Abstract 5603: Analytical validation of a comprehensive 500-gene ctDNA panel designed for immuno-oncology and DNA damage research
Authors: Elena Helman, Carlo Artieri, James V. Vowles, Jennifer Yen, Tracy Nance, Marcin Sikora, Joshua Gourneau, Mohit Goel, Stefanie Mortimer, Darya Chudova, Justin Odegaard, Richard B. Lanman, AmirAli Talasaz
Journal: Cancer Research (2018)

Abstract Background: Translational research and enrollment in clinical trials are limited by the rarity of individual mutations and lack of sufficient tissue for comprehensive testing. To address these limitations, we developed GuardantOMNI (OMNI), a highly sensitive 500-gene cfDNA sequencing test requiring as little as 2 mL of plasma and designed for broad genomic detection of somatic single-nucleotide variants (SNVs) and small indels in 497 genes, copy number amplifications (CNAs) in 106 genes, and fusions in 21 genes. Additionally, the OMNI panel enables assessment of tumor mutational burden (TMB), and DNA damage and mismatch repair, with coverage of over 30 genes associated with the DDR pathway. Here we present the first analytical validation study of OMNI. Methods: Analytical performance was assessed as per Nex-StoCT Working Group guidelines using precharacterized cell lines and healthy normal donor-derived samples. Qualitative and quantitative orthogonal confirmation was provided by exome sequencing, microarrays, and data from published compendia. Results: Seventy-three validation and 150 development plasma samples were processed for this study, using both 5ng and 30ng cfDNA input levels, and all samples passed sequencing QC metrics established prior to testing. Reportable ranges for SNVs were ≥0.04% variant allele fraction (VAF), ≥0.02% for indels, ≥2 supporting molecules for fusions, and ≥2.18 copies for CNAs. Cell line-based dilution studies demonstrated 95% limits of detection (LoD) of 0.24-0.6% VAF for SNVs (depending on known cancer association), 0.4-0.8% for non-homopolymeric indels (depending on clinical relevance), 0.1-0.2% for fusions, and 2.2-2.9 copies for 90% of CNA genes targeted. Comparison of diluted cell line and healthy donor samples to orthogonal sequencing and published genotype data demonstrated accuracies of 98.7% for SNVs, 97.2% for indels, and 100% for CNAs and fusions across the reportable range. The analytical false-positive rate per sample measured across 24 healthy donors was 0.25 for SNVs, 0.04 for indels, and 0 for CNAs and fusions, with positive predictive values (PPVs) of 97.5% for SNVs, 98% for indels, and 100% for CNAs and fusions. Quantitative correlation of allele fraction with confirmatory methods was high (r2 &amp;gt; 0.99). Conclusions: To our knowledge, OMNI is the largest comprehensive ctDNA cancer gene panel available. It detects alterations in genes under study in over 98% of current clinical trials with sensitivity, specificity, and accuracy similar to currently available targeted ctDNA sequencing tests. OMNI has the potential to accelerate clinical trial enrollment, research and discovery with a single, noninvasive blood sample. Citation Format: Elena Helman, Carlo Artieri, James V. Vowles, Jennifer Yen, Tracy Nance, Marcin Sikora, Joshua Gourneau, Mohit Goel, Stefanie Mortimer, Darya Chudova, Justin Odegaard, Richard B. Lanman, AmirAli Talasaz. Analytical validation of a comprehensive 500-gene ctDNA panel designed for immuno-oncology and DNA damage research [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5603.