Immunotherapy using bioengineered T cells, particularly chimeric antigen receptor T (CAR-T) cells, has shown success in treating blood cancers but faces challenges in solid tumors like breast, lung, and prostate cancers. A research team led by Patrick Barth at EPFL and Caroline Arber at UNIL-CHUV, has addressed these challenges by developing a computational platform to design synthetic protein receptors. Aiming to overcome the suppressive tumor microenvironment (TME), the team engineered receptors called T-SenSERs (tumor microenvironment-sensing switch receptors) that detect tumor-associated soluble signals and convert them into signals enhancing T cell activity when combined with conventional CAR-T cells.

The study, published in Nature Biomedical Engineering, describes how these modular receptors are assembled by combining distinct protein domains, including an external binding domain targeting tumor signals, a transmembrane region transmitting signals into the cell, and an internal domain that activates useful T cell functions. Barth notes, “What sets this approach apart from current protein design approaches is that it doesn’t treat proteins as rigid structures. Instead, it models them as dynamic, shape-shifting machines—allowing researchers to see, for the first time, how signals travel through these synthetic receptors to control cell behavior.”

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Utilizing this platform, the team developed two receptor families responding to VEGF, a tumor-associated protein promoting blood vessel growth, and CSF1, which modulates immune cell behavior in tumors. Testing revealed that T cells bearing both CAR and T-SenSER receptors exhibited stronger and ligand-specific responses to tumors compared to CAR-T cells alone. The VEGF-sensing receptor (VMR) became active only in the presence of VEGF, while the CSF1-sensing receptor (CMR) provided a baseline activation enhanced by CSF1 presence. In mouse models of lung cancer and multiple myeloma, these engineered T cells demonstrated improved tumor control and longer survival.

Importantly, the approach allows tuning receptor behavior from always-on to strictly ligand-dependent or intermediate activation modes. Barth states, “This study represents the first demonstration of the computational design of single-pass, multi-domain receptors with programmable signaling functions and paves the way for the accelerated development of synthetic biosensors with custom-built sensing and response capabilities for basic and translational cell engineering applications.”