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RTOG 3506 (STEEL): A study of salvage radiotherapy with or without enzalutamide in recurrent prostate cancer following surgery.

2020· article· en· W3032163036 on OpenAlexaboutno aff
Edwin M. Posadas, Hiram A. Gay, Stephanie L. Pugh, Todd M. Morgan, James B. Yu, Stanislav Lechpammer, Felix Y. Feng

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineProstatectomyProstate cancerEnzalutamideBiochemical recurrenceAndrogen deprivation therapyRadiation therapyLymph nodeOncologyNocturiaUrologyInternal medicineCancerSurgeryAndrogen receptor

Abstract

fetched live from OpenAlex

TPS5601 Background: Salvage radiotherapy (SRT) is an important intervention for men with prostate cancer (PCa) who experience biochemical recurrence (BCR) after radical prostatectomy (RP). These patients are in need of cure or else they will develop metastatic disease. NRG/RTOG 9601 (WU Shipley, N Eng J Med 2017) identified a survival benefit from the addition of androgen receptor (AR) inhibition to SRT that was most prominent in men with high-risk features. Enzalutamide (Enza) is a non-steroidal anti-androgen that improves survival in castration-resistant and -sensitive PCa. We hypothesized that enhanced AR suppression with Enza would augment the benefit of SRT + androgen deprivation therapy (ADT) in BCR with high risk features. Methods: RTOG 3506 (STEEL, NCT03809000) is a randomized phase II study of SRT in BCR after RP with a serum PSA ≥ 0.2 ng/mL active in the USA and Canada. Patients are stratified by number of high-risk features including Gleason score (8-10), locoregional node involvement at RP, seminal vesicle invasion, persistently elevated PSA after RP, and PSA > 0.7 ng/mL. All patients receive SRT with 2 years of ADT. The experimental arm also receives Enza 160 mg daily for 2 years. Patients are followed by PSA every 3 months. SRT can be highly individualized per treating physician beyond the mandatory treatment of the prostatic fossa. Treatment of the pelvis and/or para-aortic nodes, as well as sequential or concurrent boosts to a prostatic fossa mass and/or suspicious lymph nodes, are allowed options. This permits individualization of radiotherapy guided by CT, MRI, PET, and/or biopsy findings. The primary goal of this study is to determine whether SRT enhanced ADT with Enza, will improve progression-free survival (PFS) compared to SRT with standard ADT. PFS defined as the first occurrence of biochemical failure, clinical failure, or initiation of new anticancer treatment. STEEL is designed to demonstrate a 35% reduction in the risk of progression at 5 years. An accrual goal of 242 patients will provide 80% power with a one-sided alpha = 0.10. Secondary endpoints include disease control rates, acute and late physician- and patient-reported toxicity, and quality of life. This study was activated in February 2019. Site recruitment and activation are underway. Conclusions: There is an unmet and urgent need for individualized strategies to optimize systemic therapy used with SRT for men with BCR. Outcomes from this study will further clarify the approach to systemic therapy for SRT in high-risk BCR patients. Support: Provided by Pfizer. Clinical trial information: NCT03809000 .

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.223
GPT teacher head0.524
Teacher spread0.301 · 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 designNon-randomized 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

Citations7
Published2020
Admission routes1
Has abstractyes

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