Abstract

9070 Background: Entrectinib is an oral tyrosine kinase inhibitor for ROS1+ NSCLC. Three phase 1/2 single-arm studies showed entrectinib efficacy in this population (Doebele WCLC 2018). Due to the rarity of ROS1+ pts generating direct comparative evidence in prospective randomized trials is difficult. We identified a retrospective real-world cohort of ROS1+ NSCLC pts from electronic health records (EHR), to compare crizotinib, the current standard of care, to entrectinib as reported in clinical trials. Methods: Crizotinib-treated pts with advanced ROS1+ NSCLC diagnosed 1 Jan 2011 to 30 Jun 2018, were identified with technology-enabled abstraction in the Flatiron Health EHR-derived database ( > 2.1 million cancer pts from US oncology practice). Entrectinib trial inclusion/exclusion criteria were applied to match the crizotinib cohort as closely as possible. Primary endpoint: TTD, adapted from Gong (ASCO 2018); rwPFS (physician/scan report) and OS were secondary outcomes. Time-to-event analyses used Kaplan-Meier survival curves and Cox proportional hazard models on propensity score weighted populations; age, gender, race/ethnicity, smoking status, brain metastasis and previous lines of therapy were prognostic factors. Results: We analyzed 53 entrectinib and 69 crizotinib ROS1+ NSCLC pts. Median weighted TTD: entrectinib, 14.6 mo (95% CI: 8.3–23.8); crizotinib, 8.8 mo (95% CI: 8.2–9.9). When rwPFS from crizotinib was compared to trial PFS, entrectinib had longer PFS vs crizotinib (weighted HR: 0.44; 95% CI: 0.27–0.74). Median OS with entrectinib was not reached (median follow-up: 15.5 mo); weighted median OS with crizotinib was 18.5 mo (95% CI: 15.1–19.9). Findings were consistent across multiple sensitivity analyses. Conclusions: Entrectinib was associated with longer TTD and PFS in ROS1+ NSCLC pts vs a matched real-world crizotinib population. Control populations derived from real-world cohorts can supplement evidence from clinical trials in settings where new standards of care are needed, but where only limited data are available and randomization is not feasible.

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