Radiovirotherapy for the Treatment of Cancer View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Kevin J. Harrington

ABSTRACT

This chapter focuses on the relatively narrow definition of radiovirotherapy as “the use of viral vectors engineered to express genes that drive uptake of radioisotopes into cancer cells for both detection and antitumor efficacy”. Having said that, it also addresses issues relating to combinations of virotherapy and standard anticancer modalities (such as external beam radiotherapy and cytotoxic chemotherapy) and novel agents (such as molecular radiosensitisers). However, within the context of radiovirotherapy, those discussions are limited solely to approaches that aim to improve the efficacy of the radioisotopic treatment. The introductory sections describe the biology of the sodium–iodide symporter (NIS)—the gene therapy approach that has been most widely exploited for radioisotope uptake. In subsequent sections, progress from initial work with replication-defective vectors onto replication-competent oncolytic vectors is described, and this recognises the increasing acceptance of replicating viruses as the vectors of choice for cytotoxic gene therapy strategies. The section on oncolytic NIS-expressing viruses deals mainly with vectors based on adenovirus and measles virus. The final sections describe the use of NIS-expressing vectors in multi-agent regimens and highlight the potential benefits of combinatorial therapeutic regimens. The limited number of clinical translational studies that have been performed to date are also reviewed, and opportunities for future development of NIS-based therapeutic strategies are discussed. More... »

PAGES

273-290

References to SciGraph publications

Book

TITLE

Novel Technologies for Vaccine Development

ISBN

978-3-7091-1817-7
978-3-7091-1818-4

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-7091-1818-4_9

DOI

http://dx.doi.org/10.1007/978-3-7091-1818-4_9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1031708683


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