One in 5 cancer cases worldwide is caused by infection (International Agency for Research on Cancer, 2002) and yet only seven viruses have been established to cause human cancers. Our laboratory discovered and characterized two of these agents, KS herpesvirus (KSHV/HHV8) and Merkel cell polyomavirus (MCV), both of which were discovered through highly-directed genomic searches. These findings initiated new fields in cancer biology and provided new bases for improved diagnosis, treatment and prevention of cancers caused by these viruses. Traditional approaches to cancer genetics have focused almost exclusively on somatic cell mutations and large scale sequencing studies are likely to miss discovery of viruses that might be causing some human tumors. Over the past four years, a group of seven new human polyomaviruses (including MCV, known to cause Merkel cell carcinoma (MCC)) were discovered that encode T antigen oncoproteins and are credible candidate tumor viruses. Although most adults are chronically infected with these viruses, none were found through cancer genome anatomy project sequencing studies. The NCI Director's Provocative Question Initiative #12 arises from our recent MCV-related MCC studies showing that MCV, a common commensal skin infection, initiates tumors after specific mutations to the viral genome. This is a new mechanism for carcinogenesis that will not necessarily be found through cancer cell genome sequencing projects unless a highly directed search for nonhuman viral sequences is performed in a orderly fashion. To identify human cancer viruses, we developed digital transcriptome subtraction (DTS), a deep sequencing approach that depends on generation of high-fidelity sequence databases and provides quantitative data on tumor cell transcription. Although standard deep sequencing has been used by others to search for viruses, successful analysis is highly-dependent on specific technical skills and assumptions. In 2008, we used DTS to discover MCV mRNA sequences in MCC, allowing subsequent full viral genome sequencing and confirmatory studies. In this application, we maximize the likelihood for identifying a novel cancer virus (es) in hematologic malignancies through both directed and unbiased approaches. Our directed approach will survey a large panel of hematologic malignancies for presence of the new human polyomaviruses. Using information gained from the biology of MCV, we will determine whether tumor-specific viral mutation patterns are present that differentiate causal from incidental viral infections. Our unbiased approach will use DTS to examine highly-selected gold-standard cases of EBV-negative post-transplant lymphoproliferative disorder (EN-PTLD) for presence of novel viral transcripts. High PHRED-equivalent sequencing of EN-PTLD tumors to <1 transcript per million (TPM) level will be performed to identify novel viral transcripts. These data will be compared to DTS on EBV-positive PTLD and CD19+ peripheral B cells to 1) confirm virus transcript detection and 2) determine differential cellular gene expression patterns between EBV-negative and EBV- positive disease. We will also initiate an exploratory collaboration with the Pacific Northwest National Laboratory to develop the next generation of tumor virus discovery technology using unsupervised LC- MS/MS proteomics of whole EN-PTLD tissue samples. Comparisons of DTS (transcript) and LC-MS/MS (peptide) data, obtained from the same tissue samples, will allow a more precise subtraction of human sequence data to identify novel viruses present in tumors. With the completion of these aims, we anticipate being able to answer whether one of the six new human polyomaviruses contributes to hematolymphoid malignancies and we will determine whether or not EN- PTLD harbors a novel virus. This systematic approach provides the highest probability to find a new human cancer virus and we will develop new technologic approaches that can be widely used in future searches for infections in human cancer.
Cancer viruses cause a large but underappreciated fraction of human cancer cases. New viruses causing cancer can be discovered with new sequencing technologies but are usually overlooked unless the samples are analyzed in a highly-specialized manner. Once a new tumor virus is found, a major obstacle to overcome is determining whether the virus is the cause for the cancer or is a simply a coincidental infection that plays no role in cancer formation. We plan to approach these problems in two ways. We will first perform a broad search for members of a group of newly-discovered viruses, called polyomaviruses, in hematologic cancers. These viruses all encode oncoproteins (T antigens) that target cellular pathways controlling cell proliferation. For these viruses to cause cancer, they must undergo specific mutations within the cancer cell. These mutations prevent the polyomaviruses from replicating and so finding these mutations distinguishes tumor-causing from coincidental polyomavirus infections in samples that are positive for one or more of the new polyomaviruses. We will next examine in detail one type of hematologic cancer highly likely to be caused by viral infection. Most cases of this malignancy, called post-transplant lymphoproliferative disorder, are caused by a known tumor virus (Epstein-Barr virus, EBV). We will examine cases of post-transplant lymphoproliferative disorder that are negative for EBV and compare them to EBV-positive samples to search for gene products from a new virus. The ability to find EBV fragments in known EBV-positive tumors will serve as a quality- control reference for our studies. If a new virus fragment is found, the whole virus can be rapidly acquired and then tested in a variety of tumors to determine if it is also present in other, more common cancers. We will first use a genomic methodology developed in our laboratory and successfully used to discover one new human cancer virus called Merkel cell polyomavirus (MCV). This method detects messenger RNA from viruses in tumors. We will next couple this technology with a method to detect peptides made in tumor cells through collaboration with scientists at the DOE Pacific Northwest National Laboratory. We anticipate that this combined approach will detect viruses in tumors if they are present and rule out certain classes of viral cause when no virus is found. The data generated by this project can be repurposed to also measure cellular gene expression from tumors so that even if no new viruses are discovered, the critical nonviral genetic changes that contribute to a cancer can be studied.
|VelÃ¡squez, Celestino; Cheng, Erdong; Shuda, Masahiro et al. (2016) Mitotic protein kinase CDK1 phosphorylation of mRNA translation regulator 4E-BP1 Ser83 may contribute to cell transformation. Proc Natl Acad Sci U S A 113:8466-71|
|Toptan, Tuna; Yousem, Samuel A; Ho, Jonhan et al. (2016) Survey for human polyomaviruses in cancer. JCI Insight 1:|
|Ho, Jonhan; Jedrych, Jaroslaw J; Feng, Huichen et al. (2015) Human polyomavirus 7-associated pruritic rash and viremia in transplant recipients. J Infect Dis 211:1560-5|
|Richards, Kathleen F; Guastafierro, Anna; Shuda, Masahiro et al. (2015) Merkel cell polyomavirus T antigens promote cell proliferation and inflammatory cytokine gene expression. J Gen Virol 96:3532-44|
|Kwun, Hyun Jin; Shuda, Masahiro; Camacho, Carlos J et al. (2015) Restricted protein phosphatase 2A targeting by Merkel cell polyomavirus small T antigen. J Virol 89:4191-200|
|Shuda, Masahiro; VelÃ¡squez, Celestino; Cheng, Erdong et al. (2015) CDK1 substitutes for mTOR kinase to activate mitotic cap-dependent protein translation. Proc Natl Acad Sci U S A 112:5875-82|
|Shuda, Masahiro; Guastafierro, Anna; Geng, Xuehui et al. (2015) Merkel Cell Polyomavirus Small T Antigen Induces Cancer and Embryonic Merkel Cell Proliferation in a Transgenic Mouse Model. PLoS One 10:e0142329|
|Wendzicki, Justin A; Moore, Patrick S; Chang, Yuan (2015) Large T and small T antigens of Merkel cell polyomavirus. Curr Opin Virol 11:38-43|
|Kwun, Hyun Jin; Toptan, Tuna; Ramos da Silva, Suzane et al. (2014) Human DNA tumor viruses generate alternative reading frame proteins through repeat sequence recoding. Proc Natl Acad Sci U S A 111:E4342-9|
|Moore, Patrick S; Chang, Yuan (2014) The conundrum of causality in tumor virology: the cases of KSHV and MCV. Semin Cancer Biol 26:4-12|
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