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Darolutamide plus androgen deprivation therapy (ADT) in patients with high-risk biochemical recurrence (BCR) of prostate cancer: A phase 3, randomized, double-blind, placebo-controlled study (ARASTEP).

2025· article· en· W4410809328 on OpenAlexaff
Alicia K. Morgans, Tamim Niazi, Neal D. Shore, Juergen E. Gschwend, Ashley E. Ross, Thomas A. Hope, Alex Chehrazi‐Raffle, S. Supiot, Philippe Barthélémy, Martin Andreas Røder, Andrea Juliana Gomes, Bernardo Herrera‐Imbroda, Matthieu Gratton, Carmen Belen Congregado Ruiz, Heikki Joensuu, Marie‐Aude Le Berre, Miryana Dimova-Dobreva, Iris Kuss, Karim Fizazi

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsCégep de LévisMcGill University
Fundersnot available
KeywordsMedicineAndrogen deprivation therapyProstate cancerPlaceboOncologyInternal medicineBiochemical recurrenceCancerUrologyProstatectomyPathology

Abstract

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TPS5131 Background: Patients with prostate cancer treated with radiotherapy (RT) or radical prostatectomy (RP) as primary therapy may develop BCR – a prostate-specific antigen (PSA) increase with no evidence of metastases on conventional imaging (e.g. magnetic resonance imaging/computed tomography). Prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) is more sensitive than conventional imaging and may detect lesions in patients with BCR that conventional imaging cannot. BCR is an indicator of disease progression and warrants effective treatment to delay further progression, particularly if lesions are detected by PSMA PET/CT. The androgen receptor inhibitor darolutamide is structurally different by design to deliver robust clinical efficacy with a differentiated tolerability profile. In the phase 3 ARAMIS trial, darolutamide significantly improved metastasis-free survival (MFS) and overall survival (OS) in patients with nonmetastatic castration-resistant prostate cancer (nmCRPC). ARASTEP is a phase 3 trial (NCT05794906) evaluating whether darolutamide plus ADT improves radiological progression-free survival (rPFS) by PSMA PET/CT vs placebo plus ADT in patients with high-risk BCR and PSMA PET/CT-positive lesions following primary therapy. Methods: Key eligibility criteria included: prior primary RT or RP ± adjuvant RT (ART) or salvage RT (SRT), with high-risk BCR (PSA doubling time [PSADT] <12 months and PSA ≥0.2 ng/mL after primary RP [± ART/SRT] or PSA ≥2 ng/mL above nadir after primary RT only), ≥1 PSMA PET/CT-positive prostate cancer lesion with no visible lesions on conventional imaging, and serum testosterone ≥150 ng/dL. ARASTEP is planned for 750 patients from 23 countries to be randomized 1:1 to oral darolutamide 600 mg twice daily or placebo, both with ADT, for 24 months or until disease progression, unacceptable toxicity, or withdrawal of consent. During the 24-month treatment period, patients will be monitored for safety every 12 weeks, and every 24 weeks for PSMA PET/CT and conventional imaging events. After 24 months, patients with PSA values ≥0.2 ng/mL will continue study treatment as part of active follow-up until PSMA PET/CT progression is confirmed by blinded independent central review (BICR), followed by long-term follow-up for conventional imaging progression. Patient stratification factors are PSADT (<6 vs ≥6–<12 months), intent to treat baseline PSMA PET/CT lesions with image-guided RT/surgery (Yes vs No), and distant ± locoregional vs locoregional-only lesions. The primary endpoint is rPFS by PSMA PET/CT assessed by BICR. Secondary endpoints include MFS on conventional imaging by BICR, time to CRPC, OS, quality of life, and safety. As of January 2025, 458 patients have been randomized from 220 sites. Clinical trial information: NCT05794906 .

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)0.002
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.064
GPT teacher head0.457
Teacher spread0.394 · 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 designRandomized trial
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

Citations2
Published2025
Admission routes1
Has abstractyes

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