ArticleNature biotechnology2026
Enhanced antitumor immunity of mRNA vaccines by bioorthogonal-like delayed activation of exogeneous STING.
Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
23 authors.
Funding
Abstract
The development of cGAS-STING (stimulator of interferon genes) agonists as mRNA vaccine adjuvants has been hampered by widespread STING expression and by the observation that codelivered STING agonists suppress antigen mRNA translation. Here, to address these challenges, we engineer synchronized STING (Syn-STING): a lipid nanoparticle (LNP) codelivering antigen mRNA, mRNA encoding full-length STING transmembrane protein and a bioorthogonal-like delayed-release STING activator, DMXAA. DMXAA release is controlled by a biodegradable linker, enabling localized mouse STING activation while avoiding systemic endogeneous human STING recognition. In humanized STING mouse models, we test human papillomavirus E7 and ovalbumin antigens with mouse STING or a human STING mutant engineered for DMXAA specificity. Intratumoral or subcutaneous LNPs are preferentially internalized by myeloid cells, preserving antigen expression fidelity, achieving localized STING activation in antigen-presenting cells and preventing systemic regulatory B cell differentiation and immunocyte apoptosis. The Syn-STING vaccine elicits robust adaptive responses and Th1-biased T cell immunity. It suppresses tumor growth and prolongs survival while exhibiting negligible anti-STING immunity.
Identifiers
42618806What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.