Obesity data were derived from the National Center for Health Statistics Behavioral Risk Factor Surveillance System. MEDLINE searches were performed using keywords, such as socioeconomic status, poverty, African American, Hispanic, race, and combined with related articles.\n\nResults: Socioeconomic Entinostat deprivation may be responsible for the increased risk of breast cancer mortality in African American and Hispanic patients, as they are more likely than white American patients to be diagnosed with advanced disease. Among white women, social deprivation is related to poor breast cancer prognosis, with increased prevalence rates of high-grade, estrogen receptor

(ER)-negative tumors, similar to that of triple-negative breast cancers observed in African American

and Hispanic women. Obesity is associated with advanced breast cancer at diagnosis, high tumor proliferation rates, and more triple-negative phenotypes, indicating that it may adversely contribute to prognosis.\n\nConclusions: Most studies show an effect of SES on breast cancer incidence and prognosis. Research should focus on the influence of social deprivation on breast cancer characteristics, such as absence of ER expression, that occurs in African Americans and Hispanics and in white European women with a different genetic background.”
“The ESCAPE study (European Study of Cohorts for Air Pollution Effects) investigates long-term effects of exposure to air pollution on human health in Europe. This paper documents the spatial variation of measured NO2 and NOx concentrations between and within 36 ESCAPE study areas across Europe.\n\nIn Bucladesine chemical structure all study areas NO2 and NOx were measured using standardized methods between October 2008 and April 2011.

On average, 41 sites were selected per study area, including regional and urban background as well as street sites. The measurements were conducted in three different seasons, using Ogawa badges. Average concentrations for each site were calculated Anlotinib concentration after adjustment for temporal variation using data obtained from a routine monitor background site.\n\nSubstantial spatial variability was found in NO2 and NOx concentrations between and within study areas; 40% of the overall NO2 variance was attributable to the variability between study areas and 60% to variability within study areas. The corresponding values for NOx were 30% and 70%. The within-area spatial variability was mostly determined by differences between street and urban background concentrations. The street/urban background concentration ratio for NO2 varied between 1.09 and 3.16 across areas. The highest median concentrations were observed in Southern Europe, the lowest in Northern Europe.\n\nIn conclusion, we found significant contrasts in annual average NO2 and NOx concentrations between and especially within 36 study areas across Europe.