The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Genetic Progression and the Waiting Time to Cancer
Open accessAbstract
Cancer results from genetic alterations that disturb the normal cooperative behavior of cells. Recent high-throughput genomic studies of cancer cells have shown that the mutational landscape of cancer is complex and that individual cancers may evolve through mutations in as many as 20 different cancer-associated genes. We use data published by Sjöblom et al. (2006) to develop a new mathematical model for the somatic evolution of colorectal cancers. We employ the Wright-Fisher process for exploring the basic parameters of this evolutionary process and derive an analytical approximation for the expected waiting time to the cancer phenotype. Our results highlight the relative importance of selection over both the size of the cell population at risk and the mutation rate. The model predicts that the observed genetic diversity of cancer genomes can arise under a normal mutation rate if the average selective advantage per mutation is on the order of 1%. Increased mutation rates due to genetic instability would allow even smaller selective advantages during tumorigenesis. The complexity of cancer progression can be understood as the result of multiple sequential mutations, each of which has a relatively small but positive effect on net cell growth.
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Cites
Lessons from hereditary colorectal cancer
Kinzler, K. W., & Vogelstein, B. (1996) · Cell · doi:10.1016/s0092-8674(00)81333-1 · Cited by 4,919
Self-citationGenetic instabilities in human cancers
Lengauer, C., Kinzler, K. W., & Vogelstein, B. (1998) · Nature · doi:10.1038/25292 · Cited by 4,168 · cited 1×
“A normal mutation rate might also be sufficient 5 to generate the large numbers of mutations in cancer given the many generations that the 6 dominant cancer cell clone has gone through both before and after its initiating mutation [11,12].”
BackgroundFriedberg, E. C. (2003) · Nature · doi:10.1038/nature01408 · Cited by 1,177
Kunkel, T. A., & Bebenek, K. (2000) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.69.1.497 · Cited by 1,003
Cited by
Greaves, M., & Maley, C. C. (2012) · Nature · doi:10.1038/nature10762 · Cited by 3,162
The Genomic Landscapes of Human Breast and Colorectal Cancers
Wood, L. D., Parsons, D. W., Jones, S., Lin, J., Sjöblom, T., Leary, R. J., Shen, D., Boca, S. M., Barber, T., Ptak, J., et al. (2007) · Science · doi:10.1126/science.1145720 · Cited by 2,833
Self-citationEleven grand challenges in single-cell data science
Lähnemann, D., Köster, J., Szczurek, E., McCarthy, D. J., Hicks, S. C., Robinson, M. D., Vallejos, C. A., Campbell, K. R., Beerenwinkel, N., Mahfouz, A., et al. (2020) · Genome Biology · doi:10.1186/s13059-020-1926-6 · Cited by 1,327
Self-citationThe longitudinal dynamics and natural history of clonal haematopoiesis
Fabre, M. A., de Almeida, J. G., Fiorillo, E., Mitchell, E., Damaskou, A., Rak, J., Orrù, V., Marongiu, M., Chapman, M. S., Vijayabaskar, M. S., et al. (2022) · Nature · doi:10.1038/s41586-022-04785-z · Cited by 374
DNA replication fidelity and cancer
Preston, B. D., Albertson, T. M., & Herr, A. J. (2010) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2010.10.009 · Cited by 160
Metadata
- Authors
- Beerenwinkel, N., Antal, T., Dingli, D., Traulsen, A., Kinzler, K. W., Velculescu, V. E., Vogelstein, B., & Nowak, M. A.
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2007-11-09
- Volume
- 3
- Issue
- 11
- Pages
- e225
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- OpenAlex
- W2109860416
- Cited by
- 408
- References
- 4
- FWCI
- 8.89
- Type
- journal article
- Language
- en
- Open access
- gold
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- Beerenwinkel, N., Antal, T., Dingli, D., Traulsen, A., Kinzler, K. W., Velculescu, V. E., Vogelstein, B., & Nowak, M. A. (2007). Genetic Progression and the Waiting Time to Cancer. PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.0030225
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
