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Newer vascular targets: Endosialin (Review)

Authors: Beverly A, Teicher;

Newer vascular targets: Endosialin (Review)

Abstract

The identification of cell surface markers expressed selectively by tumor vasculature is challenging. To get as close to the human disease as possible, investigators have isolated endothelial cells from fresh human tumor specimens and subjected them to RNA-based gene expression analysis. The data indicate that there are few proteins that distinguish tumor vasculature from normal vasculature and re-enforce the notion that the endothelium is a tissue specialized cell-type. Endosialin was identified as a cell surface tumor endothelial marker. The selective expression of endosialin by tumor vasculature and stroma has been confirmed. Although the function of endosialin remains to be elucidated, the expression pattern for this protein may be favorable for cancer therapy.

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Keywords

Neovascularization, Pathologic, Gene Expression Profiling, Membrane Proteins, Angiogenesis Inhibitors, Neoplasm Proteins, Gene Expression Regulation, Neoplastic, Antigens, CD, Antigens, Neoplasm, Cell Line, Tumor, Neoplasms, Animals, Humans, RNA, Endothelium, Vascular

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Average
Top 10%
Top 10%
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