alexa Evaluation of DNA Methylation of MAP9 Gene in Breast Cancer as Epigenetic Biomarker | OMICS International
ISSN-2155-9929
Journal of Molecular Biomarkers & Diagnosis
Like us on:
Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business

Evaluation of DNA Methylation of MAP9 Gene in Breast Cancer as Epigenetic Biomarker

Mina Dehbid1*, Seyed Ahmad Aleyasin1 and Hamidreza Vaziri2

1Medical Biotechnology Division, National Institute of Genetic Engineering and Biotechnology (NIGEB), Iran

2The University of Guilan, Rash, Guilan, Iran

*Corresponding Author:
Mina Dehbid, M.Sc
The National Institute of Genetic Engineering and Biotechnology
Shahrak-e Pajoohesh, km 15, Tehran - Karaj Highway
Tehran, Iran, P.O. Box: 14965/161, Tehran, Iran
Tel: (+98) 21 44787301-27 (+98) 21 44787396, 98
Fax: (+98) 21 44787399
E-mail: [email protected]

Received date: December 31, 2015; Accepted date: January 28, 2016; Published date: January 30, 2016

Citation: Dehbid M, Aleyasin SA, Vaziri H (2016) Evaluation of DNA Methylation of MAP9 Gene in Breast Cancer as Epigenetic Biomarker. J Mol Biomarkers Diagn S8:015. doi:10.4172/2155-9929.S8-015

Copyright: © 2016 Mina Dehbid, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Molecular Biomarkers & Diagnosis

Abstract

Background: Recent findings indicate epigenetic modifications as key factors in breast carcinogenesis. The abnormal methylation patterns of genes are among the consequences of epigenetic changes. The DNA methylation is involved in the regulation of gene activity and abnormal DNA methylation is associated with various diseases, including cancer. Due to the importance of epigenetics in cancer, particularly breast cancer, it seems to perform the most effective methods of prediction, detection and tracking of recurrence, and the availability of suitable biomarkers. In this study, the MAP9 (Microtubule-Associated Protein 9) gene methylation was examined as an epigenetic biomarker of cancer.

Methods: We evaluated 30 breast cancer samples and 30 normal samples to identify diagnosis biomarkers for breast cancer. Sample of breast cancers were identified, with different Clinical and pathological data, which might be related with changes in MAP9 gene methylation. DNA was extracted from whole blood of breast cancer patients and healthy samples. The methylation-sensitive restriction enzymes were used to identify methylated site in epigenetic marker. Methylation-sensitive enzyme cannot cut hypermethylated sequences. Methylation-sensitive enzyme is not capable of cutting sequences of MAP9 gene, thus replication occurs.

Results: MAP9 gene is significantly hypermethylated in breast cancer (P<0.05). Moreover the results of this study indicated that there was no relation between stage of disease, age of patients, Estrogen Receptor (ER), Progesterone Receptor (PR), and human epidermal growth factor 2 (HER2) status and the methylation of MAP9 gene in breast cancer samples (P>0.05).

Conclusion: In this study indicated MAP9 gene methylation changes in breast cancer and it can be used as molecular biomarker for breast cancer diagnosis.

Keywords

Breast cancer; Methylation; MAP9 gene; Methylation sensitive restriction enzymes

Introduction

Cancer is abnormal cell divisions without control and ability to invade other tissues. Most cancers are named for the organ or type of cell in which they start [1]. Breast cancer is a type of cancer that starts in the breast tissue. The causes are unknown, although there are some evidence that epigenetic factors may be one of the risk factors for breast cancer [2].

The modern definition of epigenetics is the study of heritable changes in gene expression that are not caused by changes in DNA sequence [3]. DNA methylation of the epigenetic mechanisms involved in numerous phenomena such as parental imprinting, Growth and embryonic differentiation, X Chromosome inactivation and inhibition of gene transcription [4-6]. The methyl group (CH3) is transfered from S-adenosylmethionine (SAM) to CPG dinucleotide on the 5-carbon position of cytosine by methyltransferases [7]. DNA Methylation occurs in intragenic, intergenic, 5› gene upstream and 3› gene downstream regions, which create a pattern of DNA methylation in genome [8].

Many studies have shown that methylation pattern abnormalities lead to the creation of cancer [9], and hypermethylation and hypomethylation of DNA happen in early and developing stages of various types of cancers. They can be considered as epigenetic biomarker of cancer in the human DNA [10,11]. In other words, cancer biomarker refers to indication of the presence of cancer in the body [12]. In cancer research and medicine, usage of biomarkers is including: Diagnosis (to help diagnose conditions, as in the case of identifying early stage cancers); Prognosis (to indicate how aggressive a condition is, as in the case of determining a patient’s ability to fare in the absence of treatment); Prediction (to predict how well a patient will respond to treatment) [13].

Genetics, epigenetics, proteomics and glycomics can be used for cancer biomarkers [12]. In this study, we examined the Microtubule-Associated Protein 9 (MAP9) gene methylation as an epigenetic biomarker of cancer. Human MAP9 gene is also called ASAP, which is located on chromosome 4q32.1 and on the negative strand DNA [14]. The gene encodes MAP9 protein that it’s C-terminal is associated with α-tubulin at all phases of the cell cycle. MAP9 protein is required for spindle function, bipolar spindle assembly, mitotic progression, and cytokinesis. It may also serve to stabilize interphase microtubules [15-17].

Accurate transfer of genetic information plays essential roles for the survival of living organisms. DNA damage is induced by endogenous or exogenous factors. The tumor suppressor protein p53 is a central regulator of cell cycle arrest and apoptosis in the response to genotoxic stress. The inappropriate p53 activation is prevented through a network of tight controls in unstressed cells. The p53 protein is rapidly stabilized and activated by various mechanisms under stress conditions, and also these mechanisms including enhanced MDM2 degradation and posttranslational modifications of p53 and MDM2 [18-20]. In response to DNA damage, N-terminal domain of MAP9 interacts with p53 which it helps to stabilize p53, as well as increment in p53- dependent transcription [21]. MAP9 stabilizes P53 by reducing MDM2 and also induction of p300-dependent p53 acetylation. MDM2 is an intermediate to ubiquitination and degradation of p53. Recent studies have shown that the MAP9 as a DDR component may participate in the regulation of P53-MDM2-P300 cycle (Figure 1) [22]. Heyn et al., has shown that there are high differences in methylation between normal and breast cancer samples in several genes such as MAP9. The map 9 gene methylation was investigated by Infinium DNA methylation Beadchip techniques. Moreover, this study demonstrated the MAP9 gene hypermethylation pattern in breast cancer [23]. Basbous, et al. (2014) examined on 26 patients with colorectal cancer. It has been demonstrated that low expression of map 9 is pathogenic and can be an important prognostic marker. Thus, the protein has the potential to be a tumor marker for colorectal cancer. In addition, this gene can be used as targets for the development of cancer treatment methods [24].

molecular-biomarkers-diagnosis-signaling-pathway

Figure 1: MAP9 signaling pathway; MAP9 in response to DNA damage, provides stabilization of P53 with two main pathway. MAP9 leads to reduction in the MDM2, and the other side, leads to the sta bilization of the p53 with p300- mediated acetylation [22].

Materials and Methods

Sample collection

Breast cancer is more common in females, so sampling was performed among women. In this regard, control samples were obtained from thirty healthy women. Breast cancer samples were from thirty women that were hospitalized at Imam Khomeini Hospital in 2013. Whole blood samples (Tubes containing EDTA) were collected from all cases before breast biopsy and stored at -70°C. Due to clinical factors such as age, stage of disease and bio-markers such as ER, PR and HER2 at evaluation of the clinical course, prognosis and also determination the type of treatment for breast cancer play a key role. Information of all patients for these factors was collected in order to assess their correlation to the results of the study. This research project was performed at the National Institute for Genetic Engineering and Biotechnology (NIGEB) in Tehran, Iran.

DNA isolation

DNA was extracted from 200 μl of archived whole blood of each subject by MBST DNA extraction Kit. DNA purity and concentration are measured by Nano Drop spectrophotometer at a wavelength of 280/ 260 nm.

Restriction endonuclease quantitative PCR (RE-PCR)

A variety of methods have been described for detecting DNA with CPG island methylation changes in bodily fluids. Restriction endonuclease quantitative PCR method was used in this study [25]. This method makes it possible to quantify the amount of methylated DNA in each sample and to detect a methylated MAP9 allele.

Briefly, DNA was extracted from whole blood samples, digested with a methylation-sensitive enzyme, PmCa1. It recognizes CACGTG sequence and cuts the CAC↓GTG sequence, although cleavage site is blocked by methylation. It means that the enzyme does not cut the methylated form of CA5mCGTG sequence. The DNA sample without CA5mCGTG, the DNA is cut thus PCR products were not detected after the amplification. 200 ng of DNA was incubated at 37°C for overnight (To ensure complete digestion) with 0.5 μl of restriction enzyme, 1 μl 10XL Buffer (Takara) and sterilized distilled water to give a final reaction volume of 10 μl.

For patients and control samples, PCR amplification was done on untreated DNA and DNA treated with the restriction enzyme PmCa1 (Takara) using the protocol. All PCR reactions were performed in a lightcyclerTM system (Corbett Real-Time Thermal) using specific primer set (5’primer: 5’TAC AAT TCC AGG CAC TCT TCC A; 3’primer: 5’ AGA ACC CTG TTT CCG ACT GC) which brackets one PmCa1 recognition sites.

PCR was performed with following these conditions: 95°C for 5 minutes followed by 35 cycles of 95°C for 45 seconds, 59.2°C for 30 seconds, 72°C for 30 seconds, and 72°C for 7 minutes. The 20 μl reaction mixture, consisting of DNA (50 ng), 0.5 μl of forward and reverse primer (10 pmol/μl) and 10 μl of Taq 2x master mix were used in PCR.

Real-Time PCR was performed with following these conditions: 95°C for 30 seconds followed by 40 cycles of 95°C for 5 seconds, 59.2°C for 30 seconds, and 72°C for 30 seconds. The 15 μl reaction mixture, consisting of DNA (50 ng), 0.5 μl of forward and reverse primer (5 pmol/ μl) and 7.5 μl of SYBR® Premix Ex Taq II (2X) were used in Real-Time PCR. In each reaction set, water blank used as a negative control. 4-fold dilution series (1-0.001 ng) of determined DNA concentrations (50 ng) was used to make a standard curve (interpolation to standard curves to create linear values). The initial amount of DNA was estimated by calculation of CT value derived from the standard curve. Methylation index was calculated as following:

Methylation index= {Ct value of DNA which treated with PmCa1} - {Ct value of DNA which not treated with PmCa1}.

Statistical Analysis

The primitive data from Real time RT-PCR analyzed with LinReg software which estimates the efficiency and Crossing Threshold (CT) for each reaction. The SPSS version 21.0 software (Chicago, SPSS Inc) was used for statistical analysis. Differences in CPG island methylation of MAP9 gene between 30 breast cancer samples and 30 normal samples were analyzed by T-test. It is done to assess the feasibility of using MAP9 methylation as a biomarker for the diagnosis of breast cancer in the blood. Information about stages of disease, age, PR, ER and Her 2 patients were collected, and their association to the MAP9 methylation was analyzed by One-Way Analysis of Variance (ANOVA). P value <0.05 was accepted as a statistically significant.

Results

The difference in methylation between normal and breast cancer by PCR

Initially, equal amounts of extracted DNA (50 ng) from normal samples and breast cancer samples treated with PmCa1 enzymes. Then, treated DNA and untreated DNA with enzymes used as a template for PCR. In the case of methylation’s study region, the enzyme is not able to cut it. PCR products were electrophoresed on a 1.8% agarose gel, stained with ethidium bromide, and photographed using Gel-doc system (Figure 2). Results of experimental study demonstrate hypermethylation of the study region in MAP9 gene for breast cancer patients.

molecular-biomarkers-diagnosis-gene-methylation

Figure 2: RE-PCR analysis of MAP9 gene methylation in normal samples and breast cancer samples. 1.8% agarose gel electrophoresis was used for MAP9 gene PCR products in treated and untreated breast cancer samples and normal samples with PmCa1 enzymes. L represents the 100 bp Ladder and NTC is negative control. PCR products were shown in DNA treated with enzyme and DNA not treated with enzymes either in normal samples and breast cancer samples. It shows that treated DNA in breast cancer samples has more PCR products than treated DNA in normal samples. Thus the studied region in breast cancer is hypermethylated.

Real-time PCR validation

Real-Time PCR is used to study more closely of MAP9 gene methylation and to find the difference in methylation between normal and breast cancer in RE-PCR technique. In order to perform quantification analysis of DNA for both treated MAP9 gene and untreated MAP9 gene, real-time PCR assay based on LightCycler technology and LinReg PCR software are used. Both amplification and melting curves are demonstrated for MAP9 gene with negative control in Figures 3 and 4. Moreover, the product of Real-Time PCR was verified for each reaction by electrophoresis (Figure 5).

molecular-biomarkers-diagnosis-negative-control

Figure 3: The amplification curves of MAP9 gene and negative control.

molecular-biomarkers-diagnosis-melting-curve

Figure 4: The melting curve of MAP9 gene and negative control.

molecular-biomarkers-diagnosis-agarose-gel

Figure 5: Real-time PCR product of MAP9 gene confirmed by electrophoresed on 1.8% agarose gel (Lane right to left: ladder 100bp, Negative control and 200bp MAP9, respectively).

MAP9 amplification was detected in all normal and breast cancer samples. Mean value comparison of ΔCT (which is = treated-untreated) between normal and patient samples were statistically analyzed by using the SPSS software. A significant difference (P-value <0.05) in MAP9 gene methylation was observed between patient and normal samples.

The ΔCT’s mean value of the control group showed a greater amount than the patient group, so that gene amplification between enzyme-treated normal samples and enzyme-untreated normal samples is considerable.

Amplification discrepancy indicates differences in the amount of the enzymatic digestion in normal and breast cancer samples, owing to the fact that PmcA1 enzyme is sensitive to methylation and methylated region prevents the enzyme cleavage. Lack of enzyme cleavage leads into gene amplification, thus enzyme cleavage decline indicates hypermethylation of the studied region in breast cancer (Figure 6).

molecular-biomarkers-diagnosis-Mean-comparison

Figure 6: Mean comparison of ΔCT between normal and breast cancer samples. There is significant difference between the two groups (P-value <0.05).

Clinical and Pathological Data

The age range of normal samples was consisting of 18-59 years old person and the age range of breast cancer samples was 28-80 years old patients. Stage I (13.3%), II (53.3%) and III (33.3) were diagnosed by pathology examination in the patients. Approximately, patients with breast cancer were 50% HER2+, 63% ER+, and 60% PR+. Clinical and pathological data of the breast cancer patients are showed in Table 1.

Clinic Pathological Features Breast Cancer Patients  (%n)
Age  
<50 years 17(56.7)
≥50 years 13(43.3)
Stage  
I 4(13.3)
II 16(53.3)
III 10(33.3)
Estrogen Receptor (ER)  
positive 19(63)
negative 11(37)
Progesterone Receptor (PR)  
positive 18(60)
negative 12(40)
Human Epidermal Growth Factor Receptor-2 (HER2)  
positive
negative
15(50)
15(50)

Table 1: Data of clinic pathological features of 30 breast cancer patients.

Association Between Clinic Pathological Factors and MAP9 Gene Methylation

Study of association between clinic pathological factors and MAP9 gene methylation

In this research the possible relation between MAP9 gene methylation and clinic pathological factors such as age, stage of cancer, HER2, PR and ER were investigated. According to statistical analysis, no significant correlation was observed between ΔCT and clinical factors in patients with breast cancer (P>0.05).

Discussion

Breast cancer is the most commonly detected cancer and the main reason of mortality from cancer among females, which is approximately 23% of the total cancers and 14% of the cancer deaths [26]. In addition, about 123,730 cases of breast cancers are expected to be diagnosed in 2015 [27]. Breast cancer is referred as the silent killer, due to the fact that in the early stages of breast cancer, breast pain and symptoms are usually not significant and sensible [28]. Subsequently, the use of indicative biomarkers of breast cancer in the early stages of the disease, could warn the person.

In order to improve the act of selecting the specific and individual treatments, predictive and prognostic biomarkers of cancer has been developing recently. Furthermore, the development of new methods for the detection of breast cancer is important because it lead to increase survival rate. Ideally, biomarkers obtained by non-invasive techniques which can collect biofluids such as blood. Discovery and use of blood-based epigenetic biomarkers are being developed. One of the reasons of performing blood tests is to identify tumors is that blood cells may have undergone epigenetic changes representative of those present in cancer [29].

In this study, the genomic DNA of white blood cells (i.e. whole blood) from normal samples and breast cancer samples was used based to explore the epigenetic biomarker in breast cancer on blood. The change of CPG region methylation of MAP9 gene in breast cancer was assessed by RE-PCR technique. RE-PCR is a simple two-step method for examining methylation of a region. In first stage, genomic DNA is digested by enzyme, then PCR is performed by primers surrounding region of enzyme recognition site [30,31]. Advantages of this approach include usage of low concentrations of DNA, low experiment steps, limited number of machines used, high accuracy and usage of commercially available enzymes.

According to the previous reports [23], the MAP9 gene in breast cancer showed significant changes in DNA methylation. Our study also showed MAP9 gene is significantly hypermethylated in breast cancer (P<0.05).

In this study the correlation between methylation of MAP9 gene and age of patients, disease stage, the status of the biomarkers such as, ER, PR, and HER2 in 30 breast cancers were evaluated [32].

Stage of disease

Molecular markers could have important applications in staging and the clinical diagnosis breast cancer [33]. Their Usage for cancer staging and personalization of treatment in time of diagnosis can improve patient care [34]. In this study, relation between methylation of MAP9 gene and stage of tumor was investigated and results revealed that the methylation of MAP9 gene was not correlated with the stage of the breast cancer (P>0.05).

Age of patients

The incidence rate of breast cancer increases with age. Seventy-nine percent of new cases and Eighty - Eight percent of death due to breast cancer happened in 50 years old women and older. Reduction of the incidence rate in eighty years old women and older, is probably due to the decrease in the rate of screening [35]. Data analysis in present study indicates no correlation between the methylation of MAP9 gene and age of patients in breast cancer samples (P>0.05).

Breast cancer biomarkers/ER, PR, HER2

One major role of pathology for assessment of breast cancer is specific biomarkers testes such as ER, PR, and HER2 status. These biomarkers can be used in prognosis and prediction [36].

HER2 test can indicate whether the sample is normal or sample has a large amount of protein HER 2 or whether copy number of HER2 gene is excessive. Furthermore, it will help to determine prognosis, situation of the tumor which is includes the aggression of the tumor and finally the best treatment options. Many of the breast cancer tumors contain ER and PR, that they can fuel the growth of breast cancer. Hormone-dependent breast cancer usually responds well to hormone therapy. Knowing whether the cancer cells have estrogen receptors or progesterone receptors can be beneficial to treatment plans [37]. The results of this study indicated that there was no relation between ER, PR, and HER2 status and the methylation of MAP9 gene in breast cancer samples (P>0.05). Further research in larger studied population may be needed to validate our results.

The findings illustrate the influence of MAP9 gene methylation in breast cancer and it can be used as molecular biomarker for breast cancer diagnosis. According to several studies, hyper methylation of genes can reduce their expression [38-41]. Therefore, the hyper methylation of MAP9 gene may lead to decreased of gene expression. It is possible that the decrease in expression of MAP 9 gene in cancer leads to instability of P53. Inhibition of apoptosis in cancer caused, following the non-stabilized P53 that is characteristic of cancer [19,20,22,42-45]. Our research is indicated MAP9 gene is significantly hypermethylated in breast cancer; therefor it could be useful as a biomarker for breast cancer. Moreover our research indicated that there was no relation between stage of disease, age of patients, Estrogen Receptor (ER), Progesterone Receptor (PR), and human epidermal growth factor 2 (HER2) status and the methylation of MAP9 gene in breast cancer samples.

Acknowledgements

This study was supported by a National Institute of Genetic Engineering and Biotechnology (NIGEB(, Tehran, Iran. and University of Guilan, Rasht, Iran.

References

Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Relevant Topics

Recommended Conferences

Article Usage

  • Total views: 8374
  • [From(publication date):
    specialissue-2016 - Dec 15, 2017]
  • Breakdown by view type
  • HTML page views : 8183
  • PDF downloads : 191

Review summary

  1. Camilla
    Posted on Oct 17 2016 at 6:46 pm
    It is a perfectly designed and structured study with authentic results well supported by data. It is crucial that the authors point out to this issue. This study is clearly presented.
 

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version