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Abstract B051: GSTT2 modulates the bladder tumor environment and response to BCG Immunotherapy

2023· article· en· W4389240156 on OpenAlexaboutno aff
Ratha Mahendran, Mugdha Vijay Patwardhan, Qin Kane Toh, Edmund Chiong

Bibliographic record

VenueCancer Immunology Research · 2023
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsImmunotherapyMedicineBladder cancerCancer researchImmunologyGene expressionGeneImmune systemCancerBiologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract The purpose of this study was to elucidate the impact of Glutathione -S-transferase Theta 2 (GSTT2) loss on the response of bladder tumors to Mycobacterium Bovis, Bacillus Calmette Guerin (BCG) immunotherapy. GSTT2 gene expression is controlled by a promoter deletion that occurs frequently in 25-29% of Asians and 41% of Caucasians. The GSTT2 promoter deletion correlated with better response to BCG therapy in a retrospective analysis of patients who received less BCG therapy. To understand this response, we generated GSTT2 knockout mice to elucidate the role of GSTT2 in BCG immunotherapy. Female C57BL/6J mice from GSTT2 wildtype (WT) and KO backgrounds were orthotopically implanted with MB49-PSA cells (murine MB49 cells secreting human PSA). To view the impact of GSTT2 loss on BCG immunotherapy, mice were treated with only 4 instillations of BCG Tokyo. This therapeutic schedule would not result in a high cure rate and but was chosen as we expected it to provide insights into the anti-tumor response. Mice were treated weekly with intravesical BCG Tokyo instillations and tumor growth was monitored by urinary PSA secretion. Final tumor presence was confirmed by real-time PCR analysis of PSA gene expression. One day after the last instillation the bladders (n=7) were harvested for single cell RNA sequencing (Parse Biosciences). Cell clusters were identified by their gene expression profiles. The response to BCG in terms of the cure rate was similar in KO and WT mice (cure rate of 18-20%) but several genes were differentially expressed. Genes with a Log2FC value of +1.5 in KO mice (Peak1, Rpph1, Gphn and Gm19551) and -1.5 in KO (Rora, Tshz2, Sh3gl2, Ankfn1, Rbms3, Naaladl2, Prkn, Mecom, Fmo5, Saa3, Tmprss2, C3, Gm10800 and Gm10801) relative to WT mice were examined. Based on the literature, these genes either block tumor progression (Rora, Tshz2, Sh3gl2 and Gphn); promote tumor progression (Ankfn1, Rbms3, Naaladl2, Prkn, Mecom, Fmo5, Tmprss2, Saa3, C3, Peak1, Rpph1) or modulate immune cells (C3, Saa3 and Rpph1). The majority of these genes were not previously associated with bladder cancer. Interrogation of the TCGA database showed that high expression of Gphn, Peak1 and GSTT2 correlated with poorer outcomes in bladder cancer patients in terms of disease-free survival (HR=1.9 log rank p=0.00038). While expression of the genes downregulated in KO mice and GSTT2 resulted in better outcomes with lower expression of all the genes (HR=1.4, log rank p=0.042). This data indicates that the loss of GSTT2 expression impacts the response of tumors to BCG immunotherapy, primarily by modulating the expression of genes associated with cancer progression and the expression of genes in multiple cell types. Given the common loss of GSTT2 expression in man this gene may be a parameter that should be evaluated in further detail in patients receiving BCG immunotherapy. Citation Format: Ratha Mahendran, Mugdha Vijay Patwardhan, Qin Kane Toh, Edmund Chiong. GSTT2 modulates the bladder tumor environment and response to BCG Immunotherapy [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2023 Oct 1-4; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2023;11(12 Suppl):Abstract nr B051.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.067
GPT teacher head0.387
Teacher spread0.320 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

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