Characterizing neoantigens for personalized cancer immunotherapy

Highlights • Mutations (neoantigens) are driving protective anti-tumor T cell immunity. • Neoantigens are promising targets for cancer immunotherapy including vaccines. • A small fraction of mutations are immunogenic, their identification requires bioinformatics methods. • Further characterization o...

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Bibliographic Details
Published in:Current opinion in immunology 2017-06, Vol.46, p.58-65
Main Authors: Capietto, Aude-Hélène, Jhunjhunwala, Suchit, Delamarre, Lélia
Format: Article
Language:English
Subjects:
Algorithms
Allergy and Immunology
Antigen Presentation - immunology
Antigens, Neoplasm - genetics
Antigens, Neoplasm - immunology
Clonal Evolution - genetics
Endoplasmic Reticulum - metabolism
Epitopes - chemistry
Epitopes - immunology
Histocompatibility Antigens Class I - immunology
Histocompatibility Antigens Class I - metabolism
Humans
Immunotherapy - methods
Mutation
Neoplasms - genetics
Neoplasms - immunology
Neoplasms - metabolism
Neoplasms - therapy
Peptides - chemistry
Peptides - immunology
Precision Medicine - methods
Protein Binding - immunology
Protein Transport
Receptors, Antigen, T-Cell - metabolism
T-Lymphocyte Subsets - immunology
T-Lymphocyte Subsets - metabolism
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Summary:Highlights • Mutations (neoantigens) are driving protective anti-tumor T cell immunity. • Neoantigens are promising targets for cancer immunotherapy including vaccines. • A small fraction of mutations are immunogenic, their identification requires bioinformatics methods. • Further characterization of neoantigens is needed to improve prediction algorithms.
ISSN:0952-7915
1879-0372
DOI:10.1016/j.coi.2017.04.007