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Experimental and Therapeutic Medicine logoLink to Experimental and Therapeutic Medicine
. 2016 Apr 11;11(6):2305–2313. doi: 10.3892/etm.2016.3251

Circulating adiponectin levels and risk of endometrial cancer: Systematic review and meta-analysis

ZHI-JUN LI 1,*, XUE-LING YANG 2,*, YAN YAO 1, WEI-QING HAN 1, BO LI 1,
PMCID: PMC4887953  PMID: 27284314

Abstract

Previous epidemiological studies have presented conflicting results regarding associations between circulating adiponectin (APN) levels and the risk of endometrial cancer. Thus a meta-analysis was performed to investigate the association between these factors. Multiple electronic sources, including PubMed, SpringerLink and Google Scholar databases were searched to identify relevant studies for the present meta-analysis. All of the selected studies examined the correlation between circulating APN levels and endometrial cancer. The standardized mean difference (SMD) and 95% confidence intervals (CIs) were estimated and pooled using meta-analysis methods. Overall, 18 case-control studies met the inclusion criteria. A total of 5,692 participants and 2,337 cases of endometrial cancer were included in this meta-analysis. The SMD of the pooled analysis (95% CI) were −1.96 (−2.60, −1.31), P=0.000. When the cancer grades were compared, the APN values were not significantly different between the grades of endometrial cancer [G1 vs. G3, 1.02 (−0.68, 2.72), P>0.05; G1 vs. G2, 0.34 (−0.86, 1.54), P>0.05]. However, there was a significant association between high APN levels and postmenopausal endometrial cancer cases with an SMD (95% CI) of −2.27 (−4.36, −0.18) and P<0.05, however, no association was observed in premenopausal endometrial cancer cases with an SMD (95% CI) of −1.52 (−3.49, 0.45) and P>0.05. The low circulating APN level increases the risk of endometrial cancer, whereas the high APN level decreases this risk in postmenopausal women. Circulating APN as simple biomarkers may be a promising tool for the prevention, early diagnosis and disease monitoring of endometrial cancer.

Keywords: endometrial cancer, adiponectin, meta-analysis

Introduction

Endometrial cancer is the most common gynecological malignancy and the fourth most common type of cancer in women (13), following breast, lung and colorectal cancer. The incidence and mortality rate of endometrial cancer is increasing in developing and developed countries (36), although the rates of several other types of cancer have plateaued or decreased in the last decade (5). Over the past decades, much has been discovered about the genetics and lifestyle and environmental factors that affect endometrial cancer (7,8). The most significant risk factors for endometrial cancer and its precursor, endometrial hyperplasia, are unopposed estrogen, a sedentary lifestyle and obesity (5,9). Obesity is a major public health issue and continues to increase worldwide. By 2030, the rate of obesity is anticipated to reach ~50% of the population of the US and 30% in Europe (10). Obesity not only significantly increases the risk of insulin resistance and type-2 diabetes but it has also been identified as a risk factor for several types of cancer, such as endometrial cancer (10). Previous studies demonstrated that obesity is one of the strongest risk factors that exists for numerous types of cancer, including breast, colorectal, kidney, endometrial, ovarian, pancreatic and liver cancer (5,1113). In addition, endometrial cancer was the first type to be shown to be associated with obesity (5).

Adipose tissue functions as an energy storage and also as a highly active and large source of endocrine and metabolic activity (7,10). Adipokines are produced by adipose tissue and include leptin, resistin, adiponectin (APN), serpin, plasminogen activator inhibitor-1, retinol binding protein 4 and other numerous cytokines including tumor necrosis factor-α and interleukin receptor agonists (IL-1, IL-6, IL-8 and IL-10) (14,15). APN is the most abundant adipokine that is secreted mainly from visceral adipose tissue and only from mature adipocytes. It is an endogenous insulin-sensitizing hormone, and is linked to obesity, metabolic syndrome, insulin resistance, type-2 diabetes and inflammation in addition to several other types of cancer. APN has anti-diabetic, anti-angiogenic, anti-inflammatory and anti-atherogenic properties (10,1416), which are known to inhibit cell proliferation, promote apoptosis and angiogenesis in tumor biology (17). Furthermore, APN inhibits carcinogenesis directly and indirectly by regulating hormone and cytokine levels.

Circulating APN may potentially be a protective factor for endometrial cancer. Retrospective and prospective studies have investigated the association of circulating APN levels with the risk of endometrial cancer. Although the majority of the studies demonstrated a negative association, several studies demonstrated that there is no association between the two. Therefore, the association between the two remains to be clarified. Nevertheless, the incidence of endometrial cancer has risen in each year over the past few years and the major problem facing treatment is its late diagnosis. By the time that it gets diagnosed, the vast majority of patients have advanced to the late stages of cancer, and the outcome of clinical treatment is poor. Therefore, is an interest amongst cancer researchers to identify convenient and effective molecular markers and methods in order to diagnose cancer at the early stages. Blood is the most readily available sample and it is an ideal specimen for identifying molecular markers of cancer. Circulating APN may be a novel molecular marker or anti tumor factor that may provide a feasible method for early detection and prevention of endometrial cancer which may be important in its diagnosis and therapy. To the best of our knowledge, there have been a few systematic reviews conducted to evaluate whether low APN levels increase the risk of endometrial cancer. Therefore, this meta-analysis was performed to summarize all of the data available and to provide a quantitative assessment of the risk.

Patients and methods

Characteristics of included studies

A total of 18 studies were included in the final analysis (1835). The detailed steps of the search results are provided in Fig. 1. These 18 studies were published between 2003 and 2014, and included 2,337 women with endometrial cancer and 3,355 controls. Out of those 18 studies, 11 studies were conducted in Asia (China and Japan), 4 in North America (USA and Canada), and 3 in Europe (Greece, Poland and Romania). The quality score of the studies ranged from 5 to 8 stars (Newcastle-Ottawa Scale) (36). There were only 7 studies providing the cancer grade data (2224,28,30,32,34). The main characteristics of the included studies are summarized in Tables I and II.

Figure 1.

Figure 1.

Flow chart of study identification.

Table I.

Characteristics of eligible studies in the meta-analysis.

Adiponectin level, mean ± SD

First author, year Ethnicity Age differencea Diagnostic criteria No. cases/controls Case Control Study size Study quality Pre-/post-menopause Control source and status Publication Language Assay Refs.
Friedenreich, 2012 N Am None NS 514/962 11.6±1.6 14.6±1.9 ≥100 8 Both Population, healthy English ELISA (18)
Ashizawa, 2010 Asian None FIGO 146/150 6.2±0.4 9.0±0.4 ≥100 8 Post- Hospital, healthy English ELISA (19)
Er, 2011 Asian None FIGO 49/44 8±4 13±5 <100 7 Both Hospital, healthy Chinese ELISA (20)
Friedenreich, 2011 N Am None NS 121/262 10.1±5.1 13.8±7.4 ≥100 8 Pre- Population, healthy English ELISA (21)
Friedenreich, 2011 N Am None NS 394/700 14.5±8.5 18.1±9.5 ≥100 8 Post- Population, healthy English ELISA (21)
Fu, 2012 Asian None NS 20/30 6.7±1.1 10.0±1.4 <100 7 Pre- Hospital, healthy Chinese ELISA (22)
Fu, 2012 Asian None NS 15/30 9.2±1.0 10.0±1.4 <100 7 Post- Hospital, healthy Chinese ELISA (22)
Wang, 2013 Asian None FIGO 135/135 15.3±2.3 6.8±1.1 ≥100 8 Both Hospital, healthy Chinese ELISA (23)
Li, 2011 Asian Higher FIGO 62/20 6.86±1.09 15.24±2.32 <100 6 Both Hospital, healthy Chinese ELISA (24)
Ma, 2013 Asian None NS 206/310 2330.7±180.5 2583.9±147.2 ≥100 8 Both Hospital, healthy English ELISA (25)
Mihu, 2013 European None NS 44/44 7374.17±4701.35 11045.68±3920.93 <100 5 Both Hospital, Patientsb English ELISA (26)
Petridou, 2003 European None NS 84/84 12.37±6.25 13.53±5.26 ≥100 7 Both Hospital, Patientsc English RIA (27)
Rzepka-Górska, 2008 European NS NS 37/48 15.28±5.74 22.7±13.37 <100 5 Both Population, healthy English RIA (28)
Soliman, 2006 N Am Higher GOTB 117/238 88.8±63.6 148.2±68.3 ≥100 7 Both Hospital, Patientsd English ELISA (29)
Tan, 2012 Asian None FIGO 37/12 5.83±2.28 15.34±3.05 <100 7 Both Hospital, healthy Chinese ELISA (30)
Tang, 2012 Asian None FIGO 85/85 14.2±3.2 19.2±5.4 ≥100 8 Post- Hospital, healthy Chinese ELISA (31)
Xu, 2014 Asian None FIGO 56/21 5.89±0.96 16.12±2.76 <100 6 Both Hospital, healthy Chinese ELISA (32)
Yurkovetsky, 2007 N Am None NS 115/135 19.2±0.89 23.3±0.68 ≥100 7 Both Population, healthy English xMAP, immune assay (33)
Zhang, 2010 Asian Higher FIGO 64/25 8.2±4.17 13.33±5.61 <100 6 Both Hospital, healthy Chinese ELISA (34)
Zhou, 2013 Asian None FIGO 36/20 5.43±2.45 15.43±2.56 <100 7 Both Hospital, healthy Chinese ELISA (35)
a

Case relative to control.

b

Patients without gynecological pathology or inflammatory disorders.

c

Patients with minor gynecologic problems.

d

Patients without history of cancer. SD, standard deviation; N Am, North American; NS, not stated; GOTB, the Gynecologic Oncology Tumor Bank; FIGO, International Federation of Gynecology and Obstetrics; RIA, radioimmunoassay; ELISA, enzyme linked immunosorbent assay.

Table II.

Characteristics of eligible studies in this meta-analysis depending on grade.

No. cases Adiponectin level (mean ± standard deviation)


First author, year G1 G2 G3 G1 G2 G3 Refs.
Fu, 2012 6 24 5 6.1±0.7 7.9±1.4 9.6±1.2 (22)
Wang, 2013 74 42 19 13.2±1.2 9.6±1.4 6.2±0.9 (23)
Li, 2011 17 62 27 6.37±0.61 6.89±0.62 6.45±0.59 (24)
Rzepka-Górska, 2008 12 13 8 19.04±9.43 13.48±5.95 12.86±1.25 (28)
Tan, 2012 12 37 10 7.98±2.18 5.49±1.48 3.74±0.65 (30)
Xu, 2014 27 19 10 6.06±0.72 6.83±0.75 6.22±0.94 (32)
Zhang, 2010 40 17 7 9.31±4.65 7.11±2.18 4.47±1.35 (34)

Search strategy

The US National Library of Medicine's PubMed database (http://www.ncbi.nlm.nih.gov/pubmed/) was searched using the terms ‘endometrial cancer’ ‘endometrial carcinoma’ ‘adiponectin’ ‘Adipo’ and ‘APN’ to assess the possibility of conducting the present study. A comprehensive literature search was conducted in PubMed, SpringerLink (http://link.springer.com/) and Google Scholar (http://scholar.google.com.hk) up to June 2014 using the terms ‘adiponectin’ or ‘Adipo’ or ‘APN’ and ‘endometrial cancer’ or ‘endometrial carcinoma’. The search was limited to English and Chinese. Additional studies were also identified by manually searching references of original studies and by reviewing articles on the topic. Eligible studies in the current meta-analysis were those of case-control design, which reported the correlation between circulating APN levels and endometrial cancer. The present study was performed in accordance to the MOOSE guidelines for meta-analysis (37).

Data extraction

Data were independently extracted by two researchers. For each eligible study, the following information was recorded: The first author, year of publication, ethnicity, study size and number of cases, APN measurement method, total APN mean and standard deviation (38), menopausal status, control source and health status and language of publication. For one study (18) that provided the outcomes in medians and interquartile ranges, these were converted to the means and standard deviations (39). Any missing data from studies was obtained by communicating with the authors. The quality of each study was assessed by Newcastle-Ottawa Scaling (36).

Statistical analysis

The standardized mean differences (SMDs) of the total circulating APN were calculated for all of the eligible studies in the meta-analysis, as they were measured in different units across studies. A fixed effects model was used to pool the data when the P-value of the Q-test was ≥0.05; otherwise a random effects model was selected (40). The Q and I2 statistics were used in order to evaluate the heterogeneity amongst the results of the studies. When I2>50%, the heterogeneity was considered significant (41). A sensitivity analysis was conducted by exclusion of the studies; subgroup analysis according to study size, study quality, ethnicity, menopausal status, control source, language of publication and laboratory assay. Cumulative meta-analyses were performed in order to observe the change of the association with time and sample size (42). Furthermore, a funnel plot and Egger's test was used to assess the publication bias, and P<0.05 was considered to indicate a statistically significant difference (43,44). All the analyses were performed using Stata software version 11.0 (StataCorp LP, College Station, TX, USA).

Results

Main analysis

The results of the meta-analysis of the association between circulating APN levels and endometrial cancer included 20 data sets from 18 studies (Fig. 2). It was identified that women with endometrial cancer had significantly lower APN levels in the pooled analysis using a random-effects model [SMD (95% CI), −1.96 (−2.60, −1.31); P<0.001], yet with significant heterogeneity among studies (I2>50%). Egger's test for publication bias did not provide evidence of significant effect (P>0.05). There were 7 studies providing cancer grade. On comparison of cancer grades, APN values were not statistically different between the different grades of endometrial cancer [G1 vs. G3, 1.02 (−0.68, 2.72), P>0.05; G1 vs. G2, 0.34 (−0.86, 1.54), P>0.05].

Figure 2.

Figure 2.

SMD adiponectin values in endometrial cancer and matched controls and pooled estimate (random effects). CI, confidence interval; SMD, standardized mean difference.

Subgroup/sensitivity analysis

Sensitivity analysis was performed by deleting one study at a time, and the pooled SMD for the remaining studies was calculated in order to check the influence of the removed data. The results revealed that 5 studies were the key contributors to the heterogeneity among studies (Fig. 3) (19,23,24,32,33). Although heterogeneity existed after excluding these studies, the results revealed no significant alteration with an SMD (95% CI) of −1.288 (−1.655, −0.922) and P<0.001. To identify potential sources of heterogeneity between studies, subgroup analysis was also performed by study size and quality, ethnicity, menopausal status, language of publication, control source and laboratory assay. The heterogeneity existed in subgroup analysis, and the association between small-sized and low-quality studies was identified to be stronger than in large-sized and high-quality studies. The present study suggested that the difference in study size and quality of the cases and the controls was due to the heterogeneity amongst the studies. The total effect values in Asia, Europe and North America were −2.48 (−3.97, −0.99), −0.52 (−0.90, −0.14) and −1.71 (−2.60, −0.82), respectively. The total effect value of postmenopausal endometrial cancer patients was −2.27 (−4.36, −0.18), which revealed that the high APN level was associated with decreased endometrial cancer risk in postmenopausal women (P<0.05). However, there was no association in premenopausal endometrial cancer [-1.52 (−3.49, 0.45), P>0.05]. Furthermore, the risk of low APN level to endometrial cancer did not differ substantially by laboratory assay, control sources and language of publication. These results are presented in Table III.

Figure 3.

Figure 3.

Effect of circulating adiponectin on endometrial cancer. CI, confidence interval; SMD, standardized mean difference.

Table III.

Stratified meta-analysis of circulating adiponectin levels and endometrial cancer.

Endometrial cancer (N)

Characteristic Data points (N) Yes No Random effects P-value I2 (%)
All studies 20 2337 3355 −1.96 (−2.60, −1.31) 0.000 98.9
Study size
  <100 10 420 294 −2.58 (−3.57, −1.60) 0.000 96.0
  ≥100 10 1917 3061 −1.37 (−2.28, −0.46) 0.003 99.4
Study quality
  Low (score <7)   5 263 158 −2.81 (−4.46, −1.16) 0.001 97.5
  High (score ≥7) 15 2074 3197 −1.70 (−2.44, −0.96) 0.000 99.1
Ethnicity
  Asia 12 911 882 −2.48 (−3.97, −0.99) 0.001 99.1
  Europe   3 165 176 −0.52 (−0.90, −0.14) 0.007 65.1
  North America   5 1261 2297 −1.71 (−2.60, −0.82) 0.000 99.2
Pre-/post-menopause
  Both 14 1556 2098 −1.95 (−2.81, −1.08) 0.000 98.9
  Pre-   2 141 292 −1.52 (−3.49, 0.45) 0.131 95.9
  Post-   4 640 965 −2.27 (−4.36, −0.18) 0.033 99.3
Laboratory assay
  ELISA 17 2101 3088 −1.94 (−2.62, −1.26) 0.000 98.9
  RIA   2 121 132 −1.96 (−2.60, −1.31) 0.086 68.6
  xMAP   1 115 135 −5.23 (−5.76, −4.71)
Control source
  Hospital 15 1156 1248 −2.09 (−3.12, −1.06) 0.000 98.9
  Population   5 1181 2107 −1.68 (−2.63, −0.72) 0.001 99.2
Control status
  Healthy 17 2063 3077 −1.83 (−2.48, −1.17) 0.000 98.8
  Patients without EC   3 274 278 −2.65 (−6.13, 0.85) 0.137 99.5
Publication language
  English 10 1778 2933 −1.86 (−2.57, −1.14) 0.000 99.0
  Chinese 10 559 422 −2.13 (−3.91, −0.34) 0.019 98.9

Random effects data are presented as the standardized mean difference (95% confidence interval). RIA, radioimmunoassay; EC, endometrial cancer.

Cumulative meta-analysis

To further observe the change in the association between circulating APN levels and endometrial cancer, the cumulative meta-analysis was performed and sorted by year and total size (Figs. 4 and 5). Data analysis suggests that the risk of low APN levels to endometrial cancer was not observed all the time and requires further study in order to confirm this result. Nevertheless, patients with endometrial cancer were observed to have markedly lower APN values compared with the controls.

Figure 4.

Figure 4.

Cumulative analysis by year of circulating adiponectin on endometrial cancer. CI, confidence interval; SMD, standardized mean difference.

Figure 5.

Figure 5.

Cumulative analysis by total size of circulating adiponectin on endometrial cancer. CI, confidence interval; SMD, standardized mean difference.

Estimation of publication bias

Begg's funnel plot and Egger's test were performed to assess the publication bias. The Funnel plot revealed a slight asymmetry in the distribution but Egger's regression test suggested no significant asymmetry of the Funnel plot (P=0.229).

Discussion

The majority of previous studies have suggested that there is an independent and negative association of circulating APN with endometrial cancer, however, a number of studies indicated no association (29,45,46). Since the results of a single study may be affected by numerous factors, the present study included 18 studies, which comprised a total of 4,186 participants and 1,823 cases, to further detect the risk of low APN in endometrial cancer by reducing the bias and by increasing the efficiency of the statistics. In the present study, significantly low APN levels were observed in women with endometrial cancer in the pooled analysis, although there was clear heterogeneity across the studies. When the cancer grades were compared, the risk of low APN to endometrial cancer was not significantly different between grades of endometrial cancer, which was not identical with previous studies (2224,28,30,32,34). In the subgroup and sensitivity analyses, there was significant heterogeneity among studies. The significant association existed in all of the pooled analysis, but not in premenopausal women, the radioimmunoassay or patients without EC from control sources. The risk was identified to be stronger in small-sized and low-quality studies than in large-sized and high-quality studies, suggesting that the effect of APN may be strongly affected by the small-sized and low-quality studies. A previous study indicated that high APN levels may decrease the risk of postmenopausal endometrial cancer (28). However, there was no significant difference in premenopausal women, which was in contrast with various other studies (29,47,48). Since the female gender and hormone levels are recognized risk factors for endometrial cancer and the mechanism remains unclear, the risk of low APN levels on endometrial cancer of pre- and postmenopausal women is difficult to fully investigate. In the other subgroups, no significant differences were observed in the risk of low APN to endometrial cancer. In the cumulative meta-analysis that was undertaken in the present study, the risk of low APN to endometrial cancer changed with time and sample size. Therefore, further studies are required in order to identify the risk.

The mechanisms of action of APN in regards to endometrial cancer have not yet been fully elucidated. APN is a link between obesity and obesity-associated malignancies, mainly on the basis of the finding that APN levels are lower in patients who suffer with these types of cancer. AdipoR1/AdipoR2 are the two different receptor isoforms of APN, which are expressed in fat and muscle tissues in humans. The expression levels of these receptors are regulated by insulin and peroxisome proliferator-activated receptors (PPAR)-α and -γ. It has been demonstrated that the receptors have lower expression levels in subcutaneous and visceral adipose tissues than in skeletal muscle. Furthermore, previous studies confirmed that there was a strong, inverse and consistent association between circulating APN and obesity, insulin resistance and inflammatory markers, including C-reactive protein and fibrinogen. Thus, several case-control studies demonstrated that APN receptors, particularly AdipoR1, are upregulated in malignancies such as endometrial cancer. Furthermore, there is a possibility that APN affects cancer cell proliferation and tumor formation and progression directly by receptor-mediated stimulation of signaling pathways and indirectly by moderating insulin sensitivity. APN binding to its receptors (AdipoR1/AdipoR2) may exert direct effects on these malignancy signaling pathways, mainly 5′ adenosine monophosphate-activated protein kinase (AMPK), but also PPAR-α, mitogen-activated protein kinase and nuclear factor (NF)-κB. AMPK activation regulates cell proliferation, decreases the expression of transcriptional regulators and positively regulates important proteins associated with controlling cell cycle arrest and apoptosis. It is suggested that APN may affect tumor cells by directly inhibiting pro-angiogenic factors, including basic fibroblast growth factor and interleukin-8 produced by tumors, or platelet-derived growth factor BB produced by endothelial cells. APN also exerts an indirect action by insulin-sensitizing, anti-inflammatory and anti-angiogenic effects. Hyperinsulinemia, obesity and physical inactivity result in higher concentrations of circulating sex hormone-binding globulin and insulin-like growth factor 1, which leads to increased cell proliferation, decreased apoptosis and increased inflammation. In vitro studies to date reveal that APN decreases cell viability and proliferation in endometrial cancer. Although these results are promising, further studies are required in animals and humans to elucidate the effects of circulating APN and its association with endometrial cancer.

To the best of our knowledge, the present study was the first to perform a meta-analysis that adds to the current understanding of the association between circulating APN levels and endometrial cancer. The present study included a large number of cases and controls that significantly increased its statistical power. However, several limitations in the study should be addressed. The study is based on observational studies (case-control) and is particularly vulnerable to potential biases (information or selection bias) and bias in the original studies. The significant heterogeneity observed across the results of the study reduces the reliability of the observations, suggesting different outcomes across studies with different patients, controls, methods and measurements. All eligible studies were published in English and Chinese and a number of relevant studies in other languages were not included. Additionally, the conversion of non-normally distributed statistics maybe have been less accurate than if individual data had been available. Finally, the sample sizes for certain subgroup analyses were small. Therefore, the conclusions drawn from the results of this meta-analysis should be regarded cautiously.

In summary, the present study indicated that low circulating APN levels may increase the risk of endometrial cancer, although there was a significant heterogeneity across the studies, and that the high APN level may decrease the risk of endometrial cancer in postmenopausal women. As APN is theorized to affect cell proliferation, tumor formation and progression of endometrial cancer, it may be a promising tool in endometrial cancer prevention, diagnosis and therapy as a simple biomarker. However, further studies are required in order to elucidate the mechanisms of APN.

Acknowledgements

The authors are very grateful to Dr Petridou for providing the additional data requested. This present research was supported by the Graduate Innovation Fund of Jilin University (grant no. 2014113).

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