Evidence map›Paper›PMID 32527185›Full record

ArticleThe Journal of international medical research2020

Bioinformatics analysis of the circRNA-miRNA-mRNA network for non-small cell lung cancer.

Xueying Cai, Lixuan Lin, Qiuhua Zhang, Weixin Wu, An Su

Abstract read
In one paragraph

Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

  1. Article
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  5. Article
  6. The Tumorigenic Role of Circular RNA-MicroRNA Axis in Cancer.International journal of molecular sciences · 2023
    Review
  7. Article
  8. Hsa_circ_0079530/AQP4 Axis Is Related to Non-Small Cell Lung Cancer Development and Radiosensitivity.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Hsa_circ_0041268 promotes NSCLC progress by sponging miR-214-5p/ROCK1.Journal of clinical laboratory analysis · 2022
    Article
  16. Article
  17. Article
  18. Article
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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.

Xueying CaiDepartment of Respiratory Medicine, Zhongshan Hospital, Xiamen University, Xiamen City, Fujian Province, China.
Lixuan LinDepartment of Basic Medicine, College of Life Sciences, Sichuan University, Chengdu, China.
Qiuhua ZhangDepartment of Internal Medicine and Oncology, Zhongshan Hospital, Xiamen University, Xiamen City, Fujian Province, China.
Weixin WuDepartment of Internal Medicine and Oncology, Zhongshan Hospital, Xiamen University, Xiamen City, Fujian Province, China.ORCID https://orcid.org/0000-0003-3062-6787
An SuDepartment of Internal Medicine and Oncology, Zhongshan Hospital, Xiamen University, Xiamen City, Fujian Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNon-small cell lung cancer (NSCLC) accounts for approximately 80% of all lung cancers, but its pathogenesis has not been fully elucidated. Therefore, it is valuable to explore the pathogenesis of NSCLC to improve diagnosis and identify novel treatment biomarkers.

methodsCircular (circ)RNA, micro (mi)RNA, and gene expression datasets of NSCLC were analyzed to identify those that were differentially expressed between tumor and healthy tissues. Common genes were found and pathway enrichment analyses were performed. Survival analysis was used to identify hub genes, and their level of methylation and association with immune cell infiltration were analyzed. Finally, an NSCLC circRNA-miRNA-mRNA network was constructed.

resultsEight miRNAs and 211 common genes were identified. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses revealed that cell projection morphogenesis, blood vessel morphogenesis, muscle cell proliferation, and synapse organization were enriched. Ten hub genes were found, of which the expression of

conclusionshsa_circ_0001947/hsa-miR-637/RRM2 and hsa_circ_0072305/hsa-miR-127-5p/DTL networks were constructed, and identified molecules may be involved in the occurrence and development of NSCLC.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksBiomarkers, TumorCarcinoma, Non-Small-Cell LungComputational BiologyDatasets as TopicGene Expression ProfilingHumansLungLung NeoplasmsMicroRNAsPrognosisProtein Interaction MappingProtein Interaction MapsRNA, CircularRNA, MessengerBiomarkers, TumorMicroRNAsRNA, CircularRNA, Messengerbioinformaticscircular RNAdifferential expressionhub genemethylationmicroRNANon-small cell lung cancersurvival analysis

Identifiers

PMID32527185
PMCPMC7294496

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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.