Foldvari et al. developed a pipeline to map TCR reactivity to the complete proteome to evaluate TCR candidates for clinical translation. The in vitro pipeline first assessed TCR "fingerprints" of 1G4 (NY-ESO-1) and A23 (CD20) to search for potentially cross-reactive peptides in the human proteome, and validated physiologically relevant candidate cross-reactive peptides in silico and in cell lines. Mapping the alloreactivity profiles of 1G4 and A23 TCRs revealed cross-recognition of unintended HLA alleles within the HLA-A02 supertype. The A23 TCR rejected established tumors in an HLA-A2-transgenic mouse tumor model, persisted in treated animals, and showed no off-target reactivity.
Contributed by Shishir Pant
ABSTRACT: Cancer immunotherapy using T cell receptor-engineered T cells (TCR-Ts) represents a promising treatment option. However, technologies for pre-clinical safety assessment are incomplete or inaccessible to most laboratories. Here, TCR-T off-target reactivity was assessed in five steps: (1) Mapping target amino acids necessary for TCR-T recognition, followed by (2) a computational search for, and (3) reactivity screening against, candidate cross-reactive peptides in the human proteome. Natural processing and presentation of recognized peptides was evaluated using (4) short mRNAs, and (5) full-length proteins. TCR-Ts were screened for recognition of unintended HLA alleles, and as proxy for off-target reactivity in vivo, a syngeneic, HLA-A*02:01-transgenic mouse model was used. Validation demonstrated importance of studying recognition of full-length candidate off-targets, and that the clinically applied 1G4 TCR has a hitherto unknown reactivity to unintended HLA alleles, relevant for patient selection. This widely applicable strategy should facilitate evaluation of candidate therapeutic TCRs and inform clinical decision-making.