Resolving genetic heterogeneity in cancer.
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Date
2019-07-01Author
Turajlic, S
Sottoriva, A
Graham, T
Swanton, C
Type
Journal Article
Metadata
Show full item recordAbstract
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.
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Subject
Clone Cells
Humans
Neoplasms
Cell Transformation, Neoplastic
Neoplasm Metastasis
Chromosomal Instability
Genomics
Genetic Heterogeneity
Models, Genetic
Neoplastic Cells, Circulating
Selection, Genetic
DNA Copy Number Variations
Single-Cell Analysis
High-Throughput Nucleotide Sequencing
Clonal Evolution
Language
eng
Date accepted
2019-03-27
License start date
2019-07
Citation
Nature reviews. Genetics, 2019, 20 (7), pp. 404 - 416
Publisher
NATURE PUBLISHING GROUP