Evidence map›Paper›PMID 34178135›Full record

ArticleExperimental and therapeutic medicine2021

Long non-coding RNA NEAT1 increases the aggressiveness of gastric cancer by regulating the microRNA-142-5p/JAG1 axis.

Yanming Zhang, Liying Chang, Qunmei Wu, Fang Zuo

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 3 institutions in 1 country.

Yanming ZhangDepartment of General Medicine, Yantaishan Hospital, Yantai, Shandong 264001, P.R. China.
Liying ChangHealth Management Center, Qingdao Tumor Hospital, Qingdao, Shandong 266042, P.R. China.
Qunmei WuHealth Management Center, Qingdao Central Hospital, Qingdao, Shandong 266042, P.R. China.
Fang ZuoDepartment of Gastroenterology, Jinan Central Hospital, Jinan, Shandong 250010, P.R. China.
Jinan Central Hospital · CNQingdao Municipal Hospital · CNYantaishan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer has been indicated to have a high recurrence rate in China. Previous studies have revealed that long non-coding RNA nuclear-enriched abundant transcript 1 (NEAT1) exerted critical roles in cancers. Therefore, the present study aimed to determine the function of NEAT1 and explore the unknown molecular mechanisms of gastric cancer pathogenesis. Reverse transcription-quantitative PCR assay was used to examine the expression of NEAT1, microRNA (miR)-142-5p and jagged1 (JAG1) in gastric cancer. Cell Counting Kit-8 and Transwell assays were conducted to examine cell proliferation, migration and invasion. The protein expression levels of N-cadherin, Vimentin, E-cadherin and JAG1 were quantified by western blot assay. The associations among NEAT1, miR-142-5p and JAG1 were confirmed by dual-luciferase reporter assay and RNA immunoprecipitation. The effects of NEAT1 silencing on tumor growth were evaluated by tumor xenografts. The results indicated that NEAT1 was highly expressed in tumor tissues and cells compared with that in paracancerous tissues and the normal gastric epithelial cell line GES-1 and significantly associated with poor prognosis in gastric cancer. Functional analyses further demonstrated that NEAT1 knockdown suppressed proliferation, motility and tumor growth

Indexed as

gastric cancerjagged1long non-coding RNAmicroRNA-142-5pnuclear-enriched abundant transcript 1

Identifiers

PMID34178135
PMCPMC8220654
OpenAlexW3172891477

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.