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Identification of Key Differentially Expressed Transcription Factors in Glioblastoma
المؤلفون المشاركون
Qin, Gang
Hu, Beiquan
Li, Xianfeng
Li, Rongjie
Meng, Youshi
Wang, Yimei
Zou, Donghua
Wei, Feng
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-15
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Glioblastoma (GBM) is the most frequent malignant brain tumor in adults.
Our study focused on uncovering differentially expressed genes (DEGs) and their methylation in order to identify novel diagnostic biomarkers and potential treatment targets.
Using GBM RNA-sequencing data from The Cancer Genome Atlas (TCGA) database, DEGs between GBM samples and paracancer tissue samples were analyzed.
Enrichment analysis for DEGs and transcription factors (TFs) was performed.
A total of 1029 upregulated genes and 1542 downregulated genes were identified, which were associated mainly with multiple tumor-related and immune-related pathways such as cell cycle, mitogen-activated protein kinase signaling pathway, leukocyte transendothelial migration, and autoimmune thyroid disease.
These DEGs were enriched for 174 TFs, and six TFs were differentially expressed and identified as key TFs in GBM: HOXA3, EN1, ZIC1, and FOXD3 were upregulated, while HLF and EGR3 were downregulated.
A total of 1978 DEGs were involved in the regulatory networks of the six key differentially expressed TFs.
High expression of EN1 was associated with shorter overall survival, while high expression of EGR3 was associated with shorter recurrence-free survival.
The six TFs were differentially methylated in GBM samples compared with paracancer tissues.
Our study identifies numerous DEGs and their associated pathways as potential contributors to GBM, particularly the TFs EN1, EGR3, HOXA3, ZIC1, FOXD3, and HLF.
The differential expression of these TFs may be unlikely driven by aberrant methylation.
These TFs may be useful as diagnostic markers and treatment targets in GBM, and EN1 and EGR3 may have predictive prognostic value.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Qin, Gang& Hu, Beiquan& Li, Xianfeng& Li, Rongjie& Meng, Youshi& Wang, Yimei…[et al.]. 2020. Identification of Key Differentially Expressed Transcription Factors in Glioblastoma. Journal of Oncology،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1189175
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Qin, Gang…[et al.]. Identification of Key Differentially Expressed Transcription Factors in Glioblastoma. Journal of Oncology No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1189175
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Qin, Gang& Hu, Beiquan& Li, Xianfeng& Li, Rongjie& Meng, Youshi& Wang, Yimei…[et al.]. Identification of Key Differentially Expressed Transcription Factors in Glioblastoma. Journal of Oncology. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1189175
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1189175
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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