Institution
University of Palermo
Education•Palermo, Italy•
About: University of Palermo is a education organization based out in Palermo, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 15621 authors who have published 40250 publications receiving 964384 citations. The organization is also known as: Università degli Studi di Palermo & Universita degli Studi di Palermo.
Topics: Population, Cancer, Catalysis, Diabetes mellitus, Volcano
Papers published on a yearly basis
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TL;DR: The current status of research in the development of CdTe and CdZnTe detectors is reviewed by a comprehensive survey on the material properties, the device characteristics, the different techniques for improving the overall detector performance and some major applications.
Abstract: Over the last decade, cadmium telluride (CdTe) and cadmium zinc telluride (CdZnTe) wide band gap semiconductors have attracted increasing interest as X-ray and gamma ray detectors. Among the traditional high performance spectrometers based on silicon (Si) and germanium (Ge), CdTe and CdZnTe detectors show high detection efficiency and good room temperature performance and are well suited for the development of compact and reliable detection systems. In this paper, we review the current status of research in the development of CdTe and CdZnTe detectors by a comprehensive survey on the material properties, the device characteristics, the different techniques for improving the overall detector performance and some major applications. Astrophysical and medical applications are discussed, pointing out the ongoing Italian research activities on the development of these detectors.
643 citations
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TL;DR: Signal transducers and activators of transcription (STAT) proteins comprise a family of transcription factors latent in the cytoplasm that participate in normal cellular events, such as differentiation, proliferation, cell survival, apoptosis, and angiogenesis following cytokine, growth factor, and hormone signaling.
Abstract: Signal transducers and activators of transcription (STAT) proteins comprise a family of transcription factors latent in the cytoplasm that participate in normal cellular events, such as differentiation, proliferation, cell survival, apoptosis, and angiogenesis following cytokine, growth factor, and hormone signaling. STATs are activated by tyrosine phosphorylation, which is normally a transient and tightly regulates process. Nevertheless, several constitutively activated STATs have been observed in a wide number of human cancer cell lines and primary tumors, including blood malignancies and solid neoplasias. STATs can be divided into two groups according to their specific functions. One is made up of STAT2, STAT4, and STAT6, which are activated by a small number of cytokines and play a distinct role in the development of T-cells and in IFNgamma signaling. The other group includes STAT1, STAT3, and STAT5, activated in different tissues by means of a series of ligands and involved in IFN signaling, development of the mammary gland, response to GH, and embriogenesis. This latter group of STATS plays an important role in controlling cell-cycle progression and apoptosis and thus contributes to oncogenesis. Although an increased expression of STAT1 has been observed in many human neoplasias, this molecule can be considered a potential tumor suppressor, since it plays an important role in growth arrest and in promoting apoptosis. On the other hand, STAT3 and 5 are considered as oncogenes, since they bring about the activation of cyclin D1, c-Myc, and bcl-xl expression, and are involved in promoting cell-cycle progression, cellular transformation, and in preventing apoptosis.
615 citations
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University of Siena1, Boston Children's Hospital2, University of Florence3, University of Naples Federico II4, University of Brescia5, University of Messina6, University of Palermo7, University of Bari8, Seconda Università degli Studi di Napoli9, University of Padua10, Catholic University of the Sacred Heart11
TL;DR: In this article, the authors investigated the drug retention rate of interleukin (IL)-1 inhibitors on systemic JIA (sJIA) patients and evaluated predictive factors of drug survival based on data from a real-world setting concerning sJIA.
Abstract: Background and Objectives: Few studies have reported the drug retention rate (DRR) of biologic drugs in juvenile idiopathic arthritis (JIA), and none of them has specifically investigated the DRR of interleukin (IL)-1 inhibitors on systemic JIA (sJIA). This study aims to describe IL-1 inhibitors DRR and evaluate predictive factors of drug survival based on data from a real-world setting concerning sJIA. Methods: Medical records from sJIA patients treated with anakinra (ANA) and canakinumab (CAN) were retrospectively analyzed from 15 Italian tertiary referral centers. Results: Seventy seven patients were enrolled for a total of 86 treatment courses. The cumulative retention rate of the IL-1 inhibitors at 12-, 24-, 48-, and 60-months of follow-up was 79.9, 59.5, 53.5, and 53.5%, respectively, without any statistically significant differences between ANA and CAN (p = 0.056), and between patients treated in monotherapy compared to the subgroup co-administered with conventional immunosuppressors (p = 0.058). On the contrary, significant differences were found between biologic-naive patients and those previously treated with biologic drugs (p = 0.038) and when distinguishing according to adverse events (AEs) occurrence (p = 0.04). In regression analysis, patients pre-treated with other biologics (HR = 3.357 [CI: 1.341-8.406], p = 0.01) and those experiencing AEs (HR = 2.970 [CI: 1.186-7.435], p = 0.020) were associated with a higher hazard ratio of IL-1 inhibitors withdrawal. The mean treatment delay was significantly higher among patients discontinuing IL-1 inhibitors (p = 0.0002). Conclusions: Our findings suggest an excellent overall DRR for both ANA and CAN that might be further augmented by paying attention to AEs and employing these agents as first-line biologics in an early disease phase.
615 citations
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TL;DR: In patients with HCV‐related, histologically proven cirrhosis, achievement of a SVR after IFNα therapy was associated with a reduction of liver‐related mortality lowering both the risk of complications and HCC development.
605 citations
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Medical University of Vienna1, Cancer Research UK2, Weizmann Institute of Science3, University of Glasgow4, Imperial College London5, University of Paris6, University of Groningen7, University of Palermo8, University of Cambridge9, French Institute of Health and Medical Research10, Saarland University11, VU University Amsterdam12, Centre national de la recherche scientifique13, Research Institute of Molecular Pathology14, Aalborg University15, University of Texas MD Anderson Cancer Center16, University of British Columbia17
TL;DR: More precise reporting of the parameters that are used to identify CSCs and to attribute responses to them is recommended as key to accelerating an understanding of their biology and developing more effective methods for their eradication in patients.
Abstract: The cancer stem cell (CSC) concept has important therapeutic implications, but its investigation has been hampered both by a lack of consistency in the terms used for these cells and by how they are defined. Evidence of their heterogeneous origins, frequencies and their genomic, as well as their phenotypic and functional, properties has added to the confusion and has fuelled new ideas and controversies. Participants in The Year 2011 Working Conference on CSCs met to review these issues and to propose a conceptual and practical framework for CSC terminology. More precise reporting of the parameters that are used to identify CSCs and to attribute responses to them is also recommended as key to accelerating an understanding of their biology and developing more effective methods for their eradication in patients.
604 citations
Authors
Showing all 15895 results
Name | H-index | Papers | Citations |
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Robin M. Murray | 171 | 1539 | 116362 |
Frede Blaabjerg | 147 | 2161 | 112017 |
Jean Bousquet | 145 | 1288 | 96769 |
Zhanhu Guo | 128 | 886 | 53378 |
Jean Ballet | 115 | 263 | 46301 |
Antonio Facchetti | 111 | 602 | 51885 |
Michele Pagano | 97 | 306 | 42211 |
Frank Z. Stanczyk | 93 | 620 | 30244 |
Eleonora Troja | 91 | 271 | 30873 |
Francesco Sciortino | 90 | 536 | 28956 |
Zev Rosenwaks | 89 | 772 | 32039 |
Antonio Russo | 88 | 934 | 34563 |
Carlo Salvarani | 88 | 730 | 31699 |
Giuseppe Basso | 87 | 643 | 33320 |
Antonio Craxì | 86 | 659 | 39463 |