High-throughput screening to enhance oncolytic virus immunotherapy.

IF 6.7 Oncolytic Virotherapy Pub Date : 2016-04-05 eCollection Date: 2016-01-01 DOI:10.2147/OV.S66217
K J Allan, David F Stojdl, S L Swift
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引用次数: 5

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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高通量筛选增强溶瘤病毒免疫治疗。
高通量屏幕可以快速扫描和捕获跨多种生物参数的大量信息。虽然已经设计了许多筛选来发现潜在的新的治疗靶点,这些靶点能够削弱导致疾病的病毒,但针对提高用于治疗疾病的病毒的功效的筛选相对较少。溶瘤病毒(OVs)是一种生物治疗剂,具有治疗恶性疾病的固有特异性。某些OV平台——包括基于单纯疱疹病毒、呼肠孤病毒和牛痘病毒的平台——在高级临床试验中已显示出对实体瘤的成功。然而,许多OVs只经过了最小的工程来巩固肿瘤特异性,很少有额外的修改来操纵其他因素。OV与荷瘤宿主之间相互作用的几个方面作为改善治疗结果的靶点具有明确的价值。在病毒水平上,这些包括向肿瘤的传递、传染性、生产力、溶瘤、旁观者杀伤、扩散和持久性。在宿主水平上,这些包括参与免疫系统和操纵肿瘤微环境。在这里,我们回顾了基于化学和基因组的高通量筛选,这些筛选在OV感染期间操纵这些参数,并分析了它们对治疗效果的影响。我们进一步探索代表未来研究重点领域的新兴主题。
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