Evidence map›Paper›PMID 30965350›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

Construction and Analysis of lncRNA-Mediated ceRNA Network in Cervical Squamous Cell Carcinoma by Weighted Gene Co-Expression Network Analysis.

Weihao Chen, Xudong Chen, Yurong Wang, Tianhao Liu, Yudan Liang, Ya Xiao, Liguo Chen

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 28% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. lncRNA H19 acts as a ceRNA to regulate the expression of CTGF by targeting miR-19b in polycystic ovary syndrome.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2020
    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

7 authors at 1 institution in 1 country.

Weihao ChenCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, Guangdong, China (mainland).
Xudong ChenCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, Guangdong, China (mainland).
Yurong WangCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, Guangdong, China (mainland).
Tianhao LiuCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, Guangdong, China (mainland).
Yudan LiangCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, Guangdong, China (mainland).
Ya XiaoCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, Guangdong, China (mainland).
Liguo ChenCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, Guangdong, China (mainland).
Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND More and more recent studies have clearly shown that long non-coding RNA (lncRNA) should be considered as a fundamental part of the ceRNA network, mainly because lncRNA can act as miRNA sponges to regulate the protein-coding gene expression. Nevertheless, it is still not clear how lncRNA-mediated ceRNAs function in cervical squamous cell carcinoma (CESC). Moreover, information about the ceRNA regulatory mechanism is also remarkably limited; thus, prediction of CESC prognosis using ceRNA-related information remains challenging. MATERIAL AND METHODS We collected 306 RNA (lncRNA, miRNA, and mRNA) expression profile datasets obtained from cervical squamous cancer tissues plus 3 more from adjacent cervical tissues via the TCGA database. Subsequently, we constructed a lncRNAs-miRNAs-mRNAs CESC ceRNA network, and Gene Ontology (GO) analysis was carried out. RESULTS We identified a total of 30 DElncRNAs, 70 DEmiRNAs, and 1089 DEmRNAs in CESC. Subsequently, to reveal the expression patterns of dysregulated genes, weighted gene co-expression network analysis was carried out, resulting in 3 co-expression modules with significantly related clinical properties. The constructed aberrant lncRNAs-miRNAs-mRNAs CESC ceRNA network was composed of 17 DEmiRNAs, 5 DElncRNAs, and 7 DEmRNAs. Moreover, the survival analysis was performed for DElncRNAs, DEmiRNAs, and DEmRNAs. CONCLUSIONS The present study shows the involvement of the lncRNA-related ceRNA network in the pathogenesis of CESC. We believe the newly generated ceRNA network will provide more insights into the lncRNA-mediated ceRNA regulatory mechanisms.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksCarcinoma, Squamous CellFemaleGene OntologyGenes, NeoplasmHumansKaplan-Meier EstimateMicroRNAsMiddle AgedProtein Interaction MapsRNA, Long NoncodingRNA, MessengerRNA, NeoplasmUterine Cervical NeoplasmsMicroRNAsRNA, Long NoncodingRNA, MessengerRNA, Neoplasm

Identifiers

PMID30965350
PMCPMC6474298
OpenAlexW2935852250

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.