Evidence map›Paper›PMID 32277695›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

Bioinformatics Analysis of the Expression of Key Long Intergenic Non-Protein Coding RNA Genes in Bladder Cancer.

Yun-Zhi Lin, Yu-Peng Wu, Zhi-Bin Ke, Hai Cai, Dong-Ning Chen, Shao-Hao Chen, Xiao-Dong Li, Ting-Ting Lin, Jin-Bei Huang, Qing-Shui Zheng and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Yun-Zhi LinDepartment of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Yu-Peng WuDepartment of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Zhi-Bin KeDepartment of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Hai CaiDepartment of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Dong-Ning ChenDepartment of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Shao-Hao ChenDepartment of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Xiao-Dong LiDepartment of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Ting-Ting LinDepartment of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Jin-Bei HuangDepartment of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Qing-Shui ZhengDepartment of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Xue-Yi XueDepartment of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Ning XuDepartment of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Yong WeiDepartment of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
First Affiliated Hospital of Fujian Medical University · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Evidence indicates that there is an important role for long non-coding RNAs (lncRNA) in numerous cellular processes and that lncRNAs dysregulation contributes to tumor progression. Improved insight into the molecular characteristics of bladder cancer is required to predict outcomes and to develop a new rationale for targeted therapeutic strategies. Bioinformatics methods, including functional enrichment and network analysis combined with survival analysis, are required to process a large volume of data to obtain further information about differentially expressed genes (DEGs) in bladder cancer. This study aimed to explore the role of lncRNAs and their regulation network in bladder cancer. MATERIAL AND METHODS We analyzed bladder cancer data by The Cancer Genome Atlas profiling to identify differentially expressed lncRNAs in bladder cancer. The genes involved in the circlncRNAnet database were evaluated using Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), evolutionary relationship analysis, and protein-protein interaction (PPI) networks. RESULTS Two new lncRNAs, ADAMTS9-AS1 and LINC00460, were shown to be differentially expressed in bladder cancer. Patients were divided into 2 groups (high expression and low expression) according to their median expression values. The overall survival and disease-free survival of patients with high ADAMTS9-AS1 bladder cancer were significantly shorter; the expression of LINC00460 had no significant correlation with survival. GO and KEGG analysis of the 2 lncRNA-related genes revealed that these lncRNAs played a vital role in tumorigenesis. Bioinformatics analysis showed that key genes related to LINC00460, including CXCL, CCL, and CSF2, may be related to the development of bladder cancer. The low expression of ADAMTS9-AS1 may influence the survival rate of bladder cancer with the hub gene as a target. CONCLUSIONS LncRNA, including LINC00460 and ADAMTS9-AS1, might play a crucial role in the biosynthesis network of bladder cancer. Differential expression results of ADAMTS9-AS1 suggests it may be correlated with a worse prognosis and a shorter survival time. We outlined the biosynthesis network that regulates lncRNAs in bladder cancer. Further experimental data is needed to validate our results.

Indexed as

Biomarkers, TumorComputational BiologyGene OntologyGene Regulatory NetworksHumansPrognosisProtein Interaction MapsRNA, Long NoncodingSurvival AnalysisTranscriptomeUrinary Bladder NeoplasmsBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID32277695
PMCPMC7169439
OpenAlexW3015873274

What Socratic 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 Socratic graph.