Dynamics of tumor heterogeneity derived from clonal karyotypic evolution Journal Article


Authors: Laughney, A. M.; Elizalde, S.; Genovese, G.; Bakhoum, S. F.
Article Title: Dynamics of tumor heterogeneity derived from clonal karyotypic evolution
Abstract: Numerical chromosomal instability is a ubiquitous feature of human neoplasms. Due to experimental limitations, fundamental characteristics of karyotypic changes in cancer are poorly understood. Using an experimentally inspired stochastic model, based on the potency and chromosomal distribution of oncogenes and tumor suppressor genes, we show that cancer cells have evolved to exist within a narrow range of chromosome missegregation rates that optimizes phenotypic heterogeneity and clonal survival. Departure from this range reduces clonal fitness and limits subclonal diversity. Mapping of the aneuploid fitness landscape reveals a highly favorable, commonly observed, near-triploid state onto which evolving diploid- and tetraploid-derived populations spontaneously converge, albeit at a much lower fitness cost for the latter. Finally, by analyzing 1,368 chromosomal translocation events in five human cancers, we find that karyotypic evolution also shapes chromosomal translocation patterns by selecting for more oncogenic derivative chromosomes. Thus, chromosomal instability can generate the heterogeneity required for Darwinian tumor evolution. © 2015 The Authors.
Keywords: controlled study; phenotype; cell survival; molecular dynamics; genetic variability; cancer genetics; chromosome aberration; oncogene; cancer cell; chromosomal instability; chromosome translocation; cell clone; aneuploidy; tetraploidy; diploidy; genetic heterogeneity; chromosome map; clonal evolution; triploidy; priority journal; article; karyotype evolution
Journal Title: Cell Reports
Volume: 12
Issue: 5
ISSN: 2211-1247
Publisher: Cell Press  
Date Published: 2015-08-04
Start Page: 809
End Page: 820
Language: English
DOI: 10.1016/j.celrep.2015.06.065
PROVIDER: scopus
PUBMED: 26212324
DOI/URL:
Notes: Export Date: 2 September 2015 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Samuel F Bakhoum
    81 Bakhoum