A guide to understanding tumour evolution through the lens of population genetics.

Evolutionary genomics, tumor dynamics, and mathematical modeling of cancer progression: Implications for precision oncology.

This review synthesizes current knowledge on clonal dynamics, intratumor heterogeneity (ITH), and the mathematical tools used to model cancer progression, with direct implications for the design of precision oncology strategies.

Genomic insights into natural selection in recent human history.

The current state of knowledge about the impact of selection on human genomic diversity is reviewed and conceptual advances in the understanding of human evolution over the past 10,000 years are highlighted.

Same mutagenic insult, different destinies: genetic background directs cancer evolution

In a recent study published in Nature, Aitken and colleagues experimentally replayed liver tumour evolution across divergent mouse genetic backgrounds and showed that the inherited genome does not merely modify cancer susceptibility. Instead, it determines which somatic drivers are selected, whether whole-genome duplic...

A single-cell lens into the co-evolution of genotypes and phenotypes in cancer.

Determinants of mutation susceptibility along the genome are largely invariant across human tissues

The propensity for accumulating somatic mutations varies along the genome, which critically influences somatic mosaicism, tumor evolution and the potential role of somatic mutations in the context of age-associated diseases. Genomic factors contributing to the variability of mutation rates have been established, includ...

Theoretical estimates on the expected number of mutations needed to reconstruct clonal lineage trees

The results suggest that modest numbers of mutations suffice to reconstruct clonal tree topologies for typical numbers of clones, supporting subsampling as a general strategy for managing the challenges of ever-growing data.