Nature Communications · 2021 · 94 citations · 50 references
MedicineMolecular BiologyOncologyCancer GeneticsGenomicsMolecular OncologyCancer BiomarkersCancer GenomicsCirculating Tumor Dna AnalysisColorectal CancerDna SequencingMolecular Tumor ProfilingCirculating Cell-free Dna AnalysisCirculating Tumor Dna DynamicsDegradationDisease Progression PredictionExon JunctionsExon-intron BoundariesTargeted Next-generation SequencingTumor Profiling
Profiling of circulating tumor DNA (ctDNA) may offer a non-invasive approach to monitor disease progression. Here, we develop a quantitative method, exploiting local tissue-specific cell-free DNA (cfDNA) degradation patterns, that accurately estimates ctDNA burden independent of genomic aberrations. Nucleosome-dependent cfDNA degradation at promoters and first exon-intron junctions is strongly associated with differential transcriptional activity in tumors and blood. A quantitative model, based on just 6 regulatory regions, could accurately predict ctDNA levels in colorectal cancer patients. Strikingly, a model restricted to blood-specific regulatory regions could predict ctDNA levels across both colorectal and breast cancer patients. Using compact targeted sequencing (<25 kb) of predictive regions, we demonstrate how the approach could enable quantitative low-cost tracking of ctDNA dynamics and disease progression.
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