Ig-like transcripts (ILTs) are a group of receptors that regulate the immune response and are found on various immune cells.
ILT2, in particular, is an inhibitory receptor that can interact with MHC class I molecules, especially
HLA-G, which is linked to
tumor growth. The ILT2 pathway is considered a promising target for cancer immunotherapy.
BND-22 is a humanized IgG4 antibody designed to antagonize ILT2 for
solid tumor treatment. Its binding affinity to ILT2 was assessed through several methods, including flow cytometry and ELISA. The study aimed to understand BND-22's impact on reversing ILT2's inhibitory effects on immune cells such as macrophages and lymphocytes.
In vitro and ex vivo experiments were conducted using various cancer cell lines and patient tumor tissues to evaluate the effector functions of macrophages and NK cells in the presence of BND-22. Additionally, animal models of
melanoma and
colorectal carcinoma were utilized to study the in vivo anti-tumor effects of the antibody.
The results showed that BND-22 specifically binds to ILT2 with high affinity and can block its interaction with HLA-G. This blockade led to increased phagocytosis of tumor cells by macrophages and enhanced cytotoxicity of NK cells. Furthermore, it was observed that blocking ILT2 and
PD-1 simultaneously had a synergistic effect, increasing the production of pro-inflammatory cytokines. In animal models, BND-22 was found to boost the anti-tumor activity of immune cells, inhibit tumor growth, and extend survival.
BND-22 is a novel anti-ILT2 antibody that demonstrates a robust immune response against tumors in various experimental settings. It exhibits a unique mechanism of action by targeting multiple immune cell types. A clinical trial is planned to assess the safety, tolerability, and anti-tumor potential of BND-22 in cancer patients with tumors expressing HLA-G.
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.
