ReviewInternational journal of molecular sciences2025
Living Bacteria: A New Vehicle for Vaccine Delivery in Cancer Immunotherapy.
Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- The landscape of genitourinary cancer vaccines: clinical advances and future opportunities.Journal of advanced research · 2026Review
- Review
- Microbial medicines: Unlocking the therapeutic potential of the microbiome in cancer treatment.Journal of controlled release : official journal of the Controlled Release Society · 2026Review
- Bacterial outer membrane vesicles as intrinsically immunogenic and highly modifiable nanocarriers for precision tumor therapy.Molecular biology reports · 2026Review
- Engineered Escherichia coli as a microbial cell factory for intracellular protein delivery: strains, vectors, mechanisms, and therapeutic applications.Microbial cell factories · 2026Review
- Cancer Vaccines: Molecular Mechanisms, Clinical Progress, and Combination Immunotherapies with a Focus on Hepatocellular Carcinoma.Current issues in molecular biology · 2025Review
- Intravenous iRGD-Guided, RBC-Membrane Camouflaged Lactococcus Lactis Remodels Cold NSCLC and Enhances PD-1 Blockade.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Review
- EngineeredInternational journal of nanomedicine · 2025Article
- Advances in the application of tumor vaccines and combination strategies: new perspectives in lung cancer treatment.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
3 authors.
Funding
Abstract
Cancer vaccines, aimed at evolving the human immune system to eliminate tumor cells, have long been explored as a method of cancer treatment with significant clinical potential. Traditional delivery systems face significant challenges in directly targeting tumor cells and delivering adequate amounts of antigen due to the hostile tumor microenvironment. Emerging evidence suggests that certain bacteria naturally home in on tumors and modulate antitumor immunity, making bacterial vectors a promising vehicle for precision cancer vaccines. Live bacterial vehicles offer several advantages, including tumor colonization, precise drug delivery, and immune stimulation, making them a compelling option for cancer immunotherapy. In this review, we explore the mechanisms of action behind living bacteria-based vaccines, recent progress in popular bacterial chassis, and strategies for specific payload delivery and biocontainment to ensure safety. These approaches will lay the foundation for developing an affordable, widely applicable cancer vaccine delivery system. This review also discusses the challenges and future opportunities in harnessing bacterial-based vaccines for enhanced therapeutic outcomes in cancer treatment.
Indexed as
Identifiers
What OpenQuestion holds
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.