Evidence map›Paper›PMID 41168379›Full record

ArticleCancer gene therapy2026

Bacterial nanoparticles as a potent and safe alternative to BCG for bladder cancer immunotherapy.

Marine Colson, Arthur Aubry, Nicolas Gaide, Philippe Lluel, Eric Oswald, Laure David

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Article in Cancer gene therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Marine ColsonIRSD, Université de Toulouse, INSERM, INRAE, ENVT, Toulouse, France.ORCID 0009-0008-8778-0885
Arthur AubryUrosphere, Toulouse, France.ORCID 0000-0002-4344-1194
Nicolas GaideIHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France.
Philippe LluelUrosphere, Toulouse, France.
Eric OswaldIRSD, Université de Toulouse, INSERM, INRAE, ENVT, Toulouse, France.
Laure DavidIRSD, Université de Toulouse, INSERM, INRAE, ENVT, Toulouse, France. laure.david@inserm.fr.ORCID 0000-0003-0339-4941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer is the second most common malignancy of the urogenital system, with non-muscle-invasive forms being the most prevalent. While therapy with intravesical instillation of Bacillus Calmette-Guérin (BCG) is widely used, it shows variable efficacy and notable side effects, which prompts the need for new treatments. This study introduces a nanoscale biotherapy against bladder cancer using bacterial extracellular vesicles (bEVs) from Escherichia coli. In an orthotopic syngeneic rat model of bladder cancer with luciferase-tagged tumour cells, intravesical bEVs treatment significantly inhibited tumour growth compared to the gold standard therapy: BCG. Indeed, compared to BCG, bEVs treatment led to superior tumour regression, with 60% of treated animals showing complete tumour clearance versus 20% in the BCG-treated group. Moreover, we observed strong local immune activation, namely T cell infiltration and mucosal lymphoid aggregates, which negatively correlated with tumour size, suggesting that bEVs efficacy is due, at least in part, to their ability to induce a strong antitumor immune response. Notably, bEVs caused no mortality or systemic toxicity. Altogether, the present study constitutes a striking illustration of translational medicine, where the properties of a bacterial compound can be harnessed for patient benefit.

Indexed as

BCG VaccineEscherichia coliExtracellular VesiclesImmunotherapyNanoparticlesUrinary Bladder NeoplasmsAdministration, IntravesicalAnimalsCell Line, TumorDisease Models, AnimalFemaleHumansRatsBCG Vaccine

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

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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.