Evidence map›Paper›PMID 32863767›Full record

ArticleCancer cell international2020

Comprehensive analysis of key genes associated with ceRNA networks in nasopharyngeal carcinoma based on bioinformatics analysis.

Yuanji Xu, Xinyi Huang, Wangzhong Ye, Yangfan Zhang, Changkun Li, Penggang Bai, Zhizhong Lin, Chuanben Chen

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-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

12 citing papers in PubMed, 34 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

8 authors at 2 institutions in 1 country.

Yuanji Xu *Department of Radiation Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014 Fujian People's Republic of China.
Xinyi Huang *Department of Radiation Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014 Fujian People's Republic of China.
Wangzhong YeDepartment of Radiation Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014 Fujian People's Republic of China.
Yangfan ZhangFujian Normal University, Fuzhou, Fujian People's Republic of China.
Changkun LiFujian Normal University, Fuzhou, Fujian People's Republic of China.
Penggang BaiDepartment of Radiation Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014 Fujian People's Republic of China.
Zhizhong LinDepartment of Radiation Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014 Fujian People's Republic of China.
Chuanben ChenDepartment of Radiation Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014 Fujian People's Republic of China.ORCID 0000-0001-6959-3113
Fujian Medical University · CNFujian Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNasopharyngeal carcinoma (NPC) is an epithelial malignancy with high morbidity rates in the east and southeast Asia. The molecular mechanisms of NPC remain largely unknown. We explored the pathogenesis, potential biomarkers, and prognostic indicators of NPC.

methodsWe analyzed mRNAs, long non-coding RNAs (lncRNAs), and microRNAs (miRNAs) in the whole transcriptome sequencing dataset of our hospital (five normal tissues vs. five NPC tissues) and six microarray datasets (62 normal tissues vs. 334 NPC tissues) downloaded from the Gene Expression Omnibus (GSE12452, GSE13597, GSE95166, GSE126683, and GSE70970, GSE43039). Differential expression analyses, gene ontology (GO) enrichment, kyoto encyclopedia of genes and genomes (KEGG) analysis, and gene set enrichment analysis (GSEA) were conducted. The lncRNA-miRNA-mRNA competing endogenous RNA (ceRNA) networks were constructed using the miRanda and TargetScan database, and a protein-protein interaction (PPI) network of differentially expressed genes (DEGs) was built using Search Tool for the Retrieval of Interacting Genes (STRING) software. Hub genes were identified using Molecular Complex Detection (MCODE), NetworkAnalyzer, and CytoHubba.

resultsWe identified 61 mRNAs, 14miRNAs, and 10 lncRNAs as shared DEGs related to NPC in seven datasets. Changes in NPC were enriched in the chromosomal region, sister chromatid segregation, and nuclear chromosome segregation. GSEA indicated that the mitogen-activated protein kinase (MAPK) pathway, phosphatidylinositol-3 OH kinase/protein kinase B (PI3K-Akt) pathway, apoptotic pathway, and tumor necrosis factor (TNF) were involved in the initiation and development of NPC. Finally, 20 hub genes were screened out via the PPI network.

conclusionsSeveral DEGs and their biological processes, pathways, and interrelations were found in our current study by bioinformatics analyses. Our findings may offer insights into the biological mechanisms underlying NPC and identify potential therapeutic targets for NPC.

Indexed as

Bioinformatics analysisCompeting endogenous RNA (ceRNA) networkDifferentially expressed genes (DEGs)Gene Expression Omnibus (GEO)Gene ontology (GO)Nasopharyngeal carcinoma (NPC)

Identifiers

PMID32863767
PMCPMC7448472
OpenAlexW3080656029

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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.