A phase 3, multicenter, double-blind, placebo-controlled trial of lenvatinib (E7080) in patients with <sup>131</sup>I-refractory differentiated thyroid cancer (SELECT).
Bibliographic record
Abstract
LBA6008 Background: Lenvatinib (LEN) is an oral tyrosine kinase inhibitor of the VEGFR1-3, FGFR1-4, PDGFRβ, RET, and KIT signaling networks. Based on efficacy results of the phase 2 study of patients (pts) with 131I-refractory differentiated thyroid cancer (RR-DTC), this phase 3 Study of (E7080) Lenvatinib in Differentiated Cancer of the Thyroid (SELECT) was developed. Methods: This randomized, double-blind, placebo (PBO)-controlled study enrolled pts with RR-DTC with documented disease progression within 13 months (mo). Pts were stratified by age (≤65, >65 years), region and ≤1 prior VEGFR-targeted therapies and randomized 2:1 to LEN or PBO (24mg/d, 28-d cycle). Upon progression, pts receiving PBO could crossover to open-label LEN. The primary endpoint was PFS assessed by Independent Radiologic Review; secondary endpoints included overall response rate (ORR; complete response [CR] + PR), overall survival (OS) and safety. Results: 392 pts (63.0 years median age; 51.0% male) were randomized. Pts on LEN had a significantly prolonged PFS vs PBO (hazard ratio 0.21, 95% confidence interval [CI] 0.14–0.31; P <.0001); median PFS was LEN: 18.3 mo (95% CI 15.1–not evaluable), PBO: 3.6 mo (95% CI 2.2–3.7). A LEN PFS benefit was observed in all predefined subgroups; median LEN PFS for pts with prior vs no prior VEGF-therapy was 15.1 mo (n=66) and 18.7 mo (n=195), respectively. Rates (n) of CRs were LEN: 1.5% (4), PBO: 0; PRs were LEN: 63.2% (165), PBO: 1.5% (2).Median exposure duration was LEN: 13.8 mo, PBO: 3.9 mo; median time to LEN response was 2.0 mo. Median OS has not been reached; deaths per arm were LEN: 71 (27.2%), PBO: 47 (35.9%). The 5 most common LEN treatment-related adverse events (TRAEs; any grade) were hypertension (68%), diarrhea (59%), appetite decreased (50%), weight loss (46%), nausea (41%). LEN grade ≥3 TRAEs (≥5%) were hypertension (42%), proteinuria (10%), weight loss (10%), diarrhea (8%), appetite decreased (5%). The dose was reduced in 78.5% of pts and discontinued due to adverse events (AEs) in 14.2% of pts. Conclusions: LEN significantly improved PFS compared with PBO in pts with progressive RR-DTC. There were no unexpected toxicities and AEs were manageable. Clinical trial information: NCT01321554.
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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 | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".