Integrated Transcriptomic Analysis Reveals the Molecular Mechanism of Meningiomas by Weighted Gene Coexpression Network Analysis
المؤلفون المشاركون
Yang, Biao
Wei, Shuxun
Ma, Yan-Bin
Chu, Sheng-Hua
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-10
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1134313
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر