Targeting PVRIG with COM701: Advancing Cancer Immunotherapy

3 June 2024
The study explores the role of PVRIG, a newly identified member of the B7/CD28 family, as a potential target for cancer therapy. Computational algorithms were used to discover PVRIG, which is expressed by T and NK cells within the tumor microenvironment and interacts with PVRL2. The research focused on the expression pattern, functional characterization, and anti-tumor activity of blocking antibodies against PVRIG, as well as the creation and analysis of PVRIG knockout (KO) mice.

Through phage display and hybridoma platforms, antibodies were developed and screened for their capacity to boost T-cell activity in vitro. A lead antibody, COM701, was selected for its high affinity and ability to block the PVRIG-PVRL2 interaction, enhancing the activation of both primary and tumor-derived immune cells. COM701 also showed significant improvement in T cell function when used in combination with PD1 or TIGIT antibody blockade.

PVRIG KO mice were developed to study the phenotypic and immune response differences between PVRIG null and wild-type (WT) T cells. The KO mice exhibited slower tumor growth and enhanced anti-cancer immunity compared to WT mice. A surrogate antibody that blocks the PVRIG-PVRL2 interaction was found to inhibit the growth of colon carcinoma and melanoma in combination with an anti-PDL1 antibody.

The study concludes that PVRIG is a novel T cell immune checkpoint with potential for therapeutic targeting. The antibody COM701, currently in preclinical development, demonstrates the potential for PVRIG blockade to be effectively combined with other checkpoint inhibitors to enhance anti-tumor immunity. This suggests that targeting PVRIG could be a valuable addition to current cancer treatment strategies.

How to Use Synapse Database to Search and Analyze Translational Medicine Data?

The transational medicine section of the Synapse database supports searches based on fields such as drug, target, and indication, covering the T0-T3 stages of translation. Additionally, it offers a historical conference search function as well as filtering options, view modes, translation services, and highlights summaries, providing you with a unique search experience.

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Taking obesity as an example, select "obesity" under the indication category and click search to enter the Translational Medicine results list page. By clicking on the title, you can directly navigate to the original page.

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By clicking the analysis button, you can observe that GLP-1R treatment for obesity has gained significant attention over the past three years, with preclinical research still ongoing in 2023. Additionally, there are emerging potential targets, such as GDF15, among others.

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Click on the image below to go directly to the Translational Medicine search interface.

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