Numerous studies have shown that aberrant microRNA (miRNA) expression is associated with the development and progression of various types of human cancer and serum miRNAs are potential biomarkers. This study examined whether some commonly deregulated miRNAs in hepatocellular carcinoma (HCC) are presented in serum of patients with HCC and can serve as diagnostic markers. Serum miRNAs (miR-21, miR-122, and miR-223) were quantified by real-time quantitative RT-PCR in 101 patients with HCC and 89 healthy controls. In addition, 48 patients with chronic type B hepatitis were also analyzed for comparison. We found that the median levels of miR-21, miR-122, and miR-223 were significantly higher in patients with HCC than those in healthy controls (P = 7.48 x 10⁻¹³, P = 6.93 x 10⁻⁹, and P = 3.90 x 10⁻¹², respectively). However, these elevated serum miRNAs were also detected in patients with chronic hepatitis (P = 2.05 x 10⁻¹², P = 4.52 x 10⁻¹⁶, and P = 1.65 x 10⁻¹¹, respectively). Moreover, serum miR-21 and miR-122 in patients with chronic hepatitis were higher than in patients with HCC (P = 3.99 x  10⁻⁴ and P = 4.97 x 10⁻⁸), although no such significant difference was found for miR-223. Receiver-operator characteristic (ROC) curve analyses suggest that these serum miRNAs may be useful markers for discriminating patients with HCC or chronic hepatitis from healthy controls, but not patients with HCC from patients with chronic hepatitis. Our results indicate that serum miR-21, miR-122 and miR-223 are elevated in patients with HCC or chronic hepatitis and these miRNAs have strong potential to serve as novel biomarkers for liver injury but not specifically for HCC.

N 6 -methyladenosine (m 6 A) modification is an important mechanism in miRNA processing and maturation, but the role of its aberrant regulation in human diseases remained unclear. Here, we demonstrate that oncogenic primary microRNA-25 (miR-25) in pancreatic duct epithelial cells can be excessively maturated by cigarette smoke condensate (CSC) via enhanced m 6 A modification that is mediated by NF-κB associated protein (NKAP). This modification is catalyzed by overexpressed methyltransferase-like 3 (METTL3) due to hypomethylation of the METTL3 promoter also caused by CSC. Mature miR-25, miR-25-3p, suppresses PH domain leucine-rich repeat protein phosphatase 2 (PHLPP2), resulting in the activation of oncogenic AKT-p70S6K signaling, which provokes malignant phenotypes of pancreatic cancer cells. High levels of miR-25-3p are detected in smokers and in pancreatic cancers tissues that are correlated with poor prognosis of pancreatic cancer patients. These results collectively indicate that cigarette smoke-induced miR-25-3p excessive maturation via m 6 A modification promotes the development and progression of pancreatic cancer.

Genome-wide association studies have identified several loci associated with pancreatic cancer risk; however, the mechanisms by which genetic factors influence the development of sporadic pancreatic cancer remain largely unknown. Here, by using genome-wide association analysis and functional characterization, we identify a long intergenic noncoding RNA (lincRNA), LINC00673, as a potential tumor suppressor whose germline variation is associated with pancreatic cancer risk. LINC00673 is able to reinforce the interaction of PTPN11 with PRPF19, an E3 ubiquitin ligase, and promote PTPN11 degradation through ubiquitination, which causes diminished SRC-ERK oncogenic signaling and enhanced activation of the STAT1-dependent antitumor response. A G>A change at rs11655237 in exon 4 of LINC00673 creates a target site for miR-1231 binding, which diminishes the effect of LINC00673 in an allele-specific manner and thus confers susceptibility to tumorigenesis. These findings shed new light on the important role of LINC00673 in maintaining cell homeostasis and how its germline variation might confer susceptibility to pancreatic cancer.

Ship activity patterns depicted by the International Comprehensive Ocean-Atmosphere Data Set (ICOADS), the Automated Mutual-Assistance Vessel Rescue System (AMVER) data set, and their combination demonstrate different spatial and statistical sampling biases. These differences could significantly affect the accuracy of ship emissions inventories and atmospheric modeling. We demonstrate (using ICOADS) a method to improve global-proxy representativeness by trimming over-reporting vessels that mitigates sampling bias, augment the sample data set, and account for ship heterogeneity. Apparent underreporting to ICOADS and AMVER by ships near coastlines, perhaps engaged in coastwise (short sea) shipping especially in Europe, indicates that bottom-up regional inventories may be more representative locally. Primarily due to the long time series available publicly for ICOADS data, the improved ICOADS data set may be the most appropriate global ship traffic proxy identified to date to be used for a top-down approach. More generally, these three spatial proxies can be used together to perform uncertainty analyses of ship air-emissions impacts on a global scale (http://coast.cms.udel.edu/GlobalShipEmissions/).