Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

Smolle, J; Soyer, HP; Smolle-Juettner, FM; Stettner, H; Kerl, H.
Computer simulation analysis of morphological patterns in human melanocytic skin tumours.
Pathol Res Pract. 1991; 187(8):986-992 Doi: 10.1016/S0344-0338(11)81070-8
Web of Science PubMed FullText FullText_MUG Google Scholar

 

Führende Autor*innen der Med Uni Graz
Smolle Josef
Co-Autor*innen der Med Uni Graz
Kerl Helmut
Smolle-Juettner Freyja-Maria
Soyer Hans Peter
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Abstract:
Tumour cell proliferation and particularly tumour cell motility are considered to be essential pre-requisites for invasive tumour growth. Despite abundant in vitro data on tumour cell motility, the behaviour of tumour cells in complex human tumour tissues is yet unknown. In this study, estimates of proliferation and motility are statistically derived from morphological tumour patterns in human melanocytic skin tumours. Two-dimensional, discrete, random computer simulations of tumour growth were carried out in order to determine the influence of tumour cell proliferation and motility on morphological patterns. A set of binary morphological criteria turned out to facilitate a significant estimate of the relative probabilities of motility and proliferation (CART analysis). When the same morphological criteria were applied to H & E stained slides of 45 melanocytic skin tumours, benign common nevi showed a predominance of motility, whereas primary and metastatic malignant melanoma revealed a predominance of proliferation. The direct assessment of the number of proliferating cells by Ki-67 staining shows a steep increase from benign nevi to primary and metastatic melanoma. These data provide first evidence that in benign common nevi the overall motility exceeds the very low degree of proliferation, whereas in malignant melanocytic tumours proliferation considerably exceeds tumour cell motility.
Find related publications in this database (using NLM MeSH Indexing)
Cell Division - physiology
Cell Movement - physiology
Cell Transformation, Neoplastic - pathology
Computer Simulation - pathology
Humans - pathology
Image Processing, Computer-Assisted - pathology
Immunohistochemistry - pathology
Melanoma - pathology
Skin Neoplasms - pathology

Find related publications in this database (Keywords)
Melanoma
Melanocytic Nevus
Motility
Proliferation
Computer Simulation
© Med Uni Graz Impressum