Evidence map›Paper›PMID 30441818›Full record

ReviewMolecules (Basel, Switzerland)2018

The Development of Assays for Heparanase Enzymatic Activity: Towards a Gold Standard.

Mohit Chhabra, Vito Ferro

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Forty Years of Basic and Translational Heparanase Research.Advances in experimental medicine and biology · 2020
    Review
  10. Review
  11. Introduction to the Molecules Special Edition Entitled 'Molecules (Basel, Switzerland) · 2019
    Article
  12. Review
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

2 authors at 1 institution in 1 country.

Mohit ChhabraSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072, Australia. m.chhabra@uq.edu.au.
Vito FerroSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072, Australia. v.ferro@uq.edu.au.ORCID 0000-0003-3306-2550
The University of Queensland · AU

Funding

Australian Research Council DP170104431
6 · The paper itself

Abstract

The enzyme heparanase, an endo-β-glucuronidase, degrades heparan sulfate (HS) chains on the cell surface and in the extracellular matrix. Heparanase regulates numerous biological processes that drive tumour growth, metastasis and angiogenesis. In addition to its key role in cancer progression, it has also been implicated in an ever-growing number of other diseases, particularly those associated with inflammation. The importance of heparanase in biology has led to numerous efforts over the years to develop assays to monitor its activity and to screen for new inhibitors as potential drug candidates. Despite these efforts and the commercialization of a few kits, most heparanase assays are still complex, labour intensive, costly or have limited application. Herein we review the various methods for assaying heparanase enzymatic activity, focusing on recent developments towards new assays that hold the promise of accelerating research into this important enzyme.

Indexed as

AnimalsDisaccharidesEnzyme ActivationEnzyme AssaysGlucuronidaseHeparanaseHeparan SulfateHumansSubstrate SpecificityDisaccharidesGlucuronidaseHeparanaseHeparan Sulfateenzyme assayfondaparinuxglycosaminoglycanheparanaseheparan sulfate

Identifiers

PMID30441818
PMCPMC6278452
OpenAlexW2900671225

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.