Interleukin-33 in human gliomas: Expression and prognostic significance

Interleukin-33 (IL-33) is a nuclear and pleiotropic cytokine with regard to its cellular sources and its actions. IL-33 is involved in the pathogenesis of brain diseases. Several factors account for the tumorigenicity of human gliomas, including cytokines and their receptors. The present study assessed the expression and prognostic significance of IL-33 in human astroglial brain tumors. Protein levels of IL-33 were determined by immunohistochemistry using a tissue microarray containing 95 human gliomas. mRNA expression data of IL-33, as well as of its receptors, IL-1 receptor-like 1 protein and IL-1 receptor accessory protein (IL1RAcP), were obtained from The Cancer Genome Atlas database. IL-33 protein was expressed heterogeneously in tumor tissue, but was, however, not detected in normal brain tissue. There was no differential IL-33 protein expression by tumor grade, while IL-33 protein expression was associated with inferior survival in patients with recurrent glioblastomas. Interrogations of the TCGA database indicated that mRNA expression of IL-33 and the IL-33 receptors was heterogeneous, and that IL-33 and IL1RAcP mRNA levels were correlated with the tumor grade. Elevated IL-33 mRNA levels were associated with the inferior survival of glioblastoma patients. Therefore, IL-33 may play an important role in the pathogenesis and prognosis of human gliomas

Die Medizin der Zukunft: Digitale Pathologie

Future Medicine: Digital Pathology Abstract. Pathology is facing a paradigm shift. Digitization enables highly efficient, networked diagnostics and the simplified exchange of expert knowledge. Algorithms for image analysis and artificial intelligence have the potential to further increase the quality of diagnostics in pathology. Structured electronic reporting enables the continuous development of digital diagnostics and improves the communication between clinical disciplines. Here we identify and discuss the main trends that will shape digital pathology. In der Pathologie steht ein Paradigmenwechsel bevor. Die Digitalisierung ermöglicht eine hocheffiziente, vernetzte Diagnostik und den vereinfachten Austausch von Expertenwissen. Algorithmen zur Bildanalyse und artifizielle Intelligenz besitzen das Potential, die Qualität der Diagnostik in der Pathologie weiter zu erhöhen. Wichtige Neuerungen ergeben sich auch in der Befunderstellung. Strukturierte Befundungssysteme ermöglichen die kontinuierliche Weiterentwicklung der digitalen Diagnostik und verbessern die Kommunikation zwischen den Spezialdisziplinen

Make EU trade with Brazil sustainable

Brazil, home to one of the planet's last great forests, is currently in trade negotiations with its second largest trading partner, the European Union (EU). We urge the EU to seize this critical opportunity to ensure that Brazil protects human rights and the environment

Analysis of Outcomes in Ischemic vs Nonischemic Cardiomyopathy in Patients With Atrial Fibrillation A Report From the GARFIELD-AF Registry

IMPORTANCE Congestive heart failure (CHF) is commonly associated with nonvalvular atrial fibrillation (AF), and their combination may affect treatment strategies and outcomes