Resolving genetic heterogeneity in cancer.
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ICR Authors
Authors
Turajlic, S
Sottoriva, A
Graham, T
Swanton, C
Sottoriva, A
Graham, T
Swanton, C
Document Type
Journal Article
Date
2019-07-01
Date Accepted
2019-03-27
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.
Citation
Nature reviews. Genetics, 2019, 20 (7), pp. 404 - 416
Source Title
Publisher
NATURE PORTFOLIO
ISSN
1471-0056
eISSN
1471-0064