The
CD47 protein, a part of the immunoglobulin superfamily, plays a significant role in various cellular activities such as cell movement, attachment, and the function of T cells. It interacts with
SIRPα, an inhibitory protein found on macrophages, to prevent the engulfment of cells that express CD47. Initially discovered as a
tumor marker in
ovarian cancer, CD47 has been found on a variety of human cancers, including
blood and solid tumors. High levels of CD47 in
blood cancers are linked to unfavorable outcomes. While CD47 is present in low amounts on most normal cells, its absence or altered distribution on the cell membrane can indicate aging or injury, especially in red blood cells. The high presence of CD47 on cancer cells can prevent their clearance by the immune system, aiding in the evasion of immune responses. However, interventions that interrupt the CD47-SIRPα interaction can facilitate the clearance of CD47+ cells by macrophages and can improve the effectiveness of therapeutic antibodies.
SRF231, a fully human monoclonal antibody, has been developed to target CD47 with high affinity and impede its interaction with SIRPα. This antibody has been shown to enhance the phagocytic activity of macrophages against several primary tumor samples and cell lines in vitro, with a preference for tumor cells over normal white blood cells and red blood cells. The efficacy of SRF231 was further evaluated in preclinical mouse models with hematologic malignancies, where it demonstrated significant inhibition of tumor growth both as a standalone treatment and in combination with other antibodies. The anti-tumor effects of SRF231 are believed to be mediated by macrophages, as their depletion reduced the observed tumor growth inhibition.
In conclusion, SRF231 has demonstrated the potential to induce phagocytosis and clearance of tumor cells in preclinical models of
myeloma and
lymphoma, both as a monotherapy and in combination with other antibodies. The antibody is currently undergoing studies to support its investigational new drug application and is anticipated to enter clinical trials in the near future. The study declares no conflicts of interest.
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.
