Technical Validation of a Next-Generation Sequencing Assay for Detecting Clinically Relevant Levels of Breast Cancer-Related Single-Nucleotide Variants and Copy Number Variants Using Simulated Cell-Free DNA

Abstract

Next-generation sequencing (NGS) is commonly used in a clinical setting for diagnostic and prognostic testing of genetic mutations to select optimal targeted therapies. Herein, we describe the development of a custom NGS assay for detecting single-nucleotide variants (SNVs) and copy number variations (CNVs) in a panel of 51 genes related to breast cancer. We designed and implemented a validation strategy in accordance with principles and guidelines developed by the Next-Generation Sequencing: Standardization of Clinical Testing work group using artificial, cell-free DNA (cfDNA) with mutant fragments prepared in a simple, rapid, and cost-effective manner. For SNV detection, our test had 96.30% sensitivity at mutant allele frequency ≥0.5% with high specificity (99.9997%) and accuracy (99.9996%). For CNV detection, the approach had 95.83% sensitivity for copy numbers at 1.25× (25.6% extra copies) with high specificity (99.77%) and accuracy (99.76%). In addition, our NGS-based assay demonstrated high intrarun and interrun reproducibility, high consistency compared to digital PCR, and a low cross-contamination rate. An overall assessment using cfDNA and plasma cfDNA samples demonstrated our custom NGS assay yields a reliable and robust detection sensitivity with a mutant allele frequency as low as 0.5% for SNVs and copy number of 1.25× for CNVs.