Reovirus mutant jin-3 exhibits lytic and immune-stimulatory effects in preclinical human prostate cancer models.
Arjanneke F van de MerbelGeertje van der HorstMaaike H van der MarkSelas T F BotsDiana J M van den WollenbergCorrina M A de RidderDebra StuurmanTilly AaldersSigrun Erkens-SchulzNadine van MontfoortWouter R KarthausNiven MehraMinke SmitsJack A SchalkenThomas A KirklandWytske M van WeerdenGabri van der PluijmPublished in: Cancer gene therapy (2021)
Treatment of castration-resistant prostate cancer remains a challenging clinical problem. Despite the promising effects of immunotherapy in other solid cancers, prostate cancer has remained largely unresponsive. Oncolytic viruses represent a promising therapeutic avenue, as oncolytic virus treatment combines tumour cell lysis with activation of the immune system and mounting of effective anti-tumour responses. Mammalian Orthoreoviruses are non-pathogenic human viruses with a preference of lytic replication in human tumour cells. In this study, we evaluated the oncolytic efficacy of the bioselected oncolytic reovirus mutant jin-3 in multiple human prostate cancer models. The jin-3 reovirus displayed efficient infection, replication, and anti-cancer responses in 2D and 3D prostate cancer models, as well as in ex vivo cultured human tumour slices. In addition, the jin-3 reovirus markedly reduced the viability and growth of human cancer cell lines and patient-derived xenografts. The infection induced the expression of mediators of immunogenic cell death, interferon-stimulated genes, and inflammatory cytokines. Taken together, our data demonstrate that the reovirus mutant jin-3 displays tumour tropism, and induces potent oncolytic and immunomodulatory responses in human prostate cancer models. Therefore, jin-3 reovirus represents an attractive candidate for further development as oncolytic agent for treatment of patients with aggressive localised or advanced prostate cancer.
Keyphrases
- prostate cancer
- endothelial cells
- radical prostatectomy
- induced pluripotent stem cells
- cell death
- pluripotent stem cells
- high glucose
- cell proliferation
- single cell
- signaling pathway
- deep learning
- transcription factor
- bone marrow
- electronic health record
- young adults
- endoplasmic reticulum stress
- big data
- artificial intelligence
- binding protein