Cancer patients may develop a syndrome called cachexia, in which there is a great loss of skeletal muscle mass and it is linked to a pessimistic prognosis. One hypothesis is that epigenetic factors, such as physical conditioning, could influence the evolution of this syndrome. The cancer metabolism group of the Institute of Biomedical Sciences of USP, headed by Prof. Dr. Marília Seelaender, has performed several experiments to test this assertion, from clinical examinations to DNA sequencing of human patients. The massive amount of the obtained data makes it necessary to apply computational methods for statistical analysis. In this project, machine learning techniques will be implemented in order to identify markers that may aid in the early diagnosis of cachexia in cancer patients, in addition to identifying possible epigenetic factors that may influence the prognosis of the disease.
News published in Agência FAPESP Newsletter about the scholarship: