Sensitive tumour detection and classification using plasma cell-free DNA methylomes
Male
0301 basic medicine
Plasma cfDNA
DNA Mutational Analysis
[SDV.CAN]Life Sciences [q-bio]/Cancer
Mice, SCID
Differentially Methylated CpGs (DMCs)
Adenocarcinoma
Epigenesis, Genetic
Mice
03 medical and health sciences
Mice, Inbred NOD
[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN]
Cell Line, Tumor
Biomarkers, Tumor
Unique Molecular Identifiers (UMIs)
Animals
Humans
Differentially Methylated Regions (DMRs)
Early Detection of Cancer
Liquid Biopsy
DNA, Neoplasm
DNA Methylation
Reduced Representation Bisulfite Sequencing (RRBS)
3. Good health
Heterografts
Female
Colorectal Neoplasms
Cell-Free Nucleic Acids
Neoplasm Transplantation
DOI:
10.1038/s41586-018-0703-0
Publication Date:
2018-11-13T12:03:47Z
AUTHORS (38)
ABSTRACT
The use of liquid biopsies for cancer detection and management is rapidly gaining prominence1. Current methods for the detection of circulating tumour DNA involve sequencing somatic mutations using cell-free DNA, but the sensitivity of these methods may be low among patients with early-stage cancer given the limited number of recurrent mutations2-5. By contrast, large-scale epigenetic alterations-which are tissue- and cancer-type specific-are not similarly constrained6 and therefore potentially have greater ability to detect and classify cancers in patients with early-stage disease. Here we develop a sensitive, immunoprecipitation-based protocol to analyse the methylome of small quantities of circulating cell-free DNA, and demonstrate the ability to detect large-scale DNA methylation changes that are enriched for tumour-specific patterns. We also demonstrate robust performance in cancer detection and classification across an extensive collection of plasma samples from several tumour types. This work sets the stage to establish biomarkers for the minimally invasive detection, interception and classification of early-stage cancers based on plasma cell-free DNA methylation patterns.
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