Abstract 3495: Characterizing the MYC-induced immunopeptidome

Abstract Medulloblastoma, the most common malignant brain tumor typically found in children ages 0-9, comprises four subgroups, each with distinct molecular characteristics. Children with MYC or MYCN amplifications, which occur in Group 3 and Sonic Hedgehog subgroups, respectively, face poor survival rates and high metastasis. MYC and MYCN, both DNA-binding transcription factors, drive oncogenesis by promoting rapid cell division. This study investigates how MYC(N) upregulation stimulates the production of immunogenic neoantigens from non-canonical peptides, which may serve as novel targets for immunotherapy. Prior work shows post-transcriptional control is a critical component of MYC biology, with Group 3 tumors exhibiting significant protein-RNA dyssynchrony. Intriguingly, MYC preferentially drives the translation of upstream open reading frames (uORFs), which are non-canonical peptides that are largely unstable but exhibit robust presentation on the MHC-I antigen system.To test this, we engineered UW228 and ONS76 medulloblastoma cell lines to express MYC or MYCN cDNAs using GFP as a control and verified overexpression via western blotting and qPCR. We assessed HLA-I protein uniformity via flow cytometry. Ribosome and RNA sequencing were used to identify actively translated genomic regions and mRNA transcript levels. HLA-I immunopeptidomics was completed to identify non-canonical peptides with increased surface presence due to MYC(N) expression.We successfully verified MYC(N) overexpression and demonstrated the required HLA-I expression for immunopeptidomic analysis. The sequencing data confirmed that MYC(N) drives the translation of specific non-canonical peptides uORFs, showing increased immunopeptidome complexity in high-risk medulloblastoma models. These results are broadly supportive of MYC(N)'s role in driving the flux of non-productive peptides.Completion of this research will identify novel antigens linked to MYC(N), offering critical information for the development of medulloblastoma-specific immunotherapies to improve outcomes for affected patients. Future research will investigate MYC(N)’s impact on proteasome function and the BAG6 complex, which is responsible for regulating proteasomal degradation of non-canonical translation products. Pathway analyses will also be conducted to compare gene family expression and identify upregulated and downregulated biological functions. Citation Format: Jack Faulkner, Anwesha Dasgupta, John R. Prensner, . Characterizing the MYC-induced immunopeptidome [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3495.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-3495
Primary Topic
vaccines and immunoinformatics approaches
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article
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article

Abstract 3495: Characterizing the MYC-induced immunopeptidome

Anwesha Dasgupta, Jack Faulkner, John R. Prensner
Cancer Research
vaccines and immunoinformatics approaches
article

Abstract 3495: Characterizing the MYC-induced immunopeptidome

Anwesha Dasgupta, Jack Faulkner, John R. Prensner
article en

Abstract

Abstract Medulloblastoma, the most common malignant brain tumor typically found in children ages 0-9, comprises four subgroups, each with distinct molecular characteristics. Children with MYC or MYCN amplifications, which occur in Group 3 and Sonic Hedgehog subgroups, respectively, face poor survival rates and high metastasis. MYC and MYCN, both DNA-binding transcription factors, drive oncogenesis by promoting rapid cell division. This study investigates how MYC(N) upregulation stimulates the production of immunogenic neoantigens from non-canonical peptides, which may serve as novel targets for immunotherapy. Prior work shows post-transcriptional control is a critical component of MYC biology, with Group 3 tumors exhibiting significant protein-RNA dyssynchrony. Intriguingly, MYC preferentially drives the translation of upstream open reading frames (uORFs), which are non-canonical peptides that are largely unstable but exhibit robust presentation on the MHC-I antigen system.To test this, we engineered UW228 and ONS76 medulloblastoma cell lines to express MYC or MYCN cDNAs using GFP as a control and verified overexpression via western blotting and qPCR. We assessed HLA-I protein uniformity via flow cytometry. Ribosome and RNA sequencing were used to identify actively translated genomic regions and mRNA transcript levels. HLA-I immunopeptidomics was completed to identify non-canonical peptides with increased surface presence due to MYC(N) expression.We successfully verified MYC(N) overexpression and demonstrated the required HLA-I expression for immunopeptidomic analysis. The sequencing data confirmed that MYC(N) drives the translation of specific non-canonical peptides uORFs, showing increased immunopeptidome complexity in high-risk medulloblastoma models. These results are broadly supportive of MYC(N)'s role in driving the flux of non-productive peptides.Completion of this research will identify novel antigens linked to MYC(N), offering critical information for the development of medulloblastoma-specific immunotherapies to improve outcomes for affected patients. Future research will investigate MYC(N)’s impact on proteasome function and the BAG6 complex, which is responsible for regulating proteasomal degradation of non-canonical translation products. Pathway analyses will also be conducted to compare gene family expression and identify upregulated and downregulated biological functions. Citation Format: Jack Faulkner, Anwesha Dasgupta, John R. Prensner, . Characterizing the MYC-induced immunopeptidome [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3495.

Cancer ResearchVol. 86(7_Supplement)
University of Michigan (US)
Openalex Percentile: Top 8%
vaccines and immunoinformatics approaches
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