Liu Dianming, Yu Xuexin, Wang Shuyuan, Dai Enyu, Jiang Leiming, Wang Jing, Yang Qian, Yang Feng, Zhou Shunheng, Jiang Wei
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Oncotarget. 2016 Aug 30;7(35):57228-57238. doi: 10.18632/oncotarget.11128.
Prostate cancer (PC) is one of the most common solid tumors in men. However, the molecular mechanism of PC remains unclear. Numerous studies have demonstrated that long noncoding RNA (lncRNA) can act as microRNA (miRNA) sponge, one type of competing endogenous RNAs (ceRNAs), which offers a novel viewpoint to elucidate the mechanisms of PC. Here, we proposed an integrative systems biology approach to infer the gain and loss of ceRNAs in PC. First, we re-annotated exon microarray data to obtain lncRNA expression profiles of PC. Second, by integrating mRNA and miRNA expression, as well as miRNA targets, we constructed lncRNA-miRNA-mRNA ceRNA networks in cancer and normal samples. The lncRNAs in these two ceRNA networks tended to have a longer transcript length and cover more exons than the lncRNAs not involved in ceRNA networks. Next, we further extracted the gain and loss ceRNA networks in PC. We found that the gain ceRNAs in PC participated in cell cycle, and the loss ceRNAs in PC were associated with metabolism. We also identified potential prognostic ceRNA pairs such as MALAT1-EGR2 and MEG3-AQP3. Finally, we inferred a novel mechanism of known drugs, such as cisplatin, for the treatment of PC through gain and loss ceRNA networks. The potential drugs such as 1,2,6-tri-O-galloyl-beta-D-glucopyranose (TGGP) could modulate lncRNA-mRNA competing relationships, which may uncover new strategy for treating PC. In summary, we systematically investigated the gain and loss of ceRNAs in PC, which may prove useful for identifying potential biomarkers and therapeutics for PC.
前列腺癌(PC)是男性中最常见的实体瘤之一。然而,PC的分子机制仍不清楚。大量研究表明,长链非编码RNA(lncRNA)可作为微小RNA(miRNA)海绵,即一种竞争性内源性RNA(ceRNA),这为阐明PC的机制提供了新的视角。在此,我们提出了一种综合系统生物学方法来推断PC中ceRNA的增减情况。首先,我们重新注释外显子芯片数据以获得PC的lncRNA表达谱。其次,通过整合mRNA和miRNA表达以及miRNA靶标,我们构建了癌症和正常样本中的lncRNA-miRNA-mRNA ceRNA网络。与未参与ceRNA网络的lncRNA相比,这两个ceRNA网络中的lncRNA往往具有更长的转录本长度且覆盖更多外显子。接下来,我们进一步提取了PC中的增减ceRNA网络。我们发现PC中的增加ceRNA参与细胞周期,而PC中的减少ceRNA与代谢相关。我们还鉴定了潜在的预后ceRNA对,如MALAT1-EGR2和MEG3-AQP3。最后,我们通过增减ceRNA网络推断了已知药物(如顺铂)治疗PC的新机制。潜在药物如1,2,6-三-O-没食子酰-β-D-吡喃葡萄糖(TGGP)可调节lncRNA-mRNA竞争关系,这可能揭示治疗PC的新策略。总之,我们系统地研究了PC中ceRNA的增减情况,这可能有助于识别PC的潜在生物标志物和治疗方法。