ArticleMaterials today. Bio2024
Robust anti-tumor immunity through the integration of targeted lipid nanoparticle-based mRNA nanovaccines with PD-1/PD-L1 blockade.
Article in Materials today. Bio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Smart nanoparticle vaccines integrate nanotechnology artificial intelligence and immunoengineering for precision immunization.Discover nano · 2026Review
- Nanomaterial-Enabled Modulation of Tumor-Associated Macrophages and Dendritic Cells to Enhance Cancer Immunotherapy.Nanomaterials (Basel, Switzerland) · 2026Review
- Concerns and challenges in clinics-guided nanovaccines design and applications.Acta pharmaceutica Sinica. B · 2026Review
- Lipid nanoparticle-mediated mRNA/siRNA dual-bioengineered dendritic cell vaccines combined of PD-1/PD-L1 blockade for boosting tumor immunotherapy.Materials today. Bio · 2025Article
- mRNA Cancer Vaccines: From Pandemic Paradigm to Personalized Oncology Therapeutics.Cancer innovation · 2025Review
- Enhancing mRNA therapy through iterative delivery.Science advances · 2025Article
- Review
- Developing Biomaterial-Based mRNA Delivery System for Lung Disease Treatment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Review
- Novel strategies for nanovaccine application in breast cancer treatment.Frontiers in pharmacology · 2025Review
- Targeting persistently activated inflammatory microenvironment to promote chronic wound healing.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor mRNA vaccines present a personalized approach in cancer immunotherapy, encoding distinct tumor antigens to evoke robust immune responses and offering the potential against emerging tumor variants. Despite this, the clinical advancement of tumor mRNA vaccines has been hampered by their limited delivery capacity and inefficient activation of antigen-presenting cells (APCs). Herein, we employed microfluidics technology to engineer mannose-modified lipid-based nanovaccines for specifically targeting APCs. The encapsulation process efficiently entrapped the cyclic guanosine monophosphate-adenosine monophosphate (cGAMP) agonist along with mRNA encoding antigens. The targeted nanovaccines (TNVs) exhibited a narrow particle size distribution, ensuring consistent and efficient delivery. These TNVs significantly enhanced gene expression of mRNA, facilitating antigen presentation and immune activation. When compared to non-targeted nanovaccines, TNVs outperformed in terms of antigen presentation and immune activation. Furthermore, the combination of anti-PD-L1 antibodies with TNVs elicited a synergistic anti-tumor effect. This was attributed to the anti-PD-L1 antibodies' ability to overcome the immune suppression of tumor cells. Our findings suggest that the combination treatment elicited the most robust anti-tumor immune activation and immune memory effect. These results indicate that integrating tumor mRNA vaccines with immune checkpoint inhibitors or other immunostimulatory agents may be crucial for enhancing the immune response.
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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 OpenQuestion graph.