Evidence map›Paper›PMID 30539522›Full record

ArticlePathology oncology research : POR2019

Identification of Long Noncoding RNA MIR22HG as a Novel Biomarker in Thyroid Cancer.

Lu Qin, Jin-Zhu Luo, Xue-Lian Tang, Chuan-Gang Han

Abstract read
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In one paragraph

Article in Pathology oncology research : POR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

9 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

4 authors at 2 institutions in 1 country.

Lu QinDepartment of Thyroid Vascular Surgery, Jingzhou Central Hospital, The Second Clinical Medical College, Yangtze University, Jingzhou, Hubei, 430200, People's Republic of China.
Jin-Zhu LuoDepartment of Clinical Laboratory, Jingzhou Central Hospital, The Second Clinical Medical College, Yangtze University, Jingzhou, Hubei, 430200, People's Republic of China.
Xue-Lian TangDepartment of Respiratory Medicine, Jingzhou Central Hospital, The Second Clinical Medical College, Yangtze University, Jingzhou, Hubei, 430200, People's Republic of China.
Chuan-Gang HanDepartment of Anesthesiology, The First People's Hospital of Jiangxia District Wuhan City, No. 1, Zhifang Culture Avenue, Jiangxia District, Wuhan, Hubei, 430200, People's Republic of China. 34826551@qq.com.ORCID http://orcid.org/0000-0003-3489-042X
Yangtze University · CNThe First People's Hospital of Jiangxia District · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid cancer (TC) is the one of the most common endocrine malignancy. However, currently there are no specific and sensitive biomarkers for predicting the prognosis for TC. In this study, we for the first time showed MIR22HG was down-regulated in thyroid cancer by analyzing public datasets, including TCGA, GSE29265, GSE33630, and GSE55091. Furthermore, we observed the lower expression levels of MIR22HG were significantly related to higher age, lymph node metastasis status, residual tumor status, N stage, Grade, and T stage in TC. We also observed higher MIR22HG expression was associated with longer overall and disease-free survival time in TC. In order to explore the potential mechanisms of MIR22HG regulating TC progression, 4 hub gene networks regulated by MIR22HG were constructed in the present study. Bioinformatics analysis showed MIR22HG was associated with apoptotic process, regulation of transcription, mRNA splicing, regulation of cell cycle, and Hippo signaling pathway in TC. These results suggested MIR22HG could serve as a novel biomarker for thyroid cancer.

Indexed as

Biomarkers, TumorCarcinomaDatasets as TopicFemaleGene Regulatory NetworksHumansKaplan-Meier EstimateMaleMicroRNAsThyroid NeoplasmsBiomarkers, TumorMicroRNAsMIRN22 microRNA, humanBioinformatics analysisBiomarkerLong non-coding RNAMIR22HGThyroid cancer

Identifiers

PMID30539522
OpenAlexW2903921164

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.