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Abstract P008: Effect of route of Bacillus Calmette Guérin administration on the tumor immune microenvironment in a mouse model of non-muscle invasive bladder cancer

2022· article· en· W4205365572 on OpenAlexaff
Aline Atallah, Arielle Grossman, William T. Tran, Jean‐François Paré, Tiziana Cotechini, Charles H. Graham

Bibliographic record

VenueCancer Immunology Research · 2022
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsQueen's University
Fundersnot available
KeywordsBladder cancerMedicineImmunotherapyImmune systemUrologyTumor microenvironmentCancerFlow cytometrySalineInternal medicineImmunology

Abstract

fetched live from OpenAlex

Abstract Background: Bladder cancer is the fifth most common cancer in North America, with up to 80% of cases being non-muscle invasive bladder cancer (NMIBC). The standard of care for high-risk NMIBC involves intravesical immunotherapy with Bacillus Calmette Guérin (BCG), a live attenuated bacterium. Unfortunately, most patients do not respond fully to this therapy, resulting in recurrences that sometimes progress to invasive disease. Moreover, our understanding of how BCG exerts its immunotherapeutic effect is incomplete. Using a mouse model of NMIBC, we compared the bladder tumor immune microenvironment (TiME) following intravesical versus intravenous (IV) administration of BCG. Methods: Female C57Bl/6 mice (6-8 weeks old) were catheterized and 2.5 × 105 MB49 bladder cancer cells were instilled into the bladders after poly-L-lysine treatment. On day 7 post cancer cell instillation, mice with equal tumor volumes were randomized to receive three weekly intravesical or IV administrations of saline or BCG (2 mg/50 μl). Similarly, following catheterization, 50 μl of poly-L-lysine was administered into the bladders of control non-tumor bearing mice, which was then followed by three weekly intravesical instillations of BCG (2 mg/50 μl). In both cohorts, mice were sacrificed on day 23 and bladders were harvested and enzymatically dispersed to generate single-cell suspensions for analysis by polychromatic flow cytometry. Results: Compared with intravesical BCG treatment, the TiME of mice treated with BCG intravenously was associated with a significantly higher proportion of CD11b− CD3+, CD3−, and CD4− lymphoid cells, as well as a significantly lower proportion of immature myeloid cells. Furthermore, compared with saline IV treatment, BCG administered IV resulted in a significantly larger CD4− T cell population. There were no significant differences in the TiME of intravesically BCG-treated vs intravesically saline-treated tumor-bearing mice. However, compared with control non-tumor-bearing mice treated with saline intravesically, bladders of non-tumor-bearing mice treated intravesically with BCG had a significantly higher proportion of leukocytes, which were predominantly immature myeloid cells. Conclusion/Significance: These results provide evidence that the route of BCG administration is an important determinant of the composition of the TiME in bladder cancer. Understanding the link between the TiME and BCG therapy may facilitate the development of new approaches to improve outcomes and reduce recurrence rates in patients with NMIBC. This knowledge may also help optimize BCG treatment regimen to avoid unnecessary therapy and induce an optimal anti-tumor immune response. Citation Format: Aline Atallah, Arielle Grossman, William Tran, Jean-Francois Paré, Tiziana Cotechini, Charles H. Graham. Effect of route of Bacillus Calmette Guérin administration on the tumor immune microenvironment in a mouse model of non-muscle invasive bladder cancer [abstract]. In: Abstracts: AACR Virtual Special Conference: Tumor Immunology and Immunotherapy; 2021 Oct 5-6. Philadelphia (PA): AACR; Cancer Immunol Res 2022;10(1 Suppl):Abstract nr P008.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.351
Teacher spread0.301 · 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 teacher head, not a consensus.

Study designBench or experimental
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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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