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High Incidence of MGMT and RARβ Promoter Methylation in Primary Glioblastomas: Association with Histopathological Characteristics, Inflammatory Mediators and Clinical Outcome


Glioblastomas, the most frequent primary brain tumors in adults, are characterized by a highly aggressive, inflammatory and angiogenic phenotype. Methylation of CpG islands in cancer-related genes may serve as an epigenetic biomarker for glioblastoma diagnosis and prognosis. The aim of this study was to analyze the methylation status of four critical tumor-associated genes (MGMT, RARβ, RASSF1A, CDH13), and investigate possible links with inflammatory (interleukin (IL)-6, IL-8) and angiogenic mediators (vascular endothelial growth factor (VEGF), cyclooxygenase (COX)-2) and clinical outcome in 23 glioma samples (6 grade II astrocytomas, 17 grade IV glioblastomas). RARβ and MGMT genes were more frequently methylated in 70.58% and 58.8% of glioblastomas, respectively. RASSF1A and CDH13 displayed a similar methylation frequency (23.52%) in glioblastomas. No gene methylation was observed in grade II astrocytomas. Tumor grade correlated positively with MGMT and RARβ methylation (P = 0.005 and P = 0.019, respectively) and the extent of necrosis (P= 0.001 and P= 0.003). Interestingly, the marker of chronic inflammation, IL-6, was positively associated with methylation of MGMT (P = 0.004), RARβ (P = 0.002), and RASSF1A (P = 0.0081) as well as the total number of methylated genes (P < 0.0001), indicating the important role of IL-6 in maintaining promoter methylation of these genes. VEGF expression correlated positively with MGMT and RARβ methylation although these relationships were of marginal significance (P= 0.0679 and P = 0.0757). Kaplan-Meier univariate survival analysis indicated an unfavorable survival period in patients with MGMT methylation compared with those without methylation (P= 0.0474). Our study highlights the implication of MGMT and RARβ methylation in the aggressive phenotype of primary glioblastomas. The association of MGMT methylation with clinical outcome indicates its potential prognostic value.


Glioblastoma multiforme, the most advanced form of astrocytoma, accounts for ~60% of brain tumors in adults. Owing to the difficulties with early diagnosis of this malignancy and its rapid progression and frequent recurrence, glioblastoma (WHO [World Health Organization] grade IV) is an extremely life-threatening intracranial malignant tumor (1,2). Patients with grade IV glioblastomas have a mean survival time of about 1 year compared with patients with anaplastic gliomas (grade III), who survive for 2–3 years, and those with grade II gliomas, who survive for 10–15 years (3,4).

Epigenetic alterations in the coding regions of cancer-associated genes have been shown to be common events in the genesis and progression of tumors (5,6). In cancer cells, aberrant methylation of CpG islands located in the promoter regions of genes implicated in functions related to cell cycle, invasion, apoptosis or DNA repair is frequently linked to transcriptional silencing and gene repression (5,6). The aforementioned alterations of the epigenome also contribute the biological behavior of the tumor, and might modulate the response of tumor cells, to anticancer therapies (7).

These observations prompted us to examine the methylation pattern of four genes with critical cancer-related function in 23 primary glioblastoma multiforme tumors that had undergone surgical removal. The genes under investigation included the candidate tumor suppressor genes Ras association domain family protein 1 (RASSF1A) and retinoic acid receptor β (RARβ), the cell adhesion-regulating gene cadherin 13, H-cadherin (heart) (CDH13), and the DNA repair gene O-6-methylguanine-DNA methyltransferase (MGMT).

RASSF1A, originally cloned and characterized as a human Ras effector homolog (8), contains two promoters and at least seven different transcripts (RASSF1A to RASSF1G) derived from alternative splicing and promoter usage (8). The protein encoded by transcript A (RASSF1A) interacts with the human DNA repair protein XPA in yeast 2-hybrid screens. Overexpression of RASSF1A stabilizes mitotic cyclins and induces prometaphase arrest (8). RASSF1A binds Ras in a guanosine triphosphate-dependent manner and serves as an effector mediating the apoptotic effects of Ras. Methylation of RASSF1A has been found in a high percentage of various human primary tumors (9,10), including gliomas (11).

The RARβ gene encodes RARβ, a member of the thyroid-steroid hormone receptor superfamily of nuclear transcriptional regulators. It binds retinoic acid, the biologically active form of vitamin A, which mediates cellular signaling during embryonic morphogenesis and cell growth and differentiation (12). RARβ transcript distribution displayed significant correlation with specific events during embryonic development of the mouse nervous system (13). RARβ has been found to be methylated in childhood intracranial ependymomas (13) and choroids plexus tumors (14). No previous studies on the effects of RARβ methylation in gliomas have been reported.

The gene product of CDH13, namely H-cadherin, is a member of the cadherin superfamily and plays a key role in cell-cell adhesion. H-cadherin is anchored to the cell-surface membrane through a glycosyl phosphatidylinositol moiety and unlike other cadherins such as E-cadherin, N-cadherin, and P-cadherin lacks the cytoplasmic domain (15). Recent studies have demonstrated the role of CDH13 as a tumor suppressor and invasion suppressor gene in lung, breast, colorectal, and gastric cancers (16,17). Furthermore, downregulation of H-cadherin due to hypermethylation in the promoter region of the CDH13 gene appears to be related to the tumorigenesis and invasiveness of these cancers. However, expression of H-cadherin and the methylation status of CDH13 in brain tissue have not been thoroughly investigated (18).

MGMT is the most investigated gene in astrocytic tumors. As a key DNA repair enzyme, MGMT specifically removes promutagenic methyl groups from the O-6 position of guanine by transferring them to cysteine acceptor sites on the protein itself (19). Promoter methylation of MGMT has been shown to be linked to the presence of G:C to A:T transition mutations in TP53 in many types of cancer, such as low-grade astrocytoma, anaplastic astrocytoma, and secondary glioblastomas (20,21). The validity of MGMT methylation as a prognostic and predictive indicator is still controversial. According to some investigators, MGMT promoter methylation has been associated with better survival in glioblastoma patients treated with radiotherapy and alkylating agents (20,21). In other reported studies, however, MGMT promoter methylation was not confirmed to be a positive predictive marker of response to chemotherapy with alkylating agents (22), and little is known about whether MGMT promoter methylation can be of prognostic value for glioblastoma patients not treated with chemotherapy.

Inflammatory mediators have important roles in carcinogenesis. Interleukin (IL)-6, an inflammatory cytokine that is a crucial mediator in the host immune defense response, also plays a pleiomorphic role in several kinds of human diseases including tumors. We have previously shown that IL-6 secretion and expression levels are strongly associated with the progression and invasion of glioblastomas (23). The chemotactic cytokine IL-8 has been implicated in the progression of various malignancies including those that arise in the central nervous system and may play a role in angiogenesis (24). Given the long-recognized prominence of vasculature in high-grade astrocytic gliomas, it is not surprising that several investigators have looked into the mechanisms promoting angiogenesis in these tumors. In this context, vascular endothelial growth factor (VEGF) figures prominently as the main effector in matching vascular supply to the metabolic requirements of the tumor (25). VEGF expression is under the control of hypoxia-inducible factor (HIF)-1α, a transcription factor regulating the adoptive responses to hypoxia (25). Modulation of the HIF-1α/VEGF axis by tissue oxygen concentration is largely responsible for the promotion of angiogenesis in glioblastomas (26). Other molecules implicated in the stimulation of angiogenesis in astrocytic tumors include cyclooxygenase (COX)-2, which is induced by inflammatory signals, mitogens, cytokines and growth factors (27). Previous studies from our group (27,28) revealed the coordinate expression and topographical relationship of IL-6, IL-8, COX-2 and VEGF in the same glioma tumor areas (for example, perinecrotic areas), attesting to their intimate liaison in terms of cancer-induced angiogenesis, which is probably secondary to induction of multiple interdependent molecular pathways.

In the present study, we aimed to analyze the methylation status of four genes involved in important steps of tumorigenesis (MGMT, RARβ, RASSF1A, and CDH13) and investigate possible links with inflammatory (IL-6, IL-8) and angiogenic mediators (VEGF, COX-2) as well as histopathological characteristics (tumor grade, extent of necrosis) and clinical outcome. The identification of possible associations between cytological and genetic features may prove to be of pertinent importance for the development of efficient treatment modalities.

Materials and Methods


Twenty-three patients with histologically diagnosed astroglial tumors randomly admitted to the ‘Evangelismos’ General Hospital (Athens, Greece) were enrolled in the present study. In all cases, the diagnoses and grading were peer reviewed by two experienced pathologists (G Levidou, P Korkolopoulou), according to the principles of the latest WHO classification (29). Seventeen cases were categorized as glioblastoma (grade IV) and six as diffuse astrocytoma (grade II). Informed consent was obtained from all patients and the study was approved by ethics committee of the University of Athens Medical School.

All patients had undergone tumor debulking, followed by assessment of the extent of surgery by tomography (computed tomographic scan) and magnetic resonance imaging (MRI) within 48 h (Figure 1). In each case the presence and extent of necrosis (focal/extensive) were also assessed by imaging techniques and were compared with those in tissue specimens. The mean age of patients was 58.14 years, ranging from 25 to 76 years, and the male-to-female ratio was 15 to 9. The medical records of glioma patients showed that they were under antiepileptic treatment. Three of the patients were also receiving drugs for diabetes mellitus and hyperlipidemia. Regular blood tests of patients during their hospitalization revealed no further abnormalities in their biochemical and lipid profiles.

Figure 1

MRI scan, presenting a transverse section of the brain. The glioblastoma tumor (arrow) is located in the right posterior parietal lobe (image taken from ‘Evangelismos’ General Hospital files, Athens, Greece).

Tissue Specimens

Fresh tumor specimens were cut immediately after removal into strips measuring approximately 1.5 × 1.5 × 0.5 cm. The strips were then divided into three fragments. The central fragment, for quality control purposes, was formalin fixed and paraffin embedded. Hematoxylin and eosin sections from the central fragment were used for diagnosis and grading, and examined to ensure that the material was representative and of good quality. Only samples consisting of more than 80% neoplastic tissue were employed. In each case the presence and extent of necrosis was similar to that seen in computed tomography and MRI tomography.

Immunohistochemical Analysis

Immunohistochemical localization of IL-6, IL-8, COX-2, and VEGF expression levels was performed in formalin-fixed paraffin-embedded tissue sections of all patients, as previously described (28). The following antibodies were used: anti-IL-6 (goat polyclonal, Santa Cruz Biotechnology, Santa Cruz, CA, USA) diluted 1:100; anti-IL-8 (rabbit polyclonal, BioSource International, Camarillo, CA, USA) diluted 1:50; anti-COX-2 (Scl746, monoclonal, Santa Cruz Biotechnology) diluted 1:100; and anti-VEGF (clone G153-694, monoclonal; Pharmingen BD, San Diego, CA, USA) diluted 1:75. The incubation time was 1 h at room temperature for VEGF and 18 h at 4°C for IL-6, IL-8 and COX-2. The buffers, blocking solutions, secondary antibodies, avidinbiotin complex reagents and chromogen were supplied in a detection kit (LSAB detection kit; Dako, Carpinteria, CA, USA). The percentage of neoplastic cells was estimated by using light microscopy.

DNA Extraction and Bisulfite Modification

Genomic DNA from frozen tissues was extracted by NucleoSpin Tissue (Macherey-Nagel, Düren, Germany) according to the manufacturer’s instructions. DNA concentration was estimated by spectrophotometry. DNA (500 ng) obtained from tissue samples, or cell line DNA was chemically modified using the EpiTect Bisulfite kit (Qiagen, West Sussex, UK) according to the manufacturer’s protocol. The modified DNA was used as a template for polymerase chain reaction (PCR) analysis. DNA from normal lymphocytes was used as unmethylated control. Human breast cancer cell line (MCF-7) was used as a positive control for methylated alleles.

Methylation-Specific PCR

The methylation status of the genes was determined by the method of methylation-specific PCR (MSP). PCR amplification was performed by using 150–200 ng of treated DNA as the template (11). Two sets of primers were used at the same position, one set specific for DNA methylated at CpG sites, and one specific for fully unmethylated DNA. PCR conditions, annealing temperatures and the expected PCR product sizes are summarized in Table 1. Products were visualized on 2% agarose gels or 6% non-denaturing polyacrylamide gels.

Table 1 Primer sequences and PCR conditions for MSP analysis.

Statistical Analyses

For basic statistical calculations, IL-6, IL-8, VEGF, and COX-2 expression were treated as continuous variables. The association of the above parameters with grade, necrosis, and methylation status was tested with Kruskal-Wallis ANOVA or Mann-Whitney U test. The correlations among IL-6, IL-8, VEGF and COX-2 expression and gene methylation status were examined with Spearman correlation coefficient. Survival analysis was performed using death by disease as the endpoint. The effect of various parameters on clinical outcome was assessed by plotting survival curves according to the Kaplan-Meier method and comparing groups using the log-rank test, as appropriate. All statistical calculations were performed using the statistical package STATA 9.0 for Windows Software. Differences were considered statistically significant when the P-value (two-sided) was < 0.05.


Frequency of Gene Promoter Methylation by MSP

In 23 primary glioblastomas the methylation status of the four gene promoter regions was determined by MSP. RARβ and MGMT genes were more frequently methylated in 70.58% and 58.8% of glioblastoma tissues, respectively. RASSF1A and CDH13 exhibited a similar positive methylation profile in 23.52% of glioblastoma cases. No gene methylation was observed in grade II astrocytomas. Furthermore, MGMT and RARβ methylation correlated positively with tumor grade (Fisher exact test, P = 0.005 and P = 0.019, respectively) and the extent of necrosis (Fisher exact test, P = 0.001 and P = 0.003; Table 2). The total number of methylated genes (patients with absolute number of three methylated genes) was positively correlated with the extent of necrosis (Kruskal-Wallis ANOVA, P = 0.0041) and marginally significant with tumor grade (Kruskal-Wallis ANOVA, P = 0.069).

Table 2 Associations of MGMT, RARβ, RASSF1A, CDH13 promoter methylation with histopathological characteristics.

Immunohistochemical Assessment of Inflammatory and Angiogenic Mediators

IL-6 expression was detected in 22 of 23 cases (median 30%) and specifically localized in tumor cells and macrophages as well as in areas of large ischemic necrosis, as previously described (23,28). The percentage of IL-6-positive neoplastic cells ranged from 2% to 80% (Figure 2).

Figure 2

Expression of inflammatory cytokines in astrocytic tumors. IL-6 immunoreactivity in the cytoplasm of neoplastic cells of grade II astrocytoma (A) and grade IV glioblastoma (B). IL-8 immunostaining in the cytoplasm of grade II neoplastic cells (C) and grade IV glioblastoma (D) (magnification 200×).

IL-8 expression was recorded in all 23 cases. Positive neoplastic cells represented 1% to 40% (median value, 0.10) of the neoplastic population and displayed a perinecrotic distribution. Moreover, IL-8 expression was identified in endothelial cells within glomerouloid vascular structures as well as in inflammatory cells around foci of necrosis (Figure 2). The median IL-8 expression level by the neoplastic cells was significantly lower than that of IL-6 (Wilcoxon signed-rank test, P = 0.0006).

Importantly, a significant relationship emerged between IL-6 expression and increasing histological grade (Kruskal-Wallis ANOVA test, P = 0.0264) or extensive necrosis (Mann-Whitney U test, P = 0.0209). On the other hand, IL-8 expression increased with increasing histological grade and degree of necrosis, albeit the latter relationship was of marginal significance (Kruskal-Wallis ANOVA test, P = 0.0204 and P = 0.0759, respectively).

COX-2 and VEGF expression was detected in the cytoplasm of neoplastic cells of all cases, with an increased expression in grade IV compared with grade II astrocytomas (Mann-Whitney U test, P = 0.024 and P = 0.001, respectively; Figure 3). A positive correlation was obtained between COX-2 and VEGF (Spearman correlation coefficient, P < 0.0001, r = 0.485). A significant positive correlation emerged between IL-6 expression on the one hand and COX-2 or VEGF on the other (Spearman correlation coefficient, P = 0.0033, r = 0.5856 and P = 0.05, r = 0.4095, respectively). The same applied to IL-8 expression (Spearman correlation coefficient, P = 0.0079, r = 0.5392 between COX-2 and IL-8 and P < 0.001, r = 0.7954 between VEGF and IL-8).

Figure 3

Expression of angiogenic factors in astrocytic tumors. VEGF immunoreactivity in neoplastic cells of grade II astrocytoma (A) and grade IV glioblastoma (B). COX-2 immunostaining in neoplastic cells of grade II astrocytoma (C) and grade IV glioblastoma (D) (magnification 200×).

Correlation between Gene Promoter Methylation Status and Inflammatory/Angiogenic Mediators

The correlations between gene promoter methylations and inflammatory/angiogenic factors are shown in Table 3. Among the two inflammatory cytokines under investigation, only IL-6 displayed statistically significant positive correlation with MGMT, RARβ, RASSF1A, and CDH13 promoter methylation (MannWhitney U test, P = 0.004, P = 0.002, P = 0.0081, respectively). A positive correlation was also obtained between the total number of methylated genes and IL-6 (Spearman correlation coefficient, P < 0.0001, r = 0.80). IL-8 expression showed no correlation with the methylation status of any gene (Mann-Whitney U test, P > 0.10).

Table 3 Correlations of MGMT, RARβ, RASSF1A, and CDH13 promoter methylation with inflammatory and angiogenic factors.

Regarding the angiogenic parameters, MGMT and RARβ displayed a positive correlation with VEGF of marginal significance (Mann-Whitney U test, P = 0.0679, P = 0.0757), whereas RASSF1A and CDH13 methylation did not present any significant correlation with VEGF (Mann-Whitney U test, P = 0.8034, P = 0.8040). The same applied also for all the methylated genes under investigation and COX-2 expression (Mann-Whitney U test, MGMT, P = 0.6603; RARβ, P = 0.1640; RASSF1A, P = 0.2821; CDH13, P = 0.2821).

Gene Promoter Methylation and the Impact on Prognosis

RASSF1A, RARβ, and CDH13 had no impact on survival time in primary glioblastoma patients (Kaplan-Meier univariate analysis, P = 0.6281, P = 0.5096, P = 0.8461, respectively); that is, mean survival times were similar for patients with or without these gene defects. However, MGMT promoter methylation affected mean survival time of the study patients. The median survival duration of patients with MGMT methylation was 12 months, compared with those who had no MGMT methylation and survived for more than 16 months (Kaplan-Meier univariate analysis, P = 0.0474; Figure 4).

Figure 4

Correlation between MGMT methylation status and overall survival of glioma patients.


Methylation status has been previously reported to be a significant prognostic variable for various tumor types. In this study of four genes involved in critical stages of glioma tumorigenesis we investigated whether the methylation status of these genes is associated with histopathological characteristics and inflammatory and angiogenic parameters, as well as clinical outcome.

An interesting finding was that the genes under investigation showed no methylation in grade II astrocytomas, whereas they presented a high degree of methylation in grade IV glioblastomas. The most frequently methylated genes in our study were the DNA repair gene MGMT and the tumor-suppressor gene RARβ, which were present in 70.58% and 58.8% of glioblastoma tissues, respectively, suggesting promoter methylation of these genes to be a common event in glioma tumorigenesis. A lower but significant methylation frequency was observed for RASSF1A and CDH13 genes, reaching 23.52% for both genes.

These data are in concert with a recent report of a study in which MGMT promoter methylation was detected in 72% of primary glioblastomas (30). In previous studies, MGMT promoter methylation was found in 36%–68% of primary glioblastomas (31,32), both in DNA samples isolated from frozen tumor tissue and in paraffin-embedded sections. In selected cases of long-term (more than 3 years) survivors with glioblastoma, MGMT promoter methylation reached 74% (33). One of the reasons for the high percentage of MGMT promoter methylation in our study may be a higher sensitivity of the MSP assay from cryopreserved tissue samples than from paraffin sections.

Active MGMT has a protective role against cytotoxic and mutagenic stress due to the removal of alkylating adducts from the O-6 position of guanine, which leads to chemotherapeutic alkylating drug resistance, whereas silencing of the MGMT gene has been suggested to predispose the neoplastic clones to acquisition of the guanine-to-adenine point mutations in K-ras and p53 (34).

Early studies showed that human tumor cells deficient in MGMT are unable to demethylate O-6-methylguanine in DNA and are more sensitive to alkylating agents than cells proficient in MGMT (35). Brain tumors expressing low levels of MGMT are more sensitive to chemotherapy based on alkylating agents, and MGMT depletion by O-6-benzylguanine enhances the therapeutic efficacy in vitro and in patients (36). Loss of MGMT expression is rarely caused by deletion, mutation, or rearrangement of the MGMT gene or mRNA instability. Inactivation of the MGMT gene by promoter methylation in glioma cell lines or in many primary tumors is a common occurrence. Therefore, regulation of MGMT expression seems to be an epigenetic event directly dependent on MGMT promoter methylation.

In our study, the presence of MGMT methylation had an impact on survival, indicating that patients without MGMT methylation had a better mean survival time than those bearing it. The prognostic and predictive value of MGMT determination remains uncertain. According to some reports, MGMT promoter methylation has been associated with better survival in glioblastoma treated with radiotherapy and alkylating agents (20,21). However, MGMT promoter methylation was not confirmed by others to be a positive predictive marker of response to chemotherapy with alkylating agents (22). Few data are available to elucidate whether MGMT promoter methylation can be predictive for glioblastoma patients who are not treated with chemotherapy. Some studies have revealed that MGMT promoter methylation per se is an independent favorable prognostic factor irrespective of treatment (22).

RARβ is the second gene found to be frequently methylated in grade IV glioblastomas (58.8%). Being a nuclear receptor, RARβ is often found deregulated in several tumors. In glial tumors, there is only one study in which, irrespective of the tumor histological grade, a constant decrease of RARβ expression was found in reference to normal tissue. However, RARβ methylation was not always associated with its transcriptional silencing (37). Additionally, hypermethylation of the RARβ gene has been detected in papillomas but was absent in normal choroid plexus tissue, suggesting that methylation of the RARβ gene could be an early event in the development of choroid plexus tumors (13,14).

The fact that both MGMT and RARβ promoter methylation correlated positively with tumor grade and the extent of necrosis in glioblastoma tissue indicates the possible pathological involvement of these genes and their implication in pathways engaged in tumor progression.

RASSF1A, a tumor suppressor gene on 3p21.3, is frequently inactivated during tumorigenesis in a variety of cancers, most commonly by promoter methylation. Several studies correlate the loss of RASSF1A gene expression to promoter methylation in 32% to 70% of astrocytomas (38,39). Notably, RASSF1A promoter methylation seems to increase with tumor grade. In our study, RASSF1A promoter methylation was found in 23.52% of glioblastomas and was not correlated with tumor grade or degree of necrosis, possibly owing to small sample number. However, a recent study investigating RASSF1A methylation in 53 astrocytomas and 10 highgrade glioma cell lines showed 92% of tumor samples being methylated for RASSF1A, suggesting that inactivation of this tumor suppressor gene by promoter methylation is a crucial and frequent event in astrocytoma initiation and progression (11). Furthermore, the fact that RASSF1A promoter methylation occurs rarely in normal tissues, including the brain, renders its analysis a useful diagnostic tool in early tumor detection and disease monitoring.

The CDH13 gene, which codes for the calcium-dependent protein H-cadherin, was also found methylated in 23.52% of grade IV glioblastomas. Loss of expression of CDH13 has been found in parallel with the hypermethylated promoter CpG islands in various cancers (40). However, only one study of gliomas, in which investigation of CDH13 in low grade astrocytomas revealed no methylation patterns, had findings in accordance with our observations (18).

An important finding of our study is the relationship between inflammatory mediators and the defective genetic profile of gliomas. A strong association exists between states of chronic inflammation and cancer, and it is believed that mediators of inflammation may be responsible for this phenomenon. It has been previously reported that chronic inflammation along with aging and viral infections may be associated with methylation (41), and much work is being done to unveil how the aberrant methylation is induced and maintained.

In our study, IL-6 expression in tumor samples was positively correlated with MGMT, RARβ and RASSF1A methylation, suggesting a possible mechanism employed by IL-6 in the growth and survival of gliomas. Previous investigators have described the ability of IL-6 to induce the expression and activity of DNMT-1, the maintenance methylase, in the human erythroleukemia cell line K-562 (42). These findings suggest that IL-6 may affect epigenetic mechanisms beyond its previously described functions involving the mediation of inflammation and differentiation. In K-562 cells, IL-6 induces the expression of the Fli1/ERG-B transcription factor by direct activation of STAT-3, a transcriptional regulator shown previously to possess oncogenic potential (43). The activation of STAT-3 has been shown to be important in the oncogenesis of many types of cancer, including gliomas (44). Another study has demonstrated an important link between IL-6 signaling and p53 methylation in a human multiple myeloma cell line, suggesting that IL-6 can establish and maintain promoter methylation.

The prognostic value of IL-6 in gastric cancer is supported by data obtained through analysis of the associations of serum IL-6 levels with methylation status of p16, death-associated protein kinase (DAPK), MGMT, and E-cadherin. Low serum IL-6 levels were associated with p16 or DAPK gene methylation in patients with this type of cancer (45).

On the other hand, although IL-6 levels seem to be crucial for maintenance of gene promoter methylation, the mechanisms regulating IL-6 expression remain unclear. Studies on the transcriptional control of IL-6 have identified at least four transcription factor binding sites located within the IL-6 promoter region, including nuclear factor kappa B, cAMP response element-binding protein, CCAAT/enhancer binding protein, and activator protein 1 binding sites, whose roles in the regulation of IL-6 expression are complex and dependent on cell type and alterations in microenvironments. Several studies also suggest a role for DNA methylation in the epigenetic regulation of cytokine gene expression (46).

To the best of our knowledge, this is the first study to provide evidence of an important link between IL-6 and epigenetic gene silencing in glioblastomas. Further studies are required to elucidate the actual mechanisms underlying the epigenetic control of tumor cell functions by IL-6.

In summary, our results demonstrated a role of MGMT and RARβ genes in glioma tumorigenesis, with MGMT promoter methylation being of prognostic value for glioblastoma patients. Furthermore, the positive correlation between IL-6 expression levels and methylation status of MGMT, RARβ and RASSF1A genes is one of the possible mechanisms of inflammatory mediators involved in the growth and survival of glioma tumors.


The authors declare that they have no competing interests as defined by Molecular Medicine, or other interests that might be perceived to influence the results and discussion reported in this paper.


  1. 1.

    Hsieh JC, Lesniak MS. (2005) Surgical management of high-grade gliomas. Expert Rev. Neurother. 5:33–9.

    Article  Google Scholar 

  2. 2.

    Maher EA, et al. (2001) Malignant glioma: genetics and biology of a grave matter. Genes. Dev. 15:1311–33.

    CAS  Article  Google Scholar 

  3. 3.

    Cavenee WK, et al. (2000) Diffusely infiltrating astrocytomas. In: Pathology and Genetics of Tumours of the Nervous System. 2nd ed. Kleihues P, Cavenee WK (eds.) IARC Press, Lyon. pp. 10–21.

    Google Scholar 

  4. 4.

    Burger PC, Green SB. (1987) Patient age, histologic features, and length of survival in patients with glioblastoma multiforme. Cancer. 59:1617–25.

    CAS  Article  Google Scholar 

  5. 5.

    Esteller M. (2002) CpG island hypermethylation and tumor suppressor genes: a booming present, a brighter future. Oncogene. 21:5427–40.

    CAS  Article  Google Scholar 

  6. 6.

    Jones PA, et al. (2002) The fundamental role of epigenetic events in cancer. Nat. Rev. Genet. 3:415–28.

    CAS  Article  Google Scholar 

  7. 7.

    Esteller M. (2003) Relevance of DNA methylation in the management of cancer. Lancet Oncol. 4:351–8.

    CAS  Article  Google Scholar 

  8. 8.

    Dammann R, et al. (2000) Epigenetic inactivation of a RAS association domain family protein from the lung tumour suppressor locus 3p21.3. Nat. Genet. 25:315–9.

    CAS  Article  Google Scholar 

  9. 9.

    Agathanggelou A, et al. (2001) Methylation associated inactivation of RASSF1Afrom region 3p21.3 in lung, breast and ovarian tumours. Oncogene. 20:1509–18.

    CAS  Article  Google Scholar 

  10. 10.

    Morrissey C, et al. (2001) Epigenetic inactivation of the RASSF1A 3p21.3 tumor suppressor gene in both clear cell and papillary renal cell carcinoma. Cancer Res. 61:7277–81.

    CAS  PubMed  Google Scholar 

  11. 11.

    Lorente A, et al. (2009) RASSF1A, BLU, NORE1A, PTEN and MGMT expression and promoter methylation in gliomas and glioma cell lines and evidence of deregulated expression of de novo DNMTs. Brain Pathol. 19:279–92.

    CAS  Article  Google Scholar 

  12. 12.

    Soprano DR, Qin P, Soprano KJ. (2004) Retinoic acid receptors and cancers. Annu. Rev. Nutr. 24:201–24.

    CAS  Article  Google Scholar 

  13. 13.

    Losi-Guembarovski R, Kuasne H, Guembarovski AL, Rainho CA, Cólus IM. (2007) DNA methylation patterns of the CDH1, RARB, and SFN genes in choroid plexus tumors. Cancer Genet. Cytogenet. 179:140–5.

    CAS  Article  Google Scholar 

  14. 14.

    Michalowski MB, et al. (2006) Methylation of RASSF1A and TRAIL pathway-related genes is frequent in childhood intracranial ependymomas and benign choroid plexus papilloma. Cancer Genet. Cytogenet. 166:74–81.

    CAS  Article  Google Scholar 

  15. 15.

    Lee SW. (1996) H-cadherin, a novel cadherin with growth inhibitory functions and diminished expression in human breast cancer. Nat. Med. 2:776–82.

    CAS  Article  Google Scholar 

  16. 16.

    Toyooka KO, et al. (2001) Loss of expression and aberrant methylation of the CDH13 (H-cadherin) gene in breast and lung carcinomas. Cancer Res. 61:4556–60.

    CAS  PubMed  Google Scholar 

  17. 17.

    Toyooka S, et al. (2002) Aberrant methylation of the CDH13 (H-cadherin) promoter region in colorectal cancers and adenomas. Cancer Res. 62:3382–86.

    CAS  PubMed  Google Scholar 

  18. 18.

    Yu J, et al. (2004) Methylation profiles of thirty four promoter-CpG islands and concordant methylation behaviours of sixteen genes that may contribute to carcinogenesis of astrocytoma. BMC Cancer. 4:65.

    Article  Google Scholar 

  19. 19.

    Pegg AE. (2000) Repair of O(6)-alkylguanine by alkyltransferases. Mutat. Res. 462:83–100.

    CAS  Article  Google Scholar 

  20. 20.

    Paz MF, et al. (2004) CpG island hypermethylation of the DNA repair enzyme methyltransferase predicts response to temozolomide in primary gliomas. Clin. Cancer Res. 10:4933–8.

    CAS  Article  Google Scholar 

  21. 21.

    Watanabe T, et al. (2005) O6-methylguanine-DNA methyltransferase methylation and TP53 mutation in malignant astrocytomas and their relationships with clinical course. Int. J. Cancer 113:581–7.

    CAS  Article  Google Scholar 

  22. 22.

    Gorlia T, et al. (2008) Nomograms for predicting survival of patients with newly diagnosed glioblastoma: prognostic factor analysis of EORTC and NCIC trial 26981–22981/CE.3. Lancet Oncol. 9:29–38.

    Article  Google Scholar 

  23. 23.

    Samaras V, et al. (2007) Application of the ELISPOT method for comparative analysis of interleukin (IL)-6 and IL-10 secretion in peripheral blood of patients with astroglial tumors. Mol. Cell Biochem. 304:343–51.

    CAS  Article  Google Scholar 

  24. 24.

    Brat DJ, Bellail AC, Van Meir EG. (2005) The role of interleukin-8 and its receptors in gliomagenesis and tumoral angiogenesis. Neuro. Oncol. 7:122–33.

    CAS  Article  Google Scholar 

  25. 25.

    Wenger RH, Gassmann M. (1997) Oxygen(es) and the hypoxia-inducible factor-1. Biol. Chem. 378:609–16.

    CAS  PubMed  Google Scholar 

  26. 26.

    Korkolopoulou P, et al. (2004) Hypoxia-inducible factor 1alpha/vascular endothelial growth factor axis in astrocytomas. Associations with microvessel morphometry, proliferation and prognosis. Neuropathol. Appl. Neurobiol. 30:267–78.

    CAS  Article  Google Scholar 

  27. 27.

    Perdiki M, et al. (2007) Cyclooxygenase-2 expression in astrocytomas. Relationship with microvascular parameters, angiogenic factors expression and survival. Mol. Cell. Biochem. 295:75–83.

    CAS  Article  Google Scholar 

  28. 28.

    Samaras V, et al. (2009) Analysis of interleukin (IL)-8 expression in human astrocytomas: associations with IL-6, cyclooxygenase-2, vascular endothelial growth factor, and microvessel morphometry. Hum. Immunol. 70:391–7.

    CAS  Google Scholar 

  29. 29.

    Louis DN, et al. (2007) The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol. 114:97–109.

    Article  Google Scholar 

  30. 30.

    Jesien-Lewandowicz E, et al. (2009) High incidence of MGMT promoter methylation in primary glioblastomas without correlation with TP53 gene mutations. Cancer Genet. Cytogenet. 188:77–82.

    CAS  Article  Google Scholar 

  31. 31.

    Nakamura M, Watanabe T, Yonekawa Y, Kleihues P, Ohgaki H. (2001) Promoter methylation of the DNA repair gene MGMT in astrocytomas is frequently associated with G:C → A:T mutations of the TP53 tumor suppressor gene. Carcinogenesis. 22:1715–9.

    CAS  Article  Google Scholar 

  32. 32.

    Hegi ME, et al. (2004) Clinical trial substantiates the predictive value of O-6-methylguanine-DNA methyltransferase promoter methylation in glioblastoma patients treated with temozolomide. Clin. Cancer Res. 10:1871–4.

    CAS  Article  Google Scholar 

  33. 33.

    Krex D, et al. (2007) Long-term survival with glioblastoma multiforme. Brain 130:2596–606.

    Article  Google Scholar 

  34. 34.

    Kohya N, Kitajima Y, Kitahara K, Miyazaki K. (2003) Mutation analysis of K-ras and betacatenin genes related to O6-methylguanine-DNA methyltransferase and mismatch repair protein status in human gallbladder carcinoma. Int. J. Mol. Med. 11:65–9.

    CAS  PubMed  Google Scholar 

  35. 35.

    Yarosh DB, Foote RS, Mitra S, Day RS 3rd. (1983) Repair of O6-methylguanine in DNA by demethylation is lacking in Mer human tumor cell strains. Carcinogenesis. 4:199–205.

    CAS  Article  Google Scholar 

  36. 36.

    Dolan ME, Pegg AE. (1997) O6-benzylguanine and its role in chemotherapy. Clin. Cancer Res. 3:837–47.

    CAS  PubMed  Google Scholar 

  37. 37.

    Klein O, Grignon Y, Civit T, Auque J, Marchal JC. (2005) Methylation status of RARbeta gene promoter in low and high grade cerebral glioma. Comparison with normal tissue. Immuno-histochemical study of nuclear RAR-beta expression in low and high grade cerebral glioma cells. Comparison with normal cells. 48 tumors. Neurochirurgie. 51:147–54.

    CAS  Article  Google Scholar 

  38. 38.

    Gao Y, et al. (2004) Hypermethylation of the RASSF1A gene in gliomas. Clin. Chim Acta. 349:173–9.

    CAS  Article  Google Scholar 

  39. 39.

    Girault I, Tozlu S, Lidereau R, Bieche I. (2003) Expression analysis of DNA methyltransferases 1, 3A, and 3B in sporadic breast carcinomas. Clin. Cancer Res. 9:4415–22.

    CAS  PubMed  Google Scholar 

  40. 40.

    Azarschab P, et al. (2003) Epigenetic control of E-cadherin (CDH1) by CpG methylation in metastasising laryngeal cancer. Oncol. Rep. 10:501–3.

    CAS  PubMed  Google Scholar 

  41. 41.

    Ushijima T, Okochi-Takada E. (2005) Aberrant methylations in cancer cells: where do they come from? Cancer Sci. 96:206–11.

    CAS  Article  Google Scholar 

  42. 42.

    Hodge DR, et al. (2001) Interleukin-6 regulation of the human DNA methyltransferase (HDNMT) gene in human erythroleukemia cells. J. Biol. Chem. 276:39508–11.

    CAS  Article  Google Scholar 

  43. 43.

    Hodge DR, Li D, Qi SM, Farrar WL. (2002) IL-6 induces expression of the Fli-1 proto-oncogene via STAT3. Biochem. Biophys. Res. Commun. 292:287–91.

    CAS  Article  Google Scholar 

  44. 44.

    Van Meir EG, et al. (1992) Interleukin-8 is produced in neoplastic and infectious diseases of the human central nervous system. Cancer Res. 52:4297–305.

    PubMed  Google Scholar 

  45. 45.

    Tang LP, et al. (2006) An inverse correlation between interleukin-6 and select gene promoter methylation in patients with gastric cancer. Digestion. 74:85–90.

    CAS  Article  Google Scholar 

  46. 46.

    Makar KW, Wilson CB. (2004) DNA methylation is a nonredundant repressor of the Th2 effector program. J. Immunol. 173:4402–6.

    CAS  Article  Google Scholar 

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This work was supported by the Special Account for Research Grants of the University of Athens (‘Kapodistrias’ Program) and by the Greek Ministry of Health (KESY research grant, 2005). We thank PA Konstantinopoulos (Division of Hematology-Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School) for helpful comments and suggestions.

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Correspondence to Athanasios G. Papavassiliou.

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Piperi, C., Themistocleous, M.S., Papavassiliou, G.A. et al. High Incidence of MGMT and RARβ Promoter Methylation in Primary Glioblastomas: Association with Histopathological Characteristics, Inflammatory Mediators and Clinical Outcome. Mol Med 16, 1–9 (2010).

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