Evidence map›Paper›PMID 32714651›Full record

ArticlePeerJ2020

Identifying hub genes of papillary thyroid carcinoma in the TCGA and GEO database using bioinformatics analysis.

Ying Wan, Xiaolian Zhang, Huilin Leng, Weihua Yin, Wenxing Zeng, Congling Zhang

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-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

16 citing papers in PubMed, 27 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

6 authors at 1 institution in 1 country.

Ying Wan *Department of Inspection, People's Hospital of Yichun City, Yichun, China.
Xiaolian Zhang *Department of Blood Transfusion, People's Hospital of Yichun City, Yichun, China.
Huilin LengDepartment of Neurology, People's Hospital of Yichun City, Yichun, China.
Weihua YinDepartment of Oncology, People's Hospital of Yichun City, Yichun, China.
Wenxing ZengDepartment of Inspection, People's Hospital of Yichun City, Yichun, China.
Congling ZhangDepartment of Inspection, People's Hospital of Yichun City, Yichun, China.
Yichun University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThyroid carcinoma (THCA) is a common endocrine malignant tumor. Papillary carcinoma with low degree of malignancy and good prognosis is the most common. It can occur at any age, but it is more common in young adults. Although the mortality rate is decreased due to early diagnosis, the survival rate varies depending on the type of tumor. Therefore, the purpose of this study is to identify hub biomarkers and novel therapeutic targets for THCA.

methodsThe GSE3467, GSE3678, GSE33630 and GSE53157 were obtained from the GEO database, including 100 thyroid tumors and 64 normal tissues to obtain the intersection of differentially expressed genes, and a protein-protein interaction network was constructed to obtain the HUB gene. The corresponding overall survival information from The Cancer Genome Atlas Project-THCA was then included in this research. The signature mechanism was studied by analyzing the gene ontology and the Kyoto Encyclopedia of Genes and Genome database.

resultsIn this research, we identified eight candidate genes (FN1, CCND1, CDH2, CXCL12, MET, IRS1, DCN and FMOD) from the network. Also, expression verification and survival analysis of these candidate genes based on the TCGA database indicate the robustness of the above results. Finally, our hospital samples validated the expression levels of these genes.

conclusionThe research identified eight mRNA (four up-regulated and four down-regulated) which serve as signatures and could be a potential prognostic marker of THCA.

Indexed as

BiomarkerGEOPrognosisSignatureTCGAThyroid carcinoma

Identifiers

PMID32714651
PMCPMC7354839
OpenAlexW3041699323

What OpenQuestion holds

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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.