Normativa para la Cartografía de Peligrosidad Geológica de la República Argentina a Escala 1:250.000

Fil: Fernández, D. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Coppolecchia, M. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Balbi, A.B. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Barber, E.L.G. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Bedmar, J.M. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Boujon, P.S. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Cabrera, N.R. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Chávez, R.A. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Elissondo, M. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Jones, M.E. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Kaufman, J.F. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Pereyra, F.X. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Rosas, M.A. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Róvere, E.I. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Tello, N.E. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Tobío, M.I. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Villegas, D.C. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.Fil: Tejedo, A.G. Servicio Geológico Minero Argentino. Instituto de Geología y Recursos Minerales. Dirección de Geología Ambiental y Peligrosidad Geológica; Argentina.El presente documento constituye la normativa para la realización de las cartas de peligrosidad geológica de la República Argentina. Se trata de elaborar mapas integrados a mediana escala, 1:250.000, que incluyan la información básica necesaria para la estimación de la peligrosidad del territorio, como consecuencia de la actuación de determinados procesos geológicos que pueden suponer riesgos para las personas, infraestructuras y bienes. Así mismo las cartas servirán de orientación para los trabajos de estimación del riesgo geológico. Los mapas tendrán un uso directo para la localización y delimitación de las zonas bajo peligro geológico, e indirecto para los trabajos de ordenación del territorio y de toma de medidas predictivas y preventivas adecuadas, en función del tipo de proceso de que se trate. Con respecto al contenido, los mapas incluirán dos tipos diferentes de información: - Descriptiva: representación de los procesos geológicos actuales o antiguos que afectan o han afectado a personas, edificaciones y obras de infraestructura, y han promovido pérdidas económicas. - Interpretativa: representación de las zonas que pueden verse afectadas por procesos geodinámicos en el futuro, en base a los factores que controlan y condicionan la ocurrencia espacial de los procesos. Esta zonificación indicará la peligrosidad espacial o susceptibilidad del territorio ante la ocurrencia de procesos naturales que pueden constituir amenazas, daños y pérdidas económicas y humanas. La escala de los mapas será 1:250.000, por lo que la información contenida, tanto la descriptiva como la interpretativa, deberá ajustarse a la misma, resultando mapas indicativos de la actividad y potencialidad de peligros naturales. Los procesos geológicos considerados en los mapas serán: - Movimientos de laderas - Hundimientos del terreno - Procesos erosivos y sedimentarios - Inundaciones y anegamientos - Degradación de suelos - Sismicidad - Vulcanismo Este documento incluye las indicaciones y normas generales y particulares para la realización de los mapas

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment

HBM4EU chromates study - Overall results and recommendations for the biomonitoring of occupational exposure to hexavalent chromium

Exposure to hexavalent chromium [Cr(VI)] may occur in several occupational activities, e.g., welding, Cr(VI) electroplating and other surface treatment processes. The aim of this study was to provide EU relevant data on occupational Cr(VI) exposure to support the regulatory risk assessment and decision-making. In addition, the capability and validity of different biomarkers for the assessment of Cr(VI) exposure were evaluated. The study involved nine European countries and involved 399 workers in different industry sectors with exposures to Cr(VI) such as welding, bath plating, applying or removing paint and other tasks. We also studied 203 controls to establish a background in workers with no direct exposure to Cr(VI). We applied a cross-sectional study design and used chromium in urine as the primary biomonitoring method for Cr(VI) exposure. Additionally, we studied the use of red blood cells (RBC) and exhaled breath condensate (EBC) for biomonitoring of exposure to Cr(VI). Personal measurements were used to study exposure to inhalable and respirable Cr(VI) by personal air sampling. Dermal exposure was studied by taking hand wipe samples. The highest internal exposures were observed in the use of Cr(VI) in electrolytic bath plating. In stainless steel welding the internal Cr exposure was clearly lower when compared to plating activities. We observed a high correlation between chromium urinary levels and air Cr(VI) or dermal total Cr exposure. Urinary chromium showed its value as a first approach for the assessment of total, internal exposure. Correlations between urinary chromium , Cr(VI) in EBC and Cr in RBC were low, probably due to differences in kinetics and indicating that these biomonitoring approaches may not be interchangeable but rather complementary. This study showed that occupational biomonitoring studies can be conducted successfully by multi-national collaboration and provide relevant information to support policy actions aiming to reduce occupational expo-sure to chemicals

Integrated Genomic Analysis of the Ubiquitin Pathway across Cancer Types

Protein ubiquitination is a dynamic and reversibleprocess of adding single ubiquitin molecules orvarious ubiquitin chains to target proteins. Here,using multidimensional omic data of 9,125 tumorsamples across 33 cancer types from The CancerGenome Atlas, we perform comprehensive molecu-lar characterization of 929 ubiquitin-related genesand 95 deubiquitinase genes. Among them, we sys-tematically identify top somatic driver candidates,including mutatedFBXW7with cancer-type-specificpatterns and amplifiedMDM2showing a mutuallyexclusive pattern withBRAFmutations. Ubiquitinpathway genes tend to be upregulated in cancermediated by diverse mechanisms. By integratingpan-cancer multiomic data, we identify a group oftumor samples that exhibit worse prognosis. Thesesamples are consistently associated with the upre-gulation of cell-cycle and DNA repair pathways, char-acterized by mutatedTP53,MYC/TERTamplifica-tion, andAPC/PTENdeletion. Our analysishighlights the importance of the ubiquitin pathwayin cancer development and lays a foundation fordeveloping relevant therapeutic strategies

Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

Genetic influences on psychiatric disorders transcend diagnostic boundaries, suggesting substantial pleiotropy of contributing loci. However, the nature and mechanisms of these pleiotropic effects remain unclear. We performed analyses of 232,964 cases and 494,162 controls from genome-wide studies of anorexia nervosa, attention-deficit/hyper-activity disorder, autism spectrum disorder, bipolar disorder, major depression, obsessive-compulsive disorder, schizophrenia, and Tourette syndrome. Genetic correlation analyses revealed a meaningful structure within the eight disorders, identifying three groups of inter-related disorders. Meta-analysis across these eight disorders detected 109 loci associated with at least two psychiatric disorders, including 23 loci with pleiotropic effects on four or more disorders and 11 loci with antagonistic effects on multiple disorders. The pleiotropic loci are located within genes that show heightened expression in the brain throughout the lifespan, beginning prenatally in the second trimester, and play prominent roles in neurodevelopmental processes. These findings have important implications for psychiatric nosology, drug development, and risk prediction.Peer reviewe