Evidence map›Paper›PMID 30792392›Full record

ReviewNature communications2019

The shape of human squalene epoxidase expands the arsenal against cancer.

Andrew J Brown, Ngee Kiat Chua, Nieng Yan

Open access · goldAbstract readReview
In one paragraph

Review in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Squalene Epoxidase: Its Regulations and Links with Cancers.International journal of molecular sciences · 2024
    Pooled it
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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

3 authors at 2 institutions in 2 countries.

Andrew J BrownSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia. aj.brown@unsw.edu.au.
Ngee Kiat ChuaSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
Nieng YanDepartment of Molecular Biology, Princeton, NJ, 08544-1014, USA.
UNSW Sydney · AUPrinceton University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Squalene epoxidase (also known as squalene monooxygenase, EC 1.14.99.7) is a key rate-limiting enzyme in cholesterol biosynthesis. Anil Padyana and colleagues report the long awaited structure of human squalene epoxidase (SQLE). They solved the crystal structure of the catalytic domain of human SQLE alone and in complex with two similar pharmacological inhibitors and elucidate their mechanism of action. SQLE is the target of fungicides and of increasing interest in human health and disease, particularly as a new anti-cancer target. Indeed, in a companion paper, Christopher Mahoney and colleagues performed an inhibitor screen with cancer cell lines and identified SQLE as an unique vulnerability in a subset of neuroendocrine tumours, where SQLE inhibition caused a toxic accumulation of the substrate squalene. The SQLE structure will facilitate the development of improved inhibitors. Here, we comment on these two studies in the wider context of the field and discuss possible future directions.

Indexed as

Biosynthetic PathwaysCatalytic DomainCell Line, TumorCholesterolCrystallography, X-RayDrug Screening Assays, AntitumorEnzyme InhibitorsHumansModels, MolecularNeoplasmsProtein ConformationSqualene MonooxygenaseCholesterolEnzyme InhibitorsSqualene Monooxygenase

Identifiers

PMID30792392
PMCPMC6384927
OpenAlexW2915682050

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.