Despite advances in early detection and treatment improving patient survival, the burden of cancer on patients and health systems is steadily growing. Importantly, risk assessment and prognostication of cancer still remain a clinical challenge, warranting new avenues of research. Large-scale genetic studies have recently demonstrated that diverse germline factors influence cancer risk. With the emergence of extensive datasets combining genetic, clinical, and other omics data in a longitudinal setting, this project aims to study germline influences on cancer characteristics and prognosis, and response to cancer therapy. The findings may have broad translational potential by improving our understanding of cancer etiology and subgroups, and by helping to identify new therapeutical targets and optimize cancer therapy based on individual genetic factors. The project also aims to facilitate the development of genetic risk prediction tools to guide short- and long-term outcome prediction.

2023

2027