Response of Merkel cell polyomavirus-positive merkel cell carcinoma xenografts to a survivin inhibitor.

Merkel cell carcinoma (MCC) is a neuroendocrine skin cancer associated with high mortality. Merkel cell polyomavirus (MCV), discovered in 2008, is associated with ~80% of MCC. The MCV large tumor (LT) oncoprotein upregulates the cellular oncoprotein survivin through its conserved retinoblastoma protein-binding motif. We confirm here that YM155, a survivin suppressor, is cytotoxic to MCV-positive MCC cells in vitro at nanomolar levels. Mouse survival was significantly improved for NOD-Scid-Gamma mice treated with YM155 in a dose and duration dependent manner for 3 of 4 MCV-positive MCC xenografts. One MCV-positive MCC xenograft (MS-1) failed to significantly respond to YM155, which corresponds with in vitro dose-response activity. Combination treatment of YM155 with other chemotherapeutics resulted in additive but not synergistic cell killing of MCC cell lines in vitro. These results suggest that survivin targeting is a promising therapeutic approach for most but not all MCV-positive MCCs.

Coupled transcriptome and proteome analysis of human lymphotropic tumor viruses: insights on the detection and discovery of viral genes.

BACKGROUND: Kaposi's sarcoma-associated herpesvirus (KSHV) and Epstein-Barr virus (EBV) are related human tumor viruses that cause primary effusion lymphomas (PEL) and Burkitt's lymphomas (BL), respectively. Viral genes expressed in naturally-infected cancer cells contribute to disease pathogenesis; knowing which viral genes are expressed is critical in understanding how these viruses cause cancer. To evaluate the expression of viral genes, we used high-resolution separation and mass spectrometry coupled with custom tiling arrays to align the viral proteomes and transcriptomes of three PEL and two BL cell lines under latent and lytic culture conditions. RESULTS: The majority of viral genes were efficiently detected at the transcript and/or protein level on manipulating the viral life cycle. Overall the correlation of expressed viral proteins and transcripts was highly complementary in both validating and providing orthogonal data with latent/lytic viral gene expression. Our approach also identified novel viral genes in both KSHV and EBV, and extends viral genome annotation. Several previously uncharacterized genes were validated at both transcript and protein levels. CONCLUSIONS: This systems biology approach coupling proteome and transcriptome measurements provides a comprehensive view of viral gene expression that could not have been attained using each methodology independently. Detection of viral proteins in combination with viral transcripts is a potentially powerful method for establishing virus-disease relationships.

Identifying sites bound by Epstein-Barr virus nuclear antigen 1 (EBNA1) in the human genome: defining a position-weighted matrix to predict sites bound by EBNA1 in viral genomes.

We identified binding sites for Epstein-Barr virus (EBV) nuclear antigen 1 (EBNA1) in the human genome using chromatin immunoprecipitation and microarrays. The sequences for these newly identified sites were used to generate a position-weighted matrix (PWM) for EBNA1's DNA-binding sites. This PWM helped identify additional DNA-binding sites for EBNA1 in the genomes of EBV, Kaposi's sarcoma-associated herpesvirus, and cercopithecine herpesvirus 15 (CeHV-15) (also called herpesvirus papio 15). In particular, a homologue of the Rep* locus in EBV was predicted in the genome of CeHV-15, which is notable because Rep* of EBV was not predicted by the previously developed consensus sequence for EBNA1's binding DNA. The Rep* of CeHV-15 functions as an origin of DNA synthesis in the EBV-positive cell line Raji; this finding thus builds on a set of DNA-binding sites for EBNA1 predicted in silico.