Pattern of self-organization in tumour systems: complex growth dynamics in a novel brain tumour spheroid model
. We propose that a highly malignant brain tumour is an opportunistic, self‐organizing and adaptive complex dynamic biosystem rather than an unorganized cell mass. To test the hypothesis of related key behaviour such as cell proliferation and invasion, we have developed a new in vitro assay capable...
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Published in | Cell proliferation Vol. 34; no. 2; pp. 115 - 134 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Science Ltd
01.04.2001
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Subjects | |
Online Access | Get full text |
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Summary: | .
We propose that a highly malignant brain tumour is an opportunistic, self‐organizing and adaptive complex dynamic biosystem rather than an unorganized cell mass. To test the hypothesis of related key behaviour such as cell proliferation and invasion, we have developed a new in vitro assay capable of displaying several of the dynamic features of this multiparameter system in the same experimental setting. This assay investigates the development of multicellular U87MGmEGFR spheroids in a specific extracellular matrix gel over time. The results show that key features such as volumetric growth and cell invasion can be analysed in the same setting over 144 h without continuously supplementing additional nutrition. Moreover, tumour proliferation and invasion are closely correlated and both key features establish a distinct ratio over time to achieve maximum cell velocity and to maintain the system’s temporo‐spatial expansion dynamics. Single cell invasion follows a chain‐like pattern leading to the new concept of a intrabranch homotype attraction. Since preliminary studies demonstrate that heterotype attraction can specifically direct and accelerate the emerging invasive network, we further introduce the concept of least resistance, most permission and highest attraction as an essential principle for tumour invasion. Together, these results support the hypothesis of a self‐organizing adaptive biosystem. |
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Bibliography: | istex:C3264AEF33F5D642F46DE4E8D894D59F48DDE53D ArticleID:CPR202 ark:/67375/WNG-Z12C7G9S-K ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0960-7722 1365-2184 |
DOI: | 10.1046/j.1365-2184.2001.00202.x |