The abstract discusses the development and evaluation of a new drug,
BLU-667, which targets
RET fusions and mutations prevalent in various
cancer types. Initially identified in
papillary thyroid cancer, RET fusions have been found in
non-small cell lung adenocarcinoma and
colorectal carcinoma. Activating mutations in RET are linked to
multiple endocrine neoplasia and are common in
medullary thyroid cancer. While multikinase inhibitors like
cabozantinib and
vandetanib are used to treat RET-altered tumors, their side effects can limit their effectiveness.
BLU-667 is designed to be a next-generation inhibitor that specifically targets activated forms of RET, showing high potency against both wild-type and mutant RET with a high degree of selectivity over other kinases like
VEGFR-2. The drug was found to effectively inhibit RET autophosphorylation and cell proliferation in various cancer cell lines. In animal models, BLU-667 was well tolerated and showed dose-dependent inhibition of oncogenic RET kinase activity, including in models resistant to other inhibitors.
Importantly, BLU-667 was able to inhibit tumor growth without affecting VEGFR-2, indicating that selective RET inhibition is sufficient for antitumor activity. The drug's ability to spare off-target kinases suggests that it can inhibit RET at clinically achievable doses with fewer toxicities. BLU-667 also retains activity against mutations that confer resistance to other kinase inhibitors, which could prevent or delay the emergence of resistant cancer clones.
The drug is currently in a phase 1 clinical trial for patients with RET-driven solid tumors, offering a promising new treatment option for those with RET-altered cancers. The study was presented at the AACR-NCI-EORTC International Conference and published in the journal Molecular Cancer Therapeutics.
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.
