Development of a highly sensitive liquid biopsy platform to detect clinically-relevant cancer mutations at low allele fractions in cell-free DNA

Davina Gale(Granta Design (United Kingdom)), Andrew Lawson(Granta Design (United Kingdom)), Karen Howarth(Granta Design (United Kingdom)), Mikidache Madi(Granta Design (United Kingdom)), Bradley Durham(Granta Design (United Kingdom)), Sarah Smalley(Triangle), John D. Calaway(Triangle), Shannon Blais(Triangle), Greg Jones(Triangle), James J. Clark(Granta Design (United Kingdom)), Peter Dimitrov(Granta Design (United Kingdom)), Michelle Pugh(Granta Design (United Kingdom)), Samuel Woodhouse(Granta Design (United Kingdom)), Michael Epstein(Granta Design (United Kingdom)), Ana Fernández-González, Alexandra S. Whale, Jim F. Huggett(University of Surrey), Carole A. Foy, Gerwyn M. Jones(Triangle), Hadas Raveh-Amit(Horizon Discovery (United Kingdom)), Karin Schmitt(Horizon Discovery (United Kingdom)), Alison S. Devonshire, Emma Green(Granta Design (United Kingdom)), Tim Forshew(Granta Design (United Kingdom)), Vincent Plagnol(Granta Design (United Kingdom)), Nitzan Rosenfeld(Granta Design (United Kingdom))
PLoS ONE
March 16, 2018
Cited by 171Open Access
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Abstract

INTRODUCTION: Detection and monitoring of circulating tumor DNA (ctDNA) is rapidly becoming a diagnostic, prognostic and predictive tool in cancer patient care. A growing number of gene targets have been identified as diagnostic or actionable, requiring the development of reliable technology that provides analysis of multiple genes in parallel. We have developed the InVision™ liquid biopsy platform which utilizes enhanced TAm-Seq™ (eTAm-Seq™) technology, an amplicon-based next generation sequencing method for the identification of clinically-relevant somatic alterations at low frequency in ctDNA across a panel of 35 cancer-related genes. MATERIALS AND METHODS: We present analytical validation of the eTAm-Seq technology across two laboratories to determine the reproducibility of mutation identification. We assess the quantitative performance of eTAm-Seq technology for analysis of single nucleotide variants in clinically-relevant genes as compared to digital PCR (dPCR), using both established DNA standards and novel full-process control material. RESULTS: The assay detected mutant alleles down to 0.02% AF, with high per-base specificity of 99.9997%. Across two laboratories, analysis of samples with optimal amount of DNA detected 94% mutations at 0.25%-0.33% allele fraction (AF), with 90% of mutations detected for samples with lower amounts of input DNA. CONCLUSIONS: These studies demonstrate that eTAm-Seq technology is a robust and reproducible technology for the identification and quantification of somatic mutations in circulating tumor DNA, and support its use in clinical applications for precision medicine.


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