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Checkpoint Blockade Cancer Immunotherapy Targets Tumor-Specific Mutant Antigens

GSE62771 Mus musculus Expression profiling by high throughput sequencing 22 samples Submitted 2014/11/07 Platform GPL17021
Summary
Cytotoxic T-lymphocyte associated antigen-4 (CTLA-4) and Programmed death-1 (PD-1) are immunoregulatory receptors expressed on T cells that play important roles in suppressing immune responses to cancer. Although monoclonal antibodies that target CTLA-4 or PD-1 stimulate therapeutic anti-tumour T cell responses, the tumour antigens recognized by checkpoint blockade immunotherapy remain undefined. Herein, we use genomics and bioinformatics approaches to identify tumour-specific mutant proteins as a major class of T cell rejection antigens following αPD-1 and/or αCTLA-4 treatment of mice bearing progressively growing sarcomas. We validate this conclusion by showing that (a) the predicted mutant epitopes associate with MHC class I molecules of the tumour; (b) T cells specific for these mutant epitopes infiltrate tumours; and (c) therapeutic vaccines incorporating these mutant epitopes induce tumour rejection comparably to checkpoint blockade immunotherapy. Whereas, T cells with the same antigen specificity are present in progressively growing tumours in control mice, tumour-specific T cells in αPD-1- and/or αCTLA-4-treated mice express some overlapping but mostly treatment-specific transcriptional profiles that render them capable of tumour rejection. Thus, tumour-specific mutant antigens are not only important targets of checkpoint blockade therapy but also can be used to identify tumour antigen-specific T cells that function as biomarkers of successful anti-tumour responses.
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Direct links to NCBI, no account and no request form: the whole study as GSE62771_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 22 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA265091 and SRA study SRP049335. Searching any of these in the dataset finder brings you back here.

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