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In Silico Analysis Identifies Differently Expressed lncRNAs as Novel Biomarkers for the Prognosis of Thyroid Cancer
المؤلفون المشاركون
Rao, Yuansheng
Liu, Haiying
Yan, Xiaojuan
Wang, Jianhong
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-04-23
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Background.
Thyroid cancer (TC) is one of the most common type of endocrine tumors.
Long noncoding RNAs had been demonstrated to play key roles in TC.
Material and Methods.
The lncRNA expression data were downloaded from Co-lncRNA database.
The raw data was normalized using the limma package in R software version 3.3.0.
The differentially expressed mRNA and lncRNAs were identified by the linear models for the microarray analysis (Limma) method.
The DEGs were obtained with thresholds of ∣logFC∣>1.5 and P<0.001.
The hierarchical cluster analysis of differentially expressed mRNAs and lncRNAs was performed using CLUSTER 3.0, and the hierarchical clustering heat map was visualized by Tree View.
Results.
In the present study, we identified 6 upregulated and 85 downregulated lncRNAs in TC samples.
Moreover, we for the first time identified 16 downregulated lncRNAs was correlated to longer disease-free survival time in patients with TC, including ATP1A1-AS1, CATIP-AS1, FAM13A-AS1, LINC00641, LINC00924, MIR22HG, NDUFA6-AS1, RP11-175K6.1, RP11-727A23.5, RP11-774O3.3, RP13-895J2.2, SDCBP2-AS1, SLC26A4-AS1, SNHG15, SRP14-AS1, and ZNF674-AS1.
Conclusions.
Bioinformatics analysis revealed these lncRNAs were involved in regulating the RNA metabolic process, cell migration, organelle assembly, tRNA modification, and hormone levels.
This study will provide useful information to explore the potential candidate biomarkers for diagnosis, prognosis, and drug targets for TC.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Rao, Yuansheng& Liu, Haiying& Yan, Xiaojuan& Wang, Jianhong. 2020. In Silico Analysis Identifies Differently Expressed lncRNAs as Novel Biomarkers for the Prognosis of Thyroid Cancer. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139406
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Rao, Yuansheng…[et al.]. In Silico Analysis Identifies Differently Expressed lncRNAs as Novel Biomarkers for the Prognosis of Thyroid Cancer. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1139406
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Rao, Yuansheng& Liu, Haiying& Yan, Xiaojuan& Wang, Jianhong. In Silico Analysis Identifies Differently Expressed lncRNAs as Novel Biomarkers for the Prognosis of Thyroid Cancer. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139406
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139406
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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