Evidence map›Paper›PMID 33521130›Full record

ArticleBioMed research international2021

Comprehensive Identification of Potential Crucial Genes and miRNA-mRNA Regulatory Networks in Papillary Thyroid Cancer.

Ben-Yu Nan, Guo-Feng Xiong, Zi-Rui Zhao, Xi Gu, Xin-Sheng Huang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 24 citations in OpenAlex.

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  12. Review
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  16. Sequence Requirements for miR-424-5p Regulating and Function in Cancers.International journal of molecular sciences · 2022
    Review
  17. Apolipoproteins: New players in cancers.Frontiers in pharmacology · 2022
    Review
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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

5 authors at 4 institutions in 1 country.

Ben-Yu Nan *Department of Otorhinolaryngology-Head and Neck Surgery, Zhongshan Hospital, Fudan University, Shanghai 200030, China.ORCID https://orcid.org/0000-0002-1824-8827
Guo-Feng Xiong *Department of Otolaryngology Head and Neck Surgery, Wenzhou Central Hospital, Wenzhou 325000, China.ORCID https://orcid.org/0000-0002-4145-4186
Zi-Rui Zhao *Department of Otolaryngology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China.ORCID https://orcid.org/0000-0002-0175-4010
Xi GuDepartment of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350000, China.ORCID https://orcid.org/0000-0003-0379-5921
Xin-Sheng HuangDepartment of Otorhinolaryngology-Head and Neck Surgery, Zhongshan Hospital, Fudan University, Shanghai 200030, China.ORCID https://orcid.org/0000-0003-3201-4776
Fudan University · CNFujian Medical University · CNShanghai University of Traditional Chinese Medicine · CNWenzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThyroid cancer is the most common endocrine malignancy, with a recent global increase of 20% in age-related incidence. Ultrasonography and ultrasonography-guided fine-needle aspiration biopsy (FNAB) are the most widely used diagnostic tests for thyroid nodules; however, it is estimated that up to 25% of thyroid biopsies are cytologically inconclusive. Molecular markers can help guide patient-oriented and targeted treatment of thyroid nodules and thyroid cancer.

methodsDatasets related to papillary thyroid cancer (PTC) or thyroid carcinoma (GSE129562, GSE3678, GSE54958, GSE138042, and GSE124653) were downloaded from the GEO database and analysed using the Limma package of R software. For functional enrichment analysis, the Kyoto Encyclopedia of Genes and Genomes pathway analysis and Gene Ontology were applied to differentially expressed genes (DEGs) using the Metascape website. A protein-protein interaction (PPI) network was built from the STRING database. Gene expression, protein expression, immunohistochemistry, and potential functional gene survival were analysed using the GEPIA website, the Human Protein Atlas website, and the UALCAN website. Potential target miRNAs were predicted using the miRDB and Starbase datasets.

resultsWe found 219 upregulated and 310 downregulated DEGs, with a cut-off of

conclusions

Indexed as

Gene Regulatory NetworksApolipoproteins EBiopsyBiopsy, Fine-NeedleCluster AnalysisClusterinGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicroRNAsOligonucleotide Array Sequence AnalysisProtein Interaction MappingRNA, MessengerThyroid Cancer, PapillaryThyroid GlandThyroid NeoplasmsApoE protein, humanApolipoproteins ECLU protein, humanClusterinMicroRNAsMIRN424 microrna, humanRNA, Messenger

Identifiers

PMID33521130
PMCPMC7817291
OpenAlexW3118842452

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.