Research indicates that combining
PD-1 inhibitors with αCTLA-4 monoclonal antibodies can enhance clinical outcomes but also raises the risk of severe immune-related side effects. To address this, a new strategy is needed to separate the therapeutic benefits from the toxic effects.
MEDI5752 is a novel bispecific antibody that targets both PD-1 and
CTLA-4 with a modified Fc domain to minimize side effects. It is designed to specifically bind to these two T cell regulators, aiming to maximize anti-
tumor activity while minimizing peripheral toxicity.
The study shows that MEDI5752 can effectively saturate CTLA-4 on PD-1 positive cells at much lower concentrations than on PD-1 negative cells. It also demonstrates that the monovalent targeting of CTLA-4 by MEDI5752 is less potent than bivalent targeting with traditional αCTLA-4 antibodies. However, the potency of targeting PD-1 is only moderately affected when switching from a bivalent to a monovalent approach.
MEDI5752 exhibits similar activity to a combined treatment of PD-1 and CTLA-4 antibodies in primary T cell activation assays. It is rapidly internalized upon binding to its targets, similar to the kinetics of traditional αCTLA-4 antibodies. Notably, MEDI5752's unique mechanism involves tethering CTLA-4 to PD-1, leading to the internalization and degradation of PD-1, which is a distinct advantage over the use of separate antibodies targeting these receptors.
This innovative bispecific antibody may offer a better therapeutic profile compared to the combined use of bivalent αPD-1 and αCTLA-4 antibodies, potentially providing significant benefits in various cancer treatments. The research was presented at the American Association for Cancer Research Annual Meeting in 2018.
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.

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.

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.

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