RELAY, ramucirumab plus erlotinib versus placebo plus erlotinib in patients with untreated, EGFR-mutated, metastatic non-small cell lung cancer: Europe/United States subset analysis
Bibliographic record
Abstract
BACKGROUND: In EGFR mutation-positive NSCLC, dual EGFR/VEGFR inhibition compared to EGFR alone increases anti-tumor efficacy. The Phase III RELAY trial demonstrated superior PFS for ramucirumab plus erlotinib (RAM + ERL) over placebo plus erlotinib (PBO + ERL) (HR 0.591 [95% CI 0.461-0.760], p<0.0001). EGFR mutated NSCLC is less prevalent in Western versus Asian patients. This prespecified analysis evaluates efficacy and safety of RAM + ERL in EU and US patients enrolled in RELAY. PATIENTS AND METHODS: Patients were randomized 1:1 to ERL + RAM (10 mg/kg IV) or PBO Q2W. Treatment continued until unacceptable toxicity or progressive disease. Patients were stratified by geographic region (East Asia vs "other" [EU/US and Canada (EU/US)]). Objectives included PFS, ORR, DoR, OS, PFS2, safety and biomarker analysis. RESULTS: EU/US subset included 113/449 (25.9%) patients (58 RAM + ERL, 55 PBO + ERL). RAM + ERL improved PFS (20.6 vs 10.9 months, HR 0.605 [95% CI: 0.362-1.010]). ORR and DCR were similar, but median DoR was longer with RAM + ERL (18.0 vs 10.1 months, HR 0.527 [95% CI: 0.296-0.939]). OS and PFS2 were immature at data cut-off (censoring rates 81.0-81.8% and 67.3-79.3%, respectively). Most commonly reported Grade ≥3 TEAE for RAM + ERL was hypertension (17 [29.8%]) and for PBO + ERL, dermatitis acneiform (5 [9.1%]). CONCLUSION: EU/US subset analysis showed improved efficacy outcomes for RAM + ERL and a safety profile consistent with the overall population. Ramucirumab is a safe and effective addition to standard-of-care EGFR-TKI for EGFR mutation-positive metastatic NSCLC.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".