Immune-checkpoint therapies have shown significant clinical success, with approvals across various
cancer types. However, they face challenges in eliciting lasting responses in some
solid tumors. The complexity of immunosuppressive mechanisms in the tumor microenvironment (TME) is a key factor hindering progress. CAR-T cell therapies have been notably effective in
blood cancers but have not yet achieved similar success in solid tumors due to the suppressive TME.
In our research, we utilized tissue cytometry to analyze 30 markers across different TME components from patients with solid tumors expressing the antigen
GD2. This comprehensive approach aimed to understand the interactions between tumor cells, T cells, dendritic cells, macrophages, MDSCs, CAFs, and endothelial cells within the TME. Machine learning was employed to uncover potential therapeutic targets within the TME of these tumors.
We developed CAR-T cells targeting GD2, an antigen found in multiple solid tumor types, and enhanced their functionality with a CCR module for improved persistence, a dnTGFβ to counteract
TGFβ inhibitory signals, and other modules to boost their activity. These multi-module CAR-T cells exhibited robust in vitro anti-tumor activity and enhanced tumor infiltration and efficacy in vivo in mouse models.
Our study indicates that CAR-T cell therapies targeting GD2 offer a promising new strategy for treating a range of solid tumors. The findings were presented by Margarida Neves et al. at the American Association for Cancer Research Annual Meeting in 2020.
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.
