Queens University
Developing a co-culture model of ovarian cancer to identify immunotherapies that can overcome TGF-β-induced immunosuppression
Abstract
dc:description.abstractOvarian cancer is the most fatal gynecological malignancy, with high-grade serous ovarian cancer (HGSC) being the most commonly diagnosed and aggressive subtype. Although HGSC initially responds well to debulking surgery and platinum-based chemotherapy, approximately 80% of patients experience recurrence and subsequent treatment resistance. Immunotherapies have shown limited efficacy against HGSC, which is partly attributed to the presence of immunosuppressive cytokines in the tumor microenvironment (TME), notably transforming growth factor beta (TGF-β). TGF-β suppresses anti-tumor immunity, including the expression of granzyme B (GzmB) and other cytolytic effectors in CD8+ T cells. To address this challenge, we established a simplified co-culture model of the HGSC TME to test immunotherapies and combination strategies capable of overcoming a high-TGF-β environment. ID8 p53-/- Nf1-/- cells were transduced with a GzmB-cleavable Förster resonance energy transfer (FRET) reporter and either the chicken ovalbumin (OVA) epitope or scrambled (SCR) epitope control. Co-culturing OVA cells with OVA-specific OT-1 T cells resulted in decreased FRET-positive cells, indicating OT-1 T cells effectively target OVA cells. TGF-β inhibition with galunisertib (LY2157299, LY) restored GzmB expression in T cells and enhanced cancer killing in co-culture. Since LY monotherapy has been clinically ineffective, we aimed to identify effective combination treatments. SHP099, a SHP2 inhibitor that also increased GzmB expression in TGF-β-treated T cells, performed well in co-culture as a monotherapy but did not synergize with LY. However, we identified several agents that combined effectively with LY, including erlotinib, pazopanib, anti-PD-L1 antibody, and the PAK1 inhibitor FRAX597, each demonstrating increased T cell-mediated cancer cell killing. Our co-culture model has proven to be an effective preclinical tool for screening immunotherapies, providing valuable insights for future in vivo testing.
Degree
thesis:*- Department dc:contributor.department
- Biomedical and Molecular Sciences
- Year dc:date.issued
- 2024
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Potts, Amelia
- Advisor dc:contributor.supervisor
-
- Craig, Andrew
Subjects
dc:subject × 6Rights
dc:rights- Statement dc:rights
-
- Attribution-NonCommercial-NoDerivatives 4.0 International
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1974/33187
- OAI identifier oai:identifier
- oai:queensu.scholaris.ca:1974/33187