Literature DB >> 21188117

Epigenomics in cancer management.

Fabricio F Costa1.   

Abstract

The identification of all epigenetic modifications implicated in gene expression is the next step for a better understanding of human biology in both normal and pathological states. This field is referred to as epigenomics, and it is defined as epigenetic changes (ie, DNA methylation, histone modifications and regulation by noncoding RNAs such as microRNAs) on a genomic scale rather than a single gene. Epigenetics modulate the structure of the chromatin, thereby affecting the transcription of genes in the genome. Different studies have already identified changes in epigenetic modifications in a few genes in specific pathways in cancers. Based on these epigenetic changes, drugs against different types of tumors were developed, which mainly target epimutations in the genome. Examples include DNA methylation inhibitors, histone modification inhibitors, and small molecules that target chromatin-remodeling proteins. However, these drugs are not specific, and side effects are a major problem; therefore, new DNA sequencing technologies combined with epigenomic tools have the potential to identify novel biomarkers and better molecular targets to treat cancers. The purpose of this review is to discuss current and emerging epigenomic tools and to address how these new technologies may impact the future of cancer management.

Entities:  

Keywords:  DNA methylation; cancer management; epigenetics; epigenomics; genomics; histone modifications; new technologies

Year:  2010        PMID: 21188117      PMCID: PMC3004578          DOI: 10.2147/CMR.S7280

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Sequencing the human genome marked not the end of the field of genomics, but its beginning. Scientists now stand in a unique position in the history of medicine to define human disease, armed with the technological advancements and the data that has resulted from the Human Genome Project.1,2 Using this information, some progress has already been made toward launching individualized and personalized medicine, especially for certain types of cancer. For example, the launch of different types of genetic tests to predict disease (preventive medicine) and the development of the drug imatinib (Gleevec®) for blood tumors3 were major breakthroughs. In addition, biomarkers that are able to subgroup tumors based on aggressivity, thus aiding in clinical decisions, were also identified.4 A precise molecular characterization of human cancers will allow a better understanding of the basis for disease susceptibility and environmental influence, better diagnosis and prognosis, and the refinement of individualized treatment for optimal therapeutic efficacy. Genomes from various individuals have already been sequenced,5,6 allowing genomic comparisons. Projects such as the HapMap7 that identified variations in the human genome, and ENCODE8 that is analyzing the functional elements in the genome, are helping in the understanding of complex disease phenotypes. Such projects have the potential to help elucidate the information encoded by human genomes and aid in the treatment of diseases such as cancer. One of the main issues in genomic science is understanding how gene expression is regulated. To understand the mechanisms that are implicated in gene regulation, the genes that are expressed in each cell type of the body and how changes in their expression will impact in the development of diseases represent major challenges. In addition, environmental factors such as the exposure to chemical compounds during life, smoking, and nutrition can clearly affect and change the expression of genes.9 Thus, in the post-genomic era, studies of how human genes are regulated and the mechanisms that are implicated in this process are of major importance for our understanding of normal processes and diseased states. The information beyond the genome sequence was recently coined as the epigenome.10 The epigenome is defined as the group of modifications that can occur at a genomic level that will not change the sequence of the bases of the DNA but can change the DNA conformation and, as a consequence, change the expression of genes. Epigenetics is the study of these modifications in the DNA.11 The following are the main epigenetic modifications that occur in the DNA molecule: 1) binding of different proteins to the DNA such as histones and methyl-binding proteins, 2) addition of chemical groups in the bases of the DNA such as methyl (CH3), and 3) microRNAs and other noncoding RNAs that can regulate the expression of genes through various mechanisms. While epigenetics has garnered more attention, it is not a new field, and studies dating from the 1980s have shown the promise of using drugs that affect these mechanisms to treat diseases, especially cancers.12,13 In the last decade, we have been facing an overwhelming increase in drugs affecting epigenetic mechanisms that have been developed to treat different types of cancer (see Table 1 and Figure 1). Examples are a growing number of DNA methylation inhibitors, histone modification inhibitors, and small molecules that target chromatin-remodeling proteins. 5-Azacytidine was the first inhibitor of an enzyme implicated in epigenetic modifications described.14 This drug inhibits the DNA methyltransferase (DNMT) enzyme that is responsible for adding methyl groups to cytosines located in both DNA and RNA molecules. Another example of a DNMT inhibitor is 5-aza-2′-deoxycytidine, which is incorporated just in the DNA molecule. The DNA methyltransferase covalently binds to these nucleotide analogs, and this sequestration affects its normal function. These compounds can also affect the way proteins implicated in cell regulation are able to bind to the DNA/RNA substrates. 5-Azacytidine was first tested in myelodysplastic syndrome and leukemia, and it showed promising results in patients with both diseases.15,16 Since 5-azacytydine and other epigenetic drugs are not very specific, side effects are a major problem. A challenge faced by researchers in this field is two-fold: design more specific drugs and drugs that have fewer side effects since they have a global effect in the epigenome of the cells. To overcome this issue, new DNA sequencing technologies (second and third generation) combined with epigenomic tools have emerged. It is becoming clear that these technologies may facilitate the identification of better molecular targets for drug development and biomarker identification for cancer management. In that regard, the main purpose of this review is to discuss the emergence of epigenomic tools derived from new DNA sequencing technologies and how they may affect the management of cancer in the future.
Table 1

Drugs developed using epigenetics and epigenomics tools

DrugMode of actionTypes of cancerReferences
Belinostat1Histone deacetylase inhibitorHematological malignancies and solid tumors71,72
Dacogen®1 or Vidaza®2 and decitabine2DNA methyltransferase inhibitors (5-azacytidine and 5-aza-2′-deoxycytidine)Myelodysplastic syndrome and hematological malignancies. Tests have already started in solid tumors38,73,74
DZNep1 (Deazaneplanocin A)Histone methyltransferase inhibitorAcute myeloid leukemia75
Entinostat1 (MS-275)Benzamide histone acetylase inhibitorBlood and lung tumors72,76
Panobinostat1 (LBH589)Inhibitor of the enzyme histone deacetylase in a mechanism leading to apoptosis of malignant cells via multiple pathwaysCutaneous T-cell lymphoma, chronic myelogenous leukemia, myelodysplastic syndromes, breast cancer, pancreatic cancer, and prostate cancer7779
RG1083Small molecule specifically designed to bind and inhibit the active domain of the DNA methyltransferase 1 enzymeDifferent types of cancer80
CP-42003Molecule conjugated to a lipid chain linked to azacytidine that accelerates cellular uptakeDifferent types of cancer81
S1103Modified and less toxic version of 5-aza-2′-deoxycytidine; DNA methyltransferase inhibitorDifferent types of cancer82
Romidepsin1Natural product that inhibits histone deacetylases and causes cancer cell apoptosisUnder clinical trials to cutaneous T-cell lymphoma, peripheral T-cell lymphoma, and a variety of other cancers83
Valproic Acid2 (Depakote®)Histone deacetylase inhibitorMultiple myeloma, gliomas, and melanoma84
Vorinostat2 (Solinza®)Histone deacetylase inhibitorLymphomas, glioblastoma multiforme, and other solid tumors72,85
Pyroxamide2 (SAHA)Histone deacetylase inhibitorHematological malignancies, prostate cancer, bladder cancer, and neuroblastoma86
Sirtinol and Salermide3SIRT1 protein inhibitorsDifferent types of cancer43,87

Notes: There might be other examples of epigenetic-based drugs under development and/or in clinical trials that were not described here.

In clinical trials;

Approved by the FDA;

Under development.

Figure 1

Epigenomics and cancer therapy. Schematic representation of the three main epigenomic/epigenetic components that are implicated in gene expression control in human cells (blue). Some drugs that are in current use, under development, and in clinical trials for each epigenetic mechanism of gene regulation are shown in green. The drugs presented here are just a representative list for each mechanism, and some drugs under development and in clinical trials at the moment are not shown.

Cancer genomics – now and then

Genomics is defined as the study of entire genomes of organisms, including extrachromosomal DNA such as the mitochondrial genetic material. This field includes intensive efforts to determine the entire DNA sequence of organisms, using fine-scale genetic mapping and DNA sequencing with current and emerging technologies. In contrast, investigating the roles of single genes is a primary focus of genetics. Single gene research does not fall into the definition of genomics unless the aim is to verify the effect that a gene may have on the entire genome’s networks and pathways. Genomics has been the main focus in molecular biology, especially after the completion of the sequencing of genomes from several organisms. Genomics tools have already helped in the understanding of several aspects of the genome of cancer cells when compared to normal controls. One important example is the identification of the gene HER2/neu (ErbB-2), which is an oncogene mapped to human chromosome 17 that is over-expressed, or amplified, in ∼30% of breast cancer tumors.17 Identification of this molecular characteristic culminated in the development of the drug trastuzumab (Herceptin®).18 Breast cancer patients that are HER2/neu (ErbB-2) positive have increased survival rates when treated with this drug.18 One question that has recently emerged after the sequencing of entire human genomes and comparisons between them is ‘What have we learned from sequencing human genomes?’ It is clear that important advances were generated after the sequencing of the first human genome a decade ago. These advancements were mainly applied to basic science such as improvements in DNA sequencing technologies, a decrease in the cost for sequencing the DNA molecule, and also the development of new methods to analyze molecular changes in diseases; for example, there was an increase in the number of predictive and prognostic genetic tests for cancers and other diseases. In contrast, for applied medicine and patients, there have been a disappointingly small number of drugs and therapies that were discovered and developed using genomics tools. Hence, we have learned that the sequence of human genomes is just a starting point to generate and accumulate the basic information needed for more complex and deeper analyses. Recently, cancer genomes were sequenced and compared with normal cells for leukemia, breast, lung, and other tumor types, using second-generation DNA sequencing technologies.19–25 The purpose was to identify mutations that could give rise to new biomarkers and new therapies for these types of cancers. In addition, the 1000 Genome Project was recently launched26 with the objective of sequencing the genome of thousands of individuals in a small period of time. In parallel, companies are starting to provide whole genome sequencing services, with the aim of understanding the individual’s susceptibility for diseases, including different cancers.27 As a result, a large number of individuals will have their genomes sequenced in the years to come. But is this enough to understand how the human cell machinery works and to determine how cancer or any other disease arises? It is likely that the technology will be beneficial to genomic science in the future by paving new ways of approaching diseases, especially cancers. Even though the genomic information will be of importance to identify mutations and other chromosomal abnormalities (ie, insertions or deletions in the genomic DNA of diseased cells), more studies will be necessary to completely understand human genomes. In this regard, the big challenge will be to identify and catalog all the genes that are present in normal cells and their defects (mutations, deletions, insertions, amplifications, fusion proteins, etc) in tumors. There is growing evidence that epigenomics will contribute to this understanding, and in the following sections, I will discuss drugs based on epigenetic mechanisms that are currently in use, in clinical trials, and under development. Furthermore, I will also discuss how this field could aid in the development of better therapies for cancer and in the identification of new biomarkers.

Epigenomics and new therapies

Epigenomics is becoming more important as the technologies for genome-wide epigenetic modification analyses improve. The best-known epigenetic marker is DNA methylation, and some genes are already described with this epigenetic change in different tumor types.28 DNA methylation occurs in normal cells mainly in regions that are intergenic, and loss of methylation (hypomethylation) in these areas was first reported in the 1980s.29 Loss of DNA methylation or global hypomethylation is an early event in cancer, and when it occurs in repetitive regions of the genome, the consequences can be chromosomal instability, as previously described.30 On the other hand, gain of DNA methylation (hypermethylation) in the promoter region of different genes can lead to a decrease in the expression of this gene (also known as downregulation) and can be one of the causes for cancer development.31 It is hypothesized that DNA methylation may affect gene expression by blocking transcription after methyl-binding and other proteins form a complex that blocks the access for transcription factors to the gene promoter.32 However, there are other models suggesting that DNA methylation is the consequence instead of the cause of gene inactivation.33 In this case, defects in the transcription factors such as mutations will leave promoter regions ‘opened’ and more susceptible to the action of the DNMTs.33 Consequently, these regions of the DNA will be methylated.33 Different genes are already described as hypermethylated in the initiation and progression of several types of tumors.34 The enzymes responsible for the control of DNA methylation in eukaryotic cells are the DNMTs.35 There are three enzymes already described: DNMTs 1, 2, and 3. However, DNMT1 may be the most important, especially in diseases such as cancer.36 Different types of drugs that target DNMTs have already been developed. The idea behind using a drug that blocks the enzymes that control DNA methylation is that in cancer, there is an increase in their activity.37 Drugs that block DNMTs include 5-azacytidine, 5-aza-2′-deoxycytidine, small molecule inhibitors, and others (see Table 1 for more details). 5-Azacytidine (Vidaza®) was approved by the Food and Drug Administration (FDA) since it increased the survival of patients with myelodysplastic syndrome, and many patients on Vidaza became transfusion independent, showing the potential for this type of therapy.38 Histone marks were recently described as an important epigenetic modification to control gene expression in normal cells.39 Histone modifications, such as methylation, acetylation, ADP-ribosylation, ubiquitination, phosphorylation, and others, to histone tails alter chromatin structure. However, a complete understanding of the precise molecular mechanisms by which these alterations to histone tails influence DNA-histone interactions remains elusive. There are two main hypothesis on how histone modifications can affect chromosome function: 1) they may alter the electrostatic charge of the histone, resulting in a structural change in histones or their binding to DNA; or 2) these modifications are binding sites for protein recognition motifs, such as the bromodomains or chromodomains, that recognize acetylated lysines or methylated lysines, respectively.40 The existence of these modifications and recognition motifs led to the ‘histone code’ hypothesis proposed by Strahl and Allis.41 Overall, post-translational modifications of histones create an epigenetic mechanism for the regulation of a variety of normal and disease-related processes, including cancers. Drugs affecting histone modifications have been already developed and showed promising results in the treatment for different tumor types (see Table 1 for more details). Based on this knowledge, different types of histone deacetylase inhibitors, DNMT inhibitors, and small molecules that block enzymes that are implicated in these epigenetic mechanisms have been developed. In addition, combining conventional therapies to drugs that affect epigenetic mechanisms is becoming common. For example, clinical trials using a combination of DNMT inhibitors with conventional chemotherapy were well tolerated in cancer patients and showed encouraging results when compared with chemotherapy alone.42 Drugs targeting chromatin and nucleosome remodeling proteins are also a promising therapeutic strategy to treat human cancers (Table 1). Some of these proteins are deregulated in cancer, such as sirtuin 1 (SIRT1). It was recently shown that targeting this protein with drugs such as Salermide or Sirtinol can lead to the reactivation of pro-apoptotic genes that are epigenetically repressed exclusively in cancer cells.43 These drugs are also promising as an anticancer agent, providing molecular evidences that SIRT1 might be involved in human tumorigenesis.43 Chromatin-remodeling proteins are important for proper gene expression, and new drugs targeting these proteins will be developed generating more effective therapies against cancer. All the epigenetic/epigenomic mechanisms and some of the drugs that have been tested for cancer therapies are represented in Figure 1.

The impact of new technologies on cancer research

Second-generation DNA sequencing technologies have been used to identify and detect genetic and genomic changes in tumors when compared with normal cells. In the epigenomics field, these technologies have been helpful in identifying regions of the DNA that are differentially methylated and have different histone marks.44 The identification of proteins that are responsible for wrapping the nucleosome of tumor cells was also possible44 (see Table 2). The development of new technologies to study cancer epigenomes will be crucial for the identification of defects in tumor cells.
Table 2

Different types of technologies to uncover epigenomic changes in cancer

Method(s)DescriptionExamplesReferences
Gene-by-gene analysesDifferent methods that are used to evaluate methylation status of gene promoters. The most utilized technology is based in sodium bisulfite treatment that converts unmethylated citosines to uracil by deamination. Methylation changes are easily detected using this method after DNA sequencing. Other methods include digestion with MSRE and antibodies against methyl-binding proteins that can be used to detect specific methylation changes.MSRE digestion, bisulfite sequencing, MSP, MethyLight, and others45,46,88,89
ChiP-ChiP arraysSpecific antibodies are used for proteins (ie, histones) that are binding to the DNA followed by array hybridization. Mainly used to identify regions that are active and/or inactive based on epigenetic modifications.Chromatin immunoprecipitation combined with microarray hybridization90
ChiP–Seq technologySpecific antibodies are used for proteins (ie, histones) that are binding to the DNA followed by DNA sequencing to map the locations of the histone proteins in the genome and their specific modifications. Second-generation DNA sequencing has been used to uncover these changes.Chromatin immunoprecipitation combined with DNA sequencing91
DNA methylation arraysDifferent types of DNA methylation arrays have been used such as arrays containing CG-rich regions of the DNA. Whole genome arrays are also generated after bisulfite conversion of the DNA.CpG island specific arrays, whole genome bisulfite arrays92,93
Second-generation DNA sequencingMethodologies based on pyrosequencing and other technologies are allowing the generation of huge amounts of genomic and trascriptomic data. They have been also used to detect epigenomic modifications in human genomes.Pyrosequencing, sequencing by oligo ligation and detection, sequencing by synthesis, and others94,95
Third-generation DNA sequencingThis new generation comprises methodologies that will be available soon mainly based in nanotechnology (ie, nanopores and nanodetectors). These new methods have the potential to decrease the costs of sequencing a genome in a faster way than the current technologies. Applications for epigenomic analyses have been recently reported.SMRT, nanosequencing, and others47,48,9699

Abbreviations: ChiP, chromatin immunoprecipitation; MSP, methylation-specific PCR; MSRE, methylation-sensitive restriction enzymes; SMRT, single molecule real time PCR.

Thirty years ago, sodium bisulfite was first described as a reagent that could be used to detect DNA methylation in specific regions of the DNA.45 This discovery has revolutionized the way we have been analyzing DNA methylation changes in cancer cells from different tumor types.45 This technology allowed the analyses of specific regions of the DNA, the so-called gene-by-gene analyses (Table 2), to evaluate the percentages of DNA methylation and correlate it to gene expression. In addition to sodium bisulfite treatment, digestion with methylation-sensitive restriction enzymes and several different methods using restriction enzymes combined with polymerase chain reaction46 have been used for years. Some limitations of these methods include the low number of dinucleotide CGs or CpGs that can be analyzed at a time (Table 2). Analyses of individual genes and/or regions of the DNA may also be applied to evaluate histone marks and nucleosome packaging, with the use of antibodies against specific marks in the histone proteins. These procedures, however, are very laborious and restricted to the region(s) of interest. Recent methods were developed for epigenomic analyses, which can evaluate epigenetic changes on a global level in the genome of tumor cells (Table 2). Examples include chromatin immunoprecipitation combined with DNA sequencing (ChiP–Seq) and high-throughput DNA methylation analyses after sodium bisulfite treatment using new DNA sequencing technologies (Table 2). Second-generation DNA sequencing methods are mainly based on pyrosequencing and emulsion polymerase chain reaction combined with beads that are embedded in slides with small pores (for more information on second-generation DNA sequencing, see Table 2). A wave of new sequencing technologies, named third-generation DNA sequencing, have been developed with the promise of sequencing genomes, transcriptomes, and epigenomes faster and with lower costs. Some of these technologies are based on the so-called nanopores (Table 2). These pores are small holes that could be biological or solid, in which the DNA can pass and be detected in a controlled manner.47 These technologies rely on the detection of single molecules, and labeling of the sequencing substrate is sometimes required. It is possible that these new sequencers developed using nanotechnology could read long stretches of DNA in a greater or comparable way to the technologies that are currently available. A recent report has demonstrated that it is already possible to detect DNA methylation changes without the use of the reagent sodium bisulfite (which degrades the DNA and usually requires high amounts of starting material).48 This is possible in a single molecule real time sequencing reaction with nanodetectors.48 It is becoming clear that the new technologies under development will be of importance for research in epigenomics. This will have a positive impact on cancer research, facilitating the identification of new biomarkers and drug targets.

Implications for cancer management

The stratification of patients based on their tumor profile and/or specific biomarkers is becoming the best way to subgroup individuals with the same tumor characteristics. This field is also known as personalized or individualized medicine, and its objective is to associate the best treatment for each specific patient or group of patients. Personalized medicine involves the systematic use of molecular information about each individual patient to select or optimize preventative and therapeutic care. These new approaches are changing the way in which pharmaceutical companies try to identify and test new cancer drugs. The idea of a blockbuster drug that could treat a broad spectrum of tumor types has become unlikely; cancer is a complex disease, and even a specific cancer type, such as breast cancer, has a variety of subclasses with completely different pathological and molecular features. Epigenomics is a unique approach to cancer research since it can help in the identification of groups of patients with the same epigenetic changes and characteristics in their tumors. The epigenetic drugs used today are unspecific and have side effects such as the ones that occur in conventional chemotherapy. This can vary from patient to patient, depending on the dosage that is prescribed. Importantly, lower dose treatments can reduce the side effects. The identification of DNA methylation and histone modifications associated with cancer may have important clinical utility in the future. The development of new technologies to uncover these changes in a high-throughput fashion will have a major impact as discussed above and shown in Tables 2 and 3.
Table 3

Some examples of epigenetic and epigenomic changes in single genes or group of genes and their potential impact in cancer management

Gene(s)Epigenetic/epigenomic changesImpact for cancer managementReferences
GSTP1Hypermethylated in 80%–90% of prostate cancers and unmethylated in benign hyperplasic tissue.Detection of hypermethylated GSTP1 could help to distinguish normal prostate cells from cancer cells. It could also be used as a biomarker in body fluids and biopsy specimens.51
P16ink4AOne of the most common tumor suppressors inactivated by DNA methylation in tumors. Hypermethylation has been linked to poor outcome in different types of cancer.p16ink4A could be used as prognostic marker in cancer.100
Apoptosis and cell cycle genes (ie, DAPK, p73, and others)Hypermethylation has been linked to poor outcome in different types of cancer.Genes associated to apoptosis that are hypermethylated in cancers could be used as prognostic markers.101103
Adhesion molecules (ie, cadherins, ADAM23, ADAM33, and others)Hypermethylated in different types of cancer and associated with cancer metastasis.Genes associated to cell adhesion could be used as markers for disease progression.5255,104
DNA repair genes (ie, MGMT, hMLH1, BRCA1, and others)Hypermethylation of genes implicated in DNA repair could help in identifying tumors that are more susceptible to therapies such as radiotherapy helping in personalized treatment.The use of individualized therapies could aid in patient outcome.56,57,105
HistonesDifferential histone modifications such as acetylation and methylation are associated to cancer recurrence and a worse prognosis.The identification of patients that are at more risk of recurrence of the disease could help in decisions related to treatment and a better follow-up into the clinic.58
miRNAsDNA methylation and histone modifications of miRNA genes has been reported by different groups.miRNAs are noncoding genes that can regulate several proteins in a cellular network and/or pathway. Reexpression of miRNAs in tumors may have an impact for the regulation of key genes in the cells.60,70,106

Abbreviations: ADAM23, a desintegrin and metalloprotease domain 23; ADAM33, a desintegrin and metalloprotease domain 33; BRCA1, breast cancer gene 1; DAPK, Death-associated protein kinase; GSTP1, glutathione S-transferase P1; hMLH1, human mutL homolog 1; MGMT, O6-methylguanine-DNA methyltransferase; miRNAs, microRNAs.

Some advancement in the field of epigenetics and epigenomics has already led to the identification of specific biomarkers to manage the disease (see Table 3 for more details). A variety of genes have been described as hypermethylated and/or hypomethylated in cancers, and this feature has shown some clinical significance in specific tumor types.49,50 Genes such as GSTP1, which is hypermethylated in a high percentage of prostate cancers, has been used as a biomarker for this disease in body fluids and biopsy specimens.51 In addition, groups of genes from the same pathway and/or network have shown the same epigenetic changes in tumors. Examples include genes implicated in cell adhesion, DNA repair, and apoptosis that can be downregulated by DNA methylation. Downregulation of genes associated with cell adhesion and migration can increase the risk of the tumor cells to metastasize to a secondary site in the body.52,53 For example, our group has already shown that the adhesion molecule ADAM23 is highly methylated in breast tumors, and this feature is correlated to metastases and a poor prognosis in breast tumors.54,55 A classic example of a DNA repair gene downregulated by DNA methylation is the MGMT gene, which is silenced by epigenetic mechanisms in brain tumors.56 Tumors that do not express the gene MGMT are more sensitive to radiotherapy and chemotherapy with temozolomide, and this molecular feature has been used in clinical decisions and disease management for glioblastomas.56,57 Changes in the profile of histone modifications have also been used to evaluate and manage the risk of prostate cancer recurrence in patients.58 Another group of genes in which epigenetic changes can be monitored to manage cancer risk and progression is the microRNA (miR) gene family.59 Some studies have already shown that miRs can be regulated by epigenetic mechanisms (Table 3). Changes in DNA methylation have been reported in specific cancer types for different miRs.60 Additionally, miRs are associated with important embryonic gene pathways in cancer, and this connection between embryonic development and cancer should be carefully examined for drug development in the future.61 Since miRs regulate hundreds to thousands of protein-coding genes by incomplete base-pairing,62–64 allowing them to affect networks and pathways of genes, it will be of importance to monitor miR expression changes mediated by epigenetics during cancer initiation and progression. In the case of drug development and new therapies, it is likely that the future of epigenetic therapy will include the use of multiple drugs that individually have little effect in epigenetic silencing but that might be expected to have synergistic and/or additional effects when combined. For example, a recent study using histone deacetylase inhibitors and high-dose chemotherapy both in vitro and in vivo indicated that this combination might overcome chemoresistance, achieve durable remission, and improve survival of patients with Burkitt lymphoma.65 A major problem with the use of current epigenetic drugs is that they are nonspecific and can reactivate genes randomly. A concern is that they can cause a whole-genome hypomethylation, increase the number of chromosomal abnormalities, and affect the tumorigenic phenotype of cancer cells as previously described.66,67 However, evidence that DNA methylation inhibitors act only in dividing cells, leaving nondividing cells unaffected, has already been reported.68 In addition, it seems that these drugs activate genes that have become abnormally silenced in cancer.69,70 The question we face today in the epigenomics field applied to cancer research is ‘How to manage cancer with the new technologies and tools that are becoming available?’ The new technologies under development will facilitate the identification of better epigenetic markers and may aid in the development of more specific therapies. These drugs will be focused in a group of genes and not the entire epigenome (see Table 1 for epigenetic drugs). The other question is ‘What will be the impact of epigenomics in the clinics?’ In other words, how could we translate the discoveries from basic science to the patient’s bedside? In this regard, the FDA has already approved a few epigenetic drugs for different tumor types, and some of these are very promising (Table 1 and Figure 1). Molecular biomarkers, such as genes or groups of genes with changes in epigenetic modifications in tumors, have also been used to guide clinical decisions. Examples are epigenetic changes in GSTP1 in prostate cancer, p16ink4A in different types of cancer, and MGMT in brain tumors (see Table 3). There are companies (ie, Oncomethylome Sciences, Epigenomics AG, Sequenom, and others) already offering a test with a panel of epigenetic markers covering different genomic regions for cancers (see Table 4 for more details). More recently, the company Exact Sciences released a combined test for four methylation markers for early detection of colon cancer with a 100% sensitivity. The advantages of using epigenetic markers for early detection of cancer and disease monitoring is that the test can be done in a small tumor sample or even in body fluids such as stool, blood, spinal fluid, and urine. Depending on the combination of markers obtained after the tests, clinicians are able to predict the appearance of the disease and also group cancer patients based in tumor aggressiveness and other clinical features, facilitating clinical decisions. Clearly, the impact of epigenomics in cancer management is expected to increase with the advent and development of new technologies.
Table 4

Examples of companies offering predictive epigenetic-based tests for cancer diagnosis and monitoring

CompanyEpigenetic test(s)Impact for clinical decisionsWebsite
Oncomethylome sciencesMGMT methylation analysisThis test indicates if patients with unmethylated (functioning) MGMT will benefit from the addition of temozolomide to the standard treatment of radiation therapy. Patients with methylated (silenced) MGMT have longer progression-free and overall survivals with the combination of radiation therapy and temozolomide. This company also tests other genes for different tumor types in body fluids.www.oncomethylome.com
Epigenomics AGOncoSign and Epi proColonBiomarker candidates are used to identify drug response in cancer patients based in the DNA methylation analyses of a set of genes. Other epigenetic tests are also offered for colon cancer management facilitating clinical decisions.www.epigenomics.com
SequenomCancer EpiPanelsThe Cancer EpiPanel contains targets of more than 400 cancer-related genes. It includes prevalidated assays covering over 12,000 CpG sites in promoter regions of genes known to be involved in neoplastic transformation. The Cancer EpiPanel can be used to produce quantitative DNA methylation profiles helping in tumor classification.www.sequenom.com
Exact sciencesStool-based DNA methylation analysesThe company offers noninvasive, molecular screening technologies for the early detection of colorectal cancer using a combination of DNA methylation markers. Stool-based DNA technology is used for disease management.www.exactsciences.com

Conclusions and future directions

In conclusion, the burgeoning fields of genomics and epigenomics comprise essential facets of modern cancer research. The FDA has already approved some epigenetic drugs, and others are in clinical trials and under development, demonstrating that this field already affects the way we manage cancer. In addition, single genes and groups of genes from the same pathway have been identified as differentially methylated in cancers, and some have been used as molecular biomarkers in order to identify patients with a better or a worse prognosis. Histone modification changes have also been used as markers to monitor cancer patients. Clearly, epigenetic changes in tumors will affect the decisions that are made in the clinics for the patients, especially treatment regimens and disease progression monitoring. Future directions include the discovery of new biomarkers and the development of more efficient drugs against different tumor types with the evolving technologies and the emergence of a new generation of DNA sequencers. Based on the information discussed here, growing evidence indicates that new epigenomic tools will increasingly affect the way we monitor and manage cancer in the future.
  106 in total

1.  The impact of microRNAs and alternative splicing in pharmacogenomics.

Authors:  F Passetti; C G Ferreira; F F Costa
Journal:  Pharmacogenomics J       Date:  2009-02       Impact factor: 3.550

2.  Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project.

Authors:  Ewan Birney; John A Stamatoyannopoulos; Anindya Dutta; Roderic Guigó; Thomas R Gingeras; Elliott H Margulies; Zhiping Weng; Michael Snyder; Emmanouil T Dermitzakis; Robert E Thurman; Michael S Kuehn; Christopher M Taylor; Shane Neph; Christoph M Koch; Saurabh Asthana; Ankit Malhotra; Ivan Adzhubei; Jason A Greenbaum; Robert M Andrews; Paul Flicek; Patrick J Boyle; Hua Cao; Nigel P Carter; Gayle K Clelland; Sean Davis; Nathan Day; Pawandeep Dhami; Shane C Dillon; Michael O Dorschner; Heike Fiegler; Paul G Giresi; Jeff Goldy; Michael Hawrylycz; Andrew Haydock; Richard Humbert; Keith D James; Brett E Johnson; Ericka M Johnson; Tristan T Frum; Elizabeth R Rosenzweig; Neerja Karnani; Kirsten Lee; Gregory C Lefebvre; Patrick A Navas; Fidencio Neri; Stephen C J Parker; Peter J Sabo; Richard Sandstrom; Anthony Shafer; David Vetrie; Molly Weaver; Sarah Wilcox; Man Yu; Francis S Collins; Job Dekker; Jason D Lieb; Thomas D Tullius; Gregory E Crawford; Shamil Sunyaev; William S Noble; Ian Dunham; France Denoeud; Alexandre Reymond; Philipp Kapranov; Joel Rozowsky; Deyou Zheng; Robert Castelo; Adam Frankish; Jennifer Harrow; Srinka Ghosh; Albin Sandelin; Ivo L Hofacker; Robert Baertsch; Damian Keefe; Sujit Dike; Jill Cheng; Heather A Hirsch; Edward A Sekinger; Julien Lagarde; Josep F Abril; Atif Shahab; Christoph Flamm; Claudia Fried; Jörg Hackermüller; Jana Hertel; Manja Lindemeyer; Kristin Missal; Andrea Tanzer; Stefan Washietl; Jan Korbel; Olof Emanuelsson; Jakob S Pedersen; Nancy Holroyd; Ruth Taylor; David Swarbreck; Nicholas Matthews; Mark C Dickson; Daryl J Thomas; Matthew T Weirauch; James Gilbert; Jorg Drenkow; Ian Bell; XiaoDong Zhao; K G Srinivasan; Wing-Kin Sung; Hong Sain Ooi; Kuo Ping Chiu; Sylvain Foissac; Tyler Alioto; Michael Brent; Lior Pachter; Michael L Tress; Alfonso Valencia; Siew Woh Choo; Chiou Yu Choo; Catherine Ucla; Caroline Manzano; Carine Wyss; Evelyn Cheung; Taane G Clark; James B Brown; Madhavan Ganesh; Sandeep Patel; Hari Tammana; Jacqueline Chrast; Charlotte N Henrichsen; Chikatoshi Kai; Jun Kawai; Ugrappa Nagalakshmi; Jiaqian Wu; Zheng Lian; Jin Lian; Peter Newburger; Xueqing Zhang; Peter Bickel; John S Mattick; Piero Carninci; Yoshihide Hayashizaki; Sherman Weissman; Tim Hubbard; Richard M Myers; Jane Rogers; Peter F Stadler; Todd M Lowe; Chia-Lin Wei; Yijun Ruan; Kevin Struhl; Mark Gerstein; Stylianos E Antonarakis; Yutao Fu; Eric D Green; Ulaş Karaöz; Adam Siepel; James Taylor; Laura A Liefer; Kris A Wetterstrand; Peter J Good; Elise A Feingold; Mark S Guyer; Gregory M Cooper; George Asimenos; Colin N Dewey; Minmei Hou; Sergey Nikolaev; Juan I Montoya-Burgos; Ari Löytynoja; Simon Whelan; Fabio Pardi; Tim Massingham; Haiyan Huang; Nancy R Zhang; Ian Holmes; James C Mullikin; Abel Ureta-Vidal; Benedict Paten; Michael Seringhaus; Deanna Church; Kate Rosenbloom; W James Kent; Eric A Stone; Serafim Batzoglou; Nick Goldman; Ross C Hardison; David Haussler; Webb Miller; Arend Sidow; Nathan D Trinklein; Zhengdong D Zhang; Leah Barrera; Rhona Stuart; David C King; Adam Ameur; Stefan Enroth; Mark C Bieda; Jonghwan Kim; Akshay A Bhinge; Nan Jiang; Jun Liu; Fei Yao; Vinsensius B Vega; Charlie W H Lee; Patrick Ng; Atif Shahab; Annie Yang; Zarmik Moqtaderi; Zhou Zhu; Xiaoqin Xu; Sharon Squazzo; Matthew J Oberley; David Inman; Michael A Singer; Todd A Richmond; Kyle J Munn; Alvaro Rada-Iglesias; Ola Wallerman; Jan Komorowski; Joanna C Fowler; Phillippe Couttet; Alexander W Bruce; Oliver M Dovey; Peter D Ellis; Cordelia F Langford; David A Nix; Ghia Euskirchen; Stephen Hartman; Alexander E Urban; Peter Kraus; Sara Van Calcar; Nate Heintzman; Tae Hoon Kim; Kun Wang; Chunxu Qu; Gary Hon; Rosa Luna; Christopher K Glass; M Geoff Rosenfeld; Shelley Force Aldred; Sara J Cooper; Anason Halees; Jane M Lin; Hennady P Shulha; Xiaoling Zhang; Mousheng Xu; Jaafar N S Haidar; Yong Yu; Yijun Ruan; Vishwanath R Iyer; Roland D Green; Claes Wadelius; Peggy J Farnham; Bing Ren; Rachel A Harte; Angie S Hinrichs; Heather Trumbower; Hiram Clawson; Jennifer Hillman-Jackson; Ann S Zweig; Kayla Smith; Archana Thakkapallayil; Galt Barber; Robert M Kuhn; Donna Karolchik; Lluis Armengol; Christine P Bird; Paul I W de Bakker; Andrew D Kern; Nuria Lopez-Bigas; Joel D Martin; Barbara E Stranger; Abigail Woodroffe; Eugene Davydov; Antigone Dimas; Eduardo Eyras; Ingileif B Hallgrímsdóttir; Julian Huppert; Michael C Zody; Gonçalo R Abecasis; Xavier Estivill; Gerard G Bouffard; Xiaobin Guan; Nancy F Hansen; Jacquelyn R Idol; Valerie V B Maduro; Baishali Maskeri; Jennifer C McDowell; Morgan Park; Pamela J Thomas; Alice C Young; Robert W Blakesley; Donna M Muzny; Erica Sodergren; David A Wheeler; Kim C Worley; Huaiyang Jiang; George M Weinstock; Richard A Gibbs; Tina Graves; Robert Fulton; Elaine R Mardis; Richard K Wilson; Michele Clamp; James Cuff; Sante Gnerre; David B Jaffe; Jean L Chang; Kerstin Lindblad-Toh; Eric S Lander; Maxim Koriabine; Mikhail Nefedov; Kazutoyo Osoegawa; Yuko Yoshinaga; Baoli Zhu; Pieter J de Jong
Journal:  Nature       Date:  2007-06-14       Impact factor: 49.962

3.  A comprehensive catalogue of somatic mutations from a human cancer genome.

Authors:  Erin D Pleasance; R Keira Cheetham; Philip J Stephens; David J McBride; Sean J Humphray; Chris D Greenman; Ignacio Varela; Meng-Lay Lin; Gonzalo R Ordóñez; Graham R Bignell; Kai Ye; Julie Alipaz; Markus J Bauer; David Beare; Adam Butler; Richard J Carter; Lina Chen; Anthony J Cox; Sarah Edkins; Paula I Kokko-Gonzales; Niall A Gormley; Russell J Grocock; Christian D Haudenschild; Matthew M Hims; Terena James; Mingming Jia; Zoya Kingsbury; Catherine Leroy; John Marshall; Andrew Menzies; Laura J Mudie; Zemin Ning; Tom Royce; Ole B Schulz-Trieglaff; Anastassia Spiridou; Lucy A Stebbings; Lukasz Szajkowski; Jon Teague; David Williamson; Lynda Chin; Mark T Ross; Peter J Campbell; David R Bentley; P Andrew Futreal; Michael R Stratton
Journal:  Nature       Date:  2009-12-16       Impact factor: 49.962

Review 4.  Novel histone deacetylase inhibitors in clinical trials as anti-cancer agents.

Authors:  Jiahuai Tan; Shundong Cang; Yuehua Ma; Richard L Petrillo; Delong Liu
Journal:  J Hematol Oncol       Date:  2010-02-04       Impact factor: 17.388

Review 5.  Methylation-sensitive representational difference analysis and its application to cancer research.

Authors:  Atsushi Kaneda; Daiya Takai; Michio Kaminishi; Eriko Okochi; Toshikazu Ushijima
Journal:  Ann N Y Acad Sci       Date:  2003-03       Impact factor: 5.691

6.  Inhibition of histone deacetylase overcomes rapamycin-mediated resistance in diffuse large B-cell lymphoma by inhibiting Akt signaling through mTORC2.

Authors:  Mamta Gupta; Stephen M Ansell; Anne J Novak; Shaji Kumar; Scott H Kaufmann; Thomas E Witzig
Journal:  Blood       Date:  2009-07-29       Impact factor: 22.113

7.  p16INK4a gene promoter hypermethylation in mucosa as a prognostic factor for patients with colorectal cancer.

Authors:  Yvonne Wettergren; Elisabeth Odin; Staffan Nilsson; Göran Carlsson; Bengt Gustavsson
Journal:  Mol Med       Date:  2008 Jul-Aug       Impact factor: 6.354

8.  Cellular differentiation, cytidine analogs and DNA methylation.

Authors:  P A Jones; S M Taylor
Journal:  Cell       Date:  1980-05       Impact factor: 41.582

Review 9.  Decitabine and its role in the treatment of hematopoietic malignancies.

Authors:  Elizabeth R Plimack; Hagop M Kantarjian; Jean-Pierre Issa
Journal:  Leuk Lymphoma       Date:  2007-08

Review 10.  Tuning gene expression to changing environments: from rapid responses to evolutionary adaptation.

Authors:  Luis López-Maury; Samuel Marguerat; Jürg Bähler
Journal:  Nat Rev Genet       Date:  2008-08       Impact factor: 53.242

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  15 in total

Review 1.  Cancer epigenetics: above and beyond.

Authors:  Mariana Brait; David Sidransky
Journal:  Toxicol Mech Methods       Date:  2011-05       Impact factor: 2.987

2.  Read-through circular RNAs reveal the plasticity of RNA processing mechanisms in human cells.

Authors:  Amanda F Vidal
Journal:  RNA Biol       Date:  2020-08-12       Impact factor: 4.652

Review 3.  Epigenetic research in cancer epidemiology: trends, opportunities, and challenges.

Authors:  Mukesh Verma; Scott Rogers; Rao L Divi; Sheri D Schully; Stefanie Nelson; L Joseph Su; Sharon A Ross; Susan Pilch; Deborah M Winn; Muin J Khoury
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-12-10       Impact factor: 4.254

Review 4.  Epigenetic alterations in ameloblastomas: A literature review.

Authors:  Erison-Santana Santos; Carla-Isabelly Rodrigues-Fernandes; Joab-Cabral Cabral; Felipe-Paiva Fonseca; Adriana-Franco-Paes Leme
Journal:  J Clin Exp Dent       Date:  2021-03-01

5.  Epigenetic changes of CXCR4 and its ligand CXCL12 as prognostic factors for sporadic breast cancer.

Authors:  Edneia A S Ramos; Mariana Grochoski; Karin Braun-Prado; Gerusa G Seniski; Iglenir J Cavalli; Enilze M S F Ribeiro; Anamaria A Camargo; Fabrício F Costa; Giseli Klassen
Journal:  PLoS One       Date:  2011-12-29       Impact factor: 3.240

6.  miRGate: a curated database of human, mouse and rat miRNA-mRNA targets.

Authors:  Eduardo Andrés-León; Daniel González Peña; Gonzalo Gómez-López; David G Pisano
Journal:  Database (Oxford)       Date:  2015-04-08       Impact factor: 3.451

7.  Cell-free DNA promoter hypermethylation in plasma as a diagnostic marker for pancreatic adenocarcinoma.

Authors:  Stine Dam Henriksen; Poul Henning Madsen; Anders Christian Larsen; Martin Berg Johansen; Asbjørn Mohr Drewes; Inge Søkilde Pedersen; Henrik Krarup; Ole Thorlacius-Ussing
Journal:  Clin Epigenetics       Date:  2016-11-16       Impact factor: 6.551

8.  Cell-free DNA promoter hypermethylation in plasma as a predictive marker for survival of patients with pancreatic adenocarcinoma.

Authors:  Stine Dam Henriksen; Poul Henning Madsen; Anders Christian Larsen; Martin Berg Johansen; Inge Søkilde Pedersen; Henrik Krarup; Ole Thorlacius-Ussing
Journal:  Oncotarget       Date:  2017-09-30

9.  MicroRNA-34a regulates proliferation and apoptosis of gastric cancer cells by targeting silent information regulator 1.

Authors:  Xiaojing Deng; Hailun Zheng; Dapeng Li; Yongju Xue; Qizhi Wang; Shanjun Yan; Yu Zhu; Min Deng
Journal:  Exp Ther Med       Date:  2018-03-02       Impact factor: 2.447

10.  The Role of Abnormal Methylation of Wnt5a Gene Promoter Regions in Human Epithelial Ovarian Cancer: A Clinical and Experimental Study.

Authors:  Ping Jin; Yi Song; Guiyuan Yu
Journal:  Anal Cell Pathol (Amst)       Date:  2018-07-16       Impact factor: 2.916

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