Evidence map›Paper›PMID 30210669›Full record

ArticleAmerican journal of translational research2018

Identification of down-regulated microRNAs in thyroid cancer and their potential functions.

Denghua Pan, Peng Lin, Dongyue Wen, Yunpeng Wei, Qiuyan Mo, Liang Liang, Gang Chen, Yun He, Junqiang Chen, Hong Yang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 17 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

10 authors at 2 institutions in 1 country.

Denghua PanDepartment of Ultrasonography, First Affiliated Hospital of Guangxi Medical University 6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Peng LinDepartment of Ultrasonography, First Affiliated Hospital of Guangxi Medical University 6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Dongyue WenDepartment of Ultrasonography, First Affiliated Hospital of Guangxi Medical University 6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Yunpeng WeiDepartment of Ultrasonography, First Affiliated Hospital of Guangxi Medical University 6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Qiuyan MoDepartment of Ultrasonography, First Affiliated Hospital of Guangxi Medical University 6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Liang LiangDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University 6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Gang ChenDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University 6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Yun HeDepartment of Ultrasonography, First Affiliated Hospital of Guangxi Medical University 6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Junqiang ChenDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University 6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Hong YangDepartment of Ultrasonography, First Affiliated Hospital of Guangxi Medical University 6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mechanism of microRNAs (miRNAs) in thyroid cancer is still unclear. We identified miRNAs with differential expression in thyroid cancer versus normal tissues.

methodsMicroarray datasets were obtained from the GEO and ArrayExpress databases, and from publications found via PubMed, EMBASE, and Web of Science. Differentially expressed miRNAs were identified using the limma package, and their targets predicted using miRWalk. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interaction (PPI) network analyses were performed using these target genes to explore potential carcinogenic mechanisms. Correlations between target gene and miRNA expression levels were examined. Changes in target protein expression were confirmed using data from The Human Protein Atlas and the Cancer Genome Atlas.

resultsWe ultimately included five datasets, and further analyzed the four miRNAs that were down-regulated in at least four datasets (miR-7-2-3p, miR-138-5p, miR-144-5p, miR-486-5p). Predicted targets were enriched in GO terms including extracellular matrix organization, cell surface, and receptor binding, and in KEGG cancer pathways. PPI analysis identified 10 hub genes as key potential targets of these miRNAs. The expression levels of eight target genes were negatively correlated with those of their respective miRNAs. Furthermore, eight predicted target genes in cancer-related pathways showed up-regulated protein and mRNA expression in thyroid cancer.

conclusionLow miRNA expression in thyroid cancer might influence tumorigenesis via critical pathways. The genes identified here may act as a starting point for further investigation of the carcinogenic mechanisms of these miRNAs.

Indexed as

microarraymicroRNApathwayThyroid cancer

Identifiers

PMID30210669
PMCPMC6129536
OpenAlexW2994651264

What OpenQuestion holds

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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.