Literature DB >> 30511901

Personalized Nutrition in Disrupting Cancer - Proceedings From the 2017 American College of Nutrition Annual Meeting.

Taylor C Wallace1,2, Scott Bultman3, Chris D'Adamo4, Carrie R Daniel5, Justine Debelius6, Emily Ho7, Heather Eliassen8,9, Dawn Lemanne10,11,12, Purna Mukherjee13, Thomas N Seyfried13, Qiang Tian14, Linda T Vahdat15.   

Abstract

Cancer is a major public health problem and is the second leading cause of death in the United States and worldwide; nearly one in six deaths are attributable to cancer. Approximately 20% of all cancers diagnosed in the United States are attributable to unhealthy diet, excessive alcohol consumption, physical inactivity, and body fatness. Individual cancers are distinct disease states that are multifactorial in their causation, making them exceedingly cumbersome to study from a nutrition standpoint. Genetic influences are a major piece of the puzzle and personalized nutrition is likely to be most effective in disrupting cancer during all stages. Increasing evidence shows that after a cancer diagnosis, continuing standard dietary recommendations may not be appropriate. This is because powerful dietary interventions such as short-term fasting and carbohydrate restriction can disrupt tumor metabolism, synergizing with standard therapies such as radiation and drug therapy to improve efficacy and ultimately, cancer survival. The importance of identifying dietary interventions cannot be overstated, and the American College of Nutrition's commitment to advancing knowledge and research is evidenced by dedication of the 2017 ACN Annual Meeting to "Disrupting Cancer: The Role of Personalized Nutrition" and this resulting proceedings manuscript, which summarizes the meeting's findings.

Entities:  

Keywords:  American College of Nutrition; Cancer; nutrition; scientific statement

Mesh:

Year:  2018        PMID: 30511901     DOI: 10.1080/07315724.2018.1500499

Source DB:  PubMed          Journal:  J Am Coll Nutr        ISSN: 0731-5724            Impact factor:   3.169


  3 in total

1.  The predictive value of the prognostic nutritional index to postoperative prognosis and nursing intervention measures for colorectal cancer.

Authors:  Yongmei Zhu; Lihua Fan; Xuefeng Geng; Jing Li
Journal:  Am J Transl Res       Date:  2021-12-15       Impact factor: 4.060

2.  Personalized Genome-Scale Metabolic Models Identify Targets of Redox Metabolism in Radiation-Resistant Tumors.

Authors:  Joshua E Lewis; Tom E Forshaw; David A Boothman; Cristina M Furdui; Melissa L Kemp
Journal:  Cell Syst       Date:  2021-01-20       Impact factor: 10.304

3.  Poor Dietary Polyphenol Intake in Childhood Cancer Patients.

Authors:  Ashly Liu; Jennifer Cohen; Orazio Vittorio
Journal:  Nutrients       Date:  2019-11-19       Impact factor: 5.717

  3 in total

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