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Impact of activating androgen receptor (AR) mutations on AR sensitivity to alternative ligands and response to ODM-208, a selective, first-in-class CYP11A1 inhibitor, in patients with advanced metastatic castration-resistant prostate cancer (mCRPC).

2022· article· en· W4286293775 on OpenAlexaff
Alice Bernard‐Tessier, Tapio Utriainen, Natalie Cook, Philippe Barthélémy, Nada Lallous, Martin Gleave, Tarja Ikonen, Reetta Riikonen, Pasi Pohjanjousi, Chris Garratt, Karim Fizazi

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCholesterol side-chain cleavage enzymeAndrogen receptorCYP17A1MedicineInternal medicineEndocrinologyAndrogenPregnenoloneGlucocorticoid receptorPharmacologyHormoneSteroidCYP3A4ChemistryReceptorProstate cancerCytochrome P450EnzymeCancerBiochemistry

Abstract

fetched live from OpenAlex

5057 Background: Activating AR mutations ensure a continued AR activation by non-androgen steroid ligands, e.g. progesterone and glucocorticoids. CYP11A1 is the only enzyme that catalyzes the conversion of cholesterol to pregnenolone, from which all steroid hormones (glucocorticoids, mineralocorticoids, and sex steroids) are subsequently derived. ODM-208, an oral, selective inhibitor of CYP11A1, is being evaluated for safety and efficacy as a treatment of mCRPC in the ongoing CYPIDES phase I/II trial in men previously treated with both novel hormonal therapies and taxanes (ClinicalTrials.gov identifier: NCT03436485). Preliminary phase 1 results were previously reported (Fizazi K et al., ASCO GU 2022). Here we confirm that the in-vitro sensitivity of common AR mutations to ODM-208 treatment is mirrored in patient response in CYPIDES phase 1. Methods: ODM-208 was administered at daily doses between 6-150 mg (phase 2 dose: 10 mg) with dexamethasone and fludrocortisone, resulting in maximal suppression in all measured steroids at all doses. AR ligand-binding domain (LBD) mutations (L702H, V716M, W742L, W742C, H875Y, F877L, T878A, T878S, M896T, M896V) were assessed using a BEAMing assay (Sysmex Inostics) from plasma circulating cell-free DNA (cfDNA) collected before the first dose of ODM-208. The activation of wild-type (wt) and LBD mutated AR with various ligands was also studied in vitro using a luciferase reporter assay in AR negative PC3 cells. Results: 17 of 44 patients had at least one AR activating mutation, the most frequent being L702H (n = 11), T878A (n = 10), and H875Y (n = 6). Eleven out of the 16 evaluable patients (68%) with an AR LBD mutation achieved ≥50% reduction in serum PSA compared with 2 out of the 24 evaluable patients (8%) without an AR LBD mutation (P <.0001). The in vitro sensitivity of each of these common AR mutations to a variety of non-androgenic steroids will be presented, along with detailed PSA responses, duration of responses, and safety in mCRPC patients bearing the same mutations. Conclusions: AR activating mutations may permit continued hormone dependence in mCRPC, related to actions of non-androgenic steroid hormones. Treatment with ODM-208 blocked all steroid hormone production and resulted in frequent ≥50% PSA reductions in this group of heavily pretreated mCRPC pts with various AR LBD mutations, some being long-lasting. cfDNA AR mutations are a promising predictive biomarker for ODM-208 efficacy. Dexamethasone did not activate mutated ARs, supporting its selection for glucocorticoid replacement therapy in combination with ODM-208. Clinical trial information: NCT03436485.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.053
GPT teacher head0.445
Teacher spread0.393 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2022
Admission routes1
Has abstractyes

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