A spatial mutation model with increasing mutation rates
We consider a spatial model of cancer in which cells are points on the d-dimensional torus $\mathcal{T}=[0,L]^d$ , and each cell with $k-1$ mutations acquires a kth mutation at rate $\mu_k$ . We assume that the mutation rates $\mu_k$ are increasing, and we find the asymptotic waiting time for the fi...
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Veröffentlicht in: | Journal of applied probability 2023-12, Vol.60 (4), p.1157-1180 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | We consider a spatial model of cancer in which cells are points on the d-dimensional torus
$\mathcal{T}=[0,L]^d$
, and each cell with
$k-1$
mutations acquires a kth mutation at rate
$\mu_k$
. We assume that the mutation rates
$\mu_k$
are increasing, and we find the asymptotic waiting time for the first cell to acquire k mutations as the torus volume tends to infinity. This paper generalizes results on waiting for
$k\geq 3$
mutations in Foo et al. (2020), which considered the case in which all of the mutation rates
$\mu_k$
are the same. In addition, we find the limiting distribution of the spatial distances between mutations for certain values of the mutation rates. |
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ISSN: | 0021-9002 1475-6072 |
DOI: | 10.1017/jpr.2022.120 |