6 research outputs found

    A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases

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    A major evolution from purely clinical diagnoses to biomarker supported clinical diagnosing has been occurring over the past years in neurology. High-throughput methods, such as next-generation sequencing and mass spectrometry-based proteomics along with improved neuroimaging methods, are accelerating this development. This calls for a consensus framework that is broadly applicable and provides a spot-on overview of the clinical validity of novel biomarkers. We propose a harmonized terminology and a uniform concept that stratifies biomarkers according to clinical context of use and evidence levels, adapted from existing frameworks in oncology with a strong focus on (epi)genetic markers and treatment context. We demonstrate that this framework allows for a consistent assessment of clinical validity across disease entities and that sufficient evidence for many clinical applications of protein biomarkers is lacking. Our framework may help to identify promising biomarker candidates and classify their applications by clinical context, aiming for routine clinical use of (protein) biomarkers in neurology

    High expression of estrogen receptor alpha and aromatase in glial tumor cells is associated with gender-independent survival benefits in glioblastoma patients

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    Introduction!#!Glioblastoma multiforme (GBM) is a highly malignant glial tumor, affecting men more often than women. The reason for this gender-specific predominance remains unclear, raising the question whether these effects are subject to hormonal control. The purpose of this study was to examine the expression of estrogen receptor alpha (ERα) and aromatase in human GBM tissue samples in relation to patient survival and furthermore to investigate the effect of standard chemotherapy in combination with estradiol treatment on glioblastoma tumor cell lines in vitro.!##!Methods!#!60 tissue samples (31 male, 29 female) of GBM patients were analysed with immunohistochemistry for ERα and aromatase for survival analyses. The cell lines LN18 and LN229 were treated with 17β-estradiol (E2) in different dosing regimens and the cell viability was measured with MTT assay. After estradiol pre-treatment Temozolomide was added and tested again.!##!Results!#!High expression of ERα and aromatase in the GBM tissue samples was associated with significantly longer survival times of GBM patients, regardless of gender and body-mass-index. The treatment with high concentrations of estradiol resulted in lower tumor cell viability, compared to control. The cells significantly showed a stronger sensitivity against Temozolomid (TMZ) after estradiol pre-treatment.!##!Conclusion!#!ERα-expression of glial tumour cells seems to play an important prognostic role as a biomarker in GBM, as well as the expression of the enzyme Aromatase. The combined treatment of GBM with standard chemotherapy and estradiol may be beneficial to patient's survival

    Is German Medical Education Research on the rise? An analysis of publications from the years 2004 to 2013

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    Objectives: The point of departure for the present work is the observation that, in comparison with Anglo-American countries or the Netherlands, Germany was responsible for only a marginal number of international publications in the field of medical education research before 2004. Recent years, however, have seen an increase in the importance of medical education research in Germany. The objective of this article is to evaluate the extent to which this trend can be substantiated by increased German publishing activity since the year 2004 in international, English-language journals in the subject area of “medical education research”. Methods: In the framework of a literature and content analysis, German-author articles from the years 2004 to 2013 in six international, English-language medical education research journals were evaluated. In order to obtain an overview of German research activity in this area, all project and original works with German first and last authors were identified and subjected to a more in-depth content analysis. Results: In total, 10,055 articles were examined. The evaluation shows that between the years 2004 and 2013 179 articles (of which 145 are project or original works) by German authors were published in the journals examined. Fluctuations over the course of time were evidenced. The project and original works are primarily cross-sectional studies (27.8%) and randomised control studies (25.6%) on the subject of “teaching and learning methods” (43.6%). Conclusions: In comparison with the years 2004-2008, a significant rise can be seen in the number of publications by German education researchers in international journals since the year 2009

    A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases

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    A major evolution from purely clinical diagnoses to biomarker supported clinical diagnosing has been occurring over the past years in neurology. High-throughput methods, such as next-generation sequencing and mass spectrometry-based proteomics along with improved neuroimaging methods, are accelerating this development. This calls for a consensus framework that is broadly applicable and provides a spot-on overview of the clinical validity of novel biomarkers. We propose a harmonized terminology and a uniform concept that stratifies biomarkers according to clinical context of use and evidence levels, adapted from existing frameworks in oncology with a strong focus on (epi)genetic markers and treatment context. We demonstrate that this framework allows for a consistent assessment of clinical validity across disease entities and that sufficient evidence for many clinical applications of protein biomarkers is lacking. Our framework may help to identify promising biomarker candidates and classify their applications by clinical context, aiming for routine clinical use of (protein) biomarkers in neurology
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