How subclonal modeling is changing the metastatic paradigm

Geoff Macintyre, Peter Van Loo, Niall M. Corcoran, David C. Wedge, Florian Markowetz, Christopher M. Hovens

    Research output: Contribution to journalReview articlepeer-review

    27 Scopus citations

    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.

    Original languageEnglish (US)
    Pages (from-to)630-635
    Number of pages6
    JournalClinical Cancer Research
    Volume23
    Issue number3
    DOIs
    StatePublished - Feb 1 2017

    ASJC Scopus subject areas

    • Oncology
    • Cancer Research

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