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Nutritional Science Research Group, Division Cancer Prevention, National Cancer Institute, Bethesda, MD 20892
2 To whom correspondence should be addressed. E-mail milnerj{at}mail.nih.gov.
Increasing evidence points to numerous dietary components that modify cancer incidence as well as the biological behavior of tumors. These inhibitory or stimulatory effects depend not only on the dietary component examined, but on a number of factors including the cellular DNA profile (nutrigenetic and nutrigenomic effects), protein formation and regulation (proteomic effect), and the effective delivery of the active intermediate at specific target sites (metabolomic effect). Unfortunately, the diet and cancer research domain is strewn with studies that were inadequately designed to monitor biological endpoints, used invalid biomarkers, or monitored irrelevant intakes or exposures. The scientific frontiers in health risk prediction and disease prevention strategies will greatly expand with the building of reliable nutrition and cancer biomarker databases that use modeling techniques to integrate information about intakes, effect biomarkers, and susceptibility biomarkers. Fundamental to this database will be the elucidation of the specific molecular sites of action (targets) for the specific dietary component. Clustering techniques that build on either genes or ratios of genetic expressions or their products will be needed to assess the merit of a particular dietary intervention. Models are already surfacing about how dietary-induced fluctuations in genes and their expression products can modify pathways associated with carcinogen activation and detoxification, alter rates of cellular proliferation, influence apoptosis, and modify angiogenesis. Embracing new genomic technologies offers exciting opportunities for advancing nutrition, especially those related to cancer prevention. We must effectively communicate, within a responsible bioethical framework, the potential value of knowledge about genes and gene products.
KEY WORDS: nutrigenetics nutrigenomics proteomics metabolomics bioinformatics
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