MétaCan
Menu
Back to cohort

PSA and alkaline phosphatase changes in the EORTC-1333 PEACE-3 study evaluating the addition of six cycles of radium 223 in metastatic castration-resistant prostate cancer (mCRPC) starting enzalutamide.

2025· article· en· W4410811543 on OpenAlexaff
Ananya Choudhury, Silke Gillessen, Fred Saad, Enrique Gallardo Díaz, Andrey Soares, Yohann Loriot, Alejo Rodríguez‐Vida, Pedro Isaacsson Velho, Franco Nolè, Felipe Cavalcanti Carneiro da Silva, Thierry Andre Roumeguere, Gedske Daugaard, Rosely Yamamura, Coralie Poncet, Corneel Coens, Béatrice Fournier, Bertrand Tombal

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsEnzalutamideProstate cancerMedicineRadium-223Alkaline phosphataseOncologyInternal medicineCancerRadiumUrologyCancer researchEnzymeAndrogen receptorBone metastasisBiochemistryRadiochemistryBiologyChemistry

Abstract

fetched live from OpenAlex

5062 Background: The EORTC/UNICANCER/CTI/CUOG/LACOG Peace 3 showed that adding Ra233 to enzalutamide significantly improves investigator-assessed progression-free survival (PFS) and overall survival (OS) in mCRPC with bone metastases. We examined the effect of the combination on the decline in prostate-specific antigen (PSA) and alkaline phosphatase (ALP). Methods: From 11/2015 to 03/2023, 446 men with mCRPC and bone metastasis were randomized 1:1 to enzalutamide alone (ENZ) or combined with 6 cycles of Ra223 (ENZ-RAD). The PSA/ALP response rate is estimated at 6/12 months based on the drop from baseline in all PSA/ALP evaluable patients. For PSA, any decline ≥ 50 or 90% from baseline is considered a PSA response. For ALP, any decline of ≥30% from baseline is regarded as a response. Each response needed to be confirmed by a second evaluation at least three weeks later. Time to response is from treatment start until the first date a response was observed. ALP normalization is a decline to ≤ 115 U/L in patients with baseline ALP >115 U/L. Results: PSA: The baseline median (Q1-Q3) for ENZ-RAD was 24.0 (7.8-68.8) ng/dl, and 21.4 (8.0-57.6) ng/ml for ENZ. The median time (95%CI) to a PSA response > 50% in months (mo.) was 2.79 (2.56-3.02) in the ENZ-RAD arm and 2.76 (2.63-2.79) in the ENZ arm (HR (95%CI) 1.00 (0.80-1.24)). PSA response rates ≥50% at 6 and 12 months were 77.1% (145/188) and 76.8% (109/142) in the ENZ-RAD arm, compared to 69.9% (127/182) and 66.2% (88/133) in the ENZ arm. The median time (95%CI) to a PSA response ≥ 90% in mo. was 1.87 (1.44-2.53) in the ENZ-RAD arm and 7.44 (3.67-NE) in the ENZ arm (HR (95%CI 1.48 (1.13-1.93)). PSA response rates ≥90% at 6 and 12 mo. were 50.5% (95/188) and 54.9% (78/142) in the ENZ-RAD arm, compared to 34.1% (62/182) and 37.6% (50/133) in the ENZ arm. ALP: The baseline median (Q1-Q3) ALP in the ENZ-RAD arm was 106 (78-183) UI/L, and in the ENZ arm, 124.5 (85-216). In the ENZ/RAD and ENZ arms, 45.6% (99/217) and 54.4% (122/224) of patients had ALP ≥ 115 UI/L at baseline. The ENZ-RAD arm had a median time (95%CI) to ALP response > 30% of 2.40 (1.97-2.79) mo., while the ENZ arm had a median of 3.71 (2.83-5.49) mo. (HR (95%CI) 1.42 (1.13-1.80)). ALP >30% response rates at 6 and 12 mo. were 56.5% (108/191) and 50.0% (71/142) in ENZ-RAD and 50.8% (93/183) and 47.4% (63/133) in ENZ. The median (95%CI) time to ALP normalization in the ENZ-RAD arm is 1.97 (1.87-2.50) mo. and 4.47 (2.99-14.06) mo. In the ENZ arm(HR 1.42 (1.13-1.80)). At 6 and 12 mo., the ENZ-RAD arm ALP normalization rates were 76.2 (64/84) and 77.4 (41/53), while 50.5% (47/93) and 61.3% (38/62) in the ENZ arm. Conclusions: The addition of six cycles of RA 223 to enzalutamide in the PEACE-3 trial improves PSA response time and rates (≥90%), ALP reduction time (≥30%), and ALP normalization time and rates at 6 and 12 months. Clinical trial information: NCT02194842 .

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.224
GPT teacher head0.559
Teacher spread0.335 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical OncologySame topicRadiopharmaceutical Chemistry and ApplicationsFrench-language works237,207