Evidence map›Paper›PMID 20486866›Full record

ArticleExpert opinion on therapeutic patents2010

Metalloproteinase binding proteins: WO2009097397.

Yoshifumi Itoh

Open access · greenAbstract read
In one paragraph

Article in Expert opinion on therapeutic patents, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 35% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 2 countries.

Yoshifumi ItohKennedy Institute of Rheumatology, Imperial College London, Hammersmith, UK. y.itoh@imperial.ac.uk
Hammersmith Hospital · GB

Funding

Arthritis Research UKCancer Research UKMedical Research Council G0802007Medical Research Council G0802007(89316)
6 · The paper itself

Abstract

MMPs are a group of metalloendopeptidases whose major role is in extracellular matrix (ECM) catabolism under physiological and pathological conditions. ECM catabolism is often associated with different diseases, and accumulated studies support the causal relationship between MMPs and different diseases especially with cancer and arthritis. Therefore, MMPs have been considered as therapeutic target molecules. However, multiple failures of MMP inhibitor drugs in clinical trials from late 1990s to early 2000s resulted in the consideration that wide inhibitory spectrum inhibitors of metalloproteinases may not be desirable for treatment of diseases. On the other hand, developing low molecular mass selective inhibitor(s) targeting the active site is not a very easy task. One way to overcome this problem is to develop biologic inhibitors, namely antibodies. In this patent application, Dyax Corp. reported that a binding protein (such as an antibody) against metalloproteinases, especially membrane-type 1 MMP (MMP-14) can be used as a therapeutic drug against different diseases including cancer. They succeeded in generating a selective MMP-14 inhibitory antibody with a K(i) of 0.6 nM, which showed significant suppression of different tumour growth in mice. Further development of such an antibody as a drug may fulfil an unmet area of disease treatment targeting uncontrolled cell invasion and tissue destruction.

Indexed as

AnimalsAntibodiesAntineoplastic AgentsHumansMatrix Metalloproteinase InhibitorsMetalloendopeptidasesMiceNeoplasms, ExperimentalPatents as TopicProtease InhibitorsTumor BurdenXenograft Model Antitumor AssaysAntibodiesAntineoplastic AgentsMatrix Metalloproteinase InhibitorsMetalloendopeptidasesProtease Inhibitors

Identifiers

PMID20486866
PMCPMC2912531
OpenAlexW1982791647

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.