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Accounting for proximal variants improves neoantigen prediction
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Accounting for proximal variants improves neoantigen prediction
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Journal Article
Accounting for proximal variants improves neoantigen prediction
2019
Overview
Recent efforts to design personalized cancer immunotherapies use predicted neoantigens, but most neoantigen prediction strategies do not consider proximal (nearby) variants that alter the peptide sequence and may influence neoantigen binding. We evaluated somatic variants from 430 tumors to understand how proximal somatic and germline alterations change the neoantigenic peptide sequence and also affect neoantigen binding predictions. On average, 241 missense somatic variants were analyzed per sample. Of these somatic variants, 5% had one or more in-phase missense proximal variants. Without incorporating proximal variant correction for major histocompatibility complex class I neoantigen peptides, the overall false discovery rate (incorrect neoantigens predicted) and the false negative rate (strong-binding neoantigens missed) across peptides of lengths 8–11 were estimated as 0.069 (6.9%) and 0.026 (2.6%), respectively.
Including patient-specific information about nearby somatic and germline alterations improves the accuracy of neoantigen prediction, potentially impacting cancer vaccine design.
Publisher
Nature Publishing Group US,Nature Publishing Group
Subject
/ 631/114
/ 631/67
/ Analysis
/ Animal Genetics and Genomics
/ Antigens
/ Antigens, Neoplasm - genetics
/ Binding
/ Biomedical and Life Sciences
/ Cancer
/ Genetic Variation - genetics
/ Genomes
/ Histocompatibility Antigens Class I - genetics
/ Humans
/ Major histocompatibility complex
/ Melanoma
/ Mutation
/ Peptides
/ Tumors
