Different strategies based on peptides are available for cancer treatment, in particular to
counter-act the progression of tumor growth and disease relapse. In the last decade, in the …

Cancer genome sequencing has enabled the rapid identification of the complete repertoire
of coding sequence mutations within a patient's tumor and facilitated their use as …

HLA class I molecules reflect the health state of cells to cytotoxic T cells by presenting a
repertoire of endogenously derived peptides. However, the extent to which the proteome …

Genome sequencing has revealed a large number of shared and personal somatic
mutations across human cancers. In principle, any genetic alteration affecting a protein …

The immune epitope database analysis resource (IEDB-AR: http://tools. iedb. org) is a
collection of tools for prediction and analysis of molecular targets of T-and B-cell immune …

HLA class I–binding predictions are widely used to identify candidate peptide targets of
human CD8+ T cell responses. Many such approaches focus exclusively on a limited range …

A number of machine learning-based predictors have been developed for identifying
immunogenic T-cell epitopes based on major histocompatibility complex (MHC) class I and II …

Survival for patients with glioblastoma, the most common high-grade primary CNS tumor,
remains poor despite multiple therapeutic interventions including intensifying cytotoxic …

Highlights•Immunopeptidomics analysis reveals the in vivo antigenic repertoire of
tumors.•Shared cancer antigens and private neo-epitopes are detected by …

Despite years of preclinical efforts and hundreds of clinical studies, therapeutic cancer
vaccines with the routine ability to limit or eliminate tumor growth in humans have been …