| Literature DB >> 30918367 |
Samra Turajlic1,2, Andrea Sottoriva3, Trevor Graham4, Charles Swanton5,6,7.
Abstract
To a large extent, cancer conforms to evolutionary rules defined by the rates at which clones mutate, adapt and grow. Next-generation sequencing has provided a snapshot of the genetic landscape of most cancer types, and cancer genomics approaches are driving new insights into cancer evolutionary patterns in time and space. In contrast to species evolution, cancer is a particular case owing to the vast size of tumour cell populations, chromosomal instability and its potential for phenotypic plasticity. Nevertheless, an evolutionary framework is a powerful aid to understand cancer progression and therapy failure. Indeed, such a framework could be applied to predict individual tumour behaviour and support treatment strategies.Entities:
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Year: 2019 PMID: 30918367 DOI: 10.1038/s41576-019-0114-6
Source DB: PubMed Journal: Nat Rev Genet ISSN: 1471-0056 Impact factor: 53.242