Olaparib plus paclitaxel plus carboplatin (P/C) followed by olaparib maintenance treatment in patients (pts) with platinum-sensitive recurrent serous ovarian cancer (PSR SOC): A randomized, open-label phase II study.
Bibliographic record
Abstract
5001 Background: The oral PARP inhibitor olaparib has shown antitumor activity in pts with SOC. Our multicenter study compared the efficacy of (Arm A) olaparib capsules plus P/C for 6 cycles then maintenance olaparib monotherapy vs (Arm B) P/C alone for 6 cycles and no further therapy in pts with PSR SOC (NCT01081951). Methods: Pts received 6 x 21-day(d) cycles of olaparib (200 mg bid, d1–10/21) + P (175 mg/m2 iv, d1) + C (AUC4 iv, d1), then olaparib monotherapy as maintenance (400 mg bid, continuous) (Arm A), or 6 x 21d cycles of P (175 mg/m2 iv, d1) + C (AUC6 iv, d1) then no further therapy (Arm B), until progression. Randomization (1:1) was stratified by number of platinum treatments and platinum-free interval. Primary endpoint: progression-free survival (PFS) by central review (RECIST 1.1). Secondary endpoints: overall survival (OS), objective response rate (ORR), safety. Archival tissue was collected where available for analysis of biomarker correlation. Results: Of 162 pts randomized (n=81 per arm), 156 received treatment (Arm A, n=81; Arm B, n=75) and 121 began the maintenance/no further therapy phase (Arm A, n=66; Arm B, n=55). Olaparib + P/C (AUC4) followed by maintenance olaparib showed a significant improvement in PFS vs P/C (AUC6) alone (HR = 0.51, 95% CI 0.34, 0.77; P=0.0012; median = 12.2 vs 9.6 months). OS data are immature (total events: 14%). ORR was similar for Arm A and Arm B (64 vs 58%). Most common AEs during the combination phase were alopecia (74 vs 59%), nausea (69 vs 57%) and fatigue (64 vs 57%) for Arm A vs Arm B, respectively. Pts with grade ≥3 AEs (65 vs 57%), serious AEs (SAEs: 15 vs 21%) and AEs leading to treatment discontinuation (19 vs 16%) were similar for Arm A vs Arm B. Most common AEs during maintenance/no further therapy were nausea (50 vs 6%) and vomiting (29 vs 7%). 29 vs 16% of pts had grade ≥3 AEs, 9 vs 7% had SAEs and 8% vs N/A discontinued due to AEs in the olaparib vs no treatment arms, respectively. There were no fatal AEs. Conclusions: In pts with PSR SOC, olaparib plus P/C (AUC4) followed by olaparib 400 mg bid monotherapy maintenance treatment resulted in a significant improvement in PFS vs P/C (AUC6) alone.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".