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The genetic origin of drug resistance in neoplasms: implications for systemic therapy.

Authors: J H, Goldie; A J, Coldman;

The genetic origin of drug resistance in neoplasms: implications for systemic therapy.

Abstract

Drug resistance continues to be a major factor in limiting the effectiveness of cancer chemotherapy. Evidence from a variety of sources implicates a genetic basis for most drug-resistant phenotypes. Assuming a random spontaneous origin for these resistant cells, it is possible to develop mathematical and computer-based models of the drug treatment of tumors. These can provide a more intuitive understanding of the basis of treatment success or failure. This in turn may lead to the development of more rational and effective treatment protocols. Studies of phenomena such as pleiotropic drug resistance are providing insights into how multiple levels of drug resistance occur and are yielding information on how certain types of drug resistance may be prevented or overcome.

Keywords

Models, Genetic, Computers, Drug Resistance, Genetic Variation, Antineoplastic Agents, DNA, Neoplasm, Hybrid Cells, Transfection, Clone Cells, Karyotyping, Neoplasms, Animals, Humans

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
550
Top 10%
Top 0.1%
Top 1%
Related to Research communities
Cancer Research
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