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Protecting Tumors by Preventing Human Papilloma Virus Antigen Presentation: Insights from Emerging Bioinformatics Algorithms

1
Program in Cellular and Molecular Biology, University of Michigan, Ann Arbor, MI 48109, USA
2
Department of Otolaryngology–Head and Neck Surgery, University of Michigan, Ann Arbor, MI 48109, USA
3
Department of Pharmacology, University of Michigan, Ann Arbor, MI 48109, USA
4
Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA
*
Author to whom correspondence should be addressed.
Cancers 2019, 11(10), 1543; https://doi.org/10.3390/cancers11101543
Received: 29 July 2019 / Revised: 24 September 2019 / Accepted: 9 October 2019 / Published: 12 October 2019
(This article belongs to the Special Issue Application of Next-Generation Sequencing in Cancers)
Recent developments in bioinformatics technologies have led to advances in our understanding of how oncogenic viruses such as the human papilloma virus drive cancer progression and evade the host immune system. Here, we focus our review on understanding how these emerging bioinformatics technologies influence our understanding of how human papilloma virus (HPV) drives immune escape in cancers of the head and neck, and how these new informatics approaches may be generally applicable to other virally driven cancers. Indeed, these tools enable researchers to put existing data from genome wide association studies, in which high risk alleles have been identified, in the context of our current understanding of cellular processes regulating neoantigen presentation. In the future, these new bioinformatics approaches are highly likely to influence precision medicine-based decision making for the use of immunotherapies in virally driven cancers. View Full-Text
Keywords: HNSCC; human papilloma virus; neoantigen bioinformatics HNSCC; human papilloma virus; neoantigen bioinformatics
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Gensterblum-Miller, E.; Brenner, J.C. Protecting Tumors by Preventing Human Papilloma Virus Antigen Presentation: Insights from Emerging Bioinformatics Algorithms. Cancers 2019, 11, 1543.

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