title: Applications of Immunogenomics to Cancer.
abstract: Cancer immunogenomics originally was framed by research supporting the hypothesis that cancer mutations generated novel peptides seen as "non-self" by the immune system. The search for these "neoantigens" has been facilitated by the combination of new sequencing technologies, specialized computational analyses, and HLA binding predictions that evaluate somatic alterations in a cancer genome and interpret their ability to produce an immune-stimulatory peptide. The resulting information can characterize a tumor's neoantigen load, its cadre of infiltrating immune cell types, the T or B cell receptor repertoire, and direct the design of a personalized therapeutic.
authors.affiliation: Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard T.H. Chan School of Public Health, 450 Brookline Ave, Boston MA 02215, USA. Electronic address: xsliu@jimmy.harvard.edu.
authors.forename: X Shirley
authors.initials: XS
authors.lastname: Liu
authors.affiliation: Institute for Genomic Medicine, Nationwide Children's Hospital, and The Ohio State University College of Medicine, 575 Children's Crossroad, Columbus OH 43205, USA. Electronic address: elaine.mardis@nationwidechildrens.org.
authors.forename: Elaine R
authors.initials: ER
authors.lastname: Mardis
mesh_terms: D000818:Animals; D000951:Antigens, Neoplasm / Q000276:immunology*; D019496:Cancer Vaccines / Q000276:immunology; D015894:Genome, Human; D006680:HLA Antigens / Q000276:immunology; D006801:Humans; D007125:Immunogenetics; D016246:Lymphocytes, Tumor-Infiltrating / Q000276:immunology; D009154:Mutation; D009369:Neoplasms / Q000235:genetics* / Q000276:immunology*; D020539:Sequence Analysis, Protein
chemical_list: D000951:Antigens, Neoplasm; D019496:Cancer Vaccines; D006680:HLA Antigens