| Chapter title |
Merkel Cell Polyomavirus: A New DNA Virus Associated with Human Cancer
|
|---|---|
| Chapter number | 4 |
| Book title |
Infectious Agents Associated Cancers: Epidemiology and Molecular Biology
|
| Published in |
Advances in experimental medicine and biology, January 2017
|
| DOI | 10.1007/978-981-10-5765-6_4 |
| Pubmed ID | |
| Book ISBNs |
978-9-81-105764-9, 978-9-81-105765-6
|
| Authors |
Margo MacDonald, Jianxin You, MacDonald, Margo, You, Jianxin |
| Abstract |
Merkel cell polyomavirus (MCPyV or MCV) is a novel human polyomavirus that has been discovered in Merkel cell carcinoma (MCC), a highly aggressive skin cancer. MCPyV infection is widespread in the general population. MCPyV-associated MCC is one of the most aggressive skin cancers, killing more patients than other well-known cancers such as cutaneous T-cell lymphoma and chronic myelogenous leukemia (CML). Currently, however, there is no effective drug for curing this cancer. The incidence of MCC has tripled over the past two decades. With the widespread infection of MCPyV and the increase in MCC diagnoses, it is critical to better understand the biology of MCPyV and its oncogenic potential. In this chapter, we summarize recent discoveries regarding MCPyV molecular virology, host cellular tropism, mechanisms of MCPyV oncoprotein-mediated oncogenesis, and current therapeutic strategies for MCPyV-associated MCC. We also present epidemiological evidence for MCPyV infection in HIV patients and links between MCPyV and non-MCC human cancers. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 22% |
| Student > Master | 4 | 15% |
| Researcher | 3 | 11% |
| Other | 2 | 7% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 30% |
| Immunology and Microbiology | 3 | 11% |
| Medicine and Dentistry | 2 | 7% |
| Computer Science | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 10 | 37% |