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Cited by 170

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Autocrine functions of VEGF in breast tumor cells: Adhesion, survival, migration and invasion

Open access
Perrot-Applanat, Martine, Di Benedetto, Melanie·2012·Cell Adhesion & Migration

Abstract

Vascular endothelial growth factor A (VEGF-A) is well known for its key roles in blood vessel growth. Although most studies on VEGF and VEGF receptors have been focused on their functions in angiogenesis and in endothelial cells, the role of VEGF in cancer biology appears as an emerging area of importance. In this context, the presence of VEGF receptors in tumor cells strongly suggests that VEGF-A also promotes a wide range of functions, both in vitro and in vivo, all autocrine functions on tumor cells, including adhesion, survival, migration and invasion. Ultimately, refining our knowledge of VEGF signaling pathways in tumor cells should help us to understand why the current used treatments targeting the VEGF pathway in cancer are not universally effective in inhibiting metastasis tumors, and it should also provide new avenues for future therapies.

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Crossref · 10.4161/cam.23332

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Metadata

Authors
Perrot-Applanat, M., & Di Benedetto, M.
Venue
Cell Adhesion & Migration
Published
2012-11-17
Volume
6
Issue
6
Pages
547-553
ISSN
  • 1933-6918 (ISSN-L)
  • 1933-6926
OpenAlex
W2083280176
Cited by
170
References
5
FWCI
4.18
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Autocrine functions of VEGF in breast tumor cells: Adhesion, survival, migration and invasion. https://app.cochat.ai/papers/10.4161/cam.23332
The paper
Perrot-Applanat, M., & Di Benedetto, M. (2012). Autocrine functions of VEGF in breast tumor cells: Adhesion, survival, migration and invasion. Cell Adhesion & Migration. https://doi.org/10.4161/cam.23332

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.