955 resultados para Highway-railroad grade crossings


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Background & Aims: Esophageal adenocarcinoma arises from Barrett's esophagus (BE); patients with this cancer have a poor prognosis. Identification of modifiable lifestyle factors that affect the risk of progression from BE to esophageal adenocarcinoma might prevent its development. We investigated associations among body size, smoking, and alcohol use with progression of BE to neoplasia. Methods: We analyzed data from patients with BE identified from the population-based Northern Ireland BE register, diagnosed between 1993 and 2005 with specialized intestinal metaplasia (n = 3167). Data on clinical, demographic, and lifestyle factors related to diagnosis of BE were collected from hospital case notes. We used the Northern Ireland Cancer Registry to identify which of these patients later developed esophageal adenocarcinoma, adenocarcinomas of the gastric cardia, or esophageal high-grade dysplasia. Cox proportional hazards models were used to associate lifestyle factors with risk of progression.
Results: By December 31, 2008, 117 of the patients with BE developed esophageal high-grade dysplasia or adenocarcinomas of the esophagus or gastric cardia. Current tobacco smoking was significantly associated with an increased risk of progression (hazard ratio = 2.03; 95% confidence interval, 1.29-3.17) compared with never smoking, and across all strata of smoking intensity. Alcohol consumption was not related to risk of progression. Measures of body size were infrequently reported in endoscopy reports, and body size was not associated with risk of progression.
Conclusions: Smoking tobacco increases the risk of progression to cancer or high-grade dysplasia 2-fold among patients with BE, compared with patients with BE that have never smoked. Smoking cessation strategies should be considered for patients with BE.

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Epithelial ovarian cancer (EOC) has an innate susceptibility to become chemoresistant. Up to 30% of patients do not respond to conventional chemotherapy [paclitaxel (Taxol®) in combination with carboplatin] and, of those who have an initial response, many patients relapse. Therefore, an understanding of the molecular mechanisms that regulate cellular chemotherapeutic responses in EOC cells has the potential to impact significantly on patient outcome. The mitotic arrest deficiency protein 2 (MAD2), is a centrally important mediator of the cellular response to paclitaxel. MAD2 immunohistochemical analysis was performed on 82 high-grade serous EOC samples. A multivariate Cox regression analysis of nuclear MAD2 IHC intensity adjusting for stage, tumour grade and optimum surgical debulking revealed that low MAD2 IHC staining intensity was significantly associated with reduced progression-free survival (PFS) (p = 0.0003), with a hazard ratio of 4.689. The in vitro analyses of five ovarian cancer cell lines demonstrated that cells with low MAD2 expression were less sensitive to paclitaxel. Furthermore, paclitaxel-induced activation of the spindle assembly checkpoint (SAC) and apoptotic cell death was abrogated in cells transfected with MAD2 siRNA. In silico analysis identified a miR-433 binding domain in the MAD2 3' UTR, which was verified in a series of experiments. Firstly, MAD2 protein expression levels were down-regulated in pre-miR-433 transfected A2780 cells. Secondly, pre-miR-433 suppressed the activity of a reporter construct containing the 3'-UTR of MAD2. Thirdly, blocking miR-433 binding to the MAD2 3' UTR protected MAD2 from miR-433 induced protein down-regulation. Importantly, reduced MAD2 protein expression in pre-miR-433-transfected A2780 cells rendered these cells less sensitive to paclitaxel. In conclusion, loss of MAD2 protein expression results in increased resistance to paclitaxel in EOC cells. Measuring MAD2 IHC staining intensity may predict paclitaxel responses in women presenting with high-grade serous EOC.

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The aim of this paper was to define the outcomes and risks of stereotactic radiosurgery (SRS) for Spetzler-Martin Grade I and II arteriovenous malformations (AVMs).

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We develop a model of strategic grade determination by universities distinguished by their distributions of student academic abilities. Universities choose grading standards to maximize the total wages of graduates, taking into account how the grading standards affect firms' productivity assessment and job placement. We identify conditions under which better universities set lower grading standards, exploiting the fact that firms cannot distinguish between good and badA''s. In contrast, a social planner sets stricter standards at better universities. We show how increases in skilled jobs drive grade inflation, and determine when grading standards fall faster at better schools. (JEL I21)