Lenvatinib Plus Pembrolizumab in Previously Treated Advanced Endometrial Cancer: Updated Efficacy and Safety From the Randomized Phase III Study 309/KEYNOTE-775
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. We report the final prespecified analysis for overall survival (OS), along with updated progression-free survival (PFS) and objective response rate (ORR), and safety from the open-label, randomized, phase III Study 309/KEYNOTE-775. In total, 827 patients with advanced, recurrent, or metastatic endometrial cancer (EC) were randomly assigned to receive lenvatinib 20 mg orally once daily plus pembrolizumab 200 mg intravenously once every 3 weeks (n = 411) or chemotherapy of the treating physician's choice (doxorubicin 60 mg/m2 intravenously once every 3 weeks or paclitaxel 80 mg/m2 intravenously once weekly [3 weeks on; 1 week off] [n = 416]). Efficacy was reported for patients with mismatch repair proficient (pMMR) tumors and all-comers, and by subgroups (histology, prior therapy, MMR status). Updated safety was also reported. Lenvatinib plus pembrolizumab showed benefits in OS (pMMR HR, 0.70; 95% CI, 0.58 to 0.83; all-comer HR, 0.65; 95% CI, 0.55 to 0.77), PFS (pMMR HR, 0.60; 95% CI, 0.50 to 0.72; all-comer HR, 0.56; 95% CI, 0.48 to 0.66), and ORR (pMMR patients, 32.4% v 15.1%; all-comers, 33.8% v 14.7%) versus chemotherapy. OS, PFS, and ORR favored lenvatinib plus pembrolizumab in all subgroups of interest. No new safety signals were observed. Lenvatinib plus pembrolizumab continued to show improved efficacy versus chemotherapy and manageable safety in patients with previously treated advanced EC.
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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 | 0.014 | 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 | 0.000 | 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) | 0.003 | 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".