Evidence map›Paper›PMID 28081541›Full record

ArticleBritish journal of cancer2017

Circular RNA 0000096 affects cell growth and migration in gastric cancer.

Peifei Li, Huilin Chen, Shengcan Chen, Xiaoyan Mo, Tianwen Li, Bingxiu Xiao, Rui Yu, Junming Guo

RetractedOpen access · hybridAbstract readRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Article in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 147 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed, 3 pooled it
17.0field-weighted citation impact, top 1% 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

147 citing papers in PubMed, 3 syntheses or guidelines pooled it, 228 citations in OpenAlex.

  1. Pooled it
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  17. Emerging Role of Circular RNAs in Hepatocellular Carcinoma Immunotherapy.International journal of molecular sciences · 2023
    Review
  18. Circular RNAs-mediated angiogenesis in human cancers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Review
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  20. Article

87 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Peifei LiDepartment of Biochemistry and Molecular Biology, Zhejiang Key Laboratory of Pathophysiology, Ningbo University School of Medicine, Ningbo 315211, China.
Huilin ChenDepartment of Human Body Function, Ningbo College of Health Sciences, Ningbo 315010, China.
Shengcan ChenDepartment of Biochemistry and Molecular Biology, Zhejiang Key Laboratory of Pathophysiology, Ningbo University School of Medicine, Ningbo 315211, China.
Xiaoyan MoDepartment of Biochemistry and Molecular Biology, Zhejiang Key Laboratory of Pathophysiology, Ningbo University School of Medicine, Ningbo 315211, China.
Tianwen LiDepartment of Biochemistry and Molecular Biology, Zhejiang Key Laboratory of Pathophysiology, Ningbo University School of Medicine, Ningbo 315211, China.
Bingxiu XiaoDepartment of Biochemistry and Molecular Biology, Zhejiang Key Laboratory of Pathophysiology, Ningbo University School of Medicine, Ningbo 315211, China.
Rui YuDepartment of Biochemistry and Molecular Biology, Zhejiang Key Laboratory of Pathophysiology, Ningbo University School of Medicine, Ningbo 315211, China.
Junming GuoDepartment of Biochemistry and Molecular Biology, Zhejiang Key Laboratory of Pathophysiology, Ningbo University School of Medicine, Ningbo 315211, China.
Ningbo University · CNNingbo College of Health Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCircular RNAs (circRNAs) are a class of non-coding RNAs broadly expressed in cells of various species. Their role in cancers, especially in gastric cancer, is poorly understood.

methodsCircular RNA 0000096 (hsa_circ_0000096) levels in 101 paired gastric cancer tissues and adjacent non-tumorous tissues from patients with gastric cancer were detected by real-time quantitative reverse transcription-polymerase chain reaction. A receiver operating characteristic curve was generated to evaluate the diagnostic value of hsa_circ_0000096. RNA interference was used to manipulate the expression of hsa_circ_0000096. Its biological effects were evaluated by flow cytometry, real-time cell analysis, a wound scratch assay, western blot analysis and xenograft models.

resultsHsa_circ_0000096 was found to be significantly downregulated in gastric cancer tissues and gastric cancer cell lines compared with paired adjacent non-tumorous tissues and normal gastric epithelial cells (P<0.001). Moreover, knockdown of hsa_circ_0000096 significantly inhibited cell proliferation and migration in vitro and in vivo. The results of both immunohistochemical and western blot analyses showed that the protein levels of cyclin D1, cyclin-dependent kinase 6 (CDK6), matrix metalloproteinase-2 and MMP-9 were significantly reduced in vitro and in vivo. A gastric cancer xenograft nude mouse model indicated that Ki67 and VEGF were reduced in a dose-dependent manner following knockdown of hsa_circ_0000096. However, the expression of E-cadherin increased.

conclusionsHsa_circ_0000096 may be used as a potential novel biomarker for gastric cancer. It affects gastric cancer cell growth and migration by regulating cyclin D1, CDK6, MMP-2 and MMP-9.

Indexed as

Down-RegulationAnimalsCell Cycle ProteinsCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticHumansMiceNeoplasm TransplantationPredictive Value of TestsRNARNA, CircularROC CurveStomach NeoplasmsCell Cycle ProteinsRNARNA, Circular

Identifiers

PMID28081541
PMCPMC5344286
OpenAlexW2572935411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.