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TRIPLE-SWITCH (SWOG/CCTG-PR26): A randomized phase III clinical trial for the addition of docetaxel to androgen receptor pathway inhibitors in patients with metastatic castration sensitive prostate cancer (mCSPC) and suboptimal PSA response (NCT06592924).

2025· article· en· W4410809397 on OpenAlexafffund
Michael Ong, Alexandra Sokolova, Sebastién J. Hotte, Tanya B. Dorff, Kim N., Alexander W. Wyatt, Amir Goldkorn, Michael Kolinsky, Michael Brundage, Akunne Ndika, Seth P. Lerner, Wendy R. Parulekar, Keyue Ding, Mariam Jafri

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsMcMaster UniversityJuravinski Cancer CentreQueen's UniversityUniversity of British ColumbiaOttawa Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicineDocetaxelProstate cancerOncologyAndrogen receptorInternal medicineClinical trialCancer

Abstract

fetched live from OpenAlex

TPS5129 Background: Management of patients (pts) with mCSPC remains a challenge due to its incurable nature and heterogeneous response to androgen deprivation therapy (ADT) and androgen receptor pathway inhibitors (ARPI). Recent analyses of phase III ADT + ARPI trials show that mCSPC with suboptimal PSA response (≥0.2ng/ml at 6-12 months) have poor prognosis, short time to castration-resistance (CRPC) and 30-36 month median overall survival (OS). While docetaxel could also be utilized in mCSPC, there is equipoise about its use in ARPI-treated pts because of 1) an absence of randomized data for docetaxel in this setting, 2) toxicity of docetaxel with impact on quality of life for pts, and 3) selection of docetaxel treatment by disease volume rather than disease biology. CCTG-PR26 (TRIPLE-SWITCH) is a joint CCTG-SWOG trial run through the NCI National Clinical Trials Network. This study investigates whether adding docetaxel prior to development of CRPC, regardless of disease volume, will improve OS in ARPI-treated mCSPC pts that show evidence of suboptimal response. Methods: This international, open-label, randomized phase III trial compares standard ADT + ARPI against the addition of docetaxel to ADT + ARPI in mCSPC pts with suboptimal PSA response, defined as PSA ≥0.2 ng/mL after 6-12 months of ADT and ≥4 months of ARPI. Stratification will be based on PSA levels, ARPI type, presence of liver metastasis, disease recurrence status, and time since ADT initiation. Arm 1 will continue standard ADT + ARPI (abiraterone acetate with prednisone, apalutamide, enzalutamide or darolutamide). Arm 2 will receive docetaxel 75mg/m 2 IV every 3 weeks for up to 6 cycles in addition to continuing standard ADT + ARPI. Sample size is 830 pts in order to detect a targeted 33% improvement in overall survival (hazard ratio 0.75) using a 1-sided 0.025 level test with 85% power. Key eligibility criteria are: ≥18 years, histologically confirmed prostate adenocarcinoma, metastatic disease present and confirmed by conventional imaging (CT and/or bone scan), PSA ≥5.0 ng/mL prior to ADT, receipt of ADT for 6-12 months and ARPI for ≥4 months, PSA ≥0.2 ng/mL within 14 days of enrolment, adequate organ and marrow function, ECOG performance status 0-2, eligible for docetaxel chemotherapy, no evidence of disease progression or biochemical progression on ADT prior to enrolment. Primary endpoint is overall survival. Secondary endpoints include PSA response, PSA kinetics, and clinical progression free-survival. Correlative studies will explore the prognostic and predictive value of circulating tumor DNA (ctDNA) and the association between molecular signatures in primary prostate cancer tissue and clinical outcomes. Enrolment has been initiated in January 2025 and is ongoing. Clinical trial information: NCT06592924 .

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 score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0130.002

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 head0.093
GPT teacher head0.490
Teacher spread0.397 · 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

Citations4
Published2025
Admission routes2
Has abstractyes

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