ReviewNanomaterials (Basel, Switzerland)2022
Bacteria-Assisted Transport of Nanomaterials to Improve Drug Delivery in Cancer Therapy.
Review in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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Who cites it
14 citing papers in PubMed.
- Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Sensitization strategy for sonodynamic therapy.Theranostics · 2026Review
- Dual-pathway tumor radiosensitization strategy based on engineered bacteria capable of targeted delivery of AuNPs and specific hypoxia alleviation.Journal of nanobiotechnology · 2025Article
- Aptamer-drug conjugates-loaded bacteria for pancreatic cancer synergistic therapy.Signal transduction and targeted therapy · 2024Article
- Bacteria-driven nanosonosensitizer delivery system for enhanced breast cancer treatment through sonodynamic therapy-induced immunogenic cell death.Journal of nanobiotechnology · 2024Article
- Lactobacillus-Polydopamine System for Targeted Drug Delivery in Overactive Bladder: Evidence from Bladder Cell Spheroids, Rat Models, and Urinary Microbiome Profiling.International journal of nanomedicine · 2024Article
- Bacteria-Based Nanoprobes for Cancer Therapy.International journal of nanomedicine · 2024Review
- Bio-Inspired Nanomaterials for Micro/Nanodevices: A New Era in Biomedical Applications.Micromachines · 2023Review
- A Review of Single-Cell Microrobots: Classification, Driving Methods and Applications.Micromachines · 2023Review
- Bacteria associated with glioma: a next wave in cancer treatment.Frontiers in cellular and infection microbiology · 2023Review
- Engineering mesoporous silica nanoparticles for drug delivery: where are we after two decades?Chemical Society reviews · 2022Review
- Bacteria as Nanoparticle Carriers for Immunotherapy in Oncology.Pharmaceutics · 2022Review
- Design principles of bioinspired interfaces for biomedical applications in therapeutics and imaging.Frontiers in chemistry · 2022Review
- Recent advances in bacteria-mediated cancer therapy.Frontiers in bioengineering and biotechnology · 2022Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Currently, the design of nanomaterials for the treatment of different pathologies is presenting a major impact on biomedical research. Thanks to this, nanoparticles represent a successful strategy for the delivery of high amounts of drugs for the treatment of cancer. Different nanosystems have been designed to combat this pathology. However, the poor penetration of these nanomaterials into the tumor tissue prevents the drug from entering the inner regions of the tumor. Some bacterial strains have self-propulsion and guiding capacity thanks to their flagella. They also have a preference to accumulate in certain tumor regions due to the presence of different chemo-attractants factors. Bioconjugation reactions allow the binding of nanoparticles in living systems, such as cells or bacteria, in a simple way. Therefore, bacteria are being used as a transport vehicle for nanoparticles, facilitating their penetration and the subsequent release of the drug inside the tumor. This review would summarize the literature on the anchoring methods of diverse nanosystems in bacteria and, interestingly, their advantages and possible applications in cancer therapy.
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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.