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BACKGROUND Epithelial ovarian cancer (EOC) is the most common ovarian malignant cancer. Circular RNA is a type of endogenous noncoding RNA and is considered as a novel regulatory molecule in the development and progression of tumors. This study investigated the expression and functions of a circular RNA, circular-phosphoglycerate mutase 1 (circ-PGAM1), in EOC tissues and cells. METHODS The expression of circ-PGAM1 and miR-542-3p in EOC was analyzed using quantitative RT-PCR. Immunohistochemistry and western blot were performed to confirm the localization and expression of cell division cycle 5-like (CDC5L) and pseudopodium enriched atypical kinase 1 (PEAK1) in EOC tissues. Cell lines (CAOV3 and OVCAR3) overexpressing or silencingcirc-PGAM1 and miR-542-3p were established to explore the functions of circ-PGAM1 and miR-542-3p in ovarian cancer cells. Furthermore, dual-luciferase reporter assay was performed to study the interactions between circ-PGAM1 and miR-542-3p and between miR-542-3p and CDC5L. CCK-8, trangnant biological behaviors of ovarian cancer cells. Circ-PAGM1 silencing combined with miR-542-3p overexpression played the greatest anticancer role in vivo. CONCLUSION The circ-PGAM1/miR-542-3p/CDC5L/PEAK1 pathway played an important role in the progression of ovarian cancer and might be a novel therapeutic target for ovarian cancer. © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.OBJECTIVE To investigate the association between patients' preferred treatment and eventual treatment. Second, to compare patients with surgical treatment to watchful waiting in order to identify predictive factors for surgery. METHODS A single-centre retrospective study was performed between December 2015 and August 2018. Patients (≥18 years) who used a patient decision aid (PDA) for gallstones or inguinal hernia were included. After their first surgical consultation, patients received access to an online PDA. The patients' preferred treatment after the PDA was compared with their choice of eventual treatment. Multivariable regression analyses were performed for predictive factors for surgery. RESULTS In total, 567 patients with gallstones and 585 patients with an inguinal hernia were included. Of the patients with gallstones, 121 (21%) preferred watchful waiting, 367 (65%) preferred surgery, and 79 (14%) were not sure. The patients' preferred treatment was performed in 85.9%. Frequent pain attacks (OR 2.1, 95% CI 1.1-3.9, P = .020) and preference for surgery (OR 4.4, 95% CI 1.9-10.1, P = .001) independently predicted surgery. Of the patients with an inguinal hernia, 77 (13.2%) preferred watchful waiting, 452 (78.8%) preferred surgery, and 56 (9.6%) were not sure. The patients' preferred treatment was performed in 86.0%. The preference for surgery (OR 5.2, 95% CI 2.5-10.6, P less then .001) independently predicted surgery and worry about complications predicted avoidance of surgery (OR 0.5, 95% CI 0.2-1.0, P = .037). CONCLUSION This study, reflecting current clinical care, shows that patients' preferred treatment after using a PDA matches their eventual treatment choice in 86% of patients with gallstones or an inguinal hernia. https://www.selleckchem.com/products/actinomycin-d.html In these patients, symptoms and patients' preference for surgery independently predicts eventual choice of surgery. © 2020 The Authors Health Expectations published by John Wiley & Sons Ltd.BACKGROUND Approximately one-fourth of all cancer metastases are found in the brain. MRI is the primary technique for detection of brain metastasis, planning of radiotherapy, and the monitoring of treatment response. Progress in tumor treatment now requires detection of new or growing metastases at the small subcentimeter size, when these therapies are most effective. PURPOSE To develop a deep-learning-based approach for finding brain metastasis on MRI. STUDY TYPE Retrospective. SEQUENCE Axial postcontrast 3D T1 -weighted imaging. FIELD STRENGTH 1.5T and 3T. POPULATION A total of 361 scans of 121 patients were used to train and test the Faster region-based convolutional neural network (Faster R-CNN) 1565 lesions in 270 scans of 73 patients for training; 488 lesions in 91 scans of 48 patients for testing. From the 48 outputs of Faster R-CNN, 212 lesions in 46 scans of 18 patients were used for training the RUSBoost algorithm (MatLab) and 276 lesions in 45 scans of 30 patients for testing. ASSESSMENT Two radiol2. © 2020 International Society for Magnetic Resonance in Medicine.AIMS To evaluate the effects of various epiphytic microbiota from Italian ryegrass (IR), maize (MZ) and sorghum (SG) on fermentative profile and microbial community dynamics in sterile Italian ryegrass. METHODS AND RESULTS Using microbiota transplantation, the irradiated IR was treated with the following (1) sterile water (STIR); (2) epiphytic microbiota on IR (IRIR); (3) epiphytic microbiota on MZ (IRMZ); (4) epiphytic microbiota on SG (IRSG). After 60 days of ensiling, MZ and SG microbiota significantly (P less then 0.05) decreased lactic acid (LA) and acetic acid (AA) concentrations compared to IR microbiota, while SG microbiota notably (P less then 0.05) reduced the ratio of LA to AA than MZ and IR microbiota. Apparently (P less then 0.01) higher amounts of Lactobacillus genus were observed in IRIR and IRMZ groups on 60 day compared to IRSG group, and the dominant Lactococcus genus on 3 day was eventually replaced by Enterobacteriaceae and Lactobacillus in IRSG group. CONCLUSIONS Exogenous microbiota could evidently affect the fermentative profile and microbial community dynamics of Italian ryegrass silage. The numbers of Enterobacteriaceae and Lactobacillus were mainly responsible for this. SIGNIFICANCE AND IMPACT OF THE STUDY Identifying the role of microbe during ensiling is of great significance to manipulate the fermentation products and improve the preservation of silage. This article is protected by copyright. All rights reserved.The most pressing challenges for light-driven hydrogel actuators include reliance on UV light, slow response, poor mechanical properties, and limited functionalities. Now, a supramolecular design strategy is used to address these issues. Key is the use of a benzylimine-functionalized anthracene group, which red-shifts the absorption into the visible region and also stabilizes the supramolecular network through π-π interactions. Acid-ether hydrogen bonds are incorporated for energy dissipation under mechanical deformation and maintaining hydrophilicity of the network. This double-crosslinked supramolecular hydrogel developed via a simple synthesis exhibits a unique combination of high strength, rapid self-healing, and fast visible-light-driven shape morphing both in the wet and dry state. As all of the interactions are dynamic, the design enables the structures to be recycled and reprogrammed into different 3D objects. © 2020 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.
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