Efficacy of Maintenance Olaparib for Patients With Newly Diagnosed Advanced Ovarian Cancer With a BRCA Mutation: Subgroup Analysis Findings From the SOLO1 Trial
Bibliographic record
Abstract
PURPOSE In SOLO1, maintenance olaparib (300 mg twice daily) significantly improved progression-free survival (PFS) for patients with newly diagnosed BRCA1- and/or BRCA2-mutated advanced ovarian cancer compared with placebo (hazard ratio [HR], 0.30; 95% CI, 0.23 to 0.41; median not reached v 13.8 months). We investigated PFS in SOLO1 for subgroups of patients based on preselected baseline factors. PATIENTS AND METHODS Investigator-assessed PFS subgroup analyses of SOLO1 included clinical response after platinum-based chemotherapy (complete [CR] or partial response [PR]), surgery type (upfront or interval surgery), disease status after surgery (residual or no gross residual disease), and BRCA mutation status ( BRCA1 or BRCA2). Additionally, we evaluated PFS in patients with stage III disease who underwent upfront surgery and had no gross residual disease. We also report objective response rate. RESULTS The risk of disease progression or death was reduced with olaparib compared with placebo by 69% (HR, 0.31; 95% CI, 0.21 to 0.46) and 63% (HR, 0.37; 95% CI, 0.24 to 0.58) in patients undergoing upfront or interval surgery; 56% (HR, 0.44; 95% CI, 0.25 to 0.77) and 67% (HR, 0.33; 95% CI, 0.23 to 0.46) in patients with residual or no residual disease after surgery; 66% (HR, 0.34; 95% CI, 0.24 to 0.47) and 69% in women with clinical CR or PR at baseline (HR, 0.31; 95% CI, 0.18 to 0.52); and 59% (HR, 0.41; 95% CI, 0.30 to 0.56) and 80% (HR 0.20; 95% CI, 0.10 to 0.37) in patients with a BRCA1 or BRCA2 mutation, respectively. CONCLUSION Patients with newly diagnosed advanced ovarian cancer achieve substantial benefit from maintenance olaparib treatment regardless of baseline surgery outcome, response to chemotherapy, or BRCA mutation type.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.007 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".