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Active NON-SBIR/STTR RPGS NIH (US)

Microfluidic technology to isolate tumoricidal T-cells from peripheral blood

$2.17M USD

Funder NATIONAL CANCER INSTITUTE
Recipient Organization University of California At Davis
Country United States
Start Date Aug 01, 2023
End Date Jul 31, 2026
Duration 1,095 days
Number of Grantees 1
Roles Principal Investigator
Data Source NIH (US)
Grant ID 10613173
Grant Description

PROJECT SUMMARY Adoptive cell transfer (ACT) using ex vivo expanded anti-tumor T-cells has garnered significant interest due to successes in treating melanoma and other cancers. This is a highly personalized therapy, in which autologous T-cells that can target the tumors are required. However, finding cells that specifically target tumors remains a

major hurdle for the widespread application of T-cell based ACT therapies. The current methods of lymphocyte enrichment result in modest increases in tumoricidal T-cells with little control over the clonal heterogeneity. A technology that overcomes these challenges would significantly lower the barriers (e.g., reduce cost, reduce

off-target effects) for broad dissemination of ACT therapies. The primary goal of this project is to develop a separation technology to enrich a population of lymphocytes with tumoricidal T-cells based on their capacity to recognize autologous tumor antigens. The premise of our microfluidic technology is that tumoricidal T-cells can

be separated from a bulk leukocyte population when exposed to tumor-derived peptide-major histocompatibility complex I under optimal flow conditions. The specific aims are to: 1) Develop a microfluidic device to enrich a population of lymphocytes with antigen specific T-cells, and 2) Demonstrate the capacity of the microfluidic

platform to enrich patient-derived Peripheral Blood Mononuclear Cells with tumoricidal T-cells using patient- matched tumor cells. Accomplishing our primary goal will create a potentially disruptive technology that could pave way for wide-spread application of T-cell based ACT therapies, and the agnostic feature (i.e., no a priori

knowledge of tumor antigen(s) is required) of the technology would make it broadly applicable for a personalized medicine approach to a range of cancers.

All Grantees

University of California At Davis

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