An Unbiased Functional Genetics Screen Identifies Rare Activating ERBB4 Mutations

Abstract

<p>Despite the relatively high frequency of somatic <i>ERBB4</i> mutations in various cancer types, only a few activating <i>ERBB4</i> mutations have been characterized, primarily due to lack of mutational hotspots in the <i>ERBB4</i> gene. Here, we utilized our previously published pipeline, an <i>in vitro</i> screen for activating mutations, to perform an unbiased functional screen to identify potential activating ERBB4 mutations from a randomly mutated <i>ERBB4</i> expression library. Ten potentially activating <i>ERBB4</i> mutations were identified and subjected to validation by functional and structural analyses. Two of the 10 ERBB4 mutants, E715K and R687K, demonstrated hyperactivity in all tested cell models and promoted cellular growth under two-dimensional and three-dimensional culture conditions. ERBB4 E715K also promoted tumor growth in in vivo Ba/F3 cell mouse allografts. Importantly, all tested ERBB4 mutants were sensitive to the pan-ERBB tyrosine kinase inhibitors afatinib, neratinib, and dacomitinib. Our data indicate that rare <i>ERBB4</i> mutations are potential candidates for ERBB4-targeted therapy with pan-ERBB inhibitors.</p><p><b>Statement of Significance:</b></p><p>ERBB4 is a member of the ERBB family of oncogenes that is frequently mutated in different cancer types but the functional impact of its somatic mutations remains unknown. Here, we have analyzed the function of over 8,000 randomly mutated ERBB4 variants in an unbiased functional genetics screen. The data indicate the presence of rare activating ERBB4 mutations in cancer, with potential to be targeted with clinically approved pan-ERBB inhibitors.</p>