Identification and ranking of recurrent neo-epitopes in cancer.

ABSTRACT: BACKGROUND:Immune escape is one of the hallmarks of cancer and several new treatment approaches attempt to modulate and restore the immune system's capability to target cancer cells. At the heart of the immune recognition process lies antigen presentation from somatic mutations. These neo-epitopes are emerging as attractive targets for cancer immunotherapy and new strategies for rapid identification of relevant candidates have become a priority. METHODS:We carefully screen TCGA data sets for recurrent somatic amino acid exchanges and apply MHC class I binding predictions. RESULTS:We propose a method for in silico selection and prioritization of candidates which have a high potential for neo-antigen generation and are likely to appear in multiple patients. While the percentage of patients c

SUBMITTER: Blanc E 

PROVIDER: S-EPMC6882202 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature