Seven-Year Follow-Up of the Phase III KEYNOTE-006 Study: Pembrolizumab Versus Ipilimumab in Advanced Melanoma
Bibliographic record
Abstract
Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported. Immune checkpoint inhibitors have led to unprecedented prolongation of overall survival (OS) for patients with advanced melanoma. Five-year follow-up of KEYNOTE-006 showed pembrolizumab prolonged survival versus ipilimumab. Efficacy results with 7-year follow-up are presented. At data cutoff (April 19, 2021), median follow-up was 85.3 months (range, 0.03-90.8 months). Median OS was 32.7 months for pembrolizumab versus 15.9 months for ipilimumab (hazard ratio [HR], 0.70; 95% CI, 0.58 to 0.83); 7-year OS was 37.8% and 25.3%, respectively. OS HRs favored pembrolizumab regardless of BRAF status or prior BRAF/MEK-inhibitor treatment and prognostic characteristics (elevated lactate dehydrogenase, large tumor size, and brain metastasis). Median modified progression-free survival (mPFS) was 9.4 months for pembrolizumab versus 3.8 months for ipilimumab; 7-year mPFS was 23.8% and 13.3%, respectively. In patients who completed ≥94 weeks of pembrolizumab, the 5-year OS was 92.9% and the 5-year mPFS was 70.1%. The objective response rate with second-course pembrolizumab (n = 16) was 56% (95% CI, 30 to 80) and the 2-year mPFS was 62.5%. These findings confirm that pembrolizumab provides long-term survival benefit in advanced melanoma.
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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 | 0.011 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".