Tumor cells often escape immune detection by macrophages through elevated
CD47 levels, which interact with the
SIRPα receptor and send an anti-phagocytic signal. A new soluble SIRPα-Fc variant,
TTI-622, which features an IgG4 Fc tail, was evaluated for its ability to block the CD47-SIRPα interaction and enhance macrophage-mediated tumor cell phagocytosis, both in vitro and in vivo.
TTI-622 shows minimal binding to human red blood cells and no hemagglutination, reducing the risk of
anemia compared to CD47-blocking antibodies. It effectively promotes the phagocytosis of a wide range of tumor cells from patients with both liquid and solid cancers, with a preference for tumor cells over platelets in competitive assays.
In vivo studies demonstrated TTI-622's significant tumor growth inhibition and survival benefits as a monotherapy in a
DLBCL xenograft model. When combined with
daratumumab in
Burkitt lymphoma and
multiple myeloma models, TTI-622 enhanced the therapeutic effects. Notably, the combination of TTI-622 with
cetuximab in a non-responsive
head and neck cancer model led to a significant decrease in tumor growth and improved survival.
These findings indicate that TTI-622 can effectively stimulate macrophage phagocytosis in various types of cancer and, when combined with other antibodies, can increase the efficacy of treatments for both hematological and
solid tumors. This supports the potential of TTI-622 as a clinical candidate for use in combination therapies for cancer patients.
The research was presented by Gloria H. Y. Lin and colleagues 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.
