234 TARGETING STAT5 DEGRADES ANDROGEN RECEPTOR VIA THE PROTEASOME AND PROLONGS TIME TO TUMOR PROGRESSION POST CASTRATION IN VIVO
Bibliographic record
Abstract
You have accessJournal of UrologyProstate Cancer: Basic Research II1 Apr 2010234 TARGETING STAT5 DEGRADES ANDROGEN RECEPTOR VIA THE PROTEASOME AND PROLONGS TIME TO TUMOR PROGRESSION POST CASTRATION IN VIVO Christian Thomas, Amina Zoubeidi, Hidetoshi Kuruma, Brett Monia, Youongsoo Kim, Robert MacLeod, and Martin E. Gleave Christian ThomasChristian Thomas Vancouver, Canada More articles by this author , Amina ZoubeidiAmina Zoubeidi Vancouver, Canada More articles by this author , Hidetoshi KurumaHidetoshi Kuruma Vancouver, Canada More articles by this author , Brett MoniaBrett Monia Carlsbad, CA More articles by this author , Youongsoo KimYouongsoo Kim Carlsbad, CA More articles by this author , Robert MacLeodRobert MacLeod Carlsbad, CA More articles by this author , and Martin E. GleaveMartin E. Gleave Vancouver, Canada More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2010.02.292AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Signal transducer and activator of transcription 5 (STAT5) plays an important role in the transition of prostate cancer (PCa) to its hormone-refractory state. We hypothesize that pharmacological targeting of the active JAK2-STAT5 pathway may be a promising tool to delay clinical PCa progression, in part because STAT5 cooperates with androgen receptor (AR) to promote PCa progression. METHODS LNCaP, C4-2 and DU145 were transfected with control scramble (ScrB) or STAT5 antisense oligonucleotide (ASO) and submitted to westernblot, qRT-PCR and immunofluorescence analysis. LNCaP and C4-2 cells were transfected with STAT5 ASO or ScrB and tested for their ability to modulate PSA transactivation by luciferase assay. Cell viability was assessed by crystal violet and cell cycle by FACS analysis. AR stability was evaluated by cyclohexamide and MG132 treatment. Athymic male mice bearing LNCaP xenografts were castrated and randomly assigned to treatment with STAT5-ASO or control ScrB 12.5 mg/kg 3x weekly intraperitoneal. Tumor volume and serum prostate-specific antigen (PSA) were evaluated weekly. RESULTS STAT5 ASO potently inhibits STAT5 expression in LNCaP, C4-2 and DU145 at concentration as low as 30nM. Inhibition of STAT5 expression was accompanied by significantly decreased cell proliferation at 30nM (32.8-55.6%) and 50nM (60.3-70.6%) and significantly increased apoptotic rates at same concentrations (6.1-9.5% and 25.8-53.4%). Moreover, STAT5 knockdown abrogates androgen-induced AR nuclear translocation and PSA transactivation. Interestingly STAT5 knockdown decreases AR stability and induces AR degradation via the proteasome. Finally, targeting STAT5 in vivo delayed time to castrate resistant progression in LNCaP xenograft model. CONCLUSIONS This study reports, for the first time, preclinical proof-of-principle that STAT5 knockdown reduces AR levels and activity, and delays tumor progression of prostate cancer in vivo. © 2010 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 183Issue 4SApril 2010Page: e91-e92 Advertisement Copyright & Permissions© 2010 by American Urological Association Education and Research, Inc.MetricsAuthor Information Christian Thomas Vancouver, Canada More articles by this author Amina Zoubeidi Vancouver, Canada More articles by this author Hidetoshi Kuruma Vancouver, Canada More articles by this author Brett Monia Carlsbad, CA More articles by this author Youongsoo Kim Carlsbad, CA More articles by this author Robert MacLeod Carlsbad, CA More articles by this author Martin E. Gleave Vancouver, Canada More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".