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Ovarian cancer can be dangerous as it does not show symptoms until it reaches advanced stages in some cases when there is little that can be done except provide relief only. This research aims at determining how unknown genes contribute towards Epithelial Ovarian Cancer (EOC), studying their molecular biology modes of action, significance and if they can be used for therapeutic purposes. We hypothesize that there are currently unidentified key genes that play critical roles in the development and progression of epithelial ovarian cancer . These uncharacterized genetic factors likely contribute significantly to the complexity of the disease. By uncovering these elusive genes, we expect to gain important insights into the underlying mechanisms driving EOC pathogenesis. Using publicly available CRISPR datasets through the Cancer Dependency Map, my study reveals promising new pathways for precision medicine, offering hope for more effective treatments and improved patient outcomes. Finding and describing these genes could help create new treatments that work better and help patients more. Also, this research might uncover new ways to spot EOC letting doctors treat it sooner and save more lives. What we learn about how EOC works at a tiny level can help doctors pick the right treatment for each patient based on their genes. In the end, what we find out could help us understand ovarian cancer better. This could lead to new ways to treat it and take care of patients.
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Preesha Kothari (2024) studied this question.
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