CORDIS Project
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This project investigates the role of copy number variations in high-grade serous ovarian cancer to understand treatment resistance. By using advanced machine learning techniques on patient samples, it aims to identify specific genetic profiles that influence tumor behavior and treatment response, ultimately leading to…
High-grade serous ovarian cancer (HGSOC), which is the most aggressive type of ovarian cancer, is characterized by the mutation of gene TP53 and extensive copy number variations (CNVs). HGSOC tumors typically show an initial favourable response to standard treatments, however they often acquire resistance and relapse.
Currently, there is a need for new therapeutic approaches to combat emerging drug-resistant subpopulations.
Although, the scarcity of common targetable oncogenic mutations has comp…
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