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Record W2019822560 · doi:10.1002/pros.20234

EGFR and Her-2 regulate the constitutive activation of NF-kappaB in PC-3 prostate cancer cells

2005· article· en· W2019822560 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Prostate · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNF-κB Signaling Pathways
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsDU145LNCaPProstate cancerCancer researchPhosphorylationErbBEpidermal growth factor receptorProstateNF-κBReceptorCancerBiologyMedicineSignal transductionInternal medicineCell biology

Abstract

fetched live from OpenAlex

BACKGROUND: The mechanism through which NF-kappaB (NF-kappaB) is constitutively activated in prostate cancer cells remains unclear. We investigated whether members of the ErbB family of epidermal growth factor receptors (EGFR) are involved in the constitutive activation of NF-kappaB in prostate cancer cell lines. METHODS AND RESULTS: EGFR, Her-2, and ErbB3 are expressed and constitutively activated in PC-3, DU145, and LNCaP prostate cancer cells lines. Using several pharmacological ErbB inhibitors, we demonstrate that EGFR and Her-2 are involved in the constitutive activation of NF-kappaB in PC-3 cells through two different mechanisms. EGFR activates NF-kappaB through the phosphorylation of IkappaBalpha on serines 32/36 thereby influencing the nuclear translocation of the p65 subunit. In contrast, Her-2 activates NF-kappaB independently of IkappaBalpha phosphorylation on serines 32/36. CONCLUSION: This study directly implicates ErbB receptors in the activation of NF-kappaB in PC-3 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.

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 score0.010
Threshold uncertainty score0.274

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 head0.008
GPT teacher head0.238
Teacher spread0.230 · 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