QUADRA: A phase 2, open-label, single-arm study to evaluate niraparib in patients (pts) with relapsed ovarian cancer (ROC) who have received ≥3 prior chemotherapy regimens.
Bibliographic record
Abstract
5514 Background: PARP inhibitors (PARPi) are approved as active treatment only for pts with BRCA mutations. The PARPi niraparib demonstrated increased PFS vs placebo in the maintenance setting of platinum (plat) responsive ROC. Niraparib was effective regardless of BRCAmut or homologous recombination deficiency (HRD) status, but an increased treatment effect was observed in the HRDpos population. QUADRA (NCT02354586) evaluated niraparib active treatment in ROC pts. Based on the results of NOVA, the primary objective in QUADRA was to determine ORR in plat sensitive, HRDpos patients. Methods: Eligible pts had grade 2 or 3 serous ROC, ≥3 prior lines of chemo and measurable disease. Pts were evaluated for BRCAmut and HRD status (MyChoice HRD Test). HRDpos included germline or tumor BRCA mutation or an HRD score ≥42. Pts received niraparib 300 mg once daily until progression; treatment emergent adverse events (TEAEs) were managed with dose reduction to 200 or 100 mg. The primary endpoint was ORR per RECIST v1.1. Results: 463 pts were treated. Median age was 65 (range: 29-91). 162 pts were plat refractory; 152 plat resistant; 118 plat sensitive; 31 unknown. In HRDpos, plat sensitive pts who had received ≥3 regimens (median: 3 [range: 3-9]), without prior PARPi (N = 51) ORR was 27.5% (95% CI: 15.9%, 41.7%); DCR was 68.6%; DOR was 9.2 mos. Of the 51 pts, ORR was 38.9% (7/18) in BRCAmut and 21.2% in BRCAwt pts (7/33). 260 (56.2%) pts had grade ≥3 treatment-related TEAEs. The most common grade ≥3 TEAEs were thrombocytopenia (27.9%), anemia (24.9%), and neutropenia (12.4%). Grade ≥3 thrombocytopenia was 27.5% at 300 mg, 4.7% at 200 mg, and 2.7% at 100 mg. Hematologic TEAEs were most frequent in the first month and decreased in frequency and severity after dose reduction during months 2-3. Conclusions: Niraparib demonstrated durable anti-cancer activity in this heavily treated, HRDpos ROC population (4th line or greater), including BRCAwt pts. Toxicities, consistent with previous niraparib studies, were manageable with dose reduction and generally resolved within 3 mos. Final data including ORR in the total population (N = 463) and results in other subgroups will be presented. Disclosure Funded by TESARO, Inc. Clinical trial information: NCT02354586.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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".