DUETTE: a phase II randomized, multicenter study to investigate the efficacy and tolerability of a second maintenance treatment in patients with platinum-sensitive relapsed epithelial ovarian cancer, who have previously received poly(ADP-ribose) polymerase (PARP) inhibitor maintenance treatment
Bibliographic record
Abstract
BACKGROUND: With the success of poly(ADP-ribose) polymerase (PARP) inhibitor therapy in the first-line and second-line treatment settings, a new patient population is emerging with platinum-sensitive relapsed ovarian cancer, who have previously received a PARP inhibitor in the maintenance setting and for whom no second maintenance standard of care exists. DUETTE (NCT04239014) will evaluate the combination of ceralasertib (a potent, selective inhibitor of the serine/threonine kinase ataxia telangiectasia and Rad3-related protein (ATR) + olaparib, or olaparib monotherapy, compared with placebo, in this patient population of unmet need. PRIMARY OBJECTIVE: The primary objective is to assess the efficacy of ceralasertib + olaparib combination, and olaparib monotherapy, compared with placebo, as second maintenance therapy in platinum-sensitive relapsed ovarian cancer. STUDY HYPOTHESIS: This study will test the hypothesis that ceralasertib + olaparib, or olaparib monotherapy, is tolerable, and effective at prolonging progression-free survival compared with placebo. TRIAL DESIGN: status, and response to platinum-based chemotherapy. MAJOR INCLUSION/EXCLUSION CRITERIA: Eligible patients will have histologically diagnosed high-grade epithelial ovarian cancer, with platinum-sensitive relapse on, or after, completion of at least 6 months of any prior PARP inhibitor maintenance therapy (a minimum of 12 months is required if the patient received PARP inhibitor maintenance following first-line chemotherapy). If the prior PARP inhibitor used was olaparib then patients must have received treatment without significant toxicity or the need for a permanent dose reduction. Disease relapse in the second-line or third-line setting is allowed. Patients who have received secondary debulking surgery are potentially eligible if they meet all other inclusion criteria. PRIMARY ENDPOINTS: The primary endpoint is progression-free survival determined by blinded independent central review according to RECIST 1.1, with sensitivity analysis of progression-free survival using investigator assessments according to RECIST 1.1. SAMPLE SIZE: 192 patients. ESTIMATED DATES FOR COMPLETING ACCRUAL AND PRESENTING RESULTS: December 2022. TRIAL REGISTRATION: NCT04239014.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".