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Optimization of an immunotherapeutic protocol with poly(I,C)-LC.

Authors: J E, Talmadge; D, Hartmann;

Optimization of an immunotherapeutic protocol with poly(I,C)-LC.

Abstract

The development of successful immunotherapeutic protocols requires new therapeutic strategies as well as the development of clinically predictive tumor models and protocols. A bell-shaped response curve is observed with many biological response modifiers (BRMs), not only for immunomodulation, but also for therapeutic activity. Although most BRMs, including poly(I,C)-LC, are toxic at high doses, the administration of nontoxic doses by an optimal protocol and route of injection results in significant therapeutic benefit and increased immunomodulation in tumor-bearing animals compared to the administration of a maximum tolerated dose (MTD). We suggest that Phase II clinical trials using an optimal immunomodulatory protocol may result in increased therapeutic activity compared to protocols based on the MTD.

Keywords

Interferon Inducers, Neoplasms, Experimental, Methylcellulose, Drug Administration Schedule, Cell Line, Mice, Poly I-C, Carboxymethylcellulose Sodium, Animals, Polylysine, Immunotherapy, Neoplasm Metastasis

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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!
9
Average
Top 10%
Top 10%
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