Identification of Potential Prognostic Biomarkers for Breast Cancer Based on lncRNA-TF-Associated ceRNA Network and Functional Module
المؤلفون المشاركون
Li, Xinrong
Zhu, Junquan
Qiu, Jian
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-07-29
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Breast cancer leads to most of cancer deaths among women worldwide.
Systematically analyzing the competing endogenous RNA (ceRNA) network and their functional modules may provide valuable insight into the pathogenesis of breast cancer.
In this study, we constructed a lncRNA-TF-associated ceRNA network via combining all the significant lncRNA-TF ceRNA pairs and TF-TF PPI pairs.
We computed important topological features of the network, such as degree and average path length.
Hub nodes in the lncRNA-TF-associated ceRNA network were extracted to detect differential expression in different subtypes and tumor stages of breast cancer.
MCODE was used for identifying the closely connected modules from the ceRNA network.
Survival analysis was further used for evaluating whether the modules had prognosis effects on breast cancer.
TF motif searching analysis was performed for investigating the binding potentials between lncRNAs and TFs.
As a result, a lncRNA-TF-associated ceRNA network in breast cancer was constructed, which had a scale-free property.
Hub nodes such as MDM4, ZNF410, AC0842-19, and CTB-89H12 were differentially expressed between cancer and normal sample in different subtypes and tumor stages.
Two closely connected modules were identified to significantly classify patients into a low-risk group and high-risk group with different clinical outcomes.
TF motif searching analysis suggested that TFs, such as NFAT5, might bind to the promoter and enhancer regions of hub lncRNAs and function in breast cancer biology.
The results demonstrated that the synergistic, competitive lncRNA-TF ceRNA network and their functional modules played important roles in the biological processes and molecular functions of breast cancer.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Xinrong& Zhu, Junquan& Qiu, Jian. 2020. Identification of Potential Prognostic Biomarkers for Breast Cancer Based on lncRNA-TF-Associated ceRNA Network and Functional Module. BioMed Research International،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1134611
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Xinrong…[et al.]. Identification of Potential Prognostic Biomarkers for Breast Cancer Based on lncRNA-TF-Associated ceRNA Network and Functional Module. BioMed Research International No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1134611
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Xinrong& Zhu, Junquan& Qiu, Jian. Identification of Potential Prognostic Biomarkers for Breast Cancer Based on lncRNA-TF-Associated ceRNA Network and Functional Module. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1134611
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1134611
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