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Identification of Genes Associated with the Metastasis of PheochromocytomaParaganglioma Based on Weighted Gene Coexpression Network Analysis
Joint Authors
Su, Qi-Sheng
Mo, Wuning
Ding, Qinpei
Zhang, Zunni
Yang, Zheng
Qiu, Yuling
Li, Xiaohong
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-05
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Background.
Pheochromocytoma/paraganglioma (PCPG) is a benign neuroendocrine neoplasm in most cases, but metastasis and other malignant behaviors can be observed in this tumor.
The aim of this study was to identify genes associated with the metastasis of PCPG.
Methods.
The Cancer Genome Atlas (TCGA) expression profile data and clinical information were downloaded from the cbioportal, and the weighted gene coexpression network analysis (WGCNA) was conducted.
The gene coexpression modules were extracted from the network through the WGCNA package of R software.
We further extracted metastasis-related modules of PCPG.
Enrichment analysis of Biological Process of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes was carried out for important modules, and survival analysis of hub genes in the modules was performed.
Results.
A total of 168 PCPG samples were included in this study.
The weighted gene coexpression network was constructed with 5125 genes of the top 25% variance among the 20501 genes obtained from the database.
We identified 11 coexpression modules, among which the salmon module was associated with the age of PCPG patients at diagnosis, metastasis, and malignancy of the tumors.
Conclusion.
WGCNA was performed to identify the gene coexpression modules and hub genes in the metastasis-related gene module of PCPG.
The findings in this study provide a new clue for further study of the mechanisms underlying the PCPG metastasis.
American Psychological Association (APA)
Su, Qi-Sheng& Ding, Qinpei& Zhang, Zunni& Yang, Zheng& Qiu, Yuling& Li, Xiaohong…[et al.]. 2020. Identification of Genes Associated with the Metastasis of PheochromocytomaParaganglioma Based on Weighted Gene Coexpression Network Analysis. BioMed Research International،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1133524
Modern Language Association (MLA)
Su, Qi-Sheng…[et al.]. Identification of Genes Associated with the Metastasis of PheochromocytomaParaganglioma Based on Weighted Gene Coexpression Network Analysis. BioMed Research International No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1133524
American Medical Association (AMA)
Su, Qi-Sheng& Ding, Qinpei& Zhang, Zunni& Yang, Zheng& Qiu, Yuling& Li, Xiaohong…[et al.]. Identification of Genes Associated with the Metastasis of PheochromocytomaParaganglioma Based on Weighted Gene Coexpression Network Analysis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1133524
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133524