Evidence map›Paper›PMID 33653335›Full record

ArticleBMC medical genomics2021

Integrated analysis of lncRNA-miRNA-mRNA ceRNA network and the potential prognosis indicators in sarcomas.

Lu Gao, Yu Zhao, Xuelei Ma, Ling Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 42 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

4 authors at 2 institutions in 1 country.

Lu Gao *College of Medicine, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Yu Zhao *Department of Oncology, The General Hospital of Western Theater Command, Chengdu, 610083, Sichuan, China.
Xuelei MaDepartment of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, 610041, Sichuan, China.
Ling ZhangDepartment of Oncology, The General Hospital of Western Theater Command, Chengdu, 610083, Sichuan, China. zhangling1718@126.com.
Sichuan University · CNSouthwest Jiaotong University · CN

Funding

Department of Science and Technology of Sichuan Province 2018JY0165
6 · The paper itself

Abstract

backgroundCompetitive endogenous RNA (ceRNA) networks have revealed a new mechanism of interaction between RNAs, and play crucial roles in multiple biological processes and development of neoplasms. They might serve as diagnostic and prognosis markers as well as therapeutic targets.

methodsIn this work, we identified differentially expressed mRNAs (DEGs), lncRNAs (DELs) and miRNAs (DEMs) in sarcomas by comparing the gene expression profiles between sarcoma and normal muscle samples in Gene Expression Omnibus (GEO) datasets. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were applied to investigate the primary functions of the overlapped DEGs. Then, lncRNA-miRNA and miRNA-mRNA interactions were predicted, and the ceRNA regulatory network was constructed using Cytoscape software. In addition, the protein-protein interaction (PPI) network and survival analysis were performed.

resultsA total of 1296 DEGs were identified in sarcoma samples by combining the GO and KEGG enrichment analyses, 338 DELs were discovered after the probes were reannotated, and 36 DEMs were ascertained through intersecting two different expression miRNAs sets. Further, through target gene prediction, a lncRNA-miRNA-mRNA ceRNA network that contained 113 mRNAs, 69 lncRNAs and 29 miRNAs was constructed. The PPI network identified the six most significant hub proteins. Survival analysis revealed that seven mRNAs, four miRNAs and one lncRNA were associated with overall survival of sarcoma patients.

conclusionsOverall, we constructed a ceRNA network in sarcomas, which might provide insights for further research on the molecular mechanism and potential prognosis biomarkers.

Indexed as

Gene Regulatory NetworksMicroRNAsRNA, Long NoncodingRNA, MessengerSarcomaBiomarkers, TumorComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHumansPrognosisProtein Interaction MapsRNA, Competitive EndogenousBiomarkers, TumorMicroRNAsRNA, Competitive EndogenousRNA, Long NoncodingRNA, MessengerCeRNA networkOverall survivalPrognosis indicatorsSarcomas

Identifiers

PMID33653335
PMCPMC7927383
OpenAlexW3114632245

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.