Scinovex
article Open AccessTop 1% cited

Enhanced detection of circulating tumor DNA by fragment size analysis

Science Translational Medicine · 2018 · Vol. 10(466)
Florent MoulièreDineika ChandranandaAnna PiskorzElizabeth MooreJames MorrisLise Barlebo AhlbornRichard MairTeodora GoranovaFrancesco MarassKatrin HeiderJonathan C. M. WanAnna SupernatIrena HudecovaIoannis GounarisSusana R�osMercedes Jimenez‐LiñanJavier García-CorbachoKeval PatelOľga ØstrupSuzanne MurphyMatthew EldridgeDavina GaleGrant D. StewartJohanna BurgeWendy N. CooperMichiel S. van der HeijdenCharles MassieColin WattsPippa CorrieSimon PaceyKevin M. BrindleRichard D. BairdMorten Mau‐SørensenChristine ParkinsonChristopher G. SmithJames D. BrentonNitzan Rosenfeld

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.

Cancer Genomics and DiagnosticsLung Cancer Treatments and MutationsGenetic factors in colorectal cancerFragment (logic)DNAIn silicoComputational biologyDNA sequencingMolecular biologyCirculating tumor DNABiologyGeneticsGene

MeSH terms

Machine LearningWhole Genome SequencingCirculating Tumor DNAAnimalsHumansMutationGenome, HumanMiceDNA Copy Number Variations

Funding

  • AstraZeneca
  • Cancer Research UK
  • National Institute for Health and Care Research
  • Rigshospitalet
  • Imperial Experimental Cancer Medicine Centre
  • Medical Research Council
  • Engineering and Physical Sciences Research Council
  • Cancer Research UK Cambridge Institute, University of Cambridge
  • H2020 European Research Council
Citations
1,050
FWCI
32.17
field-weighted impact
References
51
Percentile
100%
vs. same field & year
Citations per year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.

Enhanced detection of circulating tumor DNA by fragment size analysis · Scinovex