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. 2011 Jul 11;7(3):512–516. doi: 10.5114/aoms.2011.23421

Hypermethylation of p16 and DAPK promoter gene regions in patients with non-invasive urinary bladder cancer

Zbigniew Jabłonowski 1, Edyta Reszka 2, Jolanta Gromadzińska 2, Wojciech Wąsowicz 2, Marek Sosnowski 1
PMCID: PMC3258754  PMID: 22295037

Abstract

Introduction

The aim of the study was to examine the frequency of methylation status in promoter regions of p16 and DAPK genes in patients with non-invasive bladder cancer.

Material and methods

Forty-two patients (92.9% men, 73.8% smokers, 71.4% T1G1, 19.1% T1G2, 9.5% T1G3) and 36 healthy controls were studied. Isolation of genomic DNA from blood serum and methylation-specific PCR (MSP) were applied. Methylation status – methylated and unmethylated promoter regions of p16 and DAPK genes were analysed.

Results

Seventeen out of 42 patients (40.5%) had the methylated p16 gene, while methylation of the DAPK gene was seen in 27 of 42 cases (64.3%). In 12 patients (28.6%) both analysed genes were methylated. A statistically significant (p = 0.046) higher frequency of DAPK gene methylation (71.4%) was observed in patients with lower grade (G1) bladder cancer.

Conclusions

Detection of the aberrant hypermethylation of DAPK and p16 genes in blood DNA from non-invasive bladder cancer patients might offer an effective means for earlier auxiliary diagnosis of the malignancy.

Keywords: non-invasive bladder cancer, DAPK, p16, hypermethylation, methylation-specific PCR

Introduction

During the last two decades, research concerning the aetiology of cancer disease has been considering not only causes such as carcinogen or mutagen damage of DNA, but also the processes of non-genotoxic cancer aetiology. It is suggested that epigenetic changes which concern inherited changes of gene expression are not connected with changes in the genome sequence.

Epigenetic control of gene transcription includes methylation of the DNA and covalent modifications, such as acetylation and methylation, of chromatin’s histone proteins [1, 2]. Both mechanisms are closely linked to each other. Hypomethylation of the genomic DNA, which is connected to the activation of the oncogene, as well as hypermethylation of the promoter regions or exons of tumour suppressor genes, are observed in neoplastic cells.

Excessive methylation of CpG islands was found in anti-oncogene promoter regions, which were associated with the repair of damaged DNA (MLH1, 06-MGMT, BRCA1), metastases and invasiveness of the cancer genesis process (E-cadherin, VHL, APC) metabolism of xenobiotics (GSTP1), apoptosis (DAPK), cell cycle (Rb, p16, p15, p14, p73) and other cell processes (ER, RAR-β) of patients with varied tumour locations [3].

It is suggested that changes in the degree of methylation of DNA in cancer disease may determine the process of cancer genesis, mainly due to ‘silencing’ of the transcription process.

The product of the DAPK gene is considered to be a positive mediator of apoptosis, and moreover it is connected with the suppression of neoplastic processes [4, 5]. The p16INK4a protein belongs to a family of regulators of the cell cycle, called cyclin-dependent kinase inhibitors (CDKI), which bind themselves to cyclin-CDK complexes. The formation of such complexes causes, as a result, the arrest of the cell cycle in the G1 phase. This is also the way through which the p16INK4a protein can stop the proliferation of neoplastic cells [6].

The aim was to examine the frequency of hypermethylation in promoter regions of p16 and DAPK genes in patients with non-invasive bladder cancer.

Material and methods

Forty-two patients, citizens of central Poland, with non-invasive urinary bladder cancer, of different grading (G) were examined. Methylation of promoter regions of the p16 anti-oncogene, a gene involved in the regulation of the cell cycle, and the DAPK gene (death-associated protein kinase), which is involved in processes of programmed cell death, was analysed. The histopathological classification of urinary bladder cancer was confirmed by two independent histopathologists.

The reference group, chosen on the basis of age and gender, consisted of 36 healthy control volunteers. Before blood samples were taken, participants of the study were interviewed with a questionnaire. The questionnaire included questions concerning demographic data, place of residence, history of cigarette addiction and of employment.

The majority of patients in the control group (91.7%) and the study group (92.9%) were men. In the group with urinary bladder cancer 73.8% people smoked cigarettes and in the reference group the smokers constituted 69.4% of the group. In the group of patients with non-invasive urinary bladder cancer, most cases (71.4%) were characterized by a low degree of neoplasm and clinical progression (T1G1). The characteristics of both groups as well as data concerning the clinical progression and the degree of neoplasm in patients with urinary bladder cancer are presented in Table I.

Table I.

Characteristics of studied groups

Bladder cancer [pts] Control group
N 42 42
Sex2: Males 39 (92.9%) 33 (91.7%)
Females 3 (7.1%) 3 (8.3%)
Age1 66.5 ±10.4
(51-92)
57.0 ±17.2
(37-83)
BMI1 25.7 ±4.0
(17.7-36.3)
25.7 ±4.0
(20.8-34.0)
Smoking habit2: Yes 31 (73.8%) 25 (69.4%)
No 11 (26.2%) 11 (30.6%)
Histopathology T1 42 (100%)
G1 30 (71.4%)
G2 8 (19.1%)
G3 4 (9.5%)
1

Student’s t-test and Mann-Whitney U test, NS – not significant

2

χ2 test, NS – not significant

Permission to conduct the research was granted by the Local Ethics Commission of Scientific Research (Resolution no. 25/2003 dated 2.06.2003). After being acquainted with the aim and the methods used in the study, as well as the possibility to quit the study at any desired moment, each of the patients included in the study or reference group signed a written informed consent form.

Before any treatment, peripheral blood samples were taken from both groups of patients.

In order to detect the methylation status of the two chosen genes, specifically the p16 and the DAPK gene, in peripheral blood, the MSP method (methylation-specific PCR) was used.

Blood samples collected from each participant were stored at –70°C before DNA isolation. DNA samples were extracted from 200 µl of blood serum using the procedures of QIAamp DNA Blood Mini Kit (Syngen Biotech, Poland). Sodium bisulfite conversion of 1 µg of genomic DNA was performed with CpGenome Modification Kit (Millipore, Biokom, Poland). After bisulfite conversion, the methylation analysis was conducted by the MSP assay. Primers for determination of methylated or unmethylated p16 and DAPK alleles have been described elsewhere [7-9]. A nested, two-stage PCR approach was used for p16 methylation status analysis described by Palmisano et al. After 1st stage PCR with primers specific to methylated or unmethylated template, 280-bp products were 50-fold diluted and 2 µl of diluted amplicons were used in the 2nd stage PCR. Primer sequences, product sizes and annealing temperatures used for MSP analysis are presented in Table II. The methylation status of the p16 was determined with AmpliTaqGold polymerase (Applied Biosystems, Poland) and of the DAPK gene with HotStarTaq polymerase (Qiagen, Syngen Biotech, Poland) in a 20 µl volume. CpGenome universal methylated DNA (Millipore, Biokom, Poland) served as a positive control of methylated alleles.

Table II.

Primer sequence, product size and annealing temperature used for MSP

Gene Forward primer (F) (5’ → 3’) Reverse primer (R) (5’ → 3’) Annealing temperature [°C] Product size [bp] Ref.

p16 N1F GAAGAAAGAGGAGGGGTTGG NR CTACAAACCCTCTAC 60 280 Palmisano et al., 2000

M2F TTATTAGAGGGTGGGGCGGATCGC MR GACCCCGAACCGCGACCGTAA 65 150 Herman et al., 1996

U3F TTATTAGAGGGTGGGGTGGATTGT UR CAACCCCAAACCACAACCATAA 60 151

DAPK MF GGATAGTCGGATCGAGTTAACGTC MR CCCTCCCAAACGCCGA 56 98 Esteller et al., 1999

UF GGAGGATAGTTGGATTGAGTTAATGTT UR CAAATCCCTCCCAAACACCAA 61 106

N – nested PCR primer, M – methylated-specific primer, U – unmethylated-specific primer

After amplification, PCR products were electrophoresed on 1% agarose with ethidium bromide along with DNA ladder and then visualized and analysed. Samples with ambiguous results were re-tested and 10% of all samples were repeated.

To analyse the material, the χ2 test, Student’s t-test and non-parametric Mann-Whitney-U test were used. Statistical significance was defined as a value p < 0.05.

Results

Analysis of the profile of methylation in patients with urinary bladder cancer shows that 17 out of 42 patients (40.5%) presented hypermethylation of the p16 gene, while methylation of the DAPK gene was seen in 27 of 42 cases (64.3%). In the case of 12 patients (28.6%) both analysed genes were methylated, and in the case of 10 patients (23.8%), promoter regions of p16 and DAPK genes were unmethylated. A statistically significant (p = 0.046) higher frequency of hypermethylation of the DAPK gene (71.4%) was observed in patients with low grade (G1) urinary bladder cancer in comparison to patients with the G2 and G3 form (55%). Such a dependency was not observed in the case of p16 gene methylation. A statistically significant difference in the frequency of hypermethylation of the p16 and DAPK genes was not seen in association with age and cigarette smoking.

Methylation of the p16 and DAPK genes was not observed in blood serum of patients from the control group. Table III presents the results of hypermethylation of promoter regions in the p16 and DAPK genes.

Table III.

Percentage of DAPK and p16 gene methylation

Gene methylation No. of pts Percentage
DAPK methylation 27/42 64.3
p16 methylation 17/42 40.5
DAPK and p16 methylation 12/42 28.6
No methylation 10/42 23.8

Higher frequency (p = 0.046) of DAPK methylation (71.4%) in patients with lower grading (G1) in comparison to G2 and G3 (55%). No such dependency in methylation of p16. No methylation of p16 and DAPK in healthy control volunteers. p16 and DAPK methylation; smokers vs. non-smokers – no significance

Discussion

It has been suggested that changes in the degree of methylation in DNA regulatory regions, observed during the course of neoplastic disease, can influence the process of cancer genesis through ‘silencing’ of the process of transcription. Some studies have found that the hypermethylation of promoter regions mainly involves genes responsible for control of the cell cycle and apoptosis, DNA damage repairing genes, and genes connected with the metabolism of xenobiotics [7].

In the presented project, the anti-oncogene p16 and DAPK were chosen to analyse the hypermethylation of promoter regions in genomic DNA isolated from blood serum of bladder cancer patients. The p16 gene is involved in the regulation of the cell cycle while the DAPK gene is committed to a process of programmed cell death. p16 and DAPK genes are closely connected with the process of cancer genesis, by inducing the suppression of cell proliferation. So far, in Poland, research concerning the promoter hypermethylation of genomic DNA from blood has not been conducted. At the same time, in world literature, the role of epigenetic regulation of the p16 and DAPK genes in urinary bladder cancer has not been completely explained.

Past researchers have used neoplastic tissues to estimate the degree of DNA hypermethylation. Many authors claim that peripheral blood, serum and plasma can be good diagnostic material for the detection of changes, such as DNA hypermethylation, in nucleic acids [8-10]. Valenzuela et al. observed a statistically significant dependence between the methylation of p16 in the promoter region in tissue and plasma, while examining 86 people with urinary bladder cancer. Dominguez et al. achieved similar results, assessing, among other things, the hypermethylation of promoter p14 and p16 regions in 27 urinary bladder cancer patients [11].

Excessive methylation of CpG islands (cytosine, phosphorylated guanine), which occurs in the promoter regions, is observed in various types of tumours. As a consequence, hypermethylation can lead to the decrease of transcription activity of specific genes and can play an important role in the induction of the cancer genesis process. Some authors claim that even up to 65% of cases of neoplastic disease may be linked to these epigenetic changes [9].

Hypermethylation of promoter regions in the p16 and DAPK genes does not occur in healthy people. This confirms our observations.

Many authors have observed hypermethylation, in 7% to 60% of cases, of the p16 gene, in patients with urinary bladder cancer [12-16]. In our study, patients with urinary bladder cancer, in whom hypermethylation of the p16 gene was seen, made up 40.5%.

In the case of DAPK, hypermethylation was found in 4% to 45.5% of patients with urinary bladder cancer [14-16], but when counting all of the patients examined in our centre, this proportion was 64.3%. The observed variation could be the result of differences in the sensitivity of our method of detection of DNA methylation as well as of the heterogeneity of the sample taken [17]. Some of the authors also paid attention to the correlation between DNA methylation and the time of progression of the neoplastic disease. Higher frequency of hypermethylation in the DAPK gene was observed in the beginning stages of neoplastic disease [18-21].

Tada et al. claimed that the assessment of the changes in DAPK methylation can be a prognostic factor of non-invasive urinary bladder cancer recurrences [22]. They proved that the percentage of recurrences of the disease was 88% among those patients in whom DAPK hypermethylation was found, while it was only 28% among those patients in whom gene methylation was not seen. We observed a higher frequency in DAPK gene hypermethylation (71.4%) among patients with urinary bladder cancer of lower malignancy (grade G1) in comparison to patients with grades G2 and G3 (55%). A longer follow-up of these patients could help us explain the above observations.

In conclusion, detection of the aberrant methylation of DAPK and p16 genes in blood DNA from non-invasive bladder cancer patients might offer an effective means for the earlier auxiliary diagnosis of the malignancy. The usefulness of the above-mentioned research, in clinical practice, still has to be evaluated.

Acknowledgments

This study was supported by a Ministry of Science and Higher Education grant (No. N N403 188434) and by an internal grant (IMP1.3/2004).

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