Evidence map›Paper›PMID 28251884›Full record

ArticleOncology research2017

miR-101-3p Suppresses HOX Transcript Antisense RNA (HOTAIR)-Induced Proliferation and Invasion Through Directly Targeting SRF in Gastric Carcinoma Cells.

Xiaoyu Wu, Jin Zhou, Zhenfeng Wu, Che Chen, Jiayun Liu, Guannan Wu, Jing Zhai, Fukun Liu, Gang Li

Open access · hybridAbstract read
In one paragraph

Article in Oncology research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 34 citations in OpenAlex.

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  14. Role of circular RNAs in gastric cancer: Recent advances and prospects.World journal of gastrointestinal oncology · 2019
    Review
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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

9 authors at 3 institutions in 1 country.

Xiaoyu Wu
Jin Zhou
Zhenfeng Wu
Che Chen
Jiayun Liu
Guannan Wu
Jing Zhai
Fukun Liu
Gang Li
Nanjing University of Chinese Medicine · CNNanjing Medical University · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

miR-101-3p has been identified as a tumor suppressor in several cancers, but its exact role in gastric adenocarcinoma is still largely unknown. In this study, we found that, compared with the RGM-1 human normal gastric epithelial cells, miR-101-3p was significantly downregulated in all six human gastric adenocarcinoma cell lines, including BGC-823, MNK-45, MGC-803, SGC-7901, AGS, and HGC-27. Overexpression of miR-101-3p suppressed both the proliferation and invasion of AGS gastric adenocarcinoma cells, and knockdown of miR-101-3p displayed the opposite effect. In addition, miR-101-3p could directly target and suppress the expression of the serum response factor (SRF) gene, which is a transcription factor of HOTAIR, a well-characterized tumor promoter lncRNA. miR-101-3p negatively regulated SRF-mediated transcription of HOTAIR. Moreover, silencing of either SRF or HOTAIR could counteract the promotion of gastric adenocarcinoma cell proliferation and invasion by miR-101-3p inhibition. Our findings indicate that miR-101-3p suppresses HOTAIR-induced proliferation and invasion through directly targeting SRF in gastric carcinoma cells.

Indexed as

AdenocarcinomaCell Line, TumorCell ProliferationDown-RegulationHumansMicroRNAsNeoplasm InvasivenessRNA, Long NoncodingSerum Response FactorStomach NeoplasmsTransfectionHOTAIR long untranslated RNA, humanMicroRNAsMIRN101 microRNA, humanRNA, Long NoncodingSerum Response FactorSRF protein, human

Identifiers

PMID28251884
PMCPMC7841108
OpenAlexW2591961806

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.