Lorlatinib vs crizotinib in treatment-naïve patients with advanced <i>ALK</i>+ non-small cell lung cancer: 5-year progression-free survival and safety from the CROWN study.
Bibliographic record
Abstract
LBA8503 Background: Lorlatinib, a brain-penetrant, 3rd-generation ALK tyrosine kinase inhibitor, demonstrated improved progression-free survival (PFS) and intracranial (IC) activity vs crizotinib in the phase 3 CROWN study in treatment-naïve patients (pts) with advanced ALK+ non-small cell lung cancer (NSCLC). We report long-term efficacy and safety outcomes from the CROWN study after 5 years of follow-up. Methods: 296 treatment-naïve pts with advanced ALK+ NSCLC were randomized 1:1 to receive lorlatinib 100 mg once daily (n = 149) or crizotinib 250 mg twice daily (n = 147). In this post hoc analysis, we present investigator-assessed efficacy outcomes, safety, and biomarker analyses. Formal statistical testing was not performed. Results: As of October 31, 2023, 74 of 149 pts (50%) vs 7 of 142 pts (5%) were still receiving lorlatinib vs crizotinib. With a median duration of follow-up for PFS (95% CI) of 60.2 months (57.4-61.6) in the lorlatinib and 55.1 months (36.8-62.5) in the crizotinib arm, median PFS (95% CI) was not reached (NR; 64.3-NR) with lorlatinib and 9.1 months (7.4-10.9) with crizotinib (HR, 0.19; 95% CI, 0.13-0.27). 5-year PFS (95% CI) was 60% (51-68) with lorlatinib and 8% (3-14) with crizotinib. Median time to IC progression (95% CI) was NR (NR-NR) with lorlatinib and 16.4 months (12.7-21.9) with crizotinib (HR, 0.06; 95% CI, 0.03-0.12). In pts without baseline brain metastases in the lorlatinib arm, only 4 of 114 developed brain progression, occurring within the first 16 months of treatment. Efficacy outcomes by baseline brain metastases are shown in the Table. Grade 3/4 adverse events (AEs) occurred in 77% of pts with lorlatinib and in 57% of pts with crizotinib. Treatment-related AEs led to treatment discontinuation in 5% and 6% of pts in the lorlatinib and crizotinib arms, respectively. Safety profile was consistent with that observed in prior analyses. Emerging new ALK mutations were not detected in circulating tumor DNA collected at the end of lorlatinib treatment (n = 31). Conclusions: After 5 years of follow up, the median PFS in the lorlatinib arm has yet to be reached, corresponding to the longest PFS ever reported in advanced NSCLC. Coupled with prolonged IC efficacy and absence of new safety signals, these results indicate an unprecedented improvement in outcomes for pts with advanced ALK+ NSCLC. Clinical trial information: NCT03052608 . [Table: see text]
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".