MuPeXI: prediction of neo-epitopes from tumor sequencing data

Anne-Mette Bjerregaard, Morten Nielsen, Sine Reker Hadrup, Zoltan Imre Szallasi, Aron Charles Eklund

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Personalization of immunotherapies such as cancer vaccines and adoptive T cell therapy depends on identification of patient-specific neo-epitopes that can be specifically targeted. MuPeXI, the mutant peptide extractor and informer, is a program to identify tumor-specific peptides and assess their potential to be neo-epitopes. The program input is a file with somatic mutation calls, a list of HLA types, and optionally a gene expression profile. The output is a table with all tumor-specific peptides derived from nucleotide substitutions, insertions, and deletions, along with comprehensive annotation, including HLA binding and similarity to normal peptides. The peptides are sorted according to a priority score which is intended to roughly predict immunogenicity. We applied MuPeXI to three tumors for which predicted MHC-binding peptides had been screened for T cell reactivity, and found that MuPeXI was able to prioritize immunogenic peptides with an area under the curve of 0.63. Compared to other available tools, MuPeXI provides more information and is easier to use. MuPeXI is available as stand-alone software and as a web server at http://www.cbs.dtu.dk/services/MuPeXI .
    Original languageEnglish
    JournalCancer Immunology, Immunotherapy
    Volume66
    Issue number9
    Pages (from-to)1123–1130
    ISSN0340-7004
    DOIs
    Publication statusPublished - 2017

    Keywords

    • Immunotherapy
    • Mutation
    • Neo-antigens
    • Neo-epitopes
    • Prediction
    • Sequencing

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