BACKGROUND. The goal of this study was a karyometric characterization of se
cretory cell nuclei in high-grade prostatic intraepithelial neoplasia (PIN)
lesions. Specifically, the hypothesis is tested that distinctly different
subgroups of nuclei exist in these lesions.
METHODS. High-resolution images of 1,713 nuclei from high-grade PIN lesions
were recorded. Karyometric features were computed. Discriminant function s
cores against normal reference nuclei, and nuclear abnormality values were
derived. Data sets were processed by a nonsupervised learning algorithm to
establish the presence of subgroups of nuclei with statistically different
nuclear chromatin distributions.
RESULTS. Three sets of nuclei were formed, facing an intact basal cell laye
r, a near vanishing basal cell layer, and a gap in the basal cell layer. Fo
r each set, a nonsupervised learning algorithm formed three statistically d
ifferent subgroups of approximately equal sizes. Each subgroup is found in
every one of the three sampling locations. The total optical density distri
bution of nuclei in two subgroups suggests an aneuploid distribution, the t
hird subgroup has a near diploid distribution.
CONCLUSION. Secretory cell nuclei in high-grade PIN lesions are a heterogen
eous population, forming statistically different subgroups. Studies aimed a
t characterizing the progression of such lesions should consider the inhomo
geneous nature of these nuclei.