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Neoantigen-specific T cell receptors (neoTCRs) promise a safe, highly personalized therapeutic approach in anti-tumor immunotherapy. Substantial progress has been made regarding their identification whereas detailed functional assessment of single TCR characteristics impacting therapeutic efficacy is lacking.We previously identified and functionally characterized neoTCRs specific for neoepitopes derived from KIF2C and SYTL4 demonstrating differences in functional avidity in a patient with metastatic melanoma. In this work, we now combined single-cell TCR- and RNA-sequencing using stimulated peripheral blood derived CD8+T cells of this patient and thereby identified two new neoTCRs recognizing the previously identified mutated epitope KIF2CP13L. Analyzing patient-derived neoTCR expressing T cells, we detected distinct activation patterns as a measure for substantial heterogeneity within oligoclonal T cell responses towards neoantigens upon specific ex vivo-restimulation. Moreover, neoTCR-transgenic T cells from healthy donors were employed for detailed in vitro and in vivo fine-characterization focusing on TCR-intrinsic functional patterns. Most importantly, in a xenogeneic mouse model experimentally simulating rechallenge of tumor infiltrating lymphocytes (TILs) after adoptive T cell transfer, we found that T cells expressing neoTCRs with a moderate activation profile provide a stable and more sustained anti-tumor response upon repeated in vivo tumor challenge as compared to neoTCRs with a stronger, burst-like reactivity. These insights have significant implications for engineering TCR-transgenic T cells for therapeutic purposes.One Sentence SummaryCombining TCR specificity linked single-cell transcriptomics with in vitro and in vivo characterization of transgenic T cells helps to decipher functional potential and persistence of neoantigen-specific T cell receptors (TCRs) for TCR-transgenic T cell-based adoptive cellular anti-tumor immunotherapy.

Systemic pan-tumor analyses may reveal the significance of common features implicated in cancer immunogenicity and patient survival. Here, we provide a comprehensive multi-omics data set for 32 patients across 25 tumor types by combining proteogenomics with phenotypic and functional analyses. By using an optimized computational approach, we discovered a large number of novel tumor-specific and tumor-associated antigens including shared common target candidates. To create a pipeline for the identification of neoantigens in our cohort, we combined deep DNA and RNA sequencing with MS- based immunopeptidomics of tumor specimens, followed by the assessment of their immunogenicity. In fact, we could detect a broad variety of non-wild type HLA-binding peptides in the majority of patients and confirmed the immunogenicity of 24 neoantigens. Most interestingly, the majority of total and immunogenic neoantigens originated from variants identified in the RNA dataset, illustrating the importance of RNA as a still understudied source of cancer antigens. Moreover, the amount of these mainly RNA-based immunogenic neoantigens correlated positively with overall CD8+ tumor-infiltrating T cells. This study therefore underlines the importance of RNA-centered variant detection for the identification of shared biomarkers and potentially relevant neoantigen candidates.Statement of significanceThe significance of this study lies not only in the potential of our optimized proteogenomic workflow for the discovery of neoantigens (in particular RNA-derived neoantigens) for clinical application, but sheds light on the entity-agnostic prevalence of HLA class I peptide presentation of RNA processing events to be used for tumor targeting.