The United States COVID-19 Forecast Hub dataset

Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages

PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models

Patient-derived tumor xenograft (PDX) mouse models have emerged as an important oncology research platform to study tumor evolution, mechanisms of drug response and resistance, and tailoring chemotherapeutic approaches for individual patients. The lack of robust standards for reporting on PDX models has hampered the ability of researchers to find relevant PDX models and associated data. Here we present the PDX models minimal information standard (PDX-MI) for reporting on the generation, quality assurance, and use of PDX models. PDX-MI defines the minimal information for describing the clinical attributes of a patient's tumor, the processes of implantation and passaging of tumors in a host mouse strain, quality assurance methods, and the use of PDX models in cancer research. Adherence to PDX-MI standards will facilitate accurate search results for oncology models and their associated data across distributed repository databases and promote reproducibility in research studies using these models. Cancer Res; 77(21); e62-66. ©2017 AAC

Platelet GPIbα is a mediator and potential interventional target for NASH and subsequent liver cancer

Non-alcoholic fatty liver disease ranges from steatosis to non-alcoholic steatohepatitis (NASH), potentially progressing to cirrhosis and hepatocellular carcinoma (HCC). Here, we show that platelet number, platelet activation and platelet aggregation are increased in NASH but not in steatosis or insulin resistance. Antiplatelet therapy (APT; aspirin/clopidogrel, ticagrelor) but not nonsteroidal anti-inflammatory drug (NSAID) treatment with sulindac prevented NASH and subsequent HCC development. Intravital microscopy showed that liver colonization by platelets depended primarily on Kupffer cells at early and late stages of NASH, involving hyaluronan-CD44 binding. APT reduced intrahepatic platelet accumulation and the frequency of platelet-immune cell interaction, thereby limiting hepatic immune cell trafficking. Consequently, intrahepatic cytokine and chemokine release, macrovesicular steatosis and liver damage were attenuated. Platelet cargo, platelet adhesion and platelet activation but not platelet aggregation were identified as pivotal for NASH and subsequent hepatocarcinogenesis. In particular, platelet-derived GPIbα proved critical for development of NASH and subsequent HCC, independent of its reported cognate ligands vWF, P-selectin or Mac-1, offering a potential target against NASH.We thank D. Heide, J. Hetzer, R. Hillermann, C. Gropp, F. Muller, S. Prokosch, D. Kull, R. Dunkl, O. Seelbach, M. Bawohl, R. Maire, M. Bieri, C. Mittmann, H. HoncharovaBiletska, A. Fitsche, A. Adili, P. Munzer, T. Nussbaumer, F. Prutek, G. Dharmalingam and I. Singh for excellent technical assistance. We thank K. Nikolaou for the help with the human cohort recruitment and analysis. M. Malehmir was partially supported by grants from the University Zurich (Zurich Integrative Human Physiology (ZHIP) Sprint Fellowship) and from the Hartmann Muller Stiftung, Zurich. A.W. was supported by a grant from the Swiss National Science Foundation (320030_182764/1). M. Heikenwaelder was supported by an ERC Consolidator grant (HepatoMetaboPath), an EOS grant, SFBTR 209, SFBTR179, Research Foundation Flanders (FWO) under grant 30826052 (EOS Convention MODEL-IDI), Deutsche Krebshilfe projects 70113166 and 70113167, and the Helmholtz-Gemeinschaft, Zukunftsthema 'Immunology and Inflammation' (ZT-0027). This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement 667273 and the DFG (SFB/TR 240 (project 374031971) to B.N. and D. S.), ERC Consolidator grant 'CholangioConcept' (to L.Z.), and the German Research Foundation (DFG): grants FOR2314, SFB685 and the Gottfried Wilhelm Leibniz Program (to L.Z.). Further funding was provided by the German Ministry for Education and Research (BMBF) (eMed/Multiscale HCC), the German Universities Excellence Initiative (third funding line: 'future concept'), the German Center for Translational Cancer Research (DKTK) and the German-Israeli Cooperation in Cancer Research (DKFZ-MOST) (to L.Z. and M. Heikenwaelder). D. I. was supported by an EMBO Long-term Fellowship. J.M.L. is supported by Asociacion Espanola Contra el Cancer (Accelerator award: HUNTER), Spanish National Health Institute (SAF2013-41027), Generalitat de Catalunya (SGR 1162 and AGAUR, SGR-1358), the Samuel Waxman Cancer Research Foundation, the US Department of Defense (CA150272P3), the European Commission Horizon 2020 Program (HEPCAR, proposal number 667273-2), and the National Cancer Institute (P30 CA196521). D. A. M. is supported by CRUK grant C18342/A23390 and MRC grant MR/K001949/1. M. P. is supported by the German Research Foundation (DFG). M. G., T. G. and D. R. was supported by grants from the German Research Foundation (KFO274 and SFB/TR240 (project 374031971)). D. J. W. received a Wellcome Trust Strategic Award (098565/Z/12/Z) and funding from the Medical Research Council (MC-A654-5QB40). C.L.W. was funded by CRUK project Cancer Research UK Programme Grant C18342/A23390. H. G. A. has been supported by the Deutsche Forschungsgemeinschaft (SFB-TR209 'Liver Cancer').S

The management of acute venous thromboembolism in clinical practice - study rationale and protocol of the European PREFER in VTE Registry

Background: Venous thromboembolism (VTE) is a major health problem, with over one million events every year in Europe. However, there is a paucity of data on the current management in real life, including factors influencing treatment pathways, patient satisfaction, quality of life (QoL), and utilization of health care resources and the corresponding costs. The PREFER in VTE registry has been designed to address this and to understand medical care and needs as well as potential gaps for improvement. Methods/design: The PREFER in VTE registry was a prospective, observational, multicenter study conducted in seven European countries including Austria, France Germany, Italy, Spain, Switzerland, and the UK to assess the characteristics and the management of patients with VTE, the use of health care resources, and to provide data to estimate the costs for 12 months treatment following a first-time and/or recurrent VTE diagnosed in hospitals or specialized or primary care centers. In addition, existing anticoagulant treatment patterns, patient pathways, clinical outcomes, treatment satisfaction, and health related QoL were documented. The centers were chosen to reflect the care environment in which patients with VTE are managed in each of the participating countries. Patients were eligible to be enrolled into the registry if they were at least 18 years old, had a symptomatic, objectively confirmed first time or recurrent acute VTE defined as either distal or proximal deep vein thrombosis, pulmonary embolism or both. After the baseline visit at the time of the acute VTE event, further follow-up documentations occurred at 1, 3, 6 and 12 months. Follow-up data was collected by either routinely scheduled visits or by telephone calls. Results: Overall, 381 centers participated, which enrolled 3,545 patients during an observational period of 1 year. Conclusion: The PREFER in VTE registry will provide valuable insights into the characteristics of patients with VTE and their acute and mid-term management, as well as into drug utilization and the use of health care resources in acute first-time and/or recurrent VTE across Europe in clinical practice. Trial registration: Registered in DRKS register, ID number: DRKS0000479