27 research outputs found
Opposing effects of bortezomib-induced nuclear factor-κB inhibition on chemical lung carcinogenesis
Since recent evidence indicates a requirement for epithelial nuclear factor (NF)-κB signaling in lung tumorigenesis, we investigated the impact of the NF-κB inhibitor bortezomib on lung tumor promotion and growth. We used an experimental model in which wild-type mice or mice expressing an NF-κB reporter received intraperitoneal urethane (1 g/kg) followed by twice weekly bortezomib (1 mg/kg) during distinct periods of tumor initiation/progression. Mice were serially assessed for lung NF-κB activation, inflammation and carcinogenesis. Short-term proteasome inhibition with bortezomib did not impact tumor formation but retarded the growth of established lung tumors in mice via effects on cell proliferation. In contrast, long-term treatment with bortezomib resulted in significantly increased lung tumor number and size. This tumor-promoting effect of prolonged bortezomib treatment was associated with perpetuation of urethane-induced inflammation and chronic upregulation of interleukin-1β and proinflammatory C-X-C motif chemokine ligands (CXCL) 1 and 2 in the lungs. In addition to airway epithelium, bortezomib inhibited NF-κB in pulmonary macrophages in vivo, presenting a possible mechanism of tumor amplification. In this regard, RAW264.7 macrophages exposed to bortezomib showed increased expression of interleukin-1β, CXCL1 and CXCL2. In conclusion, although short-term bortezomib may exert some beneficial effects, prolonged NF-κB inhibition accelerates chemical lung carcinogenesis by perpetuating carcinogen-induced inflammation. Inhibition of NF-κB in pulmonary macrophages appears to play an important role in this adverse process. © The Author 2012. Published by Oxford University Press. All rights reserved
Psychometrics: From practice to theory and back
nonparametric IRT, NIRT, latent unidimensionality, latent multidimensionality, essential unidimensionality, monotone locally independent unidimensional IRT model, MLI1, item pair conditional covariances, DIMTEST, HCA/CCPROX, DETECT, CONCOV, Mokken scaling, generalized compensatory model, approximate simple structure, DIF, differential item functioning, differential bundle functioning DBF, valid subtest, multidimensional model for DIF, MMD, SIBTEST, MultiSIB, Mantel-Haenszel, PolySIB, CrossingSIB, skills diagnosis, formative assessment, Unified Model, reparameterized Bayes Unified Model, MCMC, evidence centered design, ECD, PSAT Score Report Plus,
Influence of equal or unequal comparison group sample sizes on the detection of differential item functioning using the Mantel–Haenszel and logistic regression techniques
Differential item functioning, DIF, Mantel–Haenszel, Logistic regression, Sample size,
The theoretical detect index of dimensionality and its application to approximate simple structure
item response theory, dimensionality, multidimensionality, generalized compensatory model, simple structure, approximate simple structure, genetic algorithm, dimensionally homogeneous item cluster, latent space, test space,