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Integration of copy number and transcriptomics provides risk stratification in prostate cancer: A discovery and validation cohort study

Abstract:

Background Understanding the heterogeneous genotypes and phenotypes of prostate cancer is fundamental to improving the way we treat this disease. As yet, there are no validated descriptions of prostate cancer subgroups derived from integrated genomics linked with clinical outcome. Methods In a study of 482 tumour, benign and germline samples from 259 men with primary prostate cancer, we used integrative analysis of copy number alterations (CNA) and array transcriptomics to identify genomic l...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.ebiom.2015.07.017

Authors


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Role:
Author
ORCID:
0000-0003-1338-742X
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Surgical Sciences
Role:
Author
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Role:
Author
ORCID:
0000-0002-8853-9435
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Publisher:
Elsevier Publisher's website
Journal:
EBioMedicine Journal website
Volume:
2
Issue:
9
Pages:
1133-1144
Publication date:
2015-07-29
Acceptance date:
2015-07-14
DOI:
EISSN:
2352-3964
ISSN:
2352-3964
Pmid:
28292578
Source identifiers:
686568
Language:
English
Keywords:
Pubs id:
pubs:686568
UUID:
uuid:07d4b66a-9de7-4ce2-85c3-71f0acd4c553
Local pid:
pubs:686568
Deposit date:
2018-01-08

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