The study focuses on developing a new imaging agent for
neuroendocrine tumors, which often display multiple
somatostatin receptor (SST) subtypes. The compound ST8950, featuring two iodo-amino acids, shows strong binding to SST2 and
SST5, two of the receptor subtypes. Researchers have created a version of this compound, DOTA-ST8950, labeled with gallium-68 (^68Ga) for positron emission tomography (PET) imaging.
In vitro and in vivo experiments were conducted to compare the new ^68Ga-DOTA-ST8950 with other
SST-targeting agents, including a de-iodinated version, DOTA-ST8951, and two reference compounds, DOTA-TATE and DOTA-NOC. Results indicate that ^68Ga-DOTA-ST8950 has a higher affinity for SST2 and SST5 compared to ^natGa-DOTA-NOC. It also demonstrates similar potency in inducing SST2-mediated cAMP accumulation as ^natGa-DOTA-TATE and slightly better than ^natGa-DOTA-NOC.
Furthermore, ^67Ga-DOTA-ST8950 exhibits an internalization rate in SST2-expressing cells comparable to ^67Ga-DOTA-NOC. In animal models, ^
68Ga-DOTA-ST8950 shows high and specific accumulation in
tumors expressing SST2 and SST5, similar to ^68Ga-DOTA-NOC. The PET/CT images obtained from a dual tumor xenograft model highlight the ability of ^68Ga-DOTA-ST8950 to visualize both SST2 and SST5 expressing tumors with a high contrast to background tissues.
The study concludes that ^68Ga-DOTA-ST8950 is a promising candidate for PET imaging of SST2 and SST5 expressing tumors. It has comparable tumor uptake to the clinically used ^68Ga-DOTA-NOC, but the liver uptake poses a challenge for its clinical application. The iodo-substitutions at positions 1 and 3 in ^68Ga-DOTA-ST8950 are crucial for maintaining receptor affinity, as evidenced by the loss of affinity in the de-iodinated ^68Ga-DOTA-ST8951.
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.
