mRNA vaccine platforms: linking infectious disease prevention and cancer immunotherapy

Frontiers in Bioengineering and Biotechnology, Год журнала: 2025, Номер 13

Опубликована: Март 12, 2025

The advent of mRNA vaccines, accelerated by the global response to COVID-19 pandemic, marks a transformative shift in vaccine technology. In this article, we discuss development, current applications, and prospects vaccines for both prevention treatment infectious diseases oncology. By leveraging capacity encode antigens within host cells directly, provide versatile scalable platform suitable addressing broad spectrum pathogens tumor-specific antigens. We highlight recent advancements design, innovative delivery mechanisms, ongoing clinical trials, with particular emphasis on their efficacy combating diseases, such as COVID-19, Zika, influenza, well emerging potential cancer immunotherapy. also address critical challenges, including stability, optimization immune responses, broader issue accessibility. Finally, review strategies advancing next-generation aim overcoming limitations technology enhancing preventive therapeutic approaches oncological diseases.

Язык: Английский

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A review of advances in in vitro RNA preparation by ssRNAP

International Journal of Biological Macromolecules, Год журнала: 2025, Номер 304, С. 141002 - 141002

Опубликована: Фев. 12, 2025

Язык: Английский

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Advances in Personalized Cancer Vaccine Development: AI Applications from Neoantigen Discovery to mRNA Formulation

BioChem, Год журнала: 2025, Номер 5(2), С. 5 - 5

Опубликована: Март 31, 2025

Personalized cancer vaccines are a promising immunotherapy targeting patient-specific tumor neoantigens, yet their design and efficacy remain challenging. Recent advances in artificial intelligence (AI) provide powerful tools to enhance multiple stages of vaccine development. This review systematically evaluates AI applications personalized research over the past five years, focusing on four key areas: neoantigen discovery, codon optimization, untranslated region (UTR) sequence generation, mRNA design. We examine model architectures (e.g., neural networks), datasets (from omics high-throughput assays), outcomes improving In machine learning deep models integrate peptide–MHC binding, antigen processing, T cell receptor recognition immunogenic identification. For for UTR improve protein expression stability beyond traditional methods. AI-driven strategies also optimize constructs formulations, including secondary structures nanoparticle delivery systems. discuss how these approaches converge streamline effective development, while addressing challenges such as data scarcity, heterogeneity, interpretability. By leveraging innovations, future may see unprecedented improvements both efficiency clinical effectiveness.

Язык: Английский

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Novel Strategies in Breast Cancer Management: from Treatment to Long-term Remission

Critical Reviews in Oncology/Hematology, Год журнала: 2025, Номер unknown, С. 104715 - 104715

Опубликована: Апрель 1, 2025

Язык: Английский

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mRNA vaccines for prostate cancer: A novel promising immunotherapy

Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, Год журнала: 2025, Номер unknown, С. 189333 - 189333

Опубликована: Апрель 1, 2025

Язык: Английский

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