Prostate cancer (PCa) is the third most common reason of cancer-related deaths in men. Accumulating evidence has shown that dysregulation of long noncoding RNAs (lncRNAs) is closely related to cancer initiation and development. Although large numbers of lncRNAs have been discovered, knowledge regarding their function and physiological/pathological significance remains limited. In this study, we aimed to reveal functional lncRNAs and identify prognosis-related RNAs in PCa by analyzing data from The Cancer Genome Atlas (TCGA). To achieve this, an lncRNA-mRNA coexpression network was constructed by weighted correlation network analysis. Additionally, a subnetwork was extracted from this weighted correlation network, and seven lncRNAs were identified as core nodes. Further Kaplan-Meier survival analysis showed that three lncRNAs (LINC00683, LINC00857, and FENDRR) were significantly downregulated in PCa samples, and there was a strong positive correlation with patient survival. Importantly, LINC00683 has not been fully reported as related with PCa. Additionally, gene set enrichment analysis indicated that LINC00683 might be involved in cancer-related pathways such as the Wnt pathway. Based on the findings of this study, lncRNA LINC00683 is likely to provide a new diagnostic biomarker and therapeutic target for future PCa treatments.
Keywords: The Cancer Genome Atlas database; long noncoding RNAs; prognosis; prostate cancer.
© 2019 Wiley Periodicals, Inc.