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Mapping the breast cancer metastatic cascade onto ctDNA using genetic and epigenetic clonal tracking.
Cresswell, George D; Nichol, Daniel; Spiteri, Inmaculada; Tari, Haider; Zapata, Luis; Heide, Timon; Maley, Carlo C; Magnani, Luca; Schiavon, Gaia; Ashworth, Alan; Barry, Peter; Sottoriva, Andrea.
Affiliation
  • Cresswell GD; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Nichol D; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Spiteri I; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Tari H; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Zapata L; Glioma Lab, The Institute of Cancer Research, London, UK.
  • Heide T; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Maley CC; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Magnani L; Arizona Cancer Evolution Center, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
  • Schiavon G; Department of Surgery and Cancer, Imperial College London, London, UK.
  • Ashworth A; Breast Unit, Royal Marsden Hospital, London, UK.
  • Barry P; AstraZeneca, Oncology R&D, Cambridge, UK.
  • Sottoriva A; UCSF Helen Diller Family Comprehensive Cancer Center, 1450 3rd St, San Francisco, CA, 94158, USA.
Nat Commun ; 11(1): 1446, 2020 03 27.
Article in En | MEDLINE | ID: mdl-32221288
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Epigenesis, Genetic / Circulating Tumor DNA Type of study: Prognostic_studies Limits: Female / Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2020 Document type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Epigenesis, Genetic / Circulating Tumor DNA Type of study: Prognostic_studies Limits: Female / Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2020 Document type: Article Affiliation country: United kingdom
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