Your new experience awaits. Try the new design now and help us make it even better

REVIEW article

Front. Genet., 02 January 2026

Sec. Pharmacogenetics and Pharmacogenomics

Volume 16 - 2025 | https://doi.org/10.3389/fgene.2025.1622115

This article is part of the Research TopicGenetic and Pharmacological Frontiers in Cancer TreatmentView all 9 articles

The power and the promise of epigenetic drugs in oncology

  • 1Laboratory of Experimental Oncology, Post-Graduation Program in Translational Medicine, Drug Research and Development Center (NPDM), Federal University of Ceará, Fortaleza, Ceará, Brazil
  • 2Molecular Carcinogenesis Program, Brazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil
  • 3Division of Clinical Research and Technological Development, Brazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil

Epigenetic dysregulation is commonly observed in cancer and has been shown to contribute to different steps of carcinogenesis, from initiation, making cells more prone to transformation, to progression and treatment resistance. Therefore, based on their frequency, relevance and reversibility, epigenetic alterations are promising therapeutic targets in oncology. Although the concept of targeting epigenetic mechanisms is not new, recent advances have been made in reducing toxicity, augmenting specificity, diversifying the targets and combining therapies. In this scoping review, we introduce the main epigenetic mechanisms of gene expression regulation and bring the current knowledge on available epidrugs, focusing on their mechanisms of action and ongoing clinical trials.

GRAPHICAL ABSTRACT
Schematic diagram illustrating the mechanisms of epigenetic drugs in cancer treatment. It includes pathways for targeting epigenetic modifications like TSG gene silencing by EZH2, acetylated lysine on histone tails impacting gene transcription, and non-coding RNA approaches such as OncomiR inhibition and CRISPR-Cas9 knockout. The image details mechanisms like chromatin opening/closing by HAT and HDAC inhibitors, DNA methylation involving DNMT inhibitors, and oncomiR and antimiR complex formation. It also depicts interactions with components like SAM, acetyl-CoA, and metabolic pathways involving IDH inhibitors.

GRAPHICAL ABSTRACT | Epigenetic drugs targeting the dysregulated epigenome in cancer may play a crucial role in restoring normal cellular function and provide an alternative approach to counteract these alterations. Currently, the classes of available epigenetic drugs approved by FDA include inhibitors of DNA-methyltransferases (DNMT), the enzymes responsible for DNA methylation; inhibitors of “writers” and “erasers” involved in post-translational modifications of arginines/lysines in histones’ tails, including histone acetyltransferases (HAT) and histone deacetylases (HDAC); inhibitors of histone readers (i.e., bromodomain and extra-terminal domain (BRD) family proteins), which specifically interact with acetylated lysine residues on histones; and inhibitors of isocitrate dehydrogenases 1/2 (IDH1/2) metabolic enzymes. Non-coding RNAs (ncRNAs) can affect several post-transcriptional processes, and among them, the miRNAs are the most commonly studied. Several ncRNAs have shown potential as therapeutic targets.

Highlights

• Epigenetic modifications represent successful therapeutic targets in hematologic malignancies, but challenges in solid tumors remain due to poor bioavailability and high toxicity

• ncRNAs, including lncRNAs and miRNAs, are emerging as promising therapeutic targets in cancer, with roles in gene expression regulation and potential as diagnostic biomarkers

• Combining epigenetic drugs with immunotherapy is promising for cancer treatment

1 Introduction

Epigenetic regulation mainly includes three different processes: DNA methylation, histone modifications, and noncoding RNAs. These are key mechanisms to define cell-specific transcriptional programs, and consequently cell phenotypes, without altering the DNA sequence. The silencing and overactivation of cancer-related genes by epigenetic modifications are common and seem to be a central mechanism during carcinogenesis. Although cancer development is the consequence of multiple events, epigenetic changes are reversible and thus may be translated into therapeutic opportunities (Zhao et al., 2021; Du et al., 2015). Several epigenetic-based drugs have been proposed to treat cancer in the last 20 years, although just a few have been approved by the US Food and Drug Administration (FDA) (Table 1).

Table 1
www.frontiersin.org

Table 1. US-FDA approved epigenetic-based drugs for cancer therapy.

Epigenetic therapy is particularly successful for hematological malignancies, but several trials address and show promising results for solid tumors. Here we aimed to draw together key aspects regarding available epigenetic drugs for clinical use and new approaches that might revolutionize cancer treatment. We also summarized the clinical trials based on epigenetic therapies listed on ClinicalTrials.gov of the National Institutes of Health (NIH) (Supplementary Table S1).

2 DNA methylation

DNA methylation is probably the most well-known epigenetic mechanism of gene expression regulation and, not coincidentally, it was the first target for the development of epigenetic drugs. It is a seemingly simple reaction in which a methyl group is transferred from S-adenosylmethionine (SAM, the universal cellular methyl donor) to the carbon five of a cytosine followed by a guanine in the same DNA strand (the so-called CpG sites) (Lopomo and Coppedè, 2018). In humans, three DNA methyltransferases (DNMTs) with enzymatic activity are known, playing different roles in DNA methylation homeostasis (Lopomo and Coppedè, 2018). DNMT1 is usually the enzyme with the highest expression, and it is crucial for the maintenance of cell identity due to its role of copying the methylation patterns to the newly synthesized DNA strand during DNA replication (Hermann et al., 2004; Goto et al., 1994). Besides, DNMT1 also plays a role in the reestablishment of methylation patterns during DNA repair (Mortuse et al., 2005). While DNMT1 is considered a maintenance DNMT, DNMT3A and DNMT3B are described as de novo methyltransferases. These enzymes do not require a hemi-methylated template, being able to transfer methyl groups to not previously methylated DNA regions (Okano et al., 1999).

DNA methylation has a broad range of effects. In promoter regions, DNA methylation can regulate gene expression both directly, by promoting the inhibition of the binding of transcription factors able to induce mRNA synthesis or by recruiting transcription factors involved in gene silencing, (Moore et al., 2013), and indirectly, by the recruitment of methyl-binding domain proteins and histones modifiers (Moore et al., 2013). The effects of DNA methylation on other genomic regions are less clear. While in enhancers the mechanisms seem to be similar to those described for promoters (Kreibich and Krebs), the methylation of insulators in general prevents the binding of large proteins such as CTCF (CCCTC-Binding Factor) and enables the approximation between regulatory regions and target genes, resulting in higher expression levels (Yang and Corces, 2011). In gene bodies, the effects are more diverse, with DNA methylation showing a direct correlation with gene expression and regulating alternative splicing (Yang et al., 2014). Finally, DNA methylation is also involved in the maintenance of genomic stability by silencing transposable elements (Jansz, 2019; Jaenisch and Bird, 2003; Kim and Costello, 2017; Nishiyama and Nakanishi, 2021).

Although the DNA methylation profile observed in cancer cells, i.e., hypermethylated promoters and a hypomethylated genome (Nishiyama and Nakanishi, 2021), could raise the question whether the inhibition or the induction of the process would be more beneficial, Farber and Diamond provided the first evidence of the most suitable path in 1948 (Farber et al., 1948). Although their report did not involve specific DNA methylation-targeted drugs, it provided data on the use of folic acid agonists and antagonists. Folic acid is one of the necessary, and not endogenously produced, intermediates of the one-carbon metabolism, which produces SAM for all methylation reactions within a cell (Mentch and Locasale, 2016). By treating children diagnosed with acute leukemia with the folic acid conjugates pteroyltriglutamic (teropterin) or pteroyldiglutamic acids (dopterin), it was possible to observe an acceleration of the leukemic process in post-mortem examinations. Although this could represent a new window of opportunity for the potentiation of other treatments targeted to highly replicating cells, such as radiation, the effects of folic acid antagonists were more promising. Out of 16 patients who were given 4-aminopteroylglutamic acid (aminopterin), 10 responded to the therapy, showing satisfactory, but temporary remissions (Farber et al., 1948). In this seminal study, a concern regarding treatment toxicity, which limited its duration, was reported and was shown to be shared with DNA methylation inhibitors later (Uddin and Fandy, 2021).

In 1964, a new nucleoside analog was synthesized aiming at inhibiting nucleic acid biosynthesis, 5-azacitidine (5-AzaC) (Pískala and Šorm, 1964). A single dose of 5-AzaC was able to increase survival time in a mouse model of acute leukemia, being referred to as a cancerostatic compound (Šorm et al., 1964). 5-AzaC can incorporate to both RNA (following its phosphorylation) and DNA (following its reduction), presenting more effects than only DNA methylation inhibition (Veselý, 1985) (Figure 1). Indeed, this drug was shown to inhibit ribosomal RNA synthesis, to reduce transporter RNA acceptor activity and protein synthesis (Veselý, 1985; Lee and Karon, 1976). In contrast, 5-aza-2′-deoxycitidine (5-AzaDC) can only incorporate into DNA and it is approximately 10-fold more efficient than 5-AzaC in inducing differentiation (Jones and Taylor, 1980; Li et al., 1970). Within the DNA strand, besides being resistant to methylation, 5-AzaC and 5-AzaDC induce a reduction of DNMT1 activity since these enzymes become irreversibly bound to DNA (Jones and Taylor, 1980; Taylor and Jones; Christman et al., 1983) (Figure 1). The resulting adducts may impair DNA replication during the following cell cycles (Davidson et al., 1992). The ability to bind covalently and consequently inhibit DNMT1 activity makes 5-AzaC and 5-AzaDC toxic effects dependent on DNMT1 levels (Jüttermann et al., 1994; Flatau et al., 1984). Indeed, resistant cells can still incorporate 5-AzaDC to their DNA, but higher DNMT1 levels make it less likely for these enzymes to encounter the cytosine analog (Flatau et al., 1984). Finally, once deaminated into 5-azauridine and 5-aza-2′-deoxyuridine, 5-AzaC and 5-AzaDC, respectively, can also inhibit de novo thymidylate synthesis (Veselý et al., 1969), which adds to their toxicity.

Figure 1
Diagram illustrating the effects of high and low doses of 5-AzaC and 5-AzaDC on DNA and RNA processes. High doses impair DNA replication through DNA adducts, leading to apoptosis, and induce passive demethylation, reactivating tumor suppressor genes. DNMT1 trapping is noted. Phosphorylation impacts include inhibited ribosomal RNA synthesis, decreased tRNA activity, and protein synthesis. Low doses lead to transposable element demethylation, double-stranded RNA expression, and viral mimicry. Deamination affects thymidylate synthesis.

Figure 1. Molecular mechanisms of the hypomethylating agents 5-azacitidine (5-AzaC) and 5-aza-2′-deoxycitidine (5-AzaDC). Upon cellular uptake, 5-AzaC and 5-AzaDC may undergo reduction, phosphorylation or deamination. When reduced, both 5-AzaC and 5-AzaDC are incorporated into DNA during cell cycle. Subsequently, DNA methylation is inhibited, since these analogs are resistant to methyl transfer and DNMT1 becomes trapped. When administered in high doses, 5-AzaC and 5-AzaDC may form DNA adducts, resulting in apoptosis, and/or lead to passive demethylation, which has the potential to reactivate repressed tumor suppressor genes (TSG) and activate differentiation transcriptional programs. 5-AzaC and 5-AzaDC in low doses have been shown to result in the demethylation of transposable elements (TE) and endogenous retroviruses (ERV), inducing the expression of double-strand RNAs (dsRNA), and eliciting viral mimicry. After phosphorylation, 5-AzaC can also be incorporated into RNA molecules, inhibiting ribosomal RNA synthesis and reducing both tRNA acceptor activity and protein synthesis. The deaminated forms of 5-AzaC and 5-AzaDC inhibit de novo thymidylate synthesis. DNMT1, DNA methyltransferase 1.

Although much less explored, 5-AzaDC inhibitory effects on DNMT3 enzymes have also been suggested (Oka et al., 2005; Suzuki et al., 2006). Dnmt3-null mutant embryonic stem cells have been shown to be highly resistant to 5-AzaDC treatment relative to wild-type or single-mutant (Dnmt3a, Dnmt3b or Dnmt1) cells. In addition, the sensitivity to treatment of both undifferentiated and differentiated cells correlated with Dnmt3 expression (Oka et al., 2005). In another study, the repressive effects of Dnmt3 on the activity of a transcription factor was shown to be recovered by 5-AzaDC treatment (Suzuki et al., 2006). These findings indicate that 5-AzaDC mechanisms of action might not be fully elucidated and may depend on specific conditions.

In 2004, 5-AzaC was first approved by the FDA to treat specific subtypes of myelodysplastic neoplasms (MDS). Currently, it is used to treat adults with acute myeloid leukemia who had a first complete remission after intensive induction therapy and who are not able to finish intensive curative therapy; adults with certain types of MDS, including chronic myelomonocytic leukemia (CMML); children aged 1 month and older with newly diagnosed juvenile myelomonocytic leukemia (National Cancer Institute, 2006a). 5-AzaDC (decitabine) was first approved in 2006 for treating adults with MDS, including CMML (National Cancer Institute, 2006b). Although in a much smaller number of studies, in addition to hematological malignancies, these drugs are currently being tested in clinical trials for solid tumors, such as ependymoma, head and neck squamous cell carcinoma, breast cancer, gastric cancer, osteosarcoma, chondrosarcoma, colorectal cancer, melanoma, non-small cell lung cancer, pancreatic adenocarcinoma, mesothelioma, esophageal squamous cell carcinoma, ovarian cancer, prostate carcinoma, gliomas, and BRCA1/​2- and Homologous Recombination Deficient (HRD)-Mutated Tumors (clinicaltrials.gov, last accessed on 29 January 2024).

The effectiveness of 5-AzaC and 5-AzaDC against cancer cells is primarily supposed to be based on the cytotoxicity of the adducts formed between these analogs and DNMT1 in the DNA strand. These adducts have been shown to activate the p53-dependent DNA damage response and, therefore, their effects would require functional p53 to induce apoptosis (Karpf et al., 2001). In this context, the much lower frequency of inactivating TP53 mutations observed in hematological malignancies (10%–20%) relative to solid tumors (>60%) (Peller and Rotter, 2003) could explain, at least in part, the FDA approval and higher number of ongoing clinical trials for those diseases. Additionally, the treatment with demethylating agents can activate differentiation transcriptional programs (Ramakrishnan et al., 2017). This can be especially useful to treat cancers exhibiting low differentiation status. Finally, the reactivation of tumor suppressor genes, often silenced by promoter hypermethylation in cancer, has also been pointed out as one of the anticancer mechanisms of 5-AzaC and 5-AzaDC (Daskalakis et al., 2002).

The severe side-effects associated with 5-AzaC and 5-AzaDC have limited the doses and duration of treatment (Christman, 2002; Yan et al., 2016). Therefore, new approaches focusing on dose reduction and combination with other drugs have been proposed. In this context, almost 10 years after the initial FDA approval, a new anticancer mechanism was described for 5-AzaDC. In 2015, two independent groups have shown that the treatment of cancer cells with 5-AzaDC in low doses does not result in high cytotoxicity but leads to apoptosis via an interferon-mediated antiviral response (Roulois et al., 2015; Chiappinelli et al., 2015). This response was called viral mimicry and is the result of double-strand RNA (dsRNA) expression, which elicits the MDA5/MAVS RNA recognition pathway. Interestingly, dsRNA expression was a consequence, at least in part, of the demethylation of endogenous retroviruses (ERVs) and transposable elements. Roulois and colleagues further showed that these effects are more prominent in cancer initiating cells (Roulois et al., 2015), while Chiappinelli and colleagues highlighted that the treatment sensitized to anti-CTLA4 therapy in a pre-clinical melanoma model (Chiappinelli et al., 2015). Later, a clinical trial with solid tumor patients showed that low dose 5-AzaDC treatment induced T-cell proliferation and consequent antitumor response (Li et al., 2017). These findings marked the start of a new road for demethylating agents-based therapy, in which low-doses and combination with immune checkpoint blockade were the “Go” sign.

In parallel, other nucleoside DNMT inhibitors have been developed, focusing on decreasing toxicity and augmenting their half-lives. Guadecitabine is a dinucleotide which consists of decitabine linked by a phosphodiester bond to deoxyguanosine (Daifuku, 2019). Although not yet approved by the FDA, this decitabine prodrug has shown a bigger half-life in the bloodstream due to its resistance to deamination, resulting in reduced infusion times and higher patient convenience (Daifuku, 2019). So far, three Phase 3 clinical trials have been terminated for acute myeloid leukemia, MDS and chronic myelomonocytic leukemia and depicted no superiority relative to the treatment of choice (ClinicalTrials.gov ID: NCT02348489, NCT02907359, NCT02920008). Zebularine, a cytidine analog, is stable both on acidic and neutral pHs, which enables oral administration (Yoo et al., 2004). Although preclinical studies have shown a higher stability and lower toxicity relative to 5-AzaC and 5-AzaDC (Hu et al., 2021), clinical trials are still necessary to prove efficacy.

Despite the current use of 5-AzaC and 5-AzaDC in the clinic and the development of more stable and deamination-resistant nucleoside DNMT inhibitors, their lack of specificity, poor bioavailability, instability, and toxicity are still major concerns for their widespread use in cancer treatment. Based on this, other drugs showing demethylation effects have been repurposed (procainamide and procaine, for example,) and new compounds have been synthesized (Hu et al., 2021). Among the latter, the quinoline-derived compound SGI-1027 is a DNA-competitive and SAM-non-competitive inhibitor of DNMT1 (Gros et al., 2015). Although its mechanisms of action are not completely elucidated, SGI-1027 was shown to reactivate tumor suppressor genes (Sun et al., 2018), and to induce apoptosis and cell cycle arrest in cancer cell lines (She et al., 2020). SGI-1027 analogue MC3353 was able to induce green fluorescent protein expression in demethylating assays and exhibited anti-proliferative effects in different cancer cell models (Zwergel et al., 2019).

Other non-nucleoside inhibitors include RG108, a small molecule (2-(1,3-dioxo-1,3-dihydro-2Hisoindol-2-yl)-3-(1H-indol-3-yl)propanoic acid) selected through an in silico screen based on a three-dimensional model of the human DNMT1 catalytic domain. RG108 blocks DNA methylation in cell-free conditions and in human cancer cell lines, leading to the reactivation of epigenetically silenced tumor suppressor genes (Brueckner et al., 2005). Finally, MG98, a second generation antisense oligodeoxynucleotide inhibitor of human DNMT1, was shown to be well-tolerated with early evidence of clinical activity in a Phase I, open-label study, including patients with advanced solid malignancies (Plummer et al., 2009). But showed lack of objective response in a Phase II trial in patients with metastatic renal carcinoma, which might be attributable to a lack of target effect or the choice of tumor type (Winquist et al., 2006). Although still in its infancy, treatment with these new compounds might represent new directions on the road for demethylating agents-based therapy.

3 Histone modifications

Genomic DNA is packed by histones, shaping chromatin structure. The dynamic state of the chromatin can be affected by histones’ post-translational modifications, resulting in two main chromatin states. Euchromatin has a more relaxed configuration to facilitate the transcription process, thus this region usually contains highly expressed genes. On the other hand, heterochromatin has a more compact configuration, which is associated with the repression of gene transcription (Yang and Wang, 2021). The precise regulation of chromatin states involves the action of enzymes, known as “writers”, “erasers” and “readers”, responsible for the introduction, removal, and identification of chemical modifications, respectively, in histone tails (Hyun et al., 2017).

Histone modifications can impact DNA configuration, and include methylation, acetylation, phosphorylation, ubiquitylation, and the post-translational addition of other less characterized chemical groups on the N-terminal tails of histones H2A, H2B, H3 and H4 (Zhao and Shilatifard, 2019). Given their central role in the control of cellular processes, these modifications are dynamically added and removed by chromatin-modifying enzymes in a highly regulated and specific manner (Baylin and Jones, 2011).

The enzymes responsible for these modifications play critical roles in the regulation of several key genes for normal cell function (Zhuang et al., 2020; Bannister and Kouzarides, 2011). They include histone acetyltransferases or lysine acetyltransferases (HATs or KATs, respectively), histone deacetylases or lysine deacetylases (HDACs or KDACs, respectively), histone methyltransferases (HMTs, that may act both on lysines, KMTs, and on arginines, PRMTs), histone demethylases (HDM, with specific enzymes responsible for lysine demethylation, KDMs, or arginine demethylation, PRDMs), among others (Barski et al., 2007). The aberrant expression of these enzymes is associated with the disruption of the histone modification machinery, leading to abnormal cellular responses associated with cancer initiation, progression, and metastasis (Baylin and Jones, 2011; Berdasco and Esteller, 2019).

There are a great number of histone modifications found to be involved in cancer development, but acetylation and methylation are the most commonly evaluated ones. They may occur in the same lysine histone residue and can be associated with active or repressed transcription (Yang et al., 2022).

3.1 Histone acetylation

Histone acetylation is a fast and reversible process controlled by HATs and HDACs. HATs are the “writers”, as they transfer acetyl groups to lysine residues in histone tails. HDACs are known as “erasers”, since they remove acetyl groups from histone tails (Hyun et al., 2017). HATs can be subdivided into three big families based on their primary sequence homology, similar structural features, and functional roles: GNAT family (Gcn5-related N-acetyltransferases); MYST family (named after the founding members MOZ, Ybf2/Sas3, Sas2, and Tip60) and p300/CBP (protein of 300 kDa and CREB-binding protein) (Huang et al., 2019). The enzymatic acetylation process involves the transfer of an acetyl group from acetyl-coenzyme A to the α/ε-amino group of lysine residues, leading to neutralization of their positive charge and reducing the affinity between histones and DNA (Grunstein, 1997). In general, histone acetylation levels are higher in promoter regions of active genes and can affect both the initiation and elongation of gene transcription (Hyun et al., 2017).

The dysregulation of histone acetylation patterns has been associated with cancer development, as it can be linked to increased oncogene expression (Gil et al., 2017). Several non-histone molecules have also been shown to be acetylated by HATs, such as p53, c-MYC and NF-κB, which can also be associated with the carcinogenic process (Singh et al., 2010; Harachi et al., 2021). In addition, genes that encode HATs can be translocated, amplified, overexpressed and/or mutated in various types of cancer, indicating that HAT inhibitors may represent a potential therapeutic approach for oncological diseases in the future (Hu et al., 2019).

Both natural and synthetic compounds have emerged as promising HAT inhibitors (Figure 2). Among the compounds reported (and recently reviewed elsewhere (Liu et al., 2023), CCS1477 is the most promising candidate, currently in Phase 1/2 clinical trials (De Bono et al., 2019; Brooks et al., 2019; Brooks et al., 2021). During preclinical studies, CCS1477 was capable of inhibiting cell proliferation in a wide range of cancer cell lines, controlling tumor growth more effectively than 5-AzaC (Brooks et al., 2021). CCS1477 is currently in trials to assess safety, tolerability, pharmacokinetics, and biological activity in patients with non-Hodgkin lymphoma, multiple myeloma, acute myeloid leukemia, high-risk myelodysplastic syndrome, metastatic castration-resistant prostate cancer (mCRPC), metastatic breast cancer, non-small cell lung cancer and advanced solid tumors (ClinicalTrials.gov ID: NCT04068597 and NCT03568656).

Figure 2
Diagram illustrating the role of chromatin-modifying enzymes in tumor progression. It shows readers, writers, and erasers affecting chromatin structure, influencing transcription. FDA-approved drugs and those in trials target these processes. Highlights include HDACi, BRDi, HATi, and EZH2i targeting specific proteins, impacting oncogene expression and tumor suppressor gene repression.

Figure 2. Histone modifications in oncogenesis and current drug-targets. Histones undergo acetylation through the catalytic action of histone acetyltransferases (HAT), also called “writers”. In a general context, the hyperacetylation of histones leads to an open chromatin conformation, facilitating accessibility to transcription factors. HAT inhibitors (HATi) interfere with HAT’s catalytic activity. Bromodomain (BRD)-containing proteins can regulate gene expression by several mechanisms, such as the recognition of acetylated histones (thus being called “readers”), enhancing transcription. Currently available BRD inhibitors (BRDi) are more specific to BET bromo domains, and act to prevent the interaction between the BRD and the acetyl group. Histone deacetylases (HDAC) regulate chromatin remodeling by removing acetyl residues from histone proteins, hence augmenting chromatin condensation and inhibiting gene transcription. Given that HDACs are usually overexpressed in cancer, several inhibitors (HDACi) were developed to interfere with the deacetylation process. As part of the Polycomb Repressive Complex 2 (PRC2), EZH2 catalyzes the trimethylation of histone three at lysine 27 (H3K27me3), which contributes to transcriptional silencing. EZH2 inhibitors (EZH2i) can specifically inhibit the H3K27me3 mark added by PRC2; AcCoa, Acetyl-CoA, Ac, acetyl-groups, SAM, S-adenosylmethionine, SAH, S-Adenosyl-L-homocysteine.

Garcinol is a natural compound and a potent inhibitor of p300/CBP-mediated acetylation that presents anticancer activity in several in vitro and in vivo models. However, studies regarding its therapeutic potential are still in early stages, as it requires improvement not only of its activity, but also selectivity and stability (Kopytko et al., 2021). Anacardic acid is derived from medicinal plants and was shown to effectively inhibit Tip60, a HAT member of the MYST family, activity in vivo (Sun et al., 2006; Sung et al., 2008); and p300/CBP and PCAF (p300/CBP-associated factor) in vitro (Balasubramanyam et al., 2003). Besides, it was also able to sensitize cells to ionizing radiation through the inhibition of Tip60-dependent activation of the ATM pathway, a central mediator required for cells to survive double-strand breaks (Sun et al., 2006; Bernstein et al., 2010). In addition, anacardic acid was shown to induce synthetic lethality in PTEN-deficient cancer cells in vitro and in vivo (Liu et al., 2020). However, detailed mechanistic studies are still necessary to fully comprehend its potential as a HAT inhibitor, and to enter preclinical and clinical studies.

3.2 Histone deacetylation

There are 18 human HDACs grouped according to their yeast orthologs, subcellular location, and catalytic site specificities (Zn2+ dependent or NAD-dependent) into four classes: class I (HDACs 1, 2, 3, and 8), which are mostly located in the nucleus; class II, which is further classified into two groups: class IIa (HDACs 4, 5, 7, 9), and class IIb (HDACs 6 and 10), located both in the cytoplasm and nucleus; class III (SIRT1, SIRT2, SIRT3, SIRT4, SIRT5, SIRT6, and SIRT7) located in the cytoplasm, mitochondria, and nucleus; and class IV (HDAC11) located in the plasma membrane, cytoplasm and nucleus (Ho et al., 2020; Li et al., 2020). Histone deacetylation results in compact and supercoiled chromatin, which is associated with transcriptional inhibition (Manal et al., 2016).

Currently, the HDAC inhibitors (HDACi) available and/or in clinical trials (Figure 2) are usually not selective and target the classes I, II, and IV HDACs, but not class III due to their different catalytic mechanism (Witt et al., 2009). HDACi can be classified into four groups, hydroxamates (Vorinostat, Belinostat, Panobinostat), benzamide derivatives (Entinostat, Tucidinostat), cyclic peptides (Romidepsin) and aliphatic acid (Valproic Acid) (Hontecillas-Prieto et al., 2020). Vorinostat (also known as suberoylanilide hydroxamic acid, SAHA) inhibits class I and II HDACs and it was the first HDACi approved by the FDA for the treatment of Cutaneous T-cell Lymphoma (CTCL) in 2006, with approximately 30% of the patients showing clinical benefit (Mann et al., 2007). Despite its initial promise to be beneficial for various tumors, its use as monotherapy is restricted to CTCL patients when other treatment options have failed. Although it has presented almost no benefit as monotherapy (Berdasco and Esteller, 2019; Pan et al., 2016), it is largely tested in combinatorial strategies for a variety of solid tumors (nine ongoing trials on solid tumors–identified in ClinicalTrials.gov, last accessed on 22 February 2024). Mechanistically, SAHA inhibits HDACs by binding to their active sites, resulting in the suppression of genes associated with cell cycle progression and tumor growth, such as cyclin D1, and in the induction of p21 activation (Natarajan et al., 2018). However, it must be noticed that resistance may occur. A recently published study showed that SAHA and Panobinostat induce NEDD9 expression and promote breast cancer metastasis, which might be one of the reasons for therapeutic failure (Hu et al., 2023).

Belinostat (PXD101), a second-generation analogue of Vorinostat, is a pan-HDAC that inhibits all zinc-dependent HDAC enzymes, with high affinity for class I HDACs 1-3, but also class II HDACs 6, 9, and 10, as well as class IV HDAC (O’Connor et al., 2015). It received accelerated approval in 2014 for the treatment of relapsed or refractory Peripheral T-Cell Lymphoma (PTCL) patients (Lee et al., 2015). A limitation of both Belinostat and Vorinostat is their relatively short half-lives in the bloodstream, due to their rapid metabolic degradation, which negatively affects their effectiveness as drugs (Kenny et al., 2020).

Panobinostat (Farydak) also received accelerated approval in 2015 for the treatment of drug-resistant multiple myeloma in combination with the proteasome inhibitor bortezomib (Sivaraj et al., 2017). However, its approval by FDA was withdrawn in 2022 due to incomplete post marketing clinical trials to verify its clinical benefit (Federal Register Doc. 2022–06182, Docket No. FDA-2022-N-0352). Currently, it is the only HDACi approved by the European Medicines Agency (Tzogani et al., 2018).

Entinostat (MS-275 or SNDX-275) is a synthetic benzamide HDACi, which selectively inhibits class I and IV HDACs. Compared to other HDACi, Entinostat has a prolonged half-life, allowing better dose adjustments (Gore et al., 2008). Entinostat has demonstrated promising antitumor activity in both in vitro and in vivo cancer models. Preclinical studies have shown promising results for several types of solid tumors when Entinostat was combined with other targeted therapies and chemotherapeutic agents, resulting in enhanced immune activity, drug synergy, and the ability to overcome treatment resistance (Ruiz et al., 2015; Smith et al., 2018; Hicks et al., 2021). However, a recent Phase 3 study (ClinicalTrials.gov ID: NCT02115282) did not report clinical benefit supporting the combination of Exemestane and Entinostat for advanced breast cancer (Connolly et al., 2021). The combination of Entinostat with Olaparib in vitro was shown to sensitize homologous recombination-proficient ovarian cancer cells to PARP inhibitors, potentializing the effect of the drug by reducing BRCA1 expression (Gupta et al., 2021). A Phase 1/2 trial explored this combination, but no results were published yet (ClinicalTrials.gov Identifier: NCT03924245). However, these findings indicate that Entinostat is a promising drug for the treatment of solid tumors, especially breast and ovarian cancer.

Romidepsin (also known as depsipeptide, FK228) is the only natural HDACi approved by the FDA to treat CTCL and PTCL (Coiffier et al., 2012; Piekarz et al., 2009). It was first identified as a compound called FR901228, isolated from the bacteria Chromobacterium violaceum (Nakajima et al., 1998), and its active form inhibits class I HDACs, with a slight effect against class II HDAC (VanderMolen et al., 2011). Also, it can induce cell cycle arrest and apoptotic cell death in several solid tumor cells, such as colon cancer (Shi et al., 2021). Thus, Romidepsin might represent a promising treatment option for solid tumors in the next few years.

3.3 Histone methylation

Histone methylation is a covalent modification that occurs mainly on lysine and arginine residues using SAM as methyl donor (Greer and Shi, 2012). The effect of histone methylation may vary according to the specific amino acid residue modified (H3K4 and H3K27 methylation have different effects, for example,), number of methyl groups added (mono-, di- or tri-methylated lysines; and mono-, as well as symmetrically or asymmetrically di-methylated arginines), and location of the modified histones within the genome (promoter or gene body, for example,) (Lan and Shi, 2009). Methylation of lysines on H3 and H4, such as H3K4, H3K9, H3K9, H3K27, H3K36, H3K79 and H4K20, are the most well-known histone methylation modifications and some of them are preferentially associated with gene activation or silencing (Barski et al., 2007; Greer and Shi, 2012).

Among HMTs, the Enhancer of Zeste Homolog 2 (EZH2) is one of the most studied enzymes. EZH2 is the catalytic subunit of the Polycomb Repressive Complex 2 (PRC2), which regulates cell development by compacting chromatin and suppressing genes. EZH2 specifically targets H3K27 residues, causing transcription repression through their trimethylation (H3K27me3), as it is a repressive epigenetic mark that favors a closed chromatin state. EZH2 was firstly found upregulated in prostate cancer and was associated with poor prognosis (Varambally et al., 2002). Now, it is known that both solid and hematologic malignancies can harbor mutations that affect EZH2 activity. There is evidence of its dysregulation in several tumors, such as breast cancer (Kleer et al., 2003), bladder cancer (Wu et al., 2016), pancreatic cancer (Wang et al., 2019), oral cancer (Shih et al., 2017), head and neck cancer (Mochizuki et al., 2018), and others (Kim and Roberts, 2016). Additionally, it has been demonstrated that EZH2 expression by cancer cells can suppress anti-cancer immune response, diminishing CD8+ T cell infiltration in the tumor microenvironment (Peng et al., 2015).

The only EZH2 inhibitor approved by FDA is Tazemetostat (Tazverik) (Figure 2), used for the treatment of metastatic or locally advanced epithelioid sarcoma (Gounder et al., 2020) and follicular lymphoma (Julia and Salles, 2021). Tazemetostat can also inhibit EZH1 activity, which is a homolog of EZH2 within the PRC2 complex with a much lower methyltransferase activity (Margueron et al., 2008). It has been shown to be effective and safe in clinical trials, with tolerable side effects. Thus, it is currently in clinical trials for other types of cancer (Duan et al., 2020).

A few compounds targeting EZH2 are under development and ongoing preclinical or Phase 1/2 clinical trials. So far, studies using in vivo models demonstrated growth inhibition in bladder tumors, and when administered to two human patients with a rare and treatment-resistant bladder cancer, almost a complete tumor regression was observed (Adema and Colla, 2022). SHR2554 is a promising EZH2 inhibitor being evaluated for relapsed or refractory mature lymphoid neoplasms and is currently in Phase 1 trial. The first results demonstrated an acceptable safety profile and promising antitumor activity (Song et al., 2022). CPI-1205 is a potent, selective, SAM-competitive EZH2 inhibitor evaluated as a monotherapy for B-Cell Lymphoma. It has also been studied in combination with Ipilimumab for advanced solid tumors, but its trial has been stopped prior to proceeding to Phase 2 (ClinicalTrials.gov ID: NCT03525795). Currently, CPI-1205 is in Phase 1/2 trial for mCRPC, in combination with either enzalutamide or abiraterone/prednisone (Taplin et al., 2019) (ClinicalTrials.gov ID: NCT04068597 and NCT03568656).

3.4 Bromodomain inhibitors

A group of domains, named bromodomains (BRDs), enable “reader” proteins to specifically recognize acetylated residues in histone tails (Zeng and Zhou, 2002). The BRD-proteins mainly regulate gene transcription and the recruitment of molecular partners. They are subclassified into two families based on their structure, the Bromodomain and Extra-Terminal Domain (BET) and non-BET families. The BET family is composed by BRD2, BRD3, BRD4, and BRDT, and plays important roles in cancer by directly regulating the expression of cancer-related genes such as MYC (Bandopadhayay et al., 2014), and the transcription factor NF-κB (Hajmirza et al., 2018). The aberrant expression of BET proteins promotes oncogenesis by blocking cell differentiation and driving cell growth (Pérez-Salvia and Esteller, 2017). Fourteen clinical trials are ongoing to evaluate the potential of candidate BRD inhibitors, mostly for solid tumors, but also for hematological malignancies (ClinicalTrials.gov, last accessed on 22 February 2024). Nine are in Phase 1, three in Phase 2, and two in Phase 1/2. Although in its infancy, inhibiting BRD-proteins has a significant potential as novel drugs in the field of cancer therapy, as reviewed elsewhere (Pérez-Salvia and Esteller, 2017).

4 Mutant isocitrate dehydrogenase-based therapies

Although not initially thought to be directly associated with epigenetics, the tricarboxylic acid cycle enzyme Isocitrate Dehydrogenase (IDH), when mutated in cancer, has been shown to affect different epigenetic mechanisms. Wild-type IDH catalyzes the conversion of isocitrate into α-ketoglutarate (α-KG), with the production of NADPH in the process. Instead, the mutant form of the enzyme is capable of converting α-KG into the so-called oncometabolite D-2-hydroxyglutarate (D-2HG), a reaction that consumes NADPH. Alpha-KG is a cofactor for a number of dioxygenases (α-KG-dependent dioxygenases), including HDMs and TETs (Ten-Eleven Translocation), the latter involved in DNA demethylation. TETs are able to consecutively oxidize 5-meC, 5-hydroxymethylcytosine (5-OHmeC) and 5-carboxylcytosine (5-CaC) into 5-OHmeC, 5-CaC and 5-formylcytosine, respectively. The two last bases are then recognized by the base-excision repair machinery, leading to their replacement by an unmethylated cytosine. Therefore, D-2HG, produced by mutant IDH, competitively inhibits HDMs and TETs, impairing histone and DNA demethylation, respectively, and leads to chromatin restructuring, blockade of cell differentiation and induction of a stem-like transcriptional program, among other effects (Figueroa et al., 2010; Lu et al., 2012; Turcan et al., 2018).

IDH has two isoforms, cytoplasmic IDH1 and mitochondrial IDH2. Both the genes coding these enzymes have been found mutated in cancer, leading to the production of D-2HG, but show different hotspots and affect different tumor types. While the arginine 132 residue (R132) is more commonly affected in IDH1, both the residue arginine 172 (R172, analogous to R132 in IDH1) and arginine 140 (R140) can be mutated in IDH2. IDH1 mutations are more commonly observed in chondrosarcomas (13.1%), cholangiocarcinomas (51.0%) and gliomas (71.2%); IDH2 is more commonly affected in angioimmunoblastic T cell lymphoma (25.0%) and sinonasal undifferentiated carcinoma (82.0%); and AML shows a more similar percentage of mutations in the two genes (IDH1 - 13.1%; IDH2 - 18.2%) (Pirozzi and Yan, 2021).

Due to the high prevalence of IDH mutations in different cancer types and the reversibility potential of the epigenetic alterations induced by D-2HG, inhibitors of the mutant form of the enzyme have been developed (Figure 3). Mutant IDH harbors an unstable regulatory segment, which favors the binding of inhibitors to its allosteric site (Ma and Yun, 2018). In turn, inhibitors prevent the conformational change necessary for catalysis. Mutant IDH1 and IDH2 present different allosteric inhibition pockets (Ma and Yun, 2018), which enabled the development of specific inhibitors. Ivosidenib is an IDH1-mutant-specific inhibitor developed after chemical optimizations of AGI-5198, the first inhibitor developed. It is currently approved by the FDA to treat adult patients with relapsed or refractory AML carrying an IDH1 mutation as detected by an FDA-approved test (AG-120, Tibsovo; Agios Pharmaceuticals, Inc., MA, USA (Food and Drug Administration, 2018)). The combination of ivosidenib with 5-AzaC further showed a longer event-free survival in IDH1-mutant AML patients relative to patients treated with 5-AzaC and placebo (Montesinos et al., 2022). In addition, a Phase 3 clinical trial showed improved progression-free survival in patients with advanced, IDH1-mutant cholangiocarcinoma treated with ivosidenib compared with placebo (median 2.7 months [95% CI 1.6–4.2] vs. 1.4 months [1.4–1.6]) (Abou-Alf et al., 2020). Overall survival was also improved, despite a high rate of crossover (Zhu et al., 2021).

Figure 3
Comparison of metabolic pathways in normal and cancer cells. The left section shows the normal cell pathway with isocitrate converting to alpha-ketoglutarate via IDH1 and IDH2, leading to the demethylation of DNA and histones. The right section illustrates cancer cells with IDH mutations resulting in the production of 2-Hydroxyglutarate, inhibition of demethylation enzymes, and accumulation of methylation. FDA-approved drugs target these mutant pathways.

Figure 3. Scheme of wild-type and mutant IDH1/2 molecular functions. Wild-type IDH1/2 enzymes convert isocitrate into α-ketoglutarate, which is necessary for the activity of Ten-Eleven Translocation (TET) enzymes and Histone Demethylases (HDM), promoting demethylation of DNA and histones, respectively. IDH1/2mut enzymes convert the wild-type IDH product, α-ketoglutarate, into the oncometabolite 2-hydroxyglutarate (2-HG) both in the cytosol (IDH1mut) and in the mitochondria (IDH2mut). In a competitive manner, 2-HG inhibits the activity of TET and HDM enzymes, resulting in a hypermethylation phenotype. Besides, 2-HG is capable of inducing metabolic reprogramming in these cells, further leading to DNA damage. IDH1muti and IDH2muti block this abnormal production of 2-HG, enabling TET and HDM normal function.

Olutasenib is another IDH1-mutant-specific inhibitor recently approved by the FDA to treat adult patients with relapsed or refractory AML. It differs from ivosidenib in chemical structure and binding properties, but it also induces cell differentiation in IDH1-mutant primary human AML cells (Venugopal and Watts, 2023). Additionally, it showed better 18-month survival rates (78% vs. 50%) and better median overall survival (11.6 vs. 8.8 months) relative to ivosidenib in their registrational trials (Venugopal and Watts, 2023).

Since AML patients carry mutations in IDH2 in a similar frequency to IDH1, it is not surprising that IDH2-mutant-specific inhibitors are also indicated for its treatment. Enasidenib, approved in 2017 by the FDA, suppresses D-2HG production by both R140 and R172 IDH2 mutants, which precedes but is not predictive of clinical response. Interestingly, mutations in NRAS and other MAPK signaling effector genes were enriched in nonresponsive AML patients (Amatangelo et al., 2017), indicating that the mutational profile of these genes should also be evaluated prior treatment indication in addition to IDH2 mutations. More recently, enasidenib also showed clinical benefit in heavily treated older AML patients carrying IDH2 mutations in a Phase 3 trial (de Botton et al., 2023).

Vorasidenib, an inhibitor of both mutant IDH1 and IDH2, was tested in a double-blind Phase 3 trial which included 331 patients with residual or recurrent grade 2 IDH-mutant glioma (Mellinghoff et al., 2023). The first results showed that progression-free survival was improved by vorasenib relative to placebo (27.7 vs. 11.1 months). The INDIGO trial is currently active, but not recruiting, with an estimated date of completion in 2027 (ClinicalTrials.gov ID: NCT04164901). However, vorasidenib (Voranigo, Servier Pharmaceuticals LLC), has already received FDA approval for adult and pediatric patients (≥12 years) with grade 2 astrocytoma or oligodendroglioma harboring a susceptible IDH1 or IDH2 mutation.

In addition to IDH-mutant inhibitors, cancer cells carrying IDH mutations have also been shown to be more sensitive to conventional chemotherapy and radiotherapy. as a consequence of metabolic reprogramming associated with the consumption, instead of production, of NADPH by the mutant enzymes (Tateishi et al., 2017; Lu et al., 2017). This reprogramming leads to reduced NAD+ levels (the expression of the NAD+ salvage pathway enzyme nicotinate phosphoribosyltransferase - NAPRT1 - is downregulated), and to the disturbance of NAD+-dependent pathways (Tateishi et al., 2015; Nagashima et al., 2020). Indeed, two independent groups have shown in 2017 that the PARP1-associated DNA repair pathway, highly dependent on NAD+ levels, is severely compromised in IDH-mutant cells, making them especially sensitive to PARP inhibitors (Lu et al., 2017; Sulkowski et al., 2017).

Taken together, all the data presented here show quite a promising and fast advance on targeting the vulnerabilities of IDH-mutant cells. As observed for other epigenetic therapies, the major challenge seems to lie on the effectiveness in solid tumors. More specifically, gliomas have an additional hurdle, the blood-brain barrier. Therefore, new research and the development of new drugs should focus on overcoming these limitations.

5 RNA-based therapies

Non-coding RNAs (ncRNAs) have emerged as potential targets for cancer therapy, as they have been shown to participate in many stages of carcinogenesis (Winkle et al., 2021). Classified according to their length, ncRNAs can be stratified into long-noncoding RNAs (lncRNA, >200 nucleotides) and small non-coding RNAs, which include microRNAs (miRNAs). They can modulate gene expression by affecting the chromatin structure, transcriptional regulation, and post-transcriptional modifications (Kumar et al., 2020). As an example, they can inhibit the expression of cancer-related genes through RNAi (Miranda et al., 2019; Statello et al., 2021). In this section, we will provide an overview of epigenetic therapeutic approaches, with a particular emphasis on the role of ncRNA-based therapies in the context of cancer treatment (Figure 4).

Figure 4
Diagram depicting strategies targeting non-coding RNAs in cancer therapy. (A) ASOs interact with lncRNAs, causing cleavage or blocking protein binding. (B) CRISPR-Cas9 edits lncRNA genes, silencing expression. (C) Plasmid-mediated therapy involves H19 gene manipulation to induce cancer cell death. (D) Oncogenic miRNA interacts with tumor suppressor mRNA, promoting cancer progression; anti-miR stabilizes mRNA. (E) Mimic miRNA binds target mRNA, leading to degradation of cancer-related mRNA. The central focus highlights non-coding RNAs, including lncRNA and miRNA.

Figure 4. Approaches through which epidrugs can target ncRNAs. (A) Antisense oligonucleotides (ASOs) can be designed to bind to complementary sequences within the target lncRNA, leading to its degradation or to the inhibition of its interaction with other molecules. This leads to the disruption of oncogenic lncRNAs function and to the inhibition of cancer cell growth or cell death promotion. (B) Application of CRISPR/Cas9 technology to silence the transcription of lncRNAs. (C) Mechanism by which the BC-819 plasmid, containing the DTA-H19 construct, contributes to tumor suppression. BC-819 plasmid is introduced into cancer cells, it results in the overexpression of DTA-H19 which selectively targets and kills cancer cells, leading to tumor suppression. (D) Inhibition of oncomiRs with synthetic anti-miRs. This mechanism prevents oncomiR binding to target tumor supressor mRNAs, increasing their levels and resulting in the suppression of cancer cell proliferation. (E) Synthetic miRNA mimics can be used to target overexpressed mRNAs in cancer cells, leading to their degradation and ultimately inhibiting oncogenic pathways.

5.1 Long non-coding RNAs

Long non-coding RNAs (lncRNAs) have emerged as pivotal players in the regulation of gene expression and epigenetic processes (Wu et al., 2021). These RNA molecules, typically longer than 200 nucleotides, constitute most non-coding RNAs. Unlike protein-coding RNAs, lncRNAs do not serve as templates for protein synthesis; instead, they play a role in the regulation of different cellular processes, such as chromatin remodeling and transcriptional regulation (Martianov et al., 2007; Wang and Chang, 2011). In recent years, lncRNAs aberrant expression has been observed in several types of cancer, contributing to tumor development and progression (Chi et al., 2019; Peng et al., 2018; Xu et al., 2018). Extensive preclinical research has unveiled the potential of lncRNAs as therapeutic targets in cancer, while clinical trials exploring the application of lncRNAs in therapy are in early stages (Chen et al., 2021).

Different approaches have been used in preclinical studies to target lncRNAs. Antisense oligonucleotides (ASOs) are single-stranded nucleic acid polymers with a length of 15–25 nucleotides. ASOs can be designed to block lncRNA interaction with their binding proteins, or to induce lncRNA’s degradation (Nguyen et al., 2020). In lung and breast cancer, the downregulation of lncRNA-MALAT1 (Metastasis Associated in Lung Adenocarcinoma Transcript 1) with ASOs led to tumor growth inhibition and metastasis (Gutschner et al., 2013; Arun et al., 2016). Similarly, limited tumor formation and metastasis have been observed after ASO-mediated downregulation of lncRNA-SChLAP1 (SWI/SNF Complex Antagonist Associated With Prostate Cancer 1), which is upregulated in prostate cancer (Huarte, 2015). CRISPR/Cas9 (Clustered Regularly Interspaced Short Palindromic Repeats, CRISPR-Associated Endonuclease 9, Cas9) has also been used to induce the total or partial knockdown of lncRNAs (Li et al., 2023). Zhuo et al. identified lncRNA-GMAN (Gastric Cancer Metastasis Associated) as highly expressed in gastric cancer, and its deletion using the CRISPR/Cas9 system resulted in a reduction of invasiveness and ability to form metastases, improving overall survival in mice (Zibitt et al., 2021; Zhuo et al., 2019).

Another approach for cancer treatment is plasmid-mediated therapy. H19 was one of the first lncRNAs identified and plays a significant role both in embryonic development and tumorigenesis (Smits et al., 2008). In preclinical studies, researchers examined the effectiveness of a plasmid known as BC-819 (DTA-H19), which contains the gene encoding the A subunit of diphtheria toxin under the regulation of the H19 promoter. DT-A expression is activated by the presence of H19 transcription factors, which are upregulated in tumor cells (Lu et al., 2018; Smaldone and Davies, 2010). In vivo models demonstrated tumor growth inhibition in bladder tumors after administration of BC-819. Furthermore, an almost complete tumor regression was observed in two human patients with a rare and treatment-resistant bladder cancer. Phase 1 and 2 trials evaluated the maximum tolerated dose and the efficacy of BC-819, revealing a favorable safety profile and evidence of anti-tumor activity in at least six out of the 14 patients treated (ClinicalTrials.gov ID: NCT00393809). A similar Phase 2 study is being conducted for other types of cancer such as advanced ovarian cancer, primary peritoneal carcinoma, and unresectable locally advanced pancreatic cancer. Additionally, the safety and efficacy of BC-819 administered with gemcitabine have been evaluated in patients with locally advanced pancreatic adenocarcinoma (ClinicalTrials.gov ID: NCT01413087). None of the above-mentioned clinical trials advanced to Phase 3 so far.

Currently, most clinical trials focusing on lncRNAs in cancer assess their expression levels as potential biomarkers for the detection, prognosis, and complementary diagnosis, including non–small cell lung carcinoma (NSCLC), acute myeloid leukemia (AML), colorectal cancer (CRC), hepatocellular cancer, thyroid cancer, and others (ClinicalTrials.gov, last accessed on 26 February 2024). These trials represent a crucial step toward translating the preclinical promise of lncRNA-targeted epigenetic therapies into clinical practice, potentially opening novel possibilities for cancer treatment.

5.2 miRNAs

Approximately 19–24 nt long, miRNAs are another subclass of ncRNAs. Their primary function is to silence specific target genes through the RNA-Induced Silencing Complex (RISC) (Kim et al., 2014). Over the last 2 decades, research has identified miRNAs, known as oncomirs, that are up- or downregulated in cancer. Oncomirs target tumor suppressor genes (Kumar et al., 2020), while other miRNAs act as tumor suppressors by targeting oncogenes (Peng and Croce, 2016).

Three miRNA-based drugs have been approved to advance from Phase 1 to Phase 2 trials for different cancer types (Chakraborty et al., 2021). TargomiRs, more specifically miR-16 mimic, were the first to complete Phase 1 in patients, acting as tumor suppressor in pleural mesothelioma and non-small cell lung cancer (van Zandwijk et al., 2015). This drug also includes a delivery vehicle and an anti-EGFR antibody. Interestingly, miR-16 targets include genes related to cancer progression, such as CCND1 and BCL2 (JR, 2018; Pekarsky et al., 2018). In vivo studies have shown a well-accepted dosage and early signals of excellent antitumor response in patients. Phase 2 trials plan to include TargomiRs combined with standard chemotherapy (ClinicalTrials.gov ID: NCT02369198) (van Zandwijk et al., 2017; Reid et al., 2013).

MRX34 is a liposomal formulation of miR-34a designed to restore endogenous miR-34a levels. It was first tested in primary liver cancer, small cell lung cancer, lymphoma, multiple myeloma, and renal cell carcinoma (Bader, 2012). This drug exhibited remarkable treatment effectiveness by suppressing multiple oncogenic pathways, including WNT/β-catenin, MAPK, c-MET, Hedgehog, and VEGF, along with genes associated with the p53 pathway (Daige et al., 2014). However, clinical studies lasted only 3 years, as the drug was suspended due to immune-related severe side effects (ClinicalTrials.gov ID: NCT01829971) (Hong et al., 2020).

Cobomarsen (anti-miR-155) is an inhibitor of miR-155, a miRNA upregulated in patients with lymphoma and leukemia, and associated with a poor prognosis (Seto et al., 2018). Both preclinical studies and Phase 1 clinical trials showed miR-155 inhibition and tumor shrinkage, as well as promising results in terms of efficacy, safety, and tolerability (Anastasiadou et al., 2021). Owing to its therapeutic potential and absence of adverse effects, a Phase 2 clinical trial (SOLAR study) investigated Cobomarsen effectiveness in patients with mycosis fungoides subtype of CTCL and disease progression following treatment with Vorinostat, an already approved drug for the treatment of CTCL (Anastasiadou et al., 2021). However, SOLAR study (ClinicalTrials.gov ID: NCT03713320 and NCT03837457) showed lack of superiority relative to Vorinostat and was discontinued (miRagen Therapeutics Inc, 2020).

As reviewed elsewhere, there are several ongoing clinical trials for many types of cancer (i.e., breast, glioma, head and neck, ovarian, and non-small cell lung cancer) evaluating miRNAs potential as diagnostic, therapeutic, and prognostic biomarkers (Reddy, 2015). When searching for the terms “miRNA and cancer” in the clinical trial database, only 12 (out of 42) interventional studies were active or had completed recruitment (ClinicalTrials.gov, last accessed on 22 February 2024). Most of them are focused on the detection of circulating miRNAs as biomarkers to assess treatment response or as outcome indicators, including biomarkers of resistance to neoadjuvant chemotherapy, therapeutic response and hormone sensitivity in breast cancer, and predictive factors for resistance to treatment in metastatic castration-resistant prostate cancer, among others. None of them aimed directly at the development of novel cancer therapies.

6 Future directions

Despite the mechanisms and ongoing trials described in this review, the practical future of epigenetic therapy will likely depend on emerging technologies that offer greater selectivity and precision, such as locus-specific epigenome editing using CRISPR systems and targeted protein degradation (PROTACs/Ab-PROTACs). Achieving this goal requires both high specificity and a clear understanding of the mechanistic basis of these platforms.

CRISPR-based epigenome editing, particularly using catalytically inactive dCas9, is a promising strategy to manipulate DNA methylation or demethylation at defined genomic loci, enabling the reactivation of tumor suppressor genes or the silencing of oncogenes without inducing DNA breaks (Urbano et al., 2019). Targeted methylation can be achieved by fusing dCas9 to the catalytic domain of DNMT3A (Vojta et al., 2016), whereas targeted demethylation uses dCas9 fused to the TET hydroxylase catalytic domain (Choudhury et al., 2016). These tools have shown robust activity in preclinical cancer models, including melanoma and colorectal cancer, and represent a shift toward programmable epigenetic manipulation, as highlighted in the recent review by Gupta et al. (Gupta et al., 2025). Nonetheless, several limitations remain, including the need to improve editing efficiency in deep tissues, minimize off-target effects, and develop delivery systems that are both safe and tumor-specific. Additional challenges involve the transient nature of epigenetic modifications and intratumoral heterogeneity, which restricts durability and clinical efficacy.

As DNMTi and HDACi continue to face limitations related to efficacy, toxicity, and resistance, targeted protein degradation (TPD) emerges as a complementary strategy capable of eliminating epigenetic regulators through proteasomal or lysosomal pathways. Proteolysis Targeting Chimera (PROTAC) and antibody-PROTAC (Ab-PROTAC) conjugates can selectively degrade key epigenetic proteins such as BET family members (e.g., BRD4), HDACs, EZH2, and others (Giardina et al., 2021). The review by Dai et al. (Dai et al., 2024) provides a comprehensive overview of TPD approaches, including PROTACs and alternative modalities such as molecular glues, ATTECs, SNIPERs, and LYTACs. These strategies have demonstrated superior antitumor activity compared with conventional inhibitors in leukemia, breast cancer, and xenograft models, largely through c-Myc downregulation and the ability to overcome resistance. Collectively, these advances highlight the potential of TPD to redefine epigenetic therapy by enabling complete removal of pathogenic proteins and guiding next-generation drug design toward improved selectivity and oral bioavailability.

Finally, biosynthetic nanoparticle platforms, including biomimetic nanoparticles, artificial exosomes, and co-delivery systems, have shown enhanced tumor specificity, improved drug retention, and markedly reduced systemic toxicity in animal models and early clinical studies. Mesenchymal stem cell-derived exosomes have been used to deliver therapeutic miRNAs such as miR-199a, increasing tumor sensitivity to chemotherapy while minimizing adverse effects (Lou et al., 2020). Nanoparticles cloaked with M1 macrophage-derived exosomal membranes have also improved intratumoral delivery of epigenetic inhibitors such as SAHA, resulting in selective tumor accumulation, stronger antitumor efficacy, and minimal systemic toxicity in lung cancer models (Li et al., 2021). Co-encapsulation strategies combining epigenetic drugs with chemotherapeutics in biomimetic nanoparticles further enhance tumor inhibition and reduce side effects, exemplified by the co-delivery of temozolomide with a bromodomain inhibitor in glioblastoma (Liu et al., 2022). Although most studies remain preclinical, advancing these systems into controlled clinical trials is essential, as they hold strong promise for improving efficacy and reducing cytotoxicity in epigenetic therapies.

7 Conclusion

Epigenetic regulation plays a pivotal role in the development and progression of cancer, as it can induce tumor suppressor gene silencing, activation of oncogenes, and genomic instability. In addition, several studies indicate that aberrant epigenetic profiles contribute to anticancer treatment resistance as reviewed elsewhere (Wang et al., 2023). Thus, targeting epigenetic regulators could provide additional strategies to overcome drug resistance and/or increase tumor sensitivity (Cano-Rodriguez et al., 2016; Nebbioso et al., 2012). While therapies targeting epigenetic regulators have achieved notable success and approvals by the regulatory agencies to treat hematologic malignancies (Table 1), their application in solid tumors is still in its early stages.

Taken together, the lack of specificity, high toxicity and poor bioavailability are usually pointed as the main reasons for treatment failure of solid tumors with epigenetic-based drugs. Additionally, the high complexity and interconnection of epigenetic mechanisms, as well as the high heterogeneity of epigenetic alterations in solid cancers (both inter- and intratumor) make it difficult to believe that targeting a single enzyme or a single mechanism might be the answer we are craving for. However, the combination of epigenetic drugs with other therapeutic approaches has shown promising results, especially in the era of immune therapy. Finally, the validation of epigenetic biomarkers for cancer diagnosis, prognosis and prediction of treatment response represents another poorly explored field with a high potential to improve cancer patient care.

Author contributions

TS: Investigation, Writing – original draft, Data curation. IS: Writing – original draft, Investigation, Data curation. LRP: Writing – review and editing. SS-L: Conceptualization, Funding acquisition, Writing – original draft, Supervision, Writing – review and editing, Data curation.

Funding

The author(s) declared that financial support was received for this work and/or its publication. SS-L is supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico-CNPq [#310799/2021-0], Fundação de Amparo à Pesquisa do estado do Rio de Janeiro – FAPERJ [JCNE #E-26/202.918/2019; JCNE #E-26/200.256/2023].

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2025.1622115/full#supplementary-material

References

Abou-Alfa, G. K., Macarulla, T., Javle, M. M., Kelley, R. K., Lubner, S. J., Adeva, J., et al. (2020). Ivosidenib in IDH1-mutant, chemotherapy-refractory cholangiocarcinoma (ClarIDHy): a multicentre, randomised, double-blind, placebo-controlled, phase 3 study. Lancet Oncol. 21, 796–807. doi:10.1016/S1470-2045(20)30157-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Adema, V., and Colla, S. (2022). EZH2 inhibitors: the unpacking revolution. Cancer Res. 82, 359–361. doi:10.1158/0008-5472.CAN-21-4311

PubMed Abstract | CrossRef Full Text | Google Scholar

Amatangelo, M. D., Quek, L., Shih, A., Stein, E. M., Roshal, M., David, M. D., et al. (2017). Enasidenib induces acute myeloid leukemia cell differentiation to promote clinical response. Blood 130, 732–741. doi:10.1182/blood-2017-04-779447

PubMed Abstract | CrossRef Full Text | Google Scholar

Anastasiadou, E., Seto, A. G., Beatty, X., Hermreck, M., Gilles, M.-E., Stroopinsky, D., et al. (2021). Cobomarsen, an oligonucleotide inhibitor of miR-155, slows DLBCL tumor cell growth in vitro and in vivo. Clin. Cancer Res. 27, 1139–1149. doi:10.1158/1078-0432.CCR-20-3139

PubMed Abstract | CrossRef Full Text | Google Scholar

Arun, G., Diermeier, S., Akerman, M., Chang, K.-C., Wilkinson, J. E., Hearn, S., et al. (2016). Differentiation of mammary tumors and reduction in metastasis upon Malat1 lncRNA loss. Genes Dev. 30, 34–51. doi:10.1101/gad.270959.115

PubMed Abstract | CrossRef Full Text | Google Scholar

Bader, A. G. (2012). miR-34 – a microRNA replacement therapy is headed to the clinic. Front. Genet. 3, 3. doi:10.3389/fgene.2012.00120

PubMed Abstract | CrossRef Full Text | Google Scholar

Balasubramanyam, K., Swaminathan, V., Ranganathan, A., and Kundu, T. K. (2003). Small molecule modulators of histone acetyltransferase p300. J. Biol. Chem. 278, 19134–19140. doi:10.1074/jbc.M301580200

PubMed Abstract | CrossRef Full Text | Google Scholar

Bandopadhayay, P., Bergthold, G., Nguyen, B., Schubert, S., Gholamin, S., Tang, Y., et al. (2014). BET bromodomain inhibition of MYC -Amplified medulloblastoma. Clin. Cancer Res. 20, 912–925. doi:10.1158/1078-0432.CCR-13-2281

PubMed Abstract | CrossRef Full Text | Google Scholar

Bannister, A. J., and Kouzarides, T. (2011). Regulation of chromatin by histone modifications. Cell Res. 21, 381–395. doi:10.1038/cr.2011.22

PubMed Abstract | CrossRef Full Text | Google Scholar

Barski, A., Cuddapah, S., Cui, K., Roh, T.-Y., Schones, D. E., Wang, Z., et al. (2007). High-resolution profiling of histone methylations in the human genome. Cell 129, 823–837. doi:10.1016/j.cell.2007.05.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Baylin, S. B., and Jones, P. A. (2011). A decade of exploring the cancer epigenome — biological and translational implications. Nat. Rev. Cancer 11, 726–734. doi:10.1038/nrc3130

PubMed Abstract | CrossRef Full Text | Google Scholar

Berdasco, M., and Esteller, M. (2019). Clinical epigenetics: seizing opportunities for translation. Nat. Rev. Genet. 20, 109–127. doi:10.1038/s41576-018-0074-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Bernstein, J. L., Haile, R. W., Stovall, M., Boice, J. D., Shore, R. E., Langholz, B., et al. (2010). Radiation exposure, the ATM gene, and contralateral breast cancer in the women’s environmental cancer and radiation epidemiology Study. JNCI J. Natl. Cancer Inst. 102, 475–483. doi:10.1093/jnci/djq055

PubMed Abstract | CrossRef Full Text | Google Scholar

Brooks, N., Raja, M., Young, B. W., Spencer, G. J., Somervaille, T. C., and Pegg, N. A. (2019). CCS1477: a novel small molecule inhibitor of p300/CBP bromodomain for the treatment of Acute Myeloid leukaemia and multiple myeloma. Blood 134, 2560. doi:10.1182/blood-2019-124707

CrossRef Full Text | Google Scholar

Brooks, N., Knurowski, T., Hughes, A., Clegg, K., West, W., Pegg, N. A., et al. (2021). CCS1477, a novel p300/CBP bromodomain inhibitor, enhances efficacy of azacitidine and venetoclax in pre-clinical models of Acute Myeloid leukaemia and lymphoma. Blood 138, 3291. doi:10.1182/blood-2021-148295

CrossRef Full Text | Google Scholar

Brueckner, B., Garcia, B. R., Siedlecki, P., Musch, T., Kliem, H. C., Zielenkiewicz, P., et al. (2005). Epigenetic reactivation of tumor suppressor genes by a novel small-molecule inhibitor of human DNA methyltransferases. Cancer Res. 65, 6305–6311. doi:10.1158/0008-5472.CAN-04-2957

PubMed Abstract | CrossRef Full Text | Google Scholar

Cano-Rodriguez, D., Gjaltema, R. A. F., Jilderda, L. J., Jellema, P., Dokter-Fokkens, J., Ruiters, M. H. J., et al. (2016). Writing of H3K4Me3 overcomes epigenetic silencing in a sustained but context-dependent manner. Nat. Commun. 7, 12284. doi:10.1038/ncomms12284

PubMed Abstract | CrossRef Full Text | Google Scholar

Chakraborty, C., Sharma, A. R., Sharma, G., and Lee, S.-S. (2021). Therapeutic advances of miRNAs: a preclinical and clinical update. J. Adv. Res. 28, 127–138. doi:10.1016/j.jare.2020.08.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y., Li, Z., Chen, X., and Zhang, S. (2021). Long non-coding RNAs: from disease code to drug role. Acta Pharm. Sin. B 11, 340–354. doi:10.1016/j.apsb.2020.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Chi, Y., Wang, D., Wang, J., Yu, W., and Yang, J. (2019). Long non-coding RNA in the pathogenesis of cancers. Cells 8, 1015. doi:10.3390/cells8091015

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiappinelli, K. B., Strissel, P. L., Desrichard, A., Li, H., Henke, C., Akman, B., et al. (2015). Inhibiting DNA methylation causes an interferon response in cancer via dsRNA including endogenous retroviruses. Cell 162, 974–986. doi:10.1016/j.cell.2015.07.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Choudhury, S. R., Cui, Y., Lubecka, K., Stefanska, B., and Irudayaraj, J. (2016). CRISPR-dCas9 mediated TET1 targeting for selective DNA demethylation at BRCA1 promoter. Oncotarget 7, 46545–46556. doi:10.18632/oncotarget.10234

PubMed Abstract | CrossRef Full Text | Google Scholar

Christman, J. K. (2002). 5-Azacytidine and 5-aza-2′-deoxycytidine as inhibitors of DNA methylation: mechanistic studies and their implications for cancer therapy. Oncogene 21, 5483–5495. doi:10.1038/sj.onc.1205699

PubMed Abstract | CrossRef Full Text | Google Scholar

Christman, J. K., Mendelsohn, N., Herzog, D., and Schneiderman, N. (1983). Effect of 5-azacytidine on differentiation and DNA methylation in human promyelocytic leukemia cells (HL-60). Cancer Res. 43, 763–769.

PubMed Abstract | Google Scholar

Coiffier, B., Pro, B., Prince, H. M., Foss, F., Sokol, L., Greenwood, M., et al. (2012). Results from a pivotal, Open-Label, phase II Study of romidepsin in relapsed or refractory peripheral T-Cell lymphoma after prior systemic therapy. J. Clin. Oncol. 30, 631–636. doi:10.1200/JCO.2011.37.4223

PubMed Abstract | CrossRef Full Text | Google Scholar

Connolly, R. M., Zhao, F., Miller, K. D., Lee, M.-J., Piekarz, R. L., Smith, K. L., et al. (2021). E2112: randomized phase III trial of endocrine therapy plus entinostat or placebo in hormone receptor–positive advanced breast cancer. A trial of the ECOG-ACRIN Cancer Research Group. J. Clin. Oncol. 39, 3171–3181. doi:10.1200/JCO.21.00944

PubMed Abstract | CrossRef Full Text | Google Scholar

Dai, X.-J., Ji, S.-K., Fu, M.-J., Liu, G.-Z., Liu, H.-M., Wang, S.-P., et al. (2024). Degraders in epigenetic therapy: PROTACs and beyond. Theranostics 14, 1464–1499. doi:10.7150/thno.92526

PubMed Abstract | CrossRef Full Text | Google Scholar

Daifuku, R. (2019). Pharmacoepigenetics of novel nucleoside DNA methyltransferase inhibitors. Pharmacoepigenetics. Elsevier, 425–435. doi:10.1016/B978-0-12-813939-4.00007-3

CrossRef Full Text | Google Scholar

Daige, C. L., Wiggins, J. F., Priddy, L., Nelligan-Davis, T., Zhao, J., and Brown, D. (2014). Systemic delivery of a miR34a mimic as a potential therapeutic for liver cancer. Mol. Cancer Ther. 13, 2352–2360. doi:10.1158/1535-7163.MCT-14-0209

PubMed Abstract | CrossRef Full Text | Google Scholar

Daskalakis, M., Nguyen, T. T., Nguyen, C., Guldberg, P., Köhler, G., Wijermans, P., et al. (2002). Demethylation of a hypermethylated P15/INK4B gene in patients with myelodysplastic syndrome by 5-Aza-2′-deoxycytidine (decitabine) treatment. Blood 100, 2957–2964. doi:10.1182/blood.V100.8.2957

PubMed Abstract | CrossRef Full Text | Google Scholar

Davidson, S., Crowther, P., Radley, J., and Woodcock, D. (1992). Cytotoxicity of 5-Aza-2′-deoxycytidine in a mammalian cell system. Eur. J. Cancer 28, 362–368. doi:10.1016/S0959-8049(05)80054-1

PubMed Abstract | CrossRef Full Text | Google Scholar

De Bono, J. S., Cojocaru, E., Plummer, E. R., Knurowski, T., Clegg, K., Ashby, F., et al. (2019). An open label phase I/IIa study to evaluate the safety and efficacy of CCS1477 as monotherapy and in combination in patients with advanced solid/metastatic tumors. J. Clin. Oncol. 37, TPS5089. doi:10.1200/JCO.2019.37.15_suppl.TPS5089

CrossRef Full Text | Google Scholar

de Botton, S., Montesinos, P., Schuh, A. C., Papayannidis, C., Vyas, P., Wei, A. H., et al. (2023). Enasidenib vs conventional care in older patients with late-stage mutant- IDH2 relapsed/refractory AML: a randomized phase 3 trial. Blood 141, 156–167. doi:10.1182/blood.2021014901

PubMed Abstract | CrossRef Full Text | Google Scholar

Du, J., Johnson, L. M., Jacobsen, S. E., and Patel, D. J. (2015). DNA methylation pathways and their crosstalk with histone methylation. Nat. Rev. Mol. Cell Biol. 16, 519–532. doi:10.1038/nrm4043

PubMed Abstract | CrossRef Full Text | Google Scholar

Duan, R., Du, W., and Guo, W. (2020). EZH2: a novel target for cancer treatment. J. Hematol. Oncol. 13, 104. doi:10.1186/s13045-020-00937-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Farber, S., Diamond, L. K., Mercer, R. D., Sylvester, R. F., and Wolff, J. A. (1948). Temporary remissions in acute leukemia in children produced by Folic Acid antagonist, 4-Aminopteroyl-Glutamic Acid (Aminopterin). N. Engl. J. Med. 238, 787–793. doi:10.1056/NEJM194806032382301

CrossRef Full Text | Google Scholar

Figueroa, M. E., Abdel-Wahab, O., Lu, C., Ward, P. S., Patel, J., Shih, A., et al. (2010). Leukemic IDH1 and IDH2 mutations result in a hypermethylation phenotype, disrupt TET2 function, and impair hematopoietic differentiation. Cancer Cell 18, 553–567. doi:10.1016/j.ccr.2010.11.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Flatau, E., Gonzales, F. A., Michalowsky, L. A., and Jones, P. A. (1984). DNA methylation in 5-Aza-2′-Deoxycytidine-Resistant variants of C3H 10T1/2 C18 cells. Mol. Cell Biol. 4, 2098–2102. doi:10.1128/mcb.4.10.2098-2102.1984

PubMed Abstract | CrossRef Full Text | Google Scholar

Food and Drug Administration (2018). Center for drug evaluation and research application number 211192Orig1s000 multi-discipline review. Available online at: https://www.accessdata.fda.gov/drugsatfda_docs/nda/2018/211192Orig1s000MultidisciplineR.pdf.

Google Scholar

Giardina, S. F., Valdambrini, E., Warren, J. D., and Barany, F. (2021). PROTACs: promising approaches for epigenetic strategies to overcome drug resistance. Curr. Cancer Drug Targets 21, 306–325. doi:10.2174/1568009621666210203110857

PubMed Abstract | CrossRef Full Text | Google Scholar

Gil, J., Ramírez-Torres, A., and Encarnación-Guevara, S. (2017). Lysine acetylation and cancer: a proteomics perspective. J. Proteomics 150, 297–309. doi:10.1016/j.jprot.2016.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Gore, L., Rothenberg, M. L., O’Bryant, C. L., Schultz, M. K., Sandler, A. B., Coffin, D., et al. (2008). A phase I and pharmacokinetic Study of the oral histone deacetylase inhibitor, MS-275, in patients with refractory solid tumors and Lymphomas. Clin. Cancer Res. 14, 4517–4525. doi:10.1158/1078-0432.CCR-07-1461

PubMed Abstract | CrossRef Full Text | Google Scholar

Goto, K., Numata, M., Komura, J.-I., Ono, T., Bestor, T. H., and Kondo, H. (1994). Expression of DNA methyltransferase gene in mature and immature neurons as well as proliferating cells in mice. Differentiation 56, 39–44. doi:10.1046/j.1432-0436.1994.56120039.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Gounder, M., Schöffski, P., Jones, R. L., Agulnik, M., Cote, G. M., Villalobos, V. M., et al. (2020). Tazemetostat in advanced epithelioid sarcoma with loss of INI1/SMARCB1: an international, open-label, phase 2 basket study. Lancet Oncol. 21, 1423–1432. doi:10.1016/S1470-2045(20)30451-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Greer, E. L., and Shi, Y. (2012). Histone methylation: a dynamic mark in health, disease and inheritance. Nat. Rev. Genet. 13, 343–357. doi:10.1038/nrg3173

PubMed Abstract | CrossRef Full Text | Google Scholar

Gros, C., Fleury, L., Nahoum, V., Faux, C., Valente, S., Labella, D., et al. (2015). New insights on the mechanism of quinoline-based DNA methyltransferase inhibitors. J. Biol. Chem. 290, 6293–6302. doi:10.1074/jbc.M114.594671

PubMed Abstract | CrossRef Full Text | Google Scholar

Grunstein, M. (1997). Histone acetylation in chromatin structure and transcription. Nature 389, 349–352. doi:10.1038/38664

PubMed Abstract | CrossRef Full Text | Google Scholar

Gupta, V. G., Hirst, J., Petersen, S., Roby, K. F., Kusch, M., Zhou, H., et al. (2021). Entinostat, a selective HDAC1/2 inhibitor, potentiates the effects of olaparib in homologous recombination proficient ovarian cancer. Gynecol. Oncol. 162, 163–172. doi:10.1016/j.ygyno.2021.04.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Gupta, M. K., Gouda, G., Moazzam-Jazi, M., Vadde, R., Nagaraju, G. P., and El-Rayes, B. F. (2025). CRISPR/Cas9-directed epigenetic editing in colorectal cancer. Biochimica Biophysica Acta (BBA) - Rev. Cancer 1880, 189338. doi:10.1016/j.bbcan.2025.189338

PubMed Abstract | CrossRef Full Text | Google Scholar

Gutschner, T., Hämmerle, M., Eißmann, M., Hsu, J., Kim, Y., Hung, G., et al. (2013). The noncoding RNA MALAT1 is a critical regulator of the metastasis phenotype of lung cancer cells. Cancer Res. 73, 1180–1189. doi:10.1158/0008-5472.CAN-12-2850

PubMed Abstract | CrossRef Full Text | Google Scholar

Hajmirza, A., Emadali, A., Gauthier, A., Casasnovas, O., Gressin, R., and Callanan, M. (2018). BET family protein BRD4: an emerging actor in NFκB signaling in inflammation and cancer. Biomedicines 6, 16. doi:10.3390/biomedicines6010016

PubMed Abstract | CrossRef Full Text | Google Scholar

Harachi, M., Masui, K., Cavenee, W. K., Mischel, P. S., and Shibata, N. (2021). Protein acetylation at the interface of genetics, epigenetics and environment in cancer. Metabolites 11, 216. doi:10.3390/metabo11040216

PubMed Abstract | CrossRef Full Text | Google Scholar

Hermann, A., Goyal, R., and Jeltsch, A. (2004). The Dnmt1 DNA-(cytosine-C5)-methyltransferase methylates DNA processively with high preference for hemimethylated target sites. J. Biol. Chem. 279, 48350–48359. doi:10.1074/jbc.M403427200

PubMed Abstract | CrossRef Full Text | Google Scholar

Hicks, K. C., Chariou, P. L., Ozawa, Y., Minnar, C. M., Knudson, K. M., Meyer, T. J., et al. (2021). Tumour-targeted interleukin-12 and entinostat combination therapy improves cancer survival by reprogramming the tumour immune cell landscape. Nat. Commun. 12, 5151. doi:10.1038/s41467-021-25393-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Ho, T. C. S., Chan, A. H. Y., and Ganesan, A. (2020). Thirty years of HDAC inhibitors: 2020 Insight and hindsight. J. Med. Chem. 63, 12460–12484. doi:10.1021/acs.jmedchem.0c00830

PubMed Abstract | CrossRef Full Text | Google Scholar

Hong, D. S., Kang, Y.-K., Borad, M., Sachdev, J., Ejadi, S., Lim, H. Y., et al. (2020). Phase 1 study of MRX34, a liposomal miR-34a mimic, in patients with advanced solid tumours. Br. J. Cancer 122, 1630–1637. doi:10.1038/s41416-020-0802-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Hontecillas-Prieto, L., Flores-Campos, R., Silver, A., de Álava, E., Hajji, N., and García-Domínguez, D. J. (2020). Synergistic enhancement of cancer therapy using HDAC inhibitors: opportunity for clinical trials. Front. Genet. 11, 578011. doi:10.3389/fgene.2020.578011

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, Z., Zhou, J., Jiang, J., Yuan, J., Zhang, Y., Wei, X., et al. (2019). Genomic characterization of genes encoding histone acetylation modulator proteins identifies therapeutic targets for cancer treatment. Nat. Commun. 10, 733. doi:10.1038/s41467-019-08554-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, C., Liu, X., Zeng, Y., Liu, J., and Wu, F. (2021). DNA methyltransferase inhibitors combination therapy for the treatment of solid tumor: mechanism and clinical application. Clin. Epigenetics 13, 166. doi:10.1186/s13148-021-01154-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, Z., Wei, F., Su, Y., Wang, Y., Shen, Y., Fang, Y., et al. (2023). Histone deacetylase inhibitors promote breast cancer metastasis by elevating NEDD9 expression. Signal Transduct. Target Ther. 8, 11. doi:10.1038/s41392-022-01221-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, M., Huang, J., Zheng, Y., and Sun, Q. (2019). Histone acetyltransferase inhibitors: an overview in synthesis, structure-activity relationship and molecular mechanism. Eur. J. Med. Chem. 178, 259–286. doi:10.1016/j.ejmech.2019.05.078

PubMed Abstract | CrossRef Full Text | Google Scholar

Huarte, M. (2015). The emerging role of lncRNAs in cancer. Nat. Med. 21, 1253–1261. doi:10.1038/nm.3981

PubMed Abstract | CrossRef Full Text | Google Scholar

Hyun, K., Jeon, J., Park, K., and Kim, J. (2017). Writing, erasing and reading histone lysine methylations. Exp. Mol. Med. 49, e324. doi:10.1038/emm.2017.11

PubMed Abstract | CrossRef Full Text | Google Scholar

Jaenisch, R., and Bird, A. (2003). Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals. Nat. Genet. 33, 245–254. doi:10.1038/ng1089

PubMed Abstract | CrossRef Full Text | Google Scholar

Jansz, N. (2019). DNA methylation dynamics at transposable elements in mammals. Essays Biochem. 63, 677–689. doi:10.1042/EBC20190039

PubMed Abstract | CrossRef Full Text | Google Scholar

Jones, P. A., and Taylor, S. M. (1980). Cellular differentiation, cytidine analogs and DNA methylation. Cell 20, 85–93. doi:10.1016/0092-8674(80)90237-8

PubMed Abstract | CrossRef Full Text | Google Scholar

JR, M. (2018). Functions and epigenetic aspects of miR-15/16: possible future cancer therapeutics. Gene Rep. 12, 149–164. doi:10.1016/j.genrep.2018.06.012

CrossRef Full Text | Google Scholar

Julia, E., and Salles, G. (2021). Ezh2 inhibition by tazemetostat: mechanisms of action, safety and efficacy in Relapsed/refractory follicular lymphoma. Future Oncol. 17, 2127–2140. doi:10.2217/fon-2020-1244

PubMed Abstract | CrossRef Full Text | Google Scholar

Jüttermann, R., Li, E., and Jaenisch, R. (1994). Toxicity of 5-aza-2’-deoxycytidine to mammalian cells is mediated primarily by covalent trapping of DNA methyltransferase rather than DNA demethylation. Proc. Natl. Acad. Sci. 91, 11797–11801. doi:10.1073/pnas.91.25.11797

PubMed Abstract | CrossRef Full Text | Google Scholar

Karpf, A. R., Moore, B. C., Ririe, T. O., and Jones, D. A. (2001). Activation of the p53 DNA damage response pathway after inhibition of DNA methyltransferase by 5-aza-2’-deoxycytidine. Mol. Pharmacol. 59, 751–757. doi:10.1124/mol.59.4.751

PubMed Abstract | CrossRef Full Text | Google Scholar

Kenny, R. G., Ude, Z., Docherty, J. R., and Marmion, C. J. (2020). Vorinostat and Belinostat, hydroxamate-based anti-cancer agents, are nitric oxide donors. J. Inorg. Biochem. 206, 110981. doi:10.1016/j.jinorgbio.2019.110981

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, M., and Costello, J. (2017). DNA methylation: an epigenetic mark of cellular memory. Exp. Mol. Med. 49, e322. doi:10.1038/emm.2017.10

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, K. H., and Roberts, C. W. M. (2016). Targeting EZH2 in cancer. Nat. Med. 22, 128–134. doi:10.1038/nm.4036

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, Y. J., Maizel, A., and Chen, X. (2014). Traffic into silence: endomembranes and post-transcriptional RNA silencing. EMBO J. 33, 968–980. doi:10.1002/embj.201387262

PubMed Abstract | CrossRef Full Text | Google Scholar

Kleer, C. G., Cao, Q., Varambally, S., Shen, R., Ota, I., Tomlins, S. A., et al. (2003). EZH2 is a marker of aggressive breast cancer and promotes neoplastic transformation of breast epithelial cells. Proc. Natl. Acad. Sci. 100, 11606–11611. doi:10.1073/pnas.1933744100

PubMed Abstract | CrossRef Full Text | Google Scholar

Kopytko, P., Piotrowska, K., Janisiak, J., and Tarnowski, M. (2021). Garcinol—A natural histone acetyltransferase inhibitor and new anti-cancer epigenetic drug. Int. J. Mol. Sci. 22, 2828. doi:10.3390/ijms22062828

PubMed Abstract | CrossRef Full Text | Google Scholar

Kreibich, E., and Krebs, A. R. (2023). Relevance of DNA methylation at enhancers for the acquisition of cell identities. FEBS Lett. 597, 1805–1817. doi:10.1002/1873-3468.14686

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, S., Gonzalez, E. A., Rameshwar, P., and Etchegaray, J.-P. (2020). Non-Coding RNAs as mediators of epigenetic changes in malignancies. Cancers (Basel) 12, 3657. doi:10.3390/cancers12123657

PubMed Abstract | CrossRef Full Text | Google Scholar

Lan, F., and Shi, Y. (2009). Epigenetic regulation: methylation of histone and non-histone proteins. Sci. China C Life Sci. 52, 311–322. doi:10.1007/s11427-009-0054-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, T. T., and Karon, M. R. (1976). Inhibition of protein synthesis in 5-azacytidine-treated HeLa cells. Biochem. Pharmacol. 25, 1737–1742. doi:10.1016/0006-2952(76)90407-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, H.-Z., Kwitkowski, V. E., Del Valle, P. L., Ricci, M. S., Saber, H., Habtemariam, B. A., et al. (2015). FDA approval: Belinostat for the treatment of patients with relapsed or refractory peripheral T-cell lymphoma. Clin. Cancer Res. 21, 2666–2670. doi:10.1158/1078-0432.CCR-14-3119

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, L. H., Olin, E. J., Buskirk, H. H., and Reineke, L. M. (1970). Cytotoxicity and mode of action of 5-azacytidine on L1210 leukemia. Cancer Res. 30, 2760–2769.

PubMed Abstract | Google Scholar

Li, X., Zhang, Y., Chen, M., Mei, Q., Liu, Y., Feng, K., et al. (2017). Increased IFNγ+ T cells are responsible for the clinical responses of low-dose DNA-demethylating agent decitabine Antitumor therapy. Clin. Cancer Res. 23, 6031–6043. doi:10.1158/1078-0432.CCR-17-1201

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, G., Tian, Y., and Zhu, W.-G. (2020). The roles of histone deacetylases and their inhibitors in cancer therapy. Front. Cell Dev. Biol. 8, 8. doi:10.3389/fcell.2020.576946

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, H., Li, S., Lin, Y., Chen, S., Yang, L., Huang, X., et al. (2021). Artificial exosomes mediated spatiotemporal-resolved and targeted delivery of epigenetic inhibitors. J. Nanobiotechnology 19, 364. doi:10.1186/s12951-021-01107-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, T., Yang, Y., Qi, H., Cui, W., Zhang, L., Fu, X., et al. (2023). CRISPR/Cas9 therapeutics: progress and prospects. Signal Transduct. Target Ther. 8, 36. doi:10.1038/s41392-023-01309-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y., Yang, E. J., Shi, C., Mou, P. K., Zhang, B., Wu, C., et al. (2020). Histone acetyltransferase (HAT) P300/CBP inhibitors induce synthetic lethality in PTEN-Deficient colorectal cancer cells through destabilizing AKT. Int. J. Biol. Sci. 16, 1774–1784. doi:10.7150/ijbs.42197

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y., Wang, W., Zhang, D., Sun, Y., Li, F., Zheng, M., et al. (2022). Brain co-delivery of first-line chemotherapy drug and epigenetic bromodomain inhibitor for multidimensional enhanced synergistic glioblastoma therapy. Exploration 2, 2. doi:10.1002/EXP.20210274

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, M., Zhang, K., Li, Q., Pang, H., Pan, Z., Huang, X., et al. (2023). Recent advances on small-molecule bromodomain-containing histone acetyltransferase inhibitors. J. Med. Chem. 66, 1678–1699. doi:10.1021/acs.jmedchem.2c01638

PubMed Abstract | CrossRef Full Text | Google Scholar

Lopomo, A., and Coppedè, F. (2018). “Epigenetic signatures in the diagnosis and prognosis of cancer,” in Epigenetic mechanisms in cancer. Elsevier, 313–343. doi:10.1016/B978-0-12-809552-2.00012-7

CrossRef Full Text | Google Scholar

Lou, G., Chen, L., Xia, C., Wang, W., Qi, J., Li, A., et al. (2020). MiR-199a-modified exosomes from adipose tissue-derived mesenchymal stem cells improve hepatocellular carcinoma chemosensitivity through mTOR pathway. J. Exp. and Clin. Cancer Res. 39, 4. doi:10.1186/s13046-019-1512-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, C., Ward, P. S., Kapoor, G. S., Rohle, D., Turcan, S., Abdel-Wahab, O., et al. (2012). IDH mutation impairs histone demethylation and results in a block to cell differentiation. Nature 483, 474–478. doi:10.1038/nature10860

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, Y., Kwintkiewicz, J., Liu, Y., Tech, K., Frady, L. N., Su, Y.-T., et al. (2017). Chemosensitivity of IDH1-Mutated gliomas due to an impairment in PARP1-Mediated DNA repair. Cancer Res. 77, 1709–1718. doi:10.1158/0008-5472.CAN-16-2773

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, T., Wang, Y., Chen, D., Liu, J., and Jiao, W. (2018). Potential clinical application of lncRNAs in non-small cell lung cancer. Onco Targets Ther. 11, 8045–8052. doi:10.2147/OTT.S178431

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, R., and Yun, C.-H. (2018). Crystal structures of pan-IDH inhibitor AG-881 in complex with mutant human IDH1 and IDH2. Biochem. Biophys. Res. Commun. 503, 2912–2917. doi:10.1016/j.bbrc.2018.08.068

PubMed Abstract | CrossRef Full Text | Google Scholar

Manal, M., Chandrasekar, M. J. N., Gomathi Priya, J., and Nanjan, M. J. (2016). Inhibitors of histone deacetylase as antitumor agents: a critical review. Bioorg Chem. 67, 18–42. doi:10.1016/j.bioorg.2016.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Mann, B. S., Johnson, J. R., Cohen, M. H., Justice, R., and Pazdur, R. (2007). FDA approval summary: vorinostat for treatment of advanced primary cutaneous T-Cell lymphoma. Oncologist 12, 1247–1252. doi:10.1634/theoncologist.12-10-1247

PubMed Abstract | CrossRef Full Text | Google Scholar

Margueron, R., Li, G., Sarma, K., Blais, A., Zavadil, J., Woodcock, C. L., et al. (2008). Ezh1 and Ezh2 maintain repressive chromatin through different mechanisms. Mol. Cell 32, 503–518. doi:10.1016/j.molcel.2008.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Martianov, I., Ramadass, A., Serra, B. A., Chow, N., and Akoulitchev, A. (2007). Repression of the human dihydrofolate reductase gene by a non-coding interfering transcript. Nature 445, 666–670. doi:10.1038/nature05519

PubMed Abstract | CrossRef Full Text | Google Scholar

Mellinghoff, I. K., van den Bent, M. J., Blumenthal, D. T., Touat, M., Peters, K. B., Clarke, J., et al. (2023). Vorasidenib in IDH1- or IDH2-Mutant low-grade glioma. N. Engl. J. Med. 389, 589–601. doi:10.1056/NEJMoa2304194

PubMed Abstract | CrossRef Full Text | Google Scholar

Mentch, S. J., and Locasale, J. W. (2016). One-carbon metabolism and epigenetics: understanding the specificity. Ann. N. Y. Acad. Sci. 1363, 91–98. doi:10.1111/nyas.12956

PubMed Abstract | CrossRef Full Text | Google Scholar

miRagen Therapeutics Inc (2020). miRagen announces internal review of preliminary topline data for the phase 2 SOLAR clinical trial of cobomarsen in patients with cutaneous T-Cell lymphoma (CTCL).

Google Scholar

Miranda, F. C. L., Dos Santos Luciano, M. C., Silva Santos, R. Da, Furtado, G. P., Moraes, M. O., and Pessoa, C. (2019). Epidrugs: targeting epigenetic marks in cancer treatment. Epigenetics 14, 1164–1176. doi:10.1080/15592294.2019.1640546

PubMed Abstract | CrossRef Full Text | Google Scholar

Mochizuki, D., Misawa, Y., Kawasaki, H., Imai, A., Endo, S., Mima, M., et al. (2018). Aberrant epigenetic regulation in head and neck cancer due to distinct EZH2 overexpression and DNA hypermethylation. Int. J. Mol. Sci. 19, 3707. doi:10.3390/ijms19123707

PubMed Abstract | CrossRef Full Text | Google Scholar

Montesinos, P., Recher, C., Vives, S., Zarzycka, E., Wang, J., Bertani, G., et al. (2022). Ivosidenib and azacitidine in IDH1 -Mutated acute Myeloid leukemia. N. Engl. J. Med. 386, 1519–1531. doi:10.1056/NEJMoa2117344

PubMed Abstract | CrossRef Full Text | Google Scholar

Moore, L. D., Le, T., and Fan, G. (2013). DNA methylation and its basic function. Neuropsychopharmacology 38, 23–38. doi:10.1038/npp.2012.112

PubMed Abstract | CrossRef Full Text | Google Scholar

Mortusewicz, O., Schermelleh, L., Walter, J., Cardoso, M. C., and Leonhardt, H. (2005). Recruitment of DNA methyltransferase I to DNA repair sites. Proc. Natl. Acad. Sci. 102, 8905–8909. doi:10.1073/pnas.0501034102

PubMed Abstract | CrossRef Full Text | Google Scholar

Nagashima, H., Lee, C. K., Tateishi, K., Higuchi, F., Subramanian, M., Rafferty, S., et al. (2020). Poly(ADP-ribose) glycohydrolase inhibition sequesters NAD+ to potentiate the metabolic lethality of alkylating chemotherapy in IDH-Mutant tumor cells. Cancer Discov. 10, 1672–1689. doi:10.1158/2159-8290.CD-20-0226

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakajima, H., Kim, Y. B., Terano, H., Yoshida, M., and Horinouchi, S. (1998). FR901228, a potent antitumor antibiotic, is a novel histone deacetylase inhibitor. Exp. Cell Res. 241, 126–133. doi:10.1006/excr.1998.4027

PubMed Abstract | CrossRef Full Text | Google Scholar

Natarajan, U., Venkatesan, T., Radhakrishnan, V., Samuel, S., and Rathinavelu, A. (2018). Differential mechanisms of cell death induced by HDAC inhibitor SAHA and MDM2 inhibitor RG7388 in MCF-7 cells. Cells 8, 8. doi:10.3390/cells8010008

PubMed Abstract | CrossRef Full Text | Google Scholar

National Cancer Institute (2006a). Azacitidine. Available online at: https://www.cancer.gov/about-cancer/treatment/drugs/azacitidine.

Google Scholar

National Cancer Institute (2006b). Decitabine. Available online at: https://www.cancer.gov/about-cancer/treatment/drugs/decitabine.

Google Scholar

Nebbioso, A., Carafa, V., Benedetti, R., and Altucci, L. (2012). Trials with ‘epigenetic’ drugs: an update. Mol. Oncol. 6, 657–682. doi:10.1016/j.molonc.2012.09.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Nguyen, T. M., Alchalabi, S., Oluwatoyosi, A., Ropri, A. S., Herschkowitz, J. I., and Rosen, J. M. (2020). New twists on long noncoding RNAs: from mobile elements to motile cancer cells. RNA Biol. 17, 1535–1549. doi:10.1080/15476286.2020.1760535

PubMed Abstract | CrossRef Full Text | Google Scholar

Nishiyama, A., and Nakanishi, M. (2021). Navigating the DNA methylation landscape of cancer. Trends Genet. 37, 1012–1027. doi:10.1016/j.tig.2021.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Oka, M., Meacham, A. M., Hamazaki, T., Rodić, N., Chang, L.-J., and Terada, N. (2005). De novo DNA methyltransferases Dnmt3a and Dnmt3b primarily mediate the cytotoxic effect of 5-aza-2′-deoxycytidine. Oncogene 24, 3091–3099. doi:10.1038/sj.onc.1208540

PubMed Abstract | CrossRef Full Text | Google Scholar

Okano, M., Bell, D. W., Haber, D. A., and Li, E. (1999). DNA Methyltransferases Dnmt3a and Dnmt3b Are Essential for de novo Methylation and Mammalian Development. Cell 99, 247–257. doi:10.1016/S0092-8674(00)81656-6

PubMed Abstract | CrossRef Full Text | Google Scholar

O’Connor, O. A., Horwitz, S., Masszi, T., Van Hoof, A., Brown, P., Doorduijn, J., et al. (2015). Belinostat in patients with relapsed or refractory peripheral T-Cell lymphoma: results of the pivotal phase II BELIEF (CLN-19) Study. J. Clin. Oncol. 33, 2492–2499. doi:10.1200/JCO.2014.59.2782

PubMed Abstract | CrossRef Full Text | Google Scholar

Pan, C.-H., Chang, Y.-F., Lee, M.-S., Wen, B.-C., Ko, J.-C., Liang, S.-K., et al. (2016). Vorinostat enhances the cisplatin-mediated anticancer effects in small cell lung cancer cells. BMC Cancer 16, 857. doi:10.1186/s12885-016-2888-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Pekarsky, Y., Balatti, V., and Croce, C. M. (2018). BCL2 and miR-15/16: from gene discovery to treatment. Cell Death Differ. 25, 21–26. doi:10.1038/cdd.2017.159

PubMed Abstract | CrossRef Full Text | Google Scholar

Peller, S., and Rotter, V. (2003). TP53 in hematological cancer: low incidence of mutations with significant clinical relevance. Hum. Mutat. 21, 277–284. doi:10.1002/humu.10190

PubMed Abstract | CrossRef Full Text | Google Scholar

Peng, Y., and Croce, C. M. (2016). The role of MicroRNAs in human cancer. Signal Transduct. Target Ther. 1, 15004. doi:10.1038/sigtrans.2015.4

PubMed Abstract | CrossRef Full Text | Google Scholar

Peng, D., Kryczek, I., Nagarsheth, N., Zhao, L., Wei, S., Wang, W., et al. (2015). Epigenetic silencing of TH1-type chemokines shapes tumour immunity and immunotherapy. Nature 527, 249–253. doi:10.1038/nature15520

PubMed Abstract | CrossRef Full Text | Google Scholar

Peng, K., Liu, R., Yu, Y., Liang, L., Yu, S., Xu, X., et al. (2018). Identification and validation of cetuximab resistance associated long noncoding RNA biomarkers in metastatic colorectal cancer. Biomed. and Pharmacother. 97, 1138–1146. doi:10.1016/j.biopha.2017.11.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Pérez-Salvia, M., and Esteller, M. (2017). Bromodomain inhibitors and cancer therapy: from structures to applications. Epigenetics 12, 323–339. doi:10.1080/15592294.2016.1265710

PubMed Abstract | CrossRef Full Text | Google Scholar

Piekarz, R. L., Frye, R., Turner, M., Wright, J. J., Allen, S. L., Kirschbaum, M. H., et al. (2009). Phase II multi-institutional trial of the histone deacetylase inhibitor romidepsin as monotherapy for patients with cutaneous T-Cell lymphoma. J. Clin. Oncol. 27, 5410–5417. doi:10.1200/JCO.2008.21.6150

PubMed Abstract | CrossRef Full Text | Google Scholar

Pirozzi, C. J., and Yan, H. (2021). The implications of IDH mutations for cancer development and therapy. Nat. Rev. Clin. Oncol. 18, 645–661. doi:10.1038/s41571-021-00521-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Pískala, A., and Šorm, F. (1964). Nucleic acids components and their analogues. LI. Synthesis of 1-glycosyl derivatives of 5-azauracil and 5-azacytosine. Collect Czechoslov Chem. Commun. 29, 2060–2076. doi:10.1135/cccc19642060

CrossRef Full Text | Google Scholar

Plummer, R., Vidal, L., Griffin, M., Lesley, M., de Bono, J., Coulthard, S., et al. (2009). Phase I Study of MG98, an oligonucleotide antisense inhibitor of human DNA methyltransferase 1, given as a 7-Day infusion in patients with advanced solid tumors. Clin. Cancer Res. 15, 3177–3183. doi:10.1158/1078-0432.CCR-08-2859

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramakrishnan, S., Hu, Q., Krishnan, N., Wang, D., Smit, E., Granger, V., et al. (2017). Decitabine, a DNA-demethylating agent, promotes differentiation via NOTCH1 signaling and alters immune-related pathways in muscle-invasive bladder cancer. Cell Death Dis. 8, 3217. doi:10.1038/s41419-017-0024-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Reddy, K. B. (2015). MicroRNA (miRNA) in cancer. Cancer Cell Int. 15, 38. doi:10.1186/s12935-015-0185-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Reid, G., Pel, M. E., Kirschner, M. B., Cheng, Y. Y., Mugridge, N., Weiss, J., et al. (2013). Restoring expression of miR-16: a novel approach to therapy for malignant pleural mesothelioma. Ann. Oncol. 24, 3128–3135. doi:10.1093/annonc/mdt412

PubMed Abstract | CrossRef Full Text | Google Scholar

Roulois, D., Loo Yau, H., Singhania, R., Wang, Y., Danesh, A., Shen, S. Y., et al. (2015). DNA-Demethylating agents target colorectal cancer cells by inducing viral mimicry by endogenous transcripts. Cell 162, 961–973. doi:10.1016/j.cell.2015.07.056

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruiz, R., Raez, L. E., and Rolfo, C. (2015). Entinostat (SNDX-275) for the treatment of non-small cell lung cancer. Expert Opin. Investig. Drugs 24, 1101–1109. doi:10.1517/13543784.2015.1056779

PubMed Abstract | CrossRef Full Text | Google Scholar

Seto, A. G., Beatty, X., Lynch, J. M., Hermreck, M., Tetzlaff, M., Duvic, M., et al. (2018). Cobomarsen, an oligonucleotide inhibitor of miR-155, co-ordinately regulates multiple survival pathways to reduce cellular proliferation and survival in cutaneous T-cell lymphoma. Br. J. Haematol. 183, 428–444. doi:10.1111/bjh.15547

PubMed Abstract | CrossRef Full Text | Google Scholar

She, S., Zhao, Y., Kang, B., Chen, C., Chen, X., Zhang, X., et al. (2020). Combined inhibition of JAK1/2 and DNMT1 by newly identified small-molecule compounds synergistically suppresses the survival and proliferation of cervical cancer cells. Cell Death Dis. 11, 724. doi:10.1038/s41419-020-02934-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, Y., Fu, Y., Zhang, X., Zhao, G., Yao, Y., Guo, Y., et al. (2021). Romidepsin (FK228) regulates the expression of the immune checkpoint ligand PD-L1 and suppresses cellular immune functions in colon cancer. Cancer Immunol. Immunother. 70, 61–73. doi:10.1007/s00262-020-02653-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Shih, C.-H., Chang, Y.-J., Huang, W.-C., Jang, T.-H., Kung, H.-J., Wang, W.-C., et al. (2017). EZH2-mediated upregulation of ROS1 oncogene promotes oral cancer metastasis. Oncogene 36, 6542–6554. doi:10.1038/onc.2017.262

PubMed Abstract | CrossRef Full Text | Google Scholar

Singh, B. N., Zhang, G., Hwa, Y. L., Li, J., Dowdy, S. C., and Jiang, S.-W. (2010). Nonhistone protein acetylation as cancer therapy targets. Expert Rev. Anticancer Ther. 10, 935–954. doi:10.1586/era.10.62

PubMed Abstract | CrossRef Full Text | Google Scholar

Sivaraj, D., Green, M. M., and Gasparetto, C. (2017). Panobinostat for the management of multiple myeloma. Future Oncol. 13, 477–488. doi:10.2217/fon-2016-0329

PubMed Abstract | CrossRef Full Text | Google Scholar

Smaldone, M. C., and Davies, B. J. (2010). BC-819, a plasmid comprising the H19 gene regulatory sequences and diphtheria toxin A, for the potential targeted therapy of cancers. Curr. Opin. Mol. Ther. 12, 607–616.

PubMed Abstract | Google Scholar

Smith, H. J., McCaw, T. R., Londono, A. I., Katre, A. A., Meza-Perez, S., Yang, E. S., et al. (2018). The antitumor effects of entinostat in ovarian cancer require adaptive immunity. Cancer 124, 4657–4666. doi:10.1002/cncr.31761

PubMed Abstract | CrossRef Full Text | Google Scholar

Smits, G., Mungall, A. J., Griffiths-Jones, S., Smith, P., Beury, D., Matthews, L., et al. (2008). Conservation of the H19 noncoding RNA and H19-IGF2 imprinting mechanism in therians. Nat. Genet. 40, 971–976. doi:10.1038/ng.168

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, Y., Liu, Y., Li, Z.-M., Li, L., Su, H., Jin, Z., et al. (2022). SHR2554, an EZH2 inhibitor, in relapsed or refractory mature lymphoid neoplasms: a first-in-human, dose-escalation, dose-expansion, and clinical expansion phase 1 trial. Lancet Haematol. 9, e493–e503. doi:10.1016/S2352-3026(22)00134-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Šorm, F., Pískala, A., Čihák, A., and Veselý, J. (1964). 5-Azacytidine, a new, highly effective cancerostatic. Experientia 20, 202–203. doi:10.1007/BF02135399

PubMed Abstract | CrossRef Full Text | Google Scholar

Statello, L., Guo, C.-J., Chen, L.-L., and Huarte, M. (2021). Gene regulation by long non-coding RNAs and its biological functions. Nat. Rev. Mol. Cell Biol. 22, 96–118. doi:10.1038/s41580-020-00315-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Sulkowski, P. L., Corso, C. D., Robinson, N. D., Scanlon, S. E., Purshouse, K. R., Bai, H., et al. (2017). 2-Hydroxyglutarate produced by neomorphic IDH mutations suppresses homologous recombination and induces PARP inhibitor sensitivity. Sci. Transl. Med. 9, eaal2463. doi:10.1126/scitranslmed.aal2463

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, Y., Jiang, X., Chen, S., and Price, B. D. (2006). Inhibition of histone acetyltransferase activity by anacardic acid sensitizes tumor cells to ionizing radiation. FEBS Lett. 580, 4353–4356. doi:10.1016/j.febslet.2006.06.092

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, N., Zhang, J., Zhang, C., Zhao, B., and Jiao, A. (2018). DNMTs inhibitor SGI-1027 induces apoptosis in Huh7 human hepatocellular carcinoma cells. Oncol. Lett. 16, 5799–5806. doi:10.3892/ol.2018.9390

PubMed Abstract | CrossRef Full Text | Google Scholar

Sung, B., Pandey, M. K., Ahn, K. S., Yi, T., Chaturvedi, M. M., Liu, M., et al. (2008). Anacardic acid (6-nonadecyl salicylic acid), an inhibitor of histone acetyltransferase, suppresses expression of nuclear factor-κB–regulated gene products involved in cell survival, proliferation, invasion, and inflammation through inhibition of the inhibitory subunit of nuclear factor-κBα kinase, leading to potentiation of apoptosis. Blood 111, 4880–4891. doi:10.1182/blood-2007-10-117994

PubMed Abstract | CrossRef Full Text | Google Scholar

Suzuki, M., Yamada, T., Kihara-Negishi, F., Sakurai, T., Hara, E., Tenen, D. G., et al. (2006). Site-specific DNA methylation by a complex of PU.1 and Dnmt3a/b. Oncogene 25, 2477–2488. doi:10.1038/sj.onc.1209272

PubMed Abstract | CrossRef Full Text | Google Scholar

Taplin, M.-E., Hussain, A., Shah, S., Shore, N. D., Edenfield, W. J., Sartor, O. A., et al. (2019). Abstract CT094: phase Ib results of ProSTAR: CPI-1205, EZH2 inhibitor, combined with enzalutamide (E) or abiraterone/prednisone (A/P) in patients with metastatic castration-resistant prostate cancer (mCRPC). Cancer Res. 79, CT094. doi:10.1158/1538-7445.AM2019-CT094

CrossRef Full Text | Google Scholar

Tateishi, K., Wakimoto, H., Iafrate, A. J., Tanaka, S., Loebel, F., Lelic, N., et al. (2015). Extreme vulnerability of IDH1 mutant cancers to NAD+ depletion. Cancer Cell 28, 773–784. doi:10.1016/j.ccell.2015.11.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Tateishi, K., Higuchi, F., Miller, J. J., Koerner, M. V. A., Lelic, N., Shankar, G. M., et al. (2017). The alkylating chemotherapeutic Temozolomide induces Metabolic stress in IDH1 -Mutant cancers and potentiates NAD+ depletion–mediated cytotoxicity. Cancer Res. 77, 4102–4115. doi:10.1158/0008-5472.CAN-16-2263

PubMed Abstract | CrossRef Full Text | Google Scholar

Taylor, S. M., and Jones, P. A. (1982). Mechanism of action of eukaryotic DNA methyltransferase. J. Mol. Biol. 162, 679–692. doi:10.1016/0022-2836(82)90395-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Turcan, S., Makarov, V., Taranda, J., Wang, Y., Fabius, A. W. M., Wu, W., et al. (2018). Mutant-IDH1-dependent chromatin state reprogramming, reversibility, and persistence. Nat. Genet. 50, 62–72. doi:10.1038/s41588-017-0001-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Tzogani, K., van Hennik, P., Walsh, I., De Graeff, P., Folin, A., Sjöberg, J., et al. (2018). EMA review of panobinostat (Farydak) for the treatment of adult patients with relapsed and/or refractory multiple myeloma. Oncologist 23, 631–636. doi:10.1634/theoncologist.2017-0301

PubMed Abstract | CrossRef Full Text | Google Scholar

Uddin, M. G., and Fandy, T. E. (2021). DNA methylation inhibitors: retrospective and perspective view. Adv. Cancer Res. 152, 205–223. doi:10.1016/bs.acr.2021.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Urbano, A., Smith, J., Weeks, R. J., and Chatterjee, A. (2019). Gene-Specific targeting of DNA methylation in the Mammalian genome. Cancers (Basel) 11, 1515. doi:10.3390/cancers11101515

PubMed Abstract | CrossRef Full Text | Google Scholar

van Zandwijk, N., Pavlakis, N., Kao, S., Clarke, S., Lee, A., Brahmbhatt, H., et al. (2015). MesomiR 1: a phase I study of TargomiRs in patients with refractory malignant pleural mesothelioma (MPM) and lung cancer (NSCLC). Ann. Oncol. 26, ii16. doi:10.1093/annonc/mdv090.2

CrossRef Full Text | Google Scholar

van Zandwijk, N., Pavlakis, N., Kao, S. C., Linton, A., Boyer, M. J., Clarke, S., et al. (2017). Safety and activity of microRNA-loaded minicells in patients with recurrent malignant pleural mesothelioma: a first-in-man, phase 1, open-label, dose-escalation study. Lancet Oncol. 18, 1386–1396. doi:10.1016/S1470-2045(17)30621-6

PubMed Abstract | CrossRef Full Text | Google Scholar

VanderMolen, K. M., McCulloch, W., Pearce, C. J., and Oberlies, N. H. (2011). Romidepsin (Istodax, NSC 630176, FR901228, FK228, depsipeptide): a natural product recently approved for cutaneous T-cell lymphoma. J. Antibiot. (Tokyo) 64, 525–531. doi:10.1038/ja.2011.35

PubMed Abstract | CrossRef Full Text | Google Scholar

Varambally, S., Dhanasekaran, S. M., Zhou, M., Barrette, T. R., Kumar-Sinha, C., Sanda, M. G., et al. (2002). The polycomb group protein EZH2 is involved in progression of prostate cancer. Nature 419, 624–629. doi:10.1038/nature01075

PubMed Abstract | CrossRef Full Text | Google Scholar

Venugopal, S., and Watts, J. (2023). Olutasidenib: from bench to bedside. Blood Adv. 7, 4358–4365. doi:10.1182/bloodadvances.2023009854

PubMed Abstract | CrossRef Full Text | Google Scholar

Veselý, J. (1985). Mode of action and effects of 5-azacytidine and of its derivatives in eukaryotic cells. Pharmacol. Ther. 28, 227–235. doi:10.1016/0163-7258(85)90012-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Veselý, J., Čihák, A., and Šorm, F. (1969). Biochemical mechanisms of drug resistance. IX. Metabolic alterations in leukemic mouse cells following 5-aza-2’-deoxycytidine. Collect Czechoslovak Chem. Commun. 34, 901–909. doi:10.1135/cccc19690901

CrossRef Full Text | Google Scholar

Vojta, A., Dobrinić, P., Tadić, V., Bočkor, L., Korać, P., Julg, B., et al. (2016). Repurposing the CRISPR-Cas9 system for targeted DNA methylation. Nucleic Acids Res. 44, 5615–5628. doi:10.1093/nar/gkw159

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, K. C., and Chang, H. Y. (2011). Molecular mechanisms of long noncoding RNAs. Mol. Cell 43, 904–914. doi:10.1016/j.molcel.2011.08.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, A., Dai, H., Gong, Y., Zhang, C., Shu, J., Luo, Y., et al. (2019). ANLN-induced EZH2 upregulation promotes pancreatic cancer progression by mediating miR-218-5p/LASP1 signaling axis. J. Exp. and Clin. Cancer Res. 38, 347. doi:10.1186/s13046-019-1340-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, N., Ma, T., and Yu, B. (2023). Targeting epigenetic regulators to overcome drug resistance in cancers. Signal Transduct. Target Ther. 8, 69. doi:10.1038/s41392-023-01341-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Winkle, M., El-Daly, S. M., Fabbri, M., and Calin, G. A. (2021). Noncoding RNA therapeutics — challenges and potential solutions. Nat. Rev. Drug Discov. 20, 629–651. doi:10.1038/s41573-021-00219-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Winquist, E., Knox, J., Ayoub, J.-P., Wood, L., Wainman, N., Reid, G. K., et al. (2006). Phase II trial of DNA methyltransferase 1 inhibition with the antisense oligonucleotide MG98 in patients with metastatic renal carcinoma: a National Cancer Institute of Canada Clinical Trials Group investigational new drug study. Invest New Drugs 24, 159–167. doi:10.1007/s10637-006-5938-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Witt, O., Deubzer, H. E., Milde, T., and Oehme, I. (2009). HDAC family: what are the cancer relevant targets? Cancer Lett. 277, 8–21. doi:10.1016/j.canlet.2008.08.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, X., Liu, D., Tao, D., Xiang, W., Xiao, X., Wang, M., et al. (2016). BRD4 regulates EZH2 transcription through upregulation of C-MYC and represents a novel therapeutic target in bladder cancer. Mol. Cancer Ther. 15, 1029–1042. doi:10.1158/1535-7163.MCT-15-0750

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, M., Zhang, X., Han, X., Pandey, V., Lobie, P. E., and Zhu, T. (2021). The potential of long noncoding RNAs for precision medicine in human cancer. Cancer Lett. 501, 12–19. doi:10.1016/j.canlet.2020.11.040

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, Y., Zhang, X., Hu, X., Zhou, W., Zhang, P., Zhang, J., et al. (2018). The effects of lncRNA MALAT1 on proliferation, invasion and migration in colorectal cancer through regulating SOX9. Mol. Med. 24, 52. doi:10.1186/s10020-018-0050-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, W., Herman, J. G., and Guo, M. (2016). Epigenome-Based Personalized Medicine in human cancer. Epigenomics 8, 119–133. doi:10.2217/epi.15.84

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, J., and Corces, V. G. (2011). Chromatin insulators: a role in nuclear organization and gene expression. Adv. Cancer Res. 110, 43–76. doi:10.1016/B978-0-12-386469-7.00003-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Y., and Wang, Y. (2021). Role of epigenetic regulation in plasticity of tumor immune microenvironment. Front. Immunol. 12, 12. doi:10.3389/fimmu.2021.640369

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, X., Han, H., De Carvalho, D. D., Lay, F. D., Jones, P. A., and Liang, G. (2014). Gene body methylation can alter gene expression and is a therapeutic target in cancer. Cancer Cell 26, 577–590. doi:10.1016/j.ccr.2014.07.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Y., Zhang, M., and Wang, Y. (2022). The roles of histone modifications in tumorigenesis and associated inhibitors in cancer therapy. J. Natl. Cancer Cent. 2, 277–290. doi:10.1016/j.jncc.2022.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoo, C. B., Cheng, J. C., and Jones, P. A. (2004). Zebularine: a new drug for epigenetic therapy. Biochem. Soc. Trans. 32, 910–912. doi:10.1042/BST0320910

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeng, L., and Zhou, M.-M. (2002). Bromodomain: an acetyl-lysine binding domain. FEBS Lett. 513, 124–128. doi:10.1016/S0014-5793(01)03309-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, Z., and Shilatifard, A. (2019). Epigenetic modifications of histones in cancer. Genome Biol. 20, 245. doi:10.1186/s13059-019-1870-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, S., Allis, C. D., and Wang, G. G. (2021). The language of chromatin modification in human cancers. Nat. Rev. Cancer 21, 413–430. doi:10.1038/s41568-021-00357-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, A. X., Macarulla, T., Javle, M. M., Kelley, R. K., Lubner, S. J., Adeva, J., et al. (2021). Final overall survival efficacy results of ivosidenib for patients with advanced cholangiocarcinoma with IDH1 mutation. JAMA Oncol. 7, 1669–1677. doi:10.1001/jamaoncol.2021.3836

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhuang, J., Huo, Q., Yang, F., and Xie, N. (2020). Perspectives on the role of histone modification in breast cancer progression and the advanced technological tools to study epigenetic determinants of metastasis. Front. Genet. 11, 11. doi:10.3389/fgene.2020.603552

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhuo, W., Liu, Y., Li, S., Guo, D., Sun, Q., Jin, J., et al. (2019). Long noncoding RNA GMAN, Up-regulated in gastric cancer tissues, is associated with metastasis in patients and promotes translation of ephrin A1 by competitively binding GMAN-AS. Gastroenterology 156, 676–691.e11. doi:10.1053/j.gastro.2018.10.054

PubMed Abstract | CrossRef Full Text | Google Scholar

Zibitt, M. S., Hartford, C. C. R., and Lal, A. (2021). Interrogating lncRNA functions via CRISPR/cas systems. RNA Biol. 18, 2097–2106. doi:10.1080/15476286.2021.1899500

PubMed Abstract | CrossRef Full Text | Google Scholar

Zwergel, C., Schnekenburger, M., Sarno, F., Battistelli, C., Manara, M. C., Stazi, G., et al. (2019). Identification of a novel quinoline-based DNA demethylating compound highly potent in cancer cells. Clin. Epigenetics 11, 68. doi:10.1186/s13148-019-0663-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: cancer, epidrugs, epigenetic modification, oncology treatment, therapy

Citation: Scandolara TB, Siqueira IVM, Ribeiro Pinto LF and Soares-Lima SC (2026) The power and the promise of epigenetic drugs in oncology. Front. Genet. 16:1622115. doi: 10.3389/fgene.2025.1622115

Received: 02 May 2025; Accepted: 02 December 2025;
Published: 02 January 2026.

Edited by:

Jiao Feng, Hangzhou Normal University, China

Reviewed by:

Prathibha Ranganathan, Centre for Human Genetics (CHG), India
Salvador F. Aliño, University of Valencia, Spain

Copyright © 2026 Scandolara, Siqueira, Ribeiro Pinto and Soares-Lima. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sheila Coelho Soares-Lima, c2hlaWxhY29lbGhvQGdtYWlsLmNvbQ==

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.