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CCNB2, TOP2A, and ASPM Reflect the Prognosis of Hepatocellular Carcinoma, as Determined by Weighted Gene Coexpression Network Analysis
المؤلفون المشاركون
Zeng, Yuping
He, He
Zhang, Yu
Wang, Xia
Yang, Lidan
An, Zhenmei
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-24
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Background.
Hepatocellular carcinoma (HCC) is characterized by increased mortality and poor prognosis.
We aimed to identify potential prognostic markers by weighted gene coexpression network analysis (WGCNA), to assist clinical outcome prediction and improve treatment decisions for HCC patients.
Methods.
Prognosis-related gene modules were first established by WGCNA.
Venn diagrams obtained intersection genes of module genes and differentially expressed genes.
The Kaplan-Meier overall survival curves and disease-free survival curves of intersection genes were further analyzed on the Gene Expression Profiling Interactive Analysis website.
Chi-square tests were performed to explore the associations between prognostic gene expressions and clinicopathological features.
Results.
CCNB2, TOP2A, and ASPM were identified as both prognosis-related genes and differentially expressed genes.
TOP2A (HR: 1.7, P=0.003) and ASPM (HR: 1.8, P<0.001) exhibited a significant difference between the high- and low-expression groups in the overall survival analysis, while CCNB2 (HR: 1.4, P=0.052) was not statistically significant.
CCNB2 (HR: 1.5, P=0.006), TOP2A (HR: 1.7, P<0.001), and ASPM (HR: 1.6, P=0.003) were all statistically significant in the disease-free survival analysis.
All three genes were significantly associated with race and fetoprotein values (P<0.05).
CCNB2 expression was associated with tumor stage (P=0.01), and ASPM expression was associated with new tumor events (P=0.03).
Conclusion.
Overexpression of CCNB2, TOP2A, and ASPM are associated with poor prognosis, and these genes could serve as potential prognostic markers and therapeutic targets for HCC.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zeng, Yuping& He, He& Zhang, Yu& Wang, Xia& Yang, Lidan& An, Zhenmei. 2020. CCNB2, TOP2A, and ASPM Reflect the Prognosis of Hepatocellular Carcinoma, as Determined by Weighted Gene Coexpression Network Analysis. BioMed Research International،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1134030
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zeng, Yuping…[et al.]. CCNB2, TOP2A, and ASPM Reflect the Prognosis of Hepatocellular Carcinoma, as Determined by Weighted Gene Coexpression Network Analysis. BioMed Research International No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1134030
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zeng, Yuping& He, He& Zhang, Yu& Wang, Xia& Yang, Lidan& An, Zhenmei. CCNB2, TOP2A, and ASPM Reflect the Prognosis of Hepatocellular Carcinoma, as Determined by Weighted Gene Coexpression Network Analysis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1134030
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1134030
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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