Oct 2026· International Journal of Molecular Sciences· Vol 27, pp. 9191· 0 citations· 63 references
Medicine
TL;DR
It is demonstrated that m1Ψ modification substantially enhances antigen expression and supports the efficient generation of functional, antigen-specific CTLs, providing a promising platform for next-generation mRNA-based cancer vaccines and adoptive T-cell therapies.
Abstract
Efficient generation of tumor-specific cytotoxic T lymphocytes (CTLs) remains challenging. Although mRNA-based approaches enable the delivery and expression of diverse tumor-specific antigens, unmodified mRNA can trigger innate immune responses that suppress translation. Here, we investigated whether 1-methyl-pseudouridine (m1Ψ)-modified mRNA enhances antigen expression in human dendritic cells (DCs) and promotes the induction of antigen-specific CTLs, using survivin and MART-1 as model tumor-associated antigens. Remarkably, m1Ψ modification increased protein production in DCs by up to 20-fold compared with unmodified mRNA. DCs transfected with m1Ψ-modified mRNAs efficiently primed survivin- and MART-1-specific CD8+ T cells from autologous peripheral blood mononuclear cells of healthy donors, as demonstrated by HLA class I peptide–MHC dextramer staining. Expanded CTL lines exhibited potent effector functions, including IFN-γ production, CD107a mobilization, and robust cytotoxicity against peptide-pulsed T2 cells and tumor cell lines expressing survivin or MART-1. Translation of the engineered mRNA variants in human HeLa cells and DCs is strongly dependent on the poly(A) tail. Together, these findings demonstrate that m1Ψ modification substantially enhances antigen expression and supports the efficient generation of functional, antigen-specific CTLs, providing a promising platform for next-generation mRNA-based cancer vaccines and adoptive T-cell therapies.
Effective activation of cancer-reactive T cells by antigen-presenting cells (APCs) is essential for tumor elimination. However, dendritic cell (DC)-based cancer vaccines often yield inconsistent clinical outcomes due to patient-dependent variability. We established IL-12-producing proliferative myeloid cells (IL12-pMCs...
Masateru Yamamoto, Rong Zhang, T. Kobayashi et al.· Molecular Therapy· 0 citations
The activation of cytotoxic CD8+ T cells requires antigen presentation in the context of major histocompatibility complex class I (MHC-I). While endogenous antigens can directly access this pathway, the priming of CD8+ T cells against exogenous antigens—such as those derived from tumors or internalized pathogens—depend...
Luz María Palacios, N. D. Dho, Cintia L. Araujo Furlan et al.· Frontiers in Immunology· 0 citations
Dendritic cells (DCs) are pivotal orchestrators of immune activation, serving as professional antigen-presenting cells that bridge innate and adaptive immunity. Among them, conventional type 1 dendritic cells (cDC1s) play a critical role in initiating cytotoxic T-cell responses and anti-tumor immunity. Despite th...
Ying Li, Kai-Yun Huang, Rui Shang et al.· Frontiers in Immunology· 0 citations
Abstract mRNA-based therapeutics have demonstrated notable success in SARS-CoV-2 vaccines and are emerging in cancer immunotherapy. However, conventional mRNA cancer vaccines are limited in part by the low immunogenicity of tumor-associated and neoantigens. We addressed this limitation by formulating a modular, liposom...
Toan Van Le, Shota Imai, Iriya Fujitsuka et al.· Oncoimmunology· 0 citations
Background Despite the significant promise of mRNA tumor vaccines in treating solid tumors, their clinical response rate is constrained by the low effectiveness of antigen presentation resulting from the immune-suppressive tumor microenvironment (TME). Conventional type 1 dendritic cells (cDC1) are pivotal in antigen c...
Chun-Jie Wu, Wan-Xuan Shao, Ya-Di Liu et al.· Frontiers in Immunology· 0 citations
Effective cancer immunotherapy requires an understanding of the tumor microenvironment (TME) to overcome immune suppression and provide a durable anti-tumor response. Here, we present preclinical evaluation of survivin antigen-encoded mRNA lipid nanoparticles (mRNA-LNPs) in a murine oral cancer model. In vivo anti-tumo...
Vandana Krishna, V. K. Venuganti· European Journal of Pharmaco...· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.