ReviewFrontiers in oncology2026
Oncobiotics in urinary bladder cancer. A narrative review of living cancer therapeutics.
Review in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Erratum issued
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urinary bladder cancer (UBC) remains a major global health burden, with high recurrence rates and limited therapeutic options for patients who fail standard intravesical and systemic treatments. In recent years, Living Cancer Therapeutics (LCTs)-including bacteria-, virus-, and microbiome-based oncobiotics-emerged as innovative biological strategies capable of overcoming key limitations of conventional cancer therapies. This article is a narrative review aimed at mapping the mechanistic landscape, historical development, and translational progress of LCTs in UBC. Five interrelated mechanisms were identified through which oncobiotics exert therapeutic effects: (i) direct tumor destruction via bacterial colonization, cytolysis, and metabolic deprivation; (ii) immune system modulation through innate and adaptive immune activation; (iii) engineered drug delivery and synthetic biology enabling programmable, tumor-restricted payload release; (iv) oncolytic virotherapy combining selective tumor lysis with immune priming; and (v) microbiome-driven immune modulation influencing treatment responsiveness. Although conceptually distinct, these mechanisms frequently overlap in practice, reflecting the multifunctional nature of living therapeutics. Clinical translation has progressed furthest for immune-mediated approaches such as Bacillus Calmette-Guérin (BCG) and selected oncolytic viral platforms, particularly in BCG-unresponsive UBC, although current evidence remains limited by small studies, heterogeneous endpoints, and insufficient long-term follow-up. Advances in genetic engineering and synthetic biology have enabled the development of increasingly sophisticated investigational platforms, including engineered oncolytic viruses, programmable bacterial vectors, and microbiome-based therapeutic strategies; however, most remain at an early preclinical or translational stage. UBC may represent a favorable setting for LCT development due to the accessibility of the bladder and the established use of intravesical therapies, although delivery efficiency and therapeutic durability remain important challenges. Despite encouraging early findings, significant limitations persist, including biological delivery barriers, host immune neutralization, interpatient heterogeneity, biosafety concerns, regulatory complexity, and the scarcity of late-phase randomized clinical data. Further translational research, biomarker development, and long-term clinical evaluation will therefore be required to determine the future role of LCTs in UBC management.
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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 Socratic graph.