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Institution

University of Zurich

EducationZurich, Switzerland
About: University of Zurich is a education organization based out in Zurich, Switzerland. It is known for research contribution in the topics: Population & Medicine. The organization has 50842 authors who have published 124042 publications receiving 5304521 citations. The organization is also known as: UZH & Uni Zurich.


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Journal ArticleDOI
TL;DR: In patients with early-stage breast cancer, irradiation of the regional nodes had a marginal effect on overall survival, disease-free survival and distant disease- free survival were improved, and breast-cancer mortality was reduced.
Abstract: BACKGROUND The effect of internal mammary and medial supraclavicular lymph-node irradiation (regional nodal irradiation) added to whole-breast or thoracic-wall irradiation after surgery on survival among women with early-stage breast cancer is unknown. METHODS We randomly assigned women who had a centrally or medially located primary tumor, irrespective of axillary involvement, or an externally located tumor with axillary involvement to undergo either whole-breast or thoracic-wall irradiation in addition to regional nodal irradiation (nodal-irradiation group) or whole-breast or thoracic-wall irradiation alone (control group). The primary end point was overall survival. Secondary end points were the rates of disease-free survival, survival free from distant disease, and death from breast cancer. RESULTS Between 1996 and 2004, a total of 4004 patients underwent randomization. The majority of patients (76.1%) underwent breast-conserving surgery. After mastectomy, 73.4% of the patients in both groups underwent chest-wall irradiation. Nearly all patients with node-positive disease (99.0%) and 66.3% of patients with node-negative disease received adjuvant systemic treatment. At a median follow-up of 10.9 years, 811 patients had died. At 10 years, overall survival was 82.3% in the nodal-irradiation group and 80.7% in the control group (hazard ratio for death with nodal irradiation, 0.87; 95% confidence interval [CI], 0.76 to 1.00; P = 0.06). The rate of disease-free survival was 72.1% in the nodal-irradiation group and 69.1% in the control group (hazard ratio for disease progression or death, 0.89; 95% CI, 0.80 to 1.00; P = 0.04), the rate of distant disease-free survival was 78.0% versus 75.0% (hazard ratio, 0.86; 95% CI, 0.76 to 0.98; P = 0.02), and breast-cancer mortality was 12.5% versus 14.4% (hazard ratio, 0.82; 95% CI, 0.70 to 0.97; P = 0.02). Acute side effects of regional nodal irradiation were modest. CONCLUSIONS In patients with early-stage breast cancer, irradiation of the regional nodes had a marginal effect on overall survival. Disease-free survival and distant disease-free survival were improved, and breast-cancer mortality was reduced. (Funded by Fonds Cancer; ClinicalTrials.gov number, NCT00002851.)

810 citations

Journal ArticleDOI
09 Nov 2006-Neuron
TL;DR: A critical role is demonstrated in the consolidation of enduring synaptic plasticity and memory storage in Arc/Arg3.1 knockout mice that fail to form long-lasting memories for implicit and explicit learning tasks, despite intact short-term memory.

809 citations

Journal ArticleDOI
TL;DR: Forest chimpanzees have a more specialized prey image, intentionally search for more adult prey, and hunt in larger groups and with a more elaborate cooperative level than savanna-woodlands chimpanzees, and tend to share meat more actively and more frequently.
Abstract: Hunting is often considered one of the major behaviors that shaped early hominids' evolution, along with the shift toward a drier and more open habitat. We suggest that a precise comparison of the hunting behavior of a species closely related to man might help us understand which aspects of hunting could be affected by environmental conditions. The hunting behavior of wild chimpanzees is discussed, and new observations on a population living in the tropical rain forest of the Tai National Park, Ivory Coast, are presented. Some of the forest chimpanzees' hunting performances are similar to those of savanna-woodlands populations; others are different. Forest chimpanzees have a more specialized prey image, intentionally search for more adult prey, and hunt in larger groups and with a more elaborate cooperative level than savanna-woodlands chimpanzees. In addition, forest chimpanzees tend to share meat more actively and more frequently. These findings are related to some theories on aspects of hunting behavior in early hominids and discussed in order to understand some factors influencing the hunting behavior of wild chimpanzees. Finally, the hunting behavior of primates is compared with that of social carnivores.

809 citations

Journal ArticleDOI
Lorenzo Galluzzi1, J M Bravo-San Pedro2, Ilio Vitale, Stuart A. Aaronson3, John M. Abrams4, Dieter Adam5, Emad S. Alnemri6, Lucia Altucci7, David W. Andrews8, Margherita Annicchiarico-Petruzzelli, Eric H. Baehrecke9, Nicolas G. Bazan10, Mathieu J.M. Bertrand11, Mathieu J.M. Bertrand12, Katiuscia Bianchi13, Katiuscia Bianchi14, Mikhail V. Blagosklonny15, Klas Blomgren16, Christoph Borner17, Dale E. Bredesen18, Dale E. Bredesen19, Catherine Brenner20, Catherine Brenner21, Michelangelo Campanella22, Eleonora Candi23, Francesco Cecconi23, Francis Ka-Ming Chan9, Navdeep S. Chandel24, Emily H. Cheng25, Jerry E. Chipuk3, John A. Cidlowski26, Aaron Ciechanover27, Ted M. Dawson28, Valina L. Dawson28, V De Laurenzi29, R De Maria, Klaus-Michael Debatin30, N. Di Daniele23, Vishva M. Dixit31, Brian David Dynlacht32, Wafik S. El-Deiry33, Gian Maria Fimia34, Richard A. Flavell35, Simone Fulda36, Carmen Garrido37, Marie-Lise Gougeon38, Douglas R. Green, Hinrich Gronemeyer39, György Hajnóczky6, J M Hardwick28, Michael O. Hengartner40, Hidenori Ichijo41, Bertrand Joseph16, Philipp J. Jost42, Thomas Kaufmann43, Oliver Kepp2, Daniel J. Klionsky44, Richard A. Knight22, Richard A. Knight45, Sharad Kumar46, Sharad Kumar47, John J. Lemasters48, Beth Levine49, Beth Levine50, Andreas Linkermann5, Stuart A. Lipton, Richard A. Lockshin51, Carlos López-Otín52, Enrico Lugli, Frank Madeo53, Walter Malorni54, Jean-Christophe Marine55, Seamus J. Martin56, J-C Martinou57, Jan Paul Medema58, Pascal Meier, Sonia Melino23, Noboru Mizushima41, Ute M. Moll59, Cristina Muñoz-Pinedo, Gabriel Núñez44, Andrew Oberst60, Theocharis Panaretakis16, Josef M. Penninger, Marcus E. Peter24, Mauro Piacentini23, Paolo Pinton61, Jochen H. M. Prehn62, Hamsa Puthalakath63, Gabriel A. Rabinovich64, Kodi S. Ravichandran65, Rosario Rizzuto66, Cecília M. P. Rodrigues67, David C. Rubinsztein68, Thomas Rudel69, Yufang Shi70, Hans-Uwe Simon43, Brent R. Stockwell71, Brent R. Stockwell50, Gyorgy Szabadkai22, Gyorgy Szabadkai66, Stephen W.G. Tait72, H. L. Tang28, Nektarios Tavernarakis73, Nektarios Tavernarakis74, Yoshihide Tsujimoto, T Vanden Berghe12, T Vanden Berghe11, Peter Vandenabeele11, Peter Vandenabeele12, Andreas Villunger75, Erwin F. Wagner76, Henning Walczak22, Eileen White77, W. G. Wood78, Junying Yuan79, Zahra Zakeri80, Boris Zhivotovsky16, Boris Zhivotovsky81, Gerry Melino23, Gerry Melino45, Guido Kroemer1 
Paris Descartes University1, Institut Gustave Roussy2, Mount Sinai Hospital3, University of Texas Southwestern Medical Center4, University of Kiel5, Thomas Jefferson University6, Seconda Università degli Studi di Napoli7, University of Toronto8, University of Massachusetts Medical School9, Louisiana State University10, Flanders Institute for Biotechnology11, Ghent University12, Cancer Research UK13, Queen Mary University of London14, Roswell Park Cancer Institute15, Karolinska Institutet16, University of Freiburg17, University of California, San Francisco18, Buck Institute for Research on Aging19, Université Paris-Saclay20, French Institute of Health and Medical Research21, University College London22, University of Rome Tor Vergata23, Northwestern University24, Memorial Sloan Kettering Cancer Center25, National Institutes of Health26, Technion – Israel Institute of Technology27, Johns Hopkins University28, University of Chieti-Pescara29, University of Ulm30, Genentech31, New York University32, Pennsylvania State University33, University of Salento34, Yale University35, Goethe University Frankfurt36, University of Burgundy37, Pasteur Institute38, University of Strasbourg39, University of Zurich40, University of Tokyo41, Technische Universität München42, University of Bern43, University of Michigan44, Medical Research Council45, University of South Australia46, University of Adelaide47, Medical University of South Carolina48, University of Texas at Dallas49, Howard Hughes Medical Institute50, St. John's University51, University of Oviedo52, University of Graz53, Istituto Superiore di Sanità54, Katholieke Universiteit Leuven55, Trinity College, Dublin56, University of Geneva57, University of Amsterdam58, Stony Brook University59, University of Washington60, University of Ferrara61, Royal College of Surgeons in Ireland62, La Trobe University63, University of Buenos Aires64, University of Virginia65, University of Padua66, University of Lisbon67, University of Cambridge68, University of Würzburg69, Soochow University (Suzhou)70, Columbia University71, University of Glasgow72, University of Crete73, Foundation for Research & Technology – Hellas74, Innsbruck Medical University75, Carlos III Health Institute76, Rutgers University77, University of Minnesota78, Harvard University79, City University of New York80, Moscow State University81
TL;DR: The Nomenclature Committee on Cell Death formulates a set of recommendations to help scientists and researchers to discriminate between essential and accessory aspects of cell death.
Abstract: Cells exposed to extreme physicochemical or mechanical stimuli die in an uncontrollable manner, as a result of their immediate structural breakdown. Such an unavoidable variant of cellular demise is generally referred to as ‘accidental cell death’ (ACD). In most settings, however, cell death is initiated by a genetically encoded apparatus, correlating with the fact that its course can be altered by pharmacologic or genetic interventions. ‘Regulated cell death’ (RCD) can occur as part of physiologic programs or can be activated once adaptive responses to perturbations of the extracellular or intracellular microenvironment fail. The biochemical phenomena that accompany RCD may be harnessed to classify it into a few subtypes, which often (but not always) exhibit stereotyped morphologic features. Nonetheless, efficiently inhibiting the processes that are commonly thought to cause RCD, such as the activation of executioner caspases in the course of apoptosis, does not exert true cytoprotective effects in the mammalian system, but simply alters the kinetics of cellular demise as it shifts its morphologic and biochemical correlates. Conversely, bona fide cytoprotection can be achieved by inhibiting the transduction of lethal signals in the early phases of the process, when adaptive responses are still operational. Thus, the mechanisms that truly execute RCD may be less understood, less inhibitable and perhaps more homogeneous than previously thought. Here, the Nomenclature Committee on Cell Death formulates a set of recommendations to help scientists and researchers to discriminate between essential and accessory aspects of cell death.

809 citations

Journal ArticleDOI
TL;DR: It is shown that CHELSA climatological data has a similar accuracy as other products for temperature, but that its predictions of precipitation patterns are better and can increase the accuracy of species range predictions.
Abstract: High resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present the CHELSA Climatologies at high resolution for the earths land surface areas data of downscaled model output temperature and precipitation estimates of the ERA Interim climatic reanalysis to a high resolution of 30 arc seconds. The temperature algorithm is based on statistical downscaling of atmospheric temperatures. The precipitation algorithm incorporates orographic predictors including wind fields, valley exposition, and boundary layer height with a subsequent bias correction. The resulting data consist of a monthly temperature and precipitation climatology for the years 1979 to 2013. We compare the data derived from the CHELSA algorithm with other standard gridded products and station data from the Global Historical Climate Network. We compare the performance of the new climatologies in species distribution modelling and show that we can increase the accuracy of species range predictions. We further show that CHELSA climatological data has a similar accuracy as other products for temperature but that its predictions of precipitation patterns are better.

809 citations


Authors

Showing all 51384 results

NameH-indexPapersCitations
Richard A. Flavell2311328205119
Peer Bork206697245427
Thomas C. Südhof191653118007
Stuart H. Orkin186715112182
Ruedi Aebersold182879141881
Tadamitsu Kishimoto1811067130860
Stanley B. Prusiner16874597528
Yang Yang1642704144071
Tomas Hökfelt158103395979
Dan R. Littman157426107164
Hans Lassmann15572479933
Matthias Egger152901184176
Lorenzo Bianchini1521516106970
Robert M. Strieter15161273040
Ashok Kumar1515654164086
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023265
20221,039
20218,997
20208,398
20197,336
20186,832