Cancer evolutionary model shedding light on clinical tumor sampling strategies
Cancer is a major cause of death throughout the world and, despite an extraordinary amount of effort and money spent, the eradication or control of advanced disease has not been achieved. Recently, researchers have started to view cancer as an evolutionary process, and this has profound clinical implications for neoplastic progression, cancer prevention and cancer therapy. Several evolutionary models have been proposed to model the evolution of cancer. However, less effort has focused on how to apply these models to clinical practice. In this project, I will use an evolutionary model to guide the practical sampling strategies of tumor, the first step to bridge the gap between a theoretical cancer model and clinical practice.
