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[Place of in vitro models in preclinical evaluation of anticancer drugs].

Authors: J, Robert;

[Place of in vitro models in preclinical evaluation of anticancer drugs].

Abstract

In vitro models have been intensively developed for several years for selecting new anticancer agents. The National Cancer Institute has even chosen as a primary screen of new molecules a panel of 60 human tumor cell lines. However, it may seem hazardous to rely too much on in vitro models for the discovery and selection of new anticancer drugs: (1 because no metabolism of the compounds occurs in cell culture; (2 because an in vitro cell line cannot be representative of an in situ tumor cell population; (3 because antiproliferative activity is only part of antitumor activity; (4 because the toxicologic properties of the molecules are not taken into account by in vitro systems; (5 because cell cultures do not allow any selectivity study between tumor cells and normal cells. With examples drawn from three different therapeutic classes, anthracyclines, taxoids and camptothecin derivatives, we show that in vitro tests are insufficiently predictive of antitumor potential. The excess of confidence allowed to these models may lead to premature decisions which are not after that justified by clinical trials.

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Keywords

Antibiotics, Antineoplastic, Cell Survival, Reproducibility of Results, Antineoplastic Agents, In Vitro Techniques, Antineoplastic Agents, Phytogenic, Microtubules, Structure-Activity Relationship, Models, Chemical, Predictive Value of Tests, Tumor Cells, Cultured, Animals, Humans, Drug Screening Assays, Antitumor, Cell Division

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citations
The total number of citations received by all articles of the researcher of interest.
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!
1
Average
Average
Average
Related to Research communities
Cancer Research
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