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Table 1 Summary of results and possible interpretation of the applicability of various parametrically heterogeneous models to describing the dynamics underlying tumor dormancy

From: Primary and metastatic tumor dormancy as a result of population heterogeneity

Model

Distr. param.

Escape phase

Expected value of dist. param.

Variance of distr. param. after escape

Interpretation/applicability

Malthusian

c

rapid

Increases rapidly during escape phase to maximum possible value

Increases rapidly during escape, then returns to zero

Likely not applicable

Logistic

c

rapid

Increases rapidly during escape phase to sub-maximum value (inv. proportional to variance)

Increases rapidly during escape, then remains at a non-zero value

Primary tumor dormancy

Allee x c  ' = cx c (l − N)(N − m),

c

gradual

Increases rapidly during escape phase to sub-maximum value (inv. proportional to variance)

Increases rapidly during escape, then remains at a non-zero value

Slowly-growing tumor

x l  ' = cx l (l − N)(N − m),

l

less gradual

Increases rapidly during escape phase to maximum possible value

Increases rapidly during escape, then returns to zero

Likely not applicable

x m  ' = cx m (l − N)(N − m),

m

rapid

Increases rapidly during escape phase to sub-maximum value (inv. proportionate to variance)

Increases rapidly during escape, then gradually decreases

Metastatic tumor dormancy