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An Oncolytic Poxvirus Encoding hNIS, Shows Antitumor Efficacy and Allows Tumor Imaging in a Liver Cancer Model
Oncolytic viruses (OV) are live viruses that can selectively replicate in cancer cells. We have engineered an OV (CF33) to make it cancer-selective through the deletion of its J2R (thymidine kinase) gene. In addition, this virus has been armed with a reporter gene, human sodium iodide symporter (hNI...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320468/ http://dx.doi.org/10.1158/1535-7163.MCT-22-0635 |
Sumario: | Oncolytic viruses (OV) are live viruses that can selectively replicate in cancer cells. We have engineered an OV (CF33) to make it cancer-selective through the deletion of its J2R (thymidine kinase) gene. In addition, this virus has been armed with a reporter gene, human sodium iodide symporter (hNIS), to facilitate noninvasive imaging of tumors using PET. In this study, we evaluated the oncolytic properties of the virus (CF33-hNIS) in liver cancer model, and its usefulness in tumor imaging. The virus was found to efficiently kill liver cancer cells and the virus-mediated cell death exhibited characteristics of immunogenic death based on the analysis of 3 damage-associated molecular patterns: calreticulin, ATP, and high mobility group box-1. Furthermore, local or systemic administration of a single dose of the virus showed antitumor efficacy against a liver cancer xenograft model in mice and significantly increased survival of treated mice. Finally, PET scanning was performed following injection of the radioisotope I-124, for imaging of tumors, and a single dose of virus as low as 1E03 pfu, administered intra-tumorally or intravenously, allowed for PET imaging of tumors. In conclusion, CF33-hNIS is safe and effective in controlling human tumor xenografts in nude mice, and it also facilitates noninvasive imaging of tumors. |
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