Pembrolizumab for the First-Line Treatment of Recurrent Locally Advanced or Metastatic Merkel Cell Carcinoma: Results from the Single-Arm, Open-Label, Phase III KEYNOTE-913 Study
Bibliographic record
Abstract
BACKGROUND: The phase III KEYNOTE-913 study was conducted to evaluate the efficacy and safety of pembrolizumab as first-line therapy in patients with advanced Merkel cell carcinoma (MCC). OBJECTIVE: The aim was to report results from the primary analysis of KEYNOTE-913. PATIENTS AND METHODS: Patients with recurrent locally advanced or metastatic MCC received pembrolizumab 200 mg intravenously every 3 weeks for up to 35 treatments (~ 2 years). The primary end point was objective response rate (ORR) per Response Evaluation Criteria in Solid Tumors, version 1.1 (RECIST v1.1) by blinded independent central review (BICR). Secondary end points were duration of response (DOR) and progression-free survival (PFS) per RECIST v1.1 by BICR, overall survival (OS), and safety and tolerability. RESULTS: Fifty-five patients were treated with pembrolizumab. The median time from first dose to data cutoff (February 15, 2024) was 50.3 months (range 38.7-59.4). The ORR was 49% (95% confidence interval [CI] 35-63), with 12 complete responses and 15 partial responses. The median DOR was 39.8 months (range 4.8-52.5+), and the 24-month DOR rate was 69%. The median PFS was 9.3 months (95% CI 3-26), and the 24-month PFS rate was 39%. The median OS was 24.3 months (95% CI 12.4 to not reached), and the 24-month OS rate was 51%. Any-grade treatment-related adverse events (AEs) occurred in 38 patients (69%); 13 patients (24%) experienced grade 3-5 AEs. The most common treatment-related AEs were fatigue (n = 12 [22%]), pruritus (n = 12 [22%]), and lipase increase (n = 10 [18%]). One patient died of treatment-related Guillain-Barré syndrome. CONCLUSIONS: Pembrolizumab provided durable antitumor activity and promising survival and had a manageable safety profile in patients with recurrent locally advanced or metastatic MCC, supporting its use in this population. TRIAL REGISTRATION: Clinicaltrials.gov, NCT03783078.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".