Pancreatic cancer (PC) is a highly aggressive disease with unmet therapeutic needs. Recent advances in the use of oncolytic viruses (OVs) as cancer therapeutic agents bring new hope to fight the notorious disease that is PC. Although OVs have shown promising results in certain cancers, some tumors remain resistant to OV therapy due to their inherent residual antiviral mechanisms. We hypothesized that the use of OV-encoded artificial microRNAs (amiRNAs) could help target the cellular antiviral components associated with the observed OV resistance and could also sensitize neighboring tumor cells to OV therapy and small molecule inhibitors through the secretion of amiRNA-containing extracellular vesicles (EVs) from infected cells. To find such amiRNAs, a viral surrogate library encoding ~16,000 unique amiRNAs was passaged in pancreatic cancer cell lines to enrich for sequences that could enhance OV replication. An amiRNA that improves PC cell killing when expressed from an OV was identified. Target identification of this amiRNA (amiR-4) revealed ARID1A as a key player in resistance to OV therapy in pancreatic cancers. This target is of particular interest, since its downregulation acts in a synthetic lethal fashion with inhibition of the EZH2 methyltransferase. Combining VSV51-amiR-4 with a small molecule inhibitor of EZH2 enhances PC cell death. Moreover, amiR-4 is packaged in cancer cell-secreted EVs which can reach neighboring naïve cells to sensitize them to EZH2 inhibition-mediated cell death and to spread the OV-mediated tumor killing effect throughout the tumor. This data translates into tumor debulking and survival in animal models of highly aggressive PC. This work not only broadens our knowledge on the resistance of select tumors to oncolytic virotherapy and the EV-mediated bystander killing effect in OV-infected tumors, but it also establishes OVs as a novel tool to produce anti-cancer therapeutic EVs in situ to improve therapeutic gain. Ultimately, our work provides new hope for a cure to the grim disease that is PC.
| Identifer | oai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/40384 |
| Date | 16 April 2020 |
| Creators | Wedge, Marie-Ève |
| Contributors | Bell, John, Ilkow, Carolina Solange |
| Publisher | Université d'Ottawa / University of Ottawa |
| Source Sets | Université d’Ottawa |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
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