Updated overall survival outcomes in ENZAMET (ANZUP 1304), an international, cooperative group trial of enzalutamide in metastatic hormone-sensitive prostate cancer (mHSPC).
Bibliographic record
Abstract
LBA5004 Background: The first planned interim analysis of ENZAMET, with 243 deaths after a median follow-up of 34 months, revealed a clinically meaningful overall survival benefit in mHSPC with the addition of enzalutamide to standard of care (hazard ratio 0.67, 95% CI 0.52 to 0.86, p=0.002, Davis et al, NEJM 2019). We now present updated overall survival (OS) findings from the prespecified analysis triggered to occur after 470 deaths. Methods: We randomly assigned participants (pts) with mHSPC to treatment with testosterone suppression (TS) plus either a conventional non-steroidal anti-androgen (NSAA) or enzalutamide. Stratification factors included age, volume of disease (high vs low according to the CHAARTED definition), and planned use of concurrent docetaxel assigned by the treating physician (docetaxel yes vs no). Results: We randomized 1125 pts with a median age of 69 years, including 503 in the docetaxel stratum, and 602 with high volume metastatic disease. OS results in the table below are based on 476 deaths, a median follow-up of 68 months, and a cut-off date of 19JAN2022. The hazard rate for death was 30% lower among all those assigned enzalutamide versus control (p<0.0001). Outcomes by volume status are shown (Table) as well as the subgroups of interest with M1 high or low volume disease at diagnosis selected for concurrent docetaxel. Conclusions: Enzalutamide added to TS, compared with an active comparator of NSAA, provided clinically meaningful improvements in OS for the combined overall cohort, which persisted with an additional 3 years of follow-up. The benefits were more pronounced in pts with low volume disease, and were also seen in the subgroup with M1 high volume mHSPC despite the relatively high survival with TS+docetaxel+NSAA. ENZAMET was led by ANZUP Cancer Trials Group and the University of Sydney NHMRC Clinical Trials Centre, with funding support from Astellas. Clinical trial information: NCT02446405. [Table: see text]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".