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The advent and application of next-generation sequencing (NGS) technologies to tumor genomes has reinvigorated efforts to understand clonal evolution. Although tumor progression has traditionally been viewed as a gradual stepwise process, recent …

Spatial computational modeling of tumor growth identifies the evolutionary mode of tumor clonal expansions.

In this review, we provide a population genetics perspective on the determinants of intra-tumor heterogeneity and approaches to quantify genetic diversity. We summarize evidence for different modes of evolution based on recent cancer genome sequencing studies and discuss emerging evolutionary strategies to therapeutically exploit tumor heterogeneity.

A new computational method illuminates the heterogeneity and evolutionary histories of cells within a tumor.

The extreme genetic diversity in a single liver tumor implies clonal evolution under the non-Darwinian mode.

Using population genetic theory together with single-cell sequencing data collected from mouse intestinal crypts at two points in development, we have revealed a dynamic picture of stem cell renewal in intestinal crypts.