Abstract
Disruption of the epigenetic program of gene expression is a hallmark of cancer that initiates and propagates tumorigenesis. Altered DNA methylation, histone modifications and ncRNAs expression are a feature of cancer cells. The dynamic epigenetic changes during oncogenic transformation are related to tumor heterogeneity, unlimited self-renewal and multi-lineage differentiation. This stem cell-like state or the aberrant reprogramming of cancer stem cells is the major challenge in treatment and drug resistance. Given the reversible nature of epigenetic modifications, the ability to restore the cancer epigenome through the inhibition of the epigenetic modifiers is a promising therapy for cancer treatment, either as a monotherapy or in combination with other anticancer therapies, including immunotherapies. Herein, we highlighted the main epigenetic alterations, their potential as a biomarker for early diagnosis and the epigenetic therapies approved for cancer treatment.
Introduction
Epigenetic reprogramming and cancer development
Since first described by Conrad Waddington in 1942 (Waddington, 1959), the epigenetic landscape during the differentiation process, where a totipotent undifferentiated cell acquires specialized characteristics and functions, is still a challenge for modern biology (Hunter, 2017). During early development, the whole genome is reprogrammed through epigenetic modifications such as DNA methylation, histone modification and non-coding RNA interaction, that alter chromatin structure and DNA accessibility by establishing a differential gene expression program in a cell-specific manner, without changes on DNA sequence (Skinner, 2011; Olynik and Rastegar, 2012). Epigenetic reprogramming is essential for normal development, as well as the maintenance of cell type-specific epigenetic patterns during cell division. However, given the dynamic and reversible characteristics of the epigenetic modifications, epigenetic reprogramming is strongly affected by environmental factors which play an essential role in the establishment and maintenance of epigenetic markers (Waddington, 1959).
Aberrant epigenetic reprogramming is associated with the etiology of developmental disorders as the imprinting defects (i.e., Beckwith–Wiedemann and Silver–Russell syndromes) (Monk et al., 2019), and complex and multifactorial diseases including metabolic syndrome (Ling and Rönn, 2019), cardiovascular diseases (Handy et al., 2011) and neurological disorders (Chheda and Gutmann, 2017). Due to its ability to regulate cell growth and differentiation pathways, non-mutational epigenetic reprogramming has been added as a hallmark of cancer (Hanahan, 2022) and maybe a driver mutational event in sporadic cancers that promotes genomic instability, tumor initiation and malignant transformation (Feinberg et al., 2006; Feinberg et al., 2016; Hanahan, 2022). These (epi)genetic changes confer a specific phenotype to cancer cells as the uncontrolled growth, resistance to death and increased invasiveness to adjacent tissues and/or spread to other organs (Ilango et al., 2020).
Lifetime disruption in the epigenetic machinery leads to loss of global epigenetic marks, activation of growth-related genes (oncogenes) and silence of cell cycle control genes (tumor suppressor) and DNA repair genes, thereby initiating and propagating tumorigenesis (Figure 1) (Gibney and Nolan, 2010; Feinberg et al., 2016; Hanahan, 2022). These epigenetic features are similar to those observed in early development, where somatic cells are reprogrammed towards a less differentiated state followed by oncogenic reprogramming (Suvà et al., 2013; Feinberg, et al., 2016). The stem-like state or stem progenitor for cancer development is the major challenge in treatment, as it promotes unlimited self-renewal, multi-lineage differentiation and drug resistance (Suvà et al., 2013) Furthermore, alterations in the tumor microenvironment, tumor heterogeneity and regulation of stromal cells are associated with functional abilities acquired through epigenetic reprogramming (Ilango et al., 2020).
FIGURE 1

Schematic representation of the aberrant epigenetic reprogramming on cancer cells. Normal cells are aberrantly reprogramed through loss of global methylation, altered ncRNA expression, disrupted histone modifications and hypermethylation of target genes, which can inactivate tumor suppressor and DNA repair genes and activate oncogenes, resulting in the global chromatin instability observed in cancer cells. 5mC, 5-methylcytosine; 5hmC, 5-hydroxymethylcytosine.
Because of the reversible nature of epigenetic changes, the possibility of reprogramming cancer epigenome has become a promising target for both treatment and reversibility of drug resistance (Miranda Furtado et al., 2019). The discovery of chemical compounds that act on the enzymes responsible for the maintenance and establishment of epigenetic mechanisms (epigenetic drugs), changing the epigenetic landscape of a tumor cell, has revolutionized cancer therapy, especially for hematological tumors (Montalvo-Casimiro et al., 2020; Morel et al., 2020). Moreover, the combination of epigenetic drugs with other anticancer therapies, such as chemo, hormonal or immunotherapy has broadened the perspective on the use of these compounds and their effectiveness on treatment. In this review, we present the epigenetic alterations in cancer reprogramming, the main epigenetic drugs and combining therapies for cancer treatment.
Reprogramming DNA methylation in cancer
DNA methylation is an abundant epigenetic marker in the mammalian genome, that is stably maintained during DNA replication. Genome-wide loss of DNA methylation is a recognized epigenetic marker in oncogenic transformation, which is followed by an aberrant reprogramming of the cancer epigenome (Vandiver et al., 2015). The most common DNA modification is the chemical addition of a methyl group to the 5- carbon of the cytosine followed by a guanine (5′CG3′ or CpG, cytosine-phosphate-guanine), giving rise to 5-methylcytosine (5mC) (Geiman and Muegge, 2010). 5mC is a repressive epigenetic mark that aids in maintaining genomic stability as most CpG sequences in the genome are methylated (hypermethylated), except for CpG islands that are hypomethylated and usually encompass promoters and enhancers (Nishiyama and Nakanishi, 2021). This process is conserved from archaea to eukaryotes, from fertilization to every stage of development, and is carried out by the family of DNA methyltransferases (DNMTs). DNMT1, DNMT3A and DNMT3B are canonical methyltransferase enzymes, while DNMT2 and DNMT3L are non-canonical, without DNMT activity. DNMT1 is involved in the maintenance of DNA methylation, keeping the epigenetic memory in differentiated cells and restoring parental methylation patterns on the nascent DNA strand while DNMT3A and DNMT3B are related to de novo DNA methylation (Moore et al., 2013; Lyko, 2018). The role of DNMT2 and DNTM3L are not well understood, but they seem to act on RNA methylation activity and de novo DNA methylation, respectively (Schaefer et al., 2010; Veland et al., 2019). DNA methylation during semi-conservative DNA replication occurs with the support of the ubiquitin-like plant homeodomain and RING finger domain 1 (UHRF1) that recognizes CpGs in the hemimethylated DNA, and recruits DNMT1 to restore parental methylation patterns on the nascent strand (Hashimoto et al., 2008).
Global DNA hypermethylation is essential for the maintenance of genome stability, silencing of repetitive elements (transposon and retrotransposons) (Hur et al., 2014) and inactivation of nucleotide-repeat expansion (Poeta et al., 2020). Despite the high stability of DNA methylation, 5mC can be demethylated passively during DNA replication or actively through the oxidation of 5mC to 5-hydroxymethylcytosine (5hmC), with other intermediates (5-formylcytosine, 5fC and 5-carboxylcytosine, 5caC), by the ten-eleven translocated (TET) family of enzymes. The 5hmC is enriched at transcriptionally active regions, such as gene bodies and the borders of promoters and enhancers. The passive process is linked to the absence of DNMT1/UHRF1 which leads to the progressive dilution of cytosine methylation during successive rounds of DNA replication (An et al., 2017). Aberrant active demethylation and increased 5hmC marker at TOP2A and EZH2 genes were associated with poor prognosis in an aggressive subtype of prostate cancer and are related to the activation of oncogenic pathways, such as MYC and E2F, and TGFβ signaling pathways in metastatic castration-resistant prostate cancer (Palanca-Ballester et al., 2021). On the other hand, loss of 5hmC marker seems to be a common alteration in penile (Rodriguez-Casanova et al., 2021) and oral squamous cell carcinoma (Wang et al., 2017) and myelodysplastic syndrome (MDS) (Cavalcante et al., 2022).
Regions of low CpG density are hypomethylated in cancer, leading to genomic instability thereby facilitating chromosomal rearrangements and DNA damage (Das and Singal, 2004; Baylin and Jones, 2016; Nishiyama and Nakanishi, 2021). However, once carcinogenesis is established, an increased 5mC marker is associated with tumor progression and reduced survival rate (Rodriguez-Casanova et al., 2021). Additionally, site-specific hypomethylation or hypermethylation promotes the activation of proto-oncogenes and the silencing of tumor suppressor genes, respectively (Baylin and Jones, 2011). Among these, genes related to cell cycle progression (e.g., RB1, CDKN2A and CDKN2B), invasion and metastasis (e.g., CDH1 and CDH13) and apoptotic signaling (e.g., DAPK1) are hypermethylated in several cancers (Zafon et al., 2019; Nishiyama and Nakanishi, 2021). The transcription factor MYC, which is highly expressed during early development and silenced in somatic cells, is overexpressed in almost 70% of cancers (Slamon and Cline, 1984; Madden et al., 2021). Activation of this proto-oncogene by loss of DNA methylation is a common feature of tumor progression and aggressiveness (Souza et al., 2013). Increased chromatin accessibility at MYC locus is observed across different cancer types (Corces et al., 2018).
Biallelic expression of imprinted genes or loss of imprinting (LOI) is frequently observed in human cancers (Jelinic and Shaw, 2007), and is an early event for some tumors, such as the childhood Wilms’ tumor (WT) (Graf et al., 2021). The imprinting control regions (ICR) are differentially methylated (DMR) in a parent-of-origin manner, resulting in a monoallelic expression of the clustered genes. LOI at the H19/IGF2 locus, for example, is associated with WT in overgrowth syndromes (Graf et al., 2021), and other cancers such as bladder (Byun et al., 2007) and colorectal (Hidaka et al., 2018). LOI of KvDMR1, INPP5Fv2-DMR and RB1-DMR is also implicated in the pathogenesis of cancer (Rumbajan et al., 2013). A comprehensive analysis of The Cancer Genome Atlas showed that the imprinted genes CDKN1C and PEG3 are downregulated in primary tumors, while the MEST, PHLDA2 and GNAS were frequently upregulated. As the ICRs are enriched by long ncRNAs (lncRNAs), LOI promotes the overexpression of these regulatory elements during carcinogenesis (Kim et al., 2015).
Loss of function of DNMTs and TETs enzymes during cell differentiation and growth is also related to oncogenic transformation. Mutations in DNMT3A, TET1/2 and IDH1/2 are recurrent in leukemia and lymphoma (Guillamot et al., 2016). TET2 mutations are associated with aberrant DNA methylation in a wide spectrum of myeloid malignancies, including myelodysplastic syndrome (MDS), myeloproliferative neoplasms (MPN), myelomonocytic leukemia (CMML), and acute myeloid leukemia (AML). Somatic mutations in TET family are linked to changes in the regulation of stem cell differentiation and transformation (Cimmino et al., 2011; An et al., 2017). DNMT3A mutations lead to loss of methylation and promote AML transformation, while abnormal CpG island hypermethylation dependent on DNMT3A is observed during AML progression (Spencer et al., 2017). TET1 and TET2 reduced expression levels have been frequently observed in hepatocellular carcinoma tissues (Wang P. et al., 2019). Mutational events at chromatin remodeling factors and Wnt signaling pathway promote aberrant DNA methylation pattern in human tumors (Saghafinia et al., 2018). Somatic mutations and microsatellite instability also affect cancer epigenome (Velho et al., 2014).
Besides the most common DNA methylation that occurs at CpG sites, non-CpG methylation at CpA and CpT are emerging epigenetic markers in eukaryotes. These modifications, especially the CpA methylation, which gave rise to N6-methyladenine (6mA), were first recognized in embryonic stem cells and seem to be mediated by the DNTM3A (Ramsahoye et al., 2000). Other enzymes may affect 6mA levels, such as the methyltransferase N6AMT1 and the demethylase ALKBH1 (Kweon et al., 2019; Shen et al., 2022). Although the low abundance of 6mA is observed in the mammalian genome under normal conditions, several studies indicated dynamic changes in 6mA levels during development and cancer. A lower abundance of the 6mA marker was observed in glioma cells (Kweon et al., 2019), whereas an increased 6mA was shown in hepatocellular carcinoma (Lin et al., 2022). A decrease of genomic DNA 6mA, accompanied by decreased methyltransferase N6AMT1 and increased demethylase ALKBH1 levels promotes tumorigenesis and is associated with poor prognosis in cancer patients (Xiao et al., 2018).
DNA methylation can also be detected in liquid biopsies, a minimally invasive procedure that has emerged as a promising element in cancer early detection. Liquid biopsies allow the monitoring of the molecular landscape of circulating tumor elements in body fluids in the search for new biomarkers of cancer diagnosis, prognosis and therapy (Martins et al., 2021; Michela, 2021). Cell-free circulating tumor DNA (ctDNA) exhibits both genetic and epigenetic cancer-related mutations making it possible to detect malignant lesions, monitor tumor evolution, metastasis and recurrence and predict treatment response (Luo et al., 2021; Li et al., 2022). Since aberrant DNA methylation is an early event in carcinogenesis, ctDNA methylation analysis has been used for cancer screening in clinical oncology. Considering that each cell group has a unique epigenetic signature, ctDNA methylation allows to tracing the origin of tissue in cancer patients (Luo et al., 2021).
Circulating SEPT9 methylation assay has been used as a CRC biomarker with increased specificity and sensitivity (DeVos et al., 2009; Church et al., 2014) and was the first blood-based screening approved by the FDA (Luo et al., 2021). SHOX2 DNA methylation assay was used to distinguish between malignant and benign lung disease from bronchial aspirates (Schmidt et al., 2010). Afterwards, a plasma-based assay was used to detect small cell lung cancer and squamous cell carcinoma with high sensitivity (Kneip et al., 2011). Cell-free DNA (cfDNA) methylation of 15 DMRs allowed the detection and stratification between high and low-risk ovarian cancer (Liang et al., 2022). Similarly, other tumors, as breast, prostate and colorectal used cfDNA methylation to differentiate malignant and normal lesions, and prognosis stratification (Zhang et al., 2021c; Wu Q. et al., 2021; Chen et al., 2022a; Rodriguez-Casanova et al., 2022). Besides target ctDNA methylation, cell-free genome-wide 5hmC has been recently used for cancer diagnosis and prognosis stratification (Song et al., 2017; Xu et al., 2021; Shao et al., 2022). Despite the advances and promising use of cfDNA methylation in clinical oncology, there are some technical limitations that need to be addressed for use in clinical practice as a standard diagnostic tool (Heidrich et al., 2021; Lone et al., 2022).
DNA methylation has been widely investigated in oncology due to its control of time- and tissue-specific gene expression, inactivation of repetitive DNA and the maintenance of genomic stability during cancer initiation and progression. Further, the epigenetic reprogramming of undifferentiated cells through waves of DNA methylation and demethylation, can aberrantly reprogram the stem cell epigenome and promote cancer differentiation, recurrence, and resistance to treatment. Also, 5mC participates in the acquisition of other epigenetic markers as histone modification and ncRNA expression (Das and Singal, 2004; Geiman and Muegge, 2010). Herewith, DNA methylation is an important epigenetic marker for cancer diagnosis, with direct implications for survival rate and an emergent target for drug development.
Aberrant histone modification
Another important epigenetic mark is the chemical modification of histone proteins. Histones assist DNA packaging into a highly organized chromatin structure. DNA is wrapped around a histone octamer (H2A, H2B, H3 and H4), linked by the histone H1 to form the nucleosome, a core structure of the chromatin (Lawrence et al., 2016). The amino-terminal tails of histone proteins are frequently subject to multivalent post-translational modifications (PTM), such as acetylation, phosphorylation, methylation and ubiquitination, altering the degree of local chromatin condensation, and consequently interfering in gene expression and DNA accessibility (Demetriadou et al., 2020). Non-conventional modifications can also occur in histones, such as citrullination/deamination, sumoylation, formylation and propionylation, among others (Tweedie-Cullen et al., 2012).
The most studied histone modifications are methylation and acetylation, however, unlike DNA methylation, histone modifications can either be an active or repressive epigenetic marker, depending on the modification and the modified amino acid group. Many enzymes catalyze methylation at histone protein, such as the histone methyltransferases (HMTs) and demethylase (HDM), lysine methyltransferases (KMTs) and demethylases (KDMs, also known as LSD), protein arginine methyltransferases (PRMTs), among others (Husmann and Gozani, 2019; Wu X. et al., 2021). This modification is frequently observed in lysine (K) and arginine (R) residues and is related to different transcriptional states (active or inactive) (Greer and Shi, 2012). Histone acetylation is a common modification in the lysine amino acid that is catalyzed by histone acetyltransferases (HATs) and histone deacetylases (HDACs). Acetylation, on the other hand, is usually an epigenetic marker of transcriptional activation (Bannister and Kouzarides, 2011).
The combination of these modifications is responsible for maintaining chromatin structure, which is dynamic and plays key role in development and cell differentiation. Aberrant reprogramming of histone modifications is often observed in the pathogenesis of cancer, changing chromatin accessibility, and altering the expression of target genes, subsequently affecting malignant progression (Zhao and Shilatifard, 2019). The imbalance of genome-wide histone methylation changes cell growth and may favor tumorigeneses. The enrichment of the tri-methylation at H3 lysine 9 (H3K9me3) and lysine 27 (H3K27me3), a repressive epigenetic marker found many promoters region, drives oncogenic transformation and chemoresistance (Torrano et al., 2019). Overexpression of EZH2 (Enhancer of zeste homolog 2), a member of the polycomb proteins which is responsible for the tri-methylation of H3k27 and inactive chromatin state, is a marker of cancer initiation, progression, metastasis and targeted therapy (Chase and Cross, 2011; Duan et al., 2020). Although histone arginine methylation is a less typical and complex marker, increased expression of PRMT and enrichment of methylation at H3 arginine residues (H3R8, H3R3 and H3R2) is observed in digestive cancer cells (Chen et al., 2020).
Monoacetylation at H4K16 (H4K16ac) is a conserved marker that increases chromatin accessibility and gene activation. Reduced levels of the active H4K16ac and H4K20me3 histone modifications are a hallmark of cancer, perhaps by promoting the loss of DNA methylation at repetitive sequences (Fraga et al., 2005). The H3K27ac is often observed in active promoter and enhancer regions and is dysregulated with prognostic value for thyroid tumors (Zhang et al., 2021a). Increased active H3K27ac and reduced repressive H3K27me3 markers seem to be a driver mutation in high-grade gliomas, which is related to the activation of endogenous retroviruses (EVRs) and promotes therapeutic sensibility to demethylating agents (Krug et al., 2019). Histone H3 and H4 acetylation (H3K9, H3K18 and H4K12) and di-methylation (H4R3 and H3K4), an epigenetic marker of transcriptional activation, predicts molecular heterogeneity in prostate cancer with prognostic value (Seligson et al., 2005).
Post-translational modifications of histones, histone variants and histone-associated DNA modifications can be detected in liquid biopsies using circulating nucleosome (Bauden et al., 2015). Intact nucleosomes are released form cells after death and has been used as a biomarker for early diagnosis and monitoring of various types of tumors (Deligezer et al., 2010; Bauden et al., 2015; Van den Ackerveken et al., 2021). H4K20me3 and H3K27me3 histone modification at circulating nucleosomes is reduced in the plasma of patients with colorectal cancer (Gezer et al., 2015). H3K9me3 marker in the blood plasma was found decreased of patients with colorectal cancer and increased in patients with multiple myeloma (Deligezer et al., 2010). Elevated number of circulating nucleossome have been reported in many tumors (Bauden et al., 2015), and is associated with tumor recurrence and metastasis in breast cancer (Mego et al., 2020b; Mego et al., 2020a). Global analysis of histone PTMs showed 13 modifications specifically related o colorectal cancer and an increasing in methylation of histone H3K9 and H3K27, acetylation of histone H3 and citrullination of histone H2A1R3 (Van den Ackerveken et al., 2021).
The dynamic of histone modifications and modifiers changes chromatin landscape and genomic function and control cancer cell phenotype and promotes disease progression. Although the increased identification of histone modifications and the complex regulatory machinery made possible by the advancement of high-throughput technologies, much still needs to be revealed about the function of each modification and the implications for cancer development. Even though these modifications are predictive of clinical outcomes, targeting histone modifiers is a promising epigenetic therapy in anticancer drug discovery.
Non-coding RNAs as cancer biomarkers
In the human genome, the protein-coding genes represent less than 2%, whereas a large fraction is constituted by regions that are transcribed into non-coding RNAs (ncRNAs), which retain fundamental biological properties within cells, controlling gene expression in a cell-specific manner. Besides its function in the regulation of transcription, ncRNAs also influence the translation as components in the protein synthesis machinery and regulate other ncRNAs function in a complex network (Ratti et al., 2020). Therefore, roles of ncRNAs in physiology and pathology are recognized, including developmental, gametogenesis, stress, immune response, and tumorigenesis (Aprile et al., 2020; Ratti et al., 2020; Taniue and Akimitsu, 2021).
Among ncRNAs, the small ncRNAs (<200 nucleotides, nt) and long ncRNAs (>200 nt) have important roles in cancer development, acting both as oncogenic and tumor suppressor molecules (Ratti et al., 2020). MicroRNAs (miRNA) and small interfering RNA (siRNAs), are small ncRNA duplex, approximately 18–31 nucleotides long, that regulates gene expression at the post-transcriptional level through target block of translation and/or degradation (Zhang et al., 2021b; Torsin et al., 2021). Both miRNA and siRNA have been extensively investigated as molecular markers of cancer and therapeutic agents. The main difference is that the siRNA is highly specific to the target, while the miRNA can target several molecules simultaneously, regulating multiple pathways to maintain physiological homeostasis (Lam et al., 2015; Cuciniello et al., 2021). Aberrant miRNA expression has been reported in several cancer types, inducing cell proliferation, invasion, and resistance to death by activating oncogenes and silencing tumor suppressor genes (Peng and Croce, 2016).
Long non-coding RNAs (lncRNAs, >200 nt) are the most abundant class of ncRNAs in the human genome (Slack and Chinnaiyan, 2019). LncRNAs arise from intergenic regions or are clustered with protein-coding genes (intronic or in gene-dense regions) and like protein-coding genes, their promoter regions are globally enriched with histone modifications, such as H3K27ac, H3K4me3 and H3K9ac (Quinn and Chang, 2016; Taniue and Akimitsu, 2021). The abundant class of lncRNAs modulate gene expression in a complex intracellular network of crossed interactions (competing endogenous RNA networks, or ceRNET) through chromatin remodeling, either as cis or trans elements, targeting specific sequences at the transcriptional and translational level and participating in post-translational modifications (Engreitz et al., 2016; Yao et al., 2019). Therefore, the lncRNAs, and their protein-and RNA-based regulation, added complexity to the cytoplasmatic post-transcriptional and translation control, orchestrated before by miRNAs and proteins (Aprile et al., 2020).
Many lncRNAs are highly expressed during development and participate in cell growth and differentiation pathways (Cabili et al., 2011). Thus, their modulation in different intracellular pathways, such as cell survival and proliferation, glucose metabolism, apoptosis, metastasis formation, and drug resistance, results in the tumor phenotype (Luo et al., 2018; Hu et al., 2020; Wan et al., 2020; Liang et al., 2022). Disruption of lnRNA expression or stability affects the expression of the neighboring genes (Horlbeck et al., 2020) and promotes chromosomal rearrangements (Yin et al., 2021) modulating several hallmarks of cancer and fostering progression. Moreover, several lncRNAs are transcriptionally regulated by oncoproteins or tumor suppressors, which are directly related to tumorigenesis (Guttman et al., 2009; Taniue et al., 2016).
Other classes of ncRNAs, such as small nucleolar RNA (snoRNAs), involved in RNA modifications and ribosome biogenesis; small nuclear RNAs (snRNAs), involved in pre-mRNA processing; piwi-interacting RNAs (pi-RNAs), which is mainly functional in the germline, inhibiting the transcription and movement of retrotransposons, repetitive sequences, and other mobile elements, have also been implied in cancer development and progression (Zhang et al., 2021b; Xiao et al., 2022). Moreover, circular RNAs (circRNAs), single-stranded covalently closed RNA loops, which act as transcriptional regulators, miRNA sponges and splicing and protein translation regulators, are also abundant in cell cytoplasm, and widely distributed in body fluids and cell-free samples, playing critical roles in tumorigenesis (Zhao et al., 2021).
Besides the main function of ncRNAs in cellular compartments, ncRNAs can also be released from the cell and transported in body fluids through exosomes or RNA binding proteins (RBPs), targeting molecules outside the production site, being a promising minimally invasive cancer biomarker (Qi et al., 2016). Circulating RNAs (as ncRNAs) are easy to be sampled in liquid biopsies and can be used as diagnostic biomarkers in the early detection of cancer, before radiologic and imaging events, as well as for prognosis, monitoring disease evolution and adjustments of treatment (Pardini et al., 2019). Due to their specificity and stability, circulating ncRNAs can provide accuracy and sensitivity for the screening of different human cancers (Slack and Chinnaiyan, 2019). Indeed, there are a large variety of ncRNAs that might be used as cancer biomarkers in liquid biopsies. Among them, the most studied are miRNAs, but more recently also pi-RNAs, circRNAs, and other sncRNAs. The lncRNAs also represent a versatile and promising group of molecules which, besides their use as biomarkers, have also a possible therapeutic role (Pardini et al., 2019).
One of the first described miRNA, and probably the most recurrently detected as a cancer biomarker, is the oncomiR miR-21. This miRNA is implicated in various signaling pathways, and its upregulation results in the inactivation of several tumor suppressors. Altered miR-21 expression is often observed in many cancer types, including digestive, respiratory, hematological, gynecological and brain malignancies (Kumarswamy et al., 2011; Pardini et al., 2019). MiR-21 was also upregulated in serum samples from patients with renal cell carcinoma (RCC), as well as miR-210 and miR-144-3p, and the upregulation of miR-21 was positively correlated to tumor stage (Zhao et al., 2013; Lou et al., 2017; Tusong et al., 2017). On the contrary, miR-508-3p and miR-509-5p were decreased in plasma samples of RCC patients (Zhai et al., 2012). Furthermore, miR-155 has been also reported as dysregulated in serum/plasma samples in gastroenterology malignancies, lung, breast, ovary, and hematologic malignancies (Larrea et al., 2016; Chen et al., 2017; Giannopoulou et al., 2019). Likewise, miR-141 and miR-375 were upregulated in serum and plasma exosomes of patients with metastatic prostate cancer (Hessvik et al., 2013; Samsonov et al., 2016). Although promising, miRNAs are not specific to one type of cancer, therefore understanding the implication of miRNAs in specific pathways and finding the most sensitive and specific ones is still challenging (Pardini et al., 2019).
LncRNAs, particularly circular lncRNAs, are stable circulating ncRNAs used as cancer biomarkers. In this context, overexpression of the oncogenic lncRNA MALAT1 in non-small cell lung cancer (NSCLC) tissue is related to reduced overall survival and could be a potential prognostic biomarker and therapeutic target in early-stage lung cancer (LC) (Gutschner et al., 2013; Huang et al., 2017; Lu et al., 2018). Otherwise, circulating MALAT1 expression is lower in patients with LC when compared to healthy controls (Weber et al., 2013; Guo et al., 2015). Another lncRNA overexpressed in LC is the imprinted gene H19 which is associated with carcinogenesis from early stages to metastasis, reduced disease-free survival (DFS) time, and poor prognosis. Plasma level of the lncRNA H19 is also increased in NSCLC patients (Ge and Yu, 2013; Luo et al., 2018; Yin et al., 2018). In the same context, the imprinted lncRNA KCNQ1OT1 (LIT1) is dysregulated in human tumors (Nakano et al., 2006), and seems to be related to chemoresistance in tongue squamous cell carcinoma and poor prognosis (Guo et al., 2014).
Wang and collaborators demonstrated that the lncRNA colon cancer-associated transcript 2 (CCAT2) was significantly overexpressed in colorectal cancer (CRC) tissues of CRC patients when compared to healthy controls. Overexpression of CCAT2 was also seen in serum and serum-derived exosomes of the CRC patients (Wang L. et al., 2019). Likewise, in AML, the lncRNAs SBF2-AS1, DANCR, LINC00239, LINC00319, LINC00265 and LEF1-AS1 are overexpressed. Whereas the lncRNA H22954 is downregulated, and its decreased expression is related to a higher risk of relapse (Zimta et al., 2019). In gastric cancer (GC), different lncRNAs are related to drug resistance, by modulating the expression of drug resistance-related genes, such as the oncogenic lncRNAs MACC1-AS1, PVT1 and HAGLR, which are upregulated and promote 5-FU resistance in GC cells (Liu et al., 2022).
CircRNAs have been reported to play important roles in cancer growth, metastasis, and resistance to therapy (Su et al., 2019). In this context, Zhang et al. reported that circUBAP2 was overexpressed in osteosarcoma cells, and its knockdown inhibited cell proliferation and promoted cell apoptosis. CircUBAP2 acts inhibiting the expression of miR-143, thus enhancing the expression of Bcl-2, an important anti-apoptotic molecule (Zhang et al., 2017a). Likewise, circNFIX was found overexpressed in glioma and inhibited apoptosis through sponging miR-34a-5p, regulating NOTCH1 expression (Xu et al., 2018). In NSCLC, circSNAP47 expression, through the miR-1287/GAGE axis, is correlated with metastasis and associated with decreased overall survival (Li et al., 2018). On the other hand, circSHPRH in NSCLC is associated with downregulated metastasis and improved overall survival (Liu et al., 2018).
Due to the important role of ncRNAs in many biological processes through chromatin remodeling, gene expression regulation, protein synthesis and post-translational modifications, these regulatory RNAs have emerged as an important biomarker for cancer diagnosis, with implications in disease prognosis, drug resistance and targeted therapy. Additionally, the possibility to detect small and long ncRNAs in cell-free body fluids and liquid biopsies, circulating ncRNAs represents a new class of minimally invasive biomarkers for the early diagnosis of cancer.
Epigenetic modifications in ncRNAs
RNA modifications have emerged as important post-transcriptional regulators of gene expression patterns and have shown significant implications in several human diseases, including cancer (Barbieri and Kouzarides, 2020; Nombela et al., 2021). These modifications can be divided into two categories: reversible, which include chemical modifications, i.e., the different types of RNA methylation, such as cytosine and adenosine methylation; and non-reversible, i.e., editing and splicing, including the formation of circular RNAs (Esteller and Pandolfi, 2017). Most of the time, those chemical modifications are dynamic, as a result of adaptation to the cell environment, however, they can also be transmitted during mitosis and meiosis.
The epitranscriptome scenery is complex, and more than 170 different types of chemical modifications are described for coding and ncRNAs (Boccaletto et al., 2018). A familiar chemical modification of some RNAs affects its 5′-end, the well-known “5′cap”, and the most characterized cap modification is the addition of an N7-methylguanosine (m7G) (Ramanathan et al., 2016). Another frequent modification in RNAs is the 5-methylcytosine (m5C), first thought to be present only in tRNAs and rRNAs, and later identified in other RNA transcripts, which might have a role in miRNA targeting (Squires et al., 2012). The lncRNA XIST, for example, is regulated by m5C where cytosine methylation has been shown to interfere with the binding of the histone modifier PRC2 (Amort et al., 2013). Importantly, m5C is not a static mark of RNA, and can be demethylated to 5-hydroxymethylcytosine. RNA can also be modified at adenosines in the form of N6-methyladenosine (m6A) and N1-methyladenosine (m1A). m6A is the most abundant internal modification of mRNA (Lee et al., 2014), but it is also relevant for miRNAs controlling their maturation and expression levels. m6A is also found in lncRNAs, being required, for example, for the efficient transcriptional repression mediated by the lncRNA XIST and modulating the structure of lncRNA MALAT1, which is associated with cancer malignancy (Patil et al., 2016; Zhang et al., 2017b). Pseudouridylation, the 5′-ribosyluracil isomers of uridine, is a common modification in ncRNAs, including tRNA, rRNA and snoRNAs and lncRNAs (Ge and Yu, 2013; Schwartz et al., 2014).
All those RNA modifications are dynamic, allowing rapid cellular responses to environmental signals, and finely regulating several molecular processes within the cell: altering RNA metabolism, splicing or translation; RNA stability or intracellular localization; binding affinity to RBPs or other RNAs; and finally diversifying (epi)-genetic information (García-Vílchez et al., 2019; Gkatza et al., 2019; Nombela et al., 2021). Although RNA modifications are not alone considered cancer drivers, the resulting ability of them to modulate several processes of RNA metabolism, leads to aberrant expression of important genes functionally related to survival proliferation, self-renewal, differentiation, migration, stress adaptation, and resistance to therapy, all of which are hallmarks of cancer. Alterations in the expression of m6A writers (i.e. METTL3 and METTL14), erasers (i.e. FTO) or readers (i.e. YTHDC2 and YTHDF1), for example, are associated with tumor-suppressive or tumor-promoting scenarios (Blanco et al., 2016; Cui et al., 2017; Jin et al., 2019; Nombela et al., 2021).
In hepatocellular carcinoma (HCC), for example, the mutation frequency of m5C regulatory genes is high, and their dysregulation is associated with higher stages of HCC (He et al., 2020). In bladder cancer, NSUN2 and m5C reader YBX1 are upregulated, which are positively correlated with T and N stages, and poor disease-free survival in those patients (Chen et al., 2019). In breast cancer cell lines, 2′-O methylation appeared to be hypermodified in rRNA and correlated with altered protein translation (Belin et al., 2009). Modifications in tRNA, which includes m5C or 5-methoxycarbonylmethyluridine (mcm5U), have been also reported in breast cancer, and correlate with altered translation (Begley et al., 2013; Delaunay et al., 2016; Nombela et al., 2021). In bladder cancer cells, METTL3 promotes the maturation of miR-221/222 in an m6A-dependent manner, which causes PTEN reduction, leading to cell proliferation and tumor growth (Han et al., 2019). In HCC, METTL14 promotes the m6A-dependent processing of pri-miR-126, and its depletion reduces m6A levels and expression of miR-126, leading to cancer cell migration and invasion (Ma et al., 2017). In nasopharyngeal carcinoma (NPC), the oncogenic lncRNA FAM225A stabilized by m6A modifications serve as a sponge for miR-590-3p and miR-1275, activating the FAK/PI3K/Akt signaling pathway and promoting tumorigenesis and metastasis (Zheng et al., 2019). Therefore, strategies aiming these aberrant post-transcriptional RNA modifications in cancer cells may be an efficient targeted therapy for tumors.
Epigenetic treatment in cancer
Genetic changes, including genetic mutations, are difficult to reverse, unlike epigenetic modifications which are reversible and can be modulated by pharmacological agents (Zhang et al., 2020). The epigenomic´s reprogramming, leading to changes in the cell landscape, reveals a promising therapeutical approach (Miranda Furtado et al., 2019). Many small molecules targeting epigenetic key enzymes, called epigenetic drugs or epidrugs (Table 1), have been discovered and new compounds that modulate epigenetic marks (Figure 2) are being developed focusing on cancer treatment (Xiao et al., 2021) (Jin et al., 2022b). Epidrugs promotes disruption of transcriptional and post-transcriptional modifications, acting manly on tumor suppressor and DNA repair gene activation (Rodríguez-Paredes and Esteller, 2011; Ghasemi, 2020). These drugs are tumor and disease stage specific and the side effects are mostly related to hematologic disorders like leukopenia, neutropenia and thrombocytopenia, and gastrointestinal symptoms as nausea, emesis, diarrhea and constipation (Table 1) (San Miguel Amigo et al., 2011; Bubna, 2015). Most of the side effects are reversed after treatment cessation and taper off with the use of appropriate medicines (Götze et al., 2010; Dong et al., 2012).
TABLE 1
| Epigenetic target | Compound | Clinical name | Disease | Administration | Side effects | Company | Approved by (Year) |
|---|---|---|---|---|---|---|---|
| DNMT1 | Azacitidine | Vidaza® | MDS | Intravenous | Neutropenia, thrombocytopenia, nausea, emesis, diarrhea, and constipation | Pharmion Corporation | United States FDA (2004) |
| Decitabine | Dacogen® | MDS | Intravenous | Prolonged myelosuppression (neutropenia and thrombocytopenia) | Janssen Pharmaceuticals | United States FDA (2006) | |
| HDACs class I and HDAC6 | Suberoylanilide hydroxamic acid (SAHA) | Vorinostat® | CTCL | Oral | Fatigue, nausea, diarrhea, and thrombocytopenia | Merck | United States FDA (2006) |
| HDAC6 | Romidepsin | Istodax® | CTCL | Intravenous | Fatigue, nausea, leukopenia, granulocytopenia, and thrombocytopenia | Celgene | United States FDA (2009) |
| pan-HDACi | Belinostat | Beleodaq® | T-cell lymphoma | Intravenous | Nausea, vomiting, fatigue, pyrexia, and anemia | Topo Target | United States. FDA (2014) |
| Panobinostat | Farydak® | Multiple myeloma | Oral | Diarrhea, peripheral neuropathy, asthenia, fatigue, neutropenia, thrombocytopenia, and lymphocytopenia | Novartis | United States FDA (2015) | |
| HDAC1, HDAC2 HDAC3 and HDAC10 | Tucidinostat | Epidaza® | PTCL | Oral | Fatigue, anorexia, thrombocytopenia, leukopenia, neutropenia | Chipscreen Biosciences | China FDA (2014) |
Epigenetic drugs approved by FDA.
DNMT, DNA, methyltransferase; HDAC, histone deacetylases; MDS, myelodysplastic syndrome; CTCL, Cutaneous T-cell lymphoma PTCL, Peripheral T-cell lymphoma; U.S, united states; FDA, Food and Drug Administration.
FIGURE 2

Schematic representation of the main epidrugs targets. Histone acetyltransferases (HATs) and deacetylases (HDACs) are enzymes responsible for post-translational acetylation and deacetylation, respectively. HDAC inhibitors (HDACi) such as Vorinostat®, Istodax®, Beleodaq®, Farydak® and Epidaza® induce acetylation thereby promoting transcriptional activation. Histone methyltransferases (HMTs) and demethylases (HDMs) can also be modulated by a new class of epigenetic drugs. DNA methyltransferases (DNMTs) are enzymes responsible for transferring a methyl group to carbon five of cytosine, a repressive epigenetic marker. DNMT inhibitors (DNMTi) like Vidaza® and Dacogen® promote loss of methylation and activation of aberrantly silenced genes. Other compounds with epigenetic activity are inhibitors of the enzyme ten-eleven translocation (TETi), inhibitors of the enzyme isocitrate dehydrogenase (IDHi), inhibitors of the protein arginine methyltransferase (PRMTi), inhibitors of the bromodomain and extra-terminal domain (BETi) and inhibitors of the enhancer of zeste homolog 2 (EZH2i), which is a histone-lysine n-methyltransferase enzyme.
The first epigenetic drug approved by the United States Food and Drug Administration (FDA) was azacitidine (Vidaza®) in 2004 for MDS and chronic myelomonocytic leukemia (Kaminskas et al., 2005), followed by decitabine (Dacogen®) approved in 2006 to treat MDS (Steensma, 2009). Both azacitidine and decitabine are two analogues of the cytidine nucleoside in which the carbon atom in position 5, in the pyrimidine ring, has been replaced by a nitrogen (Derissen et al., 2013). Initially, these compounds were planned as cytotoxic agents, but it was found that low dose exposition could cause DNA demethylation by inhibiting the DNMT1 enzyme responsible for maintaining DNA methylation (Stresemann and Lyko, 2008). These so-called ‘hypomethylating agents’ have been used in myeloid malignancies for more than 1 decade, even though, 50% of patients do not respond initially or during repeated cycles of treatment (Zhao et al., 2021; Šimoničová et al., 2022).
Guadecitabine is a second-generation DNA methylation inhibitor being developed for AML and MDS treatment. It consists of a dinucleotide of decitabine and deoxyguanosine which is resistant to cytidine deaminase, the enzyme which is responsible for decitabine inactivation (Stomper et al., 2021). Guadecitabine might replace azacitidine and decitabine in a near future, due to its higher stability, safety profile and ease of administration (subcutaneous) (Daher-Reyes et al., 2019). Another class of epigenetic drugs are the histone deacetylase inhibitors (HDACi) which increase histone acetylation, an epigenetic mark of transcriptional activation, leading to an accessible chromatin conformation and promoting the expression of important genes that controls cell growth and death (Richon et al., 2009; Ramaiah et al., 2021).
The first HDACi was suberoylanilide hydroxamic acid (SAHA, vorinostat®) approved in 2006 by the FDA for the treatment of cutaneous manifestations of T-cell lymphoma (CTCL) (Duvic and Vu, 2007). After SAHA approval, a depsipeptide natural product from the bacterium Chromobacterium violaceum named romidepsin was approved in 2006 for CTCL and peripheral T-cell lymphomas (PTCL) treatment (McClure et al., 2018). Belinostat became the third FDA approved HDACi for T-cell lymphoma (Campbell and Thomas, 2017). In 2015, panobinostat arise as the first HDACi approved for a nonlymphoma cancer by FDA and also the European Medicines Agency (EMA). Panobinostat is an oral pan-HDACi recommended for relapsed or refractory multiple myeloma management (Berdeja et al., 2021), the first time that an HDACi was proposed and accepted for non-lymphoma cancer treatment, refreshing the possibility of designing inhibitors for all HDACs bearable enough to benefit humans (McClure et al., 2018).
Tucidinostat (chidamide) is a novel oral subtype of selective HDACi. This drug inhibits class I HDACs (HDAC1, HDAC2, HDAC3) and class IIb (HDAC10). It was approved in 2014 as a second-line therapy for peripheral relapsed or refractory T-cell lymphoma by the China Food and Drug Administration. In Japan, tucidinostat was approved in 2021 for relapsed or refractory adult T-cell lymphoma treatment under the name Hiyasta (Sun et al., 2022). Valproic acid is an FDA-approved antiepileptic drug that also presents inhibitory HDAC class I and II activity (Lunke et al., 2021). Currently, valproic acid is in phase III clinical trial as a potential drug to treat cervical and ovarian malignancies and has been proposed in combination regimens with chemotherapy and radiotherapy (Krauze et al., 2015; Suraweera et al., 2018; Tsai et al., 2021).
Compounds that modulate epigenome are being discovered and currently, there is a race in finding potential inhibitors of epigenetic modifiers. Emerging targets that modulate others DNA-modifying enzymes, as TETs and isocitrate dehydrogenase (IDHs) inhibitors (TETi and IDHi) are in current development for cancer treatment. Likewise, the complex network of histone-modifying enzymes has been added in anticancer therapy, as HMTi, HATi, HDMi, KMTi and PRMTi (Ganesan et al., 2019; Morel et al., 2020). An emerging target therapy for cancer treatment in preclinical studies is the EZH2 lysine methyltransferase inhibitors, with great results especially in combination with radiotherapy or chemotherapy, such as cisplatin, gefitinib and tamoxifen (Duan et al., 2020; Morel et al., 2020). Another class of epidrugs are the inhibitors of bromodomain and extra-terminal domain (BETi), a histone “reader” that recognizes and binds to acetylated lysine and is responsible for the recruitment of transcription machinery and gene activation (Cheung et al., 2021).
The combined use of epigenetic drugs with conventional therapies is gaining prominence due to its potential in increasing tumor cells' sensitivity to classical chemotherapy improving the therapeutical effect. A phase Ib/II clinical trial showed that the small molecule eprenetapopt in combination with azacytidine improved clinical response rates and molecular remissions in patients with TP53 mutant MDS and oligoblastic AML (Sallman et al., 2021). A selective BCL-2 inhibitor (Venetoclax) has recently been approved for use in combination with hypomethylating agents (Azacitidine or Decitabine), giving promising results for the treatment of acute myeloid leukemia in patients who are ineligible to receive intensive chemotherapy (Manda et al., 2021). The use of decitabine associated with carboplatin has shown greater efficacy in the treatment of ovarian cancer when compared with conventional therapies by increasing the sensitivity of the tumor cells (Fan et al., 2014; Fu et al., 2015).
In the same context, a phase II study showed that patients with AML or MDS who underwent idarubicin therapy with a high-dose continuous infusion of Ara-C (cytarabine) associated with vorinostat® showed an overall response rate of 85%, and a 76% complete response to treatment in association (Garcia-Manero et al., 2012). A multicenter phase 2 trial showed that the combined use of Vorinostat® with Bortezomib and Dexamethasone showed an overall response of 81.3% in patients with relapsed multiple myeloma, although more studies are necessary to further optimize HDACi-based combinations, in order to improve tolerability and increase the efficacy of combination therapy (Brown et al., 2021). A multicenter phase II trial showed that the triple use of belinostat, carboplatin and paclitaxel was well tolerated and demonstrated clinical benefit in patients with recurrent epithelial ovarian cancer (Finkler et al., 2008). Combination therapy of drugs with the ability to modulate the epigenome and conventional therapies demonstrate increased efficacy and tolerability, requiring lower dosages of each agent, and reducing the side effects caused by conventional chemotherapies (Oing et al., 2019).
Recently, ncRNA have been proposed as a target to overcome therapy resistance. The focus of this approach is to inhibit the specific ncRNA molecule if it is overexpressed or restore the normal function of ncRNAs that are downregulated when therapy resistance occurs (Chen et al., 2022b). Inhibition of the microRNA-21 (miR-21) with a locked-nucleic acid-anti-miR resulted in increased apoptosis level in melanoma cell line and reduced tumor growth and volume in mice (Javanmard et al., 2020). Targeted inhibition of miR-221/222 with anti-miR-221 and anti-miR-222 promoted synergetic effects stimulating cell sensitivity to cisplatin in triple-negative breast cancer cell line (Li et al., 2020).
Epidrug-associated immunotherapy
Immunotherapy refers to the treatment in which the patient’s immune system is reprogrammed and stimulated to fight defective cells such as those resulting from a tumorigenic process. Its main goal is to empower immunity and modulate the tumor microenvironment by releasing cytokines such as interferons, interleukins, and chemokines, promoting T-cell attack and tumoral cell cleaning (Esfahani et al., 2020).
Monoclonal antibodies have been an important therapeutic agent used in the treatment of several types of cancer. Since the approval in 1997 of Rituximab, the first therapeutic antibody approved for oncology patients and used until the present day with success in the treatment of B-cell malignancies, dozens of antibodies recognizing a variety of targets have been used successfully in the treatment of both solid and hematological tumors (Zahavi and Weiner, 2020). New antibody formats have emerged such as antibody-drug conjugates (ADCs), bispecific/multispecific binding, nanobodies, antibody fragments, and other engineered molecules (Jin et al., 2022a). In addition to monotherapy, antibodies can be combined with other drugs since multiple treatments can increase their effectiveness and decrease chemoresistance (Miranda Furtado et al., 2019).
Epidrugs are alternative strategies for a more personalized tumor treatment because they might sensitize tumors to immune checkpoint inhibitors and cell therapy, besides their effect on viral mimicry response and immune cell activation. Currently, several clinical trials on different tumor types are ongoing using epidrugs alone or in combination with other immunotherapy drugs (Xu et al., 2022). There are different approaches regarding the use of epidrugs in cancer treatment, such as DNA methyltransferase inhibitors (DNMTi), histone deacetylase inhibitors HDACi, and bromodomain and extra-terminal motif inhibitors BETi.
New combinations of epidrugs and immunotherapeutic molecules have shown potential clinical application for cancer treatment. A study of colorectal cancer in CT26 tumor-bearing mouse model revealed a therapeutic gain when low-dose decitabine was administrated with anti-PD-1 regimen (Yu et al., 2019). Decitabine is a well-known DNMTi and FDA-approved drug. A methylation profile was assessed in decitabine-treated CT26 cells and patient-derived xenografts (PDX) model, and tumor cells were significantly downregulated regarding methylation of promoter regions after decitabine treatment. It was also observed that decitabine in combination with anti-PD-1 antibody administration promoted longer survival in PDX mice than single therapy. These results shed light on the role of decitabine on tumor microenvironment re-modulation of methylation profile of promoter genes and suggest that PD-1 blockade and low-dose decitabine would be effective in future clinical trials.
Huang also correlated decitabine and anti-PD-L1 treatment to colorectal cancer (Huang et al., 2020). Using in vitro and in vivo models, the study showed that decitabine induces DNA hypomethylation which enhances tumor PD-L1 expression via an epigenetic mechanism, improving the therapeutic efficacy of anti-PD-L1 immunotherapy. Besides, decitabine treatment modifies the interferon signaling pathway and remodels the tumor microenvironment, recruiting more immune cells, such as T cells for antitumor immunity (Huang et al., 2020).
An important work performed by Goltz used data from 470 melanoma patients provided by The Cancer Genome Atlas and a cohort of 50 metastatic melanoma patients treated with anti–PD-1 or/and anti–CTLA-4 antibodies, to investigate if CTLA-4 promoter methylation profile can be used as a biomarker to predict more successful treatment with ICB (immune checkpoint blockage). Methylation levels in patients treated with anti-PD-1 and anti-CTLA-4 were slightly lower when compared to the non-ICB cohort. Low CTLA-4 methylation levels also play a key role in prolonged overall survival observed in patients (Goltz et al., 2018). The study paves the way for use of demethylating agents to aid the treatment with immune checkpoint inhibitors. Several clinical trials have been performed to evaluate the effects of the combination of epigenetic inhibitors and immunotherapies which creates hope for more efficient treatments and overcomes the limitations of current approaches (Topper et al., 2020; Villanueva et al., 2020; Licht and Bennett, 2021).
Epi-cell therapy
Chimeric Antigen Receptor (CAR-T) cell therapy has revolutionized personalized cancer treatment. Some of the strategies available for this approach target B cell tumors, through molecular markers such as CD19, CD20, and CD22. DNA methylation profiles have been reported to impact outcomes of CAR-T targeting CD19 treatment. A study revealed that the use of the DNA methylation inhibitor 5-Aza-2′-deoxycytidine in the hypermethylated T-cell lines resulted in the downregulation of INPP5A and ECHDC1 expression levels. These genes are involved in intracellular signaling cascades, important to CAR-T Cell therapy. In addition, these T-cell–derived lines also showed that hypermethylation of 5′-end CpG sites was associated with transcript downregulation. An illustrative example is the 5′-UTR CpG hypermethylation of FOXN3, a candidate tumor suppressor gene for T-cell acute lymphocytic leukemia which was downregulated in the T-cell-derived lines mentioned (Garcia-Prieto et al., 2022). Wang discussed the influence of decitabine, a DNMTi, on T-cell exhaustion of CAR-T therapy. Decitabine-treated CAR-T cells (dCAR) differentially expressed genes regarding proliferation, cytokine secretion, cytotoxicity and memory in vitro. dCAR also presented tumor shrinkage in the acute lymphoblastic leukemia mouse model (Wang et al., 2021). Xu reveal the benefits of priming CAR-T cell therapy mice with 5-azacytidine, a DNMTi. CD19+ B-cell acute lymphoblastic leukemia mouse models were used to perform those experiments. A regimen of 1 day of azacitidine before CAR-T cell infusion expanded IFNγ+ effector T cells and promoted CAR-T cell divisions. Azacitidine was related to activating several immune pathways, such as TNFSF4, a gene that encodes OX40L which is related to co-stimulatory signals on CAR-T cells. Another interesting finding is that neither PD-L1/PD-L2 expression in leukemia cells nor PD-1 expression in CAR-T cells was affected by pre-treatment with azacitidine, suggesting that azacitidine effects were not mediated through the modulation of the inhibitory PD-1 checkpoint (Xu et al., 2021). Thus, the study of the epigenetics landscape in CART-T-Cells can improve the efficacy of the cellular immunotherapy treatment in patients with B-cell malignancy and expanding its use to other oncological diseases.
Conclusion
Epigenetic reprogramming is the main event to promote cell differentiation, and once cell fate is determined, the epigenetic pattern of genomic function must be stably maintained during DNA replication in cell division. Disruption of the epigenetic landscape of differentiated cells changes cell fate and promotes carcinogenesis and tumor progression. Thought waves of reprogramming cancer cells have the ability to return to a less differentiated state or aberrantly reprogram the stem progenitor. This stem cell-like phenotype is a challenge in cancer treatment leading to resistance, recurrence, and poor overall survival. Loss of global DNA methylation, aberrant activation/inactivation of growth-related genes, altered chromatin remodeling through histone modifications and ncRNA interaction, as well as disrupted expression of microRNAs and lncRNA, are molecular features of many cancer types. Given the heterogeneity of tumor cells, epigenetic changes have been highlighted as an important diagnostic marker, even in the early stages of cancer development, with great prognostic value. Recently, ncRNAs have an emerging role as a less invasive biomarker for diagnosis since they can be easily detected in body fluid and liquid biopsies. The complex regulatory machinery involved in the establishment and maintenance of epigenetic markers, and the cell-type specific modifications, give an individual variation in oncology, highlighting the importance of precision medicine. In this field, regulating the enzymes that catalyze epigenetic modifications using inhibitors or compounds that target these modifications has been extensively used in cancer therapy, especially for hematological tumors, although some of them are used for solid tumors as combinatory therapy. DNMTi and HDACi are the main epidrugs in clinical use and other new classes of epigenetic modulators are in development. Even though it has great results as monotherapy, the synergic use with other anticancer therapies, such as chemo, hormonal or immunotherapy has expanded the potential and effectiveness of epidrugs on cancer treatment.
Statements
Author contributions
PMSC, SLAS and CLMF, designed the manuscript; All authors participated in writing and approved this manuscript’s final version and submission.
Funding
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Programa de Excelência Acadêmica (CAPES-PROEX) and Programa de Apoio à Pós-Graduação (CAPES-PROAP), and Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, Grant Numbers: 437037/2018-5 (CLMF), 439019/2018-4 (GPF) and 434821/2018-7 (CP), besides the research sponsorships of CP(PQ-1B, Process no: 303102/2013-6).
Acknowledgments
The authors are grateful to University of Fortaleza (UNIFOR) for the financial support in the publication; the members of the Experimental Oncology Laboratory (LOE), the Drug Research and Development Center (NPDM) at the Federal University of Ceará (UFC), the Oswaldo Cruz Foundation–Ceara for the support offered.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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References
1
Amort T. Soulière M. F. Wille A. Jia X. Y. Fiegl H. Wörle H. et al (2013). Long non-coding RNAs as targets for cytosine methylation. RNA Biol.10, 1003–1008. 10.4161/rna.24454
2
An J. Rao A. Ko M. (2017). TET family dioxygenases and DNA demethylation in stem cells and cancers. Exp. Mol. Med.49, e323. 10.1038/emm.2017.5
3
Aprile M. Katopodi V. Leucci E. Costa V. (2020). Lncrnas in cancer: From garbage to junk. Cancers (Basel)12, 3220. 10.3390/cancers12113220
4
Bannister A. J. Kouzarides T. (2011). Regulation of chromatin by histone modifications. Cell Res.21, 381–395. 10.1038/cr.2011.22
5
Barbieri I. Kouzarides T. (2020). Role of RNA modifications in cancer. Nat. Rev. Cancer20, 303–322. 10.1038/s41568-020-0253-2
6
Bauden M. Pamart D. Ansari D. Herzog M. Eccleston M. Micallef J. et al (2015). Circulating nucleosomes as epigenetic biomarkers in pancreatic cancer. Clin. Epigenetics7, 106. 10.1186/s13148-015-0139-4
7
Baylin S. B. Jones P. A. (2011). A decade of exploring the cancer epigenome-biological and translational implications. Nat. Rev. Cancer11, 726–734. 10.1038/nrc3130
8
Baylin S. B. Jones P. A. (2016). Epigenetic determinants of cancer. Cold Spring Harb. Perspect. Biol.8, a019505. 10.1101/cshperspect.a019505
9
Begley U. Sosa M. S. Avivar-Valderas A. Patil A. Endres L. Estrada Y. et al (2013). A human tRNA methyltransferase 9-like protein prevents tumour growth by regulating LIN9 and HIF1-α. EMBO Mol. Med.5, 366–383. 10.1002/emmm.201201161
10
Belin S. Beghin A. Solano-Gonzàlez E. Bezin L. Brunet-Manquat S. Textoris J. et al (2009). Dysregulation of ribosome biogenesis and translational capacity is associated with tumor progression of human breast cancer cells. PLoS One4, e7147. 10.1371/journal.pone.0007147
11
Berdeja J. G. Laubach J. P. Richter J. Stricker S. Spencer A. Richardson P. G. et al (2021). Panobinostat from bench to bedside: Rethinking the treatment paradigm for multiple myeloma. Clin. Lymphoma Myeloma Leuk.21, 752–765. 10.1016/j.clml.2021.06.020
12
Blanco S. Bandiera R. Popis M. Hussain S. Lombard P. Aleksic J. et al (2016). Stem cell function and stress response are controlled by protein synthesis. Nature534, 335–340. 10.1038/nature18282
13
Boccaletto P. MacHnicka M. A. Purta E. Pitkowski P. Baginski B. Wirecki T. K. et al (2018). Modomics: A database of RNA modification pathways. 2017 update. Nucleic Acids Res.46, D303–D307. 10.1093/nar/gkx1030
14
Brown S. Pawlyn C. Tillotson A. L. Sherratt D. Flanagan L. Low E. et al (2021). Bortezomib, vorinostat, and Dexamethasone combination therapy in relapsed myeloma: Results of the phase 2 MUK four trial. Clin. Lymphoma Myeloma Leuk.21, 154–161. 10.1016/j.clml.2020.11.019
15
Bubna A. K. (2015). Vorinostat-An overview. Indian J. Dermatol60, 419. 10.4103/0019-5154.160511
16
Byun H. M. Wong H. L. Birnstein E. A. Wolff E. M. Liang G. Yang A. S. (2007). Examination of IGF2 and H19 loss of imprinting in bladder cancer. Cancer Res.67, 10753–10758. 10.1158/0008-5472.CAN-07-0329
17
Cabili M. Trapnell C. Goff L. Koziol M. Tazon-Vega B. Regev A. et al (2011). Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses. Genes Dev.25, 1915–1927. 10.1101/gad.17446611
18
Campbell P. Thomas C. M. (2017). Belinostat for the treatment of relapsed or refractory peripheral T-cell lymphoma. J. Oncol. Pharm. Pract.23, 143–147. 10.1177/1078155216634178
19
Cavalcante G. M. Borges D. P. de Oliveira R. T. G. Furtado C. L. M. Alves A. P. N. N. Sousa A. M. et al (2022). Tissue methylation and demethylation influence translesion synthesis DNA polymerases (TLS) contributing to the Genesis of chromosomal abnormalities in myelodysplastic syndrome. J. Clin. Pathol.75, 85–93. 10.1136/jclinpath-2020-207131
20
Chase A. Cross N. C. P. (2011). Aberrations of EZH2 in cancer. Clin. Cancer Res.17, 2613–2618. 10.1158/1078-0432.CCR-10-2156
21
Chen A. Wang L. Li B. Y. Sherman J. Ryu J. E. Hamamura K. et al (2017). Reduction in migratory phenotype in a metastasized breast cancer cell line via downregulation of S100A4 and GRM3. Sci. Rep.7, 3459. 10.1038/s41598-017-03811-9
22
Chen B. Dragomir M. P. Yang C. Li Q. Horst D. Calin G. A. (2022a). Targeting non-coding RNAs to overcome cancer therapy resistance. Signal Transduct. Target. Ther.7, 121. 10.1038/s41392-022-00975-3
23
Chen B. Petricca J. Ye W. Guan J. Zeng Y. Cheng N. et al (2022b). The cell-free DNA methylome captures distinctions between localized and metastatic prostate tumors. Nat. Commun.13, 6467. 10.1038/s41467-022-34012-2
24
Chen X. Li A. Sun B. F. Yang Y. Han Y. N. Yuan X. et al (2019). 5-methylcytosine promotes pathogenesis of bladder cancer through stabilizing mRNAs. Nat. Cell Biol.21, 978–990. 10.1038/s41556-019-0361-y
25
Chen Y. Ren B. Yang J. Wang H. Yang G. Xu R. et al (2020). The role of histone methylation in the development of digestive cancers: A potential direction for cancer management. Signal Transduct. Target Ther.5, 143. 10.1038/s41392-020-00252-1
26
Cheung K. L. Kim C. Zhou M. M. (2021). The functions of BET proteins in gene transcription of biology and diseases. Front. Mol. Biosci.8, 728777. 10.3389/fmolb.2021.728777
27
Chheda M. G. Gutmann D. H. (2017). Using epigenetic reprogramming to treat pediatric brain cancer. Cancer Cell31, 609–611. 10.1016/j.ccell.2017.04.008
28
Church T. R. Wandell M. Lofton-Day C. Mongin S. J. Burger M. Payne S. R. et al (2014). Prospective evaluation of methylated SEPT9 in plasma for detection of asymptomatic colorectal cancer. Gut63, 317–325. 10.1136/gutjnl-2012-304149
29
Cimmino L. Abdel-Wahab O. Levine R. L. Aifantis I. (2011). TET family proteins and their role in stem cell differentiation and transformation. Cell Stem Cell9, 193–204. 10.1016/j.stem.2011.08.007
30
Corces M. R. Granja J. M. Shams S. Louie B. H. Seoane J. A. Zhou W. et al (2018). The chromatin accessibility landscape of primary human cancers. Science362, eaav1898. 10.1126/science.aav1898
31
Cuciniello R. Filosa S. Crispi S. (2021). Novel approaches in cancer treatment: Preclinical and clinical development of small non-coding RNA therapeutics. J. Exp. Clin. Cancer Res.40, 383. 10.1186/s13046-021-02193-1
32
Cui Q. Shi H. Ye P. Li L. Qu Q. Sun G. et al (2017). m6A RNA methylation regulates the self-renewal and tumorigenesis of glioblastoma stem cells. Cell Rep.18, 2622–2634. 10.1016/j.celrep.2017.02.059
33
Daher-Reyes G. S. Merchan B. M. Yee K. W. L. (2019). Guadecitabine (SGI-110): An investigational drug for the treatment of myelodysplastic syndrome and acute myeloid leukemia. Expert Opin. Investig. Drugs28, 835–849. 10.1080/13543784.2019.1667331
34
Das P. M. Singal R. (2004). DNA methylation and cancer. J. Clin. Oncol.22, 4632–4642. 10.1200/JCO.2004.07.151
35
Delaunay S. Rapino F. Tharun L. Zhou Z. Heukamp L. Termathe M. et al (2016). Elp3 links tRNA modification to IRES-dependent translation of LEF1 to sustain metastasis in breast cancer. J. Exp. Med.213, 2503–2523. 10.1084/jem.20160397
36
Deligezer U. Akisik E. Z. Akisik E. E. Kovancilar M. Bugra D. Erten N. et al (2010). “H3K9me3/H4K20me3 ratio in circulating nucleosomes as potential biomarker for colorectal cancer,” in Circulating nucleic acids in plasma and serum (Berlin, Germany: Springer), 97–103. 10.1007/978-90-481-9382-0_14
37
Demetriadou C. Koufaris C. Kirmizis A. (2020). Histone N-alpha terminal modifications: Genome regulation at the tip of the tail. Epigenetics Chromatin13, 29. 10.1186/s13072-020-00352-w
38
Derissen E. J. B. Beijnen J. H. Schellens J. H. M. (2013). Concise drug review: Azacitidine and decitabine. Oncologist18, 619–624. 10.1634/theoncologist.2012-0465
39
DeVos T. Tetzner R. Model F. Weiss G. Schuster M. Distler J. et al (2009). Circulating methylated SEPT9 DNA in plasma is a biomarker for colorectal cancer. Clin. Chem.55, 1337–1346. 10.1373/clinchem.2008.115808
40
Dong M. Ning Z. Q. Xing P. Y. Xu J. L. Cao H. X. Dou G. F. et al (2012). Phase i study of chidamide (CS055/HBI-8000), a new histone deacetylase inhibitor, in patients with advanced solid tumors and lymphomas. Cancer Chemother. Pharmacol.69, 1413–1422. 10.1007/s00280-012-1847-5
41
Duan R. Du W. Guo W. (2020). EZH2: A novel target for cancer treatment. J. Hematol. Oncol.13, 104. 10.1186/s13045-020-00937-8
42
Duvic M. Vu J. (2007). Vorinostat: A new oral histone deacetylase inhibitor approved for cutaneous T-cell lymphoma. Expert Opin. Investig. Drugs16, 1111–1120. 10.1517/13543784.16.7.1111
43
Engreitz J. M. Haines J. E. Perez E. M. Munson G. Chen J. Kane M. et al (2016). Local regulation of gene expression by lncRNA promoters, transcription and splicing. Nature539, 452–455. 10.1038/nature20149
44
Esfahani K. Roudaia L. Buhlaiga N. del Rincon S. v. Papneja N. Miller W. H. (2020). A review of cancer immunotherapy: From the past, to the present, to the future. Curr. Oncol.27, S87–S97. 10.3747/co.27.5223
45
Esteller M. Pandolfi P. P. (2017). The epitranscriptome of noncoding RNAs in cancer. Cancer Discov.7, 359–368. 10.1158/2159-8290.CD-16-1292
46
Fan H. Lu X. Wang X. Liu Y. Guo B. Zhang Y. et al (2014). Low-dose decitabine-based chemoimmunotherapy for patients with refractory advanced solid tumors: A phase I/II report. J. Immunol. Res.2014, 371087. 10.1155/2014/371087
47
Feinberg A. P. Koldobskiy M. A. Göndör A. (2016). Epigenetic modulators, modifiers and mediators in cancer aetiology and progression. Nat. Rev. Genet.17, 284–299. 10.1038/nrg.2016.13
48
Feinberg A. P. Ohlsson R. Henikoff S. (2006). The epigenetic progenitor origin of human cancer. Nat. Rev. Genet.7, 21–33. 10.1038/nrg1748
49
Finkler N. J. Dizon D. S. Braly P. Micha J. Lassen U. Celano P. et al (2008). Phase II multicenter trial of the histone deactylase inhibitor (HDACi) belinostat, carboplatin and paclitaxel (BelCaP) in patients (pts) with relapsed epithelial ovarian cancer (EOC). J. Clin. Oncol.26, 5519. 10.1200/jco.2008.26.15_suppl.5519
50
Fraga M. F. Ballestar E. Villar-Garea A. Boix-Chornet M. Espada J. Schotta G. et al (2005). Loss of acetylation at Lys16 and trimethylation at Lys20 of histone H4 is a common hallmark of human cancer. Nat. Genet.37, 391–400. 10.1038/ng1531
51
Fu X. Zhang Y. Wang X. Chen M. Wang Y. Nie J. et al (2015). Low dose decitabine combined with taxol and platinum chemotherapy to treat refractory/recurrent ovarian cancer: An open-label, single-arm, phase I/II study. Curr. Protein Pept. Sci.16, 329–336. 10.2174/138920371604150429155740
52
Ganesan A. Arimondo P. B. Rots M. G. Jeronimo C. Berdasco M. (2019). The timeline of epigenetic drug discovery: From reality to dreams. Clin. Epigenetics11, 174. 10.1186/s13148-019-0776-0
53
Garcia-Manero G. Tambaro F. P. Bekele N. B. Yang H. Ravandi F. Jabbour E. et al (2012). Phase II trial of vorinostat with idarubicin and cytarabine for patients with newly diagnosed acute myelogenous leukemia or myelodysplastic syndrome. J. Clin. Oncol.30, 2204–2210. 10.1200/JCO.2011.38.3265
54
Garcia-Prieto C. A. Villanueva L. Bueno-Costa A. Davalos V. González-Navarro E. A. Juan M. et al (2022). Epigenetic profiling and response to CD19 chimeric antigen receptor T-cell therapy in B-cell malignancies. J. Natl. Cancer Inst.114, 436–445. 10.1093/jnci/djab194
55
García-Vílchez R. Sevilla A. Blanco S. (2019). Post-transcriptional regulation by cytosine-5 methylation of RNA. Biochim. Biophys. Acta Gene Regul. Mech.1862, 240–252. 10.1016/j.bbagrm.2018.12.003
56
Ge J. Yu Y. T. (2013). RNA pseudouridylation: New insights into an old modification. Trends Biochem. Sci.38, 210–218. 10.1016/j.tibs.2013.01.002
57
Geiman T. M. Muegge K. (2010). DNA methylation in early development. Mol. Reprod. Dev.77, 105–113. 10.1002/mrd.21118
58
Gezer U. Yörüker E. E. Keskin M. Kulle C. B. Dharuman Y. Holdenrieder S. (2015). Histone methylation marks on circulating nucleosomes as novel blood-based biomarker in colorectal cancer. Int. J. Mol. Sci.16, 29654–29662. 10.3390/ijms161226180
59
Ghasemi S. (2020). Cancer’s epigenetic drugs: Where are they in the cancer medicines?Pharmacogenomics J.20, 367–379. 10.1038/s41397-019-0138-5
60
Giannopoulou L. Zavridou M. Kasimir-Bauer S. Lianidou E. S. (2019). Liquid biopsy in ovarian cancer: The potential of circulating miRNAs and exosomes. Transl. Res.205, 77–91. 10.1016/j.trsl.2018.10.003
61
Gibney E. R. Nolan C. M. (2010). Epigenetics and gene expression. Hered. (Edinb)105, 4–13. 10.1038/hdy.2010.54
62
Gkatza N. A. Castro C. Harvey R. F. Heiß M. Popis M. C. Blanco S. et al (2019). Cytosine-5 RNA methylation links protein synthesis to cell metabolism. PLoS Biol.17, e3000297. 10.1371/journal.pbio.3000297
63
Goltz D. Gevensleben H. Vogt T. J. Dietrich J. Golletz C. Bootz F. et al (2018). CTLA4 methylation predicts response to anti-PD-1 and anti-CTLA-4 immunotherapy in melanoma patients. JCI Insight3, e96793. 10.1172/jci.insight.96793
64
Götze K. Platzbecker U. Giagounidis A. Haase D. Lübbert M. Aul C. et al (2010). Azacitidine for treatment of patients with myelodysplastic syndromes (MDS): Practical recommendations of the German MDS study group. Ann. Hematol.89, 841–850. 10.1007/s00277-010-1015-0
65
Graf N. Bergeron C. Brok J. de Camargo B. Chowdhury T. Furtwängler R. et al (2021). Fifty years of clinical and research studies for childhood renal tumors within the International Society of Pediatric Oncology (SIOP). Ann. Oncol.32, 1327–1331. 10.1016/j.annonc.2021.08.1749
66
Greer E. L. Shi Y. (2012). Histone methylation: A dynamic mark in health, disease and inheritance. Nat. Rev. Genet.13, 343–357. 10.1038/nrg3173
67
Guillamot M. Cimmino L. Aifantis I. (2016). The impact of DNA methylation in hematopoietic malignancies. Trends Cancer2, 70–83. 10.1016/j.trecan.2015.12.006
68
Guo F. Yu F. Wang J. Li Y. Li Y. Li Z. et al (2015). Expression of MALAT1 in the peripheral whole blood of patients with lung cancer. Biomed. Rep.3, 309–312. 10.3892/br.2015.422
69
Guo X. Xia J. Deng K. (2014). Long non-coding RNAs: Emerging players in gastric cancer. Tumor Biol.35, 10591–10600. 10.1007/s13277-014-2548-y
70
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. 10.1158/0008-5472.CAN-12-2850
71
Guttman M. Amit I. Garber M. French C. Lin M. F. Feldser D. et al (2009). Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals. Nature458, 223–227. 10.1038/nature07672
72
Han J. Wang J. Z. Yang X. Yu H. Zhou R. Lu H. C. et al (2019). METTL3 promote tumor proliferation of bladder cancer by accelerating pri-miR221/222 maturation in m6A-dependent manner. Mol. Cancer18, 110. 10.1186/s12943-019-1036-9
73
Hanahan D. (2022). Hallmarks of cancer: New dimensions. Cancer Discov.12, 31–46. 10.1158/2159-8290.CD-21-1059
74
Handy D. E. Castro R. Loscalzo J. (2011). Epigenetic modifications: Basic mechanisms and role in cardiovascular disease. Circulation123, 2145–2156. 10.1161/CIRCULATIONAHA.110.956839
75
Hashimoto H. Horton J. R. Zhang X. Bostick M. Jacobsen S. E. Cheng X. (2008). The SRA domain of UHRF1 flips 5-methylcytosine out of the DNA helix. Nature455, 826–829. 10.1038/nature07280
76
He Y. Yu X. Li J. Zhang Q. Zheng Q. Guo W. (2020). Role of m5C-related regulatory genes in the diagnosis and prognosis of hepatocellular carcinoma. Am. J. Transl. Res.12, 912–922.
77
Heidrich I. Ačkar L. Mossahebi Mohammadi P. Pantel K. (2021). Liquid biopsies: Potential and challenges. Int. J. Cancer148, 528–545. 10.1002/ijc.33217
78
Hessvik N. P. Sandvig K. Llorente A. (2013). Exosomal miRNAs as biomarkers for prostate cancer. Front. Genet.4, 36. 10.3389/fgene.2013.00036
79
Hidaka H. Higashimoto K. Aoki S. Mishima H. Hayashida C. Maeda T. et al (2018). Comprehensive methylation analysis of imprinting-associated differentially methylated regions in colorectal cancer. Clin. Epigenetics10, 150. 10.1186/s13148-018-0578-9
80
Horlbeck M. A. Liu S. J. Chang H. Y. Lim D. A. Weissman J. S. (2020). Fitness effects of CRISPR/Cas9-targeting of long noncoding RNA genes. Nat. Biotechnol.38, 573–576. 10.1038/s41587-020-0428-0
81
Hu Y. Zhang Y. Ding M. Xu R. (2020). Lncrna linc00511 acts as an oncogene in colorectal cancer via sponging mir-29c-3p to upregulate nfia. Onco Targets Ther.13, 13413–13424. 10.2147/OTT.S250377
82
Huang J. L. Liu W. Tian L. H. Chai T. T. Liu Y. Feng Z. et al (2017). Upregulation of long non-coding RNA MALAT-1 confers poor prognosis and influences cell proliferation and apoptosis in acute monocytic leukemia. Oncol. Rep.38, 1353–1362. 10.3892/or.2017.5802
83
Huang K. C. Y. Chiang S. F. Chen W. T. L. Chen T. W. Hu C. H. Yang P. C. et al (2020). Decitabine augments chemotherapy-induced PD-L1 upregulation for PD-L1 blockade in colorectal cancer. Cancers (Basel)12, 462. 10.3390/cancers12020462
84
Hunter P. (2017). Tackling the great challenges in biology: Beyond evolution, defining the greatest challenges in biology is a challenge itself. EMBO Rep.18, 1290–1293. 10.15252/embr.201744718
85
Hur K. Cejas P. Feliu J. Moreno-Rubio J. Burgos E. Boland C. R. et al (2014). Hypomethylation of long interspersed nuclear element-1 (LINE-1) leads to activation of protooncogenes in human colorectal cancer metastasis. Gut63, 635–646. 10.1136/gutjnl-2012-304219
86
Husmann D. Gozani O. (2019). Histone lysine methyltransferases in biology and disease. Nat. Struct. Mol. Biol.26, 880–889. 10.1038/s41594-019-0298-7
87
Ilango S. Paital B. Jayachandran P. Padma P. R. Nirmaladevi R. (2020). Epigenetic alterations in cancer. Front. Biosci. - Landmark25, 1058–1109. 10.2741/4847
88
Javanmard S. H. Vaseghi G. Ghasemi A. Rafiee L. Ferns G. A. Esfahani H. N. et al (2020). Therapeutic inhibition of microRNA-21 (miR-21) using locked-nucleic acid (LNA)-anti-miR and its effects on the biological behaviors of melanoma cancer cells in preclinical studies. Cancer Cell Int.20, 384. 10.1186/s12935-020-01394-6
89
Jelinic P. Shaw P. (2007). Loss of imprinting and cancer. J. Pathology211, 261–268. 10.1002/path.2116
90
Jin D. Guo J. Wu Y. Du J. Yang L. Wang X. et al (2019). M6A mRNA methylation initiated by METTL3 directly promotes YAP translation and increases YAP activity by regulating the MALAT1-miR-1914-3p-YAP axis to induce NSCLC drug resistance and metastasis. J. Hematol. Oncol.12, 135. 10.1186/s13045-019-0830-6
91
Jin S. Liu T. Luo H. Liu Y. Liu D. (2022b). Targeting epigenetic regulatory enzymes for cancer therapeutics: Novel small-molecule epidrug development. Front. Oncol.12, 848221. 10.3389/fonc.2022.848221
92
Jin S. Sun Y. Liang X. Gu X. Ning J. Xu Y. et al (2022a). Emerging new therapeutic antibody derivatives for cancer treatment. Signal Transduct. Target Ther.7, 39. 10.1038/s41392-021-00868-x
93
Kaminskas E. Farrell A. Abraham S. Baird A. Hsieh L. S. Lee S. L. et al (2005). Approval summary: Azacitidine for treatment of myelodysplastic syndrome subtypes. Clin. Cancer Res.11, 3604–3608. 10.1158/1078-0432.CCR-04-2135
94
Kim J. Bretz C. L. Lee S. (2015). Epigenetic instability of imprinted genes in human cancers. Nucleic Acids Res.43, 10689–10699. 10.1093/nar/gkv867
95
Kneip C. Schmidt B. Seegebarth A. Weickmann S. Fleischhacker M. Liebenberg V. et al (2011). SHOX2 DNA methylation is a biomarker for the diagnosis of lung cancer in plasma. J. Thorac. Oncol.6, 1632–1638. 10.1097/JTO.0b013e318220ef9a
96
Krauze A. v. Myrehaug S. D. Chang M. G. Holdford D. J. Smith S. Shih J. et al (2015). A phase 2 study of concurrent radiation therapy, temozolomide, and the histone deacetylase inhibitor valproic acid for patients with glioblastoma. Int. J. Radiat. Oncol. Biol. Phys.92, 986–992. 10.1016/j.ijrobp.2015.04.038
97
Krug B. de Jay N. Harutyunyan A. S. Deshmukh S. Marchione D. M. Guilhamon P. et al (2019). Pervasive H3K27 acetylation leads to ERV expression and a therapeutic vulnerability in H3K27M gliomas. Cancer Cell35, 782–797. 10.1016/j.ccell.2019.04.004
98
Kumarswamy R. Volkmann I. Thum T. (2011). Regulation and function of miRNA-21 in health and disease. RNA Biol.8, 706–713. 10.4161/rna.8.5.16154
99
Kweon S. M. Chen Y. Moon E. Kvederaviciutė K. Klimasauskas S. Feldman D. E. (2019). An adversarial DNA N6-methyladenine-sensor network preserves polycomb silencing. Mol. Cell74, 1138–1147. 10.1016/j.molcel.2019.03.018
100
Lam J. K. W. Chow M. Y. T. Zhang Y. Leung S. W. S. (2015). siRNA versus miRNA as therapeutics for gene silencing. Mol. Ther. Nucleic Acids4, e252. 10.1038/mtna.2015.23
101
Larrea E. Sole C. Manterola L. Goicoechea I. Armesto M. Arestin M. et al (2016). New concepts in cancer biomarkers: Circulating miRNAs in liquid biopsies. Int. J. Mol. Sci.17, 627. 10.3390/ijms17050627
102
Lawrence M. Daujat S. Schneider R. (2016). Lateral thinking: How histone modifications regulate gene expression. Trends Genet.32, 42–56. 10.1016/j.tig.2015.10.007
103
Lee M. Kim B. Kim V. N. (2014). Emerging roles of RNA modification: M6A and U-tail. Cell158, 980–987. 10.1016/j.cell.2014.08.005
104
Li P. Liu S. Du L. Mohseni G. Zhang Y. Wang C. (2022). Liquid biopsies based on DNA methylation as biomarkers for the detection and prognosis of lung cancer. Clin. epigenetics14, 118. 10.1186/s13148-022-01337-0
105
Li S. Li Q. Lü J. Zhao Q. Li D. Shen L. et al (2020). Targeted inhibition of miR-221/222 promotes cell sensitivity to cisplatin in triple-negative breast cancer MDA-MB-231 cells. Front. Genet.10, 1278. 10.3389/fgene.2019.01278
106
Li Y. Hu J. Li L. Cai S. Zhang H. Zhu X. et al (2018). Upregulated circular RNA circ_0016760 indicates unfavorable prognosis in NSCLC and promotes cell progression through miR-1287/GAGE1 axis. Biochem. Biophys. Res. Commun.503, 2089–2094. 10.1016/j.bbrc.2018.07.164
107
Liang L. Zhang Y. Li C. Liao Y. Wang G. Xu J. et al (2022). Plasma cfDNA methylation markers for the detection and prognosis of ovarian cancer. EBioMedicine83, 104222. 10.1016/j.ebiom.2022.104222
108
Licht J. D. Bennett R. L. (2021). Leveraging epigenetics to enhance the efficacy of immunotherapy. Clin. Epigenetics13, 115. 10.1186/s13148-021-01100-x
109
Lin Q. Chen J. Yin H. Li M. Zhou C. Ren H. et al (2022). DNA N6-methyladenine involvement and regulation of hepatocellular carcinoma development. Genomics114, 110265. 10.1016/j.ygeno.2022.01.002
110
Ling C. Rönn T. (2019). Epigenetics in human obesity and type 2 diabetes. Cell Metab.29, 1028–1044. 10.1016/j.cmet.2019.03.009
111
Liu T. Song Z. Gai Y. (2018). Circular RNA circ_0001649 acts as a prognostic biomarker and inhibits NSCLC progression via sponging miR-331-3p and miR-338-5p. Biochem. Biophys. Res. Commun.503, 1503–1509. 10.1016/j.bbrc.2018.07.070
112
Liu Y. Ao X. Wang Y. Li X. Wang J. Chen L. (2022). Case report: Condylar metastasis from hepatocellular carcinoma: An uncommon case report and literature review. Front. Oncol.12, 1085543. 10.3389/fonc.2022.1085543
113
Lone S. N. Nisar S. Masoodi T. Singh M. Rizwan A. Hashem S. et al (2022). Liquid biopsy: A step closer to transform diagnosis, prognosis and future of cancer treatments. Mol. cancer21, 79. 10.1186/s12943-022-01543-7
114
Lou N. Ruan A. M. Qiu B. Bao L. Xu Y. C. Zhao Y. et al (2017). miR-144-3p as a novel plasma diagnostic biomarker for clear cell renal cell carcinoma. Urologic Oncol. Seminars Orig. Investigations35, e7–e36. 10.1016/j.urolonc.2016.07.012
115
Lu T. Wang Y. Chen D. Liu J. Jiao W. (2018). Potential clinical application of lncRNAs in non-small cell lung cancer. Onco Targets Ther.11, 8045–8052. 10.2147/OTT.S178431
116
Lunke S. Maxwell S. Khurana I. Harikrishnan K. N. Okabe J. Al-Hasani K. et al (2021). Epigenetic evidence of an Ac/Dc axis by VPA and SAHA. Clin. Epigenetics13, 58. 10.1186/s13148-021-01050-4
117
Luo H. Wei W. Ye Z. Zheng J. Xu R. (2021). Liquid biopsy of methylation biomarkers in cell-free DNA. Trends Mol. Med.27, 482–500. 10.1016/j.molmed.2020.12.011
118
Luo J. Li Q. Pan J. Li L. Fang L. Zhang Y. (2018). Expression level of long noncoding RNA H19 in plasma of patients with nonsmall cell lung cancer and its clinical significance. J. Cancer Res. Ther.14, 860–863. 10.4103/jcrt.JCRT_733_17
119
Lyko F. (2018). The DNA methyltransferase family: A versatile toolkit for epigenetic regulation. Nat. Rev. Genet.19, 81–92. 10.1038/nrg.2017.80
120
Ma J. Z. Yang F. Zhou C. C. Liu F. Yuan J. H. Wang F. et al (2017). METTL14 suppresses the metastatic potential of hepatocellular carcinoma by modulating N6-methyladenosine-dependent primary MicroRNA processing. Hepatology65, 529–543. 10.1002/hep.28885
121
Madden S. K. de Araujo A. D. Gerhardt M. Fairlie D. P. Mason J. M. (2021). Taking the myc out of cancer: Toward therapeutic strategies to directly inhibit c-myc. Mol. Cancer20, 3. 10.1186/s12943-020-01291-6
122
Manda S. Anz B. Benton C. Broun E. R. Yimer H. Renshaw J. et al (2021). Treatment initiation of venetoclax in combination with azacitidine or decitabine in an outpatient setting in patients with untreated acute myeloid leukemia. Blood138, 1265. 10.1182/blood-2021-144886
123
Martins I. Ribeiro I. P. Jorge J. Gonçalves A. C. Sarmento-Ribeiro A. B. Melo J. B. et al (2021). Liquid biopsies: Applications for cancer diagnosis and monitoring. Genes (Basel)12, 349. 10.3390/genes12030349
124
McClure J. J. Li X. Chou C. J. (2018). Advances and challenges of HDAC inhibitors in cancer therapeutics. Adv. Cancer Res.138, 183–211. 10.1016/bs.acr.2018.02.006
125
Mego M. Kalavska K. Karaba M. Minarik G. Benca J. Sedlackova T. et al (2020a). Plasma nucleosomes in primary breast cancer. Cancers (Basel)12, 2587. 10.3390/cancers12092587
126
Mego M. Kalavska K. Karaba M. Minarik G. Benca J. Sedlackova T. et al (2020b). Prognostic value of circulating nucleosomes in primary breast cancer. J. Clin. Oncol.38, e12553. 10.1200/jco.2020.38.15_suppl.e12553
127
Michela B. (2021). Liquid biopsy: A family of possible diagnostic tools. Diagnostics11, 1391. 10.3390/diagnostics11081391
128
Miranda Furtado C. L. dos Santos Luciano M. C. Silva Santos R. Furtado G. P. Moraes M. O. Pessoa C. (2019). Epidrugs: Targeting epigenetic marks in cancer treatment. Epigenetics14, 1164–1176. 10.1080/15592294.2019.1640546
129
Monk D. Mackay D. J. G. Eggermann T. Maher E. R. Riccio A. (2019). Genomic imprinting disorders: Lessons on how genome, epigenome and environment interact. Nat. Rev. Genet.20, 235–248. 10.1038/s41576-018-0092-0
130
Montalvo-Casimiro M. González-Barrios R. Meraz-Rodriguez M. A. Juárez-González V. T. Arriaga-Canon C. Herrera L. A. (2020). Epidrug repurposing: Discovering new faces of old acquaintances in cancer therapy. Front. Oncol.10, 605386. 10.3389/fonc.2020.605386
131
Moore L. D. Le T. Fan G. (2013). DNA methylation and its basic function. Neuropsychopharmacology38, 23–38. 10.1038/npp.2012.112
132
Morel D. Jeffery D. Aspeslagh S. Almouzni G. Postel-Vinay S. (2020). Combining epigenetic drugs with other therapies for solid tumours — Past lessons and future promise. Nat. Rev. Clin. Oncol.17, 91–107. 10.1038/s41571-019-0267-4
133
Nakano S. Murakami K. Meguro M. Soejima H. Higashimoto K. Urano T. et al (2006). Express ion profile of LIT1/KCNQ1OT1 and epigenetic status at the KvDMR1 in colorectal cancers. Cancer Sci.97, 1147–1154. 10.1111/j.1349-7006.2006.00305.x
134
Nishiyama A. Nakanishi M. (2021). Navigating the DNA methylation landscape of cancer. Trends Genet.37, 1012–1027. 10.1016/j.tig.2021.05.002
135
Nombela P. Miguel-López B. Blanco S. (2021). The role of m6A, m5C and Ψ RNA modifications in cancer: Novel therapeutic opportunities. Mol. Cancer20, 18. 10.1186/s12943-020-01263-w
136
Oing C. Skowron M. A. Bokemeyer C. Nettersheim D. (2019). Epigenetic treatment combinations to effectively target cisplatin-resistant germ cell tumors: Past, present, and future considerations. Andrology7, 487–497. 10.1111/andr.12611
137
Olynik B. M. Rastegar M. (2012). The genetic and epigenetic journey of embryonic stem cells into mature neural cells. Front. Genet.3, 81. 10.3389/fgene.2012.00081
138
Palanca-Ballester C. Rodriguez-Casanova A. Torres S. Calabuig-Fariñas S. Exposito F. Serrano D. et al (2021). Cancer epigenetic biomarkers in liquid biopsy for high incidence malignancies. Cancers (Basel)13, 3016. 10.3390/cancers13123016
139
Pardini B. Sabo A. A. Birolo G. Calin G. A. (2019). Noncoding rnas in extracellular fluids as cancer biomarkers: The new frontier of liquid biopsies. Cancers (Basel)11, 1170. 10.3390/cancers11081170
140
Patil D. P. Chen C. K. Pickering B. F. Chow A. Jackson C. Guttman M. et al (2016). M6 A RNA methylation promotes XIST-mediated transcriptional repression. Nature537, 369–373. 10.1038/nature19342
141
Peng Y. Croce C. M. (2016). The role of microRNAs in human cancer. Signal Transduct. Target Ther.1, 15004. 10.1038/sigtrans.2015.4
142
Poeta L. Drongitis D. Verrillo L. Miano M. G. (2020). Dna hypermethylation and unstable repeat diseases: A paradigm of transcriptional silencing to decipher the basis of pathogenic mechanisms. Genes (Basel)11, 684. 10.3390/genes11060684
143
Qi P. Zhou X. Du X. (2016). Circulating long non-coding RNAs in cancer: Current status and future perspectives. Mol. Cancer15, 39. 10.1186/s12943-016-0524-4
144
Quinn J. J. Chang H. Y. (2016). Unique features of long non-coding RNA biogenesis and function. Nat. Rev. Genet.17, 47–62. 10.1038/nrg.2015.10
145
Ramaiah M. J. Tangutur A. D. Manyam R. R. (2021). Epigenetic modulation and understanding of HDAC inhibitors in cancer therapy. Life Sci.277, 119504. 10.1016/j.lfs.2021.119504
146
Ramanathan A. Robb G. B. Chan S. H. (2016). mRNA capping: Biological functions and applications. Nucleic Acids Res.44, 7511–7526. 10.1093/nar/gkw551
147
Ramsahoye B. H. Biniszkiewicz D. Lyko F. Clark V. Bird A. P. Jaenisch R. (2000). Non-CpG methylation is prevalent in embryonic stem cells and may be mediated by DNA methyltransferase 3a. Proc. Natl. Acad. Sci. U. S. A.97, 5237–5242. 10.1073/pnas.97.10.5237
148
Ratti M. Lampis A. Ghidini M. Salati M. Mirchev M. B. Valeri N. et al (2020). MicroRNAs (miRNAs) and long non-coding RNAs (lncRNAs) as new tools for cancer therapy: First steps from bench to bedside. Target Oncol.15, 261–278. 10.1007/s11523-020-00717-x
149
Richon V. M. Garcia-Vargas J. Hardwick J. S. (2009). Development of vorinostat: Current applications and future perspectives for cancer therapy. Cancer Lett.280, 201–210. 10.1016/j.canlet.2009.01.002
150
Rodriguez-Casanova A. Costa-Fraga N. Bao-Caamano A. López-López R. Muinelo-Romay L. Diaz-Lagares A. (2021). Epigenetic landscape of liquid biopsy in colorectal cancer. Front. Cell Dev. Biol.9, 622459. 10.3389/fcell.2021.622459
151
Rodriguez-Casanova A. Costa-Fraga N. Castro-Carballeira C. González-Conde M. Abuin C. Bao-Caamano A. et al (2022). A genome-wide cell-free DNA methylation analysis identifies an episignature associated with metastatic luminal B breast cancer. Front. Cell Dev. Biol.10, 1016955. 10.3389/fcell.2022.1016955
152
Rodríguez-Paredes M. Esteller M. (2011). Cancer epigenetics reaches mainstream oncology. Nat. Med.17, 330–339. 10.1038/nm.2305
153
Rumbajan J. M. Maeda T. Souzaki R. Mitsui K. Higashimoto K. Nakabayashi K. et al (2013). Comprehensive analyses of imprinted differentially methylated regions reveal epigenetic and genetic characteristics in hepatoblastoma. BMC Cancer13, 608. 10.1186/1471-2407-13-608
154
Saghafinia S. Mina M. Riggi N. Hanahan D. Ciriello G. (2018). Pan-cancer landscape of aberrant DNA methylation across human tumors. Cell Rep.25, 1066–1080. 10.1016/j.celrep.2018.09.082
155
Sallman D. A. DeZern A. E. Garcia-Manero G. Steensma D. P. Roboz G. J. Sekeres M. A. et al (2021). Eprenetapopt (APR-246) and azacitidine in TP53-mutant myelodysplastic syndromes. J. Clin. Oncol.39, 1584–1594. 10.1200/JCO.20.02341
156
Samsonov R. Shtam T. Burdakov V. Glotov A. Tsyrlina E. Berstein L. et al (2016). Lectin-induced agglutination method of urinary exosomes isolation followed by mi-RNA analysis: Application for prostate cancer diagnostic. Prostate76, 68–79. 10.1002/pros.23101
157
San Miguel Amigo L. Franco Osorio R. Mercadal Vilchez S. Martínez-Francés A. Martinez-FrAnces A. (2011). Azacitidine adverse effects in patients with myelodysplastic syndromes. Adv. Ther.28, 6–11. 10.1007/s12325-011-0024-2
158
Schaefer M. Pollex T. Hanna K. Tuorto F. Meusburger M. Helm M. et al (2010). RNA methylation by Dnmt2 protects transfer RNAs against stress-induced cleavage. Genes Dev.24, 1590–1595. 10.1101/gad.586710
159
Schmidt B. Liebenberg V. Dietrich D. Schlegel T. Kneip C. Seegebarth A. et al (2010). SHOX2 DNA Methylation is a Biomarker for the diagnosis of lung cancer based on bronchial aspirates. BMC Cancer10, 600. 10.1186/1471-2407-10-600
160
Schwartz S. Bernstein D. A. Mumbach M. R. Jovanovic M. Herbst R. H. León-Ricardo B. X. et al (2014). Transcriptome-wide mapping reveals widespread dynamic-regulated pseudouridylation of ncRNA and mRNA. Cell159, 148–162. 10.1016/j.cell.2014.08.028
161
Seligson D. B. Horvath S. Shi T. Yu H. Tze S. Grunstein M. et al (2005). Global histone modification patterns predict risk of prostate cancer recurrence. Nature435, 1262–1266. 10.1038/nature03672
162
Shao J. Wang S. West-Szymanski D. Karpus J. Shah S. Ganguly S. et al (2022). Cell-free DNA 5-hydroxymethylcytosine is an emerging marker of acute myeloid leukemia. Sci. Rep.12, 12410. 10.1038/s41598-022-16685-3
163
Shen C. Wang K. Deng X. Chen J. (2022). DNA N6-methyldeoxyadenosine in mammals and human disease. Trends Genet.38, 454–467. 10.1016/j.tig.2021.12.003
164
Šimoničová K. Janotka Ľ. Kavcová H. Sulová Z. Breier A. Messingerova L. (2022). Different mechanisms of drug resistance to hypomethylating agents in the treatment of myelodysplastic syndromes and acute myeloid leukemia. Drug Resist. Updat.61, 100805. 10.1016/j.drup.2022.100805
165
Skinner M. K. (2011). Role of epigenetics in developmental biology and transgenerational inheritance. Birth Defects Res. C Embryo Today93, 51–55. 10.1002/bdrc.20199
166
Slack F. J. Chinnaiyan A. M. (2019). The role of non-coding RNAs in oncology. Cell179, 1033–1055. 10.1016/j.cell.2019.10.017
167
Slamon D. J. Cline M. J. (1984). Expression of cellular oncogenes during embryonic and fetal development of the mouse. Proc. Natl. Acad. Sci. U. S. A.81, 7141–7145. 10.1073/pnas.81.22.7141
168
Song C. X. Yin S. Ma L. Wheeler A. Chen Y. Zhang Y. et al (2017). 5-Hydroxymethylcytosine signatures in cell-free DNA provide information about tumor types and stages. Cell Res.27, 1231–1242. 10.1038/cr.2017.106
169
Souza C. R. T. Leal M. F. Calcagno D. Q. Costa Sozinho E. K. Borges B. N. Montenegro R. C. et al (2013). MYC deregulation in gastric cancer and its clinicopathological implications. PLoS One8, e64420. 10.1371/journal.pone.0064420
170
Spencer D. H. Russler-Germain D. A. Ketkar S. Helton N. M. Lamprecht T. L. Fulton R. S. et al (2017). CpG island hypermethylation mediated by DNMT3A is a consequence of AML progression. Cell168, 801–816. 10.1016/j.cell.2017.01.021
171
Squires J. E. Patel H. R. Nousch M. Sibbritt T. Humphreys D. T. Parker B. J. et al (2012). Widespread occurrence of 5-methylcytosine in human coding and non-coding RNA. Nucleic Acids Res.40, 5023–5033. 10.1093/nar/gks144
172
Steensma D. P. (2009). Decitabine treatment of patients with higher-risk myelodysplastic syndromes. Leuk. Res.33, S12–S17. 10.1016/S0145-2126(09)70228-0
173
Stomper J. Rotondo J. C. Greve G. Lübbert M. (2021). Hypomethylating agents (HMA) for the treatment of acute myeloid leukemia and myelodysplastic syndromes: Mechanisms of resistance and novel HMA-based therapies. Leukemia35, 1873–1889. 10.1038/s41375-021-01218-0
174
Stresemann C. Lyko F. (2008). Modes of action of the DNA methyltransferase inhibitors azacytidine and decitabine. Int. J. Cancer123, 8–13. 10.1002/ijc.23607
175
Su M. Xiao Y. Ma J. Tang Y. Tian B. Zhang Y. et al (2019). Circular RNAs in Cancer: Emerging functions in hallmarks, stemness, resistance and roles as potential biomarkers. Mol. Cancer18, 90. 10.1186/s12943-019-1002-6
176
Sun Y. Hong J. H. Ning Z. Pan D. Fu X. Lu X. et al (2022). Therapeutic potential of tucidinostat, a subtype-selective HDAC inhibitor, in cancer treatment. Front. Pharmacol.13, 932914. 10.3389/fphar.2022.932914
177
Suraweera A. O’Byrne K. J. Richard D. J. (2018). Combination therapy with histone deacetylase inhibitors (HDACi) for the treatment of cancer: Achieving the full therapeutic potential of HDACi. Front. Oncol.8, 92. 10.3389/fonc.2018.00092
178
Suvà M. L. Riggi N. Bernstein B. E. (2013). Epigenetic reprogramming in cancer. Science339, 1567–1570. 10.1126/science.1230184
179
Taniue K. Akimitsu N. (2021). The functions and unique features of lncrnas in cancer development and tumorigenesis. Int. J. Mol. Sci.22, 632. 10.3390/ijms22020632
180
Taniue K. Kurimoto A. Takeda Y. Nagashima T. Okada-Hatakeyama M. Katou Y. et al (2016). ASBEL-TCF3 complex is required for the tumorigenicity of colorectal cancer cells. Proc. Natl. Acad. Sci. U. S. A.113, 12739–12744. 10.1073/pnas.1605938113
181
Topper M. J. Vaz M. Marrone K. A. Brahmer J. R. Baylin S. B. (2020). The emerging role of epigenetic therapeutics in immuno-oncology. Nat. Rev. Clin. Oncol.17, 75–90. 10.1038/s41571-019-0266-5
182
Torrano J. al Emran A. Hammerlindl H. Schaider H. (2019). Emerging roles of H3K9me3, SETDB1 and SETDB2 in therapy-induced cellular reprogramming. Clin. Epigenetics11, 43. 10.1186/s13148-019-0644-y
183
Torsin L. I. Petrescu G. E. D. Sabo A. A. Chen B. Brehar F. M. Dragomir M. P. et al (2021). Editing and chemical modifications on non-coding rnas in cancer: A new tale with clinical significance. Int. J. Mol. Sci.22, 581. 10.3390/ijms22020581
184
Tsai H. C. Wei K. C. Chen P. Y. Huang C. Y. Chen K. T. Lin Y. J. et al (2021). Valproic acid enhanced temozolomide-induced anticancer activity in human glioma through the p53–PUMA apoptosis pathway. Front. Oncol.11, 722754. 10.3389/fonc.2021.722754
185
Tusong H. Maolakuerban N. Guan J. Rexiati M. Wang W. G. Azhati B. et al (2017). Functional analysis of serum microRNAs miR-21 and miR-106a in renal cell carcinoma. Cancer Biomarkers18, 79–85. 10.3233/CBM-160676
186
Tweedie-Cullen R. Y. Brunner A. M. Grossmann J. Mohanna S. Sichau D. Nanni P. et al (2012). Identification of combinatorial patterns of post-translational modifications on individual histones in the mouse brain. PLoS One7, e36980. 10.1371/journal.pone.0036980
187
Van den Ackerveken P. Lobbens A. Turatsinze J. V. Solis-Mezarino V. Völker-Albert M. Imhof A. et al (2021). A novel proteomics approach to epigenetic profiling of circulating nucleosomes. Sci. Rep.11, 7256. 10.1038/s41598-021-86630-3
188
Vandiver A. R. Idrizi A. Rizzardi L. Feinberg A. P. Hansen K. D. (2015). DNA methylation is stable during replication and cell cycle arrest. Sci. Rep.5, 17911. 10.1038/srep17911
189
Veland N. Lu Y. Hardikar S. Gaddis S. Zeng Y. Liu B. et al (2019). DNMT3L facilitates DNA methylation partly by maintaining DNMT3A stability in mouse embryonic stem cells. Nucleic Acids Res.47, 152–167. 10.1093/nar/gky947
190
Velho S. Fernandes M. S. Leite M. Figueiredo C. Seruca R. (2014). Causes and consequences of microsatellite instability in gastric carcinogenesis. World J. Gastroenterol.20, 16433–16442. 10.3748/wjg.v20.i44.16433
191
Villanueva L. Álvarez-Errico D. Esteller M. (2020). The contribution of epigenetics to cancer immunotherapy. Trends Immunol.41, 676–691. 10.1016/j.it.2020.06.002
192
Waddington C. H. (1959). Canalization of development and genetic assimilation of acquired characters. Nature183, 1654–1655. 10.1038/1831654a0
193
Wan T. Wang H. Gou M. Si H. Wang Z. Yan H. et al (2020). LncRNA HEIH promotes cell proliferation, migration and invasion in cholangiocarcinoma by modulating miR-98-5p/HECTD4. Biomed. Pharmacother.125, 109916. 10.1016/j.biopha.2020.109916
194
Wang L. Duan W. Yan S. Xie Y. Wang C. (2019). Circulating long non-coding RNA colon cancer-associated transcript 2 protected by exosome as a potential biomarker for colorectal cancer. Biomed. Pharmacother.113, 108758. 10.1016/j.biopha.2019.108758
195
Wang P. Yan Y. Yu W. Zhang H. (2019). Role of ten-eleven translocation proteins and 5-hydroxymethylcytosine in hepatocellular carcinoma. Cell Prolif.52, e12626. 10.1111/cpr.12626
196
Wang Y. Hu H. Wang Q. Li Z. Zhu Y. Zhang W. et al (2017). The level and clinical significance of 5-hydroxymethylcytosine in oral squamous cell carcinoma: An immunohistochemical study in 95 patients. Pathol. Res. Pract.213, 969–974. 10.1016/j.prp.2017.04.016
197
Wang Y. Tong C. Dai H. Wu Z. Han X. Guo Y. et al (2021). Low-dose decitabine priming endows CAR T cells with enhanced and persistent antitumour potential via epigenetic reprogramming. Nat. Commun.12, 409. 10.1038/s41467-020-20696-x
198
Weber D. G. Johnen G. Casjens S. Bryk O. Pesch B. Jöckel K. H. et al (2013). Evaluation of long noncoding RNA MALAT1 as a candidate blood-based biomarker for the diagnosis of non-small cell lung cancer. BMC Res. Notes6, 518. 10.1186/1756-0500-6-518
199
Wu Q. Schapira M. Arrowsmith C. H. Barsyte-Lovejoy D. (2021). Protein arginine methylation: From enigmatic functions to therapeutic targeting. Nat. Rev. Drug Discov.20, 509–530. 10.1038/s41573-021-00159-8
200
Wu X. Zhang Y. Hu T. He X. Zou Y. Deng Q. et al (2021). A novel cell-free DNA methylation-based model improves the early detection of colorectal cancer. Mol. Oncol.15, 2702–2714. 10.1002/1878-0261.12942
201
Xiao C. Zhu S. He M. Chen D. Zhang Q. Chen Y. et al (2018). N 6 -methyladenine DNA modification in the human genome. Mol. Cell71, 306–318. 10.1016/j.molcel.2018.06.015
202
Xiao L. Wang J. Ju S. Cui M. Jing R. (2022). Disorders and roles of tsRNA, snoRNA, snRNA and piRNA in cancer. J. Med. Genet.59, 623–631. 10.1136/jmedgenet-2021-108327
203
Xiao W. Zhou Q. Wen X. Wang R. Liu R. Wang T. et al (2021). Small-molecule inhibitors overcome epigenetic reprogramming for cancer therapy. Front. Pharmacol.12, 702360. 10.3389/fphar.2021.702360
204
Xu H. Zhang Y. Qi L. Ding L. Jiang H. Yu H. (2018). NFIX circular RNA promotes glioma progression by regulating miR-34a-5p via notch signaling pathway. Front. Mol. Neurosci.11, 225. 10.3389/fnmol.2018.00225
205
Xu L. Zhou Y. Chen L. Bissessur A. S. Chen J. Mao M. et al (2021). Deoxyribonucleic acid 5-hydroxymethylation in cell-free deoxyribonucleic acid, a novel cancer biomarker in the era of precision medicine. Front. Cell Dev. Biol.9, 744990. 10.3389/fcell.2021.744990
206
Xu N. Tse B. Yang L. Tang T. C. Y. Haber M. Micklethwaite K. et al (2021). Priming leukemia with 5-Azacytidine enhances CAR T cell therapy. Immunotargets Ther.10, 123–140. 10.2147/ITT.S296161
207
Xu Y. Li P. Liu Y. Xin D. Lei W. Liang A. et al (2022). Epi-immunotherapy for cancers: Rationales of epi-drugs in combination with immunotherapy and advances in clinical trials. Cancer Commun.42, 493–516. 10.1002/cac2.12313
208
Yao R. W. Wang Y. Chen L. L. (2019). Cellular functions of long noncoding RNAs. Nat. Cell Biol.21, 542–551. 10.1038/s41556-019-0311-8
209
Yin T. Zhao D. Yao S. (2021). Identification of a genome instability-associated LncRNA signature for prognosis prediction in colon cancer. Front. Genet.12, 679150. 10.3389/fgene.2021.679150
210
Yin Z. Cui Z. Li H. Li J. Zhou B. (2018). Polymorphisms in the H19 gene and the risk of lung Cancer among female never smokers in Shenyang, China. BMC Cancer18, 893. 10.1186/s12885-018-4795-6
211
Yu G. Wu Y. Wang W. Xu J. Lv X. Cao X. et al (2019). Low-dose decitabine enhances the effect of PD-1 blockade in colorectal cancer with microsatellite stability by re-modulating the tumor microenvironment. Cell Mol. Immunol.16, 401–409. 10.1038/s41423-018-0026-y
212
Zafon C. Gil J. Pérez-González B. Jordà M. (2019). DNA methylation in thyroid cancer. Endocr. Relat. Cancer26, R415–R439. 10.1530/ERC-19-0093
213
Zahavi D. Weiner L. (2020). Monoclonal antibodies in cancer therapy. Antibodies9, 34–20. 10.3390/antib9030034
214
Zhai Q. Zhou L. Zhao C. Wan J. Yu Z. Guo X. et al (2012). Identification of miR-508-3p and miR-509-3p that are associated with cell invasion and migration and involved in the apoptosis of renal cell carcinoma. Biochem. Biophys. Res. Commun.419, 621–626. 10.1016/j.bbrc.2012.02.060
215
Zhang H. Hamblin M. H. Yin K. J. (2017b). The long noncoding RNA Malat1: Its physiological and pathophysiological functions. RNA Biol.14, 1705–1714. 10.1080/15476286.2017.1358347
216
Zhang H. Wang G. Ding C. Liu P. Wang R. Ding W. et al (2017a). Increased circular RNA UBAP2 acts as a sponge of miR-143 to promote osteosarcoma progression. Oncotarget8, 61687–61697. 10.18632/oncotarget.18671
217
Zhang L. Lu Q. Chang C. (2020). Epigenetics in health and disease. Adv. Exp. Med. Biol.1253, 3–55. 10.1007/978-981-15-3449-2_1
218
Zhang L. Xiong D. Liu Q. Luo Y. Tian Y. Xiao X. et al (2021a). Genome-wide histone H3K27 acetylation profiling identified genes correlated with prognosis in papillary thyroid carcinoma. Front. Cell Dev. Biol.9, 682561. 10.3389/fcell.2021.682561
219
Zhang L. Zhang J. Diao L. Han L. (2021b). Small non-coding RNAs in human cancer: Function, clinical utility, and characterization. Oncogene40, 1570–1577. 10.1038/s41388-020-01630-3
220
Zhang L. Zhao D. Yin Y. Yang T. You Z. Li D. et al (2021c). Circulating cell-free DNA-based methylation patterns for breast cancer diagnosis. NPJ Breast Cancer7, 106. 10.1038/s41523-021-00316-7
221
Zhao A. Li G. Péoc’h M. Genin C. Gigante M. (2013). Serum miR-210 as a novel biomarker for molecular diagnosis of clear cell renal cell carcinoma. Exp. Mol. Pathol.94, 115–120. 10.1016/j.yexmp.2012.10.005
222
Zhao G. Wang Q. Li S. Wang X. (2021). Resistance to hypomethylating agents in myelodysplastic syndrome and acute myeloid leukemia from clinical data and molecular mechanism. Front. Oncol.11, 706030. 10.3389/fonc.2021.706030
223
Zhao Z. Shilatifard A. (2019). Epigenetic modifications of histones in cancer. Genome Biol.20, 245. 10.1186/s13059-019-1870-5
224
Zheng Z. Q. Li Z. X. Zhou G. Q. Lin L. Zhang L. L. Lv J. W. et al (2019). Long noncoding RNA FAM225A promotes nasopharyngeal carcinoma tumorigenesis and metastasis by acting as ceRNA to sponge miR-590-3p/miR-1275 and upregulate ITGB3. Cancer Res.79, 4612–4626. 10.1158/0008-5472.CAN-19-0799
225
Zimta A. A. Tomuleasa C. Sahnoune I. Calin G. A. Berindan-Neagoe I. (2019). Long non-coding RNAs in myeloid malignancies. Front. Oncol.9, 1048. 10.3389/fonc.2019.01048
Summary
Keywords
epigenetic reprograming, cancer, DNA methylation, histone modifications, non-coding RNAs, epidrugs
Citation
Costa PMdS, Sales SLA, Pinheiro DP, Pontes LQ, Maranhão SS, Pessoa CdÓ, Furtado GP and Furtado CLM (2023) Epigenetic reprogramming in cancer: From diagnosis to treatment. Front. Cell Dev. Biol. 11:1116805. doi: 10.3389/fcell.2023.1116805
Received
05 December 2022
Accepted
01 February 2023
Published
14 February 2023
Volume
11 - 2023
Edited by
Ângela Sousa, University of Beira Interior, Portugal
Reviewed by
Xiaolong Cui, The University of Chicago, United States
Hao Chen, Southern University of Science and Technology, China
Updates
Copyright
© 2023 Costa, Sales, Pinheiro, Pontes, Maranhão, Pessoa, Furtado and Furtado.
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: Cristiana Libardi Miranda Furtado, clibardim@gmail.com
†These authors have contributed equally to this work and share first authorship
This article was submitted to Epigenomics and Epigenetics, a section of the journal Frontiers in Cell and Developmental Biology
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