Identification of clinically relevant T cell receptors for personalized T cell therapy using combinatorial algorithms.

• Tác giả: Marion Arnaud, David Barras, Michal Bassani-Sternberg, Sara Bobisse, Charlotte Capt, Johanna Chiffelle, George Coukos, Denarda Dangaj Laniti, Claudio De Vito, Raphael Genolet, Alexandre Harari, Anne-Laure Huguenin-Bergenat, Lana E Kandalaft, S Intidhar Labidi-Galy, Maria Lozano-Rabella, Alexandra Michel, Jonathan S Moore, Giacomo Oliveira, Marta A S Perez, Rémy Pétremand, Damien Saugy, Christophe Sauvage, Julien Schmidt, Catherine J Wu, Vincent Zoete
• Ngôn ngữ: eng
• Ký hiệu phân loại: 599.314 *Myrmecophagidae
• Thông tin xuất bản: United States : Nature biotechnology , 2025
• Bộ sưu tập: NCBI
• ID: 719362

Tóm tắt

A central challenge in developing personalized cancer cell immunotherapy is the identification of tumor-reactive T cell receptors (TCRs). By exploiting the distinct transcriptomic profile of tumor-reactive T cells relative to bystander cells, we build and benchmark TRTpred, an antigen-agnostic in silico predictor of tumor-reactive TCRs. We integrate TRTpred with an avidity predictor to derive a combinatorial algorithm of clinically relevant TCRs for personalized T cell therapy and benchmark it in patient-derived xenografts.