Evidence map›Paper›PMID 37513440›Full record

ReviewMolecules (Basel, Switzerland)2023

Matrix Metalloproteinases Inhibitors in Cancer Treatment: An Updated Review (2013-2023).

Shriefa Almutairi, Hanin Moh'd Kalloush, Nour A Manoon, Sanaa K Bardaweel

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

64 citing papers in PubMed.

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4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shriefa AlmutairiDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Jordan, Amman 11942, Jordan.ORCID 0000-0002-0695-5014
Hanin Moh'd KalloushDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Jordan, Amman 11942, Jordan.
Nour A ManoonDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Jordan, Amman 11942, Jordan.
Sanaa K BardaweelDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Jordan, Amman 11942, Jordan.ORCID 0000-0002-4823-0708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Matrix metalloproteinases (MMPs) are identifiable members of proteolytic enzymes that can degrade a wide range of proteins in the extracellular matrix (ECM). MMPs can be categorized into six groups based on their substrate specificity and structural differences: collagenases, gelatinases, stromelysins, matrilysins, metalloelastase, and membrane-type MMPs. MMPs have been linked to a wide variety of biological processes, such as cell transformation and carcinogenesis. Over time, MMPs have been evaluated for their role in cancer progression, migration, and metastasis. Accordingly, various MMPs have become attractive therapeutic targets for anticancer drug development. The first generations of broad-spectrum MMP inhibitors displayed effective inhibitory activities but failed in clinical trials due to poor selectivity. Thanks to the evolution of X-ray crystallography, NMR analysis, and homology modeling studies, it has been possible to characterize the active sites of various MMPs and, consequently, to develop more selective, second-generation MMP inhibitors. In this review, we summarize the computational and synthesis approaches used in the development of MMP inhibitors and their evaluation as potential anticancer agents.

Indexed as

Antineoplastic AgentsNeoplasmsExtracellular MatrixHumansMatrix Metalloproteinase InhibitorsMatrix MetalloproteinasesAntineoplastic AgentsMatrix Metalloproteinase InhibitorsMatrix Metalloproteinasesanticancer activityextra-cellular matrix remodelinginhibitorsmatrix metalloproteinases (MMPs)

Identifiers

PMID37513440
PMCPMC10384300

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.