Literature DB >> 24748968

DNA methylation as an early diagnostic marker of cancer (Review).

Yuanyuan Dong1, Haiyang Zhao2, Haiyan Li3, Xiaokun Li1, Shulin Yang2.   

Abstract

DNA methylation is one of the essential epigenetic mechanisms that are closely correlated with the mechanisms underlying cell growth, differentiation and transformation in eukaryotes. Global changes in the epigenetic landscape are considered to be a hallmark of cancer. The initiation and progression of cancer are mediated through epigenetic modifications along with genetic alterations. Aberrant methylation of promoter regions is an epigenetic abnormality of the human genome that is highly characteristic of cancer. In this review, we aimed to summarize our current understanding of the alterations in the epigenetic landscape and investigate the potential use of DNA and RNA methylation in effective molecular treatment strategies.

Entities:  

Keywords:  DNA methylation; early diagnosis; molecular marker

Year:  2014        PMID: 24748968      PMCID: PMC3990206          DOI: 10.3892/br.2014.237

Source DB:  PubMed          Journal:  Biomed Rep        ISSN: 2049-9434


1. Introduction

Complex diseases, such as malignant tumors and diabetes, are a common occurrence and represent a major public health concern. Despite the significant advances in cancer treatment, the overall cancer-related mortality is ~90%, due to late-stage diagnosis and failure to optimize treatment. Therefore, effective biomarkers for cancer diagnosis are urgently needed. Cancers such as lung, colon and breast cancer are frequently diagnosed at a late stage. Despite intensified efforts focused on improving the survival of cancer patients, only a moderate improvement is generally achieved. Failure of early diagnosis often leads to low treatment efficiency and poor prognosis; thus, the identification of a signal characterizing the early stages of formation and progression of cancer may reduce the incidence of this disease (1). Early findings of clinical studies indicated that early detection may offer a variety of novel efficient and cost-effective opportunities for cancer treatment (2). The mechanisms underlying cancer development are complicated and cancer was originally perceived as a genetic disease. However, it was previously demonstrated that the initiation and progression of cancer involve epigenetic abnormalities, such as DNA methylation, histone modifications, nucleosome positioning and aberrant expression of non-coding RNAs, specifically microRNAs (3–7). The term ‘epigenetics’ was originally used by Waddington in 1939 to describe the causal interactions between genes and phenotype, including alterations in chromatin structure and their effects on gene function. DNA methylation is currently deemed to be one of the essential epigenetic mechanisms (8). Failure of proper maintenance of epigenetic marks may result in inappropriate activation or inhibition of various signaling pathways, leading to disease states, such as cancer. Aberrant DNA hypermethylation often occurs in the promoter regions of specific transcription factors that are involved in the formation and progression of malignant tumors. Accordingly, DNA methylation may be a biomarker of early cancer detection. In this study, we briefly reviewed the correlation between DNA methylation and early disease diagnosis.

2. Epigenetics and DNA methylation

Epigenomes comprise all genome-wide chromatin modifications, including covalent modification of DNA via methylation, histone modifications and regulation of small RNAs. Unlike DNA alterations that may constitute an inheritable mechanism, epigenetics represent a labile and dynamic mechanism for the regulation of cell-specific gene expression patterns, adaptation of response to environmental factors and mediation of disease development. It was demonstrated that epigenomic variability leads to susceptibility to disease, even among individuals with identical genetic information (9). Epigenomes are potentially significant for the comprehensive understanding of cell development, tissue differentiation and disease biogenesis. In general, the process of epigenetics mainly refers to chromatin structure alterations that comprise DNA methylation, histone modifications and RNA interference. DNA methylation and histone modifications may modulate the interaction of cis-acting elements with trans-acting factors and gene expression. Various epigenetic experiments, involving genomic imprinting (10), manner of monoallelic expression (11) and high-throughput sequencing technology (12), are currently available and commonly used to gain insight into this phenomenon. DNA methylation is a common epigenetic modification involving the methylation of 5′-cytosine residues by methyltransferases and is often detected in the dinucleotides of CpG sequences. Approximately 70–80% of the CpG dinucleotides undergo methylation and are referred to as ‘CpG islands’, which are abundant in the human genome (13). Methylation is often localized in promoter regions and occasionally in transcriptional regulatory regions in mammals, plants and even prokaryotes (14,15). A number of studies indicated that DNA methylation is crucial in the regulation of transcriptional silencing and transcription potential (16,17). Aberrant methylation of promoters in eukaryotic cells may lead to silencing of important genes, such as tumor suppressor genes, affecting their related transcriptional pathways and ultimately leading to the development of disease.

3. Process of DNA methylation

DNA methylation may be classified as hyper- and hypomethylation, according to increased and decreased levels of genomic modification, respectively. Hypermethylation is an epigenetic alteration often leading to gene-inactivating deletions and translocations. Hypermethylated cells may exhibit a phenotype of drug-resistance (18) or malignant proliferation. Wu et al (19) demonstrated that 16 genes, including BMP4, POU4F3 and GDNF, are frequently hypermethylated in tumors. The other alteration is hypomethylation (reduced level or loss of methylation compared to that in normal cells). Chromosome remodeling or reactivation of transposable elements was generated via demethylation of exons and introns or repetitive DNA sequences. An increased number of DNA hypomethylation loci in CpGs was shown to increase chromosomal instability and oncogene activation. For example, the hypomethylation of LINE-1 and Alu retrotransposons is frequently associated with lung cancer (20), the hypomethylation of the mesothelin promoter may contribute to the development of malignant mesothelioma (21) and DNA hypermethylation was previously described in peritoneal mesothelioma (22). DNA hypomethylation per se may induce complex disease. However, a single specific mechanism associating DNA hypomethylation with cancer has not yet been identified.

4. Detection methods of disease-associated DNA methylation

Complicated diseases have been associated with the methylation status. Previous studies on cardiovascular and neurodegenerative diseases, by Stenvinkel et al (23) and Obeid et al (24), respectively, reported that DNA methylation is involved in major human pathologies. Investigating the potential and practical methods of DNA methylation is essential for determining whether there is an association between aberrant DNA methylation within CpG-rich sequences and cancer. Several different methods have been proposed for DNA methylation analysis and some of the advantages and disadvantages of the different approaches, particularly concentrating on genome-scale DNA methylation, were outlined based on enzymes combined with PCR methods. Conducting a DNA methylation analysis requires a highly precise and accurate determination of the methylation status. Several methods based on PCR have been developed to evaluate the methylation level of genes. Bisulphite treatment and PCR amplification are used for locus-specific detection. For example, a quantitative methylation-specific PCR assay was developed for high-throughput analysis and a real-time assay for individual methylated targets. Assays of other useful techniques may be applied to genes with 5-methylcytosine (m5C). The distribution of m5C within DNA is unique and may be used for genome-scale methylation analysis (25). For example, restriction landmark genome scanning was the first DNA methylation profiling technique that was widely used in identifying methylated loci in species or in a tissue-specific manner. Chromatin immunoprecipitation, based on microarray or next-generation sequencing, used antibodies or methyl-binding proteins for massive methylated DNA profiling. These powerful approaches provide accurate, reproducible and sensitive data in comprehensive methylation epigenomic and genomic typing.

5. DNA methylation as a biomarker for early cancer diagnosis

As a specific pattern of gene expression in mammals, DNA methylation is essential for tissue development. Abnormal DNA methylation commonly disrupts molecular signaling mechanisms and leads to the development of various diseases, such as cancer. DNA methylation was the first epigenetic alteration to be identified in cancer (26). Therefore, it is considered to be a hallmark of cancer, it is detected in several types of cancer cells, including colon, breast, ovarian and cervical cancer cells and is associated with alterations in specific gene expression.

DNA methylation and cancer

The DNA methylation status is correlated with cancer and the methylation level is inversely correlated with mRNA expression levels. Jin et al (27) reported that the risk of Barrett’s esophagus (BE) progressing into esophageal adenocarcinoma is 30- to 125-fold higher compared to the general population. Methylation assays were performed in 195 subjects with BE to evaluate the methylation levels and frequencies of individual genes, including p16, RUNX3, HPP1, NELL1, TAC1, SST, AKAP12 and CDH13 and five of these genes (NELL1, TAC1, SST, AKAP12 and CDH13) were found to harbour methylated sites (27). In breast cancer patients, the patterns of methylation of the ESR1 and 14-3-3-σ promoters were significantly different compared to healthy controls (28). Glockner et al (29) reported that methylation of the tissue factor pathway inhibitor 2 gene was frequently detected in 171 samples from human colorectal cancers. Therefore, the aberrant methylation or hypermethylation of these promoters led to the dysregulated expression of cancer-related genes, facilitating the development of malignant tumors. In addition to the methylation of cancer-related genes, the genome-wide m5C levels of leukocyte DNA are also independently associated with breast cancer. Choi et al (30) compared 176 breast cancer cases with 173 healthy controls and demonstrated that the m5C levels were significantly lower in breast cancer.

DNA methylation associated with cancer diagnosis

The identification of patients with organ-confined carcinoma is key to early-stage diagnosis of cancer. Common organ-confined cancers, such as lung, hepatic, breast, cervical, colorectal and genitourinary tract cancers, result in patient death due to the lack of effective clinical diagnosis. In these cancers, the methylation of the promoter regions of tumor suppressor genes, such as CDH1, APC, MGMT, RASSF1A, GSTP1, p16 and RAR-β2, affect the activity of tumor suppressor genes, typically leading to transcriptional silencing. A number of important genes that undergo silencing interfere with important cancer-related cell pathways. Thus, the aberrant methylation of the promoters of cancer-related genes may be deemed as a potential biomarker contributing to early cancer detection and prediction of prognosis. A series of novel DNA methylation biomarkers in the plasma and stool were developed for various detection purposes. Vimentin is transcriptionally silent in normal epithelia and aberrant vimentin expression has been used as a cancer marker in fecal DNA testing (31). In 2005, vimentin was licensed by the US Food and Drug Administration (FDA) for colorectal cancer (CRC) diagnosis. Another CRC-related gene, SEPT9, is commonly detected in the plasma of patients with primary CRC and was submitted to the FDA for marketing application in 2010 as a molecular marker for early clinical stage CRC. SEPT9 as a DNA methylation biomarker was also associated with breast cancer; Gonzalez et al (32) indicated that increased SEPT9 expression may contribute to the pathogenesis of certain types of breast cancer. Another potential biomarker for breast cancer is the methylation of PITX2. The evaluation of the PITX2 methylation status among different breast cancer patient populations successfully increased the outcome prediction performance. Harbeck et al (33) investigated PITX2 methylation in 399 breast cancer specimens and identified low-risk patients with hormone receptor-positive and node-negative disease. Hartmann et al (34) also analyzed the DNA methylation levels of PITX2 in 241 breast cancer specimens and concluded that methylation of PITX2 was correlated with clinical outcome. Hrasovec et al (35) reported that the alterations of CpG sites in TMEM25 were correlated with CRC, with TMEM25 hypermethylation possibly playing a significant role in altering the expression of this gene in CRC.

6. Conclusion

The elucidation of the mechanisms that underlie DNA methylation changes in cancer cells may help identify a number of cancer-specific methylation markers, assisted by promising detection methods, ultimately resulting in optimized clinical applications. The realization that DNA methylation may be involved in human malignancies and is ubiquitous in human diseases is likely to promote the development of novel diagnostic, preventive and therapeutic strategies. The association between methylation and heredity is currently an emerging research topic. The presence of modified m5C affecting the phenotype of the offspring may be parentally inherited. Carone et al (36) indicated that parental diet may affect cholesterol and lipid metabolism in the offspring, defined a model system to study the environmental reprogramming of the heritable epigenome and concluded that epigenetic information may be inherited and represents environmental information. In another aspect, epigenetic information is one of the main areas of interest for the development of non-invasive prenatal diagnosis. Papageorgiou et al (37) reported the presence of epigenetic differences between placental and peripheral blood and identified a large number of previously unreported fetal epigenetic molecular markers that have the potential of being developed into targets for non-invasive prenatal diagnosis. Zhao et al (38) considered hypermethylated RASSF1A to be an epigenetic marker for the detection of fetal DNA in maternal plasma. Epigenetic information passed from parent to offspring and DNA methylation from gametes was shown to be predominantly maternal (39). Similar mechanisms maintaining the imprinted and non-imprinted methylation passed on from the mother represent an interesting focus of investigation and may be clinically applied for non-invasive prenatal diagnosis. Wang et al (40) recently reported that the hypermethylation status of the testis derived transcript gene promoter may represent a valuable prognostic marker for glioblastoma. The modified DNA m5C that extensively occurs within the genome was extensively investigated over the last few decades; however, numerous putative methylated RNAs have been identified and characterized, regarding location, mechanism of formation and cellular function (41). Additional characterization of specific RNA methyltransferase enzymes and the association between DNA and RNA methylation is yet to be investigated (42). In eukaryotes, the majority of m5C methyltransferases are predicted to be nuclear or nucleolar proteins, which corresponds well to their functions in tRNA and rRNA processing (Fig. 1) (43). The expression of the human Trm4 (hTrm4) cDNA in yeast was identified, the first human gene encoding tRNA methylase responsible for the methylation of hTrm4 (44). Various regulatory RNAs, coding RNAs and newly discovered RNAs obtained based on high-throughput sequencing techniques may help elucidate the mechanisms of epigenetics (45).
Figure 1

5-Methylcytosine (m5C) DNA and RNA residues in eukaryotes.

  45 in total

1.  Paternally induced transgenerational environmental reprogramming of metabolic gene expression in mammals.

Authors:  Benjamin R Carone; Lucas Fauquier; Naomi Habib; Jeremy M Shea; Caroline E Hart; Ruowang Li; Christoph Bock; Chengjian Li; Hongcang Gu; Phillip D Zamore; Alexander Meissner; Zhiping Weng; Hans A Hofmann; Nir Friedman; Oliver J Rando
Journal:  Cell       Date:  2010-12-23       Impact factor: 41.582

2.  Genomic imprinting determines methylation of parental alleles in transgenic mice.

Authors:  W Reik; A Collick; M L Norris; S C Barton; M A Surani
Journal:  Nature       Date:  1987 Jul 16-22       Impact factor: 49.962

3.  Methylation of TFPI2 in stool DNA: a potential novel biomarker for the detection of colorectal cancer.

Authors:  Sabine C Glöckner; Mashaal Dhir; Joo Mi Yi; Kelly E McGarvey; Leander Van Neste; Joost Louwagie; Timothy A Chan; Wolfram Kleeberger; Adriaan P de Bruïne; Kim M Smits; Carolina A J Khalid-de Bakker; Daisy M A E Jonkers; Reinhold W Stockbrügger; Gerrit A Meijer; Frank A Oort; Christine Iacobuzio-Donahue; Katja Bierau; James G Herman; Stephen B Baylin; Manon Van Engeland; Kornel E Schuebel; Nita Ahuja
Journal:  Cancer Res       Date:  2009-05-12       Impact factor: 12.701

4.  Hypermethylation of testis derived transcript gene promoter significantly correlates with worse outcomes in glioblastoma patients.

Authors:  Li-jia Wang; Yu Bai; Zhao-shi Bao; Yan Chen; Zhuo-hong Yan; Wei Zhang; Quan-geng Zhang
Journal:  Chin Med J (Engl)       Date:  2013       Impact factor: 2.628

5.  Quantitative detection of methylated ESR1 and 14-3-3-sigma gene promoters in serum as candidate biomarkers for diagnosis of breast cancer and evaluation of treatment efficacy.

Authors:  Joaquina Martínez-Galán; Blanca Torres; Rosario Del Moral; José Antonio Muñoz-Gámez; David Martín-Oliva; Mercedes Villalobos; María Isabel Núñez; Juan de Dios Luna; Francisco Javier Oliver; José Mariano Ruiz de Almodóvar
Journal:  Cancer Biol Ther       Date:  2008-03-20       Impact factor: 4.742

6.  Epigenomic analysis of multilineage differentiation of human embryonic stem cells.

Authors:  Wei Xie; Matthew D Schultz; Ryan Lister; Zhonggang Hou; Nisha Rajagopal; Pradipta Ray; John W Whitaker; Shulan Tian; R David Hawkins; Danny Leung; Hongbo Yang; Tao Wang; Ah Young Lee; Scott A Swanson; Jiuchun Zhang; Yun Zhu; Audrey Kim; Joseph R Nery; Mark A Urich; Samantha Kuan; Chia-an Yen; Sarit Klugman; Pengzhi Yu; Kran Suknuntha; Nicholas E Propson; Huaming Chen; Lee E Edsall; Ulrich Wagner; Yan Li; Zhen Ye; Ashwinikumar Kulkarni; Zhenyu Xuan; Wen-Yu Chung; Neil C Chi; Jessica E Antosiewicz-Bourget; Igor Slukvin; Ron Stewart; Michael Q Zhang; Wei Wang; James A Thomson; Joseph R Ecker; Bing Ren
Journal:  Cell       Date:  2013-05-09       Impact factor: 41.582

7.  Multicenter study using paraffin-embedded tumor tissue testing PITX2 DNA methylation as a marker for outcome prediction in tamoxifen-treated, node-negative breast cancer patients.

Authors:  Nadia Harbeck; Inko Nimmrich; Arndt Hartmann; Jeffrey S Ross; Tanja Cufer; Robert Grützmann; Glen Kristiansen; Angelo Paradiso; Oliver Hartmann; Astrid Margossian; John Martens; Ina Schwope; Antje Lukas; Volkmar Müller; Karin Milde-Langosch; Jörg Nährig; John Foekens; Sabine Maier; Manfred Schmitt; Ralf Lesche
Journal:  J Clin Oncol       Date:  2008-08-18       Impact factor: 44.544

8.  ALKBH5 is a mammalian RNA demethylase that impacts RNA metabolism and mouse fertility.

Authors:  Guanqun Zheng; John Arne Dahl; Yamei Niu; Peter Fedorcsak; Chun-Min Huang; Charles J Li; Cathrine B Vågbø; Yue Shi; Wen-Ling Wang; Shu-Hui Song; Zhike Lu; Ralph P G Bosmans; Qing Dai; Ya-Juan Hao; Xin Yang; Wen-Ming Zhao; Wei-Min Tong; Xiu-Jie Wang; Florian Bogdan; Kari Furu; Ye Fu; Guifang Jia; Xu Zhao; Jun Liu; Hans E Krokan; Arne Klungland; Yun-Gui Yang; Chuan He
Journal:  Mol Cell       Date:  2012-11-21       Impact factor: 17.970

Review 9.  5-methylcytosine in RNA: detection, enzymatic formation and biological functions.

Authors:  Yuri Motorin; Frank Lyko; Mark Helm
Journal:  Nucleic Acids Res       Date:  2009-12-08       Impact factor: 16.971

10.  DNMT1-interacting RNAs block gene-specific DNA methylation.

Authors:  Annalisa Di Ruscio; Alexander K Ebralidze; Touati Benoukraf; Giovanni Amabile; Loyal A Goff; Jolyon Terragni; Maria Eugenia Figueroa; Lorena Lobo De Figueiredo Pontes; Meritxell Alberich-Jorda; Pu Zhang; Mengchu Wu; Francesco D'Alò; Ari Melnick; Giuseppe Leone; Konstantin K Ebralidze; Sriharsa Pradhan; John L Rinn; Daniel G Tenen
Journal:  Nature       Date:  2013-10-09       Impact factor: 49.962

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  16 in total

1.  Combined detection of plasma GATA5 and SFRP2 methylation is a valid noninvasive biomarker for colorectal cancer and adenomas.

Authors:  Xie Zhang; Yu-Fei Song; Hong-Na Lu; Dan-Ping Wang; Xue-Song Zhang; Shi-Liang Huang; Bei-Lei Sun; Zhi-Gang Huang
Journal:  World J Gastroenterol       Date:  2015-03-07       Impact factor: 5.742

2.  MethBank 3.0: a database of DNA methylomes across a variety of species.

Authors:  Rujiao Li; Fang Liang; Mengwei Li; Dong Zou; Shixiang Sun; Yongbing Zhao; Wenming Zhao; Yiming Bao; Jingfa Xiao; Zhang Zhang
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

3.  Nightshift work, chronotype, and genome-wide DNA methylation in blood.

Authors:  Charleen D Adams; Kristina M Jordahl; Wade Copeland; Dana K Mirick; Xiaoling Song; Cassandra L Sather; Karl Kelsey; Andres Houseman; Scott Davis; Timothy Randolph; Parveen Bhatti
Journal:  Epigenetics       Date:  2017-11-27       Impact factor: 4.528

4.  Robust Detection of DNA Hypermethylation of ZNF154 as a Pan-Cancer Locus with in Silico Modeling for Blood-Based Diagnostic Development.

Authors:  Gennady Margolin; Hanna M Petrykowska; Nader Jameel; Daphne W Bell; Alice C Young; Laura Elnitski
Journal:  J Mol Diagn       Date:  2016-02-05       Impact factor: 5.568

5.  Meta-analyses of methylation markers for prostate cancer.

Authors:  Danjie Jiang; Yusheng Shen; Dongjun Dai; Yan Xu; Chunjing Xu; Huangkai Zhu; Tao Huang; Shiwei Duan
Journal:  Tumour Biol       Date:  2014-07-23

6.  Promoter Hypermethylation Profiling Identifies Subtypes of Head and Neck Cancer with Distinct Viral, Environmental, Genetic and Survival Characteristics.

Authors:  Javed Hussain Choudhury; Sankar Kumar Ghosh
Journal:  PLoS One       Date:  2015-06-22       Impact factor: 3.240

7.  Investigation of EZH2 pathways for novel epigenetic treatment strategies in oropharyngeal cancer.

Authors:  Sherif Idris; Cameron Lindsay; Morris Kostiuk; Colin Andrews; David W J Côté; Daniel A O'Connell; Jeffrey Harris; Hadi Seikaly; Vincent L Biron
Journal:  J Otolaryngol Head Neck Surg       Date:  2016-10-28

8.  Identifying DNA methylation in a nanochannel.

Authors:  Xiaoyin Sun; Takao Yasui; Takeshi Yanagida; Noritada Kaji; Sakon Rahong; Masaki Kanai; Kazuki Nagashima; Tomoji Kawai; Yoshinobu Baba
Journal:  Sci Technol Adv Mater       Date:  2016-10-11       Impact factor: 8.090

9.  Integrated analysis of promoter methylation and expression of telomere related genes in breast cancer.

Authors:  Jianfu Heng; Fan Zhang; Xinwu Guo; Lili Tang; Limin Peng; Xipeng Luo; Xunxun Xu; Shouman Wang; Lizhong Dai; Jun Wang
Journal:  Oncotarget       Date:  2017-04-11

10.  Cytochrome P450 1A1 and 1B1 promoter CpG island methylation regulates rat liver injury induced by isoniazid.

Authors:  Yanhui Li; Yuhong Li; Guoying Zheng; Lingyan Zhu; Jishun Wang; Shasha Mu; Qi Ren; Fumin Feng
Journal:  Mol Med Rep       Date:  2017-10-31       Impact factor: 2.952

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