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How subclonal modeling is changing the metastatic paradigm

Abstract:
A concerted effort to sequence matched primary and metastatic tumors is vastly improving our ability to understand metastasis in humans. Compelling evidence has emerged that supports the existence of diverse and surprising metastatic patterns. Enhancing these efforts is a new class of algorithms that facilitate high-resolution subclonal modeling of metastatic spread. Here we summarize how subclonal models of metastasis are influencing the metastatic paradigm.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1158/1078-0432.CCR-16-0234

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author
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Grant:
1047581 and 1104010 (to C.M. Hovens and N.M. Corcoran)
Australian Prostate Cancer Research Centres More from this funder
More from this funder
Grant:
A15973 and A15601d; to G. Macintyre
Francis Crick Institute More from this funder
Publisher:
American Association for Cancer Research Publisher's website
Journal:
Clinical Cancer Research Journal website
Volume:
23
Issue:
3
Pages:
630-635
Publication date:
2016-11-18
Acceptance date:
2016-10-11
DOI:
EISSN:
1557-3265
ISSN:
1078-0432
Source identifiers:
693592
Language:
English
Keywords:
Pubs id:
pubs:693592
UUID:
uuid:338aebfc-5e7e-4984-ba9e-060fb9cb1682
Local pid:
pubs:693592
Deposit date:
2017-05-06

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