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Record W2316794472 · doi:10.1016/j.juro.2013.02.574

992 A PARACRINE HEDGEHOG SIGNALING MICROENVIRONMENT IN ADT-TREATED PROSTATE TUMORS INDUCES STEROIDOGENESIS FROM BENIGN PROSTATE STROMAL CELLS

2013· article· en· W2316794472 on OpenAlexaboutno aff
Amy A. Lubik, Emma Tomlinson Guns, Hans Adomat, Ralph Buttyan

Bibliographic record

VenueThe Journal of Urology · 2013
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsnot available
Fundersnot available
KeywordsParacrine signallingStromal cellProstate cancerMedicineHedgehogCancer researchHedgehog signaling pathwayAndrogenAndrogen receptorAndrogen deprivation therapyTumor microenvironmentInternal medicineEndocrinologyProstateSonic hedgehogCancerBiologySignal transductionCell biologyHormoneReceptor

Abstract

fetched live from OpenAlex

You have accessJournal of UrologyProstate Cancer: Basic Research (V)1 Apr 2013992 A PARACRINE HEDGEHOG SIGNALING MICROENVIRONMENT IN ADT-TREATED PROSTATE TUMORS INDUCES STEROIDOGENESIS FROM BENIGN PROSTATE STROMAL CELLS Amy Lubik, Emma Guns, Hans Adomat, and Ralph Buttyan Amy LubikAmy Lubik Vancouver, Canada More articles by this author , Emma GunsEmma Guns Vancouver, Canada More articles by this author , Hans AdomatHans Adomat Vancouver, Canada More articles by this author , and Ralph ButtyanRalph Buttyan Vancouver, Canada More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2013.02.574AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Androgen deprivation therapy (ADT) induces the expression and release of Hedgehog ligands (Hhs) from prostate cancer (PCa) cells. Previously we showed that treatment of primary human prostate stromal cells (PrSCs) with an HH agonist (SAG) increased the expression of steroidogenic genes and enabled them to significantly increase production of testosterone (T) when fed with DHEA, an adrenal precursor. We proposed that a paracrine HH microenvironment in ADT-treated PCas contribute to intratumoral steroidogenesis through this process. Here we show that steroidogenic activity of PrSCs is induced by alternate HH agonists and better describe the steroidogenic process leading to androgen production in PrSCs induced by paracrine HH. METHODS Human primary PrSCs (Clonetics) were grown in recommended medium. PrSCs were pre-starved of serum to induce primary cilia formation, then treated with 1 nM Ag1.5 (a HH agonist) for 48 hrs. Expression of steroidogenic genes was measured by quantitative PCR. Outputs of steroids from vehicle- or agonist-treated PrSC cells fed 22 OH-cholesterol were measured by LC/MS/MS. The HH antagonist, KAAD-cyclopamine (100 nM) or an HMGR inhibitor (simvastatin) was used to block the PrSC response to Ag1.5 or to inhibit active Hh release from Sonic Hh producing LNCaP cells. RESULTS Ag1.5 is as effective as 100 nM SAG in inducing expression of steroidogenic genes in PrSCs. Outputs of progesterone, DHEA, androsterone, T, or dihydrotestosterone (DHT) from 22 OH-cholesterol was significantly increased by Ag1.5. The effects of Ag1.5 on the expression of these genes was blocked by KAAD-cyclopamine. The ability of Ag1.5 to induce RDH5 expression and androsterone production show that the DHT output from PrSCs was a consequence of increased classical and backdoor pathway activities. Steroid outputs from HH-induced PrSCs was significantly higher (on a weight-per-weight basis) than production from parental LNCaP or the androgen growth-independent LNCaP-AI cells. Simvastatin reduced the release of active Hhs from LNCaP-Sonic Hh producing cells as measured by the reduced ability of conditioned medium from treated cells to induce steroidogenic genes in PrSCs. CONCLUSIONS Our results further confirm the potential of a paracrine HH signaling microenvironment of ADT-treated prostate tumor to induce steroidogenesis and androgen production from benign PrSCs. Outcomes show that a HH antagonist or cholesterol synthesis inhibitor might block the effects of paracrine HH in an ADT-treated tumor and delay progression to CRPC. © 2013 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 189Issue 4SApril 2013Page: e407 Advertisement Copyright & Permissions© 2013 by American Urological Association Education and Research, Inc.MetricsAuthor Information Amy Lubik Vancouver, Canada More articles by this author Emma Guns Vancouver, Canada More articles by this author Hans Adomat Vancouver, Canada More articles by this author Ralph Buttyan Vancouver, Canada More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.018
GPT teacher head0.254
Teacher spread0.237 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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