Computational and Molecular Prevention
- DKFZ Hector Cancer Institute
- Epidemiology, Public Health, Prevention and Survivorship
Prof. Dr. Angela Teresa Filimon Goncalves
Group Leader
Our group aims to understand how mutant clones arise and expand during the stages preceding the development of malignancy. We combine experimental approaches with bioinformatic analyses and statistical modelling to study these early stages, with a long-term view of improving early detection of cancer.
Our Research
The Computational and Molecular Prevention group uses big data omics to develop a quantitative mechanistic understanding of normal tissue ageing and early carcinogenesis with the ultimate aim of defining novel strategies for prevention and early detection of epithelial cancers.
To date, concepts from established tumours, such as “driver” mutations or tumour expression markers, have not translated into useful biomarkers for prevention, but there are exciting opportunities to revolutionise the approach to pre-invasive disease by applying knowledge of its molecular characteristics. The unique proposition of the group is to perform extensive longitudinal and spatial sampling of normally ageing and pre-malignant tissue biopsies from cancer- sensitive and cancer-resistant animal models and humans, to provide insight into premalignant evolutionary trajectories and predict the occurrence, pace, and prognosis of a future malignancy.