Instructor Washington University School of Medicine in St. Louis Clayton, Missouri, United States
Description: This session will explore methodologies employed to classifying gene fusions based on their oncogenic potential. Fusion oncogenicity classification is an imperative first step to determining whether the fusion has clinically diagnostic properties or is clinically actionable through targeted therapy. We will discuss the integration of bioinformatics tools, the use of curated databases, and the curation of the literature to create classifications. Emphasis will be placed on emerging community consensus guidelines being generated to assess fusion oncogenicity in a gene agnostic or gene specific manner.
Learning Objectives: - Describe key resources and tools for assessing the oncogenicity of gene fusions. - Define criteria necessary for establishing fusion oncogenicity classifications through evidence based curation - Classify fusion oncogenicity using community consensus-driven frameworks
