CeNETs analysis reveals the prognostic value of a signature integration from five lncRNAs in breast cancer.

ABSTRACT

BACKGROUND: The competitive endogenous RNA (ceRNA) hypothesis is a novel effective theory that can enable us to deeply understand the mechanisms of comprehensive diseases. METHODS: In this study, we first downloaded RNAseq data and microRNA (miRNA) seq data of breast cancer from The Cancer Genome Atlas and further explored the regulation of ceRNA network in breast cancer using comprehensive bioinformatics tools. RESULTS: The results revealed that five miRNAs, including hsa-miR-10b, hsa-miR-21, hsa-miR-183, hsa-miR-1258, and hsa-miR-3200 formed the core of ceRNA network. Moreover, five long noncoding RNAs that could competitively bind with miR-10b, respectively, named ACTA2-AS1, RP11-384P7.7, RP11-327J17.9, RP11-124N14.3, and RP11-645C24.5, were discovered as an integration signature with great potential in the prediction of survival outcomes in patients with different stages of breast cancer. CONCLUSIONS: This indicates that these five long noncoding RNAs may be potential novel diagnostic and prognostic biomarkers of breast cancer.