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Cancer Epidemiology Biomarkers & Prevention 16, 276-280, February 1, 2007. doi: 10.1158/1055-9965.EPI-06-0751
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Diabetes and Risk of Endometrial Cancer: A Population-Based Prospective Cohort Study

Emilie Friberg1, Christos S. Mantzoros2 and Alicja Wolk1

1 Division of Nutritional Epidemiology, The National Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden and 2 Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts

Requests for reprints: Alicja Wolk, Division of Nutritional Epidemiology, The National Institute of Environmental Medicine, Karolinska Institutet, P.O. Box 210, SE-171 77 Stockholm, Sweden. Phone: 46-8-524-861-70; Fax: 46-8-30-45-71. E-mail: alicja.wolk{at}ki.se


   Abstract
Top
 Abstract
Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Although there is accumulating evidence that hyperinsulinemia in the context of insulin resistance is associated with carcinogenesis, only one prospective study of endometrial cancer incidence, in relation to diabetes, addressed this issue and showed no significant positive association. No previous study has investigated whether physical activity can modify the association between diabetes and endometrial cancer. We examined the association between diabetes and incidence of endometrial cancer and the potential effect modification by obesity and physical activity in the Swedish Mammography Cohort, a prospective cohort of 36,773 women, including 225 incident endometrial adenocarcinoma cases. After adjustments, the relative risk (RR) for endometrial cancer among women with diabetes comparing with nondiabetic women was 1.94 [95% confidence interval (95% CI), 1.23-3.08]. Among obese diabetics, the RR was 6.39 (95% CI, 3.28-12.06) compared with nonobese nondiabetic women. Among diabetics with low physical activity, the RR for endometrial cancer was 2.80 (95% CI, 1.62-4.85) compared with physically active nondiabetic women. Obese diabetics with low physical activity had a RR of 9.61 (95% CI, 4.66-19.83) compared with normal weight nondiabetic women with high physical activity. Diabetes was associated with a 2-fold increased risk, and combination of diabetes with obesity and low physical activity was associated with a further increased risk for endometrial cancer. Interventions to reduce body weight and increase physical activity may have important implications in terms of prevention of endometrial cancer and future management of diabetic subjects. (Cancer Epidemiol Biomarkers Prev 2007;16(2):268–72)


   Introduction
Top
 Abstract
 Introduction
Materials and Methods
 Results
 Discussion
 References
 
There is accumulating evidence that hyperinsulinemia, in the context of insulin resistance, is associated with carcinogenesis (1) and that hyperinsulinemia and insulin resistance are associated with a more aggressive course of endometrial cancer (2). In addition, epidemiologic studies have observed an elevated risk of endometrial cancer in relation to both high prediagnostic C-peptide concentrations indicating hyperinsulinemia (3) and low adiponectin concentrations (a novel endogenous insulin sensitizer; ref. 4). Moreover, long-term insulin therapy of patients with type 1 diabetes may also be responsible for increased risk of endometrial cancer in diabetic women with type 1 diabetes (5).

The major modifiable determinants of insulin resistance, hyperinsulinemia, and diabetes, such as obesity (6, 7) and physical inactivity (8), have also been shown to be risk factors for endometrial cancer (9, 10). Although several studies have reported a positive association between diabetes and incidence of or mortality from endometrial cancer, no previous study has investigated whether physical inactivity, an important determinant of insulin resistance, is a modifier of the association between diabetes and risk of endometrial cancer. Furthermore, no previous study has evaluated a combined effect of diabetes, obesity, and physical inactivity as a predictor of endometrial cancer risk. Besides, several previous studies were limited by small sample size (11-16) and/or an inability to account for important covariates (5, 11-13, 15, 17-21). Only two prospective cohort studies (22, 23) and four case-control studies (24-27) were adjusted for potential confounders. The two cohort studies have shown statistically nonsignificant positive associations between diabetes and incidence of (22) or mortality from (23) endometrial cancer, and the case-control studies have shown significant positive associations with incidence of endometrial cancer. Furthermore, only one prospective cohort (22) and three case-control studies (14, 25, 26) have reported on diabetes in relation to endometrial cancer risk in subgroups of women defined by body mass index (BMI) but none of them took into account physical activity.

To address these unanswered questions, we used data from the Swedish Mammography Cohort, a population-based prospective cohort study of ~40,000 women. We examined associations between diabetes and endometrial cancer risk and investigated whether the association varied by body weight and/or level of total physical activity, two major determinants of insulin resistance/hyperinsulinemia as well as risk factors for endometrial cancer, after adjusting for other known risk factors. Furthermore, we examined association between diabetes combined with obesity and/or physical inactivity and endometrial cancer risk.


   Materials and Methods
Top
 Abstract
 Introduction
 Materials and Methods
Results
 Discussion
 References
 
From 1987 to 1990, all women who lived in the Uppsala County of central Sweden and were born in 1914 to 1948 (n = 48,517) and all women who lived in the adjacent Västmanland County (n = 41,786) and were born in 1917 to 1948 received an invitation by mail to participate in a mammography screening program. A total of 66,651 (74%) women returned a completed questionnaire on diet, weight, height, parity, and education.

We excluded 5,188 women due to incorrect or missing identification numbers, dates missing on the questionnaire, moving out of the study area, death, outside the age range 40 to 76 years, extreme energy intake, or having had a cancer diagnosis.

In 1997, a second questionnaire was sent to all 56,030 members of the cohort who were still living in the study area; the second questionnaire was extended with information on medical history, including diabetes, history of oral contraceptive use, age at menopause, postmenopausal hormone use, and lifestyle factors, such as history of cigarette smoking, use of dietary supplements, and total physical activity; 39,227 (70%) women returned a completed questionnaire. Of the 39,227 women who responded to the 1997 questionnaire, we excluded those diagnosed with cancer (other than nonmelanoma skin cancer; n = 1,981) and those having had a hysterectomy (n = 473) before returning the questionnaire. After these exclusions, 36,773 women ages 50 to 83 years remained for this analysis.

Diabetes was self-reported on the questionnaire and assessed with a question "have you ever been diagnosed with diabetes" (e.g., outpatient, n = 1,509) and obtained by computerized linkage of the study population with the Swedish In-patient Registry (n = 675). BMI was calculated as weight in kilogram divided with the square of the length in meters (kg/m2). The validity for self-reported weight and height compared with measurements in Swedish women is high [Pearson correlation coefficient = 0.9 and 1.0, respectively (28)]. Estimated total physical activity was based on five types of activities, such as home/household work, walking/cycling, work/occupation, TV/reading, and exercise, and measured as multiples of the metabolic equivalent (MET, kcal·kg–1·h–1). The physical activity questions were validated by comparing with two 1-week records; Spearman correlation coefficient was 0.7 (29). Education was assessed with six questions ranging from 6 years of basic education to university studies. Cigarette smoking was measured as pack-years history of smoking. Energy intake was assessed with the use of a self-administered food-frequency questionnaire that included food items (including alcoholic beverages) commonly consumed in Sweden. We used age-specific (<53, 53-65, and >65 years) portion sizes that were based on mean values obtained from 213 randomly chosen women from the study area who weighed and recorded their foods during four 1-week periods 3 to 4 months apart.3

Follow-up of the Cohort
By linkage of the cohort with the Swedish Cancer Registry through July 1, 2003 and with the Regional Cancer Registry in the study area through June 30, 2005, we identified 225 adenocarcinoma endometrial cancer cases. The Swedish Cancer Registry and the Regional Cancer Registry have been estimated to be ~100% complete (30).

Furthermore, by linkage with the nationwide Swedish In-patient Registry, we identified women who had a hysterectomy for reasons other than endometrial cancer.

Dates of death or migration from the study area were ascertained through the Swedish Death Register and the National Swedish Population Register, respectively.

This study was approved by the Ethics Committees at the Uppsala University Hospital (Uppsala, Sweden) and the Karolinska Institutet (Stockholm, Sweden). Completion of the self-administered questionnaire indicated informed consent to participate in this study.

Statistical Analysis
To estimate the risk of endometrial cancer, we used Cox proportional hazards regression models. We calculated person-years of follow-up for each woman from the date of return of the questionnaire in 1997 to the date of an endometrial cancer diagnosis, the date of a hysterectomy, the date of death from any cause, the date of migration out of the study area during June 30, 2003 to June 30, 2005 (because for this time, we only have regional information), or the end of follow-up (June 30, 2005), whichever came first. The relative risk (RR) of endometrial cancer [with 95% confidence interval (95% CI)] was calculated by dividing the incidence rate among diabetic women with that among nondiabetic women. We did age-adjusted (age in months) and multivariable analyses. The multivariable models simultaneously included such variables as BMI and total physical activity, which changed risk estimates of diabetes by ≥5%. We also did multivariable analysis further adjusted for known risk factors, such as use of postmenopausal hormones, oral contraceptive use, parity, age at menopause, education, smoking, and total energy intake.

We conducted analyses of diabetes stratifying by BMI and physical activity. We also did analysis examining the joint effect of diabetes combined with obesity and diabetes combined with low physical activity (inactivity). Furthermore, we evaluated the joint effect of diabetes combined with obesity and low physical activity. The statistical significance of interactions was tested by adding an interaction term to the Cox model, simultaneously containing the main variables and age in months. All analyses were done using Statistical Analysis System software version 9.1 (SAS Institute, Cary, NC).


   Results
Top
 Abstract
 Introduction
 Materials and Methods
 Results
Discussion
 References
 
During a mean follow-up of 36,773 women in the cohort for 7 years (265,648 person-years), 225 endometrial cancer cases were diagnosed. The mean age at diagnosis of endometrial cancer was 68.6 (±9.5) years. Table 1 shows the distribution of known and potential risk factors for endometrial cancer in diabetic and nondiabetic subjects of the cohort. Individuals diagnosed with diabetes were older and heavier than nondiabetics, had a little lower total physical activity and less education, and tended to have used less postmenopausal hormone treatment and oral contraceptives. Other characteristics did not differ substantially between diabetics and nondiabetics. Overall diabetes was positively associated with endometrial cancer risk in both age-adjusted and multivariate analyses adjusting for confounders, such as BMI and total physical activity. The multivariate RR of endometrial cancer was 1.94 (95% CI, 1.23-3.08) for women diagnosed with diabetes compared with women without diabetes (Table 2 ). Adjusting for BMI as a categorical (quartiles) variable compared with as a continuous did not change the risk estimate (RR, 1.93; 95% CI, 1.22-3.06). Additional adjustment for potential confounders, such as use of postmenopausal hormones, oral contraceptive use, parity, age at menopause, education, smoking, and total energy intake, did not change the results substantially (RR, 1.96; 95% CI, 1.23-3.12). In sensitivity analysis, after exclusion of women with missing values of any single covariable included in the additionally adjusted multivariable model, the result did not differ substantially from the original analyses (RR, 1.98; 95% CI, 1.11-3.53). To eliminate potential effects of early undiagnosed endometrial cancer, we repeated our analysis after excluding endometrial cancer cases diagnosed during the first year of follow-up. Results from this analysis did not differ substantially from those for the whole cohort (multivariable RR, 1.77; 95% CI, 1.06-2.97, including 193 cases).


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  		Table 1. Baseline characteristics of women according to diabetes diagnosis

 

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  		Table 2. Association of diabetes with the risk of endometrial cancer

 
In an attempt to better disentangle the association of diabetes from the association of obesity and physical inactivity with the increased risk of endometrial cancer, we did analyses stratified by BMI and physical activity (Table 3 ). Because there were small differences in mean BMI between diabetics and nondiabetics within the two BMI strata (diabetics had on average slightly higher BMI), we adjusted for BMI within BMI strata. We observed an ~3-fold increased risk for obese women with diabetes comparing with obese women without diabetes. Similarly, women classified as having low physical activity had an ~3-fold increased risk if they had diabetes.


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  		Table 3. Association of diabetes with risk of endometrial cancer stratified by BMI and physical activity

 
We also evaluated the joint effect of diabetes combined with obesity and diabetes combined with low physical activity on the risk of endometrial cancer (Table 4 ). In stratified analysis, using as reference group nondiabetic women with low BMI, women with diabetes and high BMI had a >6-fold increased risk. However, a formal test did not show a statistically significant interaction between diabetes and BMI (Pinteraction = 0.25). When stratifying on total physical activity, the excess risk for endometrial cancer associated with diabetes and low physical activity was statistically significantly 3-fold higher compared with nondiabetic women with high physical activity. There was a statistically significant interaction between physical activity and diabetes (Pinteraction = 0.002). Further, we examined the joint effect of diabetes combined with high BMI and physical inactivity in relation to endometrial cancer risk, dividing the subjects according to the same cutoff points as in the above analyses in Table 4. Obese, physically inactive, diabetic women (including 9 endometrial cancer cases) had a RR of 9.61 (95% CI, 4.66-19.83) in age-adjusted analysis when compared with nondiabetic, nonobese women with high physical activity (including 75 endometrial cancer cases).


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  		Table 4. Association of diabetes combined with obesity and of diabetes combined with low physical activity (inactivity) with risk of endometrial cancer

 

   Discussion
Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
References
 
In this population-based prospective cohort study, women with diabetes had a statistically significant ~2-fold higher risk for developing endometrial cancer. The risk was increased >6-fold among obese diabetic women compared with normal weight women without diabetes, whereas diabetics with low level of physical activity had ~3-fold increased risk compared with women without diabetes and a high level of total physical activity. In contrast, physically active diabetic women did not have significantly increased risk for endometrial cancer compared with women without diabetes; however, this observation was based on a very few cases. Subjects with the most unfavorable combination of diabetes with both high BMI and low physical activity had ~10-fold higher risk in comparison with nondiabetic women with normal weight who were highly physically active.

This is the first prospective cohort study showing diabetes to be statistically significantly associated with incidence of endometrial cancer and agrees and extends findings from case-control studies (14, 24-27). Two previous cohort studies suggested a positive overall association of diabetes with endometrial cancer incidence (multivariate RR, 1.43; 95% CI, 0.98-2.1; ref. 22) as well as mortality (multivariate RR, 1.33; 95% CI, 0.92-1.90; ref. 23), but results did not achieve statistical significance. Our observation that the risk is higher among obese diabetic women than among obese nondiabetic women is in accordance with the results from the previous case-control studies (14, 25, 26) and one cohort study (22). Furthermore, we have shown that the association between diabetes and endometrial cancer may be significantly modified by physical activity. Physically active diabetics were not at increased risk for endometrial cancer. These observations, if confirmed, are of important clinical significance not only in the prevention of endometrial cancer but also potentially in the management of diabetic subjects, especially those with obesity and low physical activity levels. Given the pandemic of obesity and the increasing prevalence of diabetes and physical inactivity in Western societies, these findings have also important public health implications, suggesting that a great and continuously growing percentage of the female population is at increased risk for endometrial cancer.

There are several mechanisms that could be potentially involved in the development of endometrial cancer in diabetic women. Hyperinsulinemia is a hallmark of diabetes, obesity, and physical inactivity, and insulin has been shown to stimulate the growth of endometrial stromal cells by binding to insulin receptors on endometrial cells (31). Hyperinsulinemia may also increase levels of free estrogens through decreasing concentrations of circulating sex hormone–binding globulin (32, 33). Estrogens have in turn been shown to increase endometrial cancer risk by stimulating proliferation of endometrial cells (34) when unopposed by progesterone (especially in postmenopausal women; refs. 35, 36). Finally, hyperinsulinemia through decreasing levels of insulin-like growth factor (IGF)-binding protein-1 and IGF-binding protein-3 increases circulating free IGF-I, which by binding and activating IGF-I receptors in the endometrium stimulates cell proliferation (37-42). Decreased circulating IGF-binding protein-3 levels may also have a direct regulatory role in cell growth control and cancer (43, 44). We have recently reported that obesity is closely associated with lower circulating levels of an endogenous insulin sensitizer, adiponectin (45), which in turn leads to type 2 diabetes and hyperinsulinemia. Low adiponectin levels are not only associated with higher levels of circulating estradiol and hyperinsulinemia/insulin resistance (46) but may also directly alter cell proliferation/apoptosis and angiogenesis by a process that involves members of the caspase group of apoptotic enzymes (47).

Thus, the higher risk observed among diabetic women could be due to their reduced adiponectin levels as well as increased insulin and IGF-I levels. The even higher risk observed in obese diabetic women is compatible with the fact that obesity induces both a state of significant hypoadiponectinemia and hyperinsulinemia as well as an excess of circulating bioactive endogenous estrogens due to an increased estrogen production from aromatization of androgens in peripheral fat tissue (48-50) and/or through a decreased production of sex hormone–binding globulin (51). In this respect, it is interesting to note that we have recently observed that reduced adiponectin levels are associated with increased risk for endometrial cancer and a combination of obesity with reduced adiponectin levels increases risk even further (i.e., 6-fold; ref. 52).

The lack of increased risk observed among physically active diabetics observed in our study may reflect the increased insulin sensitivity found in physically active women (53) and/or a shift in body composition containing less body fat and visceral adipose tissue (6, 7). The latter has been associated with higher adiponectin levels and lower degree of insulin resistance/hyperinsulinemia (54). Future detailed studies of the mechanisms underlying these epidemiologic observations can elucidate further the mechanisms leading to endometrial cancer and could also provide novel therapeutic opportunities. This study has important public health implications in terms of endometrial cancer prevention, given the continuously increasing prevalence of obesity and diabetes mainly due to inactivity and unhealthy diets, in Western societies. The observation that being obese and having low physical activity is further increasing risk for endometrial cancer in diabetic women provides new opportunities to prevent endometrial carcinogenesis in diabetic subjects by focusing on modifiable predictors of risk, such as body weight reduction and physical activity.

Major strengths of our study include its population-based design and the completeness of identification of endometrial cancer cases through the Swedish cancer registries. The prospective nature of the study fulfills the time sequence criterion for causality and makes it highly unlikely that the associations we observed were due to recall or selection biases, which can lead to spurious associations in case-control studies. Furthermore, we had information on all major potential confounders.

One limitation of our study is that identification of diabetic women in the cohort was partly based on self-reports, which might lead to underestimation of the true prevalence of diabetes. Incomplete identification of diabetic women in the cohort could lead to attenuation of our results. We were also unable to distinguish between type 1 and type 2 diabetes, but subjects with type 1 diabetes are a distinct minority among adult diabetics in Sweden. Furthermore, we had no information on duration of diabetes or treatment given. We could adjust only for BMI, and we were unable to control for body fat distribution, which would be more appropriate. Although the possibility of uncontrolled or residual confounding cannot be entirely eliminated, we have adjusted for multiple potential confounders. Another limitation is that it is difficult to clearly disentangle the association of diabetes from the association of obesity and physical inactivity with increased risk of endometrial cancer. Obesity and physical inactivity are two important risk factors for diabetes and also for endometrial cancer. Physical inactivity, obesity, and diabetes are associated with different degrees of hyperinsulinemia. Diabetes could therefore be an intermediate factor in the etiology of endometrial cancer.

In conclusion, our results suggest that diabetes may increase risk for endometrial cancer especially when combined with obesity and/or physical inactivity. If confirmed by other studies and in other populations, these data may prove of major public health significance given the increasing prevalence of obesity, physical inactivity, and diabetes in Western societies. Interventions to reduce body weight and increase physical activity may have important implications in terms of prevention of endometrial cancer and future management of diabetic subjects.


   Acknowledgments
 
We thank Professor Donna Spiegelman and her group at Harvard School of Public Health (Boston, MA) for contributing statistical programs used in the data analyses.


   Footnotes
 
Grant support: World Cancer Research Fund International, Swedish Cancer Foundation, Swedish Research Council/Longitudinal Studies grant DK58785, Swedish Foundation for International Cooperation in Research and Higher Education, and American Diabetes Association Award.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

3 A. Wolk, unpublished data. Back

Received 9/ 4/06; revised 11/17/06; accepted 11/22/06.


   References
Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 

  1. Giovannucci E. Nutrition, insulin, insulin-like growth factors, and cancer. Horm Metab Res 2003;35:694–704.[CrossRef][Medline]
  2. Berstein LM, Kvatchevskaya JO, Poroshina TE, et al. Insulin resistance, its consequences for the clinical course of the disease, and possibilities of correction in endometrial cancer. J Cancer Res Clin Oncol 2004;130:687–93.[CrossRef][Medline]
  3. Lukanova A, Zeleniuch-Jacquotte A, Lundin E, et al. Prediagnostic levels of C-peptide, IGF-I, IGFBP-1, -2, and -3 and risk of endometrial cancer. Int J Cancer 2004;108:262–8.[CrossRef][Medline]
  4. Diez JJ, Iglesias P. The role of the novel adipocyte-derived hormone adiponectin in human disease. Eur J Endocrinol 2003;148:293–300.[Abstract]
  5. Zendehdel K, Nyren O, Ostenson CG, Adami HO, Ekbom A, Ye W. Cancer incidence in patients with type 1 diabetes mellitus: a population-based cohort study in Sweden. J Natl Cancer Inst 2003;95:1797–800.[Abstract/Free Full Text]
  6. Kissebah AH, Vydelingum N, Murray R, et al. Relation of body fat distribution to metabolic complications of obesity. J Clin Endocrinol Metab 1982;54:254–60.[Abstract]
  7. Bjorntorp P. Metabolic implications of body fat distribution. Diabetes Care 1991;14:1132–43.[Abstract]
  8. Manson JE, Nathan DM, Krolewski AS, Stampfer MJ, Willett WC, Hennekens CH. A prospective study of exercise and incidence of diabetes among US male physicians. JAMA 1992;268:63–7.[Abstract]
  9. IARC. Weight control and physical activity. IARC handbooks of cancer prevention. Lyon: IARC Press; 2002.
  10. Schouten LJ, Goldbohm RA, van den Brandt PA. Anthropometry, physical activity, and endometrial cancer risk: results from the Netherlands Cohort Study. J Natl Cancer Inst 2004;96:1635–8.[Abstract/Free Full Text]
  11. Adami HO, McLaughlin J, Ekbom A, et al. Cancer risk in patients with diabetes mellitus. Cancer Causes Control 1991;2:307–14.[CrossRef][Medline]
  12. Ragozzino M, Melton LJ III, Chu CP, Palumbo PJ. Subsequent cancer risk in the incidence cohort of Rochester, Minnesota, residents with diabetes mellitus. J Chronic Dis 1982;35:13–9.[CrossRef][Medline]
  13. Wideroff L, Gridley G, Mellemkjaer L, et al. Cancer incidence in a population-based cohort of patients hospitalized with diabetes mellitus in Denmark. J Natl Cancer Inst 1997;89:1360–5.[Abstract/Free Full Text]
  14. Salazar-Martinez E, Lazcano-Ponce EC, Lira-Lira GG, et al. Case-control study of diabetes, obesity, physical activity, and risk of endometrial cancer among Mexican women. Cancer Causes Control 2000;11:707–11.[CrossRef][Medline]
  15. Inoue M, Okayama A, Fujita M, Enomoto T, Tanizawa O, Ueshima H. A case-control study on risk factors for uterine endometrial cancer in Japan. Jpn J Cancer Res 1994;85:346–50.[Medline]
  16. Terry P, Baron JA, Weiderpass E, Yuen J, Lichtenstein P, Nyren O. Lifestyle and endometrial cancer risk: a cohort study from the Swedish Twin Registry. Int J Cancer 1999;82:38–42.[CrossRef][Medline]
  17. Weiderpass E, Gridley G, Persson I, Nyren O, Ekbom A, Adami HO. Risk of endometrial and breast cancer in patients with diabetes mellitus. Int J Cancer 1997;71:360–3.[CrossRef][Medline]
  18. Maatela J, Aromaa A, Salmi T, Pohja M, Vuento M, Gronroos M. The risk of endometrial cancer in diabetic and hypertensive patients: a nationwide record-linkage study in Finland. Ann Chir Gynaecol Suppl 1994;208:20–4.[Medline]
  19. O'Mara BA, Byers T, Schoenfeld E. Diabetes mellitus and cancer risk: a multisite case-control study. J Chronic Dis 1985;38:435–41.[CrossRef][Medline]
  20. Elwood JM, Cole P, Rothman KJ, Kaplan SD. Epidemiology of endometrial cancer. J Natl Cancer Inst 1977;59:1055–60.[Medline]
  21. Kessler II. Cancer mortality among diabetics. J Natl Cancer Inst 1970;44:673–86.[Medline]
  22. Anderson KE, Anderson E, Mink PJ, et al. Diabetes and endometrial cancer in the Iowa women's health study. Cancer Epidemiol Biomarkers Prev 2001;10:611–6.[Abstract/Free Full Text]
  23. Coughlin SS, Calle EE, Teras LR, Petrelli J, Thun MJ. Diabetes mellitus as a predictor of cancer mortality in a large cohort of US adults. Am J Epidemiol 2004;159:1160–7.[Abstract/Free Full Text]
  24. Weiderpass E, Persson I, Adami HO, Magnusson C, Lindgren A, Baron JA. Body size in different periods of life, diabetes mellitus, hypertension, and risk of postmenopausal endometrial cancer (Sweden). Cancer Causes Control 2000;11:185–92.[CrossRef][Medline]
  25. Parazzini F, La Vecchia C, Negri E, et al. Diabetes and endometrial cancer: an Italian case-control study. Int J Cancer 1999;81:539–42.[CrossRef][Medline]
  26. Shoff SM, Newcomb PA. Diabetes, body size, and risk of endometrial cancer. Am J Epidemiol 1998;148:234–40.[Abstract/Free Full Text]
  27. La Vecchia C, Negri E, Franceschi S, D'Avanzo B, Boyle P. A case-control study of diabetes mellitus and cancer risk. Br J Cancer 1994;70:950–3.[Medline]
  28. Kuskowska-Wolk A, Bergstrom R, Bostrom G. Relationship between questionnaire data and medical records of height, weight, and body mass index. Int J Obes Relat Metab Disord 1992;16:1–9.[Medline]
  29. Norman A, Bellocco R, Bergstrom A, Wolk A. Validity and reproducibility of self-reported total physical activity—differences by relative weight. Int J Obes Relat Metab Disord 2001;25:682–8.[CrossRef][Medline]
  30. Mattsson B, Wallgren A. Completeness of the Swedish Cancer Register. Non-notified cancer cases recorded on death certificates in 1978. Acta Radiol Oncol 1984;23:305–13.[Medline]
  31. Nagamani M, Stuart CA. Specific binding and growth-promoting activity of insulin in endometrial cancer cells in culture. Am J Obstet Gynecol 1998;179:6–12.[CrossRef][Medline]
  32. Kazer RR. Insulin resistance, insulin-like growth factor I, and breast cancer: a hypothesis. Int J Cancer 1995;62:403–6.[Medline]
  33. Nestler JE, Powers LP, Matt DW, et al. A direct effect of hyperinsulinemia on serum sex hormone-binding globulin levels in obese women with the polycystic ovary syndrome. J Clin Endocrinol Metab 1991;72:83–9.[Abstract]
  34. Graham JD, Clarke CL. Physiological action of progesterone in target tissues. Endocr Rev 1997;18:502–19.[Abstract/Free Full Text]
  35. Ferenczy A, Bertrand G, Gelfand MM. Proliferation kinetics of human endometrium during the normal menstrual cycle. Am J Obstet Gynecol 1979;133:859–67.[Medline]
  36. Key TJ, Pike MC. The dose-effect relationship between ‘unopposed’ oestrogens and endometrial mitotic rate: its central role in explaining and predicting endometrial cancer risk. Br J Cancer 1988;57:205–12.[Medline]
  37. Irwin JC, de las Fuentes L, Dsupin BA, Giudice LC. Insulin-like growth factor regulation of human endometrial stromal cell function: coordinate effects on insulin-like growth factor binding protein-1, cell proliferation, and prolactin secretion. Regul Pept 1993;48:165–77.[CrossRef][Medline]
  38. Murphy LJ. Growth factors and steroid hormone action in endometrial cancer. J Steroid Biochem Mol Biol 1994;48:419–23.[CrossRef][Medline]
  39. Corocleanu M. Hypothesis for endometrial carcinoma carcinogenesis. Preventive prospects. Clin Exp Obstet Gynecol 1993;20:254–8.[Medline]
  40. Thiet MP, Osathanondh R, Yeh J. Localization and timing of appearance of insulin, insulin-like growth factor-I, their receptors in the human fetal mullerian tract. Am J Obstet Gynecol 1994;170:152–6.[Medline]
  41. Ordener C, Cypriani B, Vuillermoz C, Adessi GL. Epidermal growth factor and insulin induce the proliferation of guinea pig endometrial stromal cells in serum-free culture, whereas estradiol and progesterone do not. Biol Reprod 1993;49:1032–44.[Abstract]
  42. Weiderpass E, Brismar K, Bellocco R, Vainio H, Kaaks R. Serum levels of insulin-like growth factor-I, IGF-binding protein 1 and 3, and insulin and endometrial cancer risk. Br J Cancer 2003;89:1697–704.[Medline]
  43. Giovannucci E. Insulin-like growth factor-I and binding protein-3 and risk of cancer. Horm Res 1999;51 Suppl 3:34–41.
  44. Moschos SJ, Mantzoros CS. The role of the IGF system in cancer: from basic to clinical studies and clinical applications. Oncology 2002;63:317–32.[CrossRef][Medline]
  45. Mantzoros CS, Li T, Manson JE, Meigs JB, Hu FB. Circulating adiponectin levels are associated with better glycemic control, more favorable lipid profile, and reduced inflammation in women with type 2 diabetes. J Clin Endocrinol Metab 2005;90:4542–8.[Abstract/Free Full Text]
  46. Gavrila A, Chan JL, Yiannakouris N, et al. Serum adiponectin levels are inversely associated with overall and central fat distribution but are not directly regulated by acute fasting or leptin administration in humans: cross-sectional and interventional studies. J Clin Endocrinol Metab 2003;88:4823–31.[Abstract/Free Full Text]
  47. Brakenhielm E, Veitonmaki N, Cao R, et al. Adiponectin-induced antiangiogenesis and antitumor activity involve caspase-mediated endothelial cell apoptosis. Proc Natl Acad Sci U S A 2004;101:2476–81.[Abstract/Free Full Text]
  48. Edman CD, Aiman EJ, Porter JC, MacDonald PC. Identification of the estrogen product of extraglandular aromatization of plasma androstenedione. Am J Obstet Gynecol 1978;130:439–47.[Medline]
  49. MacDonald PC, Edman CD, Hemsell DL, Porter JC, Siiteri PK. Effect of obesity on conversion of plasma androstenedione to estrone in postmenopausal women with and without endometrial cancer. Am J Obstet Gynecol 1978;130:448–55.[Medline]
  50. Cleland WH, Mendelson CR, Simpson ER. Effects of aging and obesity on aromatase activity of human adipose cells. J Clin Endocrinol Metab 1985;60:174–7.[Abstract]
  51. Enriori CL, Orsini W, del Carmen Cremona M, Etkin AE, Cardillo LR, Reforzo-Membrives J. Decrease of circulating level of SHBG in postmenopausal obese women as a risk factor in breast cancer: reversible effect of weight loss. Gynecol Oncol 1986;23:77–86.[Medline]
  52. Dal Maso L, Augustin LS, Karalis A, et al. Circulating adiponectin and endometrial cancer risk. J Clin Endocrinol Metab 2004;89:1160–3.[Abstract/Free Full Text]
  53. Koivisto VA, Yki-Jarvinen H, DeFronzo RA. Physical training and insulin sensitivity. Diabetes Metab Rev 1986;1:445–81.[Medline]
  54. Steffes MW, Gross MD, Schreiner PJ, et al. Serum adiponectin in young adults—interactions with central adiposity, circulating levels of glucose, and insulin resistance: the CARDIA study. Ann Epidemiol 2004;14:492–8.[CrossRef][Medline]



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