Evidence map›Paper›PMID 32789639›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2021

Identification of core miRNA prognostic markers in patients with laryngeal cancer using bioinformatics analysis.

Guan-Jiang Huang, Bei-Bei Yang

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Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Guan-Jiang HuangDepartment of Otorhinolaryngology, School of Medicine, The Second Affiliated Hospital, Zhejiang University, 88 Jiefang Road, Hangzhou, Zhejiang, 310009, China.ORCID http://orcid.org/0000-0002-9477-3519
Bei-Bei YangDepartment of Otorhinolaryngology, School of Medicine, The Second Affiliated Hospital, Zhejiang University, 88 Jiefang Road, Hangzhou, Zhejiang, 310009, China. 2187006@zju.edu.cn.
Second Affiliated Hospital of Zhejiang University · CN

Funding

Department of Science and Technology of Zhejiang Province 2015C03035Ministry of Science and Technology of the People's Republic of China 2014CB541700National Natural Science Foundation of China 81172561
6 · The paper itself

Abstract

purposeLots of studies indicated that many microRNAs (miRNAs) are associated with the prognosis of patients with laryngeal cancer (LC). The objective of our study is to identify potential core miRNAs associated with the pathogenesis and prognosis of LC.

methodsUsing the Cancer Genome Atlast database, we identified 70 differentially expressed miRNAs between LC tumor specimens and non-tumor specimens. Then Cox regression analyses and the least absolute shrinkage and selection operator regression signature were performed to detect miRNA prognostic markers. A nomogram integrating miRNA prognostic markers was constructed to predict overall survival (OS) for LC patients. The potential target genes of the key miRNA were predicted by miRTarBase and miRDB databases. Subsequently, their potential functions were revealed by gene ontology annotation and kyoto encyclopedia of genes and genomes pathway enrichment analysis. Related biological pathways of the key target gene involved in LC were detected through gene set enrichment analysis (GSEA).

resultsA prognostic miRNA signature was constructed. The up-regulated miR-105-1 was related to a worse OS (p = 0.043), which suggested that miR-105-1 may likely be the key miRNA prognostic marker. Survival analyses and paired expression analyses of target genes indicated that ENDOU may be the key target gene. Finally, we conducted GSEA to elucidate the pathways enriched between low- and high-ENDOU expression datasets.

conclusionOur findings might bring some new light on the pathogenesis of LC. Then, it might facilitate doctors to predict the prognosis and improve treatment outcomes for LC patients. However, the behaviors of LC are relatively heterogeneous, and the TCGA database cannot provide detailed information about the subsites and treatment modalities of LC. Further molecular biological experiments and clinical investigations would be required to confirm this conclusion.

Indexed as

Laryngeal NeoplasmsMicroRNAsBiomarkers, TumorComputational BiologyGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorMicroRNAsMIRN105 microRNA, humanBioinformatics analysisLaryngeal cancerMarkermiRNAPrognosis

Identifiers

PMID32789639
OpenAlexW3048780776

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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.