Nuclear Kaiso Expression Is Associated with High Grade and Triple-Negative Invasive Breast Cancer

Kaiso is a BTB/POZ transcription factor that is ubiquitously expressed in multiple cell types and functions as a transcriptional repressor and activator. Little is known about Kaiso expression and localization in breast cancer. Here, we have related pathological features and molecular subtypes to Kaiso expression in 477 cases of human invasive breast cancer. Nuclear Kaiso was predominantly found in invasive ductal carcinoma (IDC) (p = 0.007), while cytoplasmic Kaiso expression was linked to invasive lobular carcinoma (ILC) (p = 0.006). Although cytoplasmic Kaiso did not correlate to clinicopathological features, we found a significant correlation between nuclear Kaiso, high histological grade (p = 0.023), ERα negativity (p = 0.001), and the HER2-driven and basal/triple-negative breast cancers (p = 0.018). Interestingly, nuclear Kaiso was also abundant in BRCA1-associated breast cancer (p<0.001) and invasive breast cancer overexpressing EGFR (p = 0.019). We observed a correlation between nuclear Kaiso and membrane-localized E-cadherin and p120-catenin (p120) (p<0.01). In contrast, cytoplasmic p120 strongly correlated with loss of E-cadherin and low nuclear Kaiso (p = 0.005). We could confirm these findings in human ILC cells and cell lines derived from conditional mouse models of ILC. Moreover, we present functional data that substantiate a mechanism whereby E-cadherin controls p120-mediated relief of Kaiso-dependent gene repression. In conclusion, our data indicate that nuclear Kaiso is common in clinically aggressive ductal breast cancer, while cytoplasmic Kaiso and a p120-mediated relief of Kaiso-dependent transcriptional repression characterize ILC

Mineral phosphorus drives glacier algal blooms on the Greenland Ice Sheet

Melting of the Greenland Ice Sheet is a leading cause of land-ice mass loss and cryosphere-attributed sea level rise. Blooms of pigmented glacier ice algae lower ice albedo and accelerate surface melting in the ice sheet’s southwest sector. Although glacier ice algae cause up to 13% of the surface melting in this region, the controls on bloom development remain poorly understood. Here we show a direct link between mineral phosphorus in surface ice and glacier ice algae biomass through the quantification of solid and fluid phase phosphorus reservoirs in surface habitats across the southwest ablation zone of the ice sheet. We demonstrate that nutrients from mineral dust likely drive glacier ice algal growth, and thereby identify mineral dust as a secondary control on ice sheet melting.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Genomics and premalignant breast lesions: clues to the development and progression of lobular breast cancer

Advances in genomic technology have improved our understanding of the genetic events that parallel breast cancer development. Because almost all mammary carcinomas develop in the terminal duct lobular units of the breast, understanding the events involved in mammary gland development make it possible to recognize those events that, when altered, contribute to breast neoplasia. In this review we focus on lobular carcinomas, discussing the pathology, development, and progression of premalignant lobular lesions from a genomic point of view. We highlight studies utilizing genomic approaches and describe how these investigations have furthered our understanding of the complexity of premalignant breast lesions

Modeling causes of death: an integrated approach using CODEm

Background: Data on causes of death by age and sex are a critical input into health decision-making. Priority setting in public health should be informed not only by the current magnitude of health problems but by trends in them. However, cause of death data are often not available or are subject to substantial problems of comparability. We propose five general principles for cause of death model development, validation, and reporting.Methods: We detail a specific implementation of these principles that is embodied in an analytical tool - the Cause of Death Ensemble model (CODEm) - which explores a large variety of possible models to estimate trends in causes of death. Possible models are identified using a covariate selection algorithm that yields many plausible combinations of covariates, which are then run through four model classes. The model classes include mixed effects linear models and spatial-temporal Gaussian Process Regression models for cause fractions and death rates. All models for each cause of death are then assessed using out-of-sample predictive validity and combined into an ensemble with optimal out-of-sample predictive performance.Results: Ensemble models for cause of death estimation outperform any single component model in tests of root mean square error, frequency of predicting correct temporal trends, and achieving 95% coverage of the prediction interval. We present detailed results for CODEm applied to maternal mortality and summary results for several other causes of death, including cardiovascular disease and several cancers.Conclusions: CODEm produces better estimates of cause of death trends than previous methods and is less susceptible to bias in model specification. We demonstrate the utility of CODEm for the estimation of several major causes of death

Measuring empathy in pediatrics: validation of the Visual CARE measure

Background: Empathy is a key element of “Patient and Family Centered Care”, a clinical approach recommended by the American Academy of Pediatrics. However, there is a lack of validated tools to evaluate paediatrician empathy. This study aimed to validate the Visual CARE Measure, a patient rated questionnaire measuring physician empathy, in the setting of a Pediatric Emergency Department (ED). Methods: The empathy of physicians working in the Pediatric ED of the University Hospital of Udine, Italy, was assessed using an Italian translation of the Visual Care Measure. This test has three versions suited to different age groups: the 5Q questionnaire was administered to children aged 7–11, the 10Q version to those older than 11, and the 10Q–Parent questionnaire to parents of children younger than 7. The internal reliability, homogeneity and construct validity of the 5Q and 10Q/10Q–Parent versions of the Visual Care Measure, were separately assessed. The influence of family background on the rating of physician empathy and satisfaction with the clinical encounter was also evaluated. Results: Seven physicians and 416 children and their parents were included in the study. Internal consistency measured by Cronbach’s alpha was 0.95 for the 10Q/10Q–Parent versions and 0.88 for the 5Q version. The item-total correlation was &gt; 0.75 for each item. An exploratory factor analysis showed that all the items load onto the first factor. Physicians’ empathy scores correlated with patients’ satisfaction for both the 10Q and 10Q–Parent questionnaires (Spearman’s rho = 0.7189; p &lt; 0.001) and for the 5Q questionnaire (Spearman’s rho = 0.5968; p &lt; 0,001). Trust in the consulting physician was lower among immigrant parents (OR 0.43. 95% CI 0.20–0.93). Conclusions: The Visual Care Measure is a reliable second-person test of physician empathy in the setting of a Pediatric Emergency Room. More studies are needed to evaluate the reliability of this instrument in other pediatric settings distinct from the Emergency Room and to further evaluate its utility in measuring the impact of communication and empathy training programmes for healthcare professionals working in pediatrics