The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Drug resistance in cancer: Principles of emergence and prevention
Open accessAbstract
Although targeted therapy is yielding promising results in the treatment of specific cancers, drug resistance poses a problem. We develop a mathematical framework that can be used to study the principles underlying the emergence and prevention of resistance in cancers treated with targeted small-molecule drugs. We consider a stochastic dynamical system based on measurable parameters, such as the turnover rate of tumor cells and the rate at which resistant mutants are generated. We find that resistance arises mainly before the start of treatment and, for cancers with high turnover rates, combination therapy is less likely to yield an advantage over single-drug therapy. We apply the mathematical framework to chronic myeloid leukemia. Early-stage chronic myeloid leukemia was the first case to be treated successfully with a targeted drug, imatinib (Novartis, Basel). This drug specifically inhibits the BCR-ABL oncogene, which is required for progression. Although drug resistance prevents successful treatment at later stages of the disease, our calculations suggest that, within the model assumptions, a combination of three targeted drugs with different specificities might overcome the problem of resistance.
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Cites
Clinical Resistance to STI-571 Cancer Therapy Caused by BCR-ABL Gene Mutation or Amplification
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Chronic Myeloid Leukemia — Advances in Biology and New Approaches to Treatment
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The molecular evolution of acquired resistance to targeted EGFR blockade in colorectal cancers
Diaz Jr, L. A., Williams, R. T., Wu, J., Kinde, I., Hecht, J. R., Berlin, J., Allen, B., Bozic, I., Reiter, J. G., Nowak, M. A., et al. (2012) · Nature · doi:10.1038/nature11219 · Cited by 1,713
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The mathematics of cancer: integrating quantitative models
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Metadata
- Authors
- Komarova, N. L., & Wodarz, D.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2005-06-24
- Volume
- 102
- Issue
- 27
- Pages
- 9714-9719
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2094556422
- Cited by
- 414
- References
- 35
- FWCI
- 31.13
- Type
- journal article
- Language
- en
- Open access
- green
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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).
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