7 research outputs found

    Increased levels of NETosis biomarkers in high-grade serous ovarian cancer patients’ biofluids: Potential role in disease diagnosis and management

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    Introduction: High-grade serous ovarian cancer (HGSOC) is the second most frequent gynecological malignancy but the most lethal, partially due to the spread of the disease through the peritoneal cavity. Recent evidence has shown that, apart from their role in immune defense through phagocytosis and degranulation, neutrophils are able to participate in cancer progression through the release of neutrophil extracellular traps (NETs) in a process called NETosis. NETs are composed of DNA, histones, calprotectin, myeloperoxidase (MPO) and elastase and the NETosis process has been proposed as a pre-requisite for the establishment of omental metastases in early stages of HGSOC. Nevertheless, its role in advanced stages remains to be elucidated. Therefore, our principal aim is to characterize a NETosis biomarker profile in biofluids from patients with advanced HGSOC and control women. Methods: Specifically, five biomarkers of NETosis (cell-free DNA (cfDNA), nucleosomes, citrullinated histone 3 (citH3), calprotectin and MPO) were quantified in plasma and peritoneal fluid (PF) samples from patients (n=45) and control women (n=40). Results: Our results showed that HGSOC patients presented a higher concentration of cfDNA, citH3 and calprotectin in plasma and of all five NETosis biomarkers in PF than control women. Moreover, these biomarkers showed a strong ability to differentiate the two clinical groups. Interestingly, neoadjuvant treatment (NT) seemed to reduce NETosis biomarkers mainly systemically (plasma) compared to the tumor environment (PF). Discussion: In conclusion, NETosis biomarkers are present in the tumor environment of patients with advanced HGSOC, which might contribute to the progression of the disease. Besides, plasma cfDNA and calprotectin could represent minimally invasive surrogate biomarkers for HGSOC. Finally, NT modifies NETosis biomarkers levels mainly at the systemic level

    Systematic Collaborative Reanalysis of Genomic Data Improves Diagnostic Yield in Neurologic Rare Diseases

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    Altres ajuts: Generalitat de Catalunya, Departament de Salut; Generalitat de Catalunya, Departament d'Empresa i Coneixement i CERCA Program; Ministerio de Ciencia e Innovación; Instituto Nacional de Bioinformática; ELIXIR Implementation Studies (CNAG-CRG); Centro de Investigaciones Biomédicas en Red de Enfermedades Raras; Centro de Excelencia Severo Ochoa; European Regional Development Fund (FEDER).Many patients experiencing a rare disease remain undiagnosed even after genomic testing. Reanalysis of existing genomic data has shown to increase diagnostic yield, although there are few systematic and comprehensive reanalysis efforts that enable collaborative interpretation and future reinterpretation. The Undiagnosed Rare Disease Program of Catalonia project collated previously inconclusive good quality genomic data (panels, exomes, and genomes) and standardized phenotypic profiles from 323 families (543 individuals) with a neurologic rare disease. The data were reanalyzed systematically to identify relatedness, runs of homozygosity, consanguinity, single-nucleotide variants, insertions and deletions, and copy number variants. Data were shared and collaboratively interpreted within the consortium through a customized Genome-Phenome Analysis Platform, which also enables future data reinterpretation. Reanalysis of existing genomic data provided a diagnosis for 20.7% of the patients, including 1.8% diagnosed after the generation of additional genomic data to identify a second pathogenic heterozygous variant. Diagnostic rate was significantly higher for family-based exome/genome reanalysis compared with singleton panels. Most new diagnoses were attributable to recent gene-disease associations (50.8%), additional or improved bioinformatic analysis (19.7%), and standardized phenotyping data integrated within the Undiagnosed Rare Disease Program of Catalonia Genome-Phenome Analysis Platform functionalities (18%)

    New roles for old friends: Involvement of the innate immune system in tumor progression

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    The identification of various innate immune system effectors in the TME has prompted researchers to investigate their role in tumor progression and metastasis, leading to the development of potential targeted therapies. Undoubtedly, this field is in constant development and much remains to be unraveled. Therefore, we encourage researchers to share their latest findings in this promising field related to the management of oncologic disorders

    New Roles for Old Friends: Involvement of the Innate Immune System in Tumor Progression

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    The association between the immune system and tumor progression has attracted much interest in the research community in recent years [...

    Coordinación, seguimiento y mejora continua del Máster Universitario en Gestión de la Edificación

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    El estudio llevado a cabo, se centra en la coordinación, seguimiento y acciones de mejora llevadas a cabo en el Máster en Gestión de la Edificación a partir del informe de acreditación realizado por la AVAP. Cada curso académico, teniendo como base dicho informe, se implementan unas tareas de seguimiento y coordinación del Máster que permitan proponer acciones de mejora en la calidad del mismo. Para ello, se analiza el desarrollo del plan de estudios, sus dificultades metodológicas, y la coherencia entre las mismas. Se realiza un estudio de los diferentes indicadores de calidad utilizados por las agencias de acreditación, analizando las tasas relacionadas con el profesorado y las tasas de rendimiento con el fin de poder valorar su adecuación o no, y en función de los resultados obtenidos proponer acciones de mejora. A partir del análisis de resultados, y teniendo como base el informe de la acreditación realizado por la AVAP, se plantean medidas de mejora a implantar por el Máster, que son realizadas cada curso académico dentro del plan de acciones de mejora del SGIC, analizando el estado de dichas medidas y los indicadores de calidad destacados en el Informe de Evaluación Provisional de Seguimiento del Máster por la AVAP
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