168
A census of human cancer genes
Futreal, P. A., Coin, L., Marshall, M., Down, T., Hubbard, T., Wooster, R., Rahman, N., & Stratton, M. R. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1299 · Cited by 3,184
Hussain, S. P., Hofseth, L. J., & Harris, C. C. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1046 · Cited by 1,690
Kunkel, T. A., & Bebenek, K. (2000) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.69.1.497 · Cited by 1,003
Chromosome aberrations in solid tumors
Albertson, D. G., Collins, C., McCormick, F., & Gray, J. W. (2003) · Nature Genetics · doi:10.1038/ng1215 · Cited by 812
Cited by
Mantovani, A., Allavena, P., Sica, A., & Balkwill, F. (2008) · Nature · doi:10.1038/nature07205 · Cited by 11,399
Tumour evolution inferred by single-cell sequencing
Navin, N., Kendall, J., Troge, J., Andrews, P., Rodgers, L., McIndoo, J., Cook, K., Stepansky, A., Levy, D., Esposito, D., et al. (2011) · Nature · doi:10.1038/nature09807 · Cited by 2,598
Hoeijmakers, J. H. J. (2009) · New England Journal of Medicine · doi:10.1056/nejmra0804615 · Cited by 2,239
Clonal evolution in breast cancer revealed by single nucleus genome sequencing
Wang, Y., Waters, J., Leung, M. L., Unruh, A., Roh, W., Shi, X., Chen, K., Scheet, P., Vattathil, S., Liang, H., et al. (2014) · Nature · doi:10.1038/nature13600 · Cited by 1,029
Mutation as a Stress Response and the Regulation of Evolvability
Galhardo, R. S., Hastings, P. J., & Rosenberg, S. M. (2007) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.1080/10409230701648502 · Cited by 643
Metadata
- Authors
- Bielas, J. H., Loeb, K. R., Rubin, B. P., True, L. D., & Loeb, L. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2006-11-28
- Volume
- 103
- Issue
- 48
- Pages
- 18238-18242
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2063728375
- Cited by
- 354
- References
- 6
- FWCI
- 10.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bielas, J. H., Loeb, K. R., Rubin, B. P., True, L. D., & Loeb, L. A. (2006). Human cancers express a mutator phenotype. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0607057103
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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