In vitro quantitative assay of invasion using human amnion

  • R. G. Russo
  • U. Thorgeirsson
  • L. A. Liotta
Part of the Developments in Oncology book series (DION, volume 7)


The basic mechanisms by which tumor cells invade host tissue are poorly understood largely because this process has been difficult to study in vitro. Two major deficiencies have existed in past organ culture models of tumor cell invasion. The first is a lack of quantitation. The second is the use of non-human organs which contain multiple types of host tissue. A majority of the previous invasion assays have been qualitative studies in which fragments of organs are admixed with tumor cells (Table 1) [1–13]. The extent of invasion was judged by making histologic sections of the tissues after various incubation times. These previous methods provide an ideal system for visualizing the microscopic interactions between malignant and benign tissue. Unfortunately, they cannot be used to routinely quantitate the rate of tumor cell invasion during different experimental treatments. Investigators such as Hart [8] and Poste [12] have therefore developed quantitative assays for invasion using labeled tumor cells cultured on chicken chorioallantoic membrane or within the lumen of a perfused canine vein. The proportion of labeled tumor cells which traverse these tissue barriers is quantified by counting the radioactivity on each side of the barrier. In the systems described by Poste et al. [12], tumor cells which traverse the tissues can be collected for further study. However, a disadvantage of these systems is the use of complex nonhuman organs. The chicken chorioallantoic membrane contains a series of multicellular and connective tissue layers (including endoderm and ectoderm) and is vascularized [3–8].


Basement Membrane Tumor Cell Invasion Chorioallantoic Membrane Human Polymorphonuclear Leukocyte Connective Tissue Layer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Martinus Nijhoff Publishers, The Hague/Boston/London 1982

Authors and Affiliations

  • R. G. Russo
  • U. Thorgeirsson
  • L. A. Liotta

There are no affiliations available

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