Engineering editopes through programmable RNA editing toward tumor neoantigen generation

Neoepitope-based therapies hold great promise for cancer immunotherapy because they target tumor-specific mutations and elicit potent anti-tumor T-cell responses. However, their clinical implementation remains limited by the complexity of neoepitope discovery and uncertainty regarding presentation by tumor cells. A potential alternative is the generation of immunogenic neoepitopes directly within cancer cells through programmable RNA editing. Here, we develop Short Precise-Encodable ADAR Recruiting (SPEAR) gRNAs that harness endogenous ADAR1 to direct precise adenosine-to-inosine (A-to-I) editing at selected transcript sites. Using these gRNAs, we demonstrate the generation of immunogenic neoepitopes through RNA editing at the transcript level, termed editopes. In a proof-of-concept model based on the melanoma antigen MART-1, SPEAR-mediated RNA editing restored antigen-specific T cell recognition and enabled tumor control in vivo. Finally, we developed a computational pipeline to identify candidate tumor-selective neoepitopes across multiple cancer types amenable to guided RNA editing. Our findings establish programmable RNA editing as a strategy for engineering immunogenic editopes and provide a framework for neoepitope-directed cancer immunotherapy.

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Publication Details

Journal
The EMBO Journal
Published
2026-08-14
DOI
https://doi.org/10.1038/s44318-026-00870-5
Primary Topic
RNA regulation and disease
Type
article
Field-Weighted Citation Impact
0.00

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article

Engineering editopes through programmable RNA editing toward tumor neoantigen generation

Rienk Offringa, John M. Lindner, Riccardo Pecori, Mohammad Abukhalaf et al.
The EMBO Journal
RNA regulation and disease
article

Engineering editopes through programmable RNA editing toward tumor neoantigen generation

Rienk Offringa, John M. Lindner, Riccardo Pecori, Mohammad Abukhalaf, Rona Merdler-Rabinowicz, Khwab Sanghvi, Beatrice Casati, Stefan Tenzer, Veronica Pinamonti, David Gómez-Zepeda, Eytan Ruppin, Stefan Zens, Erez Y. Levanon, F. Nina Papavasiliou, Rafael Carretero, Annette Arnold, Netanel Landesman, Kai Kipfstuhl, Mantiana Topouzi, Michael Platten, Ece Bilgin
article en

Abstract

Neoepitope-based therapies hold great promise for cancer immunotherapy because they target tumor-specific mutations and elicit potent anti-tumor T-cell responses. However, their clinical implementation remains limited by the complexity of neoepitope discovery and uncertainty regarding presentation by tumor cells. A potential alternative is the generation of immunogenic neoepitopes directly within cancer cells through programmable RNA editing. Here, we develop Short Precise-Encodable ADAR Recruiting (SPEAR) gRNAs that harness endogenous ADAR1 to direct precise adenosine-to-inosine (A-to-I) editing at selected transcript sites. Using these gRNAs, we demonstrate the generation of immunogenic neoepitopes through RNA editing at the transcript level, termed editopes. In a proof-of-concept model based on the melanoma antigen MART-1, SPEAR-mediated RNA editing restored antigen-specific T cell recognition and enabled tumor control in vivo. Finally, we developed a computational pipeline to identify candidate tumor-selective neoepitopes across multiple cancer types amenable to guided RNA editing. Our findings establish programmable RNA editing as a strategy for engineering immunogenic editopes and provide a framework for neoepitope-directed cancer immunotherapy.

The EMBO Journal
Bar-Ilan University (IL), Universidad de Granada (ES), German Cancer Research Center (DE), Johannes Gutenberg University Mainz (DE), Heidelberg University (DE), University Hospital Heidelberg (DE), University Medical Center of the Johannes Gutenberg University Mainz (DE), Helmholtz Institute Mainz (DE), National Cancer Institute (US), University Medical Centre Mannheim (DE), BioMed X Institute (DE)
Deutsches Krebsforschungszentrum, Deutsche Forschungsgemeinschaft, Israel Science Foundation, Helmholtz Association
Openalex Percentile: Top 16%
RNA regulation and disease
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