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Record W2887266288 · doi:10.1158/1538-7445.am2018-3269

Abstract 3269: Metformin to prevent metabolic syndrome associated with androgen deprivation therapy (ADT): Metabolic analysis from a placebo-controlled study of metformin in non-diabetic men initiating ADT for advanced prostate cancer (PCa)

2018· article· en· W2887266288 on OpenAlexaff
Devalingam Mahalingam, Salih Hanni, Christos Fountzilas, Joel Michalek, John Sarantopoulos, Sureshkumar Mulampurath Achuthan Pillai, John G. Kuhn, Michaël Pollak, Ian M. Thompson

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsConcordia UniversityMcGill University
Fundersnot available
KeywordsMetforminMedicineInternal medicineInsulin resistanceEndocrinologyMetabolic syndromeHyperinsulinemiaPlaceboInsulinCohortProstate cancerDiabetes mellitusCancer

Abstract

fetched live from OpenAlex

Abstract Background: ADT results in metabolic syndrome, characterized by hyperinsulinemia, insulin resistance and obesity. The hyperinsulinemia may result in ADT resistance; therefore preventing metabolic syndrome could have a therapeutic impact on PCa. Metformin decreases glucose & insulin by inhibiting hepatic gluconeogenesis. There is preclinical evidence for additional antineoplastic activity due to mTOR inhibition secondary to AMPK activation. Methods: We analyzed serum and PBMC from a recently completed clinical study of men with advanced PCa on ADT that were randomized 1:1 to metformin at 500mg TID or color matched placebo. Subjects serum insulin/glucose, metformin levels, weight and waist circumference (WC) was assessed at baseline, week 12 and 28. The primary endpoint of study was the metabolic consequences of metformin vs placebo cohort. Secondary endpoints were PSA response and PBMC analysis of downstream target of mTOR, phospho-S6 kinase. Results: There were 36 evaluable men. The mean age on study was 68.4. Mean weight, WC and insulin at baseline in metformin cohort was 187 lbs, 41.14 cm and 10.03 mIU/L respectively, and 177.65 lbs, 40.52 cm and 8.02 mIU/L in placebo cohort. An increase in mean weight, WC and insulin levels was seen in both cohorts. At week 12 and 28, no statistical difference in weight, WC and insulin was observe in either cohort. Four men randomized to metformin had undetectable serum drug levels despite drug-diary suggesting compliance; excluding them did not result in significant metabolic change. Assessing efficacy, 50% in metformin and 53.3% in placebo cohort achieved undetectable PSA at week 28; difference not statistically significant. PBMC analysis demonstrated variable down-regulation of phospho-S6 kinase in the metformin cohort. Conclusion: This study detected no impact of MET addition to ADT on the risk of metabolic syndrome and no additional anti-tumor effects. Control of hyperinsulinemia related to diabetes by MET does not necessarily imply MET has a similar action on hyperinsulinemia due to ADT. Citation Format: Devalingam Mahalingam, Salih Hanni, Christos Fountzilas, Joel Michalek, John Sarantopoulos, Sureshkumar Mulampurath Achuthan Pillai, John Kuhn, Michael Pollak, Ian Thompson. Metformin to prevent metabolic syndrome associated with androgen deprivation therapy (ADT): Metabolic analysis from a placebo-controlled study of metformin in non-diabetic men initiating ADT for advanced prostate cancer (PCa) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3269.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.030
GPT teacher head0.362
Teacher spread0.332 · 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 designRandomized trial
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
Published2018
Admission routes1
Has abstractyes

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