Abstract：Abstract: As a biomarker and a potential therapeutic target, competing endogenous RNAs (ceRNAs) have shown great research values and clinical application prospects in exploring the pathogenesis of tumors. Herein, the breast cancer ceRNA network was systematically analyzed. Firstly, differential RNAs were obtained by differential analysis. Secondly, the weight of the ceRNA network node was calculated by the edge clustering coefficient (ECC) and the Pearson correlation coefficient (PCC). Finally, LINC00466, CHL1-AS2 and LINC00337 were selected as biomarkers by the stepwise feature selection based on random forest (SFS-RF), and were used to identify breast cancer samples in GEO database. In addition, the biological function of this group of RNAs in breast cancer was explored by GO and KEGG pathway enrichment analysis. The results showed that this group of RNAs, used as a biomarker, has high accuracy and high efficiency in identifying breast cancer samples, and has important biological significance in the proliferation of breast cancer cells and the synthesis of genetic material.
引用本文:
朱东月, 朱 平. 加权ceRNA网络筛选乳腺癌生物标志物[J]. 生命科学研究, 2020, 24(1): 21-29.
ZHU Dong-yue, ZHU Ping. Screening of Breast Cancer Biomarkers by Weighted ceRNA Network. Life Science Research, 2020, 24(1): 21-29.
2020, Vol. 24 
