Abstract
Numerous evidence has recently demonstrated that long non-coding RNAs (lncRNAs) play vital roles in the oncogenesis and development of a wide range of human neoplasms. Leukemia inhibitory factor receptor antisense RNA 1 (LIFR-AS1), a novel cancer-related lncRNA, has been reported to be under-expressed in breast cancer and associated with poor prognosis. However, the exact role of LIFR-AS1 in breast cancer remains largely unclear. The present study aimed to investigate the biological role of LIFR-AS1 in breast cancer and clarify the potential molecular mechanisms. In the present study, we found that LIFR-AS1 was significantly down-regulated in both tissues and cell lines. Furthermore, over-expression of LIFR-AS1 inhibited breast cancer cell proliferation, colony formation, migration and invasion, whereas knockdown of LIFR-AS1 promoted breast cancer cell proliferation, colony formation, migration and invasion. Moreover, LIFR-AS1 was observed to up-regulate suppressor of fused gene (Sufu) expression by competitively binding to miR-197-3p in breast cancer cells. Notably, miR-197-3p inhibitor reversed the promoting effects of LIFR-AS1 knockdown on breast cancer cell proliferation, colony formation, migration and invasion. Additionally, LIFR-AS1 knockdown promoted tumor growth in vivo. To sum up, our results imply the tumor-suppressing role of LIFR-AS1 in breast cancer.
Highlights
Breast cancer is one of the most common causes of cancer-associated mortality among the women worldwide [1,2]
To investigate the biological role of LIFR-AS1 in breast cancer, we initially analyzed LIFR-AS1 expression data downloaded from The Cancer Genome Atlas (TCGA) database and found that LIFR-AS1 was significantly down-regulated in cancerous tissues compared with normal breast tissues (Figure 1A)
We subsequently conducted quantitative real-time polymerase chain reaction and ISH analyses to determine the expression of LIFR-AS1 in tumorous tissues and matched non-cancerous tissues
Summary
Breast cancer is one of the most common causes of cancer-associated mortality among the women worldwide [1,2]. It is estimated that over 1 million new breast cancer cases are diagnosed and roughly 370000 patients die of breast cancer around the world annually [3,4]. In the United States, 228000 new breast cancer cases and 40000 breast cancer-related deaths were estimated to occur every year [5,6]. Distant metastasis and drug resistance may account for the majority of breast cancer-related deaths [7,8]. In spite of recent advances in the diagnosis and therapy of breast cancer, the long-term survival is still unfavorable. There is an urgent need to identify sensitive prognostic biomarkers and develop effective therapeutic strategies for breast cancer
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