Precision Nutrition and Aging Cancer
The aim of the Precision Nutrition and Cancer Program consists on including Precision Nutrition based on scientific evidence as an efficient complementary therapeutic approach for cancer patients.
This Group closely collaborates with the Clinical Oncology Group to identify biomarkers and analyze from a molecular and clinical point of view the effect of bioactive compounds and personalized strategies focused on the implementation of a Precision Nutrition that potentiates cancer treatments and promotes the quality of life of cancer patients. In this area we are currently conducting two different clinical trials, one in colon cancer patients taking a specific supplement with potencial therapeutic activity and the other one included in a multicentric study analyzing the clinical relevance of nutritional habits in breast cancer patients.
In the last few years immunotherapy has become an important part of cancer treat- ment. Immunotherapy is treatment that uses certain parts of a person’s immune system to fight cancer, i.e. stimulating your own immune system to efficiently attack cancer cells. This Group aims at developing immunonutritional-based precision intervention strate- gies to selectively modulate innate immune responses. This research group has contributed to establish physiologically-based new tools to model human diseases evaluating food safety aspects. Additionally, there were provided significant patents and contributions demonstrating the potential selective modulation of innate im-munity’s amplitude of signaling within the neuro-immunometabolic axis.
Cancer requires a multidisciplinary research including applied mathematics, sta- tistics and computer sciences to integrate the the biological data that has been generated. Genome wide techniques have made essential to create research groups with highspecialized professionals that develop complex analytical strategies to make sense of this large amount of data. The nutrition field is not stranger to these advances and new comprehensive models with a high computational load are being required to understand the complexity of the relationships between food, genes and health. Therefore, Computational Biology is essential for the future of precision and personalized nutrition strategies based on individual molecular characteristics improving the wellbeing of the inhabitants and increasing the life expectancy.