ASNEO: Identification of personalized alternative splicing based neoantigens with RNA-seq.

ABSTRACT: Cancer neoantigens have shown great potential in immunotherapy, while current software focuses on identifying neoantigens which are derived from SNVs, indels or gene fusions. Alternative splicing widely occurs in tumor samples and it has been proven to contribute to the generation of candidate neoantigens. Here we present ASNEO, which is an integrated computational pipeline for the identification of personalized Alternative Splicing based NEOantigens with RNA-seq. Our analyses showed that ASNEO could identify neopeptides which are presented by MHC I complex through mass spectrometry data validation. When ASNEO was applied to two immunotherapy-treated cohorts, we found that alternative splicing based neopeptides generally have a higher immune score than that of somatic

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC7425491 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature