Hussam Al-Kateb, Shannon M Knight, Gopinath Sivasankaran, Jesse S Voss, Beth A Pitel, Joseph H Blommel, Calvin R Jerde, Kandeleria M Rumilla, Jodi L Lee, Nate R Mattson, Kim P Lauer, Eric A Zimmerman Zuckerman, Chris D Hofich, Dragana Milosevic, Joe Thompson, Lori S Tillmans, Tony T Stai, Surendra Dasari, Amber L Pryzbylski, Lisa G Mullineaux, Cris M Ida, Robert B Jenkins, Sounak Gupta, Benjamin R Kipp, Kevin C Halling
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引用次数: 0
Abstract
The TruSight Oncology 500 (TSO500) High-Throughput is a genomic profiling assay (Illumina, Inc.), supported by a bioinformatic analysis pipeline to evaluate somatic SNV/DELINS, gene amplification (GA), microsatellite instability (MSI), tumor mutational burden (TMB), gene fusion (GF), and splice variants (SV) in solid tumors. This study outlines the approach used by the Genomics Laboratory at the Mayo Clinic to evaluate the technical performance of TSO500. The assessment involved 104 DNA and 223 RNA samples extracted from over 20 tumor types. The assay demonstrated robust performance using 40 ng of input DNA and RNA, with slightly improved results observed at 60 ng of input DNA. Tumor percentage (TP) significantly influenced assay performance, with all variants being detected at 93% and 85% and above at TP >50% and >20%, respectively. Precision exceeded 93% across all variant types, including SNVs and DELINS with a variant allele frequency of ≥5%. Accuracy was ≥97% for all variant types except for TMB, which was 83.3% when compared to the reference method (Foundation Medicine). Most discordant TMB cases had scores in the range of 8-12 mutations per megabase. Overall, the TSO500 assay demonstrated strong performance and reliable accuracy in detecting the evaluated markers.
期刊介绍:
The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology (AMP), co-owned by the American Society for Investigative Pathology (ASIP), seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome for review articles that contain: novel discoveries or clinicopathologic correlations including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, clinical informatics, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods which may be applied to diagnosis or monitoring of disease or disease predisposition.