Post Hoc Analysis of Lorlatinib Intracranial Efficacy and Safety in Patients With <i>ALK</i>-Positive Advanced Non–Small-Cell Lung Cancer From the Phase III CROWN Study
Bibliographic record
Abstract
PURPOSE Lorlatinib significantly improved progression-free survival (PFS) versus crizotinib and showed robust intracranial activity in patients with previously untreated advanced ALK-positive non–small-cell lung cancer (NSCLC) in the phase III CROWN trial. Here, we report post hoc efficacy outcomes in patients with and without brain metastases at baseline, and present data on the incidence and management of CNS adverse events (AEs) in CROWN. METHODS Eligible patients were randomly assigned 1:1 to first-line lorlatinib (100 mg once daily) or crizotinib (250 mg twice a day); no crossover between treatment arms was permitted. Tumor assessments, including CNS magnetic resonance imaging, were performed at screening and then at 8-week intervals. Regular assessments of patient-reported outcomes were conducted. RESULTS PFS by blinded independent central review was improved with lorlatinib versus crizotinib in patients with and without brain metastases at baseline (12-month PFS rates: 78% v 22% and 78% v 45%, respectively). Lorlatinib was associated with lower 12-month cumulative incidence of CNS progression versus crizotinib in patients with (7% v 72%) and without (1% v 18%) brain metastases at baseline. In total, 35% of patients had CNS AEs with lorlatinib, most of grade 1 severity. Occurrence of CNS AEs did not result in a clinically meaningful difference in patient-reported quality of life. At analysis, 56% of CNS AEs had resolved (33% without intervention; 17% with lorlatinib dose modification), and 38% were unresolved; most required no intervention. Lorlatinib dose modification did not notably influence PFS. CONCLUSION First-line lorlatinib improved PFS outcomes and reduced CNS progression versus crizotinib in patients with advanced ALK-positive non–small-cell lung cancer with or without brain metastases at baseline. Half of all CNS AEs resolved without intervention or with lorlatinib dose modification.
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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 | 0.001 | 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".