Abstract 623: CLU inhibition using OGX-011 is a new adjuvant therapeutic strategy for HSP90 inhibition in prostate cancer
Bibliographic record
Abstract
Abstract Introduction and Objective: Prostate cancer (PCa) responds initially to anti-androgen therapies, however, progression to castration resistant disease (CRPC) frequently occurs. Several small molecule inhibitors of HSP90 show promise in CRPC and other cancers. However, most HSP90 inhibitors (17-AAG or PF-04928473 and its prodrug PF-04929113) trigger the elevation of HSPs (HSP90, 70, 27 and clusterin), which lead to tumor cell survival and treatment resistance. We hypothesized that targeting clusterin (CLU) using siRNA or the antisense drug, OGX-011, may enhance HSP90 inhibitors-induced cell death in PCa. Methods: Inducible and constitutive CLU and other HSP mRNA and protein levels were measured by real-time RT-PCR and immunoblot assays. The combination of OGX-011 with PF-04928473 or 17-AAG was evaluated in vitro on LNCaP and PC3 cells growth and apoptosis. The HSP90 inhibitor PF-04929113 was evaluated in combination with OGX-011 in vivo in athymic mice bearing castration resistant LNCaP xenografts, while the combination of OGX-011 with 17-AAG was evaluated in PC3 xenografts. Results: In prostate tumor cell lines, PF-04928473 and 17-AAG induced expression of HSPs in a dose and time dependent manner, and especially CLU at RNA and protein level, by increasing HSF-1 nuclear translocation and transcription activity. In vitro, OGX-011 synergistically enhanced the activity of HSP90 inhibitors on cell growth and apoptosis with increased sub-G1 fraction and PARP cleavage. These biologic events were accompanied by decreased expression of HSPs, Akt, AR and PSA, and HSF-1 transcriptional activity. In vivo, OGX-011, administered 3 times a week (IP, 15mg/kg), potentiated the effect of orally administered HSP90 inhibitors (PF-04929113: 25mg/kg; 17-AAG: 50mg/kg), significantly inhibiting tumor growth by 80% and prolonging survival in PC3 and castrate resistant LNCaP xenograft model compared to the HSP90 inhibitors alone. Conclusions: These results indicate that HSP90 inhibitor-mediated induction of CLU expression can be attenuated by OGX-011, with synergistic effects on delaying progression of CRPC. This work was supported by the Canadian Institutes of Health Research fellowship and Association pour la Recherche sur le Cancer, France. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 623. doi:10.1158/1538-7445.AM2011-623
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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 teacher head, 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".