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Construction and Analysis of Competing Endogenous RNA Networks for Breast Cancer Based on TCGA Dataset
المؤلفون المشاركون
Ding, Xia
Wu, Jibiao
Wang, Xue
Gao, Chundi
Feng, Fubin
Zhuang, Jing
Liu, Lijuan
Li, Huayao
Liu, Cun
Zheng, Xia
Sun, Changgang
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-07-24
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Background.
Long noncoding RNAs (lncRNAs) act as competing endogenous RNAs for microRNAs in cancer metastasis.
However, the roles of lncRNA-mediated competing endogenous RNA (ceRNA) networks for breast cancer (BC) are still unclear.
Material and Methods.
The expression profiles of mRNAs, lncRNAs, and miRNAs with BC were extracted from The Cancer Genome Atlas database.
Weighted gene coexpression network analysis was conducted to extract differentially expressed mRNAs (DEmRNAs) that might be core genes.
Through miRWalk, TargetScan, and miRDB to predict the target genes, an abnormal lncRNA-miRNA-mRNA ceRNA network with BC was constructed.
The survival possibilities of mRNAs, miRNAs, and lncRNAs for patients with BC were determined by Kaplan-Meier survival curves and Oncomine.
Results.
We identified 2134 DEmRNAs, 1059 differentially expressed lncRNAs (DElncRNAs), and 86 differentially expressed miRNAs (DEmiRNAs).
We then compose a ceRNA network for BC, including 72 DElncRNAs, 8 DEmiRNAs, and 12 DEmRNAs.
After verification, 2 lncRNAs (LINC00466, LINC00460), 1 miRNA (Hsa-mir-204), and 5 mRNAs (TGFBR2, CDH2, CHRDL1, FGF2, and CHL1) were meaningful as prognostic biomarkers for BC patients.
In the ceRNA network, we found that three axes were present in 10 RNAs related to the prognosis of BC, namely, LINC00466-Hsa-mir-204-TGFBR2, LINC00466-Hsa-mir-204-CDH2, and LINC00466-Hsa-mir-204-CHRDL1.
Conclusion.
This study highlighted lncRNA-miRNA-mRNA ceRNA related to the pathogenesis of BC, which might be used for latent diagnostic biomarkers and therapeutic targets for BC.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Xue& Gao, Chundi& Feng, Fubin& Zhuang, Jing& Liu, Lijuan& Li, Huayao…[et al.]. 2020. Construction and Analysis of Competing Endogenous RNA Networks for Breast Cancer Based on TCGA Dataset. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1133677
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Xue…[et al.]. Construction and Analysis of Competing Endogenous RNA Networks for Breast Cancer Based on TCGA Dataset. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1133677
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Xue& Gao, Chundi& Feng, Fubin& Zhuang, Jing& Liu, Lijuan& Li, Huayao…[et al.]. Construction and Analysis of Competing Endogenous RNA Networks for Breast Cancer Based on TCGA Dataset. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1133677
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1133677
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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