ReviewPharmaceutics2025
Engineered Bacteria-Nano Hybrid System: The Intelligent Drug Factory for Next-Generation Cancer Immunotherapy.
Review in Pharmaceutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Microbial Signals in Cancer: Dissecting Host-Microbiota-Tumor Interactions and Potential Therapeutic Strategy.MedComm · 2026Review
- Bacteria mediated tumor therapy recent advances challenges and future perspectives.Discover oncology · 2026Review
- Engineered live bacteria for liver diseases and gut-liver axis disorders: from genetic modification to advanced delivery systems.Journal of nanobiotechnology · 2026Review
- Illuminating the path to oncolysis: rise of microbial phototherapy.Journal of nanobiotechnology · 2026Review
- Engineered Bacteria-Vesicle Delivered Lactate Reprogramming Boosts Tumor Radiosensitivity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
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
Abstract
As one of the primary fatal diseases globally, cancer represents a severe threat to human health because of its high incidence and fatality rates. While traditional treatments including surgery, radiation, and conventional pharmacotherapy demonstrate therapeutic effects, they commonly suffer from issues like severe side effects, high rates of relapse, and immunosuppression. The advent of immune checkpoint inhibitors and targeted drugs has undoubtedly revolutionized cancer management and improved survival; however, a significant proportion of patients still encounter obstacles such as acquired resistance, an immunosuppressive tumor microenvironment, and poor drug delivery to avascular tumor regions. Recent integration of engineered bacteria with nanomaterials has offered novel strategies for cancer immunotherapy. Engineered bacteria feature natural tumor tropism, immune-stimulating properties, and programmability, while nanomaterials are characterized by high drug payload, tunable release profiles, and versatile functionality. This article reviews the application of hybrid systems integrating engineered bacteria and nanomaterials in cancer immunotherapy, exploring their potential for drug delivery, immunomodulation, targeted treatment, and smart responsiveness. The construction of an "intelligent drug factory" through the merger of bacterial biological traits and sophisticated nanomaterial functions enables precise manipulation of the tumor microenvironment and potent immune activation, thereby establishing a novel paradigm for the precise treatment of solid tumors. However, its clinical translation faces challenges such as long-term biosafety, genetic stability, and precise spatiotemporal control. Synergistic integration with therapies such as radiotherapy, chemotherapy, and immunotherapy represents a promising direction worthy of exploration.
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.