64 Can chemotherapy change tumor BRCA status and affect susceptibility to treatment?

n/

Techniques, Tricks, and Stratagems of Oral Cavity Computed Tomography and Magnetic Resonance Imaging

The oral cavity constitutes a complex anatomical area that can be affected by many devel-opmental, inflammatory, and tumoural diseases. MultiSlice Computed Tomography (MSCT) and Magnetic Resonance Imaging (MRI) currently represent the essential and complementary imaging techniques for detecting oral cavity abnormalities. Advanced MRI with diffusion-weighted imaging (DWI) and dynamic contrast-enhanced perfusion-weighted imaging (DCE-PWI) has recently increased the ability to characterise oral lesions and distinguish disease recurrences from post therapy changes. The analysis of the oral cavity area via imaging techniques is also complicated both by mutual close appositions of different mucosal surfaces and metal artifacts from dental materials. Nevertheless, an exact identification of oral lesions is made possible thanks to dynamic manoeuvres and specific stratagems applicable on MSCT and MRI acquisitions. This study summarises the currently available imaging techniques for oral diseases, with particular attention to the role of DWI, DCE-PWI, and dynamic manoeuvres. We also propose MSCT and MRI acquisition protocols for an accurate study of the oral cavity area

Proposals for Innovation and Improvement of the Quality of Life in Caprine Pastoralist Communities of Subsistence in the Monte Desert, Argentina

In a satisfactory alliance between the main environmental policy organizations and the academy, the National Observatory on Land Degradation and Desertification (ONDTyT) is created. The ONDTyD provides information regarding status and trends of land degradation/desertification in order to promote prevention and mitigation measures used for advising public and private decision-makers in Argentina. It is based in the development of 17 Pilot Sites that constitutes the local level network, providing bio-physical and socio-economic indicators of land degradation. In this network the pilot site of the Monte, the largest dry region of Argentina (Lavalle desert, Mendoza), aims to improve the living conditions of native communities dedicated to subsistence goat farming, located below the poverty line. Precipitation ranges from 80-100 mm/year, strongly affecting productive activities. The proposal includes innovative traits in an area whose natural resources have been devastated. It is framed within a conception of rural territory development generating sustainable development strategies of rural indigenous communities, improve the status of the ecosystem through an integral management of natural and cultural resources, and improve socioeconomic conditions of inhabitants, compatibilizing ecosystem regeneration with investment in infrastructure and services, diversification of productive activities and generation of employment. An interdisciplinary group designed the proposal and the integrated desertification assessment in the fields with active community participation through their knowledge, land and livestock. The pilot case can be replicated throughout the territory. The work combines participatory and integrated methodologies, showing that the Observatory is a successful example of partnership building between the political and scientific-technological sectors in Argentina

Building the Embrapa rice breeding dataset for efficient data reuse.

Embrapa has led breeding programs for irrigated and upland rice (Oryza sativa L.) since 1977, generating a large amount of pedigree and phenotypic data. However, there were no systematic standards for data recording nor long-term data preservation and reuse strategies. With the new aim of making data reuse practical, we recovered all data available and structured it into the Embrapa Rice Breeding Dataset (ERBD). In its current version, the ERBD includes 20,504 crosses involving 9,974 parents, the pedigrees of most of the 4,532 inbred lines that took part in advanced field trials, and phenotypic data from 2,711 field trials (1,118 irrigated, 1,593 upland trials), representing 226,458 field plots. Those trials were conducted over 38 years (1982-2019), in 247 locations, in latitudes ranging from 3°N to 33°S. Phenotypic traits included grain yield, days to flowering, plant height, canopy lodging, and five important fungal diseases: leaf blast, panicle blast, brown spot, leaf scald, and grain discoloration. The total number of data points surpasses 1.27 million. Descriptive statistics were computed over the dataset, split by cropping systems (irrigated or upland). The mean heritability of grain yield was high for both systems, at around .7, whereas the mean coefficient of variation was 13.9% for irrigated trials and 18.7% for upland trials. The ERBD offers the possibility of conducting studies on different aspects of rice breeding and genetics, including genetic gain, G×E analysis, genome-wide association studies and genomic prediction

High seroprevalence of Helicobacter pylori infection in non-institutionalised children with mental retardation

Eighty-four children with mental retardation (34 boys, 50 girls; age range 2-18 years, median 6 years) and 84 age- and gender-matched outpatient controls were studied. All children were living at home, had never stayed in an institution, and came from the same urban area. Seropositivity for Helicobacter pylori was found in 42 (50%) of 84 mentally retarded children and 16 (19%) of 84 controls (p < 0.01). Socio-economic factors did not differ between the two groups. The findings indicated that a higher prevalence of H. pylori infection occurs in children with mental retardation, regardless of whether they are institutionalised

The Crop Ontology: a source of standard traits and variables for breeding and agronomy

The Crop Ontology is a service of the Integrated Breeding Platform (www.integratedbreeding.net) in collaboration with the CGIAR and partners and under the leadership of Bioversity international. The Crop Ontology (www.cropontology.org) provides harmonized and validated breeders’ trait names, measurement methods, scales for currently 18 crops that are used by the Breeding Management System (BMS). The NextGeneration Breeding Databases developed by Boyce Thompson Institute also embed the Crop Ontology traits. The Crop Ontology contributes to the content of the reference ontologies of the Planteome project (http://www.planteome.org/). A new Trait Dictionary Template was released that now includes the ‘standard variable’. A standard variable is equal to 'one trait+one method+one variable' and a trait can be measured through different variables, according to the method or the scale used. These variables will accurately annotate the measurements stored in the BMS databases and also will support the creation of standard manual or electronic fieldbooks. Ten crop trait dictionaries have already been migrated into this new template and uploaded on the Crop ontology site. Using similar methodology, an Agronomy Ontology is being developed to support combining results of field management practices with crop traits which is important to fully understand the dynamic of varying factors within any cropping system. Curation is currently performed to secure the compliance between the Agronomy ontology and the variables of the International Consortium for Agricultural Systems Applications (ICASA)

Ovarian cancer predisposition beyond BRCA1 and BRCA2 genes

Several genes associated with hereditary ovarian cancer have been discovered as a result of the work done with next generation sequencing. It is estimated that approximately 23% of ovarian carcinomas have a hereditary predisposition. The most common hereditary condition is represented by germline mutations in BRCA1 or BRCA2 genes that account for 20-25% of high grade serous ovarian cancer. A number of other hereditary ovarian cancers are associated with different genes, with a crucial role in the DNA damage response pathway, such as the mismatch repair genes in Lynch syndrome, TP53 in Li-Fraumeni syndrome, STK11 in Peutz-Jeghers syndrome, CHEK2, RAD51, BRIP1, and PALB2. The goal of this manuscript is to summarize the published data regarding the molecular pathways involved in the pathogenesis of non-BRCA related hereditary ovarian cancer and to provide a tool that might be useful in discussing risk assessment, genetic testing, prevention strategies, as well as clinical and therapeutic implications for patients with ovarian cancer