Enhancing Cancer Immunotherapy: The CAB CTLA4 Antibody Approach to Mitigate Immune-Related Adverse Events

3 June 2024
CTLA4, a T-cell receptor, can be targeted to enhance immune responses against cancer. However, the use of anti-CTLA4 therapies, such as ipilimumab, has been associated with significant toxicities due to systemic immune activation. The Conditionally Active Biologics (CAB) technology addresses this by developing antibodies that bind to target antigens in diseased tissues, like cancer, but not in normal tissues, capitalizing on the unique cancer microenvironment.

The CAB-CTLA4 antibodies identified through this technology have shown to selectively enhance T-cell responses in the tumor microenvironment without affecting normal tissues. In a syngeneic human CTLA4 knock-in mouse model, CAB-CTLA4 demonstrated comparable antitumor efficacy to ipilimumab, including tumor regression in a MC38 colorectal tumor model. Unlike ipilimumab, CAB-CTLA4 antibodies did not increase CD4 effector T cells in peripheral blood, suggesting a reduced risk of systemic immune toxicities.

In a study involving monkeys, the combination of ipilimumab and an anti-PD-1 analog led to increased T cell proliferation markers in peripheral blood and gastrointestinal symptoms, while CAB-CTLA4 combined with the anti-PD-1 analog maintained normal immunophenotypic patterns and showed no gastrointestinal issues. This indicates that CAB-CTLA4 may offer a superior safety profile when combined with PD-1 inhibitors, potentially allowing for increased dosing to achieve better efficacy than current anti-CTLA4 therapies, both as a single agent and in combination with other cancer treatments.

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.

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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.

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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.

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

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