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Browse 1,169 clinical trials for ovarian cancer. Find studies that match your criteria and connect with research centers.
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NCT03339765
Self-advocacy, defined as the ability of a patient to get her needs and priorities met in the face of a challenge, is an essential skill but not all women with advanced cancer are able to do it. We want to instruct women with advanced cancer who have low self-advocacy to self-advocate for their health and well-being. We will test a new "serious game" or video program that teaches self-advocacy skills through interactive, situation-based activities. The goal of the Strong Together serious game is to engage participants in challenges commonly experienced by women with advanced cancer, offer them choices to self-advocate or not, and directly show them the health and social benefits of self-advocating and the negative consequences of not self-advocating. Through engaging in the Strong Together program, participants vicariously learn the essential skills of self-advocacy, understand the downstream effects of using or not using these skills, and learn distinct behaviors that they can then use to address their own challenges.
NCT05931055
At present, there is a lack of effective screening methods. It is urgent to explore new non-invasive detection methods for early diagnosis of epithelial ovarian cancer and non-invasive differentiation methods for benign and malignant ovarian tumors. Liquid biopsy technology has great potential for early screening of tumors. The fragmentation patterns of cfDNA fragments in plasma and the uneven coverage of the genome can indirectly reflect the state of gene expression regulation in vivo. Its characteristics mainly include copy number variation (CNV), Nucleosome footprint, fragment length and motif. The number of proteins in a proteome can sometimes exceed the number of genomes. It includes "structural Proteomics" and "functional Proteomics". At present, research has explored the use of urinary protein biomarkers for early diagnosis of gastric cancer. "Deep Visual Proteomics (DVP)" reveals the mechanism driving tumor evolution and new therapeutic targets for tumors. Using the currently mature low depth WGS sequencing technology, this study aims to explore its clinical application in the differentiation and early screening of epithelial ovarian cancer, as well as monitoring the course of epithelial ovarian cancer, including the detection of minimal residual lesions (MRD) and monitoring of recurrence (MOR). This study also explores the role of urine proteomics in the differentiation of benign and malignant ovarian tumors, early screening and invasiveness of epithelial ovarian cancer, and monitoring the course of epithelial ovarian cancer.