FDA Approval Summary: Pembrolizumab plus Lenvatinib for Endometrial Carcinoma, a Collaborative International Review under Project Orbis
Bibliographic record
Abstract
On September 17, 2019, FDA granted accelerated approval to pembrolizumab plus lenvatinib for the treatment of patients with advanced endometrial carcinoma that is not microsatellite instability-high (MSI-H) or mismatch repair deficient (dMMR) and who have disease progression following prior systemic therapy but are not candidates for curative surgery or radiation. The submission and review of this application was conducted through an FDA Oncology Center of Excellence initiative named Project Orbis whereby the FDA, the Australian Therapeutic Goods Administration, and Health Canada were able to simultaneously review and collaborate, rendering simultaneous approval decisions in all countries. Accelerated approval of the pembrolizumab plus lenvatinib combination was based on a single-arm trial of 94 patients, with previously treated metastatic endometrial cancer whose tumors were not MSI-H/dMMR. Efficacy was demonstrated on the basis of an objective response rate of 38.3% (95% confidence interval, 28.5%-48.9%) with 10 complete responses (10.6%) accompanied by supportive durations of response. Trials to confirm clinical benefit of this combination are ongoing. Here, we summarize the benefit-risk analysis supporting accelerated approval of the pembrolizumab plus lenvatinib combination and describe the methodology for the first Project Orbis review.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".