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Cited by 208

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Matrix metalloproteases in head and neck cancer

Open access
Rosenthal, Eben L., Matrisian, Lynn M.·2006·Head & Neck

Abstract

Matrix metalloproteases (MMPs) are a collection of enzymes capable of cleaving extracellular matrix components, growth factors, and cell‐surface receptors. MMPs modulate most aspects of tumorigenesis and are highly expressed in cancer compared with normal tissues. Preclinical studies have demonstrated that head and neck squamous cell carcinomas (HNSCCs) express high levels of MMPs in vivo and that inhibition of these enzymes in vitro and in mouse models decreases invasion and metastasis. However, the clinical trials for MMP inhibitors have failed to demonstrate a significant survival advantage in most cancers. The disparity between preclinical and clinical studies has led to the reevaluation of how MMP functions in cancer and the design of clinical trials for molecularly targeted agents. Mouse model data and analysis of HNSCC tumor specimens suggests that membrane type‐1 MMP (MT1‐MMP) may be a critical enzyme in tumor cell invasion and survival in vivo. This accumulated data provide evidence for development of selective MT1‐MMP inhibitors as therapy in HNSCC. © 2005 Wiley Periodicals, Inc. Head Neck, 2006

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Metadata

Authors
Rosenthal, E. L., & Matrisian, L. M.
Venue
Head & Neck
Publisher
Wiley
Published
2006-02-09
Volume
28
Issue
7
Pages
639-648
ISSN
  • 1043-3074 (ISSN-L)
  • 1097-0347
OpenAlex
W1986863362
Cited by
208
References
6
FWCI
4.58
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Matrix metalloproteases in head and neck cancer. https://app.cochat.ai/papers/10.1002/hed.20365
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Rosenthal, E. L., & Matrisian, L. M. (2006). Matrix metalloproteases in head and neck cancer. Head & Neck. https://doi.org/10.1002/hed.20365

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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.