Current tools for predicting cancer-specific T cell immunity

Oncoimmunology. 2016 Apr 25;5(7):e1177691. doi: 10.1080/2162402X.2016.1177691. eCollection 2016 Jul.

Abstract

Tumor exome and RNA sequencing data provide a systematic and unbiased view on cancer-specific expression, over-expression, and mutations of genes, which can be mined for personalized cancer vaccines and other immunotherapies. Of key interest are tumor-specific mutations, because T cells recognizing neoepitopes have the potential to be highly tumoricidal. Here, we review recent developments and technical advances in identifying MHC class I and class II-restricted tumor antigens, especially neoantigen derived MHC ligands, including in silico predictions, immune-peptidome analysis by mass spectrometry, and MHC ligand validation by biochemical methods on T cells.

Keywords: Cancer; MHC; T cells; exome; mutation; peptide; peptidome; transcriptome.

Publication types

  • Review