Using patient-derived models to systematically identify synergistic drug combinations for advanced prostate cancer

Prostate cancer is a complex disease that is life-threatening for some patients. Every patient’s tumour is unique, resulting in different responses to treatment. Therefore, there is a need to develop new ways to test potential treatments across different types of prostate cancer. Using tumour samples generously donated by patients, this thesis developed new methods for modelling the diversity of prostate cancer. Furthermore, this thesis investigated novel therapeutic strategies, identifying promising candidates that are effective for tumours from a wide range of patients who have failed current treatments.