scholarly journals Comprehensive analysis of the lncRNA‑associated competing endogenous RNA network in breast cancer

2019 ◽  
Author(s):  
Jing‑Jing Wang ◽  
Yue‑Qing Huang ◽  
Wei Song ◽  
Yi‑Fan Li ◽  
Han Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Comprehensive Analysis ◽  
Competing Endogenous Rna ◽  
Competing Endogenous Rna Network

scholarly journals Analysis of circular RNA‑associated competing endogenous RNA network in breast cancer

2020 ◽  
Author(s):  
Xuekang Wang ◽  
Yanhan Dong ◽  
Qiong Wu ◽  
Tong Lu ◽  
Yuanyong Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Circular Rna ◽  
Competing Endogenous Rna ◽  
Competing Endogenous Rna Network

Identification of novel mRNA-miRNA-lncRNA competing endogenous RNA network associated with prognosis of breast cancer

Epigenomics ◽  
2019 ◽  
Vol 11 (13) ◽  
pp. 1501-1518 ◽  
Author(s):  
Guansheng Zhong ◽  
Weiyang Lou ◽  
Minya Yao ◽  
Chengyong Du ◽  
Haiyan Wei ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Competing Endogenous Rna ◽  
Hub Genes ◽  
Cerna Network ◽  
Competing Endogenous Rna Network ◽  
Cancer Genome Atlas ◽  
Genome Atlas

Aim: To identify novel competing endogenous RNA (ceRNA) network related to patients prognosis in breast cancer. Materials & methods: Dysregulated mRNA based on intersection of three Gene Expression Omnibus and The Cancer Genome Atlas datasets were analyzed by bioinformatics. Results: In total 72 upregulated and 208 downregulated genes were identified. Functional analysis showed that some pathways related to cancer were significantly enriched. By means of stepwise reverse prediction and validation from mRNA to lncRNA, 19 hub genes, nine key miRNA and four key lncRNAs were identified by expression and survival analysis. Ultimately, the coexpression analysis identified RRM2-let-7a-5p- SNHG16/ MAL2 as key ceRNA subnetwork associated with prognosis of breast cancer. Conclusion: We successfully constructed a novel ceRNA network, among which each component was significantly associated with breast cancer prognosis.

scholarly journals Competing endogenous RNA network analysis identifies critical genes among the different breast cancer subtypes

Oncotarget ◽  
2016 ◽  
Vol 8 (6) ◽  
pp. 10171-10184 ◽  
Author(s):  
Juan Chen ◽  
Juan Xu ◽  
Yongsheng Li ◽  
Jinwen Zhang ◽  
Hong Chen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Network Analysis ◽  
Breast Cancer Subtypes ◽  
Competing Endogenous Rna ◽  
Cancer Subtypes ◽  
Competing Endogenous Rna Network
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