Phase 3 randomized, double-blind, controlled study of cabozantinib (XL184) versus placebo in subjects with hepatocellular carcinoma who have received prior sorafenib (CELESTIAL; NCT01908426).
Bibliographic record
Abstract
TPS496 Background: Currently, there are no approved systemic therapies for patients with advanced hepatocellular carcinoma (HCC) who fail sorafenib. Cabozantinib is an oral receptor tyrosine kinase inhibitor (TKI) with activity against tyrosine kinases including MET, RET and VEGFRs. MET and VEGFR signaling have been implicated in tumor neo-angiogenesis and invasion. MET is overexpressed in HCC compared with non-tumor liver tissue, with higher MET expression linked to poor prognosis. Cabozantinib prolonged survival in a MET-driven transgenic mouse model of HCC, and has demonstrated clinical activity in multiple solid tumor types, including 41 subjects with advanced HCC treated in a phase 2 randomized discontinuation study. Methods: This phase 3, randomized, double-blind study evaluates the efficacy and safety of cabozantinib compared with placebo in subjects with advanced HCC previously treated with sorafenib and have progressed following 1-2 prior systemic treatments for HCC. Subjects must be ≥ 18 year old, have Child-Pugh Score of A and ECOG PS ≤ 1. Subjects are randomized 2:1 to receive either cabozantinib or placebo. Stratification factors are etiology of disease, geographic region and the presence of extrahepatic spread of disease and/or macrovascular invasion. The primary endpoint is overall survival. Secondary endpoints are progression-free survival and objective response rate by RECIST 1.1. Additional endpoints include safety, tolerability, circulating tumor cells, serum bone markers and plasma biomarkers, effects on bony disease assessed by bone scan and health-related quality of life (HRQoL) using the EuroQol Health questionnaire (EQ-5D-5L). Enrollment was initiated in September 2013. Target recruitment is 760 subjects. A total of 621 events planned with 2 interim analyses (at 311 and 466 events) would provide 90% power to detect a 31.6% increase in OS (HR=0.76). Clinical trial information: NCT01908426.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".