PeerView (PVI) is a leading provider of high-quality, innovative continuing education (CME/CE/CPE and MOC) for clinicians and their interprofessional teams. Combining evidence-based medicine and instructional expertise, PeerView activities improve the knowledge, skills, and strategies that support clinical performance and patient outcomes. PeerView makes its educational programming and expert-led presentations and symposia available through its network of popular podcast channels to support specific specialties and conditions. Each episode includes a link to request CME/CE credit for participation. PeerView is solely responsible for the selection of topics, the preparation of editorial content, and the distribution of all materials it publishes.
http://ww2.peerview.com
Alexander Drilon, MD - Improving Clinical Care With Newer, Better Therapies for Targeting Actionable Gene Fusions in NSCLC
Go online to PeerView.com/CNV860 to view the activity, download slides and practice aids, and complete the post-test to earn credit. In this activity, an expert in thoracic oncology discusses the expanding role of biomarker testing as well as current and emerging options for targeted treatment of fusion-positive NSCLC. Upon completion of this activity, participants should be better able to: Describe the role of gene fusions, such as ALK, ROS1, NTRK, and RET, in the oncogenesis of NSCLC and the importance of detecting them in practice to inform treatment decisions; Implement best practices for biomarker testing in NSCLC, including next generation sequencing and appropriate assays for detecting gene fusions, to identify patients with gene fusions who might benefit from targeted therapy; Apply the latest evidence on targeted therapies for gene fusions to inform treatment decisions for patients with gene fusion–positive NSCLC; and Incorporate targeted therapies into individualized treatment plans for patients with gene fusion–positive NSCLC according to biomarker status, current evidence and guidelines, and patient needs, values, and preferences.