Publications by authors named "J O Raedler"

Background: Germany is challenged by an increasing shortage in general practice services, especially in non-urban areas. Task shifting from general practitioners (GPs) to other health professionals may improve practice efficiency to address this mismatch.

Objectives: Exploring GPs' motives and beliefs towards task shifting in non-urban Germany and identifying potential factors influencing these.

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Background And Objective: Quantity and the spatial relationship of specific immune cell types can provide prognostic information in bladder cancer. The objective of the study was to characterize the spatial interplay and prognostic role of different immune cell subpopulations in bladder cancer.

Methods: A total of 2463 urothelial bladder carcinomas were immunostained with 21 antibodies using BLEACH&STAIN multiplex fluorescence immunohistochemistry in a tissue microarray format and analyzed using a framework of neuronal networks for an image analysis.

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Introduction: Trophoblast cell surface antigen 2 (TROP2; EpCAM2) is a transmembrane glycoprotein which is closely related to EpCAM (EpCAM; EpCAM1). Both proteins share partial overlapping functions in epithelial development and EpCAM expression but have not been comparatively analyzed together in bladder carcinomas. TROP2 constitutes the target for the antibody-drug conjugate Sacituzumab govitecan (SG; TrodelvyTM) which has been approved for treatment of metastatic urothelial carcinoma by the United States Food and Drug administration (FDA) irrespective of its TROP2 expression status.

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Hyperactive TLR7 signaling has long been appreciated as driver of autoimmune disease in mouse models. Recently, gain-of-function mutations in TLR7 were identified as a monogenic cause of human lupus. TLR7 is an intracellular transmembrane receptor, sensing RNA breakdown products within late endosomes.

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Article Synopsis
  • RNA-based multi-gene panels for breast cancer risk assessment can be unreliable due to changes in tumor purity, but multiplex fluorescence immunohistochemistry (mfIHC) offers a better solution.
  • A new automated framework using artificial intelligence for breast cancer detection analyzed 1404 invasive breast cancer cases, achieving a 98.4% accuracy in distinguishing between normal and malignant cells.
  • The study found that a combination of five biomarkers (PR, ER, AR, GATA3, PD-L1) was linked to improved overall survival and provided strong prognostic value, making it an effective independent risk factor for breast cancer prognosis.
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