Identification of tumor antigens with immunopeptidomics.

Détails

ID Serval
serval:BIB_0938B9EC9DC3
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Identification of tumor antigens with immunopeptidomics.
Périodique
Nature biotechnology
Auteur⸱e⸱s
Chong C., Coukos G., Bassani-Sternberg M.
ISSN
1546-1696 (Electronic)
ISSN-L
1087-0156
Statut éditorial
Publié
Date de publication
02/2022
Peer-reviewed
Oui
Volume
40
Numéro
2
Pages
175-188
Langue
anglais
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Résumé
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.
Pubmed
Web of science
Création de la notice
19/10/2021 11:22
Dernière modification de la notice
15/07/2022 5:35
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