Abstract
Long noncoding RNAs (lncRNAs) play important roles in the regulation of gene expression by acting as competing endogenous RNAs (ceRNAs). However, the roles of lncRNA-associated ceRNAs in oncogenesis are not fully understood. The present study aims to determine whether a ceRNA network can serve as a prognostic marker in human prostate cancer (PCa). In order to identify a ceRNA network and the key lncRNAs in PCa, we constructed a differentially expressed lncRNAs (DELs)–differentially expressed miRNAs (DEMis)–differentially expressed mRNAs (DEMs) regulatory network based on the ceRNA theory using data from the Cancer Genome Atlas (TCGA). We found that the DELs–DEMis–DEMs network was composed of 27 DELs nodes, seven DEMis nodes, and three DEMs nodes. The 27 DELs were further analyzed with several public databases to provide meaningful information for understanding the functional roles of lncRNAs in regulatory networks in PCa. We selected ADAMTS9-AS1 to determine its role in PCa and found that ADAMTS9-AS1 significantly influences tumor cell growth and proliferation, suggesting that it plays a tumor suppressive role. In addition, ADAMTS9-AS1 functioned as ceRNA, effectively becoming a sponge for hsa-mir-96 and modulating the expression of PRDM16. These results suggest that ceRNAs could accelerate biomarker discovery and therapeutic strategies for PCa.
Highlights
Prostate cancer (PCa) is a common malignancy of the urinary and reproductive systems
The distribution of all the significant differentially expressed lncRNAs (DELs), differentially expressed miRNAs (DEMis), and differentially expressed mRNAs (DEMs) is shown in a volcano map in Figure 1 and a heat map is shown in Supplementary Figure S1
MEG3 inhibits the invasion of bladder cancer cells by competing with PHLPP2 to bind to miR-27a and negatively regulates c-Myc as a competing endogenous RNAs (ceRNAs) (Huang et al, 2019)
Summary
Prostate cancer (PCa) is a common malignancy of the urinary and reproductive systems. Since the late 1980s and early 1990s, the incidence and mortality of PCa have soared worldwide (Bray et al, 2013; Smith et al, 2017). In China, poor dietary habits including excessive consumption of animal fat and reduced fiber intake have led to an increasing number of PCa patients. PCa ranks 7th in incidence and 10th in mortality among malignant tumors in China (Zhang et al, 2017). Due to the lack of obvious symptoms during early-stage PCa, it is often overlooked, which results in reduced treatment success. The molecular mechanisms underlying PCa metastasis are not known and relevant targets to effectively ceRNA Network of Prostate Cancer predict PCa progression are lacking. Investigating the molecular mechanisms of PCa has gained much attention
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