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Proteogenomic analysis reveals RNA as a source for tumor-agnostic neoantigen identification (H021)

Systemic pan-tumor analyses may reveal the significance of common features implicated in cancer immunogenicity and patient survival. Here, we provide a comprehensive multi-omics data set for 32 patients across 25 tumor types for proteogenomic-based discovery of neoantigens. By using an optimized computational approach, we discover a large number of tumor-specific and tumor-associated antigens. To create a pipeline for the identification of neoantigens in our cohort, we combine DNA and RNA sequencing with MS-based immunopeptidomics of tumor specimens, followed by the assessment of their immunogenicity and an in-depth validation process. We detect a broad variety of non-canonical HLA-binding peptides in the majority of patients demonstrating partially immunogenicity. Our validation process allows for the selection of 32 potential neoantigen candidates. The majority of neoantigen candidates originates from variants identified in the RNA data set, illustrating the relevance of RNA as a still understudied source of cancer antigens. This study underlines the importance of RNA-centered variant detection for the identification of shared biomarkers and potentially relevant neoantigen candidates.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001009670 HiSeq X Ten Illumina HiSeq 4000 1
EGAD00001009671 HiSeq X Ten Illumina HiSeq 4000 -
EGAD00001009705 Illumina HiSeq 4000 34
EGAD00001009706 Illumina HiSeq 4000 17
Publications Citations
Proteogenomic analysis reveals RNA as a source for tumor-agnostic neoantigen identification.
Nat Commun 14: 2023 4632
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Author Correction: Proteogenomic analysis reveals RNA as a source for tumor-agnostic neoantigen identification.
Nat Commun 15: 2024 2364
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