Resolving genetic heterogeneity in cancer

Nat Rev Genet. 2019 Jul;20(7):404-416. doi: 10.1038/s41576-019-0114-6.

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Cell Transformation, Neoplastic / genetics
  • Cell Transformation, Neoplastic / metabolism
  • Cell Transformation, Neoplastic / pathology
  • Chromosomal Instability
  • Clonal Evolution*
  • Clone Cells
  • DNA Copy Number Variations
  • Genetic Heterogeneity*
  • Genomics / methods*
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Models, Genetic*
  • Neoplasm Metastasis
  • Neoplasms / genetics*
  • Neoplasms / metabolism
  • Neoplasms / pathology
  • Neoplastic Cells, Circulating / metabolism
  • Neoplastic Cells, Circulating / pathology
  • Selection, Genetic
  • Single-Cell Analysis