Characterization of neoantigen-specific T cells in cancer resistant to immune checkpoint therapies

Shamin Li, Yannick Simoni, Summer Zhuang, Austin Gabel, Shaokang Ma, Jonathan Chee, Laura Islas, Anthony Cessna, Jenette Creaney, Robert K. Bradley, Alec Redwood, Bruce W. Robinson, Evan W. Newell

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)

Abstract

Neoantigen-specific T cells are strongly implicated as being critical for effective immune checkpoint blockade treatment (ICB) (e.g., anti–PD-1 and anti–CTLA-4) and are being targeted for vaccination-based therapies. However, ICB treatments show uneven responses between patients, and neoantigen vaccination efficiency has yet to be established. Here, we characterize neoantigen-specific CD8+ T cells in a tumor that is resistant to ICB and neoantigen vaccination. Leveraging the use of mass cytometry combined with multiplex major histocompatibility complex (MHC) class I tetramer staining, we screened and identified tumor neoantigen–specific CD8+ T cells in the Lewis Lung carcinoma (LLC) tumor model (mRiok1). We observed an expansion of mRiok1-specific CD8+ tumor-infiltrating lymphocytes (TILs) after ICB targeting PD-1 or CTLA-4 with no sign of tumor regression. The expanded neoantigen-specific CD8+ TILs remained phenotypically and functionally exhausted but displayed cytotoxic characteristics. When combining both ICB treatments, mRiok1-specific CD8+ TILs showed a stem-like phenotype and a higher capacity to produce cytokines, but tumors did not show signs of regression. Furthermore, combining both ICB treatments with neoantigen vaccination did not induce tumor regression either despite neoantigen-specific CD8+ TIL expansion. Overall, this work provides a model for studying neoantigens in an immunotherapy nonresponder model. We showed that a robust neoantigen-specific T-cell response in the LLC tumor model could fail in tumor response to ICB, which will have important implications in designing future immunotherapeutic strategies.

Original languageEnglish
Article numbere2025570118
JournalProceedings of the National Academy of Sciences of the United States of America
Volume118
Issue number30
DOIs
Publication statusPublished - 27 Jul 2021

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