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High-throughput screening to enhance oncolytic virus immunotherapy

Overview of attention for article published in Oncolytic Virotherapy, April 2016
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Title
High-throughput screening to enhance oncolytic virus immunotherapy
Published in
Oncolytic Virotherapy, April 2016
DOI 10.2147/ov.s66217
Pubmed ID
Authors

KJ Allan, David F Stojdl, SL Swift

Abstract

High-throughput screens can rapidly scan and capture large amounts of information across multiple biological parameters. Although many screens have been designed to uncover potential new therapeutic targets capable of crippling viruses that cause disease, there have been relatively few directed at improving the efficacy of viruses that are used to treat disease. Oncolytic viruses (OVs) are biotherapeutic agents with an inherent specificity for treating malignant disease. Certain OV platforms - including those based on herpes simplex virus, reovirus, and vaccinia virus - have shown success against solid tumors in advanced clinical trials. Yet, many of these OVs have only undergone minimal engineering to solidify tumor specificity, with few extra modifications to manipulate additional factors. Several aspects of the interaction between an OV and a tumor-bearing host have clear value as targets to improve therapeutic outcomes. At the virus level, these include delivery to the tumor, infectivity, productivity, oncolysis, bystander killing, spread, and persistence. At the host level, these include engaging the immune system and manipulating the tumor microenvironment. Here, we review the chemical- and genome-based high-throughput screens that have been performed to manipulate such parameters during OV infection and analyze their impact on therapeutic efficacy. We further explore emerging themes that represent key areas of focus for future research.

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Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Bachelor 10 21%
Student > Ph. D. Student 7 15%
Student > Master 6 13%
Student > Postgraduate 4 9%
Other 5 11%
Unknown 4 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 38%
Immunology and Microbiology 7 15%
Agricultural and Biological Sciences 5 11%
Medicine and Dentistry 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Other 5 11%
Unknown 4 9%