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A ligand-independent androgen receptor function protects from inositol hexakisphosphate-induced cell death

2006· article· en· W2240836645 on OpenAlexaff
Jean‐Simon Diallo, Benjamin Péant, Laurent Lessard, Nathalie Delvoye, C. Le Page, Anne‐Marie Mes‐Masson, Fawzy A. Saad

Bibliographic record

VenueJournal of Clinical Oncology · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytase and its Applications
Canadian institutionsUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsAndrogen receptorLNCaPDU145Programmed cell deathApoptosisCancer researchCell cultureDNA fragmentationProstate cancerAndrogenBiologyMedicineEndocrinologyInternal medicineCancerBiochemistryHormoneGenetics

Abstract

fetched live from OpenAlex

14566 Background: The androgen receptor (AR) is often aberrantly expressed or activated in hormone-refractory (HR) prostate cancer (PCa). Though it is not clear whether this is directly linked to AR expression, various cell survival pathways are over-activated in HR-PCa, which is characterized by its poor clinical outcome and resistance to available therapies. Inositol hexakisphosphate (IP6) is a phytochemical anti-cancer agent, which we have found to be more effective in PCa cell lines that do not express the AR. Our goal was to address the mechanism of IP6-induced cell death and to evaluate if and how the AR may interfere with its activity. Methods: We used LNCaP, DU145, 22Rv1 as well as wild-type PC3 and AR-expressing PC3 (PC3AR) cell lines to assess the metabolic toxicity of IP6 by WST-1 assay in normal, androgen-supplemented, and androgen-depleted cell culture conditions. A siRNA targeting the androgen receptor (AR) was used to control for genuine AR-mediated effects in the PC3/PC3AR cell lines. Apoptosis was quantified using fluorogenic caspase-3 assays as well as quantitative DNA fragmentation assays. Expression of a variety of genes involved in apoptosis and cell survival pathways was evaluated by real time PCR. Results: While the activity of IP6 was not modulated by the presence of androgens for any cell line, PC3AR cells were significantly more resistant to IP6 than wild-type PC3 cells according to WST-1, caspase-3 and DNA fragmentation assays (p < 0.05). Down-regulation of the AR in the PC3AR cell line resulted in increased metabolic toxicity of IP6 on these cells (p < 10 −5 ). Although treatment with IP6 resulted in the up-regulation of the pro-apoptotic genes Puma, Noxa, as well as of IRF-2 and IkB-αλπηα in PC3 cells, this did not occur in PC3AR cells (p < 0.05). Conclusion: We conclude that, at least in PC3/PC3AR, cells IP6 sensitivity is linked to a ligand-independent function of the AR. To our knowledge, this is the first report of a ligand-independent AR function involved in resistance to a cytotoxic compound. Establishing the molecular details of this novel function is a major part of our ongoing research. No significant financial relationships to disclose.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.611
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.077
GPT teacher head0.344
Teacher spread0.268 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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