Evidence map›Paper›PMID 29328463›Full record

ArticleOncology reports2018

Construction and investigation of lncRNA-associated ceRNA regulatory network in papillary thyroid cancer.

Yangjing Zhao, Hui Wang, Chengjiang Wu, Meina Yan, Haojie Wu, Jingzhe Wang, Xinxin Yang, Qixiang Shao

Open access · bronzeAbstract read
In one paragraph

Article in Oncology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

50 citing papers in PubMed, 82 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 1 institution in 1 country.

Yangjing ZhaoDepartment of Immunology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, P.R. China.
Hui WangDepartment of Immunology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, P.R. China.
Chengjiang WuDepartment of Immunology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, P.R. China.
Meina YanDepartment of Immunology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, P.R. China.
Haojie WuDepartment of Immunology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, P.R. China.
Jingzhe WangDepartment of Immunology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, P.R. China.
Xinxin YangDepartment of Immunology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, P.R. China.
Qixiang ShaoDepartment of Immunology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, P.R. China.
Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence has experimentally proved the competitive endogenous RNA (ceRNA) hypothesis that long non-coding RNA (lncRNA) can affect the expression of RNA targets by competitively combining microRNA (miRNA) via miRNA response elements. However, an extensive ceRNA network of thyroid carcinoma in a large cohort has not been evaluated. We analyzed the RNAseq and miRNAseq data of 348 cases of primary papillary thyroid cancer (PTC) patients with clinical information downloaded from The Cancer Genome Atlas (TCGA) project to search for potential biomarkers or therapeutic targets. A computational approach was applied to build an lncRNA-miRNA-mRNA regulatory network of PTC. In total, 780 lncRNAs were detected as collectively dysregulated lncRNAs in all 3 PTC variants compared with normal tissues (fold change >2 and false discovery rate <0.05). The interactions among 45 lncRNAs, 13 miRNAs and 86 mRNAs constituted a ceRNA network of PTC. Nine out of the 45 aberrantly expressed lncRNAs were related to the clinical features of PTC patients. However, the expression levels of 3 lncRNAs (LINC00284, RBMS3-AS1 and ZFX-AS1) were identified to be tightly correlated with the patients overall survival (log-rank, P<0.05). The present study identified a list of specific lncRNAs associated with PTC progression and prognosis. This complex ceRNA interaction network in PTC may provide guidance for better understanding the molecular mechanisms underlying PTC.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksAdenocarcinoma, FollicularBiomarkers, TumorCarcinoma, PapillaryCase-Control StudiesCohort StudiesDatabases, GeneticFemaleFollow-Up StudiesHumansMaleMicroRNAsMiddle AgedPrognosisRNA, Long NoncodingBiomarkers, TumorMicroRNAsRNA, Long NoncodingRNA, Messenger

Identifiers

PMID29328463
PMCPMC5802034
OpenAlexW2783102652

What OpenQuestion holds

Textmetadata
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.