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Abstract

The identification of actionable tumor antigens is indispensable for the development of several cancer immunotherapies, including T cell receptor–transduced T cells and patient-specific mRNA or peptide vaccines. Most known tumor antigens have been identified through extensive molecular characterization and are considered canonical if they derive from protein-coding regions of the genome. By eluting human leukocyte antigen-bound peptides from tumors and subjecting these to mass spectrometry analysis, the peptides can be identified by matching the resulting spectra against reference databases. Recently, mass-spectrometry-based immunopeptidomics has enabled the discovery of noncanonical antigens—antigens derived from sequences outside protein-coding regions or generated by noncanonical antigen-processing mechanisms. Coupled with transcriptomics and ribosome profiling, this method enables the identification of thousands of noncanonical peptides, of which a substantial fraction may be detected exclusively in tumors. Spectral matching against the immense noncanonical reference may generate false positives. However, sensitive mass spectrometry, analytical validation and advanced bioinformatics solutions are expected to uncover the full landscape of presented antigens and clinically relevant targets.

Chong et al. review how the integration of mass spectrometry with proteogenomic approaches can identify noncanonical antigens.

Details

Title
Identification of tumor antigens with immunopeptidomics
Author
Chong, Chloe 1 ; Coukos, George 1   VIAFID ORCID Logo  ; Bassani-Sternberg, Michal 1   VIAFID ORCID Logo 

 University of Lausanne, Ludwig Institute for Cancer Research, Lausanne Branch, Lausanne, Switzerland (GRID:grid.9851.5) (ISNI:0000 0001 2165 4204); Department of Oncology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland (GRID:grid.8515.9) (ISNI:0000 0001 0423 4662) 
Pages
175-188
Publication year
2022
Publication date
Feb 2022
Publisher
Nature Publishing Group
ISSN
10870156
e-ISSN
15461696
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2628410611
Copyright
© Springer Nature America, Inc. 2021.