Kiem. Wijffels et al., Patterns of proliferation related to vasculature in human head-and-neck carcinomas before and after transplantation in nude mice, INT J RAD O, 51(5), 2001, pp. 1346-1353
Citations number
23
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging","Onconogenesis & Cancer Research
Journal title
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
Purpose: The predictive potential of tumor cell kinetic parameters may be i
mproved when they are studied in relation to other microenvironmental param
eters. The purpose of this investigation was to quantitatively categorize h
uman tumor samples according to proliferation patterns. Second, it was exam
ined whether these characteristics are retained after xenotransplantation.
Methods and Materials: Fifty tumor samples from head-and-neck cancer patien
ts were immunohistochemically stained for Ki-67 and-vessels. Also, parts of
the samples were transplanted into nude mice. Tumors were categorized acco
rding to previously described patterns of proliferation. Vascular and proli
feration patterns were analyzed using an image processing system.
Results: The 50 tumors were categorized into four patterns of proliferation
by visual assessment: marginal (6), intermediate (10), random (21), and mi
xed (12). One tumor could not be classified. These patterns were quantified
by calculating the Ki-67 labeling index in distinct zones at increasing di
stance from vessels yielding good discrimination and significant difference
s between patterns. The probability of growth after xenotransplantation was
significantly higher for tumors with a labeling index and vascular density
above the median value compared to tumors with both parameters below the m
edian (82% vs. 35%). Fifty percent of the tumors retained their proliferati
on patterns after xenotransplantation.
Conclusion: The categorization by proliferation pattern previously describe
d by others was reproduced quantitatively and spatially related to the vasc
ular network using a computerized image processing system. The combination
of quantitative and architectural information of multiple microenvironmenta
l parameters adds a new dimension to the study of treatment resistance mech
anisms. Tumor models representative of the various patterns can be used to
further investigate the relevance of these architectural patterns. (C) 2001
Elsevier Science Inc.