Literature DB >> 26457819

The Correlation Relationship between P14ARF Gene DNA Methylation and Primary Liver Cancer.

Hui Zhang1, Wanpin Nie1, Feizhou Huang1.   

Abstract

BACKGROUND: Primary liver cancer is a common malignant tumor that causes serious damage to human health. DNA methylation is common in epigenetics. DNA methylation plays an important role in the process of primary liver cancer occurrence and development. The P14ARF gene is an important tumor suppressor gene. It was found that P14ARF methylation is associated with the degree of malignancy in multiple tumors. Therefore, this study aimed to investigate the relationship between P14ARF methylation level and primary liver cancer malignant degree.
MATERIAL AND METHODS: Carcinoma tissues and adjacent tissues were collected from 87 primary liver cancer patients. Pyrosequencing was applied to obtain P14ARF methylation. Real-time PCR was used to detect P14ARF mRNA level.
RESULTS: P14ARF methylation level in cancerous tissue was significantly higher than in the adjacent tissue (t=76.54, P<0.001). P14ARF methylation showed no significant difference in patients with different age, sex, smoking status, or drinking status. It did not present an obvious difference in tumors with different size. Its methylation level increased following the improvement of TNM stage (P<0.05). Compared with the adjacent tissue, P14ARF mRNA in carcinoma tissue decreased by 31% (t=28.91, P<0.001). P14ARF methylation showed a significant negative correlation with mRNA expression in cancerous tissue (r=-0.43, P<0.01).
CONCLUSIONS: P14ARF mRNA level is regulated by DNA methylation in primary liver cancer. P14ARF gene DNA methylation may be associated with the occurrence of primary liver cancer occurrence and TNM staging.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26457819      PMCID: PMC4608642          DOI: 10.12659/MSM.894395

Source DB:  PubMed          Journal:  Med Sci Monit        ISSN: 1234-1010


Background

Primary liver cancer is a common malignant tumor with great impacts on human health and economics and its incidence is continuously rising [1]. Following the development of serum AFP clinical application and imaging techniques, more liver cancers are found in the early stage. Early liver cancer treatment also has experienced great progress, but the 5-year survival rate has not significantly improved. Currently, researchers found that, in addition to genetic factors and environmental factors, epigenetic changes also play an important role in tumor development [2]. DNA methylation is a common epigenetic modification that is closely related to tumor occurrence and development, and even potential biomarkers for tumor [3]. Abnormal DNA methylation in tumors is mainly presented as specific gene hypermethylation and genome-wide hypomethylation. It can increase chromosome instability or cause tumor suppressor gene inactivation, resulting in tumor occurrence. Studies have shown that DNA methylation change is related to primary liver cancer occurrence. Multiple genes in liver tissue, such as SASH1 [4], GPX3 [5], RASSF1A [6], GSTP1 [7], and P16 genes [8], are found as DNA methylation levels increase, while genome-wide alternative gene LINE-1 methylation level decrease [9,10]. The P14ARF gene is an important tumor suppressor gene that has a negative regulatory role in the cell cycle. Kawamoto [11] found that P14ARF gene DNA methylation level is associated with the pathological staging of bladder cancer. The present study investigated the relationship between P14ARF methylation level and primary liver cancer malignant degree by pyrosequencing to provide a basis for liver cancer early diagnosis, prognosis, and treatment.

Material and Methods

Main reagents and instruments

EpiTect Fast DNA Bisulfite Kit (QIAGEN), PyroMark PCR Kit (QIAGEN), PyroMarkCpG Assay 96 well (QIAGEN), PyroMark Q96 ID sequencer (QIAGEN), Trizol (Invitrogen), Real-time PCR kit (Takara), gel-imaging system, ViiA7 real-time PCR amplifier (ABI).

Objects and samples

We enrolled 87 liver cancer patients that needed surgery from Third Xiangya Hospital between Jan 2012 and Oct 2014. All of the selected patients received no radiotherapy or chemotherapy preoperatively. Carcinoma tissues and adjacent tissues that were at least 2 cm away from the cancer edge were collected. Liver cancer staging was according to the international standard of TNM stage. Smoking status was defined as at least 1 cigarette a day for more than 1 year. Drinking status was defined as at least 1 drink per month. The experimental protocol was pre-approved by the ethics committee of our hospital and written consents were obtained from all patients and healthy volunteers.

DNA extraction and Bisulfite modification

Salt fractionation was adopted to extract the whole genome DNA. Sample absorbance of A260/A280 between 1.8 and 2.0 could be used in the subsequent experiment. 2 μg DNA was modified and purified using EpiTect Bisulfite Kit (QIAGEN), according to the manual. Genomic DNA treated by M.SssI methylation transferase and transformed by bisulfite was selected as the positive control (universal methylation, UM) to modify DNA as a template.

P14ATF gene methylation level detection

As previously reported [12], PCR amplification and sequencing primers were synthesized by Shanghai Generay biological engineering co., LTD. PCR primers were as follows: F: TTTATTTGGTTTTTTAGGAAG, R: Biotin-CAAATTCTTAATAACCCTCC, sequencing primers: GTTGGTTTTTTAGTAGTATTAGTA. P14ARF gene target segment was amplified according to the PyroMark PCR Kit instructions. The cycling conditions consisted of an initial, single cycle of 15 min at 95°C, followed by 45 cycles of 30 s at 94°C, 30 s at 56°C, and 30 s at 72°C, and single cycle of 10 min at 72°C. Five μl of amplification product was identified by agarose gel electrophoresis. One chain of the PCR product with biotin was mixed with magnetic beads carrying streptavidin. After separated by vacuum preprocessor, single-stranded DNA was mixed with P14ARF sequencing primer and sequenced in the PyroMark Q96 ID System (Qiagen) sequencer. Three independent experiments were performed.

RNA extraction and P14ARF mRNA detection

Total RNA was extracted by TRIzol. The cDNA was synthesized using reverse transcriptase (TaKaRa), oligo (dT) primers with 1 μg RNA. P14ARF primer was according to Zhang’s report [13]. The primers used are listed in Table 1. Each real-time RT-PCR reaction (in 20 μL) contained 2×SYBR Green Mixture (TIANGEN), 0.5 μL primers, and 0.5 μL template cDNA. The cycling conditions consisted of an initial, single cycle of 10 min at 95°C, followed by 40 cycles of 15 s at 95°C and 60 s at 60°C. PCR amplifications were performed in 3 duplicates for each sample. Gene expression levels were quantified relative to the expression of β-actin using an optimized comparative Ct (ΔΔCt) value method. The differences in gene expression levels between groups were compared using the t test. P values <0.05 were considered statistically significant.
Table 1

RT-PCR primers.

GenePrimer sequence
P14ARFF: GGTTTTCGTGGTTCACATCCCGCG
R: CAGGAAGCCCTCCCGGGCAGC
β-actinF: GGGTCAGAAGGACTCCTATG
R: GTAACAATGCCATGTTCAAT

Statistical analysis

All statistical analyses were performed using SPSS13.0 software (SPSS Inc., USA). Differences between multiple groups were analyzed by t test or one-way ANOVA. Linear regression analysis was used for the trend analysis. Pearson correlation analysis was applied when the double variable complied with normal distribution, inspection level α=0.05.

Results

P14ARF gene DNA methylation comparison

P14ARF gene DNA methylation level in carcinoma tissue was 43.56±3.00%, and it was 20.50±0.67% in adjacent tissue; the paired t test showed that P14 ARF gene DNA methylation level was significantly higher than in the adjacent tissue (t=76.54, P<0.001). When comparing P14ARF gene DNA methylation level in different TNM stages, we found that P14ARF gene DNA methylation level was obviously higher in carcinoma tissue in stage I, II, and III (P<0.001) (Table 2).
Table 2

P14ARF gene DNA methylation level comparison.

TNM stageCasesAdjacent tissue (mean ±SD)%Carcinoma tissue (mean ±SD)%t valueP value
Stage I5120.41±0.7840.32±2.8556.20<0.001
Stage II2020.23±0.5646.78±3.1234.22<0.001
Stage III1621.12±0.4349.86±3.3440.06<0.001
Total8720.50±0.6743.56±3.0076.54<0.001

P14ARF gene DNA methylation correlation analysis with clinicopathological characteristics

As shown in Table 3, P14ARF methylation showed no significant difference in patients with different age, sex, smoking status, or drinking status. It did not present obvious difference in tumors with different sizes. It showed a significant difference among patients in stage I, II, and III by one-way ANOVA analysis (F=76.30, P<0.001). To avoid the interference of possible confounding factors, multiple linear regression results showed that P14ARF methylation level increased following the improvement of TNM stage (P<0.05).
Table 3

P14ARF gene DNA methylation correlation analysis with clinicopathological characteristics.

Clinicopathological characteristicsCasesDNA methylation (Mean±SD)%StatisticsP value
Gender
 Male4543.18±3.341.220.11
 Female4243.97±2.64
Age
 <60 years3643.21±2.970.920.18
 ≥60 years5143.81±3.02
Smoking
 Yes1944.23±3.121.100.14
 No6843.37±2.97
Drinking
 Yes7243.33±3.141.530.07
 No1544.67±2.78
Tumor size
 ≥5 cm3044.01±2.851.020.16
 <5 cm5743.32±3.08
TNM stage
 Stage I5140.32±2.8576.30<0.001
 Stage II2046.78±3.12
 Stage III1649.86±3.34

P14ARF gene mRNA expression

Real-time PCR was used to detect P14ARF mRNA expression level (Figure 1). Compared with the adjacent tissue, P14ARF mRNA expression decreased by about 31% in carcinoma tissue (t=28.91, P<0.001). One-way ANOVA results revealed that P14ARF mRNA level was different in patients with different TNM stage (F=24.15, P<0.001). Linear regression analysis suggested that its level reduced gradually following TNM staging increase (P<0.05).
Figure 1

P14ARF gene mRNA expression (A) and DNA methylation level (B) in patients with different TNM stages. * p<0.01 compared with stage I.

The correlation between P14ARF gene mRNA expression and DNA methylation level

Pearson correlation analysis indicated that P14ARF methylation showed a significant negative correlation with mRNA expression in cancerous tissue (r=−0.43, P<0.01). Following the P14ARF gene methylation level increase, P14ARF mRNA expression declined gradually, suggesting that P14ARF mRNA expression changes in primary liver cancer might be regulated by DNA methylation.

Discussion

Epigenetics is a concept corresponding to genetics, which mainly includes DNA methylation, histone covalent modification, and RNA editing. Abnormal DNA methylation is closely related to tumor occurrence, such as lung cancer [14], gastric cancer [15], and colorectal cancer [16]. It is even closely associated with tumor prognosis [17]. Thus, more and more researchers committed to DNA methylation for tumor early diagnosis and treatment. There were numerous DNA methylation detection methods, mainly including methylation-specific PCR, methylation fluorescence PCR, and bisulfite sequencing PCR. However, the abovementioned methods can only detect qualitative, semi-quantitative, or relative quantitative levels of DNA methylation. Pyrosequencing is a technique based on DNA sequence analysis [18] that could be used for accurate DNA methylation quantification. Thus, it is the criterion standard for DNA methylation analysis. P14ARF gene is a tumor suppressor gene located on short arm 21th segment of chromosome 9. It codes a 14 kD protein that can bind with MDM2 protein to speed its degradation, further stabilize p53 protein, and play a role as cell cycle check point [19]. Therefore, this study aimed to investigate the relationship between P14ARF methylation level and primary liver cancer TNM staging by pyrosequencing. The results showed that P14ARF methylation level in the cancer tissue was significantly higher than that of adjacent tissue, while P14ARF mRNA level was reduced in cancerous tissue compared with the adjacent tissue and exhibited a negative correlation with DNA methylation. This indicates that P14ARF gene DNA methylation is associated with primary liver cancer occurrence. P14ARF gene mRNA expression in carcinoma tissues could be affected by DNA methylation, which is consistent with previous results. Zhang et al. used methylation-specific PCR to detect P14ARF gene DNA methylation level in liver cancer tissue and found that P14ARF DNA methylation level in liver cancer tissue (53.3%) was higher than in normal tissue (33.3%) [13]. DNA methylation level increase may cause P14ARF gene expression silencing. Many other studies also suggested that P14ARF methylation was higher in liver cancer tissue than in normal tissue [20-23]. The meta-analysis results reported by Li indicated that primary liver cancer risk was associated with P14ARF gene DNA methylation level [24]. All of these research results revealed that P14ARF gene DNA methylation may be associated with primary liver cancer occurrence. Our study found that P14ARF gene DNA methylation level in carcinoma tissue was gradually up-regulated following the improvement of TNM staging, suggesting that P14ARF gene DNA methylation might be associated with TNM stage, malignant degree, and prognosis. However, Anzola reported that P14ARF gene DNA methylation showed no association with TNM staging [23]. They analyzed the correlation between cancer tissue differentiation degree and DNA methylation, and used methylation-specific PCR method. These may cause the different results of the 2 studies.

Conclusions

To the best of our knowledge, this study is the first to use pyrosequencing to analyze the correlation between P14ARF gene DNA methylation and primary liver cancer. Compared with the previous study, we applied a more accurate method for analysis. However, since only 87 cases were included, further studies with larger sample sizes are needed to determine whether the P14ARF gene can be used as a biomarker for primary liver cancer early diagnosis and prognosis evaluation.
  24 in total

Review 1.  Fundamentals of pyrosequencing.

Authors:  Colleen T Harrington; Elaine I Lin; Matthew T Olson; James R Eshleman
Journal:  Arch Pathol Lab Med       Date:  2013-09       Impact factor: 5.534

2.  Differential methylation of the promoter and first exon of the RASSF1A gene in hepatocarcinogenesis.

Authors:  Surbhi Jain; Lijia Xie; Batbold Boldbaatar; Selena Y Lin; James P Hamilton; Stephen J Meltzer; Shun-Hua Chen; Chi-Tan Hu; Timothy M Block; Wei Song; Ying-Hsiu Su
Journal:  Hepatol Res       Date:  2014-12-09       Impact factor: 4.288

3.  Promoter hypermethylation of p14 (ARF) , RB, and INK4 gene family in hepatocellular carcinoma with hepatitis B virus infection.

Authors:  Ji-Cai Zhang; Bo Gao; Zong-Tao Yu; Xiao-Bo Liu; Jun Lu; Fei Xie; Hai-Jun Luo; Hai-Ping Li
Journal:  Tumour Biol       Date:  2013-11-20

4.  Promoter methylation assay of SASH1 gene in hepatocellular carcinoma.

Authors:  Liu Peng; He Wei; Li Liren
Journal:  J BUON       Date:  2014 Oct-Dec       Impact factor: 2.533

5.  p16INK4a and p14ARF methylation as a potential biomarker for human bladder cancer.

Authors:  Ken Kawamoto; Hideki Enokida; Takenari Gotanda; Hiroyuki Kubo; Kenryu Nishiyama; Motoshi Kawahara; Masayuki Nakagawa
Journal:  Biochem Biophys Res Commun       Date:  2005-11-22       Impact factor: 3.575

6.  ARF promotes MDM2 degradation and stabilizes p53: ARF-INK4a locus deletion impairs both the Rb and p53 tumor suppression pathways.

Authors:  Y Zhang; Y Xiong; W G Yarbrough
Journal:  Cell       Date:  1998-03-20       Impact factor: 41.582

7.  Pyrosequencing assays to study promoter CpG site methylation of the O6-MGMT, hMLH1, p14ARF, p16INK4a, RASSF1A, and APC1A genes.

Authors:  Zarah M Löf-Ohlin; Torbjörn K Nilsson
Journal:  Oncol Rep       Date:  2009-03       Impact factor: 3.906

8.  Promoter hypermethylation of the p16 gene is associated with poor prognosis in recurrent early-stage hepatocellular carcinoma.

Authors:  Eunkyung Ko; Yujin Kim; Sung-Joo Kim; Jae-Won Joh; SangYong Song; Cheol-Keun Park; Joobae Park; Duk-Hwan Kim
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-08-22       Impact factor: 4.254

Review 9.  Epigenome engineering in cancer: fairytale or a realistic path to the clinic?

Authors:  Fahimeh Falahi; Agustin Sgro; Pilar Blancafort
Journal:  Front Oncol       Date:  2015-02-06       Impact factor: 6.244

10.  Poor survival is associated with the methylated degree of zinc-finger protein 545 (ZNF545) DNA promoter in gastric cancer.

Authors:  Jingyu Deng; Han Liang; Guoguang Ying; Qiuping Dong; Rupeng Zhang; Jun Yu; Daiming Fan; Xishan Hao
Journal:  Oncotarget       Date:  2015-02-28
View more
  1 in total

1.  Systematic Review and Meta-Analysis on the Association between Polymorphisms in Genes of IL-12 Signaling Pathway and Hepatocellular Carcinoma Risk.

Authors:  Yao Xiao; Guodong Liu; Liansheng Gong
Journal:  J Cancer       Date:  2018-09-08       Impact factor: 4.207

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.