| Literature DB >> 35113651 |
Frank J Lowery1, Sri Krishna1, Rami Yossef1, Neilesh B Parikh1, Praveen D Chatani1, Nikolaos Zacharakis1, Maria R Parkhurst1, Noam Levin1, Sivasish Sindiri1, Abraham Sachs1, Kyle J Hitscherich1, Zhiya Yu1, Nolan R Vale1, Yong-Chen Lu1, Zhili Zheng1, Li Jia2, Jared J Gartner1, Victoria K Hill1, Amy R Copeland1, Shirley K Nah1, Robert V Masi1, Billel Gasmi1, Scott Kivitz1, Biman C Paria1, Maria Florentin1, Sanghyun P Kim1, Ken-Ichi Hanada1, Yong F Li1, Lien T Ngo1, Satyajit Ray1, Mackenzie L Shindorf1, Shoshana T Levi1, Ryan Shepherd3, Chris Toy1, Anup Y Parikh1, Todd D Prickett1, Michael C Kelly4, Rachel Beyer1, Stephanie L Goff1, James C Yang1, Paul F Robbins1, Steven A Rosenberg1.
Abstract
The accurate identification of antitumor T cell receptors (TCRs) represents a major challenge for the engineering of cell-based cancer immunotherapies. By mapping 55 neoantigen-specific TCR clonotypes (NeoTCRs) from 10 metastatic human tumors to their single-cell transcriptomes, we identified signatures of CD8+ and CD4+ neoantigen-reactive tumor-infiltrating lymphocytes (TILs). Neoantigen-specific TILs exhibited tumor-specific expansion with dysfunctional phenotypes, distinct from blood-emigrant bystanders and regulatory TILs. Prospective prediction and testing of 73 NeoTCR signature-derived clonotypes demonstrated that half of the tested TCRs recognized tumor antigens or autologous tumors. NeoTCR signatures identified TCRs that target driver neoantigens and nonmutated viral or tumor-associated antigens, suggesting a common metastatic TIL exhaustion program. NeoTCR signatures delineate the landscape of TILs across metastatic tumors, enabling successful TCR prediction based purely on TIL transcriptomic states for use in cancer immunotherapy.Entities:
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Year: 2022 PMID: 35113651 PMCID: PMC8996692 DOI: 10.1126/science.abl5447
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728