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Review

Insulin Resistance and Endometrial Cancer: Emerging Role for microRNA

by
Iwona Sidorkiewicz
1,*,
Maciej Jóźwik
2,
Magdalena Niemira
1 and
Adam Krętowski
1,3
1
Clinical Research Centre, Medical University of Białystok, M. Skłodowskiej-Curie 24a, 15-276 Białystok, Poland
2
Department of Gynecology and Gynecologic Oncology, Medical University of Białystok, M. Skłodowskiej-Curie 24a, 15-276 Białystok, Poland
3
Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Białystok, M. Skłodowskiej-Curie 24a, 15-276 Białystok, Poland
*
Author to whom correspondence should be addressed.
Cancers 2020, 12(9), 2559; https://doi.org/10.3390/cancers12092559
Submission received: 30 July 2020 / Revised: 3 September 2020 / Accepted: 7 September 2020 / Published: 8 September 2020
(This article belongs to the Special Issue MicroRNA and Cancer)

Abstract

:

Simple Summary

Insulin resistance is one of the risk factors of endometrial cancer. Hyperinsulinemia can trigger many physiological effects that drive carcinogenesis, which is also modulated by epigenetic dysregulation including miRNAs expression. Our working hypothesis was that there must be a more pronounced relationship between insulin resistance and alterations in miRNA profiles of endometrial cancer patients. Consequently, this work was undertaken to better clarify this assumption. Our careful literature search indicated that miRNA could represent a potential molecular link between the metabolic alterations related to insulin resistance and endometrial cancer. Additionally, by reporting the known relationships between miRNA and both insulin resistance and endometrial cancer, we highlighted their potential role as predictive factors of future endometrial cancer in insulin resistant patients.

Abstract

Endometrial cancer (EC) remains one of the most common cancers of the female reproductive system. Epidemiological and clinical data implicate insulin resistance (IR) and its accompanying hyperinsulinemia as key factors in the development of EC. MicroRNAs (miRNAs) are short molecules of non-coding endogenous RNA that function as post-transcriptional regulators. Accumulating evidence has shown that the miRNA expression pattern is also likely to be associated with EC risk factors. The aim of this work was the verification of the relationships between IR, EC, and miRNA, and, as based on the literature data, elucidation of miRNA’s potential utility for EC prevention in IR patients. The pathways affected in IR relate to the insulin receptors, insulin-like growth factors and their receptors, insulin-like growth factor binding proteins, sex hormone-binding globulin, and estrogens. Herein, we present and discuss arguments for miRNAs as a plausible molecular link between IR and EC development. Specifically, our careful literature search indicated that dysregulation of at least 13 miRNAs has been ascribed to both conditions. We conclude that there is a reasonable possibility for miRNAs to become a predictive factor of future EC in IR patients.

1. Introduction

Endometrial cancer (EC) is the most common gynecological cancer in developed countries, with annual rates continuing to increase. It is estimated that more than 60,000 new EC diagnoses and 11,000 deaths from the disease occur in the United States alone every year [1]. However, the etiology of this disease is still not fully understood [1,2]. EC has been generally divided into two clinical categories. The first is classified as type I, which represents the vast majority (80–90%) of cases and is associated with a hyperplastic, low-grade, estrogen-related endometrium. It occurs primarily in obese pre-, peri-, and early postmenopausal women, and is associated with a good prognosis. Type II is characterized by a non-estrogenic, high-grade atrophic endometrium, which is also less well-differentiated. It occurs mostly in postmenopausal women and has a high risk of relapse and metastatic disease [3]. There are several histologic types of EC, and the most common endometrioid carcinoma tends to have a favorable prognosis. Other histotypes (such as serous or clear cell carcinoma) of EC are associated with a poor prognosis [4,5]. It was initially noted that type I EC generally presents an endometrioid morphology, whereas type II cancers are characterized by non-endometrioid histology, predominantly serous (Table 1). However, this classical distinction into two EC types has been challenged by long-term follow-up of patients with cancer of endometrioid histology and grades 2 and 3 of differentiation, whose survival turned out to be worse than expected [6,7]. In line with this, Setiawan et al. observed that the risk factor patterns of high-grade endometrioid tumors and type II tumors were similar [3]. Currently, only endometrioid grade 1 (well differentiated) EC is considered to be type I, with the remainder of EC cases being included into type II.
In 2013, The Cancer Genome Atlas (or TCGA) Research Network classification for EC applied four molecular subgroups: DNA polymerase epsilon (POLE)-mutated (ultra-mutated), microsatellite-instable (MSI-high, hypermutated), copy-number-low/protein 53 (P53)-wild-type (CNL), and copy-number-high/P53-mutant (CNH) [11]. The POLE and MSI groups suggest better prognosis of EC patients, and CNL and CNH groups are coupled to worse prognosis [13,14]. The implementation of this novel EC classification laid the grounds for the refined differential diagnosis of particular cancer subtypes based on molecular signatures and provided a precision approach for both research and clinical management [5]. A long-term follow-up of patients with these specific cancer subtypes is now mandatory and of utmost importance.
Although EC is generally considered to be hormone-sensitive, its development is widely considered to also be regulated by environmental and lifestyle factors. One of this cancer’s risk factors is insulin resistance (IR), a prominent component in many metabolic disorders, including prediabetes, type 2 diabetes mellitus (T2DM), metabolic syndrome, and polycystic ovary syndrome (PCOS) [15,16,17,18]. IR is a condition of reduced sensitivity of insulin-responsive tissues to insulin, which leads to an increase in blood insulin and glucose concentrations. According to the International Diabetes Federation Diabetes Atlas, the global prevalence of T2DM developed from IR continues to be on the increase [19]. Hyperinsulinemia can trigger many physiological effects that drive carcinogenesis, as insulin is a major anabolic hormone that can stimulate cell proliferation [15]. Reduced receptor binding and decreased insulin receptor-mediated transduction lead to hyperinsulinemia which, in turn, triggers the deregulation of many metabolic pathways [20]. The exact molecular mechanisms linking IR and EC are still uncertain. However, the direct effect(s) on endometrial cells of insulin and insulin-like growth factors (IGFs), as well as of alterations in the mitogen-activated protein kinase (MAPK)/extracellular-signal-regulated kinase (ERK) and in the complex of phosphatidylinositol 3-kinase (P13K)–phosphatase and tensin homolog deleted on chromosome 10 (PTEN)–protein kinase B (Akt) signaling pathways, may play crucial roles [16,21,22].
Cancer development is also associated with epigenetic dysregulation, occurring at the earliest stage of cancer [23]. The most common epigenetic modifications are DNA methylation, histone methylation and acetylation, and the actions of non-coding RNAs, including microRNAs (miRNAs). All of them can regulate multiple genes and are involved in various important signaling pathways [24]. miRNAs belong to a class of highly conserved, sequence-specific, single-stranded, endogenous small non-coding RNAs, which bind to the 3’ end of the target mRNAs to induce their destabilization, degradation, and/or translation inhibition [25]. Deregulation of miRNA profiles has been implicated in a variety of cellular processes, including cancer development. Therefore, miRNAs have been drawing attention for their potential usefulness as diagnostic and/or prognostic markers [26,27].
To date, numerous studies have focused on the miRNAs’ role in endometrial carcinogenesis or IR, albeit no possible reciprocal interactions of miRNA and IR on EC have been taken into account [28]. Our working hypothesis was that there must be a more pronounced relationship between IR and alterations in miRNA profiles of EC patients. Consequently, this work was undertaken to better clarify this assumption. Furthermore, we discuss the known relationships between miRNA and both clinical conditions.

2. Clinical Importance of the Association between Insulin Resistance and Dndometrial Cancer

Generally, IR is a principal pathophysiological process that relates not only to diabetes but also to prediabetes, as well as preclinical hyperinsulinemia and dysglycemia of varied degrees. IR has been defined as the resistance of target organs to the actions of insulin so that increased concentrations of this hormone are necessary to obtain a normal biological effect [29]. Accordingly, IR is the primary cause of T2DM and occurs years before its clinical manifestation [30]. This prediabetic state plays an important role in the development and progression of some types of cancers, including breast, prostate, colorectal, and endometrial neoplasia [31]. There is accumulating evidence that the risk factors for IR are also risk factors for EC, which strongly suggests that the development of IR and EC may be parallelly promoted at the same time. A meta-analysis conducted by Saed et al. demonstrated that diabetes increases the risk of EC by 72% [32]. Another work, a meta-analysis of 16 studies (3 cohort and 13 case-control studies), found that diabetes is associated with a 2.1-fold increase in the relative risk for EC [33]. Notably, a higher prevalence of EC was demonstrated in non-diabetic women with IR [34]. Decreased serum adiponectin (a polypeptide hormone increasing the cell’s insulin sensitivity and a surrogate marker for IR) concentration was found to be independently and inversely correlated with EC occurrence [35,36]. It has also been established that the EC risk increases quite shortly following the diagnosis of IR and diabetes; that is, approximately past 6 months after their detection [37]. Elevated levels of insulin in prediabetic and diabetic patients seem to affect their cancer risk rather quickly [38]. Similarly, epidemiological evidence shows that the presence of accompanying diseases substantially influences EC risk estimations [17]. For instance, the relationship between diabetes and EC incidence can be largely promoted by increased body weight [31]. In their pooled analysis of cohort studies, Stocks et al. found direct linear relationships of body mass index (BMI), blood pressure, blood glucose, triglycerides, and total cholesterol concentrations with EC risk [39]. This finding is particularly worrying in the present era of widespread overweight and obesity.

3. Insulin Resistance as a Driving Force for Endometrial Cancer

Over past decades, hyperinsulinemia and IR have been implicated as playing a major role in diabetes-promoted cancers. Multiple studies were able to demonstrate a direct association between IR and the incidence of EC with several biological mechanisms as a result of their common regulation by molecular factors (such as mediators of inflammation and adipokines) [40,41,42]. Figure 1 presents a model of links between metabolic alterations in the development of this malignancy, highlighting the roles of changes in the insulin and IGF system and mediators of inflammation.

3.1. Insulin Receptor

Molecular signaling downstream of insulin receptor (INSR) is tightly regulated by a large number of factors. This control system supervises energy homeostasis in peripheral target tissues for insulin. Both insulin and IGF1 activate a specific tyrosine kinase and the two main pathways of insulin signaling are the PI3K/Akt and the MAPK/ERK pathways. These two metabolic cascades contain several points of regulation, crosstalk with other signaling pathways, and control proliferation, differentiation, and survival at the cellular level [48,49].
Insulin signal transduction occurs through two INSR isoforms resulting from transcriptional alternative splicing: INSR-A and INSR-B, differing by the absence (INSR-A) or presence (INSR-B) of exon 11. INSR-A is the principal receptor during fetal development, recognizes both insulin and IGFs, demonstrates a greater affinity for IGF2 than IGF1, and is responsible for intracellular signaling that results in mitogenic responses. INSR-B, expressed in mature insulin-sensitive tissues, is quite insulin-specific and primarily involved in glucose homeostasis [50]. The differences in the effects exerted by INSR-A and INSR-B could be due to their varying abilities to bind IGF2 [51]. INSR-A overexpression was found in many cancer cells and tissues, suggesting that INSR-A-mediated signaling pathways may contribute to cancer pathogenesis [52]. Wang et al. demonstrated that the total INSR and INSR-A mRNA levels and the ratio of INSR-A/total INSR were significantly higher in EC than in control endometrium [53]. However, no comparisons between clinical types I and II of EC, or between particular EC histotypes, were made, making the interpretation of these results somewhat difficult. On the contrary, Flannery et al. found that INSR-B expression was increased in non-diabetic patients both in complex endometrial hyperplasia and EC, relative to normal tissue [54].

3.2. Insulin-Like Growth Factors and Their Receptors

Combined, insulin, IGF1, and IGF2 critically control many aspects of metabolism, growth, and survival. IGFs are predominantly produced in the liver by hepatocytes in response to growth hormone (GH) stimulation [55]. IGF1 displays significant amino acid sequence homology with insulin and enhances insulin sensitivity [56]. To date, IGF2 actions have been insufficiently characterized; however, some relevant roles have been determined for fetal development and cerebral protection [51]. Both ligands IGF1 and IGF2 activate the IGF1 receptor (IGF1R), making it their common receptor. The IGF system plays a central role in human carcinogenesis. Interestingly, it has been hypothesized that IGF2 is more closely linked to the etiology of EC than IGF1 [57].
At the pathophysiological level, insulin can also bind to IGF1R, which is a cell-surface tyrosine kinase receptor coupled to several intracellular secondary messenger pathways, including the PI3K/Akt signaling cascade. IGF1R plays a pivotal role in cell survival by regulating somatic growth, development, and metabolism, as demonstrated by using IGF1R knock-out mice that displayed severe growth deficiency, lethal neonatal lung hypoplasia, and muscle hypoplasia [58]. Although INSR and IGF1R are highly homologous and are coupled to similar intracellular pathways, insulin and IGFs stimulate distinct and specific functions, such as glucose metabolism for insulin and cell growth and proliferation for IGFs [59]. Additionally, the functional specificity of insulin/INSR signaling can be affected by: (1) crosstalk between INSR-A and IGF1 because of the abundant synthesis of INSR-A in tissues and its increased binding affinity for IGF1, (2) enhanced formation of an INSR-A/IGF1R hybrid receptor, and (3) autocrine and/or paracrine IGF production [60]. There is convincing evidence for a direct effect of insulin and IGF1 on EC cells, with the activation of the INSR resulting in both increased cell proliferation and inhibition of apoptosis [55]. From Dai et al., although serum concentrations of IGF1 and IGF2, as well as the degree of activation of IGF1R in endometrial cells did not differ between diabetic patients with or without EC, both the degree of activation of IGF2R and of PI3K were significantly higher in endometrial cells in T2DM patients with EC [61]. These same authors suggested that increased IGF2R protein expression in endometrial cells in T2DM patients could increase PI3K/cyclin D1 (CCND1)-dependent cell growth through the loss of competitive binding of IGF2 to IGF1R, a possible explanation for the higher risk of developing EC in T2DM. Moreover, this study indicated that IGF1 and IGF2 compete for binding to IGF1R, whereas binding of IGF2 to IGF1R may cause alternative phosphorylation of IGF1R with the resultant suppression of downstream PI3K and CCND1 signaling cascades [61]. Somewhat similar conclusions were obtained by Petridou et al., who suggested a more pronounced role of IGF2 than IGF1 in the etiology of EC [57]. Of clinical relevance, Price et al. noted that increased IGF1R expression is linked to higher BMI and better overall survival and disease-free survival in EC [62]. Gunter et al. observed that free IGF1 levels were inversely associated with the incidence of EC [63]. Of interest, Roy et al. suggested the existence of two different mechanisms that activate IGF1R in EC: ligand-dependent in type I and ligand-independent in type II [64]. These authors found that IGF1 mRNA expression was increased in type I compared with type II.
Further interesting findings were reported by Ding et al., who found that higher protein expression of IGF1, IGF1R, and INSR in colorectal cancer was associated with a history of diabetes, suggesting that IGF1/INSR signaling may play an important role in the development of this cancer in diabetic patients [65]. Unfortunately, many clinical trials with anti-IGF1R showed only limited responses in small proportions of cancer patients. Despite promising preclinical data, anti-IGF1R/INSR-targeted therapies lacked overall efficacy and the multitude of side effects led to their discontinuation [50,66,67]. In contrast, metformin (an oral antidiabetic drug of the biguanide family used for the treatment of T2DM) is known to interact with the IGF pathway, induces apoptosis, and inhibits proliferation and migration of EC cells [68]. Three separate systematic reviews and meta-analyses confirmed a beneficial role of metformin in improving overall survival and progression-free survival in EC [69,70,71]. In an in vitro study, metformin even inhibited proliferation and migration of endometrial serous carcinoma cell lines. The authors suggested that this drug could be a novel and attractive therapeutic approach for the treatment of this highly aggressive variant of EC [68].

3.3. Insulin-Like Growth Factor Binding Proteins

Although IGF1 is structurally related to insulin, unlike insulin, it circulates in the blood bound to specific carrier proteins, called IGF binding proteins (IGFBPs), with variable affinity. IGFBPs tightly regulate IGF1 availability by increasing its half-life, usually by forming a tertiary complex that blocks IGF1 from binding to IGF1R. Six IGFBPs (labeled IGFBP-1 to -6) have been identified so far [72]. Hyperinsulinemia has been shown to increase hepatic production and bioavailability of IGF1, in part by inhibiting hepatic production of IGFBP-1 and -2. This surplus IGF1 may excessively activate IGF1R, INSR/IGF1R, and proliferative and anti-apoptotic signaling in both premalignant and malignant tissues [45]. Insulin-sensitizing, blood pressure-lowering, and antiatherosclerotic properties of IGFBP-1 have been demonstrated, raising the possibility that increasing IGFBP-1 levels may be a therapeutic option to protect individuals from IR, arterial hypertension, and atherosclerosis [73]. However, high IGFBP-1 concentrations seem to be associated with EC risk in older women and women with an elevated BMI [74]. One study, by Weiderpass et al., found an increased risk for EC based on serum levels of IGFBP-1 solely in women who had ever used hormonal replacement therapy [75].
Recent evidence suggests beneficial effects of IGFBP-2 on systemic metabolism by indirect interacting with IGF1 signaling, including inhibition of adipogenesis and enhanced long-term insulin sensitivity [76,77]. Besides binding to IGFs, IGFBP-2 interacts with cellular components and exerts other key functions within the nucleus, directly or indirectly promoting transcriptional activation of specific genes. IGFBP-2 activities, both IGF-dependent and IGF-independent, contribute to the protein’s functional roles in growth, development, metabolism, and malignancy [78]. The overexpression of IGFBP-2 has been shown to correlate with tumor progression in a number of cancers, including ovarian, lung, and pancreatic cancer [79,80,81,82]. However, the mechanisms by which IGFBP-2 contributes to the progression of cancer are still unclear [83].
As for IGFBP-3, this protein inhibits adipocyte differentiation and impacts the peroxisome proliferator-activated receptor-gamma (PPARγ) system, suggesting a role for IGFBP-3 in the pathogenesis of obesity and IR. Apart from physiological IGF-dependent effects, this carrier protein has been demonstrated to regulate cell proliferation independently of binding to IGFs [84]. Mochizuki et al. found that the anti-proliferative and proapoptotic activities of IGFBP-3 are IGF-independent and attenuate epidermal growth factor (EGF)-induced EC cell proliferation. However, the exact details of action by which IGFBP-3 inhibits the EGF-mediated survival pathway require elucidation [85]. Recently, the binding of IGFBP-3 to a variety of growth factors was shown to improve the efficacy of anti-cancer precision therapy, counteract numerous mechanisms of tumor resistance, and combat tumor heterogeneity [86].

3.4. Estrogens

Estrogens are important participants in the metabolic regulation, playing a mitogenic role in the normal endometrium [87]. The effects of estrogen are mostly mediated by three receptors: two cytosolic estrogen receptors (ER), α (ERα) and β (ERβ), and transmembrane G protein-coupled estrogen receptor 1 (or GPER). ERs can carry out both genomic (transcription and gene expression regulation) and nongenomic (regulatory protein modifications) signal transduction. Estradiol (E2), the principal biologically active form of estrogen, controls insulin activity directly via actions on insulin-sensitive tissues or indirectly by regulating factors responsible for oxidative stress, with both outcomes contributing to IR [88]. Of note, some data suggest opposed effects of ERα and ERβ on glucose tolerance, and that ERβ ligands exert diabetogenic actions [89].
Estrogen signaling causes proliferation of EC [90]. Extensive crosstalk between estrogen signaling and the insulin/IGF axis was recently thoroughly discussed [91]. Research on ER-positive breast cancer (cell line MCF-7 xenografts) demonstrated that tamoxifen, a selective ER modulator, effectively inhibits classical ER-dependent transcription, including the transcription of IGF1R gene product [92]. In vivo studies have shown that E2 improves insulin sensitivity and glucose tolerance via activation of ERα/PI3K/Akt signaling [93,94]. However, E2 has been demonstrated to inhibit the in vitro binding of insulin to INSR by binding to both insulin and its receptor instead, an observation strongly suggesting the ability of E2 to induce IR either directly or indirectly [95]. Attention should be paid to tissue-specific roles of E2 [96]. Estrogens mediate the expression of IGFs in the uterus, but IGFBPs also interfere with this process [55,97]. Merritt et al. observed lower expression of IGF1, but higher expression of IGFBP-1 and IGFBP-3, coupled with higher protein expression for ER, INSR, and IGF1R in postmenopausal endometrium as compared to premenopausal proliferative phase endometrium [98].
Several EC risk factors provide strong support for the hypothesis of the causative role of unopposed estrogen, stating that EC risks are increased in women with high plasma estrogens and/or low progesterone, so that estrogenic effects are not sufficiently counterbalanced by the latter [99,100,101]. Insulin and IGF1 have been shown to stimulate ovarian steroid synthesis, resulting in cellular proliferation and inhibition of apoptosis in breast epithelium and endometrium [102]. Estrogens, both internal and from external provision, play a significant role in EC development. The majority of type I EC cases express ER, and higher ER expression has been associated with better clinical outcomes [8]. A recent analysis by Tian et al. underlined that insulin and estrogens could exert combined or even synergistic effects on the progression of type I EC [103]. Estrogens are thought to trigger proliferation and growth in cancer cells through the activation of ERα and the subsequent activation of PI3K and MAPK pathways [90]. Furthermore, an in vitro study showed that insulin directly stimulates aromatase activity in both endometrial glands and stroma, which strongly suggests that hyperinsulinemia caused by IR predisposes to EC by enhancing endogenous endometrial estrogen production [104]. Work by Galvão Wolff et al. indicated that IR stimulates endometrial expression of ERs and progesterone receptors (PRs), thereby contributing to the increased occurrence of endometrial proliferative lesions [105].

3.5. Sex Hormone-Binding Globulin

The activity of estrogens depends on their bioavailability, which is primarily determined by sex hormone-binding globulin (SHBG). The synthesis of SHBG occurs in the liver and is increased by sex steroids (mostly estrogens) and thyroxine, whereas insulin is a known important inhibitor of its production. Winters et al. found lower serum SHBG and lower hepatic SHBG expression with increasing IR, together with a weak association between fasting insulin concentration and SHBG mRNA expression [106]. Not only insulin but also IGF1 inhibits the hepatic production of SHBG [102].
In premenopausal women, hyperinsulinemia promotes the stimulation of ovarian androgen synthesis and decreases hepatic production of SHBG. This leads to increased circulating levels of free androgens. In contrast, in postmenopausal women, adipose tissue is the main source of estrogens through the aromatization of androgens. Obesity and hyperinsulinemia, if present, further lead to increased aromatization of androgens and decreased production of SHBG, the results of which are increased levels of bioavailable estrogen [107]. Excessive estrogens promote the development of EC, as described by the unopposed estrogen hypothesis.

3.6. Adipokines

The adipose tissue secretes a wide variety of bioactive molecules, including adipokines and hormones, such as adiponectin, leptin, resistin, visfatin, and chemerin, as well as proinflammatory cytokines, such as tumor necrosis factor-α (TNF-α) [108]. Among adipokines, adiponectin proved to be particularly important. Decreased adiponectin production exerts a key role in the pathogenesis of obesity-associated disorders: arterial hypertension, metabolic syndrome, atherosclerosis, and cancer [109,110,111]. Two separate studies demonstrated a significant relationship between high circulating adiponectin levels and reduced EC risk, an observation largely independent of other obesity-related risk factors [112,113].
Leptin has contrasting biological functions to adiponectin: it decreases tissue sensitivity to insulin and increases plasma insulin concentration. Hyperinsulinemia and obesity are therefore linked with high leptin and low adiponectin levels [114]. The role of leptin in IR is still not fully clarified, but solid evidence indicates that leptin is a major metabolic regulator of circulating IGFBP-2 [115,116]. A relationship between serum leptin and insulin concentrations has been confirmed, regardless of body fatness [117,118,119]. Since obesity and adipokines are independent risk factors for EC, this notion supports the roles of two distinct mechanisms involved in endometrial carcinogenesis: excess estrogen and IR [120,121]. Resistance to leptin is considered a hallmark of obesity and has been shown to lead to hepatic IR [122]. Importantly, leptin plays a proinflammatory role, contributing to the generation and maintenance of low-grade inflammation, recently also linked to EC [42]. However, literature data regarding circulating levels of adiponectin and leptin in EC report conflicting results [111,123,124]. Increased circulating adiponectin and adiponectin/leptin ratio and decreased leptin concentration were shown to be associated with reduced risk for EC [125]. On the other hand, Ma et al. observed increased leptin and decreased adiponectin levels in EC [126]. Unfortunately, adiponectin and leptin concentrations and insulin pathway receptor expressions were not found useful for defining molecular subtypes of EC [127]. Moreover, molecular links between adipokines and cancer cells are complex and as yet, are not fully understood [128]. It has been hypothesized that circulating levels of adiponectin and leptin, together with insulin pathway molecules, exert oncogenic effects on endometrial tissue not only through their impact on the expression of tumor cell receptors but also by the activation of multiple epigenetic pathways within neoplastic cells and their microenvironment [129,130].
Other adipokines/cytokines of adipose origin such as visfatin, vaspin, and omentin display proinflammatory properties and affect insulin sensitivity and secretion. Recent research indicates that serum visfatin concentration is elevated in patients with EC and that combined serum visfatin and resistin levels could be used to predict the risk of advanced stages of EC [131]. Hlavna et al. showed increased circulating levels of resistin in EC patients compared with control subjects [132]. Unraveling the pathophysiological roles of adipokines in IR and EC should be prioritized in future research [133].

4. miRNAs in Both Insulin Resistance and Endometrial Cancer

Post-transcriptional regulation by miRNAs is of interest as a mechanism to silence gene expression [134]. Aberrant expression of the miRNA profile plays a key role in a wide variety of physiological processes, including cell proliferation, apoptosis, and tissue differentiation [135]. Yet, deregulation in miRNA biogenesis and function have been shown to modulate many fundamental signaling pathways, including insulin synthesis, secretion, and signal transduction, and therefore, specific miRNA patterns are likely to play a role in the development of IR and related metabolic complications [136]. Importantly, miRNA-mediated insulin signaling modulation is tissue- and cell-specific, with distinct miRNAs modulating components of the insulin transduction pathway only in some tissues or cells. The basis for IR is multifactorial and includes obesity, inflammation, mitochondrial dysfunction, endoplasmic reticulum stress, oxidative stress, lipotoxicity/hyperlipidemia, genetic background, and hypoxia. These factors contribute quite differently to the disruption of insulin signaling [137].
Various conditions are caused by dysregulation of gene networks due to changes in miRNA expression, and the association between miRNAs and cancer is currently under vivid investigation [138]. miRNAs regulate cell metabolic processes either directly by targeting key molecules of metabolic pathways (transporters and enzymes, including kinases), or indirectly by modulating the expression of important transcription factors [139].
On the one hand, EC molecular subtypes have been shown to demonstrate distinct miRNA signatures. These miRNA signatures are reduced, and particular levels of depletion are characteristic for particular EC subtypes [140]. In summary, many miRNAs, either circulating or of tissue origin, have been found dysregulated in EC. Table 2 presents their comprehensive list.
On the other hand, at least several miRNAs are known to be involved in the pathogenesis of cancer. As for endometrial neoplasia, a 4-miRNA signature (miR-4758, miR-876, miR-142, miR-190b) has been established as an independent prognostic factor for overall survival in EC patients (area under the curve (AUC) of receiver operating characteristic (ROC) curve was 0.7 at 5-year overall survival) [150]. By contrast, based on their systematic review, Donkers et al. proposed miR-205, the whole miR-200 family, miR-135b, miR-182, miR-183, and miR-223 as promising diagnostic biomarkers in EC [151]. Such studies were performed in the hope that the expression pattern of miRNA would become an early diagnostic and prognostic biomarker, whilst particular miRNAs could be identified as novel therapeutic targets.
Although the pathophysiology that underlies the association of IR with EC requires further investigation, miRNAs may be a missing link. Of interest, our careful literature search indicated that dysregulation of at least 13 miRNAs is actually shared by or has been ascribed to both IR and EC. Table 3 substantiates these findings.
The let-7 miRNA family, whose decreased expression in EC tissues has been demonstrated, is also involved in the development of IR [179]. A let-7 loss contributes to carcinogenesis via an increase in its target oncogenes (such as high-mobility group AT-hook 2 (HMGA2), c-Myc, Janus protein tyrosine kinase (JAK), Aurora B kinase, and signal transducer and activator of transcription 3 (STAT3)) and stemness factors [153,154,180]. However, the overexpression of let-7 in mouse skeletal muscles is related to the impairment of glucose tolerance and enhancement of IR [181]. The lin-28/let-7 axis regulates the insulin/PI3K/mammalian target of rapamycin (mTOR) pathway via multiple targets, such as IGF1R, INSR, and insulin receptor substrates 1 and 2 (IRS-1, IRS-2), thereby directly regulating glucose metabolism [152,182]. Understanding the tissue-specific regulation of let-7 may fill the current data gap and result in its potential use as a therapeutic for an array of metabolic diseases [183].
Increased expression of miR-9 in EC versus normal endometrial tissue has been shown [184,185,186]. Myatt et al. demonstrated that miR-9 was increased in EC tissue but lower in HEC-1B (type II EC cell line) compared with Ishikawa cells (type I EC line). Moreover, miR-9 expression was inversely correlated with forkhead transcription factor 1 (FOXO1) expression both in EC in vivo and in Ishikawa cells [155]. Two studies reported that the gene for sirtuin 1 (SIRT1), together with FOXO1 and the gene for sterol regulatory element-binding protein 1 (SREBP-1) act as a pathway involved in tumorigenesis suppression and play a role in the development of progestin resistance in EC cells [187,188]. Since FOXO1 and SREBP-1 are targets of insulin, their role in IR can be hypothesized. miR-9 can regulate insulin secretion by inhibiting transcription factor onecut-2 (OC-2) and SIRT1 in vivo in pancreatic β-islets [156]. In turn, this decrease in OC-2 in insulin-secreting cells results in an increase in the expression of its target gene, granuphilin, a key player in insulin secretion and known to negatively regulate insulin exocytosis [189]. mir-9 expression was first thought to be restricted to the brain and pancreatic islets, yet recent studies emphasize the need to focus on its precise functional role in cancer [190].
Members of the miR-29 family (i.e., miR-29a, b, and c) have been shown to be involved in the EC development [191]. Specifically, miR-29b was found to play important roles in proliferation and progression in EC cells by direct regulation of PTEN, whose involvement in inhibiting cell migration, invasion, and cytoskeleton rearrangement has been proven [161]. Chen et al. demonstrated that miR-29b contributes to EC angiogenesis by targeting both MAPK/ERK and PI3K/Akt signaling pathways [160]. Significant downregulation of miR-29c was observed to occur in EC, possibly resulting in increased cell proliferation and collagen type IV alpha 1 synthesis [163]. The miR-29 family is involved in IR, as its in vivo suppression in adult mice led to a significant reduction of fasting blood glucose concentration and improvement in insulin sensitivity [192]. A study by Massart et al. reported that miR-29a and miR-29c expression are increased in skeletal muscle from patients with T2DM, playing a pivotal role in glucose and fatty acid metabolism [162]. In line with this, silencing miR-29a resulted in decreased glucose transport and altered lipid metabolism in myotube cells, indicating the involvement of this miRNA in IR by targeting peroxisome proliferator-activated receptor δ (PPARδ) in skeletal muscle [157]. The various mechanisms of action by the miR-29 family suggest its dichotomous role as a tumor suppressor and oncogene based on tissue specificity [193,194].
Other miRNAs involved in both IR and EC are miR-103 and miR-107. An in vitro study by Du et al. showed that miR-103 overexpression significantly promoted EC cell proliferation, whereas downregulation significantly suppressed EC cell proliferation [195]. miR-103 has been demonstrated to directly target tissue inhibitor of metalloproteinase 3, leading to an imbalance between matrix metalloproteinases and their tissue inhibitors, well known to play a critical role in tumor development [164]. Hepatic miR-103 overexpression in obese mice promotes glucose intolerance and IR [165]. In turn, miR-107-5p promotes EC progression and invasion by targeting ERα [166]. miR-103/107 inactivation leads to increased expression of caveolin-1 (CAV1) in adipocytes, thereby reducing downstream insulin signaling and decreasing adipocyte size [165]. Interestingly, miR-103 and miR-107 target RNase III-like enzyme named DICER, which is a key component of the miRNA processing machinery, resulting in global miRNA inhibition. However, these inhibiting effects may also be mediated by other miRNAs [140].
miR-126 has been reported to directly target IRS-1 in SK-Hep1 hepatocytes [167]. This miRNA was found to be frequently downregulated in EC. Moreover, IRS-1 is involved in miR-126-mediated EC cell migration and invasion, thus raising a possibility of miR-126-based molecular targeted therapy for EC [168].
High expression of the miRNA-200 family (including miR-141, miR-200a, miR-200b, miR-200c, and miR-429) has been demonstrated in endometrioid EC compared with normal endometrium, suggestive of their substantial role in cancer growth [196]. Importantly, miR-200 has been implicated in IR by inducing pancreatic β-cell proinflammatory state and damage, and by downmodulating IRS-2 [197,198]. An in vitro study by Lu et al. showed that the expression of the miR-200 family in Ishikawa cells (type I EC cell line) was increased when compared with HEC-1B cells (type II EC line). There is convincing evidence that dynamic expression changes during transition from the normal to cancerous state reflect a link between ovarian steroids and the miRNA expression pattern [199]. Zinc finger E-box binding homeobox 1 (ZEB1) is a target gene of miR-200. The product of this gene is involved in epithelial–mesenchymal transition (EMT), which contributes to cancer invasion, metastasis, recurrence, and therapeutic resistance [200,201,202]. Therefore, there should be a role for miR-200 in EMT. Upregulation of miR-141 has been demonstrated in IR, as well as in EC [169,170,196]. The increased expression of miR-141 resulted in impaired glucose-stimulated insulin secretion and pancreatic β-cell proliferation. In addition, a positive correlation was observed in diabetic patients between miR-141 expression and blood glucose concentration. Forkhead box A2 (FOXA2) was identified as a direct miR-141 target gene [170]. Separate work demonstrated that FOXA2 must be important in tumorigenesis based on its role in the inhibition of EMT in cancer [203,204].
Interestingly, miR-221 and miR-222 are also related to both IR and EC. Ramon et al. showed a significant downregulation of miR-221/222 in endometrioid EC in comparison with control endometrium. miR-221 and -222 were negatively correlated with the vascular endothelial growth factor A (VEGF-A) protein level, an observation suggesting their involvement in the mechanism of increased VEGF-A ratios observed in EC. miR-222-3p expression was found lower in ERα-positive EC tissues as compared with ERα-negative ones [205]. Consequently, the level of miR-222-3p expression was lower in tumors of lower grades and earlier stages. Further, regulation of ERα expression by miR-222-3p was confirmed in RL95-2 EC cells [176]. Overexpression of miR-221 caused inflammation and IR in differentiated 3T3-L1 adipocytes through the suppression of SIRT1 [173]. An in vitro study on preadipocytes demonstrated that leptin and TNF-α downregulate miR-221, which inversely affects the adiponectin receptor 1 (ADIPOR1) and transcription factor v-ets erythroblastosis virus E26 oncogene homolog 1 (ETS1) expression. Adiponectin signaling promotes insulin sensitivity, and ETS1 is known to regulate the expression of cytokines, chemokines, and other genes involved in angiogenesis [206]. The association of miR-221 in the complex interplay between ERα, PR, hypoxia-inducible factor 1-alpha (HIF1-α), and zinc finger protein SNAI2 (snail family transcriptional repressor 2) (SLUG) has been demonstrated and ascribed to EMT in endometrioid EC [174].
A recent communication reported on downregulated expression of miR-320a in EC [177]. From Abbas et al., miR-320a induces proliferation inhibition in EC cells, IGF1R is a direct functional mediator for miR-320a, and IGF1R is a critical negative regulator of insulin sensitivity in the endothelium [207]. Additionally, a study by Ling et al. showed that miR-320 increases insulin sensitivity of insulin-resistant 3T3-L1 adipocytes [178]. miR-320 may inhibit insulin/PI3K signaling in adipocytes, leading to IR; thus, anti-miR-320 oligo has been proposed as a potentially new therapeutic strategy to control IR [178].
Another aspect of the EC relationship with IR is the pleiotropic function of adipokines. Adipokine-regulated miRNAs can act as either oncogenic or anti-tumoral factors [208]. Moreover, adipose tissue is a major source of circulating miRNAs and they constitute a novel class of adipokines that can act as regulators of metabolism in tissues other than fat [209,210]. The discovery of cell signaling mechanisms followed by the appreciation of a wide network of miRNA-target genes’ expression patterns has been crucial to identify the adipokine-regulated miRNAs in the development of EC. However, the data from human patients are limited and large in vivo studies are needed [211].
It has been hypothesized that the role of miRNAs in the metabolic crosstalk is not only between cellular and non-cellular components within the tumor microenvironment but also between cancerous and other cells, such as adipocytes [174]. Another suggestion is that transfer of specific adipose cell- or other cell-derived miRNAs may be involved in the regulation of endometrial tumor progression, providing a new form of intercellular communication. Overexpressed miRNAs are included in exosomes released from cells and play a functional role in cell-to-cell communication [212].

5. Perspective and Future Directions

Although diabetes has long been known to be an independent risk factor for EC, little is known about the relationships between IR and EC [213]. Literature data were unable to indicate clear associations between insulin, IGFs, and sex steroid hormones with EC incidence because of the multitude of dysregulated pathways that lead to EC progression. Yet, meta-analyses support the theory about the association between IR and EC. Currently, there is still a need for new precise molecular tools for the early diagnosis, risk assessment, and prediction of EC development, and miRNA may be a promising marker [214].
Epidemiological and cohort studies should determine the risk of EC in patients with IR based on miRNA expression pattern. That would allow timely intervention(s) to prevent cancer development. Patients with T2DM, prediabetes, metabolic syndrome, and PCOS should be included.
Taking into account that EC is a hormone-dependent cancer, studies on epigenetic mechanisms, including miRNA and sex steroid pathway profiling, both in cancer and IR, are worth undertaking. EC molecular subtypes have been shown to demonstrate distinct miRNA signatures [141]. These miRNA signatures are reduced, and particular levels of depletion are characteristic for particular EC subtypes [140]. A long-term follow-up of patients with these specific cancer subtypes is now mandatory to unveil the clinical significance of miRNA signatures. Similarly, long-term studies should reveal the significance of miRNAs in reference to type I and II EC. The thirteen miRNAs found by us to be dysregulated in both IR and EC are worth special attention.

6. Conclusions

This review highlights changes in miRNA involved in both IR and EC. In support of the possible role of miRNA in both conditions, our careful literature search found that dysregulation of at least 13 miRNAs has been ascribed to both IR and EC. Therefore, miRNA could represent a potential molecular link between the metabolic alterations related to IR and EC. There is a reasonable possibility for miRNAs to become a predictive factor of future EC in IR patients.

Author Contributions

Conceptualization, I.S.; writing—original draft preparation, I.S.; writing—review and editing, M.J., M.N. and A.K.; visualization, I.S.; supervision, M.J. and A.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by a Grant No. SUB/1/DN/20/005/1196 from the Medical University of Białystok, Poland.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Morice, P.; Leary, A.; Creutzberg, C.; Abu-Rustum, N.; Darai, E. Endometrial cancer. Lancet 2016, 387, 1094–1108. [Google Scholar] [CrossRef]
  2. Memon, A.; Paudyal, P. Epidemiology of endometrial cancer. In Endometrial Cancer: Current Epidemiology, Detection and Management; Nova Science Pub Inc.: Hauppauge, NY, USA, 2014. [Google Scholar] [CrossRef]
  3. Setiawan, V.W.; Yang, H.P.; Pike, M.C.; McCann, S.E.; Yu, H.; Xiang, Y.B.; Wolk, A.; Wentzensen, N.; Weiss, N.S.; Webb, P.M.; et al. Type i and II endometrial cancers: Have they different risk factors? J. Clin. Oncol. 2013, 31, 2607–2618. [Google Scholar] [CrossRef] [PubMed]
  4. Burke, W.M.; Orr, J.; Leitao, M.; Salom, E.; Gehrig, P.; Olawaiye, A.B.; Brewer, M.; Boruta, D.; Villella, J.; Herzog, T.; et al. Endometrial cancer: A review and current management strategies: Part I. Gynecol. Oncol. 2014, 134, 385–392. [Google Scholar] [CrossRef] [PubMed]
  5. McAlpine, J.; Leon-Castillo, A.; Bosse, T. The rise of a novel classification system for endometrial carcinoma; integration of molecular subclasses. J. Pathol. 2018, 244, 538–549. [Google Scholar] [CrossRef]
  6. Voss, M.A.; Ganesan, R.; Ludeman, L.; McCarthy, K.; Gornall, R.; Schaller, G.; Wei, W.; Sundar, S. Should grade 3 endometrioid endometrial carcinoma be considered a type 2 cancer-a clinical and pathological evaluation. Gynecol. Oncol. 2012, 124, 15–20. [Google Scholar] [CrossRef]
  7. Murali, R.; Soslow, R.A.; Weigelt, B. Classification of endometrial carcinoma: More than two types. Lancet Oncol. 2014, 15, e268–e278. [Google Scholar] [CrossRef]
  8. Malik, T.Y.; Chishti, U.; Aziz, A.B.; Sheikh, I. Comparison of risk factors and survival of type-I and type-II endometrial cancers. Pak. J. Med. Sci. 2016, 32, 886–890. [Google Scholar] [CrossRef]
  9. Amant, F.; Moerman, P.; Neven, P.; Timmerman, D.; Van Limbergen, E.; Vergote, I. Endometrial cancer. Lancet 2005, 366, 491–505. [Google Scholar] [CrossRef]
  10. Remmerie, M.; Janssens, V. Targeted therapies in type II endometrial cancers: Too little, but not too late. Int. J. Mol. Sci. 2018, 19, 2380. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Getz, G.; Gabriel, S.B.; Cibulskis, K.; Lander, E.; Sivachenko, A.; Sougnez, C.; Lawrence, M.; Kandoth, C.; Dooling, D.; Fulton, R.; et al. Integrated genomic characterization of endometrial carcinoma. Nature 2013, 497, 67–73. [Google Scholar] [CrossRef] [Green Version]
  12. Raglan, O.; Kalliala, I.; Markozannes, G.; Cividini, S.; Gunter, M.J.; Nautiyal, J.; Gabra, H.; Paraskevaidis, E.; Martin-Hirsch, P.; Tsilidis, K.K.; et al. Risk factors for endometrial cancer: An umbrella review of the literature. Int. J. Cancer 2019, 145, 1719–1730. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Coll-de la Rubia, E.; Martinez-Garcia, E.; Dittmar, G.; Gil-Moreno, A.; Cabrera, S.; Colas, E. Prognostic biomarkers in endometrial cancer: A systematic review and meta-analysis. J. Clin. Med. 2020, 9, 1900. [Google Scholar] [CrossRef] [PubMed]
  14. León-Castillo, A.; Gilvazquez, E.; Nout, R.; Smit, V.T.H.B.M.; McAlpine, J.N.; McConechy, M.; Kommoss, S.; Brucker, S.Y.; Carlson, J.W.; Epstein, E.; et al. Clinicopathological and molecular characterisation of ‘multiple-classifier’ endometrial carcinomas. J. Pathol. 2020, 250, 312–322. [Google Scholar] [CrossRef] [PubMed]
  15. Orgel, E.; Mittelman, S.D. The links between insulin resistance, diabetes, and cancer. Curr. Diabetes Rep. 2013, 13, 213–222. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Shafiee, M.N.; Khan, G.; Ariffin, R.; Abu, J.; Chapman, C.; Deen, S.; Nunns, D.; Barrett, D.A.; Seedhouse, C.; Atiomo, W. Preventing endometrial cancer risk in polycystic ovarian syndrome (PCOS) women: Could metformin help? Gynecol. Oncol. 2014, 132, 248–253. [Google Scholar] [CrossRef] [PubMed]
  17. Kitson, S.J.; Gareth Evans, D.; Crosbie, E.J. Identifying high-risk women for endometrial cancer prevention strategies: Proposal of an endometrial cancer risk prediction model. Cancer Prev. Res. 2017, 10, 1–13. [Google Scholar] [CrossRef] [Green Version]
  18. Mu, N.; Zhu, Y.; Wang, Y.; Zhang, H.; Xue, F. Insulin resistance: A significant risk factor of endometrial cancer. Gynecol. Oncol. 2012, 125, 751–757. [Google Scholar] [CrossRef]
  19. Saeedi, P.; Petersohn, I.; Salpea, P.; Malanda, B.; Karuranga, S.; Unwin, N.; Colagiuri, S.; Guariguata, L.; Motala, A.A.; Ogurtsova, K.; et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res. Clin. Pract. 2019, 157, 107843. [Google Scholar] [CrossRef] [Green Version]
  20. Thomas, D.D.; Corkey, B.E.; Istfan, N.W.; Apovian, C.M. Hyperinsulinemia: An early indicator of metabolic dysfunction. J. Endocr. Soc. 2019, 3, 1727–1747. [Google Scholar] [CrossRef]
  21. Shafiee, M.N.; Chapman, C.; Barrett, D.; Abu, J.; Atiomo, W. Reviewing the molecular mechanisms which increase endometrial cancer (EC) risk in women with polycystic ovarian syndrome (PCOS): Time for paradigm shift? Gynecol. Oncol. 2013, 131, 489–492. [Google Scholar] [CrossRef]
  22. Shafiee, M.N.; Seedhouse, C.; Mongan, N.; Chapman, C.; Deen, S.; Abu, J.; Atiomo, W. Up-regulation of genes involved in the insulin signalling pathway (IGF1, PTEN and IGFBP1) in the endometrium may link polycystic ovarian syndrome and endometrial cancer. Mol. Cell. Endocrinol. 2016, 424, 94–101. [Google Scholar] [CrossRef] [Green Version]
  23. Banno, K.; Kisu, I.; Yanokura, M.; Masuda, K.; Kobayashi, Y.; Ueki, A.; Tsuji, K.; Yamagami, W.; Nomura, H.; Susumu, N.; et al. Endometrial cancer and hypermethylation: Regulation of DNA and MicroRNA by epigenetics. Biochem. Res. Int. 2012, 2012, 738274. [Google Scholar] [CrossRef] [Green Version]
  24. Wang, H.; Peng, R.; Wang, J.; Qin, Z.; Xue, L. Circulating microRNAs as potential cancer biomarkers: The advantage and disadvantage. Clin. Epigenet. 2018, 10, 59. [Google Scholar] [CrossRef] [Green Version]
  25. Valihrach, L.; Androvic, P.; Kubista, M. Circulating miRNA analysis for cancer diagnostics and therapy. Mol. Asp. Med. 2019, 72, 100825. [Google Scholar] [CrossRef]
  26. Hayes, J.; Peruzzi, P.P.; Lawler, S. MicroRNAs in cancer: Biomarkers, functions and therapy. Trends Mol. Med. 2014, 20, 460–469. [Google Scholar] [CrossRef]
  27. MacFarlane, L.-A.; Murphy, P.R. MicroRNA: Biogenesis, Function and Role in Cancer. Curr. Genom. 2010, 11, 537–561. [Google Scholar] [CrossRef] [Green Version]
  28. Vasilatou, D.; Sioulas, V.D.; Pappa, V.; Papageorgiou, S.G.; Vlahos, N.F. The role of miRNAs in endometrial cancer. Epigenomics 2015, 7, 951–959. [Google Scholar] [CrossRef]
  29. Petersen, M.C.; Shulman, G.I. Mechanisms of insulin action and insulin resistance. Physiol. Rev. 2018, 98, 2133–2223. [Google Scholar] [CrossRef] [Green Version]
  30. Tabak, A.G.; Herder, C.; Rathman, W.; Brunner, E.J.; Kivimaki, M. Prediabetes: A high-risk state for developing diabetes. Lancet 2014, 379, 2279–2290. [Google Scholar] [CrossRef] [Green Version]
  31. Lai, Y.; Sun, C. Association of abnormal glucose metabolism and insulin resistance in patients with atypical and typical endometrial cancer. Oncol. Lett. 2018, 15, 2173–2178. [Google Scholar] [CrossRef]
  32. Saed, L.; Varse, F.; Baradaran, H.R.; Moradi, Y.; Khateri, S.; Friberg, E.; Khazaei, Z.; Gharahjeh, S.; Tehrani, S.; Sioofy-Khojine, A.B.; et al. The effect of diabetes on the risk of endometrial Cancer: An updated a systematic review and meta-analysis. BMC Cancer 2019, 19, 527. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Friberg, E.; Orsini, N.; Mantzoros, C.S.; Wolk, A. Diabetes mellitus and risk of endometrial cancer: A meta-analysis. Diabetologia 2007, 50, 1365–1374. [Google Scholar] [CrossRef] [PubMed]
  34. Sun, W.; Lu, J.; Wu, S.; Bi, Y.; Mu, Y.; Zhao, J.; Liu, C.; Chen, L.; Shi, L.; Li, Q.; et al. Association of insulin resistance with breast, ovarian, endometrial and cervical cancers in non-diabetic women. Am. J. Cancer Res. 2016, 6, 2334–2344. [Google Scholar] [PubMed]
  35. Soliman, P.T.; Wu, D.; Tortolero-Luna, G.; Schmeler, K.M.; Slomovitz, B.M.; Bray, M.S.; Gershenson, D.M.; Lu, K.H. Association between adiponectin, insulin resistance, and endometrial cancer. Cancer 2006, 106, 1376–2381. [Google Scholar] [CrossRef] [PubMed]
  36. Zeng, F.; Shi, J.; Long, Y.; Tian, H.; Li, X.; Zhao, A.Z.; Li, R.F.; Chen, T. Adiponectin and Endometrial Cancer: A Systematic Review and Meta-Analysis. Cell. Physiol. Biochem. 2015, 36, 1670–1678. [Google Scholar] [CrossRef] [PubMed]
  37. Lukanova, A.; Zeleniuch-Jacquotte, A.; Lundin, E.; Micheli, A.; Arslan, A.A.; Rinaldi, S.; Muti, P.; Lenner, P.; Koenig, K.L.; Biessy, C.; 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. [Google Scholar] [CrossRef]
  38. Burzawa, J.K.; Schmeler, K.M.; Soliman, P.T.; Meyer, L.A.; Bevers, M.W.; Pustilnik, T.L.; Anderson, M.L.; Ramondetta, L.M.; Tortolero-Luna, G.; Urbauer, D.L.; et al. Prospective evaluation of insulin resistance among endometrial cancer patients. Am. J. Obstet. Gynecol. 2011, 204, e1–e7. [Google Scholar] [CrossRef] [Green Version]
  39. Stocks, T.; Bjørge, T.; Ulmer, H.; Manjer, J.; Häggström, C.; Nagel, G.; Engeland, A.; Johansen, D.; Hallmans, G.; Selmer, R.; et al. Metabolic risk score and cancer risk: Pooled analysis of seven cohorts. Int. J. Epidemiol. 2015, 44, 1353–1363. [Google Scholar] [CrossRef] [Green Version]
  40. Nead, K.T.; Sharp, S.J.; Thompson, D.J.; Painter, J.N.; Savage, D.B.; Semple, R.K.; Barker, A.; Perry, J.R.B.; Attia, J.; Dunning, A.M.; et al. Evidence of a causal sssociation between insulinemia and endometrial cancer: A mendelian randomization analysis. J. Natl. Cancer Inst. 2015, 107, djv178. [Google Scholar] [CrossRef]
  41. Byrne, F.L.; Martin, A.R.; Kosasih, M.; Caruana, B.T.; Farrell, R. The role of hyperglycemia in endometrial cancer pathogenesis. Cancers Basel 2020, 12, 1191. [Google Scholar] [CrossRef]
  42. Garikapati, K.K.; Ammu, V.V.V.R.K.; Krishnamurthy, P.T.; Chintamaneni, P.K.; Pindiprolu, S.K.S.S. Type-II endometrial cancer: Role of adipokines. Arch. Gynecol. Obstet. 2019, 300, 239–249. [Google Scholar] [CrossRef] [PubMed]
  43. Kaya, S.; Kaya, B.; Keskin, H.L.; Kayhan Tetik, B.; Yavuz, F.A. Is there any relationship between benign endometrial pathologies and metabolic status? J. Obstet. Gynaecol. Lahore 2019, 39, 176–183. [Google Scholar] [CrossRef]
  44. Dossus, L.; Rinaldi, S.; Becker, S.; Lukanova, A.; Tjonneland, A.; Olsen, A.; Stegger, J.; Overvad, K.; Chabbert-Buffet, N.; Jimenez-Corona, A.; et al. Obesity, inflammatory markers, and endometrial cancer risk: A prospective case—Control study. Endocr. Relat. Cancer 2010, 17, 1007–1019. [Google Scholar] [CrossRef] [PubMed]
  45. Dossus, L.; Lukanova, A.; Rinaldi, S.; Allen, N.; Cust, A.E.; Becker, S.; Tjonneland, A.; Hansen, L.; Overvad, K.; Chabbert-Buffet, N.; et al. Hormonal, metabolic, and inflammatory profiles and endometrial cancer risk within the EPIC cohort—A factor analysis. Am. J. Epidemiol. 2013, 177, 787–799. [Google Scholar] [CrossRef]
  46. Di Zazzo, E.; Polito, R.; Bartollino, S.; Nigro, E.; Porcile, C.; Bianco, A.; Daniele, A.; Moncharmont, B. Adiponectin as link factor between adipose tissue and cancer. Int. J. Mol. Sci. 2019, 20, 839. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Calle, E.E.; Kaaks, R. Overweight, obesity and cancer: Epidemiological evidence and proposed mechanisms. Nat. Rev. Cancer 2004, 4, 579–591. [Google Scholar] [CrossRef]
  48. Boucher, J.; Kleinridders, A.; Kahn, C.R. Insulin receptor signaling in normal and insulin-resistant states. Cold Spring Harb. Perspect. Biol. 2014, 6, a009191. [Google Scholar] [CrossRef] [Green Version]
  49. Haeusler, R.A.; McGraw, T.E.; Accili, D. Metabolic signalling: Biochemical and cellular properties of insulin receptor signalling. Nat. Rev. Mol. Cell Biol. 2018, 19, 31–44. [Google Scholar] [CrossRef]
  50. Belfiore, A.; Malaguarnera, R. Insulin receptor and cancer. Endocr. Relat. Cancer 2011, 18, R125–R147. [Google Scholar] [CrossRef] [Green Version]
  51. Kadakia, R.; Josefson, J. The relationship of insulin-like growth factor 2 to fetal growth and adiposity. Horm. Res. Paediatr. 2016, 85, 75–82. [Google Scholar] [CrossRef]
  52. Denley, A.; Wallace, J.C.; Cosgrove, L.J.; Forbes, B.E. The insulin receptor isoform exon 11-(IR-A) in cancer and other diseases: A review. Horm. Metab. Res. 2003, 35, 778–785. [Google Scholar] [CrossRef] [PubMed]
  53. Wang, C.F.; Zhang, G.; Zhao, L.J.; Qi, W.J.; Li, X.P.; Wang, J.L.; Wei, L.H. Overexpression of the Insulin Receptor Isoform A Promotes Endometrial Carcinoma Cell Growth. PLoS ONE 2013, 8, e69001. [Google Scholar] [CrossRef] [PubMed]
  54. Flannery, C.A.; Saleh, F.L.; Choe, G.H.; Selen, D.J.; Kodaman, P.H.; Kliman, H.J.; Wood, T.L.; Taylor, H.S. Differential expression of IR-A, IR-B and IGF-1R in endometrial physiology and distinct signature in adenocarcinoma. J. Clin. Endocrinol. Metab. 2016, 101, 2883–2891. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Bruchim, I.; Sarfstein, R.; Werner, H. The IGF hormonal network in endometrial cancer: Functions, regulation, and targeting approaches. Front. Endocrinol. Lausanne 2014, 5, 76. [Google Scholar] [CrossRef] [Green Version]
  56. Djiogue, S.; Kamdje, A.H.N.; Vecchio, L.; Kipanyula, M.J.; Farahna, M.; Aldebasi, Y.; Etet, P.F.S. Insulin resistance and cancer: The role of insulin and IGFs. Endocr. Relat. Cancer 2013, 20, R1–R17. [Google Scholar] [CrossRef] [Green Version]
  57. Petridou, E.; Koukoulomatis, P.; Alexe, D.M.; Voulgaris, Z.; Spanos, E.; Trichopoulos, D. Endometrial cancer and the IGF system: A case-control study in Greece. Oncology 2003, 64, 341–345. [Google Scholar] [CrossRef]
  58. Epaud, R.; Aubey, F.; Xu, J.; Chaker, Z.; Clemessy, M.; Dautin, A.; Ahamed, K.; Bonora, M.; Hoyeau, N.; Fléjou, J.F.; et al. Knockout of insulin-like growth factor-1 receptor impairs distal lung morphogenesis. PLoS ONE 2012, 7, e48071. [Google Scholar] [CrossRef] [Green Version]
  59. Alvino, C.L.; Ong, S.C.; McNeil, K.A.; Delaine, C.; Booker, G.W.; Wallace, J.C.; Forbes, B.E. Understanding the mechanism of insulin and insulin-like growth factor (IGF) receptor activation by IGF-II. PLoS ONE 2011, 6, e27488. [Google Scholar] [CrossRef] [Green Version]
  60. Wang, C.; Su, K.; Zhang, Y.; Zhang, W.; Zhao, Q.; Chu, D.; Guo, R. IR-A/IGF-1R-mediated signals promote epithelial-mesenchymal transition of endometrial carcinoma cells by activating PI3K/AKT and ERK pathways. Cancer Biol. Ther. 2019, 20, 295–306. [Google Scholar] [CrossRef]
  61. Dai, C.; Li, N.; Song, G.; Yang, Y.; Ning, X. Insulin-like growth factor 1 regulates growth of endometrial carcinoma through PI3k signaling pathway in insulin-resistant type 2 diabetes. Am. J. Transl. Res. 2016, 8, 3329–3336. [Google Scholar]
  62. Joehlin-Price, A.S.; Stephens, J.A.; Zhang, J.; Backes, F.J.; Cohn, D.E.; Suarez, A.A. Endometrial cancer insulin-like growth factor 1 receptor (IGF1R) expression increases with body mass index and is associated with pathologic extent and prognosis. Cancer Epidemiol. Biomark. Prev. 2016, 25, 438–445. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Gunter, M.J.; Hoover, D.R.; Yu, H.; Wassertheil-Smoller, S.; Manson, J.E.; Li, J.; Harris, T.G.; Rohan, T.E.; Xue, X.N.; Ho, G.Y.F.; et al. A prospective evaluation of insulin and insulin-like growth factor-I as risk factors for endometrial cancer. Cancer Epidemiol. Biomark. Prev. 2008, 89, 921–929. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Roy, R.N.; Gerulath, A.H.; Cecutti, A.; Bhavnani, B.R. Discordant expression of insulin-like growth factors and their receptor messenger ribonucleic acids in endometrial carcinomas relative to normal endometrium. Mol. Cell. Endocrinol. 1999, 153, 19–27. [Google Scholar] [CrossRef]
  65. Ding, J.; Li, C.; Tang, J.; Yi, C.; Liu, J.Y.; Qiu, M. Higher Expression of Proteins in IGF/IR Axes in Colorectal Cancer is Associated with Type 2 Diabetes Mellitus. Pathol. Oncol. Res. 2016, 22, 773–779. [Google Scholar] [CrossRef]
  66. Werner, H.; Sarfstein, R.; Bruchim, I. Investigational IGF1R inhibitors in early stage clinical trials for cancer therapy. Expert Opin. Investig. Drugs 2019, 28, 1101–1112. [Google Scholar] [CrossRef]
  67. Cohen, D.H.; LeRoith, D. Obesity, type 2 diabetes, and cancer: The insulin and IGF connection. Endocr. Relat. Cancer 2012, 19, F25–F45. [Google Scholar] [CrossRef]
  68. Sarfstein, R.; Friedman, Y.; Attias-Geva, Z.; Fishman, A.; Bruchim, I.; Werner, H. Metformin downregulates the insulin/IGF-I signaling pathway and inhibits different uterine serous carcinoma (USC) cells proliferation and migration in p53-dependent or -independent manners. PLoS ONE 2013, 8, e61537. [Google Scholar] [CrossRef] [Green Version]
  69. Xie, W.; Li, T.; Yang, J.; Shang, M.; Xiao, Y.; Li, Q.; Yang, J. Metformin use and survival outcomes in endometrial cancer: A systematic review and meta-analysis. Oncotarget 2017, 8, 73079–73086. [Google Scholar] [CrossRef] [Green Version]
  70. Chu, D.; Wu, J.; Wang, K.; Zhao, M.; Wang, C.; Li, L.; Guo, R. Effect of metformin use on the risk and prognosis of endometrial cancer: A systematic review and meta-analysis. BMC Cancer 2018, 18, 438. [Google Scholar] [CrossRef] [Green Version]
  71. Guo, J.; Xu, K.; An, M.; Zhao, Y. Metformin and endometrial cancer survival: A quantitative synthesis of observational studies. Oncotarget 2017, 8, 66169–66177. [Google Scholar] [CrossRef]
  72. Allard, J.B.; Duan, C. IGF-binding proteins: Why do they exist and why are there so many? Front. Endocrinol. Lausanne 2018, 9, 117. [Google Scholar] [CrossRef] [Green Version]
  73. Rajwani, A.; Ezzat, V.; Smith, J.; Yuldasheva, N.Y.; Duncan, E.R.; Gage, M.; Cubbon, R.M.; Kahn, M.B.; Imrie, H.; Abbas, A.; et al. Increasing circulating IGFBP1 levels improves insulin sensitivity, promotes nitric oxide production, lowers blood pressure, and protects against atherosclerosis. Diabetes 2012, 61, 915–924. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Poloz, Y.; Stambolic, V. Obesity and cancer, a case for insulin signaling. Cell Death Dis. 2015, 6, e2037. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. 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, 1697–1704. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Russo, V.C.; Azar, W.J.; Yau, S.W.; Sabin, M.A.; Werther, G.A. IGFBP-2: The dark horse in metabolism and cancer. Cytokine Growth Factor Rev. 2015, 26, 329–346. [Google Scholar] [CrossRef] [PubMed]
  77. Wheatcroft, S.B.; Kearney, M.T.; Shah, A.M.; Ezzat, V.A.; Miell, J.R.; Modo, M.; Williams, S.C.R.; Cawthorn, W.P.; Medina-Gomez, G.; Vidal-Puig, A.; et al. IGF-binding protein-2 protects against the development of obesity and insulin resistance. Diabetes 2007, 56, 285–294. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  78. Yau, S.W.; Azar, W.J.; Sabin, M.A.; Werther, G.A.; Russo, V.C. IGFBP-2—Taking the lead in growth, metabolism and cancer. J. Cell Commun. Signal. 2015, 9, 125–142. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Lee, E.J.; Mircean, C.; Shmulevich, I.; Wang, H.; Liu, J.; Niemistö, A.; Kavanagh, J.J.; Lee, J.H.; Zhang, W. Insulin-like growth factor binding protein 2 promotes ovarian cancer cell invasion. Mol. Cancer 2005, 4, 7. [Google Scholar] [CrossRef] [Green Version]
  80. Guo, C.; Lu, H.; Gao, W.; Wang, L.; Lu, K.; Wu, S.; Pataer, A.; Huang, M.; El-Zein, R.; Lin, T.; et al. Insulin-like growth factor binding protein-2 level is increased in blood of lung cancer patients and associated with poor survival. PLoS ONE 2013, 8, e74973. [Google Scholar] [CrossRef] [Green Version]
  81. Liu, H.; Li, L.; Chen, H.; Kong, R.; Pan, S.; Hu, J.; Wang, Y.; Li, Y.; Sun, B. Silencing IGFBP-2 decreases pancreatic cancer metastasis and enhances chemotherapeutic sensitivity. Oncotarget 2017, 8, 61674–61686. [Google Scholar] [CrossRef] [Green Version]
  82. Liu, Y.; Song, C.; Shen, F.; Zhang, J.; Song, S.W. IGFBP2 promotes immunosuppression associated with its mesenchymal induction and FcγRIIB phosphorylation in glioblastoma. PLoS ONE 2019, 14, e0222999. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Pickard, A.; McCance, D.J. IGF-binding protein 2—Oncogene or tumor suppressor? Front. Endocrinol. Lausanne 2015, 6, 25. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Jogie-Brahim, S.; Feldman, D.; Oh, Y. Unraveling insulin-like growth factor binding protein-3 actions in human disease. Endocr. Rev. 2009, 30, 417–437. [Google Scholar] [CrossRef] [Green Version]
  85. Mochizuki, T.; Sakai, K.; Iwashita, M. Effects of insulin-like growth factor (IGF) binding protein-3 (IGFBP-3) on endometrial cancer (HHUA) cell apoptosis and EGF stimulated cell proliferation in vitro. Growth Horm. IGF Res. 2006, 16, 202–210. [Google Scholar] [CrossRef] [PubMed]
  86. Wang, E.A.; Chen, W.Y.; Wong, C.H. Multiple growth factor targeting by engineered insulin-like rowth factor binding protein-3 augments EGF receptor tyrosine kinase inhibitor efficacy. Sci. Rep. 2020, 10, 2735. [Google Scholar] [CrossRef] [PubMed]
  87. Groothuis, P.G.; Dassen, H.H.N.M.; Romano, A.; Punyadeera, C. Estrogen and the endometrium: Lessons learned from gene expression profiling in rodents and human. Hum. Reprod. Update 2007, 13, 405–417. [Google Scholar] [CrossRef] [Green Version]
  88. Gupte, A.A.; Pownall, H.J.; Hamilton, D.J. Estrogen: An emerging regulator of insulin action and mitochondrial function. J. Diabetes Res. 2015, 2015, 916585. [Google Scholar] [CrossRef] [Green Version]
  89. Barros, R.P.A.; Machado, U.F.; Warner, M.; Gustafsson, J.Å. Muscle GLUT4 regulation by estrogen receptors ERβ and ERα. Proc. Natl. Acad. Sci. USA 2006, 103, 1605–1608. [Google Scholar] [CrossRef] [Green Version]
  90. Rodriguez, A.C.; Blanchard, Z.; Maurer, K.A.; Gertz, J. Estrogen signaling in endometrial cancer: A key oncogenic pathway with several open questions. Horm. Cancer 2019, 10, 51–63. [Google Scholar] [CrossRef] [Green Version]
  91. De Marco, P.; Cirillo, F.; Vivacqua, A.; Malaguarnera, R.; Belfiore, A.; Maggiolini, M. Novel aspects concerning the functional cross-talk between the insulin/IGF-I system and estrogen signaling in cancer cells. Front. Endocrinol. Lausanne 2015, 6, 30. [Google Scholar] [CrossRef] [Green Version]
  92. Massarweh, S.; Osborne, C.K.; Creighton, C.J.; Qin, L.; Tsimelzon, A.; Huang, S.; Weiss, H.; Rimawi, M.; Schiff, R. Tamoxifen resistance in breast tumors is driven by growth factor receptor signaling with repression of classic estrogen receptor genomic function. Cancer Res. 2008, 68, 826–833. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Lundholm, L.; Bryzgalova, G.; Gao, H.; Portwood, N.; Fält, S.; Berndt, K.D.; Dicker, A.; Galuska, D.; Zierath, J.R.; Gustafsson, J.Å.; et al. The estrogen receptor α-selective agonist propyl pyrazole triol improves glucose tolerance in ob/ob mice; potential molecular mechanisms. J. Endocrinol. 2008, 199, 275–286. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Yan, H.; Yang, W.; Zhou, F.; Li, X.; Pan, Q.; Shen, Z.; Han, G.; Newell-Fugate, A.; Tian, Y.; Majeti, R.; et al. Estrogen improves insulin sensitivity and suppresses gluconeogenesis via the transcription factor Foxo1. Diabetes 2019, 68, 291–304. [Google Scholar] [CrossRef] [Green Version]
  95. Root-Bernstein, R.; Podufaly, A.; Dillon, P.F. Estradiol binds to insulin and insulin receptor decreasing insulin binding in vitro. Front. Endocrinol. Lausanne 2014, 5, 118. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. Tee, M.K.; Rogatsky, I.; Tzagarakis-Foster, C.; Cvoro, A.; An, J.; Christy, R.J.; Yamamoto, K.R.; Leitman, D.C. Estradiol and selective estrogen receptor modulators differentially regulate target genes with estrogen receptors α and β. Mol. Biol. Cell 2004, 15, 1262–1272. [Google Scholar] [CrossRef] [Green Version]
  97. Yu, H. Role of the Insulin-Like Growth Factor Family in Cancer Development and Progression. J. Natl. Cancer Inst. 2000, 92, 1472–1489. [Google Scholar] [CrossRef]
  98. Merritt, M.A.; Strickler, H.D.; Einstein, M.H.; Yang, H.P.; Sherman, M.E.; Wentzensen, N.; Brouwer-Visser, J.; Cossio, M.J.; Whitney, K.D.; Yu, H.; et al. Insulin/IGF and sex hormone axes in human endometrium and associations with endometrial cancer risk factors. Cancer Causes Control. 2016, 27, 737–748. [Google Scholar] [CrossRef] [Green Version]
  99. Ito, K.; Utsunomiya, H.; Yaegashi, N.; Sasano, H. Biological roles of estrogen and progesterone in human endometrial carcinoma—New developments in potential endocrine therapy for endometrial cancer. Endocr. J. 2007, 54, 667–679. [Google Scholar] [CrossRef] [Green Version]
  100. Trabert, B.; Wentzensen, N.; Yang, H.P.; Sherman, M.E.; Hollenbeck, A.R.; Park, Y.; Brinton, L.A. Is estrogen plus progestin menopausal hormone therapy safe with respect to endometrial cancer risk? Int. J. Cancer 2013, 132, 417–426. [Google Scholar] [CrossRef] [Green Version]
  101. Brinton, L.A.; Trabert, B.; Anderson, G.L.; Falk, R.T.; Felix, A.S.; Fuhrman, B.J.; Gass, M.L.; Kuller, L.H.; Pfeiffer, R.M.; Rohan, T.E.; et al. Serum estrogens and estrogen metabolites and endometrial cancer risk among postmenopausal women. Cancer Epidemiol. Biomark. Prev. 2016, 25, 1081–1089. [Google Scholar] [CrossRef] [Green Version]
  102. Arcidiacono, B.; Iiritano, S.; Nocera, A.; Possidente, K.; Nevolo, M.T.; Ventura, V.; Foti, D.; Chiefari, E.; Brunetti, A. Insulin resistance and cancer risk: An overview of the pathogenetic mechanisms. Exp. Diabetes Res. 2012, 2012, 789174. [Google Scholar] [CrossRef] [Green Version]
  103. Tian, W.; Teng, F.; Zhao, J.; Gao, J.; Gao, C.; Sun, D.; Liu, G.; Zhang, Y.; Yu, S.; Zhang, W.; et al. Estrogen and insulin synergistically promote type 1 endometrial cancer progression. Cancer Biol. Ther. 2017, 18, 1000–1010. [Google Scholar] [CrossRef]
  104. Randolph, J.F.; Kipersztok, S.; Ayers, J.W.T.; Ansbacher, R.; Peegel, H.; Menon, K.M.J. The effect of insulin on aromatase activity in isolated human endometrial glands and stroma. Am. J. Obstet. Gynecol. 1987, 157, 1534–1539. [Google Scholar] [CrossRef]
  105. Wolff, L.G.; Vassallo, J.; Pinto, C.B.; Yela, D.A.; Monteiro, I.U. Correlation between insulin resistance and steroid endometrial receptors, KI-67 and BCL-2 after menopause. Women’s Health Sci. J. 2017, 1, 000104. [Google Scholar] [CrossRef]
  106. Winters, S.J.; Gogineni, J.; Karegar, M.; Scoggins, C.; Wunderlich, C.A.; Baumgartner, R.; Ghooray, D.T. Sex hormone-binding globulin gene expression and insulin resistance. J. Clin. Endocrinol. Metab. 2014, 99, E2780–E2788. [Google Scholar] [CrossRef]
  107. Gallagher, E.J.; LeRoith, D. The proliferating role of insulin and insulin-like growth factors in cancer. Trends Endocrinol. Metab. 2010, 21, 610–618. [Google Scholar] [CrossRef] [Green Version]
  108. Makki, K.; Froguel, P.; Wolowczuk, I. Adipose tissue in obesity-related inflammation and insulin resistance: Cells, cytokines, and chemokines. ISRN Inflamm. 2013, 2013, 139239. [Google Scholar] [CrossRef] [Green Version]
  109. Parida, S.; Siddharth, S.; Sharma, D. Adiponectin, obesity, and cancer: Clash of the bigwigs in health and disease. Int. J. Mol. Sci. 2019, 20, 2519. [Google Scholar] [CrossRef] [Green Version]
  110. Prakash, J.; Mittal, B.; Awasthi, S.; Agarwal, C.G.; Srivastava, N. Hypoadiponectinemia in obesity: Association with insulin resistance. Indian J. Clin. Biochem. 2013, 28, 158–163. [Google Scholar] [CrossRef] [Green Version]
  111. Gelsomino, L.; Naimo, G.D.; Catalano, S.; Mauro, L.; Andò, S. The emerging role of adiponectin in female malignancies. Int. J. Mol. Sci. 2019, 20, 2127. [Google Scholar] [CrossRef] [Green Version]
  112. Cust, A.E.; Kaaks, R.; Friedenreich, C.; Bonnet, F.; Laville, M.; Lukanova, A.; Rinaldi, S.; Dossus, L.; Slimani, N.; Lundin, E.; et al. Plasma adiponectin levels and endometrial cancer risk in pre- and postmenopausal women. J. Clin. Endocrinol. Metab. 2007, 92, 255–263. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Dal Maso, L.; Augustin, L.S.A.; Karalis, A.; Talamini, R.; Franceschi, S.; Trichopoulos, D.; Mantzoros, C.S.; La Vecchia, C. Circulating adiponectin and endometrial cancer risk. J. Clin. Endocrinol. Metab. 2004, 89, 1160–1163. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  114. Piya, M.K.; McTernan, P.G.; Kumar, S. Adipokine inflammation and insulin resistance: The role of glucose, lipids and endotoxin. J. Endocrinol. 2013, 216, T1–T15. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  115. Hedbacker, K.; Birsoy, K.; Wysocki, R.W.; Asilmaz, E.; Ahima, R.S.; Farooqi, I.S.; Friedman, J.M. Antidiabetic effects of IGFBP2, a leptin-regulated gene. Cell Metab. 2010, 11, 11–22. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  116. Neumann, U.H.; Chen, S.; Tam, Y.Y.C.; Baker, R.K.; Covey, S.D.; Cullis, P.R.; Kieffer, T.J. IGFBP2 is neither sufficient nor necessary for the physiological actions of leptin on glucose homeostasis in male ob/ob mice. Endocrinology 2014, 155, 716–725. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  117. Osegbe, I.; Okpara, H.; Azinge, E. Relationship between serum leptin and insulin resistance among obese Nigerian women. Ann. Afr. Med. 2016, 15, 14–19. [Google Scholar] [CrossRef] [Green Version]
  118. Wang, T.N.; Chang, W.T.; Chiu, Y.W.; Lee, C.Y.; Lin, K.D.; Cheng, Y.Y.; Su, Y.J.; Chung, H.F.; Huang, M.C. Relationships between changes in leptin and insulin resistance levels in obese individuals following weight loss. Kaohsiung J. Med. Sci. 2013, 29, 436–443. [Google Scholar] [CrossRef] [Green Version]
  119. Zuo, H.; Shi, Z.; Yuan, B.; Dai, Y.; Wu, G.; Hussain, A. Association between serum leptin concentrations and insulin resistance: A population-based study from China. PLoS ONE 2013, 8, e54615. [Google Scholar] [CrossRef] [Green Version]
  120. Ding, S.; Madu, C.O.; Lu, Y. The impact of hormonal imbalances associated with obesity on the incidence of endometrial cancer in postmenopausal women. J. Cancer 2020, 11, 5456–5465. [Google Scholar] [CrossRef]
  121. Schmandt, R.E.; Iglesias, D.A.; Co, N.N.; Lu, K.H. Understanding obesity and endometrial cancer risk: Opportunities for prevention. Am. J. Obstet. Gynecol. 2011, 205, 518–525. [Google Scholar] [CrossRef] [Green Version]
  122. Wang, J.; Obici, S.; Morgan, K.; Barzilai, N.; Feng, Z.; Rossetti, L. Overfeeding rapidly induces leptin and insulin resistance. Diabetes 2001, 50, 2786–2791. [Google Scholar] [CrossRef] [Green Version]
  123. Uzan, J.; Laas, E.; Alsamad, I.A.; Skalli, D.; Mansouri, D.; Haddad, B.; Touboul, C. Supervised clustering of adipokines and hormonal receptors predict prognosis in a population of obese women with type 1 endometrial cancer. Int. J. Mol. Sci. 2017, 185, 1055. [Google Scholar] [CrossRef] [Green Version]
  124. Lin, T.; Zhao, X.; Kong, W.M. Association between adiponectin levels and endometrial carcinoma risk: Evidence from a dose-response meta-analysis. BMJ Open 2015, 5, e008541. [Google Scholar] [CrossRef]
  125. Gong, T.T.; Wu, Q.J.; Wang, Y.L.; Ma, X.X. Circulating adiponectin, leptin and adiponectin-leptin ratio and endometrial cancer risk: Evidence from a meta-analysis of epidemiologic studies. Int. J. Cancer 2015, 137, 1967–1978. [Google Scholar] [CrossRef]
  126. 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. [Google Scholar] [CrossRef] [Green Version]
  127. Busch, E.L.; Crous-Bou, M.; Prescott, J.; Downing, M.J.; Rosner, B.A.; Mutter, G.L.; De Vivo, I. Adiponectin, leptin, and insulin-pathway receptors as endometrial cancer subtyping markers. Horm. Cancer 2018, 9, 33–39. [Google Scholar] [CrossRef]
  128. Hebbard, L.; Ranscht, B. Multifaceted roles of Adiponectin in cancer. Best Pract. Res. Clin. Endocrinol. Metab. 2014, 28, 56–59. [Google Scholar] [CrossRef] [Green Version]
  129. VanSaun, M.N. Molecular pathways: Adiponectin and leptin signaling in cancer. Clin. Cancer Res. 2013, 19, 1926–1932. [Google Scholar] [CrossRef] [Green Version]
  130. Tumminia, A.; Vinciguerra, F.; Parisi, M.; Graziano, M.; Sciacca, L.; Baratta, R.; Frittitta, L. Adipose tissue, obesity and adiponectin: Role in endocrine cancer risk. Int. J. Mol. Sci. 2019, 20, 2863. [Google Scholar] [CrossRef] [Green Version]
  131. Ilhan, T.T.; Kebapcilar, A.; Yilmaz, S.A.; Ilhan, T.; Kerimoglu, O.S.; Pekin, A.T.; Akyurek, F.; Unlu, A.; Celik, C. Relations of serum visfatin and resistin levels with endometrial cancer and factors associated with its prognosis. Asian Pac. J. Cancer Prev. 2015, 16, 4503–4508. [Google Scholar] [CrossRef] [Green Version]
  132. Hlavna, M.; Kohut, L.; Lipkova, J.; Bienertova-Vasku, J.; Dostalova, Z.; Chovanec, J.; Vasku, A. Relationship of resistin levels with endometrial cancer risk. Neoplasma 2011, 58, 124–128. [Google Scholar] [CrossRef] [PubMed]
  133. Rabe, K.; Lehrke, M.; Parhofer, K.G.; Broedl, U.C. Adipokines and insulin resistance. Mol. Med. 2008, 14, 741–751. [Google Scholar] [CrossRef] [PubMed]
  134. Catalanotto, C.; Cogoni, C.; Zardo, G. MicroRNA in control of gene expression: An overview of nuclear functions. Int. J. Mol. Sci. 2016, 17, 1712. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  135. O’Brien, J.; Hayder, H.; Zayed, Y.; Peng, C. Overview of microRNA biogenesis, mechanisms of actions, and circulation. Front. Endocrinol. Lausanne 2018, 9, 402. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  136. Nigi, L.; Grieco, G.E.; Ventriglia, G.; Brusco, N.; Mancarella, F.; Formichi, C.; Dotta, F.; Sebastiani, G. MicroRNAs as regulators of insulin signaling: Research updates and potential therapeutic perspectives in type 2 diabetes. Int. J. Mol. Sci. 2018, 19, 3705. [Google Scholar] [CrossRef] [Green Version]
  137. Khan, S.; Wang, C.H. ER stress in adipocytes and insulin resistance: Mechanisms and significance (Review). Mol. Med. Rep. 2014, 10, 2234–2240. [Google Scholar] [CrossRef]
  138. Wang, J.; Chen, J.; Sen, S. MicroRNA as Biomarkers and Diagnostics. J. Cell. Physiol. 2016, 231, 25–30. [Google Scholar] [CrossRef]
  139. La Ferlita, A.; Battaglia, R.; Andronico, F.; Caruso, S.; Cianci, A.; Purrello, M.; Di Pietro, C. Non-coding RNAs in endometrial physiopathology. Int. J. Mol. Sci. 2018, 19, 2120. [Google Scholar] [CrossRef] [Green Version]
  140. Martello, G.; Rosato, A.; Ferrari, F.; Manfrin, A.; Cordenonsi, M.; Dupont, S.; Enzo, E.; Guzzardo, V.; Rondina, M.; Spruce, T.; et al. A microRNA targeting dicer for metastasis control. Cell 2010, 141, 1195–1207. [Google Scholar] [CrossRef] [Green Version]
  141. Wang, Q.; Xu, K.; Tong, Y.; Dai, Z.; Xu, T.; He, D.; Ying, J. Novel miRNA markers for the diagnosis and prognosis of endometrial cancer. J. Cell. Mol. Med. 2020, 24, 4533–4546. [Google Scholar] [CrossRef] [Green Version]
  142. Ratner, E.S.; Tuck, D.; Richter, C.; Nallur, S.; Patel, R.M.; Schultz, V.; Hui, P.; Schwartz, P.E.; Rutherford, T.J.; Weidhaas, J.B. MicroRNA signatures differentiate uterine cancer tumor subtypes. Gynecol. Oncol. 2010, 118, 251–257. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  143. Kalinkova, L.; Kajo, K.; Karhanek, M.; Wachsmannova, L.; Suran, P.; Zmetakova, I.; Fridrichova, I. Discriminating miRNA profiles between endometrioid well- and poorly-differentiated tumours and endometrioid and serous subtypes of endometrial cancers. Int. J. Mol. Sci. 2020, 21, 6071. [Google Scholar] [CrossRef] [PubMed]
  144. Chung, T.K.H.; Cheung, T.H.; Huen, N.Y.; Wong, K.W.Y.; Lo, K.W.K.; Yim, S.F.; Siu, N.S.S.; Wong, Y.M.; Tsang, P.T.; Pang, M.W.; et al. Dysregulated microRNAs and their predicted targets associated with endometrioid endometrial adenocarcinoma in Hong Kong women. Int. J. Cancer 2009, 124, 1358–1365. [Google Scholar] [CrossRef] [PubMed]
  145. Hiroki, E.; Akahira, J.I.; Suzuki, F.; Nagase, S.; Ito, K.; Suzuki, T.; Sasano, H.; Yaegashi, N. Changes in microRNA expression levels correlate with clinicopathological features and prognoses in endometrial serous adenocarcinomas. Cancer Sci. 2010, 101, 241–249. [Google Scholar] [CrossRef]
  146. Jia, W.; Wu, Y.; Zhang, Q.; Gao, G.; Zhang, C.; Xiang, Y. Identification of four serum microRNAs from a genome-wide serum microRNA expression profile as potential non-invasive biomarkers for endometrioid endometrial cancer. Oncol. Lett. 2013, 6, 261–267. [Google Scholar] [CrossRef] [Green Version]
  147. Montagnana, M.; Benati, M.; Danese, E.; Giudici, S.; Perfranceschi, M.; Ruzzenenete, O.; Salvagno, G.L.; Bassi, A.; Gelati, M.; Paviati, E.; et al. Aberrant microRNA epression in patients with endometrial cancer. Int. J. Gynecol. Cancer 2017, 27, 459–466. [Google Scholar] [CrossRef]
  148. Devor, E.J.; Hovey, A.M.; Goodheart, M.J.; Ramachandran, S.; Leslie, K.K. MicroRNA expression profiling of endometrial endometrioid adenocarcinomas and serous adenocarcinomas reveals profiles containing shared, unique and differentiating groups of microRNAs. Oncol. Rep. 2011, 26, 995–1002. [Google Scholar] [CrossRef] [Green Version]
  149. Cohn, D.E.; Fabbri, M.; Valeri, N.; Alder, H.; Ivanov, I.; Liu, C.G.; Croce, C.M.; Resnick, K.E. Comprehensive miRNA profiling of surgically staged endometrial cancer. Am. J. Obstet. Gynecol. 2010, 202, 656.e1–656.e8. [Google Scholar] [CrossRef] [Green Version]
  150. Wu, Y.S.; Lin, H.; Chen, D.; Yi, Z.; Zeng, B.; Jiang, Y.; Ren, G. A four-miRNA signature as a novel biomarker for predicting survival in endometrial cancer. Gene 2019, 697, 86–93. [Google Scholar] [CrossRef]
  151. Donkers, H.; Bekkers, R.; Galaal, K. Diagnostic value of microRNA panel in endometrial cancer: A systematic review. Oncotarget 2020, 11, 2010–2023. [Google Scholar] [CrossRef]
  152. Zhu, H.; Ng, S.C.; Segr, A.V.; Shinoda, G.; Shah, S.P.; Einhorn, W.S.; Takeuchi, A.; Engreitz, J.M.; Hagan, J.P.; Kharas, M.G.; et al. The Lin28/let-7 axis regulates glucose metabolism. Cell 2011, 147, 81–94. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  153. Liu, P.; Qi, M.; Ma, C.; Lao, G.; Liu, Y.; Liu, Y.; Liu, Y. Let7a inhibits the growth of endometrial carcinoma cells by targeting Aurora-B. FEBS Lett. 2013, 587, 2523–2529. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  154. Chirshev, E.; Oberg, K.C.; Ioffe, Y.J.; Unternaehrer, J.J. Let-7 as biomarker, prognostic indicator, and therapy for precision medicine in cancer. Clin. Transl. Med. 2019, 8, 24. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  155. Myatt, S.S.; Wang, J.; Monteiro, L.J.; Christian, M.; Ho, K.-K.; Fusi, L.; Dina, R.E.; Brosens, J.J.; Ghaem-Maghami, S.; Lam, E.W.-F. Repression of FOXO1 expression by microRNAs in endometrial cancer. Cancer Res. 2010, 70, 367–377. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  156. Ramachandran, D.; Roy, U.; Garg, S.; Ghosh, S.; Pathak, S.; Kolthur-Seetharam, U. Sirt1 and mir-9 expression is regulated during glucose-stimulated insulin secretion in pancreatic β-islets. FEBS J. 2011, 287, 1167–1174. [Google Scholar] [CrossRef]
  157. Wu, P.; Wang, Q.; Jiang, C.; Chen, C.; Liu, Y.; Chen, Y.; Zeng, Y. MicroRNA-29a is involved lipid metabolism dysfunction and insulin resistance in C2C12 myotubes by targeting PPARδ. Mol. Med. Rep. 2018, 17, 8493–8501. [Google Scholar] [CrossRef]
  158. Jiang, T.; Sui, D.; You, D.; Yao, S.; Zhang, L.; Wang, Y.; Zhao, J.; Zhang, Y. MiR-29a-5p inhibits proliferation and invasion and induces apoptosis in endometrial carcinoma via targeting TPX2. Cell Cycle 2018, 17, 1268–1278. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  159. He, A.; Zhu, L.; Gupta, N.; Chang, Y.; Fang, F. Overexpression of micro ribonucleic acid 29, highly up-regulated in diabetic rats, leads to insulin resistance in 3T3-L1 adipocytes. Mol. Endocrinol. 2007, 21, 2785–2794. [Google Scholar] [CrossRef]
  160. Chen, H.X.; Xu, X.X.; Tan, B.Z.; Zhang, Z.; Zhou, X.D. MicroRNA-29b inhibits angiogenesis by targeting VEGFA through the MAPK/ERK and PI3K/Akt signaling pathways in endometrial carcinoma. Cell. Physiol. Biochem. 2017, 41, 933–946. [Google Scholar] [CrossRef]
  161. Kong, J.; He, X.; Wang, Y.; Li, J. Effect of microRNA-29b on proliferation, migration, and invasion of endometrial cancer cells. J. Int. Med. Res. 2019, 47, 3803–3817. [Google Scholar] [CrossRef]
  162. Massart, J.; Sjögren, R.J.O.; Lundell, L.S.; Mudry, J.M.; Franck, N.; O’Gorman, D.J.; Egan, B.; Zierath, J.R.; Krook, A. Altered miR-29 expression in type 2 diabetes influences glucose and lipid metabolism in skeletal muscle. Diabetes 2017, 66, 1807–1818. [Google Scholar] [CrossRef] [Green Version]
  163. van Sinderen, M.; Griffiths, M.; Menkhorst, E.; Niven, K.; Dimitriadis, E. Restoration of microRNA-29c in type I endometrioid cancer reduced endometrial cancer cell growth. Oncol. Lett. 2019, 18, 2684–2693. [Google Scholar] [CrossRef] [PubMed]
  164. Yu, D.; Zhou, H.; Xun, Q.; Xu, X.; Ling, J.; Hu, Y. microRNA-103 regulates the growth and invasion of endometrial cancer cells through the downregulation of tissue inhibitor of metalloproteinase 3. Oncol. Lett. 2012, 3, 1221–1226. [Google Scholar] [CrossRef] [Green Version]
  165. Trajkovski, M.; Hausser, J.; Soutschek, J.; Bhat, B.; Akin, A.; Zavolan, M.; Heim, M.H.; Stoffel, M. MicroRNAs 103 and 107 regulate insulin sensitivity. Nature 2011, 474, 649–654. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  166. Bao, W.; Zhang, Y.; Li, S.; Fan, Q.; Qiu, M.; Wang, Y.; Li, Y.; Ji, X.; Yang, Y.; Sang, Z.; et al. MiR-107-5p promotes tumor proliferation and invasion by targeting estrogen receptor-α in endometrial carcinoma. Oncol. Rep. 2019, 41, 1575–1585. [Google Scholar] [CrossRef]
  167. Ryu, H.S.; Park, S.Y.; Ma, D.; Zhang, J.; Lee, W. The induction of microrna targeting IRS-1 is involved in the development of insulin resistance under conditions of mitochondrial dysfunction in hepatocytes. PLoS ONE 2011, 6, e17343. [Google Scholar] [CrossRef]
  168. Zhao, X.; Zhu, D.; Lu, C.; Yan, D.; Li, L.; Chen, Z. MicroRNA-126 inhibits the migration and invasion of endometrial cancer cells by targeting insulin receptor substrate 1. Oncol. Lett. 2016, 11, 1207–1212. [Google Scholar] [CrossRef] [Green Version]
  169. Liu, Y.; Hua, T.; Chi, S.; Wang, H. Identification of key pathways and genes in endometrial cancer using bioinformatics analyses. Oncol. Lett. 2019, 17, 897–906. [Google Scholar] [CrossRef]
  170. Yu, X.; Zhong, L. Pioglitazone/microRNA-141/FOXA2: A novel axis in pancreatic β-cells proliferation and insulin secretion. Mol. Med. Rep. 2018, 17, 7931–7938. [Google Scholar] [CrossRef] [Green Version]
  171. Yoneyama, K.; Ishibashi, O.; Kawase, R.; Kurose, K.; Takeshita, T. MiR-200a, miR-200b and miR-429 are onco-miRs that target the PTEN gene in endometrioid endometrial carcinoma. Anticancer Res. 2015, 35, 1401–1410. [Google Scholar]
  172. Filios, S.R.; Xu, G.; Chen, J.; Hong, K.; Jing, G.; Shalev, A. MicroRNA-200 is induced by thioredoxin-interacting protein and regulates Zeb1 protein signaling and beta cell. J. Biol. Chem. 2014, 289, 36275–36283. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  173. Peng, J.; Zhou, Y.; Deng, Z.; Zhang, H.; Wu, Y.; Song, T.; Yang, Y.; Wei, H.; Peng, J. miR-221 negatively regulates inflammation and insulin sensitivity in white adipose tissue by repression of sirtuin-1 (SIRT1). J. Cell. Biochem. 2018, 119, 6418–6428. [Google Scholar] [CrossRef] [PubMed]
  174. Penolazzi, L.; Bonaccorsi, G.; Gafà, R.; Ravaioli, N.; Gabriele, D.; Bosi, C.; Lanza, G.; Greco, P.; Piva, R. SLUG/HIF1-α/miR-221 regulatory circuit in endometrial cancer. Gene 2019, 711, 143938. [Google Scholar] [CrossRef] [PubMed]
  175. Ono, K.; Igata, M.; Kondo, T.; Kitano, S.; Takaki, Y.; Hanatani, S.; Sakaguchi, M.; Goto, R.; Senokuchi, T.; Kawashima, J.; et al. Identification of microRNA that represses IRS-1 expression in liver. PLoS ONE 2018, 13, e0191553. [Google Scholar] [CrossRef]
  176. Liu, B.; Che, Q.; Qiu, H.; Bao, W.; Chen, X.; Lu, W.; Li, B.; Wan, X. Elevated miR-222-3p promotes proliferation and invasion of endometrial carcinoma via targeting ERα. PLoS ONE 2014, 9, e87563. [Google Scholar] [CrossRef] [Green Version]
  177. Shu, S.; Liu, X.; Xu, M.; Gao, X.; Chen, S.; Zhang, L.; Li, R. MicroRNA-320a acts as a tumor suppressor in endometrial carcinoma by targeting IGF-1R. Int. J. Mol. Med. 2019, 43, 1505–1512. [Google Scholar] [CrossRef] [Green Version]
  178. Ling, H.Y.; Ou, H.S.; Feng, S.D.; Zhang, X.Y.; Tuo, Q.H.; Chen, L.X.; Zhu, B.Y.; Gao, Z.P.; Tang, C.K.; Yin, W.D.; et al. Changes in microrna (mir) profile and effects of mir-320 in insulin-resistant 3t3-l1 adipocytes. Clin. Exp. Pharmacol. Physiol. 2009, 36, e32–e39. [Google Scholar] [CrossRef]
  179. Jayaraman, M.; Radhakrishnan, R.; Mathews, C.A.; Yan, M.; Husain, S.; Moxley, K.M.; Song, Y.S.; Dhanasekaran, D.N. Identification of novel diagnostic and prognostic miRNA signatures in endometrial cancer. Genes Cancer 2017, 8, 566–576. [Google Scholar] [CrossRef]
  180. Cinkornpumin, J.; Roos, M.; Nguyen, L.; Liu, X.; Gaeta, X.; Lin, S.; Chan, D.N.; Liu, A.; Gregory, R.I.; Jung, M.; et al. A small molecule screen to identify regulators of let-7 targets. Sci. Rep. 2017, 7, 15973. [Google Scholar] [CrossRef]
  181. Frost, R.J.A.; Olson, E.N. Control of glucose homeostasis and insulin sensitivity by the Let-7 family of microRNAs. Proc. Natl. Acad. Sci. USA 2011, 108, 21075–21080. [Google Scholar] [CrossRef] [Green Version]
  182. Zhang, B.H.; Shen, C.A.; Zhu, B.W.; An, H.Y.; Zheng, B.; Xu, S.B.; Sun, J.C.; Sun, P.C.; Zhang, W.; Wang, J.; et al. Insight into miRNAs related with glucometabolic disorder. Biomed. Pharmacother. 2019, 111, 657–665. [Google Scholar] [CrossRef] [PubMed]
  183. Jiang, S. A regulator of metabolic reprogramming: MicroRNA Let-7. Transl. Oncol. 2019, 12, 1005–1013. [Google Scholar] [CrossRef] [PubMed]
  184. Delangle, R.; De Foucher, T.; Larsen, A.K.; Sabbah, M.; Azaïs, H.; Bendifallah, S.; Daraï, E.; Ballester, M.; Mehats, C.; Uzan, C.; et al. The use of microRNAs in the management of endometrial cancer: A meta-analysis. Cancers 2019, 11, 832. [Google Scholar] [CrossRef] [Green Version]
  185. Srivastava, S.K.; Ahmad, A.; Zubair, H.; Miree, O.; Singh, S.; Rocconi, R.P.; Scalici, J.; Singh, A.P. MicroRNAs in gynecological cancers: Small molecules with big implications. Cancer Lett. 2017, 407, 123–138. [Google Scholar] [CrossRef] [PubMed]
  186. Jurcevic, S.; Olsson, B.; Klinga-Levan, K. MicroRNA expression in human endometrial adenocarcinoma. Cancer Cell Int. 2014, 14, 88. [Google Scholar] [CrossRef]
  187. Zhang, Y.; Zhang, L.; Sun, H.; Lv, Q.; Qiu, C.; Che, X.; Liu, Z.; Jiang, J. Forkhead transcription factor 1 inhibits endometrial cancer cell proliferation via sterol regulatory element-binding protein 1. Oncol. Lett. 2017, 13, 731–737. [Google Scholar] [CrossRef] [Green Version]
  188. Wang, Y.; Zhang, L.; Che, X.; Li, W.; Liu, Z.; Jiang, J. Roles of SIRT1/FoxO1/SREBP-1 in the development of progestin resistance in endometrial cancer. Arch. Gynecol. Obstet. 2018, 298, 961–969. [Google Scholar] [CrossRef]
  189. Plaisance, V.; Abderrahmani, A.; Perret-Menoud, V.; Jacquemin, P.; Lemaigre, F.; Regazzi, R. MicroRNA-9 controls the expression of Granuphilin/Slp4 and the secretory response of insulin-producing cells. J. Biol. Chem. 2006, 281, 26932–26942. [Google Scholar] [CrossRef] [Green Version]
  190. Nowek, K.; Wiemer, E.A.C.; Jongen-Lavrencic, M. The versatile nature of miR-9/9* in human cancer. Oncotarget 2018, 9, 20838–20854. [Google Scholar] [CrossRef] [Green Version]
  191. Slusarz, A.; Pulakat, L. The two faces of miR-29. J. Cardiovasc. Med. 2015, 16, 480–490. [Google Scholar] [CrossRef]
  192. Yu-Han, H.; Kanke, M.; Kurtz, C.L.; Cubitt, R.; Bunaciu, R.P.; Miao, J.; Zhou, L.; Graham, J.L.; Hussain, M.M.; Havel, P.; et al. Acute suppression of insulin resistance-associated hepatic miR-29 in vivo improves glycemic control in adult mice. Physiol. Genom. 2019, 51, 379–389. [Google Scholar] [CrossRef]
  193. Kwon, J.J.; Factora, T.D.; Dey, S.; Kota, J. A systematic review of miR-29 in cancer. Mol. Ther. Oncolytics 2019, 12, 173–194. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  194. Jiang, H.; Zhang, G.; Wu, J.H.; Jiang, C.P. Diverse roles of miR-29 in cancer (Review). Oncol. Rep. 2014, 31, 1509–1516. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  195. Du, J.; Zhang, F.; Zhang, L.; Jia, Y.; Chen, H. MicroRNA-103 regulates the progression in endometrial carcinoma through ZO-1. Int. J. Immunopathol. Pharmacol. 2019, 33, 1–8. [Google Scholar] [CrossRef] [PubMed]
  196. Snowdon, J.; Zhang, X.; Childs, T.; Tron, V.A.; Feilotter, H. The microRNA-200 family is upregulated in endometrial carcinoma. PLoS ONE 2011, 6, e22828. [Google Scholar] [CrossRef] [PubMed]
  197. Belgardt, B.F.; Ahmed, K.; Spranger, M.; Latreille, M.; Denzler, R.; Kondratiuk, N.; Von Meyenn, F.; Villena, F.N.; Herrmanns, K.; Bosco, D.; et al. The microRNA-200 family regulates pancreatic beta cell survival in type 2 diabetes. Nat. Med. 2015, 21, 619–627. [Google Scholar] [CrossRef] [Green Version]
  198. Magenta, A.; Ciarapica, R.; Capogrossi, M.C. The emerging role of miR-200 family in cardiovascular diseases. Circ. Res. 2017, 120, 1399–1402. [Google Scholar] [CrossRef]
  199. Lu, J.; Zhang, X.; Zhang, R.; Ge, Q. MicroRNA heterogeneity in endometrial cancer cell lines revealed by deep sequencing. Oncol. Lett. 2015, 6, 3457–3465. [Google Scholar] [CrossRef] [Green Version]
  200. Panda, H.; Pelakh, L.; Chuang, T.D.; Luo, X.; Bukulmez, O.; Chegini, N. Endometrial miR-200c is altered during transformation into cancerous states and targets the expression of ZEBs, VEGFA, FLT1, IKKβ, KLF9, and FBLN5. Reprod. Sci. 2012, 19, 786–796. [Google Scholar] [CrossRef] [Green Version]
  201. Liu, Y.; El-Naggar, S.; Darling, D.S.; Higashi, Y.; Dean, D.C. Zeb1 links epithelial-mesenchymal transition and cellular senescence. Development 2008, 135, 579–588. [Google Scholar] [CrossRef] [Green Version]
  202. Wellner, U.; Schubert, J.; Burk, U.C.; Schmalhofer, O.; Zhu, F.; Sonntag, A.; Waldvogel, B.; Vannier, C.; Darling, D.; Zur Hausen, A.; et al. The EMT-activator ZEB1 promotes tumorigenicity by repressing stemness-inhibiting microRNAs. Nat. Cell Biol. 2009, 11, 1487–1495. [Google Scholar] [CrossRef] [PubMed]
  203. Tang, Y.; Shu, G.; Yuan, X.; Jing, N.; Song, J. FOXA2 functions as a suppressor of tumor metastasis by inhibition of epithelial-to-mesenchymal transition in human lung cancers. Cell Res. 2011, 21, 316–326. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  204. Bach, D.H.; Long, N.P.; Luu, T.T.T.; Anh, N.H.; Kwon, S.W.; Lee, S.K. The dominant role of forkhead box proteins in cancer. Int. J. Mol. Sci. 2018, 19, 3279. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  205. Ramón, L.A.; Braza-Boïls, A.; Gilabert, J.; Chirivella, M.; España, F.; Estellés, A.; Gilabert-Estellés, J. MicroRNAs related to angiogenesis are dysregulated in endometrioid endometrial cancer. Hum. Reprod. 2012, 27, 3036–3045. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  206. Meerson, A.; Traurig, M.; Ossowski, V.; Fleming, J.M.; Mullins, M.; Baier, L.J. Human adipose microRNA-221 is upregulated in obesity and affects fat metabolism downstream of leptin and TNF-α. Diabetologia 2013, 56, 1971–1979. [Google Scholar] [CrossRef] [Green Version]
  207. Abbas, A.; Imrie, H.; Viswambharan, H.; Sukumar, P.; Rajwani, A.; Cubbon, R.M.; Gage, M.; Smith, J.; Galloway, S.; Yuldeshava, N.; et al. The insulin-like growth factor-1 receptor is a negative regulator of nitric oxide bioavailability and insulin sensitivity in the endothelium. Diabetes 2011, 60, 2169–2178. [Google Scholar] [CrossRef] [Green Version]
  208. Jasinski-Bergner, S.; Kielstein, H. Adipokines regulate the expression of tumor-relevant microRNAs. Obes. Facts 2019, 12, 211–225. [Google Scholar] [CrossRef]
  209. Thomou, T.; Mori, M.A.; Dreyfuss, J.M.; Konishi, M.; Sakaguchi, M.; Wolfrum, C.; Rao, T.N.; Winnay, J.N.; Garcia-Martin, R.; Grinspoon, S.K.; et al. Adipose-derived circulating miRNAs regulate gene expression in other tissues. Nature 2017, 542, 450–455. [Google Scholar] [CrossRef]
  210. Withers, S.B.; Dewhurst, T.; Hammond, C.; Topham, C.H. MiRNAs as novel adipokines: Obesity-related circulating MiRNAs influence chemosensitivity in cancer patients. Non-Coding RNA 2020, 6, 5. [Google Scholar] [CrossRef] [Green Version]
  211. Ge, Q.; Brichard, S.; Yi, X.; Li, Q. MicroRNAs as a new mechanism regulating adipose tissue inflammation in obesity and as a novel therapeutic strategy in the metabolic syndrome. J. Immunol. Res. 2014, 2014, 987285. [Google Scholar] [CrossRef] [Green Version]
  212. Valadi, H.; Ekström, K.; Bossios, A.; Sjöstrand, M.; Lee, J.J.; Lötvall, J.O. Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat. Cell Biol. 2007, 9, 654–659. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  213. Constantine, G.D.; Kessler, G.; Graham, S.; Goldstein, S.R. Increased incidence of endometrial cancer following the women’s health initiative: An assessment of risk factors. J. Women’s Health 2019, 28, 237–243. [Google Scholar] [CrossRef] [PubMed]
  214. Hernandez, A.V.; Pasupuleti, V.; Benites-Zapata, V.A.; Thota, P.; Deshpande, A.; Perez-Lopez, F.R. Insulin resistance and endometrial cancer risk: A systematic review and meta-analysis. Eur. J. Cancer 2015, 51, 2747–2758. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. A proposed multidimensional model of endometrial cancer development, which suggests insulin resistance, inflammation, and overweight/obesity as driving forces behind cancer. IGFs, insulin-like growth factors; IGFBPs, insulin-like growth factor binding proteins; IL-1Ra, interleukin 1 receptor antagonist; IL-6, interleukin 6; INSR, insulin receptor; SHBG, sex hormone-binding globulin; TNF-alpha, tumor necrosis factor-alpha. Compiled from References [35,43,44,45,46,47].
Figure 1. A proposed multidimensional model of endometrial cancer development, which suggests insulin resistance, inflammation, and overweight/obesity as driving forces behind cancer. IGFs, insulin-like growth factors; IGFBPs, insulin-like growth factor binding proteins; IL-1Ra, interleukin 1 receptor antagonist; IL-6, interleukin 6; INSR, insulin receptor; SHBG, sex hormone-binding globulin; TNF-alpha, tumor necrosis factor-alpha. Compiled from References [35,43,44,45,46,47].
Cancers 12 02559 g001
Table 1. Conventional comparison between type I and type II endometrial cancer [8,9,10,11,12].
Table 1. Conventional comparison between type I and type II endometrial cancer [8,9,10,11,12].
Characteristic FeatureType IType II
Frequency~80% of casesUp to 20% of cases
Estrogenic statusEstrogen-dependentEstrogen-independent
HistologyMostly endometrioid adenocarcinomasNon-endometrioid carcinoma
Precursor lesionAtypical hyperplasiaEndometrial intraepithelial carcinoma
GrowthSlow growthRapid growth
Risk factorsImbalance between estrogen and progesterone exposures (such as the use of unopposed estrogen therapy)Early age at menarche, low parity, tobacco smoking
ObesityOften presentOften absent
Type 2 diabetes mellitusOften presentOften absent
Estrogen and progesterone receptorsUsually ER (+), PR (+)Usually ER (−), PR (−)
PrognosisUsually good prognosisPoor prognosis
PTEN MutationsYesNo
P53 OverexpressionNoYes
Other Frequent MutationsARID1A
PIK3CA
CTNNB1
FGFR2
PPP2R1A
FBXW7
HER2
ARID1A: AT-Rich Interaction Domain 1A; CTNNB1: Catenin Beta 1; ER: Estrogen Receptor; FBXW7: F-Box and WD Repeat Domain-containing 7; FGFR2: Fibroblast Growth Factor Receptor 2; HER2: Human Epidermal Growth Factor Receptor 2; PIK3CA: Phosphatidylinositol-4,5-Bisphosphate 3-Kinase Catalytic Subunit Alpha; PPP2R1A: Protein Phosphatase 2 Scaffold Subunit A alpha; PR: Progesterone Receptor; PTEN: Phosphatase and tensin homolog deleted on chromosome 10; P53: Protein 53.
Table 2. MicroRNAs (miRNAs) found as dysregulated in endometrial cancer (EC).
Table 2. MicroRNAs (miRNAs) found as dysregulated in endometrial cancer (EC).
miRNAForm of DysregulationStudied SpecimenReference SpecimenReference
hsa-miR-1307-3p; hsa-miR-183-3p; hsa-miR-183-5p; hsa-miR-200b-3p; hsa-miR-429upECNormal endometrium[141]
hsa-miR-152-3p; hsa-miR-24-1-5p; hsa-miR-374b-5p; hsa-miR-542-3pdownECNormal endometrium[141]
miR-650; miR-168; miR-572; miR-200a; miR-182; miR-622; miR-34a; miR-205upEndometrioid ECBenign endometrium[142]
miR-411; miR-487bdownEndometrioid ECBenign endometrium[142]
let-7c-5p; miR-125b-5p; miR-23b-3p; miR-99a-5pdownEndometrioid ECNon-neoplastic endometrium[143]
let-7g-5p; miR-195-5p; miR-34a-5p; miR-497-5pdownEndometrioid EC (grade 1+2) and serous ECNon-neoplastic endometrium[143]
miR-205; miR-182; miR-325; miR-183; miR-203; miR-210; miR-223; miR-194; miR-95; miR-151; miR-200a; miR-301; miR-141; miR-215; miR-103; miR-106a; miR-191; miR-184; miR-326; miR-34a; miR-200c; miR-23aupEndometrioid ECNormal endometrium[144]
miR-1; miR-101; miR-10b*; miR-127–3p; miR-132*; miR-133a; miR-133b; miR-136; miR-136*; miR-139-5p; miR-140-3p; miR-140-5p; miR-142-3p; miR-142-5p; miR-143; miR-143*; miR-145; miR-145*; miR-152; miR-195; miR-196b; miR-199a-5p; miR-199b-3p; miR-199b-5p; miR-214; miR-214*; miR-23b; miR-24-1*; miR-27b; miR-299-3p; miR-299-5p; miR-29b; miR-33a; miR-337-5p; miR-34b; miR-34b*; miR-34c-5p; miR-376a; miR-376c; miR-377; miR-379; miR-381; miR-410; miR-411; miR-424; miR-450a; miR-455-3p; miR-455-5p; miR-497; miR-503; miR-542-3p; miR-542-5p; miR-654-3p; miR-873downSerous EC Normal endometrium[145]
miR-222; miR-223; miR-186; miR-204upSerum of endometrioid EC patientsSerum of healthy controls[146]
miR-186; miR-222; miR-223upSerum of EC patientsSerum of healthy controls[147]
miR-204downSerum of EC patientsSerum of healthy controls[147]
let-7g*; miR-181c*; miR-516a-3p; miR-9; miR-203; miR-375; miR-652; miR-146a; miR-9*; miR-210; miR-32; miR-148a; miR-425; miR-592; miR-21; miR-7-1*; miR-107upEndometrioid ECNormal endometrium[148]
miR-502-3p; miR-130a; miR-214; miR-218; miR-99a; miR-410; miR-100; miR-199a-3p; miR-424; miR-199a-5p; miR-214*; miR-99a*; let-7c; miR-212, miR-130a*; miR-495; miR-100*; miR-125b*; miR-218-2*; miR-502-5p; miR-532-5pdownEndometrioid ECNormal endometrium[148]
miR-31; miR-995-5p; miR-490-3p; miR-644; miR-522; miR-519d; miR-98; miR-425; miR-518e; miR-155upSerous ECNormal endometrium[148]
miR-370; miR-423-5pdownSerous ECNormal endometrium[148]
miR-516; let-7a; miR-424; miR-496; miR-409; miR-451; miR-431; miR-516; miR-503; miR-369; miR-032; miR-032b; miR-425; miR-181c; miR-19b; miR-009; miR-205; miR-423; miR-223; miR-183; miR-146; miR-200cupEndometrioid ECNormal endometrium[149]
Nomenclature was given as provided by cited references. EC: endometrial cancer. *: the less expressed strand.
Table 3. miRNAs found as dysregulated in both insulin resistance (IR) and EC.
Table 3. miRNAs found as dysregulated in both insulin resistance (IR) and EC.
miRNAForm of DysregulationTarget Genes Involved in IRTarget Genes Involved in ECReference
let-7downIGF1R, IGF2BP-2, INSR, IRS-1, IRS-2HMGA2, c-myc, JAK, Aurora B kinase, STAT3[152,153,154]
miR-9upOC-2, SIRT1FOXO1[155,156]
miR-29aupPPARδTPX2[157,158]
miR-29bupCAV2, INSIG1, PIK3R1PTEN[159,160,161]
miR-29cdownHK2, GLUT1, IRS-1COL4A1[162,163]
miR-103upCAV1TIMP-3[164,165]
miR-107upCAV1ERα[165,166]
miR-126downIRS-1IRS-1[167,168]
miR-141upFOXA2PLA2R[169,170]
miR-200upZEB1PTEN[171,172]
miR-221upSIRT1SLUG[173,174]
miR-222upIRS-1ERα[175,176]
miR-320aupPI3Kp85IGR1R[177,178]
CAV1, caveolin-1; CAV2, caveolin-2; ERα, estrogen receptor alpha; FOXA2, forkhead box A2; FOXO1, forkhead transcription factor 1; GLUT1, glucose transporter 1; HK2, hexokinase 2; HMGA2, high mobility group AT-hook 2; IGFBP-2, insulin-like growth factor binding protein 2; IGF1R, insulin-like growth factor receptor; INSIG1, Insulin-Induced Gene 1; INSR, insulin receptor; IRS-1, Insulin receptor substrate 1; IRS-2, Insulin receptor substrate 2; JAK, Janus protein tyrosine kinase; OC-2, Transcription Factor Onecut-2; PI3Kp85, phosphoinositide 3-kinase regulatory subunit p85; PIK3R1, phosphatidylinositol 3-kinase regulatory subunit; PLA2R, phospholipase A2 receptor; PTEN, phosphatase and tensin homolog deleted on chromosome 10; SIRT1, Sirtuin 1; SLUG, Zinc Finger Protein SNAI2 (Snail Family Transcriptional Repressor 2); STAT3, signal transducer and activator of transcription 3; TIMP-3, tissue inhibitor of metalloproteinase 3; ZEB1, zinc finger E-box-binding homeobox 1.

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Sidorkiewicz, I.; Jóźwik, M.; Niemira, M.; Krętowski, A. Insulin Resistance and Endometrial Cancer: Emerging Role for microRNA. Cancers 2020, 12, 2559. https://doi.org/10.3390/cancers12092559

AMA Style

Sidorkiewicz I, Jóźwik M, Niemira M, Krętowski A. Insulin Resistance and Endometrial Cancer: Emerging Role for microRNA. Cancers. 2020; 12(9):2559. https://doi.org/10.3390/cancers12092559

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Sidorkiewicz, Iwona, Maciej Jóźwik, Magdalena Niemira, and Adam Krętowski. 2020. "Insulin Resistance and Endometrial Cancer: Emerging Role for microRNA" Cancers 12, no. 9: 2559. https://doi.org/10.3390/cancers12092559

APA Style

Sidorkiewicz, I., Jóźwik, M., Niemira, M., & Krętowski, A. (2020). Insulin Resistance and Endometrial Cancer: Emerging Role for microRNA. Cancers, 12(9), 2559. https://doi.org/10.3390/cancers12092559

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