75 research outputs found

    FAIR principles of health sciences research data management

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    Introduction: Open data for the validation and generalization of research results as well as the recycling of datasets is a felt need in healthcare. Objective: to describe the FAIR principles for research data management. Method: a search in the Scopus, SciELO, Redalyc and PubMed/MedLine databases for gathering information was carried out applying a formula with the combined use of terms and Boolean operators. The terms "Open data", "research data", and "FAIR" were used. Development: Open data mean a breakthrough in information sciences, and even in health field has made progress in the last decade. It is not enough just to produce and share data, they must comply a set of principles for digitalizing, reproducing and recycling. FAIR data seek to achieve findable, accessible, interoperable and reusable datasets, as well as the elimination of cultural, socioeconomic and technical barriers. The FAIR principles application in health sciences allows a better use of resources avoiding the replication of research with negative results, granting the reuse of data and the generalization of results by combining them. Conclusions: the FAIR principles seek to strengthen open science, eliminate barriers, for developing infrastructures, protocols and data policies. The application in health sciences is of great value, as constitute a powerful tool for improving research and care practices

    Gliomas difusos en áreas elocuentes: avances diagnósticos y terapéuticos

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    Objetivo: presentar los avances diagnósticos, moleculares y radiológicos, así como en las estrategias terapéuticas para gliomas difusos en los últimos 5 años (2018-2023) en la Fundación Universitaria de Ciencias de la Salud (FUCS), Bogotá D.C., Colombia. Materiales y métodos: se describen las técnicas diagnósticas y terapéuticas utilizadas para gliomas difusos con casos ilustrativos. Resultados: se muestran los avances de las herramientas diagnósticas y terapéuticas para el manejo de gliomas difusos. Discusión: en los últimos 5 años se ha avanzado en la clasificación, diagnóstico y tratamiento de los gliomas difusos, gracias a los avances tecnológicos como los marcadores moleculares, la tractografía y la fusión de imágenes para la neuronavegación y las técnicas de estimulación cortical. Esto ha permitido que el tratamiento de los pacientes con dichos tumores mejore la tasa de morbilidad, la calidad de vida libre de enfermedad y la supervivencia global. Conclusiones: las técnicas de diagnóstico como la tractografía, la fusión integral de imágenes intraoperatorias y el mapeo cerebral electrofisiológico con estimulación cortical y subcortical han mejorado el diagnóstico y tratamiento de los gliomas difusos

    Strengthening Supersalud is a priority to guarantee the fundamental right to health

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    El fortalecimiento técnico de la Superintendencia Nacional de Salud (SuperSalud), ente de inspección, vigilancia y control del Sistema General de Seguridad Social en Salud de Colombia, es necesario. Para tal fin, se propone el uso eficiente de los sistemas de información, que permita la toma de decisiones en política pública y que garantice el derecho fundamental de la salud.The technical strengthening of the National Superintendence of Health, an inspection, surveil-lance and control entity of the General System of Social Security in Health of Colombia, is nec-essary. For this, the efficient implementation of information systems will allow decision-making in public policy that guarantees the fundamental right to health.https://orcid.org/0000-0003-4579-6033Revista Nacional - IndexadaN

    The Role of miR-107 in Prostate Cancer: A Review and Experimental Evidence

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    Over the past two decades, several research groups have focused on the functioning of microRNAs (miRNAs), because many of them function as positive or negative endogenous regulators of processes that alter during the development of cancer. Prostate cancer is the second most commonly occurring cancer in men. New biomarkers are needed to support the diagnosis of prostate cancer. Although it is necessary to deepen the research on this molecule to explore its potential utility in the diagnosis, follow-up, and prognosis of cancer, our results support a role of miR-107 in the signaling cascades that allow cancer progression, and as shown here, in the progression of Prostate Cancer (PCa). These findings strongly suggest that miR-107 may be a potential circulating biomarker for the diagnosis and prognosis of prostate cancer

    Genotyping squamous cell lung carcinoma in Colombia (Geno1.1-CLICaP)

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    Background: Lung cancer is a public health problem, and squamous cell carcinoma (SCC) is the second most prevalent subtype of this neoplasm. Compared to other subtypes, including adenocarcinoma, SCC is less well understood in terms of molecular pathogenesis, limiting therapeutic options among targeted agents approved for other disease subgroups. In this study, we sought to characterize the SCC genomic profile using a validated Next Generation Sequencing (NGS) platform. Methods: The comprehensive NGS assay (TruSight Tumor 170) was used in order to target the full coding regions of 170 cancer-related genes on SCC samples. PD-L1 expression in tumor cells (TCs) was assessed using clone 22C3 (Dako). Clinical outcomes were correlated with molecular profile, including progression free survival (PFS), overall response rate (ORR), and overall survival (OS). Results: A total of 26 samples were included, median age was 67 years (r, 33–83) and 53.8% were men. Tobacco consumption was identified in all subjects (mean 34-year package). For first-line treatment 80.8% of patients received cisplatin or carboplatin plus gemcitabine. In terms of molecular profile, we identified a high prevalence of inactivating mutations in TP53 (61.5%), PIK3CA (34.6%), MLL2 (34.6%), KEAP1 (38.4%), and NOTCH1 (26.9%). PD-L1 expression ranged from negative, 1, 2–49, and ≥50% in 23.1, 38.5, 26.9, and 11.5%, respectively. Interestingly, the genetic alterations did not have an effect in PFS, OS or ORR in this study. However, PDL1 expression was higher among those who had mutations in TP53 (p = 0.037) and greater expression of PDL1 was related to PIK3CA alterations (p = 0.05). Conclusions: The genomic profile of SCC encompasses important genes including TP53, PIK3CA and KEAP1. TP53 mutations could be associated with PDL1 expression, generating hypothesis regarding specific treatment options

    Genome-wide association analysis of dementia and its clinical endophenotypes reveal novel loci associated with Alzheimer's disease and three causality networks : The GR@ACE project

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    Introduction: Large variability among Alzheimer's disease (AD) cases might impact genetic discoveries and complicate dissection of underlying biological pathways. Methods: Genome Research at Fundacio ACE (GR@ACE) is a genome-wide study of dementia and its clinical endophenotypes, defined based on AD's clinical certainty and vascular burden. We assessed the impact of known AD loci across endophenotypes to generate loci categories. We incorporated gene coexpression data and conducted pathway analysis per category. Finally, to evaluate the effect of heterogeneity in genetic studies, GR@ACE series were meta-analyzed with additional genome-wide association study data sets. Results: We classified known AD loci into three categories, which might reflect the disease clinical heterogeneity. Vascular processes were only detected as a causal mechanism in probable AD. The meta-analysis strategy revealed the ANKRD31-rs4704171 and NDUFAF6-rs10098778 and confirmed SCIMP-rs7225151 and CD33-rs3865444. Discussion: The regulation of vasculature is a prominent causal component of probable AD. GR@ACE meta-analysis revealed novel AD genetic signals, strongly driven by the presence of clinical heterogeneity in the AD series

    Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

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    Funder: Funder: Fundación bancaria ‘La Caixa’ Number: LCF/PR/PR16/51110003 Funder: Grifols SA Number: LCF/PR/PR16/51110003 Funder: European Union/EFPIA Innovative Medicines Initiative Joint Number: 115975 Funder: JPco-fuND FP-829-029 Number: 733051061Genetic discoveries of Alzheimer's disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer's disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer's disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer's disease

    New insights into the genetic etiology of Alzheimer's disease and related dementias

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    Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele
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