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Table 2 Main parameters for each of the tumor progression models

From: Identifying restrictions in the order of accumulation of mutations during tumor progression: effects of passengers, evolutionary models, and sampling

Model Birth rate Death rate Mutation Cancer
    rate (per reached if
    gene per  
    unit time)  
Bozic 1 (1−s)j(1+s h )p 10−6 >109 cells
exp (1+s)j(1−s h )p(+) 1 b j 10−7 >109 cells
McF_4 (1+s)j/(1+s h )p log(1+N/K) 510−7 Number of
     drivers ≥4
McF_6 (1+s)j/(1+s h )p log(1+N/K) 510−7 Number of
     drivers ≥6
  1. j is the number of drivers with their dependencies met, and p the number of drivers with dependencies not met. In all cases s = 0.1. s h is set to either 0 (so it has no effect) or (so fitness of that clone is 0). N: population size. K = 2000. +:Strictly, birth rate = max(0, (1 + s)j (1 −s h)p).