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Tools to Define the Melanoma-associated Immunopeptidome

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Journal Immunology
Date 2017 Jul 30
PMID 28755382
Citations 5
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Abstract

Immunotherapies have been traditionally applied in malignant melanoma, which represent one of the most immunogenic tumours. Recently, immune checkpoint modulation has shown high therapeutic efficacy and may provide long-term survival in a significant proportion of affected patients. T cells are the major players in tumour rejection and recognize tumour cells predominantly in an MHC-dependent way. The immunopeptidome comprises the peptide repertoire presented by MHC class I and II molecules on the surface of the body's cells including tumour cells. To understand characteristics of suitable rejection antigens as well as respective effective T-cell responses, determination of the immunopeptidome is of utmost importance. Suitable rejection antigens need to be further characterized and validated not only to systematically improve current therapeutic approaches, but also to develop individualized treatment options. In this review, we report on current tools to explore the immunopeptidome in human melanoma and discuss current understanding and future developments to specifically detect and select those antigens that may be most relevant and promising for effective tumour rejection.

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References
1.
Reeves E, James E . Antigen processing and immune regulation in the response to tumours. Immunology. 2016; 150(1):16-24. PMC: 5341504. DOI: 10.1111/imm.12675. View

2.
Sharon E, Sibener L, Battle A, Fraser H, Garcia K, Pritchard J . Genetic variation in MHC proteins is associated with T cell receptor expression biases. Nat Genet. 2016; 48(9):995-1002. PMC: 5010864. DOI: 10.1038/ng.3625. View

3.
Coulie P, Brichard V, Van Pel A, Wolfel T, Schneider J, Traversari C . A new gene coding for a differentiation antigen recognized by autologous cytolytic T lymphocytes on HLA-A2 melanomas. J Exp Med. 1994; 180(1):35-42. PMC: 2191574. DOI: 10.1084/jem.180.1.35. View

4.
Wang R, Wang X, ATWOOD A, Topalian S, Rosenberg S . Cloning genes encoding MHC class II-restricted antigens: mutated CDC27 as a tumor antigen. Science. 1999; 284(5418):1351-4. DOI: 10.1126/science.284.5418.1351. View

5.
Vetizou M, Pitt J, Daillere R, Lepage P, Waldschmitt N, Flament C . Anticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota. Science. 2015; 350(6264):1079-84. PMC: 4721659. DOI: 10.1126/science.aad1329. View