IND candidate EPI-7386 as an N-terminal domain androgen receptor inhibitor in development for the treatment of prostate cancer.
Bibliographic record
Abstract
142 Background: The androgen receptor (AR) pathway drives most metastatic castration-resistant prostate cancers (mCRPC) even in late stages of the disease. Anti-androgen resistance mechanisms include AR gene amplification, C-terminal ligand-binding domain (LBD) mutations and expression of constitutively active AR splice variants lacking the LBD (e.g. AR-V7). Selective inhibition of the N-terminal domain (NTD) of the AR can inhibit its’ transcriptional activity even in the presence of LBD-driven resistance. In a phase I trial, the first-generation AR NTD inhibitor (aniten) EPI-002, demonstrated minor PSA declines in mCRPC patients. The efficacy and safety profile of second generation aniten IND-candidate EPI-7386 will be presented. Methods: Novel aniten chemical structures were developed to increase molecule potency using a wide variety of CRPC models. Similarly, the stability and selectivity of the molecule were characterized with screening and functional assays. IND-enabling studies further support the compounds’ safety profile. Results: EPI-7386 demonstrated a 20-fold improvement in AR-driven cellular potency compared to EPI-002, while being highly stable in human hepatocytes and across animal species. In vitro proliferation assays demonstrated on-target activity across a panel of prostate cancer cell lines, with activity in AR-V7-driven cellular models. EPI-7386 was able to induce tumor regression in CRPC xenografts and show superiority to enzalutamide (ENZ) in ENZ resistant models. In addition, the combination of ENZ with EPI-7386 demonstrated a more robust antitumor response. IND-enabling studies demonstrate a safe and well-tolerated profile supporting an IND filing in 1Q 2020. Pharmacodynamic markers specific to anitens will be presented, in addition to early clinical development plans. Conclusions: The next generation aniten compound EPI-7386 is more active and metabolically stable than EPI-002. It demonstrated potential as a single agent in overcoming anti-androgen clinical resistance as well as in combination therapy in earlier stages of the disease. The clinical strategy supporting the development of this new generation of aniten will be discussed.
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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) | 0.003 | 0.001 |
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.
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".