Journal article

How subclonal modeling is changing the metastatic paradigm

G Macintyre, P Van Loo, NM Corcoran, DC Wedge, F Markowetz, CM Hovens

Clinical Cancer Research | AMER ASSOC CANCER RESEARCH | Published : 2017

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.

University of Melbourne Researchers

Grants

Awarded by Li Ka Shing Foundation


Funding Acknowledgements

This work was supported by: a Federal grant for the Australian Prostate Cancer Research Centres and by NHMRC grants 1047581 and 1104010 (to C.M. Hovens and N.M. Corcoran), the Cancer Research UK (grants A15973 and A15601d; to G. Macintyre), the Francis Crick Institute, which receives its core funding from Cancer Research UK (FC001202), the UK Medical Research Council (FC001202), and the Wellcome Trust (FC001202; to P. Van Loo), The University of Cambridge, Cancer Research UK, Hutchinson Whampoa Limited, CRUK core grant C14303/A17197 (CRUK CI Institute core grant; to F. Markowetz and G. Macintyre), and A19274 (F. Markowetz lab grant). D.C. Wedge is funded by the Li Ka Shing foundation.