"This project is a training-through-research project that aims to describe the global evolution of cancer in the ageing societies using international comparison studies. Three theories have been proposed to explain the dynamics of ageing populations: compression of morbidity, expansion of morbidity, and dynamic equilibrium. Yet, these theories have never been applied to understand the evolution of cancer, a disease that occurs primarily at old age. Using global databases, I will assess the population impact of changes in longevity and duration of morbidity among patients with cancer. I hypothesize that increases in life expectancy after cancer diagnosis have primarily led to expansion (longer time spent with disease before death) rather than compression of years lived with illness and disability. Life table analysis weighted for severity of cancer types to derive disability-adjusted life expectancy will be used to assess the evolution of cancer in ageing societies. This is the first study to apply the dynamics of aging population theories to unravel how cohort of cancer patients can be expected to evolve after survival. The study will also provide an important base for applying these theories in the aging theories in general and to solve health care issues pertinent to this frail population.Parallel to the scientific activities aimed to describe the dynamic of ageing among cancer patients, this project will provide various training opportunities to increase my competence in analysing large databases, in communication and teaching, in writing scientific articles and it will also substantially increase my collaborative network. The combination of renowned scholars with the available resources and access to international networks makes the host institution (International Agency for Research on Cancer) the best place to spend a mobility period to carry on this project. It will also significantly benefit my future career development."