Family History and Breast Cancer Hormone Receptor Status in a Spanish Cohort

Breast cancer is a heterogenous disease that impacts racial/ethnic groups differently. Differences in genetic composition, lifestyles, reproductive factors, or environmental exposures may contribute to the differential presentation of breast cancer among Hispanic women.A population-based study was conducted in the city of Santiago de Compostela, Spain. A total of 645 women diagnosed with operable invasive breast cancer between 1992 and 2005 participated in the study. Data on demographics, breast cancer risk factors, and clinico-pathological characteristics of the tumors were collected. Hormone receptor negative tumors were compared with hormone receptor postive tumors on their clinico-pathological characteristics as well as risk factor profiles.Among the 645 breast cancer patients, 78% were estrogen receptor-positive (ER+) or progesterone receptor-positive (PR+), and 22% were ER−&PR−. Women with a family history of breast cancer were more likely to have ER−&PR− tumors than women without a family history (Odds ratio, 1.43; 95% confidence interval, 0.91–2.26). This association was limited to cancers diagnosed before age 50 (Odds ratio, 2.79; 95% confidence interval, 1.34–5.81).An increased proportion of ER−&PR− breast cancer was observed among younger Spanish women with a family history of the disease

Association between select breast cancer risk factors and hormone receptor status.

1<p>Results were estimated from case-only logistic regressions with adjustment for age at diagnosis.</p

Family history and breast cancer hormone receptor status by age at diagnosis.

1<p>Subjects with missing information of ER, PR, or family history were removed from analyses.</p>2<p>Results were estimated from case-only logistic regressions with adjustment for age at diagnosis.</p

Clinicopathological, Karyometric, and Immunohistochemical Characteristics of Breast Cancer Cases and by ER and PR status.

1<p>Ps for categorical variables were estimated from χ² tests. P for the comparison of median ages was esimated from Wilcoxon Rank-Sum test and Ps for other continuous variables were estimated from t-tests.</p>2<p>Histology, lymph node metastasis, grade, MIB1, P53 expression and DNA ploidy index, were unknown for 2, 7, 106, 121, 230 and 1 cases, respectively.</p>3<p>Data on nuclear are, perimeter and DNA shape were available for only 353 cases.</p>4<p>Mean ±standard deviation.</p

Clinicopathological, karyometric, and immunohistochemical characteristics of breast cancer by family history.

1<p>Ps for categorical variables were estimated from χ² tests. P for the comparison of median ages was esimated from Wilcoxon Rank-Sum test and Ps for other continuous variables were estimated from t-tests.</p>2<p>Histology, lymph node metastasis, grade, MIB1, P53 expression and DNA ploidy index were unknown for 11, 48, 2, 7, 106, 121, 230 and 1 cases, respectively.</p>3<p>Data on nuclear are, perimeter and DNA shape were available for only 353 cases.</p>4<p>Mean ±standard deviation.</p

Family history and breast cancer subtypes further stratified by DNA ploidy.

1<p>Subjects with missing information of ER, PR, or family history were removed from analyses.</p>2<p>Results were estimated from case-only logistic regressions with adjustment for age at diagnosis.</p

Global data on earthworm abundance, biomass, diversity and corresponding environmental properties

Data collated from data provided by original data collectors or from data provided within published articles. The MetaData.csv provides information on each of the original data sources, including bibliographic information about the original article and information on how many sites were sampled. The SiteData.csv gives site-level variables, such as geographic coordinates, the environmental parameters as well as site-level community metrics (species richness, total abundance and total biomass). The SppOccData.csv provides the observation level data - the occurrence, abundance and/or biomass of individual species/morpho-species/life-stage at a particular site. Not every data source contained such observation level data. Metadata information about the variables in each file are provided in the files MetaData_info.csv, SiteData_info.csv and SppOccData_info.csv, respectively. All files provided use the character encoding UTF-8, and missing values are represented by "NA"

Global distribution of earthworm diversity

Soil organisms, including earthworms, are a key component of terrestrial ecosystems. However, little is known about their diversity, their distribution, and the threats affecting them. We compiled a global dataset of sampled earthworm communities from 6928 sites in 57 countries as a basis for predicting patterns in earthworm diversity, abundance, and biomass. We found that local species richness and abundance typically peaked at higher latitudes, displaying patterns opposite to those observed in aboveground organisms. However, high species dissimilarity across tropical locations may cause diversity across the entirety of the tropics to be higher than elsewhere. Climate variables were found to be more important in shaping earthworm communities than soil properties or habitat cover. These findings suggest that climate change may have serious implications for earthworm communities and for the functions they provide

Global distribution of earthworm diversity

International audienceSoil organisms, including earthworms, are a key component of terrestrial ecosystems. However, little is known about their diversity, distribution, and the threats affecting them. Here, we compiled a global dataset of sampled earthworm communities from 6928 sites in 57 countries to predict patterns in earthworm diversity, abundance, and biomass. We identified that local species richness and abundance typically peaked at higher latitudes, patterns opposite to those observed in aboveground organisms. However, diversity across the entirety of the tropics may be higher than elsewhere, due to high species dissimilarity across locations. Climate variables were more important in shaping earthworm communities than soil properties or habitat cover. These findings suggest that climate change may have serious implications for earthworm communities and therefore the functions they provide