The development of primary cancers and their subsequent metastases occur th
rough a complex sequence of discrete steps. A hypothesis is proposed here w
hereby the time available for the growth of metastases is normally distribu
ted, presumably as a consequence of the summation of multiple independently
distributed time intervals from each of the steps and of the Central Limit
Theorem. For exponentially growing metastases, the corresponding size dist
ribution would be lognormal; Gompertzian growth would imply a modified (Gom
pertz-normal) distribution, where larger metastases would occur less freque
ntly as a consequence of a decreased growth rate. These two size distributi
ons were evaluated against fs human autopsy cases where precise size measur
ements had been collected from over 3900 macroscopic hematogenous organ met
astases. The lognormal distribution provided an approximate agreement. Its
main deficiency was a tendency to over-represent metastases greater than 10
mm diameter. The Gompertz-normal distribution provided more stringent agre
ement, correcting for this over-representation These observations supported
the hypothesis of normally distributed growth times, and qualified the uti
lity of the lognormal and Gompertz-normal distributions for the size distri
bution of metastases. (C) 2001 Academic Press.