Viral infections are associated with several human malignancies, yet the role of viral infections in the central nervous system (CNS) tumors remains unclear. Although human cytomegalovirus (HCMV) has been associated with glioblastoma multiforme (GBM), the mechanisms of pathogenesis remain to be determined. GBM is the most common primary malignancy in the CNS, and unfortunately, it is also one of the most devastating. Novel approaches to studying this disease are paramount for the advancement in treatment options for patients with this dismal disease. Using robust next generation sequencing technology, this project aims to provide insight into HCMV biology related to GBMs. In addition, investigation of the tumor microenvironment for HCMV specific host cellular gene changes will lead to the discovery of pathways in which HCMV dysregulation promotes GBM pathology. The overarching hypothesis for this project is that HCMV contributes to GBM pathogenesis through modulation of the tumor microenvironment.
Glioblastoma multiforme (GBM) is one of the most devastating cancers in humans. With an average survival time of just over one year, there is a significant need for advanced therapeutic options and a more in-depth understanding of its biology. Human cytomegalovirus (HCMV) has been linked to GBMs, but the underlying mechanisms by which HCMV promotes GBM pathogenesis are currently unclear. An understanding of HCMV and GBMs is not only important for understanding the disease process but also to guide the development of preventative and/or therapeutic approaches including vaccines and anti-virals.
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|O'Grady, Tina; Cao, Subing; Strong, Michael J et al. (2014) Global bidirectional transcription of the Epstein-Barr virus genome during reactivation. J Virol 88:1604-16|
|Striker, Rob; Mehle, Andrew (2014) Inhibitors of peptidyl proline isomerases as antivirals in hepatitis C and other viruses. PLoS Pathog 10:e1004428|
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|Strong, Michael J; Lin, Zhen; Flemington, Erik K (2014) Expanding the conversation on high-throughput virome sequencing standards to include consideration of microbial contamination sources. MBio 5:e01989|
|Strong, Michael J; Xu, Guorong; Morici, Lisa et al. (2014) Microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples. PLoS Pathog 10:e1004437|
|Strong, Michael J; O'Grady, Tina; Lin, Zhen et al. (2013) Epstein-Barr virus and human herpesvirus 6 detection in a non-Hodgkin's diffuse large B-cell lymphoma cohort by using RNA sequencing. J Virol 87:13059-62|