Related Experiment Video
Updated: Jan 19, 2026

Clinicopathological Analysis of miRNA Expression in Breast Cancer Tissues by Using miRNA In Situ Hybridization
Published on: June 7, 2016
Identification of novel mRNA-miRNA-lncRNA competing endogenous RNA network associated with prognosis of breast cancer
Guansheng Zhong1, Weiyang Lou2, Minya Yao1
1Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 Qingchun Road, Hangzhou, Zhejiang 310003, PR China.
Abstract:
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.
Related Concept Videos
06:01Clinicopathological Analysis of miRNA Expression in Breast Cancer Tissues by Using miRNA In Situ Hybridization
05:38RNA Extraction Assay: A Method to Extract RNA from miRNA Transfected Lung Cancer Cells
lncRNA - Long Non-coding RNAs
10:04A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes
04:33Circulating miRNA Extraction: A Method to Isolate miRNA from Plasma Samples Via Organic Extraction and Small RNA Enrichment
07:41Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

