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

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...

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Main Authors: Elizabeth Gensterblum-Miller, J. Chad Brenner
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/11/10/1543
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author Elizabeth Gensterblum-Miller
J. Chad Brenner
author_facet Elizabeth Gensterblum-Miller
J. Chad Brenner
author_sort Elizabeth Gensterblum-Miller
collection DOAJ
description 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.
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spelling doaj.art-3acc87b10ad34c3fbb3c28560e74a61f2023-08-02T05:32:04ZengMDPI AGCancers2072-66942019-10-011110154310.3390/cancers11101543cancers11101543Protecting Tumors by Preventing Human Papilloma Virus Antigen Presentation: Insights from Emerging Bioinformatics AlgorithmsElizabeth Gensterblum-Miller0J. Chad Brenner1Program in Cellular and Molecular Biology, University of Michigan, Ann Arbor, MI 48109, USAProgram in Cellular and Molecular Biology, University of Michigan, Ann Arbor, MI 48109, USARecent 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.https://www.mdpi.com/2072-6694/11/10/1543hnscchuman papilloma virusneoantigen bioinformatics
spellingShingle Elizabeth Gensterblum-Miller
J. Chad Brenner
Protecting Tumors by Preventing Human Papilloma Virus Antigen Presentation: Insights from Emerging Bioinformatics Algorithms
Cancers
hnscc
human papilloma virus
neoantigen bioinformatics
title Protecting Tumors by Preventing Human Papilloma Virus Antigen Presentation: Insights from Emerging Bioinformatics Algorithms
title_full Protecting Tumors by Preventing Human Papilloma Virus Antigen Presentation: Insights from Emerging Bioinformatics Algorithms
title_fullStr Protecting Tumors by Preventing Human Papilloma Virus Antigen Presentation: Insights from Emerging Bioinformatics Algorithms
title_full_unstemmed Protecting Tumors by Preventing Human Papilloma Virus Antigen Presentation: Insights from Emerging Bioinformatics Algorithms
title_short Protecting Tumors by Preventing Human Papilloma Virus Antigen Presentation: Insights from Emerging Bioinformatics Algorithms
title_sort protecting tumors by preventing human papilloma virus antigen presentation insights from emerging bioinformatics algorithms
topic hnscc
human papilloma virus
neoantigen bioinformatics
url https://www.mdpi.com/2072-6694/11/10/1543
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