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Record W4362592192 · doi:10.1158/1538-7445.am2023-4858

Abstract 4858: Effect of mTOR activity in peripheral blood mononuclear cells with metformin in high-risk prostate cancer patients receiving external beam radiotherapy and androgen deprivation therapy

2023· article· en· W4362592192 on OpenAlexaff
Febin Antony, Anuraag Shrivastav, Arbind Dubey, Nawaid Usmani, Aldrich Ong, Rashmi Koul, Harvey Quon, Gokulan Sivananthan, William Hunter, Don Yee, Lindsay Rowe, Brita Danielson, Andrew Plesniarski, Ruey‐Chyi Su, Julian O. Kim

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsHealth Sciences CentreUniversity of AlbertaResearch ManitobaCancerCare Manitoba
Fundersnot available
KeywordsMetforminMedicinePI3K/AKT/mTOR pathwayPeripheral blood mononuclear cellProstate cancerPlaceboInternal medicinePopulationAndrogen deprivation therapyEndocrinologyCancerOncologyPharmacologyInsulinBiologyPathologyApoptosis

Abstract

fetched live from OpenAlex

Abstract Introduction: There is considerable interest in the antineoplastic properties of metformin for prostate cancer treatment, however, the underlying mechanism of action of metformin in this setting is poorly understood. It is suspected that metformin’s antineoplastic activity is related to inhibition of mTOR (mammalian target of rapamycin), which ultimately inhibits cell proliferation. In this pilot study, we assessed the mTOR activity of peripheral blood mononuclear cells (PBMCs) from high-risk Prostate cancer (PCa) patients treated with androgen deprivation therapy (ADT) and external beam radiotherapy (EBRT) plus metformin versus placebo. We hypothesized decreased mTOR expression in PBMCs from patients receiving metformin versus placebo. Methods: Normoglycemic adult males with high-risk PCa receiving ADT & EBRT were randomized to metformin 500 mg 3 times daily or placebo. Peripheral blood samples were collected from participants ≥ 6 months after starting study drug, buffy coats were extracted, and PBMCs were isolated ≤2 hours after specimen collection using ficoll-hypaque density gradient method. The mTOR expression was assessed by phosphorylation of serine 2448 (pmTOR; S2448). Activity of mTOR was measured in both unstimulated or stimulated (using CD3/CD28 antibodies) CD4+ and CD8+ T cells. Results: Samples from 15 patients were analyzed (11 placebo & 4 metformin). We observed lower expression of pmTOR in PBMCs in patients receiving metformin compared to placebo indicating metformin demonstrated inhibition of mTOR activity in PBMCs. A general trend of mTOR inhibition was observed in the metformin group across the cell population and conditions (unstimulated vs. stimulated T cell populations). However, the most pronounced difference was observed in unstimulated CD4+ cells, which is of interest since they represent the closest physiological state to the study participants. Conclusion: In this pilot study, we observed mTOR inhibition in the PBMCs of PCa patients treated with metformin. Further assessment of mTOR activity amongst PCa patients receiving metformin is warranted in order to confirm these findings. Citation Format: Febin Antony, Anuraag Shrivastav, Arbind Dubey, Nawaid Usmani, Aldrich Ong, Rashmi Koul, Harvey Quon, Gokulan Sivananthan, William Hunter, Don Yee, Lindsay Rowe, Brita Danielson, Andrew Plesniarski, Ruey-Chyi Su, Julian O. Kim. Effect of mTOR activity in peripheral blood mononuclear cells with metformin in high-risk prostate cancer patients receiving external beam radiotherapy and androgen deprivation therapy. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4858.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.321
Teacher spread0.305 · 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 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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