Functional screening of TCR-like antibodies using STAR-T cell library for cancer immunotherapy

Abstract Adoptive T-cell therapies engineered with T-cell receptors (TCRs) or TCR-like antibodies have shown considerable promise in cancer immunotherapy. However, identifying tumor antigen-specific TCR-like antibodies, particularly against human leukocyte antigen-presented neoantigens, remains challenging. Here, we present a function-based, rather than affinity-based, antibody screening platform utilizing Synthetic T-cell receptor and Antigen Receptor (STAR)-T cell libraries. We found that antigen engagement in STAR-T cells triggers synchronous receptor endocytosis and T-cell activation, and we integrated these paired processes into an Endocytosis-Activation (E-A) functional readout for antibody screening. Applying E-A functional screening, we rapidly identified multiple nanobodies targeting the cell-surface antigen CD22 as well as the intracellular neoantigen P53 R175H . STAR-T cells engineered with these nanobodies mediated potent anti-tumor efficacy both in vitro and in vivo. Furthermore, this platform yielded nanobodies that can be directly reformatted into other therapeutic modalities, including chimeric antigen receptors and bispecific antibodies, while maintaining cytotoxic function. Overall, the E-A screening platform links antibody discovery directly to T-cell function, providing a robust approach for identifying therapeutic antibodies, especially neoantigen-specific nanobodies, for T cell-based cancer immunotherapy.

Authors

Institutions

Publication Details

Journal
EMBO Molecular Medicine
Published
2026-06-08
DOI
https://doi.org/10.1038/s44321-026-00455-z
Primary Topic
CAR-T cell therapy research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Functional screening of TCR-like antibodies using STAR-T cell library for cancer immunotherapy

Ce Wang, Daosheng Huang, Zhixiao Zhou, Y B Fu et al.
EMBO Molecular Medicine
CAR-T cell therapy research
article

Functional screening of TCR-like antibodies using STAR-T cell library for cancer immunotherapy

Ce Wang, Daosheng Huang, Zhixiao Zhou, Y B Fu, Zheyu Zheng, Zaopeng Yang, Chang Liu, Xin Lin, Yi Li, Yilu Song, Dongmei Yang, Wei Rui, Jiasheng Wang, Yu Li
article en

Abstract

Abstract Adoptive T-cell therapies engineered with T-cell receptors (TCRs) or TCR-like antibodies have shown considerable promise in cancer immunotherapy. However, identifying tumor antigen-specific TCR-like antibodies, particularly against human leukocyte antigen-presented neoantigens, remains challenging. Here, we present a function-based, rather than affinity-based, antibody screening platform utilizing Synthetic T-cell receptor and Antigen Receptor (STAR)-T cell libraries. We found that antigen engagement in STAR-T cells triggers synchronous receptor endocytosis and T-cell activation, and we integrated these paired processes into an Endocytosis-Activation (E-A) functional readout for antibody screening. Applying E-A functional screening, we rapidly identified multiple nanobodies targeting the cell-surface antigen CD22 as well as the intracellular neoantigen P53 R175H . STAR-T cells engineered with these nanobodies mediated potent anti-tumor efficacy both in vitro and in vivo. Furthermore, this platform yielded nanobodies that can be directly reformatted into other therapeutic modalities, including chimeric antigen receptors and bispecific antibodies, while maintaining cytotoxic function. Overall, the E-A screening platform links antibody discovery directly to T-cell function, providing a robust approach for identifying therapeutic antibodies, especially neoantigen-specific nanobodies, for T cell-based cancer immunotherapy.

EMBO Molecular Medicine
King Center (US), Beijing National Laboratory for Molecular Sciences (CN), Beijing Tsinghua Chang Gung Hospital (CN), Center for Life Sciences (CN), Tsinghua University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 7%
CAR-T cell therapy research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.