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Record W2537989070 · doi:10.1016/j.celrep.2016.09.064

Androgen Receptor Tumor Suppressor Function Is Mediated by Recruitment of Retinoblastoma Protein

2016· article· en· W2537989070 on OpenAlexaff
Shuai Gao, Yanfei Gao, Housheng Hansen He, Dong Han, Wanting Han, Amy Avery, Jill A. Macoska, Xiaming Liu, Sen Chen, Fen Ma, Shaoyong Chen, Steven P. Balk, Changmeng Cai

Bibliographic record

VenueCell Reports · 2016
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
FundersNational Cancer InstituteNational Institutes of HealthU.S. Department of Defense
KeywordsAndrogen receptorRepressorRetinoblastoma proteinPsychological repressionBiologyCancer researchProstate cancerHyperphosphorylationGeneRetinoblastomaActivator (genetics)Transcription factorTranscription (linguistics)Cyclin-dependent kinaseCell growthAndrogenCell cycleCell biologyKinaseGene expressionEndocrinologyCancerGenetics

Abstract

fetched live from OpenAlex

Although well characterized as a transcriptional activator that drives prostate cancer (PCa) growth, androgen receptor (AR) can function as a transcriptional repressor, and high-level androgens can suppress PCa proliferation. The molecular basis for this repression activity remains to be determined. Genes required for DNA replication are highly enriched among androgen-repressed genes, and AR is recruited to the majority of these genes, where it rapidly represses their transcription. This activity is enhanced in PCa cells expressing high AR levels and is mediated by recruitment of hypophosphorylated retinoblastoma protein (Rb). Significantly, AR also indirectly increases the expression of DNA replication genes through stimulatory effects on other metabolic genes with subsequent CDK activation and Rb hyperphosphorylation. In castration-resistant PCa cells, which are dependent on high-level AR expression, this anti-proliferative repression function might be exploited through treatment with androgen in combination with agents that suppress AR-driven metabolic functions or cell cycle progression.

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)0.000
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 score0.070
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.028
GPT teacher head0.280
Teacher spread0.252 · 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

Citations102
Published2016
Admission routes1
Has abstractyes

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