Evidence map›Paper›PMID 34908870›Full record

ArticleInternational journal of general medicine2021

Potential Novel Modules and Hub Genes as Prognostic Candidates of Thyroid Cancer by Weighted Gene Co-Expression Network Analysis.

Zhiqiang Shi, Xinghui Li, Long Zhang, Yilang Luo, Bikal Shrestha, Xuegang Hu

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Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Zhiqiang ShiDepartment of Stomatology, University of Chinese Academy of Sciences - Shenzhen Hospital, Shenzhen, Guangdong, 518107, People's Republic of China.
Xinghui LiDepartment of Dermatology, University of Chinese Academy of Sciences - Shenzhen Hospital, Shenzhen, Guangdong, 518107, People's Republic of China.
Long ZhangDepartment of Stomatology, University of Chinese Academy of Sciences - Shenzhen Hospital, Shenzhen, Guangdong, 518107, People's Republic of China.
Yilang LuoDepartment of Stomatology, University of Chinese Academy of Sciences - Shenzhen Hospital, Shenzhen, Guangdong, 518107, People's Republic of China.
Bikal ShresthaDepartment of Conservative and Endodontics, Nepal Police Hospital, Kathmandu, 44600, Nepal.
Xuegang HuDepartment of Stomatology, University of Chinese Academy of Sciences - Shenzhen Hospital, Shenzhen, Guangdong, 518107, People's Republic of China.ORCID 0000-0002-2260-8290

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough thyroid cancer (THCA) is one of the most common type of endocrine malignancy, its highly complex molecular mechanisms of carcinogenesis are not completely known. MATERIALS AND

methodsIn this study, weighted gene co-expression network analysis (WGCNA) was utilized to construct gene co-expression networks and evaluate the relations between modules and clinical traits to identify potential prognostic biomarkers for THCA patients. RNA-seq data and clinical data were downloaded from The Cancer Genome Atlas (TCGA). Other independent datasets from the Gene Expression Omnibus (GEO) database and the Human Protein Atlas database were performed to validate findings.

resultsFinally, 11 co-expression modules were constructed and four hub genes, CCDC146, SLC4A4, TDRD9 and MUM1L1, were identified and validated statistically, which were considerably interrelated to worse survival of THCA patients.

conclusionThis research study revealed four hub genes may be considered candidate prognostic biomarkers and potential therapeutic targets for THCA patients in the future.

Indexed as

hub geneprognosisTHCAthyroid cancerweighted gene co-expression network analysisWGCNA

Identifiers

PMID34908870
PMCPMC8665846

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