Long Non-Coding RNAs As Prognostic Markers In Human Breast Cancer

Long non-coding RNAs (lncRNAs) have been recently shown to play an important role in gene regulation and normal cellular functions, and disease processes. However, despite the overwhelming number of lncRNAs identified to date, little is known about their role in cancer for vast majority of them. The present study aims to determine whether lncRNAs can serve as prognostic markers in human breast cancer. We interrogated the breast invasive carcinoma dataset of the Cancer Genome Atlas (TCGA) at the cBioPortal consisting of ~ 1,000 cases. Among 2,730 lncRNAs analyzed, 577 lncRNAs had alterations ranging from 1% to 32% frequency, which include mutations, alterations of copy number and RNA expression. We found that deregulation of 11 lncRNAs, primarily due to copy number alteration, is associated with poor overall survival. At RNA expression level, upregulation of 4 lncRNAs (LINC00657, LINC00346, LINC00654 and HCG11) was associated with poor overall survival. A third signature consists of 9 lncRNAs (LINC00705, LINC00310, LINC00704, LINC00574, FAM74A3, UMODL1-AS1, ARRDC1-AS1, HAR1A, and LINC00323) and their upregulation can predict recurrence. Finally, we selected LINC00657 to determine their role in breast cancer, and found that LINC00657 knockout significantly suppresses tumor cell growth and proliferation, suggesting that it plays an oncogenic role. Together, these results highlight the clinical significance of lncRNAs, and thus, these lncRNAs may serve as prognostic markers for breast cancer

lncRNA RMST Enhances DNMT3 Expression through Interaction with HuR

Large bodies of studies have shown that the CRISPR/Cas9-based library screening is a very powerful tool for the identification of gene functions. However, most of these studies have focused on protein-coding genes, and, furthermore, very few studies have used gene reporters for screening. In the present study, we generated DNA methyltransferase 3B (DNMT3B) reporter and screened a CRISPR/Cas9 synergistic activation mediator (SAM) library against a focused group of lncRNAs. With this screening approach, we identified Rhabdomyosarcoma 2-Associated Transcript (RMST) as a positive regulator for DNMT3B. This was confirmed by activation of the endogenous RMST by SAM or ectopic expression of RMST. Moreover, RMST knockout (KO) suppresses DNMT3, while rescue with RMST in the KO cells restores the DNMT3 level. Finally, RMST KO suppresses global DNA methylation, leading to the upregulation of methylation-regulated genes. Mechanistically, RMST promotes the interaction between the RNA-binding protein HuR and DNMT3B 3′ UTR, increasing the DNMT3B stability. Together, these results not only provide the feasibility of a reporter system for CRISPR library screening but also demonstrate the previously uncharacterized factor RMST as an important player in the modulation of DNA methylation. Peng et al. use a key DNA methylation gene DNMT3B as a reporter to screen a CRISPR library against a focused group of long non-coding RNAs (lncRNAs), and they identify that lncRNA RMST functions as a positive regulator for DNMT3B by interaction with the mRNA-stabilizing factor HuR