Diagnosis of Fusion-Associated Sarcomas by Exon Expression Imbalance and Gene Expression

Abstract

Sarcomas are a diverse group of tumors, with >70 subtypes in the current World Health Organization classification, each with distinct biological behavior requiring specific clinical management. A significant portion of sarcomas are molecularly defined by expression of a driver fusion gene; identification of such fusions is the basis of molecular diagnostics in sarcomas, which is of increasing complexity due to the ongoing discovery of new gene fusions. Recently, a multiplex NanoString platform-based assay was developed and clinically implemented, with fusion junction-spanning probes that detect the majority of sarcoma fusion types, with high sensitivity and specificity, and with lower cost and shorter turnaround time than those of targeted next-generation sequencing-based alternatives. Despite the effectiveness of this assay, there are several entities for which fusion-junction probes are not suitable due to multiple possible gene partners or excessive variability at the exon junctions. Here, the development and evaluation of a companion assay are described that uses NanoString-based gene expression analysis to detect aberrant 3'/5' exon expression imbalance and/or total gene overexpression as a surrogate marker for fusion gene rearrangement. This assay evaluates exon imbalance in 23 genes involved in over 25 mesenchymal tumor types and five genes specific to sarcomas with CIC rearrangements. Based on evaluation of 115 retrospectively and 91 prospectively collected cases, an assay sensitivity of 92.8% and specificity of 93.5% are demonstrated.