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Population-Adjusted Indirect Treatment Comparisons of Repotrectinib Among Patients with ROS1+ NSCLC

Authors
 Jürgen Wolf  ;  Sarah Goring  ;  Adam Lee  ;  Byoung Chul Cho  ;  Alexander Drilon  ;  Yong Yuan  ;  Dieter Ayers  ;  Greta Lozano-Ortega  ;  Ellen E Korol  ;  Sarah G Korpach  ;  Madeleine Crabtree  ;  Lavanya Huria  ;  Christophe Y Calvet  ;  D Ross Camidge 
Citation
 CANCERS, Vol.17(5) : 748, 2025-02 
Journal Title
CANCERS
Issue Date
2025-02
Keywords
ROS1 fusion-positive ; crizotinib ; efficacy ; entrectinib ; lung cancer ; population-adjusted indirect comparisons ; repotrectinib
Abstract
Background: Head-to-head evidence comparing repotrectinib against other approved ROS1 tyrosine kinase inhibitors (TKIs) is not currently available. The objective of this study was to indirectly compare progression-free survival (PFS), the objective response rate (ORR), and the duration of response (DoR) for repotrectinib vs. crizotinib and vs. entrectinib in patients with TKI-naïve ROS1+ locally advanced or metastatic non-small-cell lung cancer (aNSCLC).

Methods: Using evidence from a systematic literature review, unanchored matching-adjusted indirect comparisons (MAICs) were used to estimate population-adjusted hazard ratios (HRs) for PFS and DoR and odds ratios (ORs) for ORR for repotrectinib vs. crizotinib and vs. entrectinib among patients with TKI-naïve aNSCLC. The MAICs were adjusted for imbalances in baseline patient characteristics that were pre-specified as being prognostic or predictive of treatment effects. Weighted Cox (for PFS and DoR) and logistic (for ORR) regression models were fit. Supplementary analyses (SAs) explored the impact of missing data and modeling assumptions on effect estimates.

Results: The evidence base was formed by TRIDENT-1 EXP-1 (repotrectinib; N = 71), a pooled set of five trials involving crizotinib (N = 273), and the pooled ALKA-372-001/STARTRK-1 and -2 trials (entrectinib; N = 168). After population adjustment, repotrectinib was associated with statistically significant improvements in PFS relative to crizotinib (HR = 0.44; 95% confidence interval [CI]: 0.29, 0.67) and entrectinib (HR = 0.57; 95% CI: 0.36, 0.91). Differences in ORR and DoR were not statistically significant but numerically favored repotrectinib. SAs were consistent with the main analyses across all comparisons.

Conclusions: The analysis demonstrated the strong benefits of repotrectinib in PFS, which was robust across different SAs and supported by numerically favorable results for DoR (where available) and ORR. These results, alongside the published TRIDENT-1 clinical data, further support repotrectinib as a potential new standard of care for TKI-naïve patients with ROS1+ aNSCLC.
Files in This Item:
T202505554.pdf Download
DOI
10.3390/cancers17050748
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Cho, Byoung Chul(조병철) ORCID logo https://orcid.org/0000-0002-5562-270X
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/207231
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