Beyond the genetic code: orchestrating epigenetic and immune landscapes with multivalent mRNA-exosome vaccines

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ID: 320066
2026
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Abstract
Abstract mRNA therapeutics are transitioning from transient anti-viral vaccines into precise cancer immunotherapies capable of orchestrating potent antigen-specific T-cell and humoral responses. However, therapeutic resistance within immunologically “cold” tumors remains a formidable barrier, necessitating multi-axial optimization across transcript architecture, neoantigen selection, delivery vector engineering, and tumor microenvironment (TME) reprogramming. This review synthesizes critical breakthroughs in mRNA biochemistry—including chemical nucleotide modifications, optimized untranslated regions, structural codon adjustments, and stringent purification methodologies—that extend transcript longevity while limiting off-target reactogenicity to maximize functional antigen expression. We evaluate multi-omic neoantigen discovery workflows leveraging genomics, transcriptomics, immunoproteomics, and computational HLA-binding algorithms to refine patient-specific target selection. Next, we dissect advanced lipid nanoparticles, surface-functionalized biomaterials, and engineered extracellular vesicles optimized to enhance antigen-presenting cell tropism and lymphoid homing. We further detail how vaccine-induced cytokine fluxes actively remodel the TME, successfully reversing local immune tolerance and driving robust effector leukocyte infiltration into the tumor stroma. Specifically, we highlight the convergence of mRNA-mediated cytokine signaling and epigenetic imprinting, which cooperatively induce trained immunity for durable preventive surveillance. Finally, we delineate rational combinations with immune checkpoint blockades while addressing translational challenges: identifying predictive biomarkers, mapping presentation kinetics, and structuring adaptive clinical trial frameworks.
Reference Key
openalex_W7167612263 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Huiqin Bian, William Tse, Gang Huang, Shujun Liu
Journal precision clinical medicine
Year 2026
DOI
10.1093/pcmedi/pbag019
URL
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