# An integrated therapeutic T cell receptor screening platform for adoptive cell therapy in cancer

> **NIH NIH R33** · UNIVERSITY OF TEXAS AT AUSTIN · 2020 · $12,773

## Abstract

Abstract
Recent successes of T cell receptor based adoptive cell transfer therapy have generated new excitement about
this therapeutic approach. However, lacking a high-throughput method of screening of naturally occurring high-
affinity therapeutic T cell receptors (TCRs) has put a limit on how widely this approach can be applied to different
kinds of cancers and a large range of patients. In this study, we propose to develop an integrated platform that
on one hand drastically speeds up the identification and test of therapeutic TCRs and on the other hand, profiles
common cancer antigens and HLAs expressed in tumor sample at single cell level. We name it Magic-HAT for
Matching antigen identification in cancer with High-Affinity TCRs. The success of this project breaks the
bottleneck of identifying and testing naturally occurring therapeutic high-affinity TCRs in adoptive cell transfer
therapy setting for a large panel of cancer antigen epitopes. It enables a new capability on using combination of
TCRs in TCR-redirected T cells for adoptive cell transfer therapy in cancer.

## Key facts

- **NIH application ID:** 9678342
- **Project number:** 5R33CA225539-02
- **Recipient organization:** UNIVERSITY OF TEXAS AT AUSTIN
- **Principal Investigator:** Ning Jenny Jiang
- **Activity code:** R33 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $12,773
- **Award type:** 5
- **Project period:** 2018-04-04 → 2021-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9678342

## Citation

> US National Institutes of Health, RePORTER application 9678342, An integrated therapeutic T cell receptor screening platform for adoptive cell therapy in cancer (5R33CA225539-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9678342. Licensed CC0.

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