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Record W2590842281 · doi:10.1200/jco.2014.32.4_suppl.7

Results from a phase 3, randomized, double-blind, multicenter, placebo-controlled trial of orteronel (TAK-700) plus prednisone in patients with metastatic castration-resistant prostate cancer (mCRPC) that has progressed during or following docetaxel-based therapy (ELM-PC 5 trial).

2014· article· en· W2590842281 on OpenAlexaff
Robert Dreicer, Robin L. Jones, Stéphane Oudard, Eleni Efstathiou, Fred Saad, Ronald de Wit, Johann S. de Bono, Yuanjun Shi, Bindu Tejura, David B. Agus, Niels Borgstein, Joaquim Bellmunt, Karim Fizazi

Bibliographic record

VenueJournal of Clinical Oncology · 2014
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineClinical endpointPrednisoneAbiraterone acetatePlaceboProstate cancerInternal medicineAdverse effectPopulationKetoconazoleUrologyRandomized controlled trialCancerOncologyGastroenterologyAndrogen deprivation therapyDermatologyPathology

Abstract

fetched live from OpenAlex

7^ Background: Orteronel is an investigational, non-steroidal selective inhibitor of 17,20-lyase; a key enzyme in the production of steroidal hormones. Methods: Eligible men with metastatic castration-resistant prostate cancer (mCRPC) had progressive disease (PD; radiographic or prostate-specific antigen), castrate levels of testosterone, and had received more than or equal to 360 mg/m2docetaxel within the prior 6 months. Prior orteronel, abiraterone, or ketoconazole was not permitted. Patients were randomized 2:1 to continuous 28-day cycles of oral orteronel 400 mg BID + prednisone 5 mg BID, or placebo + prednisone without regard to food. Primary endpoint: overall survival (OS); other key endpoints: radiographical progression-free survival (rPFS), 50% or more PSA decrease at 12 weeks, pain response at 12 weeks and safety (NCT01193257). Results: One thousand ninety nine patients were randomized.The study was terminated for failing to meet its primary endpoint: median overall survival (OS) was 17.0 months (95% CI 15.2, 19.9) in patients receiving orteronel versus 15.2 months (95% CI 13.5, 16.9) in those receiving placebo (HR: 0.886 [95% CI: 0.739, 1.062]; P=0.1898). Substantial regional differences were seen in OS benefit: median OS (orteronel vs. placebo) was 20.9 vs. 16.9 mo (HR: 0.889) in North America (n=112), 18.3 vs. 17.8 mo (HR: 1.048) in Europe (n=590), and 15.3 vs 10.1 mo (HR: 0.709) in the rest of the world (n=397). In the overall population, rPFS was significantly improved in the orteronel arm, with a median of 8.3 months vs. 5.7 months in the placebo arm (HR: 0.76 [95% CI: 0.653, 0.885]; P=0.00038). Drug-related adverse events (AEs; any grade) included (orteronel/placebo) nausea (30/16%), vomiting (23/8%), fatigue (17/11%), and diarrhea (16/9%); grade 3 or higher drug-related AEs included increased lipase (12/less than 1%), increased amylase (8/less than 1%), and fatigue (3/3%). Additional sub-analyses looking at potential factors that affected OS will also be reported. Conclusions: Whileorteronel + prednisone did not show a statistically significant overall OS improvement versus placebo + prednisone, rPFS findings and striking regional OS differences suggest that orteronel has clinically meaningful activity. Clinical trial information: NCT01193257.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.001

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 head0.185
GPT teacher head0.469
Teacher spread0.283 · 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

Citations35
Published2014
Admission routes1
Has abstractyes

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