The Evolutionary History of Lethal Metastatic Prostate Cancer
- Submitting institution
-
The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182619596
- Type
- D - Journal article
- DOI
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10.1038/nature14347
- Title of journal
- Nature
- Article number
- -
- First page
- 353
- Volume
- 520
- Issue
- 7547
- ISSN
- 1476-4687
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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29
- Research group(s)
-
-
- Citation count
- 693
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Using whole genome sequence data, this work introduces modelling populations of tumour cells in multiple samples from a patient using an n-dimensional Bayesian Dirichlet process using cancer cell frequency. The mutations are clustered and evolutionary phylogeny of the disease reconstructed. This approach is now used regularly in multi-sample per patient cancer genomic studies e.g. Gerstung et al. Nature 578, 122–128 (2020). It has given new insight into how cancer spreads around the body and provoked discussion on treatment (e.g. EACR Cancer Genomics 2015). Brewer was chair of the CRUK-ICGC prostate group bioinformatics committee that produced this work.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -