Evidence map›Paper›PMID 30068360›Full record

ArticleJournal of translational medicine2018

Regulatory network of circRNA-miRNA-mRNA contributes to the histological classification and disease progression in gastric cancer.

Jia Cheng, Huiqin Zhuo, Mao Xu, Linpei Wang, Hao Xu, Jigui Peng, Jingjing Hou, Lingyun Lin, Jianchun Cai

Abstract read
In one paragraph

Article in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

112 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Circular RNAs and Cancers.Advances in experimental medicine and biology · 2025
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  17. [Research Progress of Circular RNA CircHIPK3 in Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024
    Review
  18. Article
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  20. Review

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

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.

Jia ChengDepartment of Gastrointestinal Surgery, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China.
Huiqin ZhuoDepartment of Gastrointestinal Surgery, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China.
Mao XuDepartment of Gastrointestinal Surgery, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China.
Linpei WangDepartment of Gastrointestinal Surgery, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China.
Hao XuDepartment of Gastrointestinal Surgery, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China.
Jigui PengDepartment of Gastrointestinal Surgery, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China.
Jingjing HouDepartment of Gastrointestinal Surgery, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China.
Lingyun LinDepartment of Gastrointestinal Surgery, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China.
Jianchun CaiDepartment of Gastrointestinal Surgery, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China. jianchunfh2@sina.com.

Funding

Fujian Provincial Medical Innovation Project 2017-CXB-15National Natural Science Foundation of China 81172283National Natural Science Foundation of China 81372616Natural Science Foundation of Fujian Province 2012D037Natural Science Foundation of Xiamen 3502Z20174076
6 · The paper itself

Abstract

backgroundLittle has been known about the role of non-coding RNA regulatory network in the patterns of growth and invasiveness of gastric cancer (GC) development.

methodsMicroRNAs (miRNAs) microarray was used to screen differential miRNA expression profiles in Ming's classification. The significant differential expressions of representative miRNAs and their interacting circular RNA (circRNA) were confirmed in GC cell line and 63 pairs of GC samples. Then, a circRNA/miRNA network was constructed by bioinformatics approaches to identify molecular pathways. Finally, we explored the clinical value of the common targets in the pathway by using receiver operating characteristic curve and survival analysis.

resultsSignificantly differential expressed miRNAs were found in two pathological types of GC. Both of miR-124 and miR-29b were consistently down-regulated in GC. CircHIPK3 could play a negative regulatory role on miR-124/miR-29b expression and associated with T stage and Ming's classification in GC. The bioinformatics analyses showed that targets expression of circHIPK3-miR-124/miR-29b axes in cancer-related pathways was able to predict the status of GC and associated with individual survival time.

conclusionsThe targets of circHIPK3-miR-124/miR-29b axes involved in the progression of GC. CircHIPK3 could take part in the proliferation process of GC cell and may be potential biomarker in histological classification of GC.

Indexed as

Disease ProgressionGene Expression Regulation, NeoplasticGene Regulatory NetworksBiomarkers, TumorCell Line, TumorCell ProliferationFemaleGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedModels, BiologicalMolecular Sequence AnnotationNeoplasm InvasivenessPrognosisBiomarkers, TumorMicroRNAsRNARNA, CircularRNA, MessengercircRNAMing’s classificationmiR-124miR-29bROC curveStomach neoplasm

Identifiers

PMID30068360
PMCPMC6071397

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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.