Journal article
Weight Gain, Metabolic Syndrome, and Breast Cancer Recurrence: Are Dietary Recommendations Supported by the Data?
International journal of breast cancer, v 2012, pp 1-9
01 Jan 2012
PMID: 23050155
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Metabolic syndrome, which can include weight gain and central obesity, elevated serum insulin and glucose, and insulin resistance, has been strongly associated with breast cancer recurrence and worse outcomes after treatment. Epidemiologic and prospective data do not show conclusive evidence as to which dietary factors may be responsible for these results. Current strategies employ low-fat diets which emphasize supplementing calories with increased intake of fruit, grain, and vegetable carbohydrate sources. Although results thus far have been inconclusive, recent randomized trials employing markedly different dietary strategies in noncancer patients may hold the key to reducing multiple risk factors in metabolic syndrome simultaneously which may prove to increase the long-term outcome of breast cancer patients and decrease recurrences. Since weight gain after breast cancer treatment confers a poor prognosis and may increase recurrence rates, large-scale randomized trials are needed to evaluate appropriate dietary interventions for our breast cancer patients.
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Details
- Title
- Weight Gain, Metabolic Syndrome, and Breast Cancer Recurrence: Are Dietary Recommendations Supported by the Data?
- Creators
- Colin E. Champ - Sidney Kimmel Cancer CenterJeff S. Volek - University of ConnecticutJoshua Siglin - Thomas Jefferson UniversityLianjin Jin - Thomas Jefferson UniversityNicole L. Simone - Thomas Jefferson University
- Publication Details
- International journal of breast cancer, v 2012, pp 1-9
- Publisher
- Wiley
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Radiation Oncology (and Nuclear Medicine)
- Web of Science ID
- WOS:000215213500025
- Other Identifier
- 991021897263304721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Oncology