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Cytoskeleton and motility: an immunohistological and computer simulation analysis of melanocytic skin tumors
Author(s) -
FinkPuches Regina,
Smolle Josef
Publication year - 1993
Publication title -
journal of cutaneous pathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 75
eISSN - 1600-0560
pISSN - 0303-6987
DOI - 10.1111/j.1600-0560.1993.tb00229.x
Subject(s) - motility , cytoskeleton , vimentin , biology , microbiology and biotechnology , stromal cell , mitosis , cell , cell growth , actin , pathology , cancer research , immunology , immunohistochemistry , medicine , genetics
Tumor cell motility and tumor cell proliferation are supposed to be essential for tumor invasion. The cytoskeleton, which consists of different components, is considered to be important for maintaining cell shape and facilitating cell movement. Numerous data are available about tumor cell motility in vitro , but the behavior of tumor cells in vivo is as yet poorly understood. In the present study, estimates of tumor cell motility and proliferation were statistically derived from morphological tumor patterns in human melanocytic skin tumors, and their relationship to expression of certain cytoskeletal components was evaluated. Over‐expression of vimentin within tumor cells correlated with low actual tumor cell motility and proliferation, indicating a structurally stabilizing function of these filaments. An overexpression of actin was found within tumor cells of high motility and proliferation, suggesting the contribution of cytocontractile elements to active tumor cell locomotion in situ. Concerning the cytoskeleton of the stromal cells, expression of actin, myosin and tubulin correlated with a high number of motile tumor cells and high mitotic counts. Thus increased tumor cell motility seems to be associated with cytoskeletal changes not only of the tumor cells themselves but also of the surrounding stromal cells. Fink‐Puches R, Smolle J. Cytoskeleton and motility: an immunohistological and computer simulation analysis of melanocytic skin tumors.