Increasing evidence has indicated that long noncoding RNAs (lncRNAs) play crucial roles in various biological processes, including glioma. However, the underlying mechanism of lncRNAs in gliomagenesis is still ambiguous. In this study, we aim to investigate the role of long intergenic noncoding RNA 00958 (LINC00958) in the tumorigenesis of glioma. Results revealed that LINC00958 was significantly upregulated in glioma tissues and cell lines compared with that of adjacent normal brain tissues and normal human astrocytes. Moreover, the ectopic overexpression of LINC00958 was correlated with poor prognosis of glioma patients. Loss-of-function experiments indicated that LINC00958 knockdown suppressed glioma cell proliferation, invasion, and induced cycle arrest at G0/G1 phase in vitro, and inhibited tumor growth in vivo. Bioinformatics programs and luciferase reporter assay revealed that miR-203 shared complementary binding sites with both 3'-untranslated region of LINC00958 and CDK2. In summary, our study concludes that LINC00958 acts as an oncogenic gene in the gliomagenesis through miR-203-CDK2 regulation, providing a novel insight into glioma tumorigenesis.

No abstract

NF-κB interacting lncRNA (NKILA) has been found to function as a tumor-suppressive role in various human cancers. However, the role of NKILA in rectal cancer is still unknown. The objective of this study is to investigate the clinical value and biological function of NKILA in rectal cancer. The association between NKILA expression and clinical variables including prognosis was estimated in rectal cancer patients. The gain-of-function study of NKILA in rectal cancer cell was conducted to evaluate the effect of NKILA on cell proliferation, migration, invasion, and NF-κB signaling pathway. The results suggested NKILA expression was decreased in rectal cancer tissues and cells, and correlated with clinical stage, T classification, N classification and M classification. NKILA low-expression was an independent poor prognostic factor in rectal cancer patients. NKILA-inhibited rectal cancer cell proliferation, migration, and invasion via suppressing NF-κB signaling. In conclusion, NKILA serves as an antioncogenic lncRNA in rectal cancer.

No abstract

Traditional reliability models, such as fault tree analysis (FTA) and reliability block diagram (RBD), are typically constructed with reference to the function principle graph that is produced by system engineers, which requires substantial time and effort. In addition, the quality and correctness of the models depend on the ability and experience of the engineers and the models are difficult to verify. With the development of data acquisition, data mining and system modeling techniques, the operational data of a complex system considering multi-state, dependent behavior can be obtained and analyzed automatically. In this paper, we present a method that is based on the K2 algorithm for establishing a Bayesian network (BN) for estimating the reliability of a multi-state system with dependent behavior. Facilitated by BN tools, the reliability modeling and the reliability estimation can be conducted automatically. An illustrative example is used to demonstrate the performance of the method.