title: Current methods of epitope identification for cancer vaccine design.
abstract: The importance of the immune system in tumor development and progression has been emerging in many cancers. Previous cancer vaccines have not shown long-term clinical benefit possibly because were not designed to avoid eliciting regulatory T-cell responses that inhibit the anti-tumor immune response. This review will examine different methods of identifying epitopes derived from tumor associated antigens suitable for immunization and the steps used to design and validate peptide epitopes to improve efficacy of anti-tumor peptide-based vaccines. Focusing on in silico prediction algorithms, we survey the advantages and disadvantages of current cancer vaccine prediction tools.
authors.affiliation: Tumor Vaccine Group, Center for Translational Medicine in Women's Health, University of Washington, 850 Republican Street, Seattle, WA 98109, United States. Electronic address: gcherryh@medicine.washington.edu.
authors.forename: Gregory A
authors.initials: GA
authors.lastname: Cherryholmes
authors.affiliation: Tumor Vaccine Group, Center for Translational Medicine in Women's Health, University of Washington, 850 Republican Street, Seattle, WA 98109, United States. Electronic address: sestant2@medicine.washington.edu.
authors.forename: Sasha E
authors.initials: SE
authors.lastname: Stanton
authors.affiliation: Tumor Vaccine Group, Center for Translational Medicine in Women's Health, University of Washington, 850 Republican Street, Seattle, WA 98109, United States. Electronic address: ndisis@medicine.washington.edu.
authors.forename: Mary L
authors.initials: ML
authors.lastname: Disis
mesh_terms: D019496:Cancer Vaccines / Q000276:immunology* / Q000302:isolation & purification*; D019295:Computational Biology / Q000379:methods*; D055808:Drug Discovery / Q000379:methods*; D018604:Epitope Mapping / Q000379:methods*; D000939:Epitopes / Q000276:immunology*; D006801:Humans
chemical_list: D019496:Cancer Vaccines; D000939:Epitopes
keywords: Epitope detection; In silico prediction; Peptide; Self-protein; Sequence-based prediction; Structure-based prediction; Vaccine