Immunogenic peptide discovery in cancer genomes Journal Article


Authors: Snyder, A.; Chan, T. A.
Article Title: Immunogenic peptide discovery in cancer genomes
Abstract: As immunotherapies to treat malignancy continue to diversify along with the tumor types amenable to treatment, it will become very important to predict which treatment is most likely to benefit a given patient. Tumor neoantigens, novel peptides resulting from somatic tumor mutations and recognized by the immune system as foreign, are likely to contribute significantly to the efficacy of immunotherapy. Multiple in silico methods have been developed to predict whether peptides, including tumor neoantigens, will be presented by the major histocompatibility complex (MHC) Class I or Class II, and interact with the T cell receptor (TCR). The methods for neoantigen prediction will be reviewed here, along with the most important examples of their use in the field of oncology.
Keywords: review; nonhuman; cd8+ t lymphocyte; protein interaction; antineoplastic activity; tumor antigen; prediction; cancer genetics; t lymphocyte receptor; antigen presentation; algorithm; major histocompatibility antigen class 2; antigen recognition; bioinformatics; computer program; tumor rejection; major histocompatibility antigen class 1; t lymphocyte antigen; next generation sequencing; human
Journal Title: Current Opinion in Genetics and Development
Volume: 30
ISSN: 0959-437X
Publisher: Elsevier Inc.  
Date Published: 2015-02-01
Start Page: 7
End Page: 16
Language: English
DOI: 10.1016/j.gde.2014.12.003
PROVIDER: scopus
PUBMED: 25588790
PMCID: PMC6657809
DOI/URL:
Notes: Export Date: 2 February 2015 -- Source: Scopus
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  1. Timothy Chan
    317 Chan