Durvalumab with carboplatin/paclitaxel and bevacizumab followed by durvalumab and bevacizumab with or without olaparib maintenance in newly diagnosed non-BRCA-mutated advanced ovarian cancer
Bibliographic record
Abstract
BACKGROUND: Despite treatment advances in newly diagnosed advanced-stage ovarian cancer (aOC), improved outcomes are needed. PATIENTS AND METHODS: DUO-O (NCT03737643), a phase III placebo-controlled trial, enrolled patients with newly diagnosed aOC. Following one cycle of carboplatin/paclitaxel ± bevacizumab, patients without a tumor BRCA mutation (non-tBRCAm) were randomly assigned (1 : 1 : 1) at cycle 2 to carboplatin/paclitaxel plus bevacizumab followed by bevacizumab (control); carboplatin/paclitaxel, bevacizumab plus durvalumab followed by bevacizumab plus durvalumab (durvalumab arm); or carboplatin/paclitaxel, bevacizumab plus durvalumab followed by bevacizumab, durvalumab plus olaparib (durvalumab + olaparib arm). Investigator-assessed progression-free survival (PFS; primary endpoint) was tested for the durvalumab + olaparib arm versus control in the non-tBRCAm homologous recombination deficiency (HRD)-positive and non-tBRCAm intention-to-treat (ITT) populations. RESULTS: One thousand one hundred and thirty patients were randomly allocated to the study. The prespecified interim PFS analysis [data cut-off (DCO): 5 December 2022] qualified as the primary analysis; PFS hazard ratio (HR) for the durvalumab + olaparib arm versus control was 0.49 [95% confidence interval (CI) 0.34-0.69, P < 0.0001; median (m) PFS 37.3 versus 23.0 months] in the non-tBRCAm HRD-positive and 0.63 (95% CI 0.52-0.76, P < 0.0001; mPFS 24.2 versus 19.3 months) in the non-tBRCAm ITT population. For the durvalumab arm versus control, PFS HR was 0.87 (95% CI 0.73-1.04, P = 0.13; mPFS 20.6 versus 19.3 months) in the non-tBRCAm ITT population. At final PFS and interim overall survival (OS) analysis (DCO: 18 September 2023), PFS results were consistent with primary analysis; interim OS HR for the durvalumab + olaparib arm versus control was 0.95 (95% CI 0.76-1.20, P = 0.68; 39.0% maturity) in the non-tBRCAm ITT population. Safety was generally consistent with the profiles of the individual agents. CONCLUSIONS: DUO-O met its primary PFS endpoints for first-line durvalumab plus carboplatin/paclitaxel and bevacizumab followed by durvalumab, bevacizumab plus olaparib maintenance versus carboplatin/paclitaxel and bevacizumab followed by bevacizumab in the non-tBRCAm HRD-positive and non-tBRCAm ITT populations. Further insight into long-term benefit is anticipated with additional follow-up.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".