Ye Guomei, Guo Liqiang, Xing Yanfei, Sun Wendong, Yuan Mingzhen
Department of Urology, The Second Hospital of Shandong University, Jinan, Shandong 250033, P.R. China.
Exp Ther Med. 2019 Apr;17(4):3035-3040. doi: 10.3892/etm.2019.7277. Epub 2019 Feb 14.
Prostate cancer (PCa) is the second most frequently diagnosed male cancer, and no treatments exist for effective inhibition of metastatic spread of PCa. Long non-coding RNA (lncRNA) plays key roles in pathogenesis and development of various cancers through competing with endogenous RNAs (ceRNAs), but at present research on lncRNA functions in PCa is still very limited. Hence, this aspect was investigated using bioinformatics methods. Firstly, the functional lncRNA-mediated ceRNA network associated with PCa was constructed by the multi-step computational approach. Then the cytoscape software was used to analyze the node degree and betweenness centrality (BC) value of lncRNAs and mRNAs in the interaction. Finally, the lncRNAs were screened in the central region of the network by the node degree and BC value, and the functional enrichment of mRNAs was evaluated with the Gene Ontology (GO) database. In our results, , and are the lncRNAs which have the most nodes and higher BC values and considered as prognostic markers in PCa. GO analysis suggested that the function of screened lncRNAs was obviously focused on intracellular receptor signaling pathway, which indicated these lncRNAs might be potential biomarkers for diagnosis, evaluation and gene-targeted therapy of PCa.
前列腺癌（PCa）是男性中第二常见的诊断出的癌症，目前尚无有效抑制PCa转移扩散的治疗方法。长链非编码RNA（lncRNA）通过与内源性RNA（ceRNA）竞争，在各种癌症的发病机制和发展中发挥关键作用，但目前关于lncRNA在PCa中功能的研究仍然非常有限。因此，采用生物信息学方法对此方面进行了研究。首先，通过多步骤计算方法构建了与PCa相关的功能性lncRNA介导的ceRNA网络。然后使用Cytoscape软件分析lncRNA和mRNA在相互作用中的节点度和中介中心性（BC）值。最后，通过节点度和BC值在网络中心区域筛选lncRNA，并使用基因本体（GO）数据库评估mRNA的功能富集情况。在我们的结果中， 、 和 是具有最多节点和较高BC值的lncRNA，被认为是PCa的预后标志物。GO分析表明，筛选出的lncRNA的功能明显集中在内分泌受体信号通路，这表明这些lncRNA可能是PCa诊断、评估和基因靶向治疗的潜在生物标志物。
