Author
Listed:
- J. -B. Cazier
(Bioinformatics Group, University of Oxford
Cancer Research UK, Oxford Cancer Research Centre, University of Oxford)
- S. R. Rao
(Botnar Research Centre, University of Oxford
University of Oxford)
- C. M. McLean
(Cancer Research UK, Oxford Cancer Research Centre, University of Oxford
Gray Institute for Radiobiology and Oncology, University of Oxford)
- A. K. Walker
(Cancer Research UK, Oxford Cancer Research Centre, University of Oxford
Gray Institute for Radiobiology and Oncology, University of Oxford)
- B. J. Wright
(Bioinformatics and Statistical Genetics Core, Wellcome Trust Centre for Human Genetics)
- E. E. M. Jaeger
(Molecular and Population Genetics Laboratory, Wellcome Trust Centre for Human Genetics)
- C. Kartsonaki
(Bioinformatics Group, University of Oxford)
- L. Marsden
(Cancer Research UK, Oxford Cancer Research Centre, University of Oxford
University of Oxford)
- C. Yau
(Yau Group, Wellcome Trust Centre for Human Genetics)
- C. Camps
(NIHR Comprehensive Biomedical Research Centre, Wellcome Trust Centre for Human Genetics)
- P. Kaisaki
(NIHR Comprehensive Biomedical Research Centre, Wellcome Trust Centre for Human Genetics)
- J. Taylor
(NIHR Comprehensive Biomedical Research Centre, Wellcome Trust Centre for Human Genetics)
- J. W. Catto
(Academic Urology Unit, University of Sheffield)
- I. P. M. Tomlinson
(Cancer Research UK, Oxford Cancer Research Centre, University of Oxford
Molecular and Population Genetics Laboratory, Wellcome Trust Centre for Human Genetics
NIHR Comprehensive Biomedical Research Centre, Wellcome Trust Centre for Human Genetics)
- A. E. Kiltie
(Cancer Research UK, Oxford Cancer Research Centre, University of Oxford
Gray Institute for Radiobiology and Oncology, University of Oxford)
- F. C. Hamdy
(Cancer Research UK, Oxford Cancer Research Centre, University of Oxford
University of Oxford)
Abstract
Bladder cancers are a leading cause of death from malignancy. Molecular markers might predict disease progression and behaviour more accurately than the available prognostic factors. Here we use whole-genome sequencing to identify somatic mutations and chromosomal changes in 14 bladder cancers of different grades and stages. As well as detecting the known bladder cancer driver mutations, we report the identification of recurrent protein-inactivating mutations in CDKN1A and FAT1. The former are not mutually exclusive with TP53 mutations or MDM2 amplification, showing that CDKN1A dysfunction is not simply an alternative mechanism for p53 pathway inactivation. We find strong positive associations between higher tumour stage/grade and greater clonal diversity, the number of somatic mutations and the burden of copy number changes. In principle, the identification of sub-clones with greater diversity and/or mutation burden within early-stage or low-grade tumours could identify lesions with a high risk of invasive progression.
Suggested Citation
J. -B. Cazier & S. R. Rao & C. M. McLean & A. K. Walker & B. J. Wright & E. E. M. Jaeger & C. Kartsonaki & L. Marsden & C. Yau & C. Camps & P. Kaisaki & J. Taylor & J. W. Catto & I. P. M. Tomlinson & , 2014.
"Whole-genome sequencing of bladder cancers reveals somatic CDKN1A mutations and clinicopathological associations with mutation burden,"
Nature Communications, Nature, vol. 5(1), pages 1-13, September.
Handle:
RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms4756
DOI: 10.1038/ncomms4756
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