Over one third of patients had complete suppression of plasma FGF-2, which correlated with clinical response to this therapy. Clin Cancer Res; 19(23); 6597-604. (C) 2013 AACR.”
“BACKGROUND: Using multipollutant models to understand combined health effects of exposure to multiple pollutants is becoming more common. However, complex relationships between pollutants and differing degrees of exposure error across pollutants can make health effect estimates from multipollutant models difficult

to interpret. OBJECTIVES: We aimed to quantify relationships between LCL161 multiple pollutants and their associated exposure errors across metrics of exposure and to use empirical values to evaluate potential attenuation of coefficients in epidemiologic models. METHODS: We used three daily exposure metrics (central-site measurements, air quality model estimates, and population exposure model estimates) for

193 ZIP codes in the Atlanta, Georgia, metropolitan area from 1999 through 2002 for PM2.5 and its components (EC and SO4), as well as O-3, CO, and Caspase inhibitor NOx, to construct three types of exposure error: delta(spatial) (comparing air quality model estimates to central-site measurements), delta(population) (comparing population exposure model estimates to air quality model estimates), and delta(total) (comparing population exposure model estimates to central-site measurements). We compared exposure metrics and exposure errors within and across pollutants and derived attenuation factors (ratio of observed to true coefficient for pollutant of interest) for single- and bipollutant model coefficients. RESULTS: LY2835219 order Pollutant concentrations and their exposure errors were moderately to highly

correlated (typically, bigger than 0.5), especially for CO, NOx, and EC (i.e., “local” pollutants); correlations differed across exposure metrics and types of exposure error. Spatial variability was evident, with variance of exposure error for local pollutants ranging from 0.25 to 0.83 for delta(spatial) and delta(total). The attenuation of model coefficients in single-and bipollutant epidemiologic models relative to the true value differed across types of exposure error, pollutants, and space. CONCLUSIONS: Under a classical exposure-error framework, attenuation may be substantial for local pollutants as a result of delta(spatial) and delta(total) with true coefficients reduced by a factor typically smaller than 0.6 (results varied for delta(population) and regional pollutants).”
“Individual differences in drug efficacy or toxicity can be influenced by genetic factors. We investigated whether polymorphisms of pharmacogenes that interfere with metabolism of drugs used in conditioning regimen and graft-versus-host disease (GvHD) prophylaxis could be associated with outcomes after HLA-identical hematopoietic stem cell transplantation (HSCT).