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Institution

University of Turin

EducationTurin, Piemonte, Italy
About: University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 29607 authors who have published 77952 publications receiving 2480900 citations. The organization is also known as: Universita degli Studi di Torino & Università degli Studi di Torino.


Papers
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Book ChapterDOI
01 Jun 1986
TL;DR: In this paper, a class of Petri nets in which transitions can fire after either a deterministic or a random, exponentially distributed, firing delay is defined, and a solution technique is presented to obtain the steady-state probability distribution over markings, introducing restrictions on the use of deterministic firing delays.
Abstract: A class of Petri nets (DSPN) in which transitions can fire after either a deterministic or a random, exponentially distributed, firing delay is defined, and a solution technique is presented to obtain the steady-state probability distribution over markings, introducing restrictions on the use of deterministic firing delays. An example of application of this modeling technique is presented to demonstrate the impact that the use of a mix of deterministic and exponentially distributed firing delays (instead of all exponentially distributed firing delays) can have on performance and reliability estimates.

377 citations

Journal ArticleDOI
01 May 2010
TL;DR: The prognosis for patients with idiopathic pulmonary fibrosis may be accurately determined using four readily ascertainable predictors, and a simplified scoring system may be a valuable tool for determining prognosis and guiding clinical management.
Abstract: Rationale: Several predictors of mortality in patients with idiopathic pulmonary fibrosis have been described; however, there is a need for a practical and accurate method of quantifying the prognosis of individual patients.Objectives: Develop a practical mortality risk scoring system for patients with idiopathic pulmonary fibrosis.Methods: We used a Cox proportional hazards model and data from two clinical trials (n = 1,099) to identify independent predictors of 1-year mortality among patients with idiopathic pulmonary fibrosis. From the comprehensive model, an abbreviated clinical model comprised of only those predictors that are readily and reliably ascertained by clinicians was derived. Beta coefficients for each predictor were then used to develop a practical mortality risk scoring system.Measurements and Main Results: Independent predictors of mortality included age, respiratory hospitalization, percent predicted FVC, 24-week change in FVC, percent predicted carbon monoxide diffusing capacity, 24-we...

376 citations

Journal ArticleDOI
Lorenzo Galluzzi, Erika Vacchelli1, José Manuel Bravo-San Pedro1, Aitziber Buqué1, Laura Senovilla1, Elisa E. Baracco, Norma Bloy, Francesca Castoldi, Jean Pierre Abastado, Patrizia Agostinis2, Ron N. Apte3, Fernando Aranda, Maha Ayyoub1, Philipp Beckhove4, Jean-Yves Blay, Laura Bracci5, Anne Caignard1, Chiara Castelli, Federica Cavallo6, Estaban Celis7, Vincenzo Cerundolo8, Aled Clayton9, Mario P. Colombo, Lisa M. Coussens10, Madhav V. Dhodapkar11, Alexander M.M. Eggermont, Douglas T. Fearon12, Wolf H. Fridman, Jitka Fucikova, Dmitry I. Gabrilovich13, Jérôme Galon, Abhishek D. Garg2, François Ghiringhelli14, François Ghiringhelli1, Giuseppe Giaccone15, Giuseppe Giaccone16, Eli Gilboa17, Sacha Gnjatic18, Axel Hoos19, Anne Hosmalin1, Anne Hosmalin20, Anne Hosmalin21, Dirk Jäger22, Pawel Kalinski23, Klas Kärre24, Oliver Kepp1, Rolf Kiessling24, John M. Kirkwood23, Eva Klein24, Alexander Knuth25, Claire E. Lewis26, Roland S. Liblau21, Roland S. Liblau1, Roland S. Liblau27, Michael T. Lotze23, Enrico Lugli, Jean-Pierre Mach28, Fabrizio Mattei5, Domenico Mavilio29, Ignacio Melero30, Cornelis J. M. Melief31, E. A. Mittendorf32, Lorenzo Moretta33, Adekunke Odunsi34, Hideho Okada35, Anna Karolina Palucka, Marcus E. Peter36, Kenneth J. Pienta37, Angel Porgador3, George C. Prendergast38, George C. Prendergast39, Gabriel A. Rabinovich40, Nicholas P. Restifo15, Naiyer A. Rizvi41, Catherine Sautès-Fridman, Hans Schreiber42, Barbara Seliger43, Hiroshi Shiku44, Bruno Silva-Santos45, Mark J. Smyth46, Mark J. Smyth47, Daniel E. Speiser28, Daniel E. Speiser48, Radek Spisek, Pramod K. Srivastava49, James E. Talmadge50, Eric Tartour, Sjoerd H. van der Burg31, Benoît Van den Eynde51, Benoît Van den Eynde48, Richard G. Vile52, Hermann Wagner53, Jeffrey S. Weber54, Theresa L. Whiteside23, Jedd D. Wolchok55, Jedd D. Wolchok41, Laurence Zitvogel, Weiping Zou56, Guido Kroemer 
French Institute of Health and Medical Research1, Katholieke Universiteit Leuven2, Ben-Gurion University of the Negev3, German Cancer Research Center4, Istituto Superiore di Sanità5, University of Turin6, Georgia Regents University7, University of Oxford8, Cardiff University9, Oregon Health & Science University10, Yale University11, Cold Spring Harbor Laboratory12, University of Pennsylvania13, University of Burgundy14, National Institutes of Health15, Georgetown University16, University of Miami17, Icahn School of Medicine at Mount Sinai18, GlaxoSmithKline19, University of Paris20, Centre national de la recherche scientifique21, Heidelberg University22, University of Pittsburgh23, Karolinska Institutet24, Hamad Medical Corporation25, University of Sheffield26, Centre Hospitalier Universitaire de Toulouse27, University of Lausanne28, University of Milan29, University of Navarra30, Leiden University31, University of Texas Health Science Center at Houston32, Istituto Giannina Gaslini33, Roswell Park Cancer Institute34, University of California, San Francisco35, Northwestern University36, Johns Hopkins University37, Main Line Health38, Thomas Jefferson University39, University of Buenos Aires40, Memorial Sloan Kettering Cancer Center41, University of Chicago42, Martin Luther University of Halle-Wittenberg43, Mie University44, University of Lisbon45, University of Queensland46, QIMR Berghofer Medical Research Institute47, Ludwig Institute for Cancer Research48, University of Connecticut49, University of Nebraska Medical Center50, Université catholique de Louvain51, Mayo Clinic52, Technische Universität München53, University of South Florida54, Cornell University55, University of Michigan56
TL;DR: A critical, integrated classification of anticancer immunotherapies is proposed and the clinical relevance of these approaches is discussed.
Abstract: During the past decades, anticancer immunotherapy has evolved from a promising therapeutic option to a robust clinical reality. Many immunotherapeutic regimens are now approved by the US Food and Drug Administration and the European Medicines Agency for use in cancer patients, and many others are being investigated as standalone therapeutic interventions or combined with conventional treatments in clinical studies. Immunotherapies may be subdivided into "passive" and "active" based on their ability to engage the host immune system against cancer. Since the anticancer activity of most passive immunotherapeutics (including tumor-targeting monoclonal antibodies) also relies on the host immune system, this classification does not properly reflect the complexity of the drug-host-tumor interaction. Alternatively, anticancer immunotherapeutics can be classified according to their antigen specificity. While some immunotherapies specifically target one (or a few) defined tumor-associated antigen(s), others operate in a relatively non-specific manner and boost natural or therapy-elicited anticancer immune responses of unknown and often broad specificity. Here, we propose a critical, integrated classification of anticancer immunotherapies and discuss the clinical relevance of these approaches.

375 citations

Journal ArticleDOI
TL;DR: A total of 35 experts met to address several questions on non-small-cell lung cancer (NSCLC) in each of four areas: pathology and molecular biomarkers, first-line/second and further lines in advanced disease, early-stage disease and locally advanced disease.

375 citations

Journal ArticleDOI
TL;DR: The screening of patients, optimization of therapeutic schemes, monitoring of cardiovascular function during treatment, and the management of cardiovascular side effects are likely to become increasingly important in cancer patients.
Abstract: The reductions in mortality and morbidity being achieved among cancer patients with current therapies represent a major achievement. However, given their mechanisms of action, many anti-cancer agents may have significant potential for cardiovascular side effects, including the induction of heart failure. The magnitude of this problem remains unclear and is not readily apparent from current clinical trials of emerging targeted agents, which generally under-represent older patients and those with significant co-morbidities. The risk of adverse events may also increase when novel agents, which frequently modulate survival pathways, are used in combination with each other or with other conventional cytotoxic chemotherapeutics. The extent to which survival and growth pathways in the tumour cell (which we seek to inhibit) coincide with those in cardiovascular cells (which we seek to preserve) is an open question but one that will become ever more important with the development of new cancer therapies that target intracellular signalling pathways. It remains unclear whether potential cardiovascular problems can be predicted from analyses of such basic signalling mechanisms and what pre-clinical evaluation should be undertaken. The screening of patients, optimization of therapeutic schemes, monitoring of cardiovascular function during treatment, and the management of cardiovascular side effects are likely to become increasingly important in cancer patients. This paper summarizes the deliberations of a cross-disciplinary workshop organized by the Heart Failure Association of the European Society of Cardiology (held in Brussels in May 2009), which brought together clinicians working in cardiology and oncology and those involved in basic, translational, and pharmaceutical science.

375 citations


Authors

Showing all 30045 results

NameH-indexPapersCitations
Michael Grätzel2481423303599
Lewis C. Cantley196748169037
Kenneth C. Anderson1781138126072
Elio Riboli1581136110499
Giacomo Bruno1581687124368
Silvia Franceschi1551340112504
Thomas E. Starzl150162591704
Paolo Boffetta148145593876
Marco Costa1461458105096
Pier Paolo Pandolfi14652988334
Andrew Ivanov142181297390
Chiara Mariotti141142698157
Tomas Ganz14148073316
Jean-Pierre Changeux13867276462
Dong-Chul Son138137098686
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023202
2022623
20215,734
20205,428
20194,544
20184,233