Clonal evolution driven by superdriver mutations

BMC Evol Biol. 2020 Jul 20;20(1):89. doi: 10.1186/s12862-020-01647-y.

Abstract

Background: Tumors are widely recognized to progress through clonal evolution by sequentially acquiring selectively advantageous genetic alterations that significantly contribute to tumorigenesis and thus are termned drivers. Some cancer drivers, such as TP53 point mutation or EGFR copy number gain, provide exceptional fitness gains, which, in time, can be sufficient to trigger the onset of cancer with little or no contribution from additional genetic alterations. These key alterations are called superdrivers.

Results: In this study, we employ a Wright-Fisher model to study the interplay between drivers and superdrivers in tumor progression. We demonstrate that the resulting evolutionary dynamics follow global clonal expansions of superdrivers with periodic clonal expansions of drivers. We find that the waiting time to the accumulation of a set of superdrivers and drivers in the tumor cell population can be approximated by the sum of the individual waiting times.

Conclusions: Our results suggest that superdriver dynamics dominate over driver dynamics in tumorigenesis. Furthermore, our model allows studying the interplay between superdriver and driver mutations both empirically and theoretically.

Keywords: Cancer progression; Fitness; Mutation; Selection; Tumorigenesis; Waiting time to cancer.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biological Evolution
  • Clonal Evolution / genetics*
  • Disease Progression
  • Humans
  • Mutation / genetics*
  • Neoplasms / genetics
  • Point Mutation
  • Time Factors