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PSMAfore: A phase 3 study to compare <sup>177</sup>Lu-PSMA-617 treatment with a change in androgen receptor pathway inhibitor in taxane-naïve patients with metastatic castration-resistant prostate cancer.

2022· article· en· W4213328782 on OpenAlexaff
Oliver Sartor, Michael J. Morris, Kim N., Johann S. de Bono, Neal D. Shore, Michael J. Crosby, Teri Kreisl, Karim Fizazi

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsMedicineEnzalutamideProstate cancerTaxaneGlutamate carboxypeptidase IIAndrogen receptorInternal medicineAndrogen deprivation therapyUrologyOncologyAndrogenCancer researchCancerHormoneBreast cancer

Abstract

fetched live from OpenAlex

TPS211 Background: [177Lu]Lu-PSMA-617 (177Lu-PSMA-617) is a high-affinity prostate-specific membrane antigen (PSMA)-targeted radioligand therapy that delivers β-particle radiation to PSMA-expressing cells and their surrounding microenvironment. In the phase 3 VISION trial, 177Lu-PSMA-617 significantly prolonged radiographic progression-free survival (rPFS) and overall survival (OS) in patients with metastatic castration-resistant prostate cancer (mCRPC) previously treated with ≥1 androgen receptor pathway inhibitor (ARPI) and 1–2 taxanes. PSMAfore is investigating the effect on rPFS in taxane-naïve patients with mCRPC treated with either 177Lu-PSMA-617 or a change in ARPI. Methods: PSMAfore (NCT04689828) is a multicenter, open-label, randomized phase 3 trial in adults with progressive mCRPC and confirmed PSMA expression by [68Ga]Ga-PSMA-11 PET/CT. Eligible patients are taxane-naïve in the metastatic setting and have: received one prior ARPI and are candidates for a change in ARPI; an Eastern Cooperative Oncology Group performance status of 0 or 1; a castrate level of serum/plasma testosterone ( < 50 ng/dL or < 1.7 nmol/L); and recovered to grade ≤2 from toxicities related to prior therapies. Approximately 450 patients will be randomized 1:1 to receive 177Lu-PSMA-617 (7.4 GBq i.v. every 6 weeks for 6 cycles) or a change in ARPI to either abiraterone or enzalutamide. Best supportive care is allowed in both arms. Stratification factors are prior ARPI use in castration-resistant vs hormone-sensitive prostate cancer settings and pain symptomatology (score 0–3 vs 4–10 on the worst pain intensity item of the Brief Pain Inventory–Short Form). The primary endpoint is rPFS according to PCWG3-modified RECIST v1.1 criteria. Participants with blinded independent centrally confirmed radiographic progression in the ARPI arm can crossover to the 177Lu-PSMA-617 arm. The planned sample size provides 95% power to detect a hazard ratio of 0.56 for rPFS after 156 events with an overall one-sided significance level of 0.025. The key secondary endpoint is OS; other secondary endpoints include safety and tolerability of 177Lu-PSMA-617 and health-related quality of life. Previously presented at the 2021 European Society for Medical Oncology Congress, FPN 942, Morris M et al. Reused with permission. Clinical trial information: NCT04689828.

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: 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
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.002

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 head0.163
GPT teacher head0.476
Teacher spread0.312 · 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

Citations24
Published2022
Admission routes1
Has abstractyes

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