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Integrated Transcriptomic Analysis Reveals the Molecular Mechanism of Meningiomas by Weighted Gene Coexpression Network Analysis
Joint Authors
Yang, Biao
Wei, Shuxun
Ma, Yan-Bin
Chu, Sheng-Hua
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Meningiomas are the most common primary intracranial tumor in adults.
However, to date, systemic coexpression analyses for meningiomas fail to explain its pathogenesis.
The aim of the present study was to construct coexpression modules and identify potential biomarkers associated with meningioma progression.
Weighted gene coexpression network analysis (WGCNA) was performed based on GSE43290, and module preservation was tested by GSE74385.
Functional annotations were performed to analyze biological significance.
Hub genes were selected for efficacy evaluations and correlation analyses using two independent cohorts.
A total of 14 coexpression modules were identified, and module lightcyan was significantly associated with WHO grades.
Functional enrichment analyses of module lightcyan were associated with tumor pathogenesis.
The top 10 hub genes were extracted.
Ten biomarkers, particularly AHCYL2, FGL2, and KCNMA1, were significantly related to grades and prognosis of meningioma.
These findings not only construct coexpression modules leading to the better understanding of its pathogenesis but also provide potential biomarkers that represent specific on tumor grades and identify recurrence, predicting prognosis and progression of meningiomas.
American Psychological Association (APA)
Yang, Biao& Wei, Shuxun& Ma, Yan-Bin& Chu, Sheng-Hua. 2020. Integrated Transcriptomic Analysis Reveals the Molecular Mechanism of Meningiomas by Weighted Gene Coexpression Network Analysis. BioMed Research International،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1134313
Modern Language Association (MLA)
Yang, Biao…[et al.]. Integrated Transcriptomic Analysis Reveals the Molecular Mechanism of Meningiomas by Weighted Gene Coexpression Network Analysis. BioMed Research International No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1134313
American Medical Association (AMA)
Yang, Biao& Wei, Shuxun& Ma, Yan-Bin& Chu, Sheng-Hua. Integrated Transcriptomic Analysis Reveals the Molecular Mechanism of Meningiomas by Weighted Gene Coexpression Network Analysis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1134313
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134313