Nutrigenomics: Implications for Breast and Colon Cancer Prevention
Nutrigenomics refers to the interaction between one’s diet and his/her genes. These interactions can markedly influence digestion, absorption, and the elimination of bioactive food components, as well as influence their site of actions/molecular targets. Nutrigenomics comprises nutrigenetics, epigenetics, and transcriptomics, coupled with other “omic,” such as proteomics and metabolomics, that apparently account for the wide variability in cancer risk among individuals with similar dietary habits. Multiple food components including essential nutrients, phytochemical, zoochemicals, fungochemical, and bacterochemicals have been implicated in cancer risk and tumor behavior, admittedly with mixed results. Such findings suggest that not all individuals respond identically to a diet. This chapter highlights the influence of single-nucleotide polymorphism, copy number, epigenetic events, and transcriptomic homeostasis as factors influencing the response to food components and ultimately health, including cancer risk. Both breast and colorectal cancers are reviewed as examples about how nutrigenomics may influence the response to dietary intakes. As the concept that “one size fits all” comes to an end and personalized approaches surface, additional research data will be required to identify those who will benefit most from dietary change and any who might be placed at risk because of an adjustment.
- The Use of Early Sea Urchin Embryos in Anticancer Drug Testing
- Determining Mutational Status of Immunoglobulin V Genes in Chronic Lymphocytic Leukemia: A Useful Prognostic Indicator
- Transforming Growth Factor Beta: A Plasma Tumor Marker
- LDI-PCR: Identification of Known and Unknown Gene Fusions of the Human MLL Gene
- Colony Growth Suppression by Tumor Suppressor Genes
- Detecting and Modulating the NF-kB Activity in Human Immune Cells: Generation of Human Cell Lines with Altered Levels of NF-B
- DNA Sequencing of Cancer-Related Genes for Biomarker Discovery
- Automated Fluorescent Differential Display for Cancer Gene Profiling
- Chromogenic In Situ Hybridization in Tumor Pathology
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