Efficacy and Safety of Ceritinib (450 mg/d or 600 mg/d) With Food Versus 750-mg/d Fasted in Patients With ALK Receptor Tyrosine Kinase (ALK)–Positive NSCLC: Primary Efficacy Results From the ASCEND-8 Study
Bibliographic record
Abstract
INTRODUCTION: In an earlier report of the ASCEND-8 study (open-label, phase I, three-arm study, treatment-naive patients and pre-treated patients with advanced/metastatic NSCLC), it was shown that ceritinib 450 mg with food had comparable exposure and better gastrointestinal tolerability than 750-mg fasted. METHODS: Here, we report efficacy and updated safety data from primary efficacy analysis of the ASCEND-8 study. Key secondary endpoints were overall response rate and duration of response, assessed by blinded independent review committee (BIRC) using Response Evaluation Criteria in Solid Tumors 1.1. RESULTS: In total, 306 patients were randomized to ceritinib 450-mg fed (n = 108) or 600-mg fed (n = 87) or 750-mg fasted (n = 111), of which 304 patients were included in safety analysis and 198 treatment-naive patients (ALK receptor tyrosine kinase [ALK]-positive by immunohistochemistry) were included in the efficacy analysis (450-mg fed [n = 73], 600-mg fed [n = 51], and 750-mg fasted [n = 74]). The BIRC-assessed overall response rate was 78.1% (95% confidence interval [CI]: 66.9-86.9), 72.5% (95% CI: 58.3-84.1), and 75.7% (95% CI: 64.3-84.9), respectively; and the median duration of response (months) by BIRC was not estimable (NE) (95% CI: 11.2-NE), 20.7 (95% CI: 15.8-NE), and 15.4 (95% CI: 8.3-NE), respectively. Based on the safety analysis (n = 304), the 450-mg fed arm showed the highest median relative dose intensity (100% versus 78.5% versus 83.7%), lowest proportion of patients with dose reductions (24.1% versus 65.1% versus 60.9%), and lowest proportion of patients with gastrointestinal toxicities (75.9% versus 82.6% versus 91.8%). CONCLUSION: Ceritinib at a dose of 450 mg with food compared to 750-mg fasted showed consistent efficacy and less gastrointestinal toxicity.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".