Evidence map›Paper›PMID 33532293›Full record

ArticleTranslational andrology and urology2021

Identification of a potentially functional circRNA-miRNA-mRNA ceRNA regulatory network in bladder cancer by analysis of microarray data.

Lei Du, Xin Wang, Yuewei Yin, Yanping Zhang, Jianghua Jia, Baosai Lu, Wenyong Xue, Changbao Qu, Jinchun Qi

Open access · diamondAbstract read
In one paragraph

Article in Translational andrology and urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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  6. Computational and mathematical methods in medicine · 2022
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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

9 authors at 2 institutions in 1 country.

Lei DuDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Xin WangDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Yuewei YinDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Yanping ZhangDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Jianghua JiaDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Baosai LuDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Wenyong XueDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Changbao QuDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Jinchun QiDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Hebei Medical University · CNSecond Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCircular RNAs (circRNAs) have received increasing attention in cancer development. However, a substantial number of circRNAs still require characterization. The purpose of this study is to uncover novel circRNAs and their molecular mechanism in bladder cancer (BCa).

methodsA combinative strategy of extensive data mining and computational biology was employed to identify BCa-related circRNAs and explore their potential mechanisms of action.

resultsThree differentially expressed circRNAs (has_circ_0023642, has_circ_0047322, has_circ_0041151) were obtained from the microarray dataset (GSE92675). Four miRNAs (miR-616, miR-515-5p, miR-647, miR-1178) with potential binding sites with these three circRNAs were identified. Pathway analysis demonstrated that all four miRNAs were closely associated with some cancer-related pathways. Survival analysis indicated that these miRNAs might potentially play a role in tumor-suppressive functions in BCa. Subsequently, 181 overlapping genes were identified from 472 up-regulated genes in BCa (TCGA database), and 10,017 predicted target genes of the four miRNAs obtained. A circRNA-miRNA-mRNA network was constructed on the identified three circRNAs, four miRNAs, and 181 overlapping genes. Besides, six hub genes (

conclusionsOur study provided significant insights into the molecular mechanisms that regulate the progression of BCa from the circRNA-miRNA-mRNA network view.

Indexed as

Bladder cancer (BCa)ceRNAcircRNAmicroarraymiRNA

Identifiers

PMID33532293
PMCPMC7844515
OpenAlexW3108613021

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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.