The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.
Matrix Metalloproteinases As Novel Biomarker s and Potential Therapeutic Targets in Human Cancer
Open accessAbstract
The matrix metalloproteinase (MMP) family of enzymes is comprised of critically important extracellular matrix remodeling proteases whose activity has been implicated in a number of key normal and pathologic processes. The latter include tumor growth, progression, and metastasis as well as the dysregulated angiogenesis that is associated with these events. As a result, these proteases have come to represent important therapeutic and diagnostic targets for the treatment and detection of human cancers. In this review, we summarize the literature that establishes these enzymes as important clinical targets, discuss the complexity surrounding their choice as such, and chronicle the development strategies and outcomes of their clinical testing to date. The status of the MMP inhibitors currently in US Food and Drug Administration approved clinical trials is presented and reviewed. We also discuss the more recent and successful targeting of this enzyme family as diagnostic and prognostic predictors of human cancer, its status, and its stage. This analysis includes a wide variety of human cancers and a number of human sample types including tissue, plasma, serum, and urine.
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Cites
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Bourboulia, D., & Stetler-Stevenson, W. G. (2010) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2010.05.002 · Cited by 710
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Metadata
- Authors
- Roy, R., Yang, J., & Moses, M. A.
- Venue
- Journal of Clinical Oncology
- Published
- 2009-11-01
- Volume
- 27
- Issue
- 31
- Pages
- 5287-5297
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2050834003
- Cited by
- 854
- References
- 128
- FWCI
- 18.45
- Type
- journal article
- Language
- en
- Open access
- green
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- Roy, R., Yang, J., & Moses, M. A. (2009). Matrix Metalloproteinases As Novel Biomarker s and Potential Therapeutic Targets in Human Cancer. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2009.23.5556
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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