Evidence map›Paper›PMID 29923546›Full record

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

Identification of Potential Prostate Cancer-Related Pseudogenes Based on Competitive Endogenous RNA Network Hypothesis.

Tao Jiang, Junjie Guo, Zhongchun Hu, Ming Zhao, Zhenggang Gu, Shu Miao

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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-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

23 citing papers in PubMed, 95 citations in OpenAlex.

  1. Article
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  6. LINC00355 regulates p27NPJ breast cancer · 2022
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  17. LINC00355 promoted the progression of lung squamous cell carcinoma through regulating the miR-466/LYAR axis.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2020
    Article
  18. Article
  19. Identification of key long non-coding RNAs in gastric adenocarcinoma.Cancer biomarkers : section A of Disease markers · 2020
    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

6 authors at 1 institution in 1 country.

Tao JiangDepartment of Urology, Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang, China (mainland).
Junjie GuoDepartment of Pathogenic Biology, Qiqihar Medical University, Qiqihar, Heilongjiang, China (mainland).
Zhongchun HuDepartment of Urology, Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang, China (mainland).
Ming ZhaoDepartment of Urology, Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang, China (mainland).
Zhenggang GuDepartment of Urology, Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang, China (mainland).
Shu MiaoDepartment of Pharmacology, Qiqihar Medical University, Qiqihar, Heilongjiang, China (mainland).
Qiqihar Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Long noncoding RNAs (lncRNAs) have been revealed to function as competing endogenous RNAs (ceRNAs), which can seclude the common microRNAs (miRNAs) and hence prevent the miRNAs from binding to their ancestral gene. Nonetheless, the role of lncRNA-mediated ceRNAs in prostate cancer has not yet been elucidated. MATERIAL AND METHODS Using The Cancer Genome Atlas (TCGA) database, lncRNA, miRNA, and mRNA profiles from 499 prostate cancer tissues and 52 normal prostate tissues were analyzed with the R package "DESeq" to identify the differentially expressed RNAs. GO and KEGG pathway analyses were performed using "DAVID6.8" and R packages "Clusterprofile." The ceRNA network in prostate cancer was constructed using miRDB, miRTarBase, and TargetScan databases. Survival analysis was performed with Kaplan-Meier analysis. RESULTS A total of 376 lncRNAs, 33 miRNAs, and 687 mRNAs were identified as significant factors in tumorigenesis. Based on the hypothesis that the ceRNA network (lncRNA-miRNA-mRNA regulatory axis) is involved in prostate cancer and forms competitive interrelations between miRNA and mRNA or lncRNA, we constructed a ceRNA network that included 23 lncRNAs, 6 miRNAs, and 2 mRNAs that were differentially expressed in prostate cancer. Only 3 lncRNAs (LINC00308, LINC00355, and OSTN-AS1) had a significant association with survival (P<0.05). The 3 prostate cancer-specific lncRNA were validated in prostate cancer cell lines PC3 and DU145 using qRT-PCR. CONCLUSIONS We demonstrated the differential lncRNA expression profiles in prostate cancer, which provides new insights for future studies of the ceRNA network and its regulatory mechanisms in prostate cancer.

Indexed as

Biological OntologiesDatabases, GeneticGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleMetabolic Networks and PathwaysMicroRNAsProstateProstatic NeoplasmsRNA, Long NoncodingRNA, MessengerTranscriptomeMicroRNAsRNA, Long NoncodingRNA, Messenger

Identifiers

PMID29923546
PMCPMC6042310
OpenAlexW2809136393

What OpenQuestion holds

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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.