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Translation of nutrigenomic research for personalised and precision nutrition for cancer prevention and for cancer survivors

Lookup NU author(s): Dr Fiona MalcomsonORCiD, Professor John Mathers



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


© 2023 The AuthorsPersonalised and precision nutrition uses information on individual characteristics and responses to nutrients, foods and dietary patterns to develop targeted nutritional advice that is more effective in improving the diet and health of each individual. Moving away from the conventional ‘one size fits all’, such targeted intervention approaches may pave the way to better population health, including lower burden of non-communicable diseases. To date, most personalised and precision nutrition approaches have been focussed on tackling obesity and cardiometabolic diseases with limited efforts directed to cancer prevention and for cancer survivors. Advances in understanding the biological basis of cancer and of the role played by diet in cancer prevention and in survival after cancer diagnosis, mean that it is timely to test and to apply such personalised and precision nutrition approaches in the cancer area. This endeavour can take advantage of the enhanced understanding of interactions between dietary factors, individual genotype and the gut microbiome that impact on risk of, and survival after, cancer diagnosis. Translation of these basic research into public health action should include real-time acquisition of nutrigenomic and related data and use of AI-based data integration methods in systems approaches that can be scaled up using mobile devices.

Publication metadata

Author(s): Malcomson FC, Mathers JC

Publication type: Article

Publication status: Published

Journal: Redox Biology

Year: 2023

Volume: 62

Print publication date: 01/06/2023

Online publication date: 22/04/2023

Acceptance date: 21/04/2023

Date deposited: 26/06/2023

ISSN (electronic): 2213-2317

Publisher: Elsevier B.V.


DOI: 10.1016/j.redox.2023.102710


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