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The effect of diabetes on the risk of endometrial Cancer: an updated a systematic review and meta-analysis

Lotfolah Saed, Fatemeh Varse, Hamid Reza Baradaran and 8 more

BMC Cancer · 2019 · Meta-analysis · CC BY

doi:10.1186/s12885-019-5748-4

Abstract

Background. Previous studies conducted on the association between diabetes and the risk of endometrial cancer have reported controversial results that have raised a variety of questions about the association between diabetes and the incidence of this cancer. Thus, the aim of this systematic review and meta-analysis was to more precisely estimate the effect of diabetes on the risk of endometrial cancer incidence.

Methods. All original articles were searched in international databases, including Medline (PubMed), Web of sciences, Scopus, EMBASE, and CINHAL. Search was done from January 1990 to January 2018 without language limitations. Also, logarithm and standard error logarithm relative risk (RR) were used for meta-analysis.

Results. A total of 22 cohort and case-control studies were included in this meta-analysis, of which 14 showed statistically significant associations between diabetes and risk of endometrial cancer. Diabetes was associated with increased risk of endometrial cancer (RR = 1.72, 95% CI 1.48–2.01). The summary of RR for all 9 cohort studies was 1.56 (95% CI 1.21–2.01), and it was 1.85 (95% CI 1.53–2.23) for 13 case control studies. The summary of RR in hospital-based studies was higher than other studies. Thirteen of the primary studies-controlled BMI as a confounding variable, and the combined risk of their results was 1.62 (95% CI 1.34–1.97).

Conclusions. Diabetes seems to increases the risk of endometrial cancer in women, and this finding can be useful in developing endometrial cancer prevention plans for women having diabetes.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 27, 2026. Paragraph numbers are ours, so an answer can point at one.

Background

A recent study conducted by Lortet-Tieulent, J and colleague show that endometrial cancer is the sixth most commonly occurring cancer in women and the 15th most commonly occurring cancer overall. There were over 380,000 new cases in 2018. Also, about 142,000 women are diagnosed with endometrial cancer annually worldwide, and about 42,000 women lose their life due to endometrial cancer. The usual curve of endometrial cancer indicates that most cases are diagnosed after menopause, and the highest incidence rate is around the seventh decade of life. The disease is more than 10 times common in North America and Europe than in less developed countries. The incidence and the mortality rate of endometrial cancer increased during 2006 and 2010. Estrogens, both internal and external, play an important role in increasing endometrial cancer. Several studies have shown that the risk of endometrial cancer increases with older age, early menstruation, late menopause, obesity, family history of endometrial cancer (especially among close relatives), exposure to radiation, infertility (especially due to polycystic ovarian syndrome), and long-term use of estrogens for hormone therapy. Estrogens, both internal and external, play an important role in increasing endometrial cancer. Multiple studies have claimed a positive association between diabetes and incidence of endometrial cancer with several biological mechanisms. However, a previous systematic review and meta-analysis was performing by Friberg and colleges but growing several publications afterwards and also considering new variables in adjusted models, we felt to design an updated systematic review and meta-analysis in order to show any posible relationship between diabetes and endometrial cancer.

Methods

This systematic review was performed according to the Meta-Analyses of Observational Studies in Epidemiology (MOOSE) and Strengthening the Reporting of Observationally Studies in Epidemiology (STROBE) guidelines for reviews of analytical observational studies (case-control and cohort).

Search strategy

All original published articles were searched in international databases, including Medline (PubMed), Web of sciences, Scopus, EMBASE, and CINHAL. Search was done from January 1990 to January 2018 without language limitations. The keywords were Diabetes, Diabetes Mellitus (type 1 and 2), Insulin Dependent, IDDM, NIDDM, Noninsulin Dependent, Endometrial Stromal Tumors, Endometrial Neoplasms, and Endometrial. The selected studies were limited to observational studies on humans.

The primary search results were reviewed, and some of the articles were eliminated after reviewing their title and an abstract. Inclusion and exclusion criteria were set by 2 researchers separately (YM, FV) (Fig. 1).

Eligibility criteria

A published study had to meet the following inclusion criteria:

(1) original article, (2) case-control or cohort study, (3) human population, (4) diabetes and patients with diabetes as the main independent variable, and (5) endometrial cancer as the dependent variable. Case reports, reviews, animal studies, and case control or cohort studies with crude estimates about the effect of diabetes on the risk of endometrial cancer were removed from the tabulation. The authors resolved all disputes during the collection, compilation, and analysis of data.

Data extraction

Two researchers evaluated all included articles independently. They assessed the disagreement, if any, and in case an agreement was not reached, a third author (LS) evaluated the study. Two independent matched reviewers extracted the data according to a uniform Excel sheet. Then, a structured checklist was used to extract the following information: (1) author, (2) year of publication, (3) type of study, (4) country, (5) study population, (6) age of women, (7) sample size, (8) type of diabetes, (9) measurement, and (10) adjusted variables of association.

Statistical analysis

In the meta-analysis, 3 measures of association were used: (1) odds ratio (case-control and population-based case-control studies), (2) relative risk (cohort and population cohort studies), and (3) hazard ratio (cohort and population-based cohort studies). As the frequency of endometrial cancer was relatively low, the odds ratio in the case-control and population based case-control studies and the risk ratio in the cohort and population-based cohort studies yielded similar estimates of relative risk (RR).

Logarithm and standard error logarithm relative risk (RR) were used for the meta-analysis. DerSimonian and Laird method was used to compute the pooled estimate of relative risk (RR) with confidence interval (CI 95%) using random models. Because the test for heterogeneity was statistically significant in some analyses, the random effects models were used to estimate RR. In this study, w Cochran’s Q test and I2 statistic were used to evaluate statistical heterogeneity between studies. In addition, a meta-regression and subgroup analysis was performed to assess the source of heterogeneity between studies. Moreover, publication bias was assessed by funnel plot and Egger and Begg’s test. Statistical analysis was performed using STATA 14.0 (Stata Corp, College Station, TX, USA), and statistical significance was set at p < 0.05.

Study characteristics

A total of 22 studies were included in this meta-analysis (Fig. 1), of which 9 were cohort and population cohort studies (Table 1) and 13 were case-control and population case-control studies (Table 2). Also, 12 studies were conducted in the USA, 4 in Sweden, 2 in Italy, 1 in Canada, 1 in Norway, 1 in Mexico, and 1 in Japan. The case-control and population case-control studies (n = 13) comprised 22,392 controls and 7698 endometrial cancer cases.

The overall and individual results of 22 cohort and case-control studies are shown in Fig. 2. Of the 22 studies, 14 showed statistically significant associations between diabetes and risk of endometrial cancer. Occurrence of diabetes had an association with increased risk of endometrial cancer (RR = 1.72, 95% CI 1.48–2.01) (Figs. 2 and 3). The results demonstrated heterogeneity of the studies (I2 = 66.7%; P < 0.0001). However, no evidence of publication bias was found based on the results of the Egger’s test (Egger’s test: t = 1.90, P = 0.072, 95% CI: − 0.04-0.91).

Subgroup analysis

The subgroup analysis was conducted based on the study design, and variables adjustment (Table 3). Individual study results and the overall summary results for 8 cohorts and 7 population-based, 2 hospital-based, and 5 case-control studies investigating the effect of diabetes on the risk of endometrial cancer in women are shown in Table 3. The results indicated that the summary of RR for all the 8 cohort studies combined was 1.52 (95% CI 1.16–2.00), and heterogeneity among these studies was significant (Q = 3.03, I2 = 70.7%; P = 0.001). The summary of RR for all the 7 population-based case–control studies was 1.55 (95% CI 1.37–1.75), however, heterogeneity among these studies was not significant (Q = 6.88, I2 = 0.0%; P = 0.461). In addition, the summary of RR for all the 5 case-control studies was 2.31 (95% CI 1.81–2.96), but heterogeneity was not significant (Q = 6.69, I2 = 22.7%; P = 0.270). Also, the summary of RR was higher in hospital-based studies than in other studies [RR = 4.10 (CI 95% 2.09–8.01), heterogeneity was Q = 4.12, I2 = 0.0%, P = 0.402]. According to the results in Table 3, the summary of RR in hospital-based studies was higher than in other studies. Also, 13 of the primary studies-controlled BMI as a confounding variable, and the combined risk of their results was 1.62 (95% CI 1.34–1.97, test for heterogeneity: Q = 4.14, I2 = 71.0%, P = 0.0001). However, 4 of the primary studies-controlled weight as a confounding variable, and the combined risk of their results was 2.45 (95% CI 1.14–5.26, test for heterogeneity: Q = 2.53, I2 = 21.0%, P = 0.021).

Also, the summary of RR of primary studies, whose results were adjusted based on BMI showed a less value compared to summary of RR of primary studies, whose results were adjusted based on weight control (1.62; 95% CI 1.34–1.97 Vs 2.45; 95% CI 1.14–5.26). Physical activity was adjusted in 4 primary studies, and the summary of RR based on controlling this variable was 1.89 (95% CI 1.22–2.94, test for heterogeneity Q = 6.08, I2 = 50.6%, P = 0.108) (Table 3).

Discussion

The results of this meta-analysis showed that women with diabetes had a 72% increased risk of endometrial cancer compared to those without diabetes as supports the previous meta-analysis conducted by E. Friberg et al. (31) in 2007. Also, other studies have shown that diabetes increased the risk of endometrial cancer, which is in line with the results of the present study.

Based on subgroup analysis, the risk of endometrial cancer in case-control studies was higher than in cohort studies, and a higher risk was observed in hospital-based studies compared to population-based studies..

Since the results of case-control and hospital-based studies are more prone to be affected by confounders therefore the calculated risk might be over-estimated..

In our meta-analysis, heterogeneity was 66.7% for overall risk, which was reduced by subgroup analysis based on type of study, so the heterogeneity for each group for RR in cohort studies, case-control studies, population-based studies, and hospital-based studies were 70.7, 22.7, 0, and 0%, respectively. Furthermore, in this study, it was found that the levels of heterogeneity in physical activity, weight, and BMI had decreased remarkably. It can be concluded from the analysis that the causes of heterogeneity in determining the overall risk of endometrial cancer in women with diabetes in the present meta-analysis were type of study, adjusted co-variables and geographical area (Fig. 2).

Obesity, which is one of the most important factors in diabetes, can cause hormonal imbalances in the body, and this in turn predisposes a person to endometrial cancer. One of the risk factors for type 2 diabetes is obesity, which is also a major risk factor for endometrial cancer. Although the precise mechanisms and pathways are uncertain, it could be hypothesized that endometrial carcinogenesis is that exposure of the endometrium to excess estrogen unopposed by progesterone increases the mitogen activity of endometrial cells. In this meta-analysis the summary of RR of primary studies, whose results were adjusted based on BMI showed a less value compared to summary of RR of primary studies, whose results were adjusted based on weight control. In women with obesity the levels of estradiol and estrogen are higher than women with normal weight,, and this could be one the possible reason for the increase risk of endometrial cancer because of obesity. However, results of several studies showed that other factors, such as higher insulin levels and growth factors, may also increase the risk of endometrial cancer in women with obesity. Moreover, long-term insulin therapy may also be responsible for increased risk of endometrial cancer in women with diabetes (31).

In this study, the authors performed subgroup analysis based on type of primary studies, geographical area, and adjusted covariate. However, we could not perform subgroup analysis based on type of diabetes (type 1 and type 2) because the early studies did not specify or separate the types of diabetes. Diabetes is a chronic disease, whose diagnosis may not be accurate and specific, in which case it would lead to classification bias (non-differential misclassification). Therefore, the overall results obtained from primary studies should be interpreted with caution.

However most of included case-control and cohort studies in this meta-analysis controlled the variables of obesity and sedentariness but it is of utmost importance to consider the effect of confounding variables (sedentariness, hormonal disorders, and obesity) on determining the relationship between diabetes and risk of endometrial cancer in women. The major strength of this updated meta-analysis in compare to previous one is that more primary studies identified and included, therefore distinguished effects of diabetes on risk of developing endometrial cancer based on adjustments to BMI/weight presented with larger sample size (larger effect size).

Limitations

Included primary studies did not mention the duration of diabetes and type of treatment (oral anti hyperglycemic agents and/or insulin). Furthermore, identifying women with diabetes in the primary studies was almost based on their self-reports. Since the primary studies did not consider type of diabetes therefore it was not possible to estimate the possible risk separately in in type 1 and type 2 diabetes.

Conclusions

Diabetes seems to increases the risk of endometrial cancer in women, and this finding can be useful in developing endometrial cancer prevention plans for women having diabetes.

References 50

  1. 1.

    Lortet-Tieulent J, et al. International patterns and trends in endometrial cancer incidence, 1978–2013. J Natl Cancer Inst. 2017;110(4):354-361.

    Not in our library10.1093/jnci/djx214

  2. 2.

    Stroup DF, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Jama. 2000;283(15):2008-2012.

    Not in our library10.1001/jama.283.15.2008

  3. 3.

    Parkin DM, Pisani P, Ferlay J. Global cancer statistics. CA Cancer J Clin. 1999;49(1):33-64.

    Not in our library10.3322/canjclin.49.1.33

  4. 4.

    Luo J, et al. Association between diabetes, diabetes treatment and risk of developing endometrial cancer. Br J Cancer. 2014;111(7):1432.

    Not in our library10.1038/bjc.2014.407

  5. 5.

    Anderson KE, et al. Diabetes and endometrial cancer in the Iowa women’s health study. Cancer Epidemiol Biomarkers Prev. 2001;10(6):611-616.

    Not in our library

  6. 6.

    Lindemann K, et al. Body mass, diabetes and smoking, and endometrial cancer risk: a follow-up study. Br J Cancer. 2008;98(9):1582.

    Not in our library10.1038/sj.bjc.6604313

  7. 7.

    Ali A. Risk factors for endometrial cancer. Ceska Gynekol. 2013;78(5):448-459.

    Not in our library

  8. 8.

    Friberg E, et al. Diabetes mellitus and risk of endometrial cancer: a meta-analysis. Diabetologia. 2007;50(7):1365-1374.

    Not in our library10.1007/s00125-007-0681-5

  9. 9.

    Knottnerus A, Tugwell P. STROBE—a checklist to Strengthen the Reporting of Observational Studies in Epidemiology. 2008;61(4):323.

    Not in our library10.1016/j.jclinepi.2007.11.006

  10. 10.
  11. 11.

    Greenland S. Quantitative methods in the review of epidemiologic literature. Epidemiol Rev. 1987;9(1):1-30.

    Not in our library10.1093/oxfordjournals.epirev.a036298

  12. 12.

    DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7(3):177-188.

    Not in our library10.1016/0197-2456(86)90046-2

  13. 13.

    Higgins J, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539-1558.

    Not in our library10.1002/sim.1186

  14. 14.

    Egger M, Smith GD, Minder C. Bias in meta-analysis detected by a simple, graphical test. Br Med J. 1998;316(7129):470-471.

    Not in our library

  15. 15.

    Egger M, et al. Bias in meta-analysis detected by a simple, graphical test. Bmj. 1997;315(7109):629-634.

    Not in our library10.1136/bmj.315.7109.629

  16. 16.

    AlHilli M, et al. The impact of diabetes and metformin on clinical outcomes is negligible in risk-adjusted endometrial cancer cohorts. Gynecol Oncol. 2015;137:156-157.

    Not in our library10.1016/j.ygyno.2015.01.391

  17. 17.

    Friberg E, Mantzoros CS, Wolk A. Diabetes and risk of endometrial cancer: a population-based prospective cohort study. Cancer Epidemiol Biomarkers Prev. 2007;16(2):276-280.

    Not in our library10.1158/1055-9965.epi-06-0751

  18. 18.

    Lambe M, et al. Impaired glucose metabolism and diabetes and the risk of breast, endometrial, and ovarian cancer. Cancer Causes Control. 2011;22(8):1163-1171.

    Not in our library10.1007/s10552-011-9794-8

  19. 19.

    Coughlin SS, et al. Diabetes mellitus as a predictor of cancer mortality in a large cohort of US adults. Am J Epidemiol. 2004;159(12):1160-1167.

    Not in our library10.1093/aje/kwh161

  20. 20.

    Folsom AR, et al. Diabetes as a risk factor for death following endometrial cancer. Gynecol Oncol. 2004;94(3):740-745.

    Not in our library10.1016/j.ygyno.2004.06.027

  21. 21.

    Terry P, et al. Lifestyle and endometrial cancer risk: a cohort study from the Swedish twin registry. Int J Cancer. 1999;82(1):38-42.

    Not in our library10.1002/(sici)1097-0215(19990702)82:1<38::aid-ijc8>3.0.co;2-q

  22. 22.

    Brinton LA, et al. Reproductive, menstrual, and medical risk factors for endometrial cancer: results from a case-control study. Am J Obstet Gynecol. 1992;167(5):1317-1325.

    Not in our library10.1016/s0002-9378(11)91709-8

  23. 23.

    Friedenreich CM, et al. Case–control study of the metabolic syndrome and metabolic risk factors for endometrial cancer. Cancer Epidemiol Biomarkers Prev. 2011;20(11):2384-2395.

    Not in our library10.1158/1055-9965.epi-11-0715

  24. 24.

    Inoue M, et al. A case-control study on risk factors for uterine endometrial Cancer in Japan. Cancer Sci. 1994;85(4):346-350.

    Not in our library10.1111/j.1349-7006.1994.tb02365.x

  25. 25.

    Lucenteforte E, et al. Diabetes and endometrial cancer: effect modification by body weight, physical activity and hypertension. Br J Cancer. 2007;97(7):995.

    Not in our library10.1038/sj.bjc.6603933

  26. 26.

    Parazzini F, et al. Diabetes and endometrial cancer: an Italian case-control study. Int J Cancer. 1999;81(4):539-542.

    Not in our library10.1002/(sici)1097-0215(19990517)81:4<539::aid-ijc6>3.0.co;2-q

  27. 27.

    Rubin GL, et al. Estrogen replacement therapy and the risk of endometrial cancer: remaining controversies. Am J Obstet Gynecol. 1990;162(1):148-154.

    Not in our library10.1016/0002-9378(90)90838-x

  28. 28.

    Salazar-Martínez E, et al. Case–control study of diabetes, obesity, physical activity and risk of endometrial cancer among Mexican women. Cancer Causes Control. 2000;11(8):707-711.

    Not in our library10.1023/a:1008913619107

  29. 29.

    Saltzman BS, et al. Diabetes and endometrial cancer: an evaluation of the modifying effects of other known risk factors. 2007;167(5):607–14.

    Not in our library10.1093/aje/kwm333

  30. 30.

    Shoff SM, Newcomb PA. Diabetes, body size, and risk of endometrial cancer. Am J Epidemiol. 1998;148(3):234-240.

    Not in our library10.1093/oxfordjournals.aje.a009630

  31. 31.

    Soliman PT, et al. Association between adiponectin, insulin resistance, and endometrial cancer. Cancer. 2006;106(11):2376-2381.

    Not in our library10.1002/cncr.21866

  32. 32.

    Wartko PD, et al. Association of endometrial hyperplasia and cancer with a history of gestational diabetes. Cancer Causes Control. 2017;28(8):819-828.

    Not in our library10.1007/s10552-017-0908-9

  33. 33.

    Weiderpass E, et al. Body size in different periods of life, diabetes mellitus, hypertension, and risk of postmenopausal endometrial cancer (Sweden). Cancer Causes Control. 2000;11(2):185-192.

    Not in our library10.1023/a:1008946825313

  34. 34.

    Weiss JM, et al. Risk factors for the incidence of endometrial cancer according to the aggressiveness of disease. Am J Epidemiol. 2006;164(1):56-62.

    Not in our library10.1093/aje/kwj152

  35. 35.

    Tsilidis KK, et al. Type 2 diabetes and cancer: umbrella review of meta-analyses of observational studies. Bmj. 2015;350:g7607.

    Not in our library10.1136/bmj.g7607

  36. 36.

    Austin MA, et al. The effect of response bias on the odds ratio. Am J Epidemiol. 1981;114(1):137-143.

    Not in our library10.1093/oxfordjournals.aje.a113160

  37. 37.

    Heid I, et al. On the potential of measurement error to induce differential bias on odds ratio estimates: an example from radon epidemiology. Stat Med. 2002;21(21):3261-3278.

    Not in our library10.1002/sim.1252

  38. 38.
  39. 39.

    Clayton D, Hills M, Pickles A. Statistical models in epidemiology. 1993.

    Not in our library

  40. 40.

    Schulz KF, Grimes DA. Case-control studies: research in reverse. Lancet. 2002;359(9304):431-434.

    Not in our library10.1016/s0140-6736(02)07605-5

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