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Cited by 267

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Interactions of tumor cells with vascular endothelial cell monolayers: a model for metastatic invasion.

Open access
Kramer, R H, Nicolson, G L·1979·Proceedings of the National Academy of Sciences

Abstract

The interactions of tumorigenic and nontumorigenic human and rodent cells with vascular endothelial cells and their underlying extracellular matrix were studied in culture. The abilities of various cells to attach to endothelial monolayers and cause morphologic changes, such as rupture of endothelial-endothelial cell interactions leading to retraction of endothelial cells and exposure of extracellular matrix, as well as their propensities to invade and underlap retracted endothelial monolayers and continue migration were assessed by time-lapse and phase-contrast microscopy as well as scanning and transmission electron microscopy. In general, highly malignant or highly invasive cells in vivo were capable of attachment, invasion, and migration under endothelial cells in vitro. This system may be useful for elucidating mechanisms of tumor cell arrest and extravasation.

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Metadata

Authors
Kramer, R. H., & Nicolson, G. L.
Venue
Proceedings of the National Academy of Sciences
Published
1979-11
Volume
76
Issue
11
Pages
5704-5708
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2026477506
Cited by
267
References
0
FWCI
7.36
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Interactions of tumor cells with vascular endothelial cell monolayers: a model for metastatic invasion. https://app.cochat.ai/papers/10.1073/pnas.76.11.5704
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Kramer, R. H., & Nicolson, G. L. (1979). Interactions of tumor cells with vascular endothelial cell monolayers: a model for metastatic invasion. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.76.11.5704

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.