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Viral Vectors for Cancer Immunotherapy

Authors: Richard, Harrop; Miles W, Carroll;

Viral Vectors for Cancer Immunotherapy

Abstract

Over the last decade, immunotherapy approaches for the treatment of cancer have been investigated with renewed vigour, perhaps catalyzed by the clinical successes seen with monoclonal antibody and cytokine based therapies. The identification of tumor-associated antigens (TAAs) in multiple cancer types has enabled the development of targeted immunotherapies and allayed some of the safety concerns associated with the induction of deleterious autoimmune reactions. In addition to the TAA or therapeutic gene, the antigen delivery system is equally as important for the development of a successful cancer vaccine. One approach to induce a potent and targeted antitumor response is to use viruses to deliver the TAA to cells of the immune system. A diverse array of oncolytic viruses and recombinant viral vectors encoding numerous therapeutic genes or TAAs have been tested in pre-clinical studies and produced results which, in some cases, justify their clinical development as potential cancer immunotherapies. Within the last 5-10 years, many such recombinant vectors have made the transition from pre-clinical research to clinical development and it is these, which are given most weight in this review.

Related Organizations
Keywords

Membrane Glycoproteins, Genetic Vectors, Antibodies, Monoclonal, Autoimmunity, Genetic Therapy, Prostate-Specific Antigen, Cancer Vaccines, Carcinoembryonic Antigen, Gene Expression Regulation, Antigens, Neoplasm, Neoplasms, Viruses, Animals, Cytokines, Humans, Immunotherapy, Antigens

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    popularity
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    influence
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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!
26
Average
Top 10%
Top 10%
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