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Development of a T-cell receptor multimer with high avidity for detecting a naturally presented tumor-associated antigen on osteosarcoma cells.

ABSTRACT: For efficacy of peptide vaccination immunotherapy for patients with cancer, endogenous expression of the target peptide/human leukocyte antigen (HLA) on cancer cells is required. However, it is difficult to evaluate the expression status of a peptide/HLA complex because of the lack of a soluble T-cell receptor (TCR) that reacts with tumor-associated antigen (TAA) with high avidity. In the present study, we developed two soluble TCR-multimers that were each directed to TAA, survivin-2B (SVN-2B) and PBF in the context of HLA-A24 (SVN-2B TCR-multimer and PBF TCR-multimer, respectively), from CTL clones that were established from peptide-vaccinated patients. Both TCR multimers could recognize cognate peptide-pulsed antigen-presenting cells, C1R-A24 cells, in a CD8-independent method. Moreover, the PBF TCR-multimer successfully recognized a PBF peptide naturally presented on HLA-A24⁺ PBF⁺ osteosarcoma cells. Taken together, the results indicated that a TCR-multimer might be useful for detection of a TAA-derived peptide presented by HLA in patients receiving immunotherapy.

SUBMITTER: Watanabe K

PROVIDER: S-EPMC6317924 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Recent clinical developments in antitumor immunotherapy involving T-cell related therapeutics have led to a renewed interest for human leukocyte antigen class I (HLA-I) binding peptides, given their potential use as peptide vaccines. Databases of HLA-I binding peptides hold therefore information on therapeutic targets essential for understanding immunity. In this work, we use in depth and accurate HLA-I peptidomics datasets determined by mass-spectrometry (MS) and analyze properties of the HLA-I binding peptides with structure-based computational approaches. HLA-I binding peptides are studied grouping all alleles together or in allotype-specific contexts. We capitalize on the increasing number of structurally determined proteins to (1) map the 3D structure of HLA-I binding peptides into the source proteins for analyzing their secondary structure and solvent accessibility in the protein context, and (2) search for potential differences between these properties in HLA-I binding peptides and in a reference dataset of HLA-I motif-like peptides. This is performed by an in-house developed heuristic search that considers peptides across all the human proteome and converges to a collection of peptides that exhibit exactly the same motif as the HLA-I peptides. Our results, based on 9-mers matched to protein 3D structures, clearly show enriched sampling for HLA-I presentation of helical fragments in the source proteins. This enrichment is significant, as compared to 9-mer HLA-I motif-like peptides, and is not entirely explained by the helical propensity of the preferred residues in the HLA-I motifs. We give possible hypothesis for the secondary structure biases observed in HLA-I peptides. This contribution is of potential interest for researchers working in the field of antigen presentation and proteolysis. This knowledge refines the understanding of the rules governing antigen presentation and could be added to the parameters of the current peptide-MHC class I binding predictors to increase their antigen predictive ability.

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Development of a T-cell receptor multimer with high avidity for detecting a naturally presented tumor-associated antigen on osteosarcoma cells.

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