.Purpose A lack of early diagnostic biomarkers and therapeutic targets has led to poor prognosis for gastric cancer patients. However, the analysis of cancer-associated genomic data has been shown to be effective in identifying potential markers. Recently, the long non-coding RNA LINC00365 and SCGB2A1 gene (as known as mammaglobin B) were predicted to be co-expressed in gastric cancer based on the Gene Expression Omnibus database. selleck compound However, their precise role in gastric cancer tumors is still not clear. Methods The expressions of LINC00365 and SCGB2A1 in gastric cancer tissues were investigated using qPCR and their expressions were detected in a gastric cancer tissue microarray by in situ hybridization and immunohistochemical staining. The functions of LINC00365 in BGC-823 and MGC-803 gastric cancer cells were tested using the MTT assay, flow cytometry, colony formation assay, EDU staining, immunofluorescence and luciferase assay. Results We found that LINC00365 and SCGB2A1 mRNA were both expressed at low levelric cancer treatment. © 2020 Yan et al.Purpose Gastric cancer is one of the most common cancers with high mortality. Emerging evidences show that ribosomal s6 kinase4 (RSK4) may be an anti-oncogene in several types of cancers, while its function in GC is still unclear. In the present study, we investigated the role of RSK4 in GC progression using MGC-803 and HGC-27 cell lines in vitro and in vivo. Methods The expression of RSK4 in gastric cancer cells was evaluated using RT-qPCR and Western blot analysis. We transfected cells with RSK4 siRNA to reduce the expression of RSK4 and then evaluated the effect of RSK4 on cellular function. MTT and cell cycle assays were used to study its effect on cell growth. Flow cytometry was used to evaluate cell apoptosis. Wound healing and Transwell assays were performed to investigate metastasis. Stable cell lines with or without RSK4 knockdown were constructed with lentivirus and tumor-bearing mice were used to investigate the effect of RSK4 on cancer progression. Results The results revealed that reduction of RSK4 expression inhibited cell apoptosis and promoted cell proliferation, migration, and invasion. Additionally, RSK4 knockdown promoted tumorigenesis in vivo. Conclusion Our study demonstrated that RSK4 serves as a tumor suppressor in GC. © 2020 Hu et al.Introduction Hyaluronic Acid (HA) fillers are among the most used products in cosmetic medicine. Companies offer different formulations to allow full facial treatment and/or remodeling. Gels are being studied to establish the biophysical properties behind the specific clinical use and a correlation between the gel biophysical properties and their clinical performance. Clinicians' awareness is growing about the potential benefit deriving from such biophysical characterization. Aim The Aliaxin® line of HA dermal fillers is the object of this study. The study aimed to widen the biophysical characterization of these gels by investigating a variety of properties to better support their optimal use. Further, we aimed to provide some clinical findings to gain a deeper insight into the correlation between filler features and clinical outcome. Methods The four gels of the line were investigated, for the first time, for their cohesivity and stability to Reactive Oxygen Species (ROS). Additional secondary rheological pa for a reliable prediction of gel palpability, while in vitro data on gel stability cannot be related to the duration of the observed skin improvement. The latter finding further corroborates the idea of a skin restoration process activated by the gels besides the physical volumetric action. © 2020 La Gatta et al.Introduction Surgical site infections (SSIs) are one of the most frequently reported hospital acquired infections associated with significant spread of antibiotic resistance. Purpose We aimed to evaluate a bundle-based approach in reducing SSI at acute surgical intensive care unit of the Emergency Hospital of Cairo University. Patients and Methods Our prospective study ran from March 2018 to February 2019 and used risk assessment. The study was divided into three phases. Phase I (pre-bundle phase) for 5 months; data collection, active surveillance of the SSIs, screening for OXA-48 producing Enterobacteriaceae and multidrug resistant Acinetobacter baumannii colonizers using Chrom agars were carried out. Phase II (bundle-implementation) a 6-S bundle approach included education, training and postoperative bathing with Chlorhexidine Gluconate in collaboration with the infection control team. Finally, Phase III (post-implementation) for estimation of compliance, rates of colonization, and infection. Results Phase val and acceptable compliance. © 2020 Wassef et al.Objective This study aimed to evaluate the individual and combined diagnostic values of serum alpha-fetoprotein (AFP), des-gamma-carboxyprothrombin (DCP), glypican-3 (GPC3) and golgi protein 73 (GP73) in diagnosing hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). Methods Participants from Beijing YouAn Hospital were enrolled and divided into seven groups. Serum was collected and the levels of AFP, GPC3, GP73 and DCP were simultaneously measured with a protein array. Pearson's χ2 test was applied to compare the clinicopathological characteristics. Receiver operating characteristic (ROC) curves were used to analyse the diagnostic performance of the four markers. Results As a single biomarker for differentiating HCC from all controls, AFP had a larger area under the curve (AUC) (0.798, 95% CI (0.754-0.838) than the other biomarkers, with a sensitivity of 77.3% and a specificity of 71.1%. Among the other combinations, AFP plus GPC3 and DCP (0.871, 95% CI (0.833-0.903)) was the best at differentiating HCC from all controls. In discriminating very early stage and early stage HCC from all controls, the AUC of GPC3 (0.744, 95% CI (0.690-0.793); sensitivity 62.8%; specificity 83.3%) was better than that of AFP (0.723, 95% CI (0.668-0.774); sensitivity 67.3%; specificity 71.7%). Among all biomarker combinations, the combination of AFP, GPC3 and GP73 had the largest AUC (0.843, 95% CI (0.796-0.883); sensitivity 84.1%; specificity 71.7%). AFP (AUC 0.726, 95% CI (0.662-0.784)) showed the best performance in the very early diagnosis of HBV-related HCC. Conclusion As a single biomarker, AFP has an advantage in the very early and early diagnosis of HBV-related HCC. The combination of AFP, GPC3 and GP73 is the most suitable marker for the early diagnosis of HBV-related HCC. However, AFP remains the best biomarker for the very early diagnosis of HBV-related HCC, and the adding of one or more markers does not significantly improve the diagnostic accuracy. © 2020 Wu et al.