Evidence map›Paper›PMID 29321084›Full record

ArticleOncology research2018

miR-143 Inhibits Cell Proliferation of Gastric Cancer Cells Through Targeting GATA6.

Mao Guoping, Liu Ran, Qin Yanru

Open access · hybridAbstract read
In one paragraph

Article in Oncology research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

13 citing papers in PubMed, 20 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

3 authors at 1 institution in 1 country.

Mao GuopingDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P.R. China.
Liu RanDepartment of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P.R. China.
Qin YanruDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P.R. China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have suggested that the dysregulation of microRNAs (miRNAs) plays a critical role in the progression of human cancers, including gastric cancer (GC). miR-143 had been reported to function as a tumor suppressor in GC. However, the exact molecular mechanism of how miR-143 participates in GC progression remains to be determined. In this present study, we revealed that the expression of miR-143 was significantly downregulated in human GC tissues and cell lines compared with normal tissues and a normal gastric epithelium cell line. In addition, upregulation of the expression of miR-143 in a GC cell line inhibited cell proliferation and induced cell cycle arrested in the G0/G1 phase. Furthermore, GATA6 was identified as a direct target of miR-143 in GC using the luciferase reporter assay. Upregulation of miR-143 inhibited the expression of GATA6 in GC cell lines. Moreover, the overexpression of GATA6 could attenuate the effect of miR-143 on cell proliferation in the GC cell lines. Collectively, these data indicated that miR-143 plays a tumor suppressor role partly through regulating the expression of GATA6 in GC. Therefore, targeting miR-143 may be a novel therapeutic method for GC.

Indexed as

Gene Expression Regulation, NeoplasticApoptosisBiomarkers, TumorCell CycleCell ProliferationGATA6 Transcription FactorHumansMicroRNAsNeoplasm InvasivenessPrognosisStomach NeoplasmsTumor Cells, CulturedBiomarkers, TumorGATA6 protein, humanGATA6 Transcription FactorMicroRNAsMIRN143 microRNA, human

Identifiers

PMID29321084
PMCPMC7844708
OpenAlexW2783544799

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.