Abstract 5705: Analytical validation of Guardant360 v2.10

Guardant360 is a cell-free circulating tumor DNA (ctDNA) test that genotypes all guideline-recommended solid tumor somatic genomic treatment targets from a single non-invasive blood draw. The new version, v2.10, was redesigned to enhance sensitivity and specificity across 73 cancer-related genes. It detects all four major variant classes (single nucleotide variants, SNVs, in all 73 genes; indels in 23 genes; gene amplifications, CNAs, in 18 genes; and fusions in 6 genes). Analytical performance was assessed throughout the reportable range via multiple serial dilution studies of orthogonally-characterized contrived and patient samples. Analytical specificity was assessed by calculating the false positive rate in pre-characterized healthy donor sample mixtures serially diluted. Positive predictive value (PPV) was estimated as a function of allelic fraction/copy number from pre-characterized samples and prevalence-adjusted using a cohort of 2,585 consecutive clinical samples. Confirmation was performed using ddPCR. Analytical specificity was 100% for SNVs, fusions, and CNAs and 96% for indels across 25 defined samples. Relative to Guardant360v2.9, v2.10 demonstrated 20-50% increase in fusion molecule recovery. Retrospective in silico analysis of 2,585 consecutive clinical samples demonstrated a 15% increase in actionable fusion detection, a 6%-15% increase in actionable indel detection (excluding newly reportable indels), and a 3%-6% increase in actionable SNV detection. Guardant360 analytical performance characteristics based on standard cfDNA input (30ng). Analytical sensitivity/limit of detection estimates are provided for clinically actionable variants and may vary by sequence context and cfDNA input. PPV is estimated across entire reportable panel space (PPV was 100% for clinically actionable variants). Conclusion: Guardant360 v2.10 comprehensively detects all adult solid tumor guideline-recommended somatic genomic variants with unparalleled sensitivity, accuracy, and specificity. Citation Format: James Vowles, Justin Odegaard, Stefanie Mortimer, Stephen Fairclough, Marcin Sikora, Diana Abdueva, Reza Mokhtari, Arthur Baca, AmirAli Talasaz. Analytical validation of Guardant360 v2.10 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5705. doi:10.1158/1538-7445.AM2017-5705