A new avenue for obtaining insight into the functional characteristics of long noncoding RNAs associated with estrogen receptor signaling

Abstract

Estrogen receptor signalling plays important regulatory roles in multiple mammalian physiological processes. Dysregulation of estrogen receptor (ER) expression and/or its associated signalling pathway is strongly associated with the development, progression, transition, and endocrine-resistance of breast cancer. Non-coding transcripts are essential regulators of almost every level of gene regulation. However, few long non-coding transcripts (lncRNAs) associated with the estrogen receptor signalling pathway have been well-described. We used array-based methods to identify 33 estrogen receptor agitation-related (ERAR) lncRNAs. A coding-non-coding gene co-expression network analysis suggested that 15 ERAR lncRNAs were associated with mitosis, DNA damage, and DNA repair. Kaplan-Meier analysis indicated that five ERAR lncRNAs selected using the Random Forest-Recursive Feature Elimination algorithm were significantly correlated with endocrine resistance-free survival and distant metastasis-free survival as well as disease free survival. Our results suggest that ERAR lncRNAs may serve as novel biomarkers for guiding breast cancer treatment and prognosis. Furthermore, our findings reveal a new avenue by which estrogen receptor signalling can be further explored.