The long, noncoding RNA (lncRNA) is an important epigenetic regulator with a critical role in human tumors. Here, we aimed to investigate the clinical application and the potential molecular mechanisms of in gastric cancer tumorigenesis and progression. The expression level of was determined by RT-qPCR analysis in 190 pairs of gastric cancer tissues and adjacent normal gastric mucosa tissues (ANT). The biologic functions of were assessed by and functional experiments. RNA protein pull-down assays and LS/MS mass spectrometry analysis were performed to detect and identify the interacting protein FOXM1. Protein-RNA immunoprecipitation assays were conducted to examine the interaction of FOXM1 and Chromatin immunoprecipitation (ChIP) and luciferase analyses were utilized to identify the binding site of FOXM1 on the promoter. The lncRNA was significantly upregulated in gastric cancer tissues compared with ANTs. High expression of predicted poor prognosis in patients with gastric cancer. enhanced gastric cancer cell proliferation and invasion and directly bound FOXM1 protein and increased FOXM1 posttranslationally. Moreover, is also a FOXM1-responsive lncRNA, and FOXM1 directly binds to the promoter to activate its transcription. Finally, fulfilled its oncogenic functions in a FOXM1-mediated manner. Our study suggests that promotes tumor progression by interacting with FOXM1. may be a valuable prognostic predictor for gastric cancer, and the positive feedback loop of -FOXM1 could be a therapeutic target in pharmacologic strategies..

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Background: MicroRNAs are important for colorectal cancer signal transduction. Results: miR-31 stimulates colorectal cancer cell proliferation and tumorigenesis by directly targeting RASA1. Conclusion: miR-31 activates the RAS pathway and functions as an oncogenic microRNA in human colorectal cancer. Significance: Learning how miRNAs participate in tumor signaling is crucial for understanding tumor signal transduction and cancer therapy.

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The widespread distribution of cyanobacteria in the aquatic environment is increasing the risk of water pollution caused by cyanotoxins, which poses a serious threat to human health. However, the structural characterization, distribution and identification techniques of cyanotoxins have not been comprehensively reviewed in previous studies. This paper aims to elaborate the existing information systematically on the diversity of cyanotoxins to identify valuable research avenues. According to the chemical structure, cyanotoxins are mainly classified into cyclic peptides, alkaloids, lipopeptides, nonprotein amino acids and lipoglycans. In terms of global distribution, the amount of cyanotoxins are unbalanced in different areas. The diversity of cyanotoxins is more obviously found in many developed countries than that in undeveloped countries. Moreover, the threat of cyanotoxins has promoted the development of identification and detection technology. Many emerging methods have been developed to detect cyanotoxins in the environment. This communication provides a comprehensive review of the diversity of cyanotoxins, and the detection and identification technology was discussed. This detailed information will be a valuable resource for identifying the various types of cyanotoxins which threaten the environment of different areas. The ability to accurately identify specific cyanotoxins is an obvious and essential aspect of cyanobacterial research.