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Record W1969241521 · doi:10.1074/jbc.m108255200

Activation of the Androgen Receptor N-terminal Domain by Interleukin-6 via MAPK and STAT3 Signal Transduction Pathways

2002· article· en· W1969241521 on OpenAlexaff
Takeshi Ueda, Nicholas Bruchovsky, Marianne D. Sadar

Bibliographic record

VenueJournal of Biological Chemistry · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsBC Cancer Agency
FundersMedical Research and Materiel CommandNational Institute of Diabetes and Digestive and Kidney DiseasesU.S. ArmyNational Institutes of HealthU.S. Department of Defense
KeywordsLNCaPMAPK/ERK pathwayAndrogen receptorSignal transductionTransactivationPhosphorylationCancer researchCell biologyProtein kinase AChemistryBiologyProstate cancerEndocrinologyInternal medicineTranscription factorMedicineBiochemistryCancer

Abstract

fetched live from OpenAlex

The androgen receptor (AR) is a ligand-activated transcription factor that mediates the biological responses of androgens. However, non-androgenic pathways have also been shown to activate the AR. The mechanism of cross-talk between the interleukin-6 (IL-6) and AR signal transduction pathways was investigated in LNCaP human prostate cancer cells. IL-6 induced several androgen-response element-driven reporters that are dependent upon the AR, increased the phosphorylation of mitogen-activated protein kinase (MAPK), and activated the AR N-terminal domain (NTD). Inhibitors to MAPK and JAK decreased the IL-6-induced phosphorylation of MAPK and activation of the AR NTD. Immunoprecipitation and transactivation studies showed a direct interaction between amino acids 234-558 of the AR NTD and STAT3 following IL-6 treatment of LNCaP cells. These results demonstrate that activation of the human AR NTD by IL-6 was mediated through MAPK and STAT3 signal transduction pathways in LNCaP prostate cancer cells.

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 categoriesnone
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 score0.004
Threshold uncertainty score0.283

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)0.0000.000

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 head0.010
GPT teacher head0.204
Teacher spread0.194 · 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.

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

Citations381
Published2002
Admission routes1
Has abstractyes

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