ArticleSmall (Weinheim an der Bergstrasse, Germany)2024
Optimized Fabrication of Dendritic Mesoporous Silica Nanoparticles as Efficient Delivery System for Cancer Immunotherapy.
Article in Small (Weinheim an der Bergstrasse, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
9 citing papers in PubMed.
- Metal-organic framework nanovaccines for systemic tumour regression.Nature biomedical engineering · 2026Article
- Nanoparticle Platforms in Cancer Immunotherapy: A Critical Comparative Review of PLGA, Mesoporous Silica, Magnetic Nanoparticles, and Covalent Organic Frameworks.Pharmaceutics · 2026Review
- Preliminary Study on Different Types of Solid Dispersion Excipients for Improving the Water Solubility and Physical Stability of Celecoxib.Pharmaceutics · 2026Article
- Dual-Function Sol-Gel Antibacterial Materials with Biphasic Octenidine Release for Decontamination and Long-Term Protection.ACS omega · 2026Article
- Innovative gene engineering and drug delivery systems for dendritic cells in cancer immunotherapy.Journal of biomedical science · 2025Review
- Recent Applications of Mesoporous Silica Nanoparticles in Gene Therapy.Advanced healthcare materials · 2025Review
- Applications of Tailored Mesoporous Silicate Nanomaterials in Regenerative Medicine and Theranostics.International journal of molecular sciences · 2025Review
- Bibliometric and visualized analysis of global distribution and research frontiers in tumor immune escape.Frontiers in immunology · 2025Article
- Optimized Fabrication of Dendritic Mesoporous Silica Nanoparticles as Efficient Delivery System for Cancer Immunotherapy.Small (Weinheim an der Bergstrasse, Germany) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
In the past decade, cancer immunotherapy has revolutionized the field of oncology. Major immunotherapy approaches such as immune checkpoint inhibitors, cancer vaccines, adoptive cell therapy, cytokines, and immunomodulators have shown great promise in preclinical and clinical settings. Among them, immunomodulatory agents including cancer vaccines are particularly appealing; however, they face limitations, notably the absence of efficient and precise targeted delivery of immune-modulatory agents to specific immune cells and the potential for off-target toxicity. Nanomaterials can play a pivotal role in addressing targeting and other challenges in cancer immunotherapy. Dendritic mesoporous silica nanoparticles (DMSNs) can enhance the efficacy of cancer vaccines by enhancing the effective loading of immune modulatory agents owing to their tunable pore sizes. In this work, an emulsion-based method is optimized to customize the pore size of DMSNs and loaded DMSNs with ovalbumin (OVA) and cytosine-phosphate-guanine (CpG) oligodeoxynucleotides (CpG-OVA-DMSNs). The immunotherapeutic effect of DMSNs is achieved through controlled chemical release of OVA and CpG in antigen-presenting cells (APCs). The results demonstrated that CpG-OVA-DMSNs efficiently activated the immune response in APCs and reduced tumor growth in the murine B16-OVA tumor model.
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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.