Phase III study evaluating efficacy and safety of MK-6482 + lenvatinib versus cabozantinib for second- or third-line therapy in patients with advanced renal cell carcinoma (RCC) who progressed after prior anti-PD-1/L1 therapy.
Bibliographic record
Abstract
TPS372 Background: There is an unmet need for treatment options in the second-line or later setting following anti–PD-1/L1 or VEGF tyrosine kinase inhibitor (TKI) therapy in patients with advanced RCC. Hypoxia-inducible factor (HIF)-2α is a transcription factor that has been established as an oncogenic driver in clear cell RCC (ccRCC). Promising antitumor activity has been reported for the first-in-class small molecular HIF-2α inhibitor, MK-6482, in heavily pretreated patients with ccRCC and patients with VHL disease–associated RCC. HIF-2α also regulates VEGF gene expression and plays a role in resistance to anti-VEGF therapy. Therefore, combining MK-6842 with a VEGF receptor TKI, such as lenvatinib, is an attractive treatment option in the advanced RCC setting. Methods: This is a randomized, open-label, active-controlled, multicenter phase III trial evaluating the efficacy and safety of MK-6482 + lenvatinib compared with cabozantinib in patients with advanced ccRCC who have progressed on prior anti–PD-1/L1 therapy (NCT04586231). Eligibility criteria include age ≥18 years; histologically confirmed, unresectable, locally advanced or metastatic ccRCC; disease progression on or after first- or second-line systemic treatment with an anti–PD-1/L1 therapy (monotherapy or in combination with other agent[s]) for locally advanced or metastatic disease, the immediately preceding line of treatment must be an anti–PD-1/L1 therapy; no more than 2 prior systemic regimens, with only 1 prior anti–PD-1/L1 therapy; measurable disease per RECIST v1.1; and Karnofsky performance status ≥70%. Patients must provide tissue for biomarker analysis. Approximately 708 patients will be randomly assigned in a 1:1 ratio to receive MK-6482 120 mg orally once daily (QD) + lenvatinib 20 mg orally QD or cabozantinib 60 mg orally QD. Treatment will continue until disease progression, unacceptable toxicity, or withdrawal of consent. The stratification factors are International mRCC Database Consortium prognostic scores (0, 1-2, or 3-6), number of prior lines of therapy (1 or 2), and geographic region (North America, Western Europe, or rest of the world). Imaging will be assessed by CT or MRI every 8 weeks through week 80, then every 12 weeks thereafter. The dual primary end points are progression-free survival per RECIST v1.1 as assessed by blinded independent central review (BICR) and overall survival. Secondary end points are objective response rate and duration of response per RECIST v1.1 as assessed by BICR, and safety. Safety and tolerability will be evaluated using a tiered approach. Clinical trial information: NCT04586231 .
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".