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Cited by 441

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

The functional activity of E-cadherin controls tumor cell metastasis at multiple steps

Open access
Na, Tae-Young, Schecterson, Leslayann, Mendonsa, Alisha M., Gumbiner, Barry M.·2020·Proceedings of the National Academy of Sciences

Abstract

Significance: The expression of E-cadherin has been implicated in tumor metastasis, often as a tumor suppressor, but also as a promoter of growth and metastasis. We have shown that the functional activity of E-cadherin at the cell surface is often modified in response to environmental factors, and have developed monoclonal antibodies (mAbs) that activate E-cadherin adhesive function. These activating mAbs inhibit the metastasis of endogenous genetically driven mammary tumors in mice, and we dissect the process to show that these mAbs work at multiple steps of the metastatic cascade, including local invasion, intravasation, cell survival, and extravasation into the target organ. Thus, the functional state of E-cadherin is an important determinant of metastatic potential beyond whether the gene is expressed.

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Crossref · 10.1073/pnas.1918167117

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Metadata

Authors
Na, T.-Y., Schecterson, L., Mendonsa, A. M., & Gumbiner, B. M.
Venue
Proceedings of the National Academy of Sciences
Published
2020-03-03
Volume
117
Issue
11
Pages
5931-5937
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W3009149445
Cited by
441
References
41
FWCI
17.16
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The functional activity of E-cadherin controls tumor cell metastasis at multiple steps. https://app.cochat.ai/papers/10.1073/pnas.1918167117
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Na, T.-Y., Schecterson, L., Mendonsa, A. M., & Gumbiner, B. M. (2020). The functional activity of E-cadherin controls tumor cell metastasis at multiple steps. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1918167117

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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.