A phase 2 trial of lenvatinib 18 mg versus 14 mg once daily (QD) in combination with everolimus (5 mg QD) in renal cell carcinoma (RCC) after 1 prior VEGF-targeted treatment.
Bibliographic record
Abstract
TPS707 Background: Based on findings from a randomized phase 2 study (Study 205), lenvatinib (LEN) + everolimus (EVE) was approved in the United States and European Union for patients (pts) with advanced RCC following 1 prior anti-angiogenic therapy. In that study, LEN 18 mg QD + EVE 5 mg QD significantly prolonged progression-free survival (PFS) compared with either monotherapy. In the LEN+EVE cohort, grades 3 and 4 treatment-emergent adverse events (TEAEs) occurred in 71% of pts. We report the design of an ongoing, multicenter, randomized, double-blind, phase 2 study (Study 218) to evaluate if a lower LEN starting dosage regimen provides similar efficacy with a better safety profile than LEN 18 mg + EVE 5 mg (NCT03173560). Methods: Eligible pts are aged ≥ 18 years with advanced clear cell RCC, 1 prior anti-VEGF therapy, ≥ 1 measurable target lesion per RECIST 1.1, a KPS score of ≥ 70, and prior nivolumab is allowed. Pts will receive LEN 18 mg or 14 mg QD + EVE 5 mg QD in 28-day cycles until disease progression, unacceptable toxicity, or withdrawal of consent. The LEN 14-mg dose will be escalated to 18 mg if no intolerable grade 2, or any grade ≥ 3 TEAEs requiring dose reduction occur in cycle 1. The primary endpoints are objective response rate (ORR) at week 24 (ORR24W) and the proportion of pts with intolerable grade 2 and any grade ≥ 3 TEAEs within 24 wks after randomization. Secondary endpoints include PFS and ORR. An estimated 306 pts will be randomized. Sample size is based on detecting noninferiority (NI) of ORR24W and superiority of the primary safety endpoint. Two interim analyses (IA) will be performed when 150 and 200 pts have completed 24 wks of follow-up or discontinue earlier. Each analysis will test NI and futility of the LEN 14-mg arm ORR24W vs the 18-mg arm ORR24W. An O’Brien-Fleming boundary will be used for NI. If the 1-sided P-value is ≤ 0.005 at the first IA, ≤ 0.014 at the second IA, or ≤ 0.045 at the final analysis, then NI in ORR24W will be claimed. If the futility boundary is crossed (ie, 1-sided P-value is ≥ 0.776 at the first IA or ≥ 0.207 at the second IA), then futility will be claimed. Clinical trial information: NCT03173560.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".