PROPEL: A randomized, phase III trial evaluating the efficacy and safety of olaparib combined with abiraterone as first-line therapy in patients with metastatic castration-resistant prostate cancer (mCRPC).
Bibliographic record
Abstract
TPS340 Background: A Phase II trial showed olaparib (tablets, 300 mg bid) in combination with abiraterone (1000 mg od plus prednisone/prednisolone 5 mg bid) significantly prolonged radiologic progression-free survival (rPFS) compared with abiraterone alone (median 13.8 vs 8.2 months; hazard ratio 0.65, 95% CI 0.44–0.97, P=0.034) in patients (pts) with mCRPC in the second-line metastatic setting who received prior docetaxel (Clarke et al. Lancet Oncol 2018). Treatment benefits were achieved irrespective of homologous recombination repair (HRR) mutation status, suggesting potential synergy between the two treatments that could impact a broader patient population. PROpel (EudraCT: 2018-002011-10) is the follow-on study to this, and the first Phase III trial to assess a PARP inhibitor in combination with abiraterone as first-line treatment in a genetically unselected mCRPC pt population. Methods: PROpel is a double-blind, placebo-controlled, international, multicenter study of pts randomized (1:1), as for the Phase II trial, to abiraterone (1000 mg od plus prednisone/prednisolone 5 mg bid) plus either olaparib (tablets, 300 mg bid) or placebo. Pts must not have received prior chemotherapy, new hormonal agents or other systemic treatment at mCRPC stage (except docetaxel at metastatic hormone-sensitive prostate cancer stage [mHSPC]). Randomization is stratified according to site of metastases (bone only vs visceral vs other) and docetaxel treatment at mHSPC stage (yes, no). The primary endpoint is investigator-assessed rPFS (RECIST v1.1 [soft tissue] and Prostate Working Cancer Group 3 [PCWG-3 criteria; bone]). Secondary objectives include time to first subsequent therapy or death, time to pain progression, overall survival, and health-related quality of life. Safety and tolerability will also be described. Exploratory endpoints include HRR subgroup analyses to confirm that efficacy is independent of HRR status. Screening across ~200 sites in 20 countries is being conducted to identify a target sample of ~720 pts. Enrollment is expected to begin in October 2018. (Study 8, NCT01972217). Clinical trial information: NCT03732820.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".