Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2015 Jun 1;10(6):e0129824. doi: 10.1371/journal.pone.0129824

Circulating Adiponectin and Risk of Endometrial Cancer

Qiaoli Zheng 1,2, Haijian Wu 3, Jiang Cao 1,*
Editor: Masaki Mogi4
PMCID: PMC4452093  PMID: 26030130

Abstract

Background

Adiponectin is an insulin-sensitizing hormone produced by adipocytes. It has been suggested to be involved in endometrial tumorigenesis. Published data have shown inconsistent results for the association between circulating adiponectin levels and endometrial cancer. In this study, we conducted a meta-analysis to evaluate the predictive value of circulating adiponectin levels on the development of endometrial cancer.

Methods

PubMed, Embase, ISI web of knowledge, and Cochrane databases were searched for all eligible studies, and the summary relative risk (SRR) was calculated. Additionally, we performed dose-response analysis with eight eligible studies.

Results

A total of 1,955 cases and 3,458 controls from 12 studies were included. The SRR for the ‘highest’ vs ‘lowest’ adiponectin levels indicated high adiponectin level reduced the risk of endometrial cancer [SRR = 0.40, 95% confidence interval (CI), 0.33–0.66]. Results from the subgroup analyses were consistent with the overall analysis. The SRR for each 1 µg/ml increase of adiponectin indicated a 3% reduction in endometrial cancer risk (95% CI: 2%–4%), and a 14% reduction for each increase of 5 µg/ml (95% CI: 9%–19%). No evidence of publication bias was found.

Conclusions

This meta-analysis demonstrates that low level of circulating adiponectin is a risk factor for endometrial cancer.

Introduction

Endometrial cancer is one of the most frequently diagnosed diseases in gynecologic cancers, with an estimated 280,000 new cases per year worldwide [1]. Obesity increases the risk of endometrial cancer, with an overall risk ratio of 1.60 (p < 0.0001) per 5 kg/m2 increase in body mass index (BMI) showed by a large meta-analysis [2], which may be caused by insulin resistance, increased sex steroid, chronic systemic inflammation and alterations of the levels of adipocyte-derived factors [3,4].

Adipose tissue secretes a number of bioactive substances including adiponectin, leptin, resistin, and tumor necrosis factor-γ (TNF-γ) [5]. Adiponectin is the most abundant adipocyte-derived factor, which is an insulin-sensitizing hormone and suggested to be involved in endometrial tumorigenesis [6]. The anti-angiogenic, anti-inflammatory and anti-apoptotic properties of adiponectin may mediate its anti-tumor effects [6]. The circulating adiponectin levels were low in obesity and increased after severe weight loss [7,8]. Experimental evidence suggests that the relationship between adiponectin concentrations and BMI was inverse [9]. Although there were lines of in vitro and ex vivo evidence for a causal role of adiponectin in endometrial cancer [10], results from epidemiologic studies are inconsistent, and most studies are limited to small sample size. In some case-control studies, high circulating levels of adiponectin were shown to be associated with a significant decrease in risk of endometrial cancer [1117], while other studies showed no significant associations [1821]. As circulating adiponectin level is an easily monitored marker and may be useful in prevention and early diagnosis of endometrial cancer, it will be of great importance to clarify the association between adiponectin levels and endometrial cancer risk. In this work, we conducted a meta-analysis with all eligible studies to assess the association between circulating levels of adiponectin and endometrial cancer risk. We also performed a dose-response meta-analysis and examined the possibility of both the linear and nonlinear associations.

Materials and Methods

Literature search

PubMed, Embase, ISI web of knowledge, and Cochrane databases were searched with the following terms: “endometrial” or “endometrium” and “neoplasm” or “cancer” or “carcinoma” and “adiponectin” or “ACDC” or “ADPN” or “APM1” or “APM-1” or “GBP28” or “ACRP30” or “ADIPOQ”. Additional articles were identified from searching the bibliographies of retrieved articles.

Study selection

All articles were independently reviewed by two investigators. Studies were included if they met the following criteria: 1) the study evaluates the relationship between circulating adiponectin levels and endometrial cancer risk; 2) the study is a case-control or cohort study; 3) the study reports relative risk estimates or crude data for circulating adiponectin levels; 4) the study which reports the estimates for at least three categories of adiponectin levels is included for dose-response analysis. Studies were excluded if they: 1) are reviews without original data; 2) reported overlapping data from the same study population; 3) did not compare a formally recognised study design (such as cohort studies or case-control studies); 4) were available only in abstract.

Data extraction

Data were extracted by two independent investigators using a predefined database. The following data were included: the first author’s surname; country of origin; year of publication; study name and study period; study design; sample size; mean age of individuals; menopausal status of individuals; laboratory assays for adiponectin levels; relative risk estimate [RR, 95% confidence interval (CI)] for “highest” vs “lowest” category [22] of adiponectin or dose-response (DR), and adjustment factors.

Statistical analysis

We combined both odds ratios (ORs) and relative risks (RRs), for calculating the summary relative risk (SRR). The multivariate-adjusted risk estimates and corresponding confidence intervals were transformed into log relative risks for meta-analyses [23]. Pooled estimates of SRR were calculated by using an inverse-variance weighted random-effects model for the ‘highest’ vs the ‘lowest’ category of baseline adiponectin concentration [24]. The I 2 test [25] and Cochran’s Q-statistic test [26] were used to assess between-study heterogeneity. I 2 values of 0–25%, 25–50% and 50–75% indicate no, low, and moderate heterogeneity, respectively. A low p-value of Cochran’s Q-statistic (<0.05) indicates significant heterogeneity among studies. To investigate the effect of potential confounders, we conducted subgroup analyses by considering all the possible factors, such as study population, menopausal status of individuals, and adjustment factors for age, BMI, hypertension and diabetes. To evaluate the stability of the pooled estimates, we performed sensitivity analysis by examining changes in results after sequential omission of individual studies.

The summary estimate of the dose-response effect of adiponectin levels on endometrial cancer risk was calculated using fixed-effects model. Generalized least-squares regression was utilized to estimate the linear trend in SRR, while the method of restricted cubic spline was applied for nonlinear trend estimation [27]. Publication bias was graphically assessed using the Begg and Egger’s test [28,29]. All of the above analyses were performed by using STATA version 12 (StataCorp, College Station, TX).

Results

Study characteristics

A total of 12 eligible studies [1121,30] including 1,955 cases and 3,458 controls were identified through search process (Fig 1). Among them, one study reported results from dose-response analyses [30], while the other 11 studies reported ORs for several categories of circulating adiponectin level [1121]. The main characteristics of these studies are presented in Table 1. Five studies were conducted in North-America [12,14,16,19,20], four in Europe [11,13,15,30], and three in Asia [17,18,21]. Of the 12 case-control studies, five were hospital-based [11,15,17,18,30], three were population-based [12,14,21], and four were nested studies [13,16,19,20]. Adiponectin levels were measured by enzyme-linked immunosorbent assay (ELISA) in nine studies [1215,1721] and by radioimmunoassay (RIA) in three studies [11,16,30]. In one article the authors calculated RR [13], the other studies reported ORs [11,12,1421,30]. A total of eight studies with sufficient data were included in dose-response meta-analysis [11,1316,1820].

Fig 1. Flowchart of the study selection process.

Fig 1

Table 1. Characteristics of studies included in the meta-analysis.

Author, year, country Study name, study period Study design No. cases/controls Mean age (years) cases/controls Menopausal status Assay method Adiponectin levels (µg/ml) cases/controls RR (95% CI) for “highest” vs “lowest” category of adiponectin or dose-response (DR) Adjustment factors
Petridou et al.,2003, Greece 1999 Case-control (HB) 84/84 NA Mainly post RIA NA/13.53 0.80 (0.58–1.10) (DR) Age, education, height, BMI before onset of symptoms, Age at menarche, Ever pregnant
Maso et al., 2004, Italy 1991–2002 Case-control (HB) 87/132 62/61 51(23%) pre, 168(77%) post RIA 11.4/16.0 0.30 (0.14–0.68) Age, education, parity, BMI, smoking, HRT
Soliman et al., 2006, USA 2000–2004 Case-control (PB) 117/238 66.6/61.2 NA ELISA 8.88/14.82 0.10 (0.04–0.24) Age, BMI, diabetes, hypertension
Cust et al., 2007, Europe EPIC, 1999–2003 Case-control (Nested) 284/548 56.9/56.9 159(19%) pre, 563(68%) post, 110(13%) NA ELISA 8.4/9.9 0.56 (0.36–0.86) BMI
Ashizawa et al., 2010, Japan 2004–2008 Case-control (HB) 150/150 59.5/57.5 All post ELISA 6.2/9.0 0.6 (0.3–1.2) Age, BMI, diabetes mellitus, hypertension
Soliman et al., 2011, USA NHS, 1989–2004 Case-control (Nested) 146/377 57/57 87(17%) pre, 436(83%) post ELISA 12.9/12.9 0.98 (0.57–1.68) BMI, parity, diabetes
Friedenreich et al., 2012, Canada 2002–2006 Case-control (PB) 549/1036 59/59 163(10%) pre, 1422(90%) post ELISA 11.6/14.6 0.47 (0.33–0.69) Age at reference, nulliparous (vs multiparous), HRT, menopausal hormone use, hypertension, weight at reference, date, and waist-to-hip ratio
Dallal et al., 2013, USA FIT, 1992–2004 Case-control (Nested) 62/124 67.4/67.5 All post ELISA 14.3/14.6 1.31 (0.55–3.12) BMI
Erdogan et al., 2013, Turkey 2012–2013 Case-control (HB) 60/70 56.6/49.7 All post ELISA 4.09/17.13 0.09 (0.02–0.36) Age, BMI, HOMA-TR, QUICK-I
Luhn et al., 2013, USA PLCO, 1993–2001 Case-control (Nested) 167/327 66.4/NA All post RIA 12.16/14.77 0.48 (0.29–0.80) family history of breast or endometrial cancer, education level, parity, history of diabetes diagnosis, oral contraceptive use, and current smoking status
Ma et al., 2013, China 2008–2010 Case-control (HB) 206/310 53.2/53.3 NA ELISA 2.33/2.58 0.52 (0.32–0.83) BMI, glucose, cholesterol, triglycerides, high density lipoprotein cholesterol, age, insulin and leptin-to-adiponectin (L/A)
Ohbuchi et al., 2013, Japan 2006–2007 Case-control (PB) 43/62 61.2/58.1 NA ELISA 4.9/7.0 0.50 (0.07–3.45) Age, BMI, hypertension, and diabetes mellitus

RR, relative risk; CI, confidence interval; DR, dose-response; HB, hospital-based; NA, not applicable; RIA, radioimmunoassay; BMI, body mass index; pre, premenopause; post, postmenopause; HRT, hormone replacement therapy; PB, population-based; ELISA, enzyme-linked immunosorbent assay; EPIC, European Prospective Investigation into Cancer and Nutrition cohort study; NHS, Nurses’ Health Study; FIT, the Fracture Intervention Trial; HOMA-IR, the homeostasis model assessment of insulin resistance; QUICKI, quantitative insulin sensitivity check index; PLCO, Prostate, Lung, Colorectal and Ovarian cancer screening trial.

“Highest” vs “lowest” category of adiponectin

The SRR for the “highest” vs “lowest” category of adiponectin levels was 0.47 (95% CI: 0.33–0.66, p < 0.001), which indicated a 53% reduction in endometrial cancer risk (Fig 2) [1121,30]. Some evidence of between-group heterogeneity was found in the analysis (I 2 = 67.5%, p = 0.001). Therefore, we conducted subgroup analysis to evaluate the influence of single factor that might have impact on the result. Table 2 demonstrates the results from subgroup analyses. In the subgroup analyses by districts and several adjustment factors, including BMI, hypertension and diabetes, the results were basically consistent with overall result. However, the “lowest” category of adiponectin didn’t significantly increase the risk of endometrial cancer in the premenopausal women (p = 0.807), neither in the group not adjusted for age (p = 0.099). Compared with the overall analysis, lower evidence of heterogeneity was found in postmenopausal women (I 2 = 53.8%) [11,13,15,16,1820], in studies adjusted for age (I 2 = 64.8%) [11,12,14,15,17,18,21], and in studies not adjusted for age (I 2 = 53.9%) [13,16,19,20], hypertension (I 2 = 64.2%) [11,13,1517,19,20] and diabetes (I 2 = 58.8%) [11,1315,17,20]. No evidence of substantial heterogeneity was found in premenopausal women (I 2 = 0.0%) [11,13,19], in studies conducted in Asia (I 2 = 29.1%) [17,18,21], and in studies not adjusted for BMI (I 2 = 0.0%) [14,16].

Fig 2. Forest plot of the ‘highest’ vs the ‘lowest’ category of circulating adiponectin and endometrial cancer risk.

Fig 2

RR, relative risk; CI, confidence interval.

Table 2. Subgroup analyses for circulating adiponectin and endometrial cancer risk.

No. of studies RR (95% CI) P(Z) I 2 P(Q) Reference
Overall 11 0.47 (0.33–0.66) <0.001 67.5% 0.001 [1121,30]
District
    Asia 3 0.54 (0.37–0.80) 0.002 0.0% 0.943 [17,18,21]
    Europe 3 0.31 (0.13–0.73) 0.007 70.2% 0.035 [11,13,15]
    North-America 5 0.51 (0.27–0.95) 0.034 82.6% <0.001 [12,14,16,19,20]
Menopausal status
    Pre 3 0.92 (0.45–1.87) 0.807 29.1% 0.244 [11,13,19]
    Post 7 0.50 (0.33–0.76) 0.001 53.8% 0.043 [11,13,15,16,1820]
    Combined 4 0.34 (0.18–0.66) 0.001 72.8% 0.012 [12,14,17,21]
Adjustment factors
    Age
    Yes 7 0.34 (0.21–0.54) <0.001 64.8% 0.009 [11,12,14,15,17,18,21]
    No 4 0.71 (0.47–1.07) 0.099 53.9% 0.089 [13,16,19,20]
    BMI
    Yes 9 0.45 (0.28–0.73) 0.001 73.7% <0.001 [1113,15,1721]
    No 2 0.47 (0.35–0.64) <0.001 0.0% 0.948 [14,16]
    hypertension
    Yes 5 0.35 (0.16–0.74) 0.006 73.3% 0.010 [12,14,18,21]
    No 6 0.54 (0.36–0.81) 0.002 64.2% 0.010 [11,13,1517,19,20]
    diabetes
    Yes 5 0.44 (0.22–0.91) 0.027 78.4% 0.001 [12,16,18,19]
    No 6 0.48 (0.33–0.71) <0.001 58.8% 0.033 [11,1315,17,20]

RR, relative risk; CI, confidence interval; pre, premenopause; post, postmenopause; BMI, body mass index.

Dose-response meta-analysis

We evaluated the dose-response effect of adiponectin levels on endometrial cancer risk. An inverse linear dose-response correlation was observed from pooled 8 studies (p < 0.001), with a 3% (95% CI: 2%-4%) reduction of endometrial cancer risk for each 1 g/ml increase of adiponectin, and a 14% (95% CI: 9%-19%) reduction for each 5 g/ml increase of adiponectin. Additionally, a statistically nonlinear correlation between adiponectin level and endometrial risk was also observed (p < 0.001). No evidence of heterogeneity was observed when we calculated either the linearity (p = 0.10) or the nonlinearity (p = 0.25).

Sensitivity analysis and publication bias

We conducted a sensitivity analysis in which individual studies were sequentially omitted and the rest analyzed. The results indicated none of the single studies significantly affected the SRRs. We did not detect any publication bias by the Egger’s (p = 0.497) or Begg’s test (p = 0.533).

Discussion

Our meta-analysis suggests an inverse correlation between circulating adiponectin level and endometrial cancer, with a 53% reduction in risk for higher levels. The result was consistently significant in all sensitivity analyses and in all populations studied. However, no significant associations were observed in premenopausal women, and in studies not adjusted for age. The dose-response analysis shows that each 1 g/ml increase of adiponectin corresponds to 3% reduction in risk of endometrial cancer. The overall dose-response association was estimated by Petridou et al., but it was not significant which might due to the limited number of subjects analyzed [30]. Moreover, we found a statistically nonlinear correlation between adiponectin and endometrial cancer risk.

In our stratified analysis by menopausal status, we only found a statistically significant association between adiponectin level and endometrial cancer risk in postmenopausal women. Indeed, three studies including only 297 subjects reported nonsignificant results among premenopausal women [11,13,19]. The small sample size may not be sufficiently powerful to detect a difference between the groups. On the other hand, endometrial cancer is more common in postmenopausal women than in premenopausal women [31]. Obesity is a strong risk factor for endometrial cancer with the level of risk related to BMI [32]. When considering the BMI, we found that lower levels of circulating adiponectin increased endometrial cancer risk in studies adjusted for BMI, which was consistent with the overall results. We observed a statistically significant heterogeneity across the studies included in the meta-analysis. Some evidence of heterogeneity was also observed in subgroup analyses, therefore we calculated the summary estimates using the random effect models which is more conservative.

Many studies have addressed on the mechanisms for the role of adiponectin on reducing endometrial cancer risk. One major mechanism is that adiponectin can decrease blood insulin levels [5,3335], and therefore can inhibit cancer development, as the insulin-upregulated estrogen is one of the predominant risk factor for endometrial cancer [13,20,32,36,37]. In addition, the association between adiponectin level and endometrial cancer suggests that insulin resistance may play an important role in endometrial carcinogenesis [11,12,14,1619,21]. Dal Maso et al. also observed that high-glycemic load diets, which cause high levels of blood glucose and insulin, are directly related to endometrial cancer risk [11]. Inflammation is considered to play an important role in the initiation and progression of tumor [38]. Adiponectin may have strong anti-inflammatory activity, and could also potentially reduce the risk of endometrial cancer thereby [34,3944]. Furthermore, adiponectin-induced caspase-mediated endothelial cell apoptosis and showed anti-angiogenesis and anti-tumor activity [45]. Moreover, adiponectin may inhibit estrogen receptor α and vascular endothelium growth factor, thus suppressing cell proliferation, invasiveness and angiogenesis in vitro [17]. Finally, adiponectin can suppress the proliferative actions of several mitogenic growth factors by blocking their interaction with the membrane receptors [44,46]. It has been assumed that adiponectin may prevent carcinogenesis through invoking AMPK and suppressing phosphatidylinositol 3-kinase (PI3K)/AKT/mTOR signaling [15]. Therefore the circulating adiponectin plays a protective role in the development of endometrial cancer [1117], which is accordance with the conclusion of our meta-analysis.

In addition, adiponectin circulates in plasma in three forms of low-molecular-weight (LMW) oligomeric complex of a trimer, a middle-molecular-weight (MMW) complex of two trimers and a high-molecular-weight (HMW) complex of up to six trimers [47]. Experimental evidence suggests that different forms of adiponectin may have distinct biological effects, such that the HMW form was suggested to be more closely related to insulin sensitivity, while complexes with lower molecular weight may have stronger anti-inflammatory potential [48]. A study reported that low serum level of MMW adiponectin was the only independent risk factor for endometrial cancer [21]. Further studies are needed to identify the correlation of serum levels or the ratios of different adiponectin isoforms with the risk of endometrial cancer.

The current meta-analysis supports the direct link between lower level of circulating adiponectin and increased endometrial cancer risk. By combining information from all relevant studies, our meta-analysis overcomes the limitations of time period and the specific subject population of study, increases the sample size and thus the power to study effects of interest. Although endometrial cancer is a frequent gynecologic cancer, it is a relatively low-incidence disease compared to other common cancers such as breast cancer, lung cancer and colorectal cancer, odds ratio (OR) can be used as a good estimate of relative risk. Therefore it is appropriate to combine both ORs and RRs for calculating a summary relative risk. However, this study still has several limitations. First, selection bias may exist, because parts of control subjects are hospital-based, who might have benign disease and different risks for developing endometrial cancer. Second, adjustments for the clinicopathological parameters, which may result in measurement error, together with other inter-study variances enhance the between-study heterogeneity. Third, some of the findings in subgroups are limited by small sample sizes. Further large prospective cohort studies should be carried out to investigate the optimal level of adiponectin with a protective effect on endometrial cancer. Although various pharmacological and non-pharmacological interventions have been adopted to influence adiponectin levels, the clinical relevance of the elevated adiponectin level to the reduction of the endometrial cancer risk remains to be determined [49].

Though adiponectin is expressed predominantly by adipose tissue, its plasma concentrations have been demonstrated to be negatively correlated with BMI, insulin resistance and insulin concentrations [50]. The expression of adiponectin is modulated at both genomic and epigenomic levels [51,52], therefore it is important to investigate the mechanisms for the down-regulation of adiponectin in endometrial cancer patients in the future for better prevention and treatment. In summary, this meta-analysis supports that lower level of circulating adiponectin is a risk factor for endometrial cancer. As a meta-analysis includes more cases than an individual study, it may draw a more convincing conclusion; in this case, the result of the study by Dallal CM et al. which showed that RR is in the opposite direction as we hypothesized (Fig 2) may result from the smaller sample size [20]. The result of this meta-analysis is strengthened by biologically plausible mechanisms underlying the roles adiponectin plays in cancers. Adiponectin may serve as a risk biomarker for endometrial cancer, and may have important clinical relevance in the prevention of endometrial cancer.

Supporting Information

S1 Checklist. PRISMA checklist for this meta-analysis.

(DOC)

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The authors received no specific funding for this work.

References

  • 1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61: 69–90. 10.3322/caac.20107 [DOI] [PubMed] [Google Scholar]
  • 2. Crosbie EJ, Zwahlen M, Kitchener HC, Egger M, Renehan AG. Body mass index, hormone replacement therapy, and endometrial cancer risk: a meta-analysis. Cancer Epidemiol Biomarkers Prev. 2010;19: 3119–3130. 10.1158/1055-9965.EPI-10-0832 [DOI] [PubMed] [Google Scholar]
  • 3. van Kruijsdijk RC, van der Wall E, Visseren FL. Obesity and cancer: the role of dysfunctional adipose tissue. Cancer Epidemiol Biomarkers Prev. 2009;18: 2569–2578. 10.1158/1055-9965.EPI-09-0372 [DOI] [PubMed] [Google Scholar]
  • 4. Park J, Euhus DM, Scherer PE. Paracrine and endocrine effects of adipose tissue on cancer development and progression. Endocr Rev. 2011;32: 550–570. 10.1210/er.2010-0030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Kadowaki T, Yamauchi T. Adiponectin and adiponectin receptors. Endocr Rev. 2005;26: 439–451. [DOI] [PubMed] [Google Scholar]
  • 6. Dalamaga M, Diakopoulos KN, Mantzoros CS. The role of adiponectin in cancer: a review of current evidence. Endocr Rev. 2012;33: 547–594. 10.1210/er.2011-1015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Arita Y, Kihara S, Ouchi N, Takahashi M, Maeda K, Miyagawa J, et al. Paradoxical decrease of an adipose-specific protein, adiponectin, in obesity. 1999. Biochem Biophys Res Commun. 2012;425: 560–564. 10.1016/j.bbrc.2012.08.024 [DOI] [PubMed] [Google Scholar]
  • 8. Christiansen T, Paulsen SK, Bruun JM, Ploug T, Pedersen SB, Richelsen B. Diet-induced weight loss and exercise alone and in combination enhance the expression of adiponectin receptors in adipose tissue and skeletal muscle, but only diet-induced weight loss enhanced circulating adiponectin. J Clin Endocrinol Metab. 2010;95: 911–919. 10.1210/jc.2008-2505 [DOI] [PubMed] [Google Scholar]
  • 9. Cnop M, Havel PJ, Utzschneider KM, Carr DB, Sinha MK, Boyko EJ, et al. Relationship of adiponectin to body fat distribution, insulin sensitivity and plasma lipoproteins: evidence for independent roles of age and sex. Diabetologia. 2003;46: 459–469. [DOI] [PubMed] [Google Scholar]
  • 10. Moon HS, Chamberland JP, Aronis K, Tseleni-Balafouta S, Mantzoros CS. Direct role of adiponectin and adiponectin receptors in endometrial cancer: in vitro and ex vivo studies in humans. Mol Cancer Ther. 2011;10: 2234–2243. 10.1158/1535-7163.MCT-11-0545 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Dal Maso L, Augustin LS, Karalis A, Talamini R, Franceschi S, Trichopoulos D, et al. Circulating adiponectin and endometrial cancer risk. J Clin Endocrinol Metab. 2004;89: 1160–1163. [DOI] [PubMed] [Google Scholar]
  • 12. Soliman PT, Wu D, Tortolero-Luna G, Schmeler KM, Slomovitz BM, Bray MS, et al. Association between adiponectin, insulin resistance, and endometrial cancer. Cancer. 2006;106: 2376–2381. [DOI] [PubMed] [Google Scholar]
  • 13. Cust AE, Kaaks R, Friedenreich C, Bonnet F, Laville M, Lukanova A, et al. Plasma adiponectin levels and endometrial cancer risk in pre- and postmenopausal women. J Clin Endocrinol Metab. 2007;92: 255–263. [DOI] [PubMed] [Google Scholar]
  • 14. Friedenreich CM, Langley AR, Speidel TP, Lau DC, Courneya KS, Csizmadi I, et al. Case-control study of markers of insulin resistance and endometrial cancer risk. Endocr Relat Cancer. 2012;19: 785–792. 10.1530/ERC-12-0211 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Erdogan S, Sezer S, Baser E, Gun-Eryilmaz O, Gungor T, Uysal S, et al. Evaluating vaspin and adiponectin in postmenopausal women with endometrial cancer. Endocr Relat Cancer. 2013;20: 669–675. 10.1530/ERC-13-0280 [DOI] [PubMed] [Google Scholar]
  • 16. Luhn P, Dallal CM, Weiss JM, Black A, Huang WY, Lacey JV Jr., et al. Circulating adipokine levels and endometrial cancer risk in the prostate, lung, colorectal, and ovarian cancer screening trial. Cancer Epidemiol Biomarkers Prev. 2013;22: 1304–1312. 10.1158/1055-9965.EPI-13-0258 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Ma Y, Liu Z, Zhang Y, Lu B. Serum leptin, adiponectin and endometrial cancer risk in Chinese women. J Gynecol Oncol. 2013;24: 336–341. 10.3802/jgo.2013.24.4.336 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Ashizawa N, Yahata T, Quan J, Adachi S, Yoshihara K, Tanaka K. Serum leptin-adiponectin ratio and endometrial cancer risk in postmenopausal female subjects. Gynecol Oncol. 2010;119: 65–69. 10.1016/j.ygyno.2010.07.007 [DOI] [PubMed] [Google Scholar]
  • 19. Soliman PT, Cui X, Zhang Q, Hankinson SE, Lu KH. Circulating adiponectin levels and risk of endometrial cancer: the prospective Nurses' Health Study. Am J Obstet Gynecol. 2011;204: 167 e161–165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Dallal CM, Brinton LA, Bauer DC, Buist DS, Cauley JA, Hue TF, et al. Obesity-related hormones and endometrial cancer among postmenopausal women: a nested case-control study within the B~FIT cohort. Endocr Relat Cancer. 2013;20: 151–160. 10.1530/ERC-12-0229 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ohbuchi Y, Suzuki Y, Hatakeyama I, Nakao Y, Fujito A, Iwasaka T, et al. A lower serum level of middle-molecular-weight adiponectin is a risk factor for endometrial cancer. Int J Clin Oncol. 2013. [DOI] [PubMed]
  • 22. Macis D, Guerrieri-Gonzaga A, Gandini S. Circulating adiponectin and breast cancer risk: a systematic review and meta-analysis. Int J Epidemiol. 2014;43: 1226–1236. 10.1093/ije/dyu088 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Greenland S. Quantitative methods in the review of epidemiologic literature. Epidemiol Rev. 1987;9: 1–30. [DOI] [PubMed] [Google Scholar]
  • 24. Higgins JP, Thompson SG, Spiegelhalter DJ. A re-evaluation of random-effects meta-analysis. J R Stat Soc Ser A Stat Soc. 2009;172: 137–159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21: 1539–1558. [DOI] [PubMed] [Google Scholar]
  • 26. Cochran WG. The combination of estimates from different experiments Biometrics. 1954;10: 101–129. [Google Scholar]
  • 27. Orsini N, Li R, Wolk A, Khudyakov P, Spiegelman D. Meta-analysis for linear and nonlinear dose-response relations: examples, an evaluation of approximations, and software. Am J Epidemiol. 2012;175: 66–73. 10.1093/aje/kwr265 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50: 1088–1101. [PubMed] [Google Scholar]
  • 29. Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315: 629–634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Petridou E, Mantzoros C, Dessypris N, Koukoulomatis P, Addy C, Voulgaris Z, et al. Plasma adiponectin concentrations in relation to endometrial cancer: a case-control study in Greece. J Clin Endocrinol Metab. 2003;88: 993–997. [DOI] [PubMed] [Google Scholar]
  • 31. Ali AT. Risk factors for endometrial cancer. Ceska Gynekol. 2013;78: 448–459. [PubMed] [Google Scholar]
  • 32. Kaaks R, Lukanova A, Kurzer MS. Obesity, endogenous hormones, and endometrial cancer risk: a synthetic review. Cancer Epidemiol Biomarkers Prev. 2002;11: 1531–1543. [PubMed] [Google Scholar]
  • 33. Lihn AS, Pedersen SB, Richelsen B. Adiponectin: action, regulation and association to insulin sensitivity. Obes Rev. 2005;6: 13–21. [DOI] [PubMed] [Google Scholar]
  • 34. Maeda N, Shimomura I, Kishida K, Nishizawa H, Matsuda M, Nagaretani H, et al. Diet-induced insulin resistance in mice lacking adiponectin/ACRP30. Nat Med. 2002;8: 731–737. [DOI] [PubMed] [Google Scholar]
  • 35. Yamauchi T, Kamon J, Waki H, Terauchi Y, Kubota N, Hara K, et al. The fat-derived hormone adiponectin reverses insulin resistance associated with both lipoatrophy and obesity. Nat Med. 2001;7: 941–946. [DOI] [PubMed] [Google Scholar]
  • 36. Lukanova A, Zeleniuch-Jacquotte A, Lundin E, Micheli A, Arslan AA, Rinaldi S, et al. Prediagnostic levels of C-peptide, IGF-I, IGFBP -1, -2 and -3 and risk of endometrial cancer. Int J Cancer. 2004;108: 262–268. [DOI] [PubMed] [Google Scholar]
  • 37. Furberg AS, Thune I. Metabolic abnormalities (hypertension, hyperglycemia and overweight), lifestyle (high energy intake and physical inactivity) and endometrial cancer risk in a Norwegian cohort. Int J Cancer. 2003;104: 669–676. [DOI] [PubMed] [Google Scholar]
  • 38. Lu H, Ouyang W, Huang C. Inflammation, a key event in cancer development. Mol Cancer Res. 2006;4: 221–233. [DOI] [PubMed] [Google Scholar]
  • 39. Takemura Y, Osuga Y, Yamauchi T, Kobayashi M, Harada M, Hirata T, et al. Expression of adiponectin receptors and its possible implication in the human endometrium. Endocrinology. 2006;147: 3203–3210. [DOI] [PubMed] [Google Scholar]
  • 40. Ouchi N, Kihara S, Funahashi T, Nakamura T, Nishida M, Kumada M, et al. Reciprocal association of C-reactive protein with adiponectin in blood stream and adipose tissue. Circulation. 2003;107: 671–674. [DOI] [PubMed] [Google Scholar]
  • 41. Ouchi N, Kihara S, Arita Y, Okamoto Y, Maeda K, Kuriyama H, et al. Adiponectin, an adipocyte-derived plasma protein, inhibits endothelial NF-kappaB signaling through a cAMP-dependent pathway. Circulation. 2000;102: 1296–1301. [DOI] [PubMed] [Google Scholar]
  • 42. Kern PA, Di Gregorio GB, Lu T, Rassouli N, Ranganathan G. Adiponectin expression from human adipose tissue: relation to obesity, insulin resistance, and tumor necrosis factor-alpha expression. Diabetes. 2003;52: 1779–1785. [DOI] [PubMed] [Google Scholar]
  • 43. Yokota T, Oritani K, Takahashi I, Ishikawa J, Matsuyama A, Ouchi N, et al. Adiponectin, a new member of the family of soluble defense collagens, negatively regulates the growth of myelomonocytic progenitors and the functions of macrophages. Blood. 2000;96: 1723–1732. [PubMed] [Google Scholar]
  • 44. Kelesidis I, Kelesidis T, Mantzoros CS. Adiponectin and cancer: a systematic review. Br J Cancer. 2006;94: 1221–1225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Brakenhielm E, Veitonmaki N, Cao R, Kihara S, Matsuzawa Y, Zhivotovsky B, et al. Adiponectin-induced antiangiogenesis and antitumor activity involve caspase-mediated endothelial cell apoptosis. Proc Natl Acad Sci U S A. 2004;101: 2476–2481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Wang Y, Lam KS, Xu JY, Lu G, Xu LY, Cooper GJ, et al. Adiponectin inhibits cell proliferation by interacting with several growth factors in an oligomerization-dependent manner. J Biol Chem. 2005;280: 18341–18347. [DOI] [PubMed] [Google Scholar]
  • 47. Barb D, Williams CJ, Neuwirth AK, Mantzoros CS. Adiponectin in relation to malignancies: a review of existing basic research and clinical evidence. Am J Clin Nutr. 2007;86: s858–866. [DOI] [PubMed] [Google Scholar]
  • 48. Neumeier M, Weigert J, Schaffler A, Wehrwein G, Muller-Ladner U, Scholmerich J, et al. Different effects of adiponectin isoforms in human monocytic cells. J Leukoc Biol. 2006;79: 803–808. [DOI] [PubMed] [Google Scholar]
  • 49. Westerink J, Visseren FL. Pharmacological and non-pharmacological interventions to influence adipose tissue function. Cardiovasc Diabetol. 2011;10: 13 10.1186/1475-2840-10-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Abbasi F, Chu JW, Lamendola C, McLaughlin T, Hayden J, Reaven GM, et al. Discrimination between obesity and insulin resistance in the relationship with adiponectin. Diabetes. 2004;53: 585–590. [DOI] [PubMed] [Google Scholar]
  • 51. Arikoglu H, Ozdemir H, Kaya DE, Ipekci SH, Arslan A, Kayis SA, et al. The Adiponectin variants contribute to the genetic background of type 2 diabetes in Turkish population. Gene. 2014;534: 10–16. [PubMed] [Google Scholar]
  • 52. Houde AA, Legare C, Hould FS, Lebel S, Marceau P, Tchernof A, et al. Cross-tissue comparisons of leptin and adiponectin: DNA methylation profiles. Adipocyte. 2014;3: 132–140. 10.4161/adip.28308 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Checklist. PRISMA checklist for this meta-analysis.

(DOC)

Data Availability Statement

All relevant data are within the paper and its Supporting Information files.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES