Abstract 732: Using functional and chemical genomics to identify mechanisms of Enzalutamide resistance in prostate cancer
Bibliographic record
Abstract
Abstract Introduction: Enzalutamide is a recently approved potent androgen receptor antagonist for prostate cancer both in the pre- and post-docetaxel settings. Its action relies upon 3 defined mechanisms of action: 1) blocking testosterone binding to the androgen receptor (AR), 2) preventing nuclear translocation of AR, and 3) inhibiting AR-DNA binding. However, despite its utility in prolonged overall survival in both these settings, disease relapse is inevitable, suggesting that resistance to the drug is somehow being acquired and is of vital concern. Methods: Using a combination of high-throughput functional genomic (kinome-shRNA) and chemical genomic (pharmacological inhibitor) screens, along with various in vitro / in vivo assays (proliferation, apoptosis, necrosis, soft agar growth, etc.) we have identified the IkB kinase (IKK) / IkB / NFkB signaling axis as important for acquisition of, and continued resistance to, Enzalutamide. Results: Using a panel of Enzalutamide-resistant and -sensitive cell lines, we show that targeting this signaling axis will selectively kill Enzalutamide-resistant cells while not affecting the proliferation of sensitive cells. Moreover, our data shows that the pharmacological inhibitors and shRNAs are effective even without Enzalutamide administration, negating any potential drug-drug interaction issues. Finally, we have found that our cells are resistant to Enzalutamide in an AR-V7-independent manner, suggesting that NFkB signaling is acting in a novel manner to bring about the resistance phenotype. Conclusions: Through in vitro and in vivo experiments, we provide evidence that targeting activators of NFκB signalling can be a strategy to help patients with Enzalutamide-resistant prostate cancer. Note: This abstract was not presented at the meeting. Citation Format: Sujeeve Jeganathan, Amina Zoubeidi, Martin Gleave, Brad G. Wouters, Anthony M. Joshua. Using functional and chemical genomics to identify mechanisms of Enzalutamide resistance in prostate cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 732. doi:10.1158/1538-7445.AM2015-732
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".