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Optimizing Combination Chemotherapy by Controlling Drug Ratios
Abstract
Cancer chemotherapy treatments typically employ drug combinations in which the dose of each agent is pushed to the brink of unacceptable toxicity; however, emerging evidence indicates that this approach may not be providing optimal efficacy due to the manner in which drugs interact. Specifically, whereas certain ratios of combined drugs can be synergistic, other ratios of the same agents may be antagonistic, implying that the most efficacious combinations may be those that utilize certain agents at reduced doses. Advances in nano-scale drug delivery vehicles now enable the translation of in vitro information on synergistic drug ratios into improved anticancer combination therapies in which the desired drug ratio can be controlled and maintained following administration in vivo, so that synergistic effects can be exploited. This "ratiometric" approach to combination chemotherapy opens new opportunities to enhance the effectiveness of existing and future treatment regimens across a spectrum of human diseases.
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Cites
Chou, T.-C., & Talalay, P. (1984) · Advances in Enzyme Regulation · doi:10.1016/0065-2571(84)90007-4 · Cited by 7,178
Drug Delivery Systems: Entering the Mainstream
Allen, T. M., & Cullis, P. R. (2004) · Science · doi:10.1126/science.1095833 · Cited by 4,552
Cited by
Drug combination studies and their synergy quantification using the Chou-Talalay method
Chou, T.-C. (2010) · Cancer Research · doi:10.1158/0008-5472.can-09-1947 · Cited by 5,739
Network pharmacology: the next paradigm in drug discovery
Hopkins, A. L. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.118 · Cited by 4,622
Tumor targeting via EPR: Strategies to enhance patient responses
Golombek, S. K., May, J.-N., Theek, B., Appold, L., Drude, N., Kiessling, F., & Lammers, T. (2018) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.07.007 · Cited by 1,262
Recent advances of cocktail chemotherapy by combination drug delivery systems
Hu, Q., Sun, W., Wang, C., & Gu, Z. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.10.022 · Cited by 625
Lübtow, M. M., Hahn, L., Haider, M. S., & Luxenhofer, R. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.7b05376 · Cited by 120
Metadata
- Authors
- Mayer, L. D., & Janoff, A. S.
- Venue
- Molecular Interventions
- Publisher
- CLOCKSS Archive
- Published
- 2007-08-01
- Volume
- 7
- Issue
- 4
- Pages
- 216-223
- ISSN
- 1534-0384 (ISSN-L)
- OpenAlex
- W1989789824
- Cited by
- 214
- References
- 2
- FWCI
- 3.53
- Type
- journal article
- Language
- en
- Open access
- closed
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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.