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A Countable-Type Branching Process Model for the Tug-of-War Cancer Cell Dynamics

  • Rice University

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

We consider a time-continuous Markov branching process of proliferating cells with a countable collection of types. Among-type transitions are inspired by the Tug-of-War process introduced by McFarland et al. (Proc Natl Acad Sci 111(42):15138–15143, 2014) as a mathematical model for competition of advantageous driver mutations and deleterious passenger mutations in cancer cells. We introduce a version of the model in which a driver mutation pushes the type of the cell L-units up, while a passenger mutation pulls it 1-unit down. The distribution of time to divisions depends on the type (fitness) of cell, which is an integer. The extinction probability given any initial cell type is strictly less than 1, which allows us to investigate the transition between types (type transition) in an infinitely long cell lineage of cells. The analysis leads to the result that under driver dominance, the type transition process escapes to infinity, while under passenger dominance, it leads to a limit distribution. Implications in cancer cell dynamics and population genetics are discussed.

Original languageEnglish
Article number18
JournalBulletin of Mathematical Biology
Volume86
Issue number2
DOIs
Publication statusPublished - Feb 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Cancer dynamics
  • Deleterious passenger mutations
  • Multitype branching process
  • Negative selection
  • Tug-of-War

ASJC Scopus subject areas

  • General Neuroscience
  • Immunology
  • General Mathematics
  • General Biochemistry,Genetics and Molecular Biology
  • Pharmacology
  • General Environmental Science
  • General Agricultural and Biological Sciences
  • Computational Theory and Mathematics

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