Genomic-driven nutritional interventions for radiotherapy-resistant rectal cancer patient.

ABSTRACT: Radiotherapy response of rectal cancer patients is dependent on a myriad of molecular mechanisms including response to stress, cell death, and cell metabolism. Modulation of lipid metabolism emerges as a unique strategy to improve radiotherapy outcomes due to its accessibility by bioactive molecules within foods. Even though a few radioresponse modulators have been identified using experimental techniques, trying to experimentally identify all potential modulators is intractable. Here we introduce a machine learning (ML) approach to interrogate the space of bioactive molecules within food for potential modulators of radiotherapy response and provide phytochemically-enriched recipes that encapsulate the benefits of discovered radiotherapy modulators. Potential radioresponse modulators were

SUBMITTER: Southern J 

PROVIDER: S-EPMC10491580 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature