A novel single domain VHH multi-specific antibody structure has been engineered, with potential to address significant medical needs in
cancers such as
small cell lung cancer (SCLC). This trispecific antibody, designated KB-436, is designed to target three distinct receptors:
Dopamine Receptor 2 (DRD2),
PD-1, and
CD47. DRD2, a receptor linked to poor patient outcomes and increased cancer cell stemness, is prevalent in many cancers including SCLC, where it is highly expressed in a majority of patients. The PD-1 pathway has been a focus of
lung cancer treatment, with
PD-L1 inhibitors approved for first-line therapy. However, SCLC patients often face rapid chemotherapy failure and resistance to immunotherapy, which may be associated with low levels of immune cell infiltration and high levels of
circulating tumor cells.
The trispecific antibody KB-436 is composed of three VHH modules targeting DRD2, PD-1, and CD47, each contributing to a multifaceted anti-tumor effect. The anti-DRD2 module triggers intracellular signaling, the anti-PD-1 module enhances T cell function, and the anti-CD47 module facilitates T cell recruitment and inhibits the CD47-
SIRPa interaction. In preclinical studies, KB-436 demonstrated significant tumor growth suppression in a DRD2-positive SCLC model and showed robust anti-tumor efficacy across various xenograft models of human SCLC and
solid tumors. The treatment not only suppressed tumor growth but also enhanced the effects of
cisplatin, blocked metastasis formation, and increased survival in metastatic models.
KB-436 exhibits a half-life of approximately 5 days in mice, is produced at a high yield, and has shown high purity and stability. These characteristics, along with its strong in vivo anti-tumor activity, support the advancement of KB-436 into clinical development for the treatment of
advanced metastatic solid cancers, including SCLC.
The research was presented by Shugang Yao et al. at the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics in October 2021, with the abstract published in the Molecular Cancer Therapeutics journal.
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.
