Abstract

8067 Background: RET and ROS1 fusions have been identified pre-clinically as drivers of tumor growth in lung adenocarcinomas. In addition, based on response to crizotinib in ROS1-positive tumors and emerging data on RET inhibition in some tumors, these fusions represent druggable targets. While each occurs in 1-2% of unselected patients, a screening paradigm based on testing never-smokers whose tumors have no known oncogenic mutations or fusions may enrich identification for ongoing clinical trials. Methods: Patients with a never-smoking history (<100 lifetime cigarettes) and advanced pan-negative lung adenocarcinomas (absence of mutations in EGFR, KRAS, NRAS, BRAF, HER2, PIK3CA, MEK1, and AKT, and ALK fusions) were selected for testing. Screening for RET and ROS1 fusions was performed in real-time via dual-probe FISH breakapart assays, RT-PCR, and next-generation sequencing in selected cases. We enrolled patients onto a phase II trial of cabozantinib for RET fusion-positive lung cancers (NCT01639508) and, as part of the Lung Cancer Mutation Consortium (LCMC), a phase I trial of crizotinib for ROS1-positive lung cancers (NCT00585195). Results: Thirty five (n=35) never-smokers with advanced pan-negative lung adenocarcinomas were identified. A RET or ROS1 fusion was found in 31% [n=10/32, 95% CI, 15-47%] of patients. RET and ROS1 fusions were found in 15% [n=5/34, 95% CI, 3% - 27%] and 15% [n=5/33, 95% CI, 2%-27%] of patients, respectively. 1 patient had a novel TRIM33-RET fusion. 3 of 5 patients with RET fusion-positive tumors were eligible for treatment with cabozantinib, 2 of which had partial responses to therapy. 1 of 5 patients with ROS1 fusion-positive tumors was treated on-protocol with crizotinib and achieved a partial response. Conclusions: 31% of never-smokers with pan-negative advanced lung adenocarcinomas harbor a gene fusion involving either RET or ROS1. Until multiplexed mutation and fusion testing is routinely available, targeting this population for screening represents an interim enrichment strategy for patient identification and enrollment on clinical trials where responses are already being documented.

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