Next generation N-terminal domain androgen receptor inhibitors with improved potency and metabolic stability in castration-resistant prostate cancer models.
Bibliographic record
Abstract
220 Background: EPI-506, pro-drug of EPI-002, was a first-in-class oral small molecule from the Aniten family of compounds, which inhibit androgen receptor (AR) activity by binding to the N-terminal domain of the AR. EPI-506 was tested in a Phase 1 study in men with metastatic castration-resistant prostate cancer (mCRPC) resistant to current therapies and demonstrated a favorable tolerability profile with signs of moderate efficacy. Metabolic vulnerabilities in the chemical scaffold of EPI-506 were identified and new Aniten molecules, EPI-7170 and EPI-7245 , with improved potency, metabolic stability and pharmaceutical properties have been generated. Methods: Chemical structure activity relationships were developed in order to increase molecule potency in cellular and in vivo assays, while metabolic stability improvements were assessed in in vitro ADME assays and in animal pharmacokinetic studies. In addition, the on-target activity and selectivity was also optimized using a variety of cellular experiments. Results: Next generation Anitens demonstrated a 10-20 fold improvement on AR-driven cellular potency, with IC50’s of 0.5-1 uM when compared to 10-12 uM for EPI-002. In vitro proliferation assays demonstrated on target activity, with an IC50 ~ 2 uM in LNCaP and > 10 uM in the AR-independent cell model PC-3. EPI-7170 was also active in AR-V7-driven LNCaP95 cells. The antiproliferative effect was in alignment with the inhibitory effect on a subset of AR driven genes. In vivo activity in castrated mice bearing LNCaP tumors showed tumor growth inhibition of approximately 70%. While EPI-7170 represents a major advance, subsequent chemistry efforts led to the generation of EPI-7245 and other next generation Anitens which exhibit IC50’s < 500 nM and favorable ADME and PK profiles. Conclusions: Promising next-generation Aniten compounds have been identified. Major chemistry efforts led to the identification of several Anitens with > 10-20 fold improvements in cellular potency compared to EPI-506 which are also metabolically stable. IND-selection preclinical studies are underway on the most promising Aniten’s with an IND submission planned shortly.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".