Targeting Tumor Growth: The Potential of CS2164 as a Multi-Target Inhibitor in Cancer Therapy

3 June 2024
A novel compound, CS2164, has been developed as a multi-targeted kinase inhibitor to address the limitations of current anti-cancer drugs, which include insufficient efficacy and drug resistance. This small molecule has been shown to effectively inhibit several key enzymes involved in tumor growth, including angiogenesis-related kinases such as VEGFR2, VEGFR1, VEGFR3, PDGFRα, and c-Kit, as well as mitosis-related kinase Aurora B and chronic inflammation-related kinase CSF-1R. The inhibitory concentrations (IC50) of CS2164 for these targets are in the low nanomolar range, indicating high potency.

The compound has demonstrated its anti-angiogenic properties by inhibiting VEGFR/PDGFR phosphorylation, suppressing cell proliferation, and preventing the formation of blood vessels in tumor tissues. Additionally, CS2164 induces cell cycle arrest at the G2/M phase and inhibits cell proliferation through the suppression of Aurora B-mediated H3 phosphorylation. It also affects the inflammatory process by inhibiting CSF-1R phosphorylation, leading to a reduction in monocyte-to-macrophage differentiation and a decrease in CSF-1R+ cells within tumors.

In vivo studies have shown that CS2164 can significantly reduce or completely halt tumor growth at well-tolerated oral doses in various human tumor xenograft models. These findings suggest that CS2164 is a highly selective and potent multi-kinase inhibitor with significant anti-tumor activity against tumor angiogenesis, mitosis, and chronic inflammation. This makes CS2164 a promising candidate for further clinical evaluation as a potential therapeutic agent for cancer treatment.

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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