dc.contributor.author | Cresswell, GD | |
dc.contributor.author | Nichol, D | |
dc.contributor.author | Spiteri, I | |
dc.contributor.author | Tari, H | |
dc.contributor.author | Zapata, L | |
dc.contributor.author | Heide, T | |
dc.contributor.author | Maley, CC | |
dc.contributor.author | Magnani, L | |
dc.contributor.author | Schiavon, G | |
dc.contributor.author | Ashworth, A | |
dc.contributor.author | Barry, P | |
dc.contributor.author | Sottoriva, A | |
dc.date.accessioned | 2020-04-01T10:31:02Z | |
dc.date.issued | 2020-03-27 | |
dc.identifier.citation | Nature communications, 2020, 11 (1), pp. 1446 - ? | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/3565 | |
dc.identifier.eissn | 2041-1723 | |
dc.identifier.doi | 10.1038/s41467-020-15047-9 | |
dc.description.abstract | Circulating tumour DNA (ctDNA) allows tracking of the evolution of human cancers at high resolution, overcoming many limitations of tissue biopsies. However, exploiting ctDNA to determine how a patient's cancer is evolving in order to aid clinical decisions remains difficult. This is because ctDNA is a mix of fragmented alleles, and the contribution of different cancer deposits to ctDNA is largely unknown. Profiling ctDNA almost invariably requires prior knowledge of what genomic alterations to track. Here, we leverage on a rapid autopsy programme to demonstrate that unbiased genomic characterisation of several metastatic sites and concomitant ctDNA profiling at whole-genome resolution reveals the extent to which ctDNA is representative of widespread disease. We also present a methylation profiling method that allows tracking evolutionary changes in ctDNA at single-molecule resolution without prior knowledge. These results have critical implications for the use of liquid biopsies to monitor cancer evolution in humans and guide treatment. | |
dc.format | Electronic | |
dc.format.extent | 1446 - ? | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | NATURE PORTFOLIO | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Clone Cells | |
dc.subject | Humans | |
dc.subject | Breast Neoplasms | |
dc.subject | Neoplasm Metastasis | |
dc.subject | DNA Methylation | |
dc.subject | Epigenesis, Genetic | |
dc.subject | Drug Resistance, Neoplasm | |
dc.subject | Genome, Human | |
dc.subject | Female | |
dc.subject | Clonal Evolution | |
dc.subject | Circulating Tumor DNA | |
dc.title | Mapping the breast cancer metastatic cascade onto ctDNA using genetic and epigenetic clonal tracking. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2020-02-18 | |
rioxxterms.versionofrecord | 10.1038/s41467-020-15047-9 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2020-03-27 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Nature communications | |
pubs.issue | 1 | |
pubs.notes | No embargo | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Molecular Pathology | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Molecular Pathology/Evolutionary Genomics & Modelling | |
pubs.organisational-group | /ICR/Students | |
pubs.organisational-group | /ICR/Students/PhD and MPhil | |
pubs.organisational-group | /ICR/Students/PhD and MPhil/16/17 Starting Cohort | |
pubs.organisational-group | /ICR/Students/PhD and MPhil/17/18 Starting Cohort | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Molecular Pathology | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Molecular Pathology/Evolutionary Genomics & Modelling | |
pubs.organisational-group | /ICR/Students | |
pubs.organisational-group | /ICR/Students/PhD and MPhil | |
pubs.organisational-group | /ICR/Students/PhD and MPhil/16/17 Starting Cohort | |
pubs.organisational-group | /ICR/Students/PhD and MPhil/17/18 Starting Cohort | |
pubs.publication-status | Published | |
pubs.volume | 11 | |
pubs.embargo.terms | No embargo | |
icr.researchteam | Evolutionary Genomics & Modelling | |
dc.contributor.icrauthor | Cresswell, George | |
dc.contributor.icrauthor | Spiteri Sagastume, Maria | |
dc.contributor.icrauthor | Tari, Haider | |
dc.contributor.icrauthor | Zapata Ortiz, Luis | |
dc.contributor.icrauthor | Heide, Timon | |
dc.contributor.icrauthor | Magnani, Luca | |
dc.contributor.icrauthor | Sottoriva, Andrea | |