Evidence map›Paper›PMID 35017464›Full record

ArticleCell death & disease2022

Linc01133 contributes to gastric cancer growth by enhancing YES1-dependent YAP1 nuclear translocation via sponging miR-145-5p.

Yujing Sun, Yuan Tian, Junyi He, Yaru Tian, Guohao Zhang, Ruinan Zhao, Wen-Jie Zhu, Peng Gao

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2022. 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
2.6field-weighted citation impact, top 9% 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, 27 citations in OpenAlex.

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  13. The Hippo signaling pathway in gastric cancer.Acta biochimica et biophysica Sinica · 2023
    Review
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  20. Placental stem cells-derived exosomes stimulate cutaneous wound regenerationFrontiers in bioengineering and biotechnology · 2022
    Article
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

8 authors at 2 institutions in 1 country.

Yujing SunKey Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, School of Basic Medical Science, Cheeloo College of Medicine, Shandong University, Jinan, PR China.
Yuan TianKey Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, School of Basic Medical Science, Cheeloo College of Medicine, Shandong University, Jinan, PR China.
Junyi HeDepartment of Pathology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, PR China.
Yaru TianDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan, PR China.
Guohao ZhangKey Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, School of Basic Medical Science, Cheeloo College of Medicine, Shandong University, Jinan, PR China.
Ruinan ZhaoKey Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, School of Basic Medical Science, Cheeloo College of Medicine, Shandong University, Jinan, PR China.
Wen-Jie ZhuKey Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, School of Basic Medical Science, Cheeloo College of Medicine, Shandong University, Jinan, PR China. 15266203531@163.com.ORCID 0000-0002-2255-240X
Peng GaoKey Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, School of Basic Medical Science, Cheeloo College of Medicine, Shandong University, Jinan, PR China. gaopeng@sdu.edu.cn.ORCID 0000-0002-4721-0887
Shandong University · CNQilu Hospital of Shandong University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81872362National Natural Science Foundation of China (National Science Foundation of China) 82002526National Natural Science Foundation of China (National Science Foundation of China) 82072665Natural Science Foundation of Shandong Province (Shandong Provincial Natural Science Foundation) ZR2020QH231Taishan Scholar Project of Shandong Province ts201511096
6 · The paper itself

Abstract

The long intergenic non-coding RNA linc01133 is reported to be oncogenic in various malignancies. However, the role and mechanism of linc01133 in regulating gastric cancer growth is still not clear. In the present study, we found that linc01133 was significantly upregulated in gastric cancer tissues compared to non-tumorous gastric tissues. Linc01133 over-expression significantly correlated with tumor size and tumor differentiation in gastric cancer patients. The expression of linc01133 was regulated by c-Jun and c-Fos collaboratively. In both in vitro and in vivo studies, linc01133 was shown to promote gastric cancer cell growth. Linc01133 localized in the cytoplasm and functioned as an endogenous competing RNA of miR-145-5p to upregulate the expression of YES1, which was proved to be the target gene of miR-145-5p. By promoting YES1-dependent YAP1 nuclear translocation, linc01133 upregulated the expression of the key cell cycle regulators CDK4, CDK6 and cyclin D1 to promote G1-S phase transition. Thus, our study unveiled the function and mechanism of linc01133 regulating cell cycle progression in gastric cancer.

Indexed as

MicroRNAsStomach NeoplasmsCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticHumansOncogenesProto-Oncogene Proteins c-yesRNA, Long NoncodingYAP-Signaling Proteinslong non-coding RNA LINC01133, humanMicroRNAsMIRN145 microRNA, humanProto-Oncogene Proteins c-yesRNA, Long NoncodingYAP1 protein, humanYAP-Signaling ProteinsYES1 protein, human

Identifiers

PMID35017464
PMCPMC8752595
OpenAlexW4206439247

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.