Enhanced detection of circulating tumor DNA by fragment size analysis

Florent Moulière(University of Cambridge), Dineika Chandrananda(University of Cambridge), Anna Piskorz(University of Cambridge), Elizabeth Moore(University of Cambridge), James Morris(University of Cambridge), Lise Barlebo Ahlborn(Copenhagen University Hospital), Richard Mair(University of Cambridge), Teodora Goranova(University of Cambridge), Francesco Marass(SIB Swiss Institute of Bioinformatics), Katrin Heider(University of Cambridge), Jonathan C. M. Wan(University of Cambridge), Anna Supernat(University of Cambridge), Irena Hudecova(University of Cambridge), Ioannis Gounaris(University of Cambridge), Susana R�os(University of Cambridge), Mercedes Jimenez‐Liñan(Cancer Research UK), Javier García-Corbacho(Hospital Clínic de Barcelona), Keval Patel(University of Cambridge), Oľga Østrup(Copenhagen University Hospital), Suzanne Murphy(University of Cambridge), Matthew Eldridge(University of Cambridge), Davina Gale(University of Cambridge), Grant D. Stewart(University of Cambridge), Johanna Burge(University of Cambridge), Wendy N. Cooper(University of Cambridge), Michiel S. van der Heijden(The Netherlands Cancer Institute), Charles Massie(University of Cambridge), Colin Watts(University of Birmingham), Pippa Corrie(Cambridge University Hospitals NHS Foundation Trust), Simon Pacey(University of Cambridge), Kevin M. Brindle(University of Cambridge), Richard D. Baird(Cancer Research UK), Morten Mau‐Sørensen(Copenhagen University Hospital), Christine Parkinson(University of Cambridge), Christopher G. Smith(University of Cambridge), James D. Brenton(University of Cambridge), Nitzan Rosenfeld(University of Cambridge)
Science Translational Medicine
November 7, 2018
Cited by 1,079Open Access
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Abstract

Existing methods to improve detection of circulating tumor DNA (ctDNA) have focused on genomic alterations but have rarely considered the biological properties of plasma cell-free DNA (cfDNA). We hypothesized that differences in fragment lengths of circulating DNA could be exploited to enhance sensitivity for detecting the presence of ctDNA and for noninvasive genomic analysis of cancer. We surveyed ctDNA fragment sizes in 344 plasma samples from 200 patients with cancer using low-pass whole-genome sequencing (0.4×). To establish the size distribution of mutant ctDNA, tumor-guided personalized deep sequencing was performed in 19 patients. We detected enrichment of ctDNA in fragment sizes between 90 and 150 bp and developed methods for in vitro and in silico size selection of these fragments. Selecting fragments between 90 and 150 bp improved detection of tumor DNA, with more than twofold median enrichment in >95% of cases and more than fourfold enrichment in >10% of cases. Analysis of size-selected cfDNA identified clinically actionable mutations and copy number alterations that were otherwise not detected. Identification of plasma samples from patients with advanced cancer was improved by predictive models integrating fragment length and copy number analysis of cfDNA, with area under the curve (AUC) >0.99 compared to AUC <0.80 without fragmentation features. Increased identification of cfDNA from patients with glioma, renal, and pancreatic cancer was achieved with AUC > 0.91 compared to AUC < 0.5 without fragmentation features. Fragment size analysis and selective sequencing of specific fragment sizes can boost ctDNA detection and could complement or provide an alternative to deeper sequencing of cfDNA.


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