Evidence map›Paper›PMID 33193600›Full record

ArticleFrontiers in genetics2020

Integrated Analysis of lncRNA-miRNA-mRNA ceRNA Network Identified lncRNA EPB41L4A-AS1 as a Potential Biomarker in Non-small Cell Lung Cancer.

Meiqi Wang, Sihan Zheng, Xi Li, Yu Ding, Mingyan Zhang, Lin Lin, Hao Xu, Yue Cheng, Xiaonan Zhang, Hui Xu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

24 citing papers in PubMed, 32 citations in OpenAlex.

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  19. Ceramide Transfer Protein (CERT): An Overlooked Molecular Player in Cancer.International journal of molecular sciences · 2021
    Review
  20. 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 2 institutions in 1 country.

Meiqi WangDepartment of Clinical Laboratory, Harbin Medical University Cancer Hospital, Harbin, China.
Sihan ZhengDepartment of Clinical Laboratory, Harbin Medical University Cancer Hospital, Harbin, China.
Xi LiDepartment of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yu DingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Mingyan ZhangDepartment of Clinical Laboratory, Harbin Medical University Cancer Hospital, Harbin, China.
Lin LinDepartment of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Hao XuDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Yue ChengDepartment of Clinical Laboratory, Harbin Medical University Cancer Hospital, Harbin, China.
Xiaonan ZhangDepartment of Clinical Laboratory, Harbin Medical University Cancer Hospital, Harbin, China.
Hui XuDepartment of Clinical Laboratory, Harbin Medical University Cancer Hospital, Harbin, China.
Shijun LiDepartment of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Harbin Medical University · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent evidence has indicated that long non-coding RNAs (lncRNAs) can function as competing endogenous RNAs (ceRNAs) to modulate mRNAs expression by sponging microRNAs (miRNAs). However, the specific mechanism and function of lncRNA-miRNA-mRNA regulatory network in non-small cell lung cancer (NSCLC) remains unclear. MATERIALS AND

methodsWe constructed a lung cancer related lncRNA-mRNA network (LCLMN) by integrating differentially expressed genes (DEGs) with miRNA-target interactions. We further performed topological feature analysis and random walk with restart (RWR) analysis of LCLMN. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed to investigate the target DEGs in LCLMN. The expression levels of significant lncRNAs in NSCLC were validated by quantitative real-time PCR (RT-qPCR). The prognostic value of the potential lncRNA was evaluated by Kaplan-Meier analysis.

resultsA total of 33 lncRNA nodes, 580 mRNA nodes and 2105 edges were identified from LCLMN. Based on functional enrichment analysis and co-expression analysis, lncRNA EPB41L4A-AS1 was demonstrated to be correlated with the tumorigenesis of NSCLC. RT-qPCR results confirmed that the expression levels of lncRNA EPB41L4A-AS1 in NSCLC tissues were downregulated compared with adjacent non-cancerous tissues. Kaplan-Meier analysis showed that high expression of lncRNA EPB41L4A-AS1 was associated with better overall survival (OS) in NSCLC patients. Further investigation identified that high expression levels of COL4A3BP, CDS2, PURA, PDCD6IP, and TMEM245 were also correlated with better OS in NSCLC patients.

conclusionIn this study, we constructed a lncRNA-miRNA-mRNA ceRNA network to investigate potential prognostic biomarkers for NSCLC. We found that lncRNA EPB41L4A-AS1 could function as a regulator in the pathogenesis of NSCLC.

Indexed as

competing endogenous RNAsLncRNA-miRNA-mRNA regulatory networklong non-coding RNAsnon-small cell lung canceroverall survival

Identifiers

PMID33193600
PMCPMC7530329
OpenAlexW3088317301

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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.