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Record W2554916046 · doi:10.1158/0008-5472.can-16-1204

Androgen-Dependent Repression of ERRγ Reprograms Metabolism in Prostate Cancer

2016· article· en· W2554916046 on OpenAlexafffund
Étienne Audet‐Walsh, Tracey Yee, Shawn McGuirk, Mathieu Vernier, Carlo Ouellet, Julie St‐Pierre, Vincent Giguère

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsMcGill UniversityMcGill University Health Centre
FundersCanadian Institutes of Health ResearchTerry Fox Research Institute
KeywordsProstate cancerCancer researchProstateAndrogen receptorCancerBiologyAndrogenCancer cellEndocrinologyInternal medicineMedicineHormone

Abstract

fetched live from OpenAlex

How androgen signaling contributes to the oncometabolic state of prostate cancer remains unclear. Here, we show how the estrogen-related receptor γ (ERRγ) negatively controls mitochondrial respiration in prostate cancer cells. Sustained treatment of prostate cancer cells with androgens increased the activity of several metabolic pathways, including aerobic glycolysis, mitochondrial respiration, and lipid synthesis. An analysis of the intersection of gene expression, binding events, and motif analyses after androgen exposure identified a metabolic gene expression signature associated with the action of ERRγ. This metabolic state paralleled the loss of ERRγ expression. It occurred in both androgen-dependent and castration-resistant prostate cancer and was associated with cell proliferation. Clinically, we observed an inverse relationship between ERRγ expression and disease severity. These results illuminate a mechanism in which androgen-dependent repression of ERRγ reprograms prostate cancer cell metabolism to favor mitochondrial activity and cell proliferation. Furthermore, they rationalize strategies to reactivate ERRγ signaling as a generalized therapeutic approach to manage prostate cancer. Cancer Res; 77(2); 378-89. ©2016 AACR.

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)0.002
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 score0.432
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.094
GPT teacher head0.453
Teacher spread0.358 · 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".

Quick stats

Citations82
Published2016
Admission routes2
Has abstractyes

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