A four-enhancer RNA-based prognostic signature for thyroid cancer

Enhancer RNAs (eRNAs) can serve as an independent prognostic factor for poor outcomes of cancer patients. The purpose of this study was to identify a vital eRNA signature that has prognostic value for thyroid cancer based on GTEx and TCGA screening. We downloaded gene expression data and clinical data of thyroid cancer included in the GTEx and TCGA databases and conducted data consolidation. eRNA expression data were extracted, and subjected to differential analysis and cluster analysis. Univariate Cox regression was used to screen the prognostic factors of thyroid cancer. Multivariate Cox regression was applied for prognostic risk assessment model construction, with the efficacy evaluated by receiver operating characteristic (ROC) curve. Downstream regulatory genes of candidate eRNAs were determined using correlation analysis. There were 79 differentially expressed eRNAs associated with thyroid cancer. These differentially expressed eRNAs could assign all thyroid cancer samples into three molecular subtypes, which showed a strong link to lymph node metastasis (N stage) of thyroid cancer patients. Additionally, four key eRNAs AC141930.1, NBDY, MEG3 and AP002358.1 closely related to the prognosis of thyroid cancer patients. The risk model based on the four eRNAs predicted the prognosis of thyroid cancer patients effectively. TPO, MGST2, THBS2 and SLC25A47P1 were potential downstream regulators of the four eRNAs involved in the development of thyroid cancer. Collectively, our data suggest that a four-eRNA signature consisting of AC141930.1, NBDY, MEG3 and AP002358.1 can accurately predict the prognosis of thyroid cancer patients.