Evidence map›Paper›PMID 33490151›Full record

ArticleAnnals of translational medicine2020

Bioinformatics analysis to determine the prognostic value and prospective pathway signaling of miR-126 in non-small cell lung cancer.

Zichen Jiao, Ao Yu, Xiaofeng He, Yulong Xuan, He Zhang, Guojun Wang, Minke Shi, Tao Wang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 25 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 3 institutions in 1 country.

Zichen JiaoDepartment of Thoracic Surgery, Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.
Ao YuDepartment of Thoracic Surgery, Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.
Xiaofeng HeDepartment of Thoracic Surgery, Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.
Yulong XuanDepartment of Thoracic Surgery, Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.
He ZhangDepartment of Thoracic Surgery, Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.
Guojun WangDepartment of Thoracic Surgery, Jintan People's Hospital, Changzhou, China.
Minke ShiDepartment of Thoracic Surgery, Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.
Tao WangDepartment of Thoracic Surgery, Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.
Nanjing Drum Tower Hospital · CNNanjing Medical University · CNJintan People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) have been demonstrated to play crucial roles in the initiation and development of non-small cell lung cancer (NSCLC). However, further investigation of the specific role of miR-126 in NSCLC is still required.

methodsAn analysis of miR-126 expression in NSCLC was carried out using the Gene Expression Omnibus (GEO) database, and a literature review was also performed. The differentially expressed genes (DEGs) in three mRNA datasets, GSE18842, GSE19804, and GSE101929, from GEO were identified. Following the prediction of hsa-miR-126-5p target genes by TargetScan, the overlap of miR-126 target genes with DEGs in NSCLC was examined. After that, Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses were performed. Finally, an analysis to identify the impact of hub genes on the prognosis of NSCLC was carried out on the basis of a protein-protein interaction (PPI) network constructed using STRING and Cytoscape.

resultsThe data in the literature review revealed a trend that miR126 was downregulated in NSCLC. The number of both NSCLC-related and miR-126-related DEGs was 187. Dozens of DEGs were significantly enriched in biological regulation, cell membrane binding, and signal receptor binding. In the PPI network analysis, 3 of 10 identified hub genes, namely

conclusionsMiR-126 plays an essential role in the biological processes of NSCLC through binding to target genes and influences the prognosis of patients with the disease.

Indexed as

differentially expressed genes (DEGs)functional factorsmiR-126Non-small cell lung cancer (NSCLC)

Identifiers

PMID33490151
PMCPMC7812220
OpenAlexW3117280978

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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.