Chapter title |
Obesity and Ovarian Cancer
|
---|---|
Chapter number | 9 |
Book title |
Obesity and Cancer
|
Published in |
Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer, December 2016
|
DOI | 10.1007/978-3-319-42542-9_9 |
Pubmed ID | |
Book ISBNs |
978-3-31-942540-5, 978-3-31-942542-9
|
Authors |
Shelley S. Tworoger, Tianyi Huang, Tworoger, Shelley S., Huang, Tianyi |
Editors |
Tobias Pischon, Katharina Nimptsch |
Abstract |
Ovarian cancer is the most fatal gynecologic cancer and is an important source of cancer-related mortality, particularly in developed countries. Despite substantial research examining adiposity (primarily adult body mass index [BMI]), the overall evidence suggests only a weak positive association between adiposity and risk of ovarian cancer, with stronger associations observed for population-based case-control studies compared to prospective studies. Ovarian cancer is not one disease and emerging data suggest that higher BMI may only be associated with risk of certain histologic subtypes, including low-grade serous and invasive mucinous tumors. Interestingly, some larger studies and meta-analyses have reported a stronger relationship with premenopausal ovarian cancers, which are more likely to be of these subtypes. Relatively few studies have conducted detailed examinations of other adiposity-related factors such as measures of abdominal adiposity, early-life body size and weight change. While the underlying mechanisms that may relate adiposity to risk are unclear, increased inflammatory biomarkers have been associated with risk and hormonal factors, including androgen levels, may be important for the development of mucinous tumors. Future research should leverage the large sample sizes of consortia to evaluate associations by key tumor characteristics as well as consider patterns of weight change over the life course with both ovarian cancer risk and survival. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 79 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 14% |
Student > Master | 11 | 14% |
Student > Bachelor | 10 | 13% |
Student > Doctoral Student | 7 | 9% |
Other | 3 | 4% |
Other | 13 | 16% |
Unknown | 24 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 30% |
Biochemistry, Genetics and Molecular Biology | 9 | 11% |
Nursing and Health Professions | 6 | 8% |
Immunology and Microbiology | 2 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Other | 6 | 8% |
Unknown | 30 | 38% |