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Record W7046627942

Effects of Prophylactic β-glucan Administration Against Non-Muscle Invasive Urinary Bladder Cancer

2025· other· en· W7046627942 on OpenAlexfundno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2025
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersQueen's University
KeywordsBladder cancerUrinary bladderAdverse effectSystemic administrationUrinary systemTransitional cell carcinomaLymphCancerIn vivo
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Non-muscle-invasive bladder cancer (NMIBC) is the most common type of bladder cancer. The gold-standard treatment is transurethral resection of bladder tumour (TURBT) followed by intravesical administration of Bacillus Calmette-Guérin (BCG), but this treatment is associated with significant limitations including a high recurrence rate and high rate of adverse effects. While the therapeutic mode of BCG is not fully known, there is evidence that BCG-mediated systemic acquisition of trained immunity may play a role. This thesis examined the role of β-glucan, an immunogenic polysaccharide, as a potential alternative treatment for NMIBC. Like BCG, β-glucan has also been demonstrated to induce epigenetic changes characteristic of trained immunity, but unlike BCG, β-glucan is not a live bacterium, and thus may be associated with a reduced likelihood of adverse effects. Hypothesis: Systemic administration of β-glucan is effective against bladder cancer. Materials & Methods: Two groups of C57BL/6 mice were pretreated intraperitoneally with β-glucan or PBS twice prior to intravesical instillation of MB49-Luc cells, a murine urothelial carcinoma cell line transfected with luciferase. To assess tumour growth, in vivo bioluminescence imaging was used. Mice were euthanized 10 days after tumour cell instillation; bladders and tumour-draining lymph nodes (tdLNs) were collected and subjected to flow cytometry. Analysis of tumour growth was repeated in a separate experiment. Mice following the same dosing protocol were subjected to lipopolysaccharide (LPS) stimulation 6 days after β-glucan administration, followed by euthanasia and blood collection 4 hours later. Cytokine concentrations in the collected blood were analyzed. Results: A significant reduction in overall tumour burden was noted in the repeated experiment assessing tumour growth, as was a significant reduction in initial tumour growth. This inhibition of tumour growth was associated with a significant increase in Interleukin-12p70 (IL-12p70) in a separate cohort of β-glucan-treated mice. Proportions of several immune cells were significantly altered in the tdLNs of β-glucan treated mice. Conclusions: Overall, results point to a therapeutic benefit of β-glucan in the treatment/prevention of bladder cancer. Given the discrepancy in the findings of the tumour growth experiments, additional studies are warranted. Evidence of acquisition of trained immunity following β-glucan administration further supports the concept that the therapeutic benefit of β-glucan may be mediated by trained immunity; however, mechanistic studies are needed to establish causality.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.200
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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