Discriminatory Power of Combinatorial Antigen Recognition in Cancer T Cell Therapies.

TitleDiscriminatory Power of Combinatorial Antigen Recognition in Cancer T Cell Therapies.
Publication TypeJournal Article
Year of Publication2020
AuthorsDannenfelser, R, Allen, GM, VanderSluis, B, Koegel, AK, Levinson, S, Stark, SR, Yao, V, Tadych, A, Troyanskaya, OG, Lim, WA
JournalCell Syst
Date Published2020 09 23

<p>Precise discrimination of tumor from normal tissues remains a major roadblock for therapeutic efficacy of chimeric antigen receptor (CAR) T cells. Here, we perform a comprehensive in silico screen to identify multi-antigen signatures that improve tumor discrimination by CAR T cells engineered to integrate multiple antigen inputs via Boolean logic, e.g., AND and NOT. We screen >2.5 million dual antigens and ∼60 million triple antigens across 33 tumor types and 34 normal tissues. We find that dual antigens significantly outperform the best single clinically investigated CAR targets and confirm key predictions experimentally. Further, we identify antigen triplets that are predicted to show close to ideal tumor-versus-normal tissue discrimination for several tumor types. This work demonstrates the potential of 2- to 3-antigen Boolean logic gates for improving tumor discrimination by CAR T cell therapies. Our predictions are available on an interactive web server resource (antigen.princeton.edu).</p>

Alternate JournalCell Syst
PubMed ID32916097
PubMed Central IDPMC7814417
Grant ListR01 CA196277 / CA / NCI NIH HHS / United States
R01 GM071966 / GM / NIGMS NIH HHS / United States
T32 HG003284 / HG / NHGRI NIH HHS / United States
U54 CA244438 / CA / NCI NIH HHS / United States
/ HHMI / Howard Hughes Medical Institute / United States