14 research outputs found
Perspectives by patients and physicians on outcomes of mid-urethral sling surgery
Introduction and hypothesis: The aim of this study is to determine patient expectations regarding wanted and unwanted sequels of mid-urethral sling (MUS) procedures and to identify mismatches during the physician-patient information exchange prior to MUS procedures. Methods: A patient preference study (40 patients) and a questionnaire study with 20 experts as control group were conducted. Seventeen different sequels, defined by an expert team, were evaluated. Results: Both patients and expert physicians ranked cure and improvement of stress urinary incontinence as the most important goals of treatment. De novo urge urinary incontinence, requiring post-operative intermittent self-catheterisation and dyspareunia were considered to be the most important complications by patients. Time to resume work after the operation and dyspareunia were among the highest rated sequels in the patient group compared to re-operation and intra-operative complications in the expert group. Conclusions: No differences were found in the five most important outcome parameters. In pre-operative counselling and future clinical trials, time to resume work and dyspareunia should be given more consideration by clinicians
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Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction
Many approaches to identify therapeutically relevant neoantigens couple tumor sequencing with bioinformatic algorithms and inferred rules of tumor epitope immunogenicity. However, there are no reference data to compare these approaches, and the parameters governing tumor epitope immunogenicity remain unclear. Here, we assembled a global consortium wherein each participant predicted immunogenic epitopes from shared tumor sequencing data. 608 epitopes were subsequently assessed for T cell binding in patient-matched samples. By integrating peptide features associated with presentation and recognition, we developed a model of tumor epitope immunogenicity that filtered out 98% of non-immunogenic peptides with a precision above 0.70. Pipelines prioritizing model features had superior performance, and pipeline alterations leveraging them improved prediction performance. These findings were validated in an independent cohort of 310 epitopes prioritized from tumor sequencing data and assessed for T cell binding. This data resource enables identification of parameters underlying effective anti-tumor immunity and is available to the research community