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. 2019 Apr 18;12(2):211–225. doi: 10.1159/000496625

Adipokines Regulate the Expression of Tumor-Relevant MicroRNAs

Simon Jasinski-Bergner 1,*, Heike Kielstein 1
PMCID: PMC6547259  PMID: 30999294

Abstract

Background

Increasing prevalence of obesity requires the investigation of respective comorbidities, including tumor diseases like colorectal, renal, post-menopausal breast, prostate cancer, and leukemia. To date, molecular mechanisms of the malignant transformation of these peripheral tissues induced by obesity remain unclear. Adipose tissue secretes factors with hormone-like functions, the adipokines, and is therefore categorized as an endocrine organ. Current research demonstrates the ability of adipose tissue to alter DNA methylation and gene expression in peripheral tissues, probably affecting microRNA (miR) expression.

Methods

Literature was analyzed for adipokine-regulated miRs. Many of these adipokine upregulated or downregulated miRs exert either oncogenic or anti-tumoral potential.

Results

The three selected and analyzed adipokines, adiponectin, leptin, and resistin, induce more strongly oncogenic miRs and simultaneously reduce anti-tumoral miRs than vice versa. This effect is not only true for the pure number of regulated miRs, it is also the case by consideration of the abundance of the respective miR expression based on actual data sets derived from next-generation sequencing.

Conclusion

The link of obesity and cancer is analyzed under the aspect of adipokine-regulated miRs. At the same time the impact of miR abundance is considered as a regulatory variable. This context offers new strategies for tumor therapy and diagnostics.

Keywords: Obesity, MicroRNA, Cancer, Adipokines

Introduction

The increase of obesity (body mass index, BMI ≥30) and overweight (BMI ≥25) in the world population justifies the analysis of associated health issues [1]. The pure weight of the fat mass per se damages joints and increases the risk for an artificial hip and knee joint implantation [2, 3]. Obesity-associated lack of exercise and systemic metabolic dysfunctions promote inter alia type 2 diabetes, fatty liver disease, atherosclerosis, and cardiovascular disorders, and also contribute to a significantly reduced life expectancy [4, 5].

Interestingly, adipose tissue not only responds to hormonal signals, it also expresses and secretes factors with hormone-like functions, so-called adipokines, and is therefore categorized as an endocrine organ [6]. Meanwhile, a connection between obesity and certain tumor diseases, including colorectal cancer, renal cancer, post-menopausal breast cancer, esophageal adenocarcinoma, thyroid cancer, endometrial cancer, leukemia, and prostate cancer is demonstrated in numerous cohort studies [7, 8, 9]. Furthermore, with an increase of BMI of 5, a 10% increase in cancer mortality has been detected in both genders [10, 11].

Various immune cell functions are influenced by obesity. In particular, some of the approximately 600 proteins secreted by adipose tissues [9] exert anti-inflammatory or pro-inflammatory potential. Especially adiponectin, which is the most abundant adipokine secreted by adipocytes [7], exerts anti-inflammatory action by interfering with the functions of macrophages, T lymphocytes, and NK cells [12, 13, 14, 15]. Furthermore, the well-characterized adipokine leptin also exerts immunomodulatory functions on NK cells [16].

The detailed molecular mechanisms, which contribute to the immunomodulatory potential of adipose tissue, is the subject of ongoing research. It is a fact that adipose tissue is able to regulate the gene expression in other peripheral tissues of the organism. The gene expression per se can be regulated at different points – pretranscriptional and posttranscriptional, for example by altering the DNA methylation as a potential pretranscriptional regulatory control variable. Indeed, the gene expression patterns differ in human monozygotic twins with different BMIs [17]. Research has verified that obesity is associated with widespread changes in DNA methylation as a consequence of adiposity and not as a cause of it [18]. This important study could at least identify 187 gene loci, which were statistically significant and could be replicated differentially methylated at CpG sites. These gene loci belong to genes mostly involved in lipid and lipoprotein metabolism, substrate transport, and inflammatory pathways [18].

Many of these obesity-regulated genes contain intronic sequences harboring microRNA (miR) genes. Therefore, obesity also affects post-transcriptional gene regulation involving an altered miR transcriptome. MiRs are small, non-coding RNA molecules of about 21 nt in length. The miR genes are usually located within introns of coding genes or as separated genes. In both cases, the miR genes are transcribed by RNA polymerase II and the resulting primary miR transcripts are further processed into mature miRs [19, 20, 21, 22]. The sequence-specific binding of an miR to a target mRNA is determined by its “seed” region. miR binding to target mRNAs predominantly occurs at the 3′-untranslated region leading to translational inhibition and to mRNA decay [23]. Concerning the target specificity of miRs, it is noteworthy that one miR can regulate many different mRNAs [24]. Depending on the functions of these miR-regulated genes, several miRs can exert oncogenic or anti-tumoral potential [19].

This review analyzes and summarizes available PubMed database-listed literature of adipokine-regulated miRs and their functions regarding the association between obesity and tumor diseases. Focus was placed on the three well-characterized adipokines directly expressed by adipocytes: adiponectin, leptin, and resistin. The summarized adipokine-regulated miRs include human and murine datasets.

Adipokines and Their Impact on miR Expression

The adipose tissue interacts with the entire organism by secretion of hormone-like adipokines. Indeed, multiple factors are released or secreted by adipose tissue consisting of adipocytes, infiltrating immune cells, fibroblasts, endothelial cells, and others [25]. In 2004, Fain et al. [26] analyzed and compared the secretion of adipokines between isolated adipocytes and corresponding visceral adipose tissue. Many factors, including IL-6 and TNF-α, were expressed much higher by the adipose tissue than by adipocytes themselves. Other factors, like adiponectin and leptin, were almost equally expressed, reflecting that adiponectin and leptin are directly expressed by adipocytes. Furthermore, the adipokine resistin is also reported to be directly secreted by adipocytes [27].

These adipokines exert an impact on the gene expression in other peripheral tissues causing inter alia an altered miR expression pattern. Furthermore, many of these adipokine-regulated miRs have been characterized for their relevance on tumor biological functions, including proliferation, invasion, apoptosis inducibility, and angiogenesis. Subsequently, some of these adipokine-regulated miRs can be characterized as oncogenic or anti-tumoral miRs.

Nevertheless, next to the pure number of different adipokine-regulated miRs, also the abundance of each adipokine-regulated miR per se is an important variable, since it is known that cellular concentrations of miRs are critical for their regulatory potential [28]. For example, a duplication of the expression of a very high abundant miR upon adipokine stimulation could affect the translation of its target mRNAs in a stronger manner than the duplication of the expression of a very low abundant miR in regard to the absolute number of target mRNA molecules.

Meanwhile next-generation sequencing (NGS) is the state-of-the-art technology for miR analysis [29] and absolute NGS reads of miRs correlate with qPCR-based quantifications of these miRs. The absolute counts determined by NGS can be normalized into reads per million (rpm) using the formula: rpm = reads (miR)/(reads [all mapped reads] × 106) [30, 31]. Thus, in this review the rpm value of each adipokine-regulated miR was collected from the free online data base www.mirbase.org [32, 33]. For a better estimation of possible biological impacts of adipokine-regulated miRs with oncogenic or anti-tumoral functions, the respective rpms for adiponectin, leptin, and resistin stimulation were calculated and compared. At this point the human miR expression data and the human homologous miR expression data in the case of published murine miRs were applied and combined. The investigated three adipokines will be discussed separately and the respective regulated miRs, so far reported, are summarized.

The Role of Adiponectin

The gene of adiponectin is located on the long arm of chromosome 3 (3q27) and the protein has a molecular weight of about 30 kDa. In cells and in plasma, adiponectin protein forms homomultimers, trimers (LMW; approx. 67 kDa), hexamers (MMW; approx. 136 kDa), and high-molecular-weight (HMW; >300 kDa) multimers [34]. Adiponectin is also the most abundant adipokine within the human body [7]. The different adiponectin multimers exert different biological functions by binding to various adiponectin receptors. The adiponectin trimer binds to the adiponectin receptor 1 (AdipoR1), the adiponectin hexamer binds to the adiponectin receptor 2 (AdipoR2) and the adiponectin hexamers as well as the high-molecular-weight multimers, but not the adiponectin trimers that act as ligands for T-cadherin (CDH13) [35, 36]. Interestingly, these different adiponectin multimers do not interconvert during circulation [37].

The biological functions of adiponectin are pleiotropic and range from its role in energy homeostasis from anti-inflammatory and anti-apoptotic to pro-angiogenic activities [38, 39, 40]. Adiponectin reduces the phagocytotic activity of macrophages and inhibits the proliferation of myelomonocytic progenitor cells [12]. In primary human monocytes, in monocyte-derived macrophages, and in dendritic cells, adiponectin induces the secretion of the anti-inflammatory cytokines IL-10 and IL-1RA [41]. In addition, adiponectin extends its anti-inflammatory potential also by suppression of the IL-2-mediated activation of NK cells and T cells [15, 42].

Meanwhile, many pro-inflammatory adipokines have been described in the literature. However, only a few of the adipokines exert anti-inflammatory potential; among these are adiponectin, adipolin, and omentin [43]. Due to the fact that obesity is described as chronic low-grade inflammation, such anti-inflammatory adipokines are usually downregulated in obesity [43, 44]. This critical point will be discussed in more detail below.

Differential Adiponectin Expression in Hyperplasia and Hypertrophy as Two Different Patterns of Adipose Tissue

Two different patterns of obese tissue emerge regarding the cellular characteristics. A hyperplastic pattern with increased adipocyte cell number and a hypertrophic one with increased cell size and unchanged number of adipocytes [45]. The occurrence of hyperplasia or hypertrophy is independent of sex and body weight [46], but strongly relates to the total adipocyte number in adults [46]. Interestingly, in most studies investigating adiponectin expression and obesity this aspect is not considered.

The secretion of total adiponectin is higher in subcutaneous adipose tissue when compared to visceral adipose tissue. Indeed, adipocyte size is larger in subcutaneous adipose tissue. Additionally, adipocyte size is negatively correlated to adiponectin expression and secretion [47]. These important results could explain why adiponectin serum levels decrease with increasing BMI in certain individuals, while every adipocyte per se expresses adiponectin. This observed contradictory effect of decreased adiponectin levels with increased BMI is of course not statistically significant in all published studies, because this effect is obviously linked to the pattern of adipose tissue (hyperplasia or hypertrophy) as an individual parameter for each tested patient. That parameter is not considered in almost all studies, potentially leading to such contradictory results.

Furthermore, a significant sex difference in adiponectin expression is also reported. Women exert a higher percentage of body fat and higher adiponectin levels when compared to men of the same BMI [48]. Black women have significantly lower adiponectin levels than white subjects and show no clear decreasing trend with increasing severity of obesity [49]. Therefore, this review also focusses on adiponectin and its impact on miR expression in the dependency of obesity.

Adiponectin Strongly Increases Tumoral miRs and Downregulates Anti-Tumoral miRs

All so far identified adiponectin-regulated miRs are summarized and divided into miRs that are either induced or reduced in their expression upon adiponectin stimulation in Table 1. In the case of available information about tumor biology-relevant parameters, including proliferation, invasion, apoptosis inducibility, and angiogenesis, these adiponectin-regulated miRs were either grouped as oncogenic or as anti-tumoral. In Table 2 the adiponectin-induced miRs and in Table 3 the adiponectin downregulated miRs are listed and characterized. So far, 6 miRs have been described as induced and 3 miRs are reported to be reduced upon adiponectin stimulation. To estimate whether adiponectin stimulation alters the miR expression pattern into an oncogenic or anti-tumoral fashion, the adiponectin-regulated miRs were divided into “induced oncogenic miRs and reduced anti-tumoral miRs” as a first group, and into “reduced oncogenic miRs and induced anti-tumoral miRs” as a second group.

Table 1.

Summary of adipokine-regulated miRs

Adipokine miR induced Originating tissue Ref. miR reduced Originating tissue Ref.
Adiponectin miR-883b-5p Murine adipose tissue 50 miR-27b Human chondrosarcoma cells 51
miR-1934 Murine adipose tissue 50 miR-532-5p Murine adipose tissue 50
miR-133a Neonatal rat ventricular myocytes 52 miR-1983 Murine adipose tissue 50
miR-378 Human adipocytes 53
miR-155 Murine RAW 264.7 cells 54
miR-21 Murine RAW 264.7 cells 55
 
Leptin miR-21 Human mature adipocytes, transgenic mice 56, 57 miR-27b Human chondrosarcoma cells 58
miR-4443 Human colon cancer cells 59 miR-93 Human osteoblasts 60
miR-199a-3p Human adipocytes 61 miR-1908 Human adipocytes 62
miR-378 Human adipocytes, human adipocytes 53, 63 miR-143 Human adipocytes 64
miR-335 Human adipocytes 65 miR-221 Human subcutaneous abdominal adipose tissue biopsies 66
miR-182 Human ovary carcinoma cell lines (SKOV3 and A2780) 67 miR-26b Human adipocytes 68
miR-96 Human ovary carcinoma cell
lines (SKOV3 and A2780)
67 miR-489 Murine skeletal muscle 69
miR-31 Murine skeletal muscle 69 miR-103 Murine skeletal muscle 69
miR-223 Murine skeletal muscle 69 miR-101b Murine skeletal muscle 69
miR-491 Murine skeletal muscle 69 miR-let 7g Murine skeletal muscle 69
miR-142 Murine skeletal muscle 69 miR-155 Murine skeletal muscle 69
miR-685 Murine skeletal muscle 69
 
Resistin miR-21 Human mature adipocytes 56 miR-1908 Human adipocytes 62
miR-335 Human adipocytes 65 miR-143 Human adipocytes 64
miR-34a Human liver cell line (Hep G2) 70 miR-26b Human adipocytes 68
miR-696 Murine muscle cell line (C2C12) 71 miR-206 Human endothelial progenitor 72
cells
miR-145 Human liver cell line (Hep G2) 73 miR-519d Human chondrosarcoma cells 74

Table 2.

Induced miRs upon adiponectin, leptin, or resistin stimulation and their tumor biological impact

miR Induced by adipokine Proliferation Invasion Apoptosis inducibility Angiogenesis Ongogenic or anti-tumoral potential
miR-133a Adiponectin Down Down Up n.d. Anti-tumoral
miR-142 Leptin Down Down Up Up Anti-tumoral
miR-145 Resistin Down Down Up Down Anti-tumoral
miR-223 Leptin Down Down Up Down Anti-tumoral
miR-34a Resistin Down Down Up Down Anti-tumoral
miR-378 Adiponectin, leptin Down Down Up Down Anti-tumoral
miR-491 Leptin Down Down Up Up Anti-tumoral
miR-155 Adiponectin Up Up Down Up Oncogenic
miR-182 Leptin Up Up Down Up Oncogenic
miR-21 Adiponectin, leptin, resistin Up Up Down Up Oncogenic
miR-31 Leptin Up Up Down Up Oncogenic
miR-96 Leptin Up Up Down n.d. Oncogenic
miR-1934 Adiponectin n.d. n.d. n.d. n.d. n.d.
miR-685 Leptin n.d. n.d. n.d. n.d. n.d.
miR-696 Resistin Up n.d. n.d. n.d. n.d.
miR-883b-5p Adiponectin n.d. n.d. n.d. n.d. n.d.
miR-199a-3p Leptin Controversially discussed
miR-4443 Leptin Controversially discussed
miR-335 Leptin, resistin Controversially discussed

Table 3.

Reduced miRs upon adiponectin, leptin, or resistin stimulation and their tumor biological impact

miR Reduced by adipokine Proliferation Invasion Apoptosis inducibility Angiogenesis Ongogenic or anti-tumoral potential
miR-143 Leptin, resistin Down Down Up Down Anti-tumoral
miR-206 Resistin Down Down Up Down Anti-tumoral
miR-26b Leptin, resistin Down Down Up Down Anti-tumoral
miR-27b Adiponectin, leptin Down Down Up Up Anti-tumoral
miR-489 Leptin Down Down Up Down Anti-tumoral
miR-519d Resistin Down Down Up Down Anti-tumoral
miR-532-5p Adiponectin Down Down Up n.d. Anti-tumoral
miR-let 7g Leptin Down n.d. Up n.d. Anti-tumoral
miR-155 Leptin Up Up Down Up Oncogenic
miR-221 Leptin Up Up Down Up Oncogenic
miR-101b Leptin n.d. n.d. n.d. n.d. n.d.
miR-1983 Adiponectin n.d. n.d. n.d. n.d. n.d.
miR-103 Leptin Controversially discussed
miR-93 Leptin Controversially discussed
miR-1908 Leptin, resistin Controversially discussed

As previously discussed, the abundance of each miR is an important regulatory variable. Therefore, the rpm values reported at the free online database www.mirbase.org [32, 33] for each oncogenic and anti-tumoral miR are listed in Table 4, and a respective total amount for both adiponectin-regulated miR groups was calculated (Table 4; Fig. 1).

Table 4.

Consideration of the expression levels of “induced oncogenic miRs and reduced anti-tumoral miRs” compared to “reduced oncogenic miRs and induced anti-tumoral miRs” upon stimulation with adiponectin, leptin, or resistin

Adipokine Induced oncogenic miR and reduced anti-tumoral miR, rpm Reduced oncogenic miR and induced anti-tumoral miR, rpm
Adiponectin 2.56e+04 (miR-21),
2.94e+03 (miR-155),
1.02e+04 (miR-27b),
2.28e+03 (miR-532) =41,020
7.03e+03 (miR-378),
2.05e+03 (miR-133a) = <bold> 9,080 </bold>
 
Leptin 2.56e+04 (miR-21),
1.58e+03 (miR-182),
685 (miR-96),
3.89e+03 (miR-31),
1.02e+04 (miR-27b),
2.47e+04 (miR-143),
5.2e+03 (miR-26b),
72.4 (miR-489),
9e+03 (let 7g) = <bold> 80,927.4 </bold>
8.06e+03 (miR-221),
2.94e+03 (miR-155),
7.03e+03 (miR-378),
5.81e+03 (miR-223),
60.6 (miR-491),
1.3e+04 (miR-142) =36,900.6
 
Resistin 2.56e+04 (miR-21),
2.47e+04 (miR-143),
5.2e+03 (miR-26b),
1.86e+03 (miR-206),
199 (miR-519d) =57,559
1.13e+03 (miR-34a),
2.39e+04 (miR-145) =25,030
Adiponectin, leptin, resistin (every miR just 1-fold) = 98,406.4 = 63,980.6

Instead of the murine miRs, the human homologous miR expression data were applied.

Fig. 1.

Fig. 1

Impact of adipokines on tumor-associated miRs. The results presented in Table 4 are visualized as a bar diagram. Under consideration of the expression level in rpm, the group of “induced oncogenic miR and reduced anti-tumoral miR” contains much more dysregulated tumor-relevant miRs than the group of “reduced oncogenic miR and induced anti-tumoral miR.” This effect was observed for adiponectin, leptin, and resistin.

Interestingly, adiponectin stimulation is shifting the miR transcriptome towards an oncogenic direction. The absolute number of induced oncogenic miRs and reduced anti-tumoral miRs is about 4 times higher than the absolute number of reduced oncogenic miRs and induced anti-tumoral miRs (Table 4; Fig. 1).

The Role of Leptin

The adipocyte-derived leptin protein has a molecular weight of 16 kDa and is encoded on the long arm of chromosome 7 (7q32.1). Leptin is secreted into the bloodstream and involved in the regulation of the energy and physiological body weight homeostasis [75]. Leptin secretion is higher in subcutaneous fat cells which are also of bigger size than visceral fat cells, and its amount is correlated to the size and number of adipocytes [76]. Thus, leptin expression correlates to obesity. Leptin-deficient mice (ob/ob mice) or mice lacking the functional leptin receptor (db/db mice) suffer morbid obesity and type 2 diabetes [77, 78]. These ob/ob mice are sensitive to a leptin treatment, responding by fat mass reduction and regaining normal body weights. Furthermore, leptin treatment also lowers food intake and increases metabolic rates in lean mice [79].

The leptin receptor (LEPR) mRNA underlays alternative splicing, which leads to the generation of six LEPR isoforms (LEPRa, b, c, d, e, and f). All of these isoforms are able to bind leptin as ligand. Nevertheless, these different splicing variants differ in the intracellular domain affecting appropriate downstream signaling. Actually, the isoform LEPRb is the only isoform mediating functional leptin downstream signaling [80]. The functions of the other LEPR isoforms are still under investigation.

LEPRe encodes for a soluble protein due to the missing transmembrane domain. Furthermore, LEPRe is analogical to secreted leptin circulating in the bloodstream [81]. Especially in this case, it is indicated that the downstream signaling-incompetent leptin receptors compete for leptin binding as a kind of negative regulator [82].

Leptin stimulation is reported to act in a pro-inflammatory way by the induction of certain cytokines, like TNFα, IL-1, and IL-6 [83, 84]. Nevertheless, there also exist studies reporting impaired NK cell functions and proliferation upon long-term leptin stimulation [16].

Leptin Increases Tumoral miRs and Downregulates Anti-Tumoral miRs

Twelve miRs have been reported to be upregulated, and 11 miRs have been reported to be downregulated upon leptin stimulation (Table 1). The characterization of these leptin-regulated miRs in regard to their impact on tumor biology leads to 4 induced oncogenic miRs and 5 reduced anti-tumoral miRs. On the other hand, 4 anti-tumoral miRs were induced and 2 oncogenic miRs were reduced (Table 2, 3). By addressing the respective abundance of these regulated miRs, the group of “induced oncogenic miRs and reduced anti-tumoral miRs” was about two times higher than the group of “reduced oncogenic miRs and induced anti-tumoral miRs” upon leptin stimulation (Table 4; Fig. 1).

Resistin

The resistin gene is located at the short arm of chromosome 19 (19p13). Human resistin is a 10-kDa cysteine-rich polypeptide. Resistin is synthesized as a 108-amino acid (aa) precursor containing an 18-aa signal sequence and a 90-aa mature region. It is predominantly secreted by adipocytes, whereby the resistin expression is higher in murine adipocytes as compared to human ones for so far unknown reasons [85, 86, 87]. The secreted resistin circulates either as homotrimers, homohexamers, or even as higher molecular weight oligomers [88, 89, 90]. In addition to that, Lee et al. [91] reported that the applied purified recombinant resistin protein forms a multimeric quaternary structure at 55 kDa. Adenylyl cyclase-associated protein 1 (CAP1) has been identified as a receptor for human resistin.

In humans, conflicting results regarding the resistin secretion and obesity are reported, which might be contributed to by the fact that the respective studies did not distinguish between hyperplasia or hypertrophy of adipose tissue as two different mechanisms for increasing fat mass in obese humans. This point is not a factor in studies investigating obesity only in a single monogenetic mouse strain.

Furthermore, human resistin stimulates the secretion of pro-inflammatory cytokines and chemokines, including TNF-α and IL-12 [92, 93]. Resistin is also involved in mediating insulin resistance and type 2 diabetes mellitus in obese humans [94].

Resistin Also Induces Tumoral miRs and Reduces Anti-Tumoral miRs

Until now, 10 different miRs have been reported to be affected in their expression level upon resistin stimulation. Among them, 5 miRs are upregulated and 5 miRs are downregulated (Table 1). One of these regulated miRs exerts oncogenic functions, whereas 6 exert anti-tumoral functions. The other miRs were either not yet investigated or controversially discussed in the literature. Interestingly, resistin induces the oncogenic miRs and reduces four anti-tumoral miRs (Table 2, 3).

Opposing that, only two anti-tumoral miRs are induced and no oncogenic miRs are decreased by resistin. The resistin-regulated group of “induced oncogenic miRs and reduced anti-tumoral miRs” is two times higher expressed than the group of “induced anti-tumoral miRs and reduced oncogenic miRs” (Table 4; Fig. 1).

Conclusion

Obesity is linked to certain tumor diseases, including colorectal cancer, renal cancer, post-menopausal breast cancer, leukemia, and prostate cancer [7, 8]. However, the connection between adipose tissue and malignant transformation in peripheral tissues is still under investigation. The authors hypothesized in this review that in addition to already known carcinogenic factors like mutations, pathogens, external stimuli, etc., also hormone-like factors secreted by the adipose tissue itself are a putative factor involved in that malignant transformation by disrupting the balance of anti-tumoral and oncogenic miRs. This hypothesis is summarized in Figure 2.

Fig. 2.

Fig. 2

Schematic summary of the hypothesized molecular link between obesity and certain tumor diseases. In dependency of the individual composition of adipose tissue (hyperplasia or hypertrophy) obese individuals exert an altered secretion of the adipokines adiponectin, leptin, and resistin when compared to normal-weight individuals. As a con­sequence, the expression of tumor­associated miRs in peripheral tissues is out of balance with induced oncogenic miRs and reduced anti-tumoral miRs, probably enhancing the prevalence of malignant transformation.

In various studies the expression of adiponectin, leptin, and resistin was analyzed for a potential correlation to the risk of development and/or grading and staging of certain tumor diseases. Unfortunately, the results of these numerous studies are partially controversial (Table 5). Nevertheless, in the case of post-menopausal breast cancer, different investigators could demonstrate that increased leptin and resistin levels were statistically significantly associated with enhanced tumor risk.

Table 5.

Summary of adiponectin, leptin, and resistin expression analyses in selected obesity-linked tumor diseases

Tumor disease Adiponectin Leptin Resistin
Colorectal cancer Controversial Controversial Controversial
 
Renal cancer Controversial No effect No effect
 
Post-menopausal breast cancer Increased adiponectin levels associated with lowered tumor risk Increased leptin levels are statistically significantly associated with enhanced tumor risk Increased resistin levels are statistically significantly associated with enhanced tumor risk
 
Prostate cancer Statistically significant decreased adiponectin levels in tumor patients Controversial No effect

Adiposity influences gene expression, for example by altering the DNA methylation pattern [18], an important mechanism, which affects inter alia also the miR transcriptome. One of the adipokine-regulated miRs that was induced upon stimulation of adiponectin, leptin, and resistin is miR-21. Interestingly, miR-21 was rapidly characterized as oncogenic by murine knock-in experiments [95]. Indeed, miR-21 negatively regulates certain tumor suppressors, including PTEN [96], and therefore acts as an anti-apoptotic and pro-survival factor [97]. The gene is located on the long arm of chromosome 17.

miRs act dose dependently. In fact, the miR-21-mediated oncogenic effects occur especially at high levels of miR-21 expression. In tumor diseases high levels of miR-21 are also correlated to poor survival and to a worse prognosis [98]. Studies are currently investigating the applicability of different miR-21 inhibitors as anti-cancer drugs [99]. Interestingly, the connection of obesity and miR-21 also works vice versa, whereby long-term inhibition of miR-21 leads to a reduction of obesity [100]. Additionally, the circumstance in which adiponectin induces the oncogenic miR-21 should be highlighted and considered, while investigating its eligibility as a cardioprotective therapeutic.

However, the analyzed adipokines adiponectin, leptin, and resistin not only induce several oncogenic miRs, they also downregulate several anti-tumoral miRs, including miR-27b. Indeed, miR-27b has been characterized as a suppressor for several genes associated with cancer, including PPARγ [101]. Furthermore, miR-27b synergizes with anticancer drugs by p53 activation [102].

The adipokine-induced oncogenic miRs (miR-21, miR-31, miR-96, miR-182, and miR-155) were further analyzed for their expression profiles in obesity-linked tumor diseases, like esophageal adenocarcinoma, renal carcinoma, and colon cancer. While the expressions of miR-21, miR-96, and miR-155 are reported to be increased in these tumor diseases in comparison to adjacent normal tissues, the information about miR-31 and miR-182 is either not yet available or contradictory in different tumor entities. BMI-related expression levels of such oncogenic miRs should be considered in further expression studies investigating the suitability of these oncogenic miRs as predictive biomarkers in several tumor diseases.

Actual research focuses on the development of miR-based therapeutics for the treatment of diseases including HCV infections, metabolic diseases, atherosclerosis, and tumor diseases. Mimics of the anti-tumoral miR-34a are being tested in phase I studies to reduce the expression of oncogenes in liver cancer. In contrast to that, the blockade of the oncogenic miR-21 and miR-221 by use of anti-miR constructs is being tested in preclinical trials [103]. Besides these direct approaches, indirect approaches affecting miR expression should also be discussed, for instance the block of circulating oncogenic adipokines.

This analysis is limited due to the small number of available studies investigating the effects of the adipokines on the miR transcriptome. Often just single miRs were analyzed instead of a complete miR transcriptome screening upon adipokine stimulation. In addition, it was also necessary to include murine studies. However, from such murine miRs the respective human homologues were representatively observed, which is also rather an estimate. Therefore, the calculated data need to be nuanced and only demonstrate the potential of these three adipokines to induce or reduce oncogenic/anti-tumoral miRs in peripheral tissues.

Indeed, the reported serum levels of these three adipokines differ between humans and mice. Human fasting leptin serum concentration is about 6.9 ± 0.3 ng/mL in males (n = 333) and 15.2 ± 1.3 ng/mL in females (n = 63) [104], while in healthy C57BL/6 mice the serum leptin concentration is about 0.1 ng/mL [105]. In the case of human fasting resistin serum levels the overall median is 8.93 ng/mL in males and 10.42 ng/mL in females [106], while in healthy C57BL/6 mice the serum resistin concentration is about 19 ng/mL [105]. Furthermore, the mean cohort human adiponectin level is 9.41 + 5.30 μg/mL (range 3.1–45.8) [107], while in healthy C57BL/6 mice the adiponectin serum concentration is about 44 ng/mL [105]. However, one cannot necessarily assume that the pure abundance of the three investigated adipokines determines their regulatory impact to affect miR expression in certain peripheral tissues. Also, many other factors need to be considered, like the expression of respective receptors on target cells, methylation status of miR genes harboring promotors in the target cells, or the expression of the miR-processing factors in the peripheral target cells, and even many more factors.

Nevertheless, direct studies with animal models should investigate the connection of adipokines and peripheral malignant transformation upon dysregulated miR expression patterns in dependence of obesity. Also, clinical studies in humans should verify the results of the published in vitro studies of the adipokine-regulated miRs under consideration of hyperplasia and hypertrophy as two types of adipose tissue with different endocrinological impact. The link between obesity and cancer is discussed upon the aspect of adipokine-regulated miRs, offering new strategies for tumor therapy and diagnostics.

Statement of Ethics

The authors have no ethical conflicts to disclose.

Disclosure Statement

The authors declare that no conflicts of interest exist.

Funding Sources

This work was performed with a grant of the Dr. Werner Jackstädt Foundation.

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