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Low avidity T cells drive endogenous tumor immunity in mice and humans

GSE282069 Mus musculus Expression profiling by high throughput sequencing 9 samples Submitted 2024/12/25 Platform GPL24247
Summary
CD8 T cells which recognize neoepitopes are central to immune control of cancers. T cells, through T cell receptors, recognize neoepitope peptide-MHC I on cancer cells. The strength (or avidity) of the T cell receptor- peptide-MHCI interaction is a critical variable in immune control of cancers in vivo. Here, analyzing neoepitope-specific CD8 cells of distinct avidities to validated neoepitopes of a mouse tumor, low avidity T cells are observed to be the sole mediators of cancer control in vivo. Low avidity cells are also observed to be solely responsive to checkpoint blockade in mice and in humans. High avidity T cells are not only ineffective but suppress immune response. The mechanistic basis of the differences in the anti-tumor activity of cells of low and high avidities, lies in the higher exhaustion status of high avidity cells. High avidity T cells have a distinct transcriptomic profile which creates an Avidity Score, used here to identify in silico, the low and high avidity T cell populations in mice and humans. Surprisingly, CD8 T cells with identical TCRs exhibit a wide variation in avidities, suggesting a novel level of regulation of T cell activity. These observations, and the mechanisms that underlie them, shed new light on the endogenous T cell response to cancer and suggest new avenues in cancer immunotherapy.
Published in
Low-avidity T cells drive endogenous tumor immunity in mice and humans
Singhaviranon S, Dempsey JP, Hagymasi AT et al. · Nature immunology 2025 · PMID 39789375 · doi:10.1038/s41590-024-02044-z
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Direct links to NCBI, no account and no request form: the whole study as GSE282069_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1186819 and SRA study SRP545551. Searching any of these in the dataset finder brings you back here.

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