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Cited by 311

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

v Integrins in Angiogenesis and Cancer

Open access
Weis, S. M., Cheresh, D. A.·2011·Cold Spring Harbor Perspectives in Medicine

Abstract

During angiogenesis, αv integrins are overexpressed on the endothelial cell surface to facilitate the growth and survival of newly forming vessels. Accordingly, blocking αv integrin function by disrupting ligand binding can produce an antiangiogenic effect. Although the integrin ectodomain regulates ligand binding specificity, the short cytoplasmic tail facilitates intracellular signaling pathways through the recruitment and activation of specific kinases and signaling intermediates. This in turn controls endothelial cell adhesion, morphology, migration, invasion, proliferation, and survival. These same integrin-mediated signaling pathways are exploited in cancer to promote the invasiveness and survival of tumor cells and to manipulate the host microenvironment to provide ample blood vessel and stromal resources to support tumor growth and metastatic spread. Because expression of αv integrins on distinct cell types contributes to cancer growth, αv integrin antagonists have the potential to disrupt multiple aspects of disease progression.

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Metadata

Authors
Weis, S. M., & Cheresh, D. A.
Venue
Cold Spring Harbor Perspectives in Medicine
Published
2011-09-01
Volume
1
Issue
1
Pages
a006478-a006478
ISSN
2157-1422 (ISSN-L)
OpenAlex
W2127905380
Cited by
311
References
2
Type
posted content
Language
en
Open access
bronze

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CoChat. (2026). Citation check: v Integrins in Angiogenesis and Cancer. https://app.cochat.ai/papers/10.1101/cshperspect.a006478
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Weis, S. M., & Cheresh, D. A. (2011). v Integrins in Angiogenesis and Cancer. Cold Spring Harbor Perspectives in Medicine. https://doi.org/10.1101/cshperspect.a006478

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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.