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Modulation of Intracellular Second Messengers by Dietary Fat during Colonic Tumor Development

  • Robert S. Chapkin
  • Yi-Hai Jiang
  • Laurie A. Davidson
  • Joanne R. Lupton
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 422)

Abstract

Marked differences in the incidence of colon cancer in populations migrating from low to high risk areas suggest that environmental factors, specifically dietary factors, play an important role in the etiology of colon cancer.1,2 Dietary fat has received considerable attention as a possible risk factor in the etiology of colon cancer. A proposed hypothesis regarding the induction of colon cancer suggests that fats increase the amount of bile acids in the colon, which in turn are metabolized to secondary carcinogens to promote the growth of adenomas and subsequently invasive cancer.3 Moreover, the amount and type of fat in the diet directly affects the concentration of free fatty acids, eicosanoids and diacylglycerols in the colonic lumen which can influence colonic intracellular second messengers and modify the risk of colon cancer development.4,5,26,93 In comparison, dietary fiber is postulated to reduce the adverse effects of certain fats through several mechanisms, including dilution of carcinogens, decrease in transit time, reduction in fecal pH, chemical binding, and alteration in microflora metabolism6,7. However, experiments in animal models using a variety of fats and fibers have produced conflicting results. In some studies, fiber failed to protect,8,9 and in others, fat failed to promote colon carcinogenesis.10 The interpretation of this data is made even more complicated by the fact that different types of dietary fiber and fat may affect colon carcinogenesis in an interactive site-specific manner.11

Keywords

Colon Cancer Polyunsaturated Fatty Acid Phorbol Ester Colon Tumorigenesis Colon Cancer Development 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Robert S. Chapkin
    • 1
    • 2
  • Yi-Hai Jiang
    • 1
  • Laurie A. Davidson
    • 1
  • Joanne R. Lupton
    • 1
  1. 1.Faculty of Nutrition and Molecular and Cell Biology GroupTexas A&M UniversityCollege StationUSA
  2. 2.442 Kleberg CenterTexas A&M UniversityCollege StationUSA

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