Summary
T cells play a central role in anti-tumor immune protection. While their ability to target and eliminate emerging tumor cells is increasingly recognized, fully-established tumors can efficiently evade T cell response. Significant efforts spanning several decades of research have been made to develop T cell-based therapies manufactured from donor-derived T cells. The use of tumor-directed T cells engineered to express chimeric antigen receptors (CARs) represents, to date, one of the most successful applications for treatment of chemoresistant cancers. However, several major drawbacks, including economic factors, suboptimal functioning and life-threatening side effects, are still hindering the full potential of T cell-based therapies. To address this issue, we aim to generate Artificial T cells (ArTCell) that will mimic the anti-tumor function of a T cell-based therapy but in a safer, more efficient and less expensive product. ArTCells will incorporate two key features of activated T cells into Giant Unilamellar Vesicles (GUVs): the specificity of tumor cell recognition and the cytotoxic activity achieved through death ligands and cytolytic proteins. Functionalization of the GUVs will be confirmed by immunofluorescent labelling of membrane proteins (i.e., TRAIL, LFA-1 and CAR) and detection with flow cytometry. The morphology of ArTCell will be monitored via cryo-EM, SEM, and confocal microscopy. The ability of ArTCell to target and kill tumour cells will be thoroughly validated in vitro by a combination of functional and high resolution live imaging assays as well as in vivo with two cell line- and patient-xenografts mouse models. The ArTCell could allow to circumvent many of the current technological limitations that hinder a more wide-spread applicability of cell-based therapies, without being subject to tumor-mediated inactivation
Unfold all
/
Fold all
More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101130715 |
| Start date: | 01-02-2024 |
| End date: | 31-01-2029 |
| Total budget - Public funding: | 3 391 796,25 Euro - 3 391 796,00 Euro |
Cordis data
Original description
T cells play a central role in anti-tumor immune protection. While their ability to target and eliminate emerging tumor cells is increasingly recognized, fully-established tumors can efficiently evade T cell response. Significant efforts spanning several decades of research have been made to develop T cell-based therapies manufactured from donor-derived T cells. The use of tumor-directed T cells engineered to express chimeric antigen receptors (CARs) represents, to date, one of the most successful applications for treatment of chemoresistant cancers. However, several major drawbacks, including economic factors, suboptimal functioning and life-threatening side effects, are still hindering the full potential of T cell-based therapies. To address this issue, we aim to generate Artificial T cells (ArTCell) that will mimic the anti-tumor function of a T cell-based therapy but in a safer, more efficient and less expensive product. ArTCells will incorporate two key features of activated T cells into Giant Unilamellar Vesicles (GUVs): the specificity of tumor cell recognition and the cytotoxic activity achieved through death ligands and cytolytic proteins. Functionalization of the GUVs will be confirmed by immunofluorescent labelling of membrane proteins (i.e., TRAIL, LFA-1 and CAR) and detection with flow cytometry. The morphology of ArTCell will be monitored via cryo-EM, SEM, and confocal microscopy. The ability of ArTCell to target and kill tumour cells will be thoroughly validated in vitro by a combination of functional and high resolution live imaging assays as well as in vivo with two cell line- and patient-xenografts mouse models. The ArTCell could allow to circumvent many of the current technological limitations that hinder a more wide-spread applicability of cell-based therapies, without being subject to tumor-mediated inactivationStatus
SIGNEDCall topic
HORIZON-EIC-2023-PATHFINDEROPEN-01-01Update Date
12-03-2024
Images
No images available.
Geographical location(s)
Structured mapping
