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Cited by 556

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Matrix metalloproteinase-9 (MMP-9) and its inhibitors in cancer: A minireview

Open access
Mondal, Subha, Adhikari, Nilanjan, Banerjee, Suvankar, Amin, Sk Abdul, Jha, Tarun·2020·European Journal of Medicinal Chemistry

Abstract

Matrix metalloproteinases (MMPs) are zinc dependent proteolytic metalloenzyme. MMP-9 is one of the most complex forms of matrix metalloproteinases. MMP-9 has the ability to degrade the extracellular matrix (ECM) components and has important role in the pathophysiological functions. Overexpression and dysregulation of MMP-9 is associated with various diseases. Thus, regulation and inhibition of MMP-9 is an important therapeutic approach for combating various diseases including cancer. Inhibitors of MMP-9 can be used as anticancer agents. Till date no selective MMP-9 inhibitors passed the clinical trials. In this review the structure, activation, function and inhibitors of MMP-9 are mainly focused. Some highly active and/or selective MMP-9 inhibitors have been discussed which may be helpful to explore the structural significance of MMP-9 inhibitors. This study may be useful to design new potent and selective MMP-9 inhibitors against cancer in future.

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Metadata

Authors
Mondal, S., Adhikari, N., Banerjee, S., Amin, S. A., & Jha, T.
Venue
European Journal of Medicinal Chemistry
Publisher
Elsevier BV
Published
2020-05
Volume
194
Pages
112260
ISSN
0223-5234 (ISSN-L)
OpenAlex
W3011825303
Cited by
556
References
4
FWCI
20.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Matrix metalloproteinase-9 (MMP-9) and its inhibitors in cancer: A minireview. https://app.cochat.ai/papers/10.1016/j.ejmech.2020.112260
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Mondal, S., Adhikari, N., Banerjee, S., Amin, S. A., & Jha, T. (2020). Matrix metalloproteinase-9 (MMP-9) and its inhibitors in cancer: A minireview. European Journal of Medicinal Chemistry. https://doi.org/10.1016/j.ejmech.2020.112260

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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.