Original paper
Between-region genetic divergence reflects the mode and tempo of tumor evolution
Abstract
Christina Curtis and colleagues simulate spatial tumor growth under different evolutionary models and compare their results to multiregion sequencing data. They find that it is possible to distinguish tumors driven by strong positive selection from those evolving neutrally or under weak selection and infer different evolutionary modes within and between tumor types. Given the implications of tumor dynamics for precision medicine, there is a need...
Paper Details
Title
Between-region genetic divergence reflects the mode and tempo of tumor evolution
Published Date
Jun 5, 2017
Journal
Volume
49
Issue
7
Pages
1015 - 1024
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Notes
History