Evidence map›Paper›PMID 29286919›Full record

ArticleCancer biomarkers : section A of Disease markers2018

Knockdown of lncRNA GHET1 suppresses cell proliferation, invasion and LATS1/YAP pathway in non small cell lung cancer.

Zhen-Biao Guan, Yu-Shu Cao, Yi Li, Wan-Ning Tong, An-Shan Zhuo

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 pooled it
2.6field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 43 citations in OpenAlex.

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  20. The Expression ofReports of biochemistry & molecular biology · 2019
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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

5 authors.

Zhen-Biao Guan
Yu-Shu Cao
Yi Li
Wan-Ning Tong
An-Shan Zhuo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim in this study was to explore the role of long non-coding RNA GHET1 in development of non small cell lung cancer (NSCLC).

methodsLncRNA GHET1 expression levels were analyzed by qRT-PCR in tumor tissues and adjacent normal tissues in NSCLC. Measuring the cell proliferation and invasion abilities by CCK8, cell colony formation and transwell invasion assays. Relative protein expression was analyzed by western blot assays.

resultsExpression of lncRNA GHET1 was notably higher in NSCLC tissues compared with adjacent normal tissues by using qRT-PCR analyses. Higher lncRNA GHET1 expression associated with lymph node metastasis, TNM stage and showed poor outcome in NSCLC patients. Knockdown of lncRNA GHET1 suppressed cell proliferation and invasion capacity and Epithelial-Mesenchymal Transition (EMT) phenomenon of NSCLC cells. Moreover, we demonstrated that knockdown of lncRNA GHET1 suppresses LATS1/YAP pathway signaling pathway by downregulating YAP1 expression in NSCLC cells.

conclusionsGHET1 predicted a poor outcome and acted as a tumor-promoting gene in NSCLC. Thus, inhibition of GHET1 may be a potential target of NSCLC treatment.

Indexed as

Carcinoma, Non-Small-Cell LungCell Cycle ProteinsCell Line, TumorCell MovementCell ProliferationGene ExpressionGene Knockdown TechniquesHumansLung NeoplasmsNeoplasm GradingNeoplasm MetastasisNeoplasm StagingNuclear ProteinsPrognosisProtein Serine-Threonine KinasesRNA, Long NoncodingCell Cycle ProteinsGHET1 transcript, humanLATS1 protein, humanNuclear ProteinsProtein Serine-Threonine KinasesRNA, Long NoncodingTranscription FactorsYY1AP1 protein, humancell invasioncell proliferationGHET1long non-coding RNANon small cell lung cancer

Identifiers

PMID29286919
PMCPMC13078292
OpenAlexW2779611759

What OpenQuestion holds

Textmetadata
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.