Evidence map›Paper›PMID 30444862›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2018

Functional Long Noncoding RNAs (lncRNAs) in Clear Cell Kidney Carcinoma Revealed by Reconstruction and Comprehensive Analysis of the lncRNA-miRNA-mRNA Regulatory Network.

Hehuan Zhu, Jun Lu, Hu Zhao, Zhan Chen, Qiang Cui, Zhiwen Lin, Xuyang Wang, Jie Wang, Huiyue Dong, Shuiliang Wang and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Long Noncoding RNACancer management and research · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

11 authors at 1 institution in 1 country.

Hehuan ZhuFujian Provincial Key Laboratory of Transplant Biology, Department of Urology, Fuzhou Dongfang Hospital, Xiamen University, Fuzhou, Fujian, China (mainland).
Jun LuFujian Provincial Key Laboratory of Transplant Biology, Department of Urology, Fuzhou Dongfang Hospital, Xiamen University, Fuzhou, Fujian, China (mainland).
Hu ZhaoFujian Provincial Key Laboratory of Transplant Biology, Department of Urology, Fuzhou Dongfang Hospital, Xiamen University, Fuzhou, Fujian, China (mainland).
Zhan ChenFujian Provincial Key Laboratory of Transplant Biology, Department of Urology, Fuzhou Dongfang Hospital, Xiamen University, Fuzhou, Fujian, China (mainland).
Qiang CuiFujian Provincial Key Laboratory of Transplant Biology, Department of Urology, Fuzhou Dongfang Hospital, Xiamen University, Fuzhou, Fujian, China (mainland).
Zhiwen LinFujian Provincial Key Laboratory of Transplant Biology, Department of Urology, Fuzhou Dongfang Hospital, Xiamen University, Fuzhou, Fujian, China (mainland).
Xuyang WangFujian Provincial Key Laboratory of Transplant Biology, Department of Urology, Fuzhou Dongfang Hospital, Xiamen University, Fuzhou, Fujian, China (mainland).
Jie WangFujian Provincial Key Laboratory of Transplant Biology, Department of Urology, Fuzhou Dongfang Hospital, Xiamen University, Fuzhou, Fujian, China (mainland).
Huiyue DongFujian Provincial Key Laboratory of Transplant Biology, Department of Urology, Fuzhou Dongfang Hospital, Xiamen University, Fuzhou, Fujian, China (mainland).
Shuiliang WangFujian Provincial Key Laboratory of Transplant Biology, Department of Urology, Fuzhou Dongfang Hospital, Xiamen University, Fuzhou, Fujian,, China (mainland).
Jianming TanFujian Provincial Key Laboratory of Transplant Biology, Department of Urology, Fuzhou Dongfang Hospital, Xiamen University, Fuzhou, Fujian, China (mainland).
Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND A variety of treatment strategies have been developed for clear cell kidney carcinoma (KIRC); however, there is still a need for effective therapeutic targets and prognostic molecular biomarkers. Given that long noncoding RNAs (lncRNAs) has been emerging as an important regulator in tumorigenesis, we explored potential functional lncRNAs in KIRC by comprehensively analyzing the lncRNA-miRNA-mRNA regulatory network with bioinformatics processing tools. MATERIAL AND METHODS RNA-seq/miRNA-seq data of KIRC in The Cancer Genome Atlas (TCGA) were obtained and analyzed. The "edgeR" package in R software was used to identify differentially expressed lncRNAs (DElncRNAs, differentially expressed long noncoding RNAs), miRNAs (DEmiRNAs, differentially expressed micro RNAs), and mRNAs (DEmRNAs, differentially expressed messenger RNAs) in KIRC and normal samples. A global triple network was conducted based on the competing endogenous RNA (ceRNA) theory, and survival analysis was conducted by "survival" package in R software. RESULTS A total of 4246 DElncRNAs, 179 DEmiRNAs, and 5758 DEmRNAs were identified, among which a subset of them (321 lncRNAs, 26 miRNAs, and 1068 mRNAs) were found to constitute a global ceRNA network in KIRC. Four lncRNAs (ENTPD3-AS1, FGD5-AS1, LIFR-AS1, and UBAC2-AS1) were revealed to be potential therapeutic targets as well as prognostic biomarkers of KIRC by our extensive functional analysis. CONCLUSIONS We reported here the identification of functional lncRNAs in KIRC via a TCGA data-based bioinformatics analysis. We believe that this study might contribute to improving the comprehension of the lncRNA-mediated ceRNA regulatory mechanisms in the tumorigenesis of KIRC. Meanwhile, our results suggested that 4 lncRNAs might act as potential therapeutic targets or candidate prognostic biomarkers in KIRC.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellComputational BiologyDatabases, GeneticGene Regulatory NetworksHumansKaplan-Meier EstimateKidney NeoplasmsMicroRNAsPrognosisRNA, Long NoncodingRNA, MessengerSurvival AnalysisBiomarkers, TumorMicroRNAsRNA, Long NoncodingRNA, Messenger

Identifiers

PMID30444862
PMCPMC6251074
OpenAlexW2901590794

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.