Evidence map›Paper›PMID 29452095›Full record

ReviewBiochemical pharmacology2018

The role of free-fatty acid receptor-4 (FFA4) in human cancers and cancer cell lines.

Ilya S Senatorov, Nader H Moniri

Abstract readReview
In one paragraph

Review in Biochemical pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 42 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Ilya S SenatorovDepartment of Pharmaceutical Sciences, College of Pharmacy, Mercer University Health Sciences Center, Mercer University, Atlanta, GA 30341, United States.
Nader H MoniriDepartment of Pharmaceutical Sciences, College of Pharmacy, Mercer University Health Sciences Center, Mercer University, Atlanta, GA 30341, United States. Electronic address: moniri_nh@mercer.edu.
Mercer University Health Sciences Center · US

Funding

The role of phosphorylation in regulating the antidiabetic effects of O3FAR-1R15DK098730 · NIDDK · MERCER UNIVERSITY MACON · PI MONIRI, NADER H · 2013 to 2013
$410k
NIDDK NIH HHS R15 DK098730
6 · The paper itself

Abstract

A dietary influence on cancer progression has been evident for many decades, and dietary fatty acids, particularly long chain mono- and polyunsaturated fatty acids, have been shown to play significant roles in influencing growth of a variety of human cancers. The discovery of the family of cell-surface free-fatty acid receptors, which include the long-chain fatty acid receptors FFA1 and FFA4, suggest that many of the effects of dietary fats could be receptor-mediated. FFA4 is ubiquitously expressed and has recently been shown to modulate a variety of important anti-inflammatory and metabolic processes. Since FFA4 is currently an attractive drug target for treatment of metabolic disorders such as diabetes and obesity, understanding its role in cancer progression is critical towards the drug discovery process. In this research update, the current body of knowledge on the role of this receptor in regulating cancer cell proliferation, migration, and invasion, as well as in vivo tumorigenesis is reviewed.

Indexed as

Antineoplastic AgentsCell Line, TumorCell MovementCell ProliferationDietary FatsFatty Acids, NonesterifiedHumansNeoplasmsReceptors, G-Protein-CoupledAntineoplastic AgentsDietary FatsFatty Acids, NonesterifiedFFAR4 protein, humanReceptors, G-Protein-CoupledAH7614 (233085)CancerDHA (445580)EPA (446284)FFA4Free-fatty acidsGPR120GW1100 (11692123)GW9508 (CID 11595431)TUG-891 (57522038)

Identifiers

PMID29452095
PMCPMC5866782
OpenAlexW2793433430

What OpenQuestion holds

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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.