Genomic landscape associated with potential response to anti-CTLA-4 treatment in cancers.

ABSTRACT: Immunotherapy has emerged as a promising anti-cancer treatment, however, little is known about the genetic characteristics that dictate response to immunotherapy. We develop a transcriptional predictor of immunotherapy response and assess its prediction in genomic data from ~10,000 human tissues across 30 different cancer types to estimate the potential response to immunotherapy. The integrative analysis reveals two distinct tumor types: the mutator type is positively associated with potential response to immunotherapy, whereas the chromosome-instable type is negatively associated with it. We identify somatic mutations and copy number alterations significantly associated with potential response to immunotherapy, in particular treatment with anti-CTLA-4 antibody. Our findings suggest that t

SUBMITTER: Ock CY 

PROVIDER: S-EPMC5648801 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature