Article
How Subclonal Modeling Is Changing the Metastatic Paradigm.
Clinical cancer research : an official journal of the American Association for Cancer Research - 1 Feb 2017
Macintyre Geoff, Van Loo Peter, Corcoran Niall M, Wedge David C, Markowetz Florian, Hovens Christopher M
Abstract excerpt
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...
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