The effect of one additional driver mutation on tumor progression

Reiter, Johannes G and Bozic, Ivana and Allen, Benjamin and Chatterjee, Krishnendu and Nowak, Martin A (2013) The effect of one additional driver mutation on tumor progression. Evolutionary Applications, 6 (1). pp. 34-45. ISSN 1752-4571

[img] Text
Reiter_et_al-2013-Evolutionary_Applications.pdf - Published Version
Available under License Creative Commons Attribution.
[IST-2016-415-v1+1]
Download (1144Kb)
Official URL: http://onlinelibrary.wiley.com/doi/10.1111/eva.120...

Abstract

Tumor growth is caused by the acquisition of driver mutations, which enhance the net reproductive rate of cells. Driver mutations may increase cell division, reduce cell death, or allow cells to overcome density-limiting effects. We study the dynamics of tumor growth as one additional driver mutation is acquired. Our models are based on two-type branching processes that terminate in either tumor disappearance or tumor detection. In our first model, both cell types grow exponentially, with a faster rate for cells carrying the additional driver. We find that the additional driver mutation does not affect the survival probability of the lesion, but can substantially reduce the time to reach the detectable size if the lesion is slow growing. In our second model, cells lacking the additional driver cannot exceed a fixed carrying capacity, due to density limitations. In this case, the time to detection depends strongly on this carrying capacity. Our model provides a quantitative framework for studying tumor dynamics during different stages of progression. We observe that early, small lesions need additional drivers, while late stage metastases are only marginally affected by them. These results help to explain why additional driver mutations are typically not detected in fast-growing metastases.

Item Type: Article
DOI: 10.1111/eva.12020
Uncontrolled Keywords: branching process, cancer, clonal expansion, density dependence, driver mutation, stochastic models
Subjects: 000 Computer science, knowledge & general works > 000 Computer science, knowledge & systems
Research Group: Chatterjee Group
SWORD Depositor: Sword Import User
Depositing User: Sword Import User
Date Deposited: 05 Jan 2016 09:12
Last Modified: 30 Aug 2017 09:50
URI: https://repository.ist.ac.at/id/eprint/415

Actions (login required)

View Item View Item