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Review

Epigenetic Aberrations in Multiple Myeloma

CREA Laboratory, Clinical Research Development and Phase I Unit, ASST Spedali Civili di Brescia, 25123 Brescia, BS, Italy
*
Author to whom correspondence should be addressed.
Co-first Authors: C.C. and A.S. equally contributed.
Cancers 2020, 12(10), 2996; https://doi.org/10.3390/cancers12102996
Submission received: 7 August 2020 / Revised: 12 October 2020 / Accepted: 12 October 2020 / Published: 15 October 2020
(This article belongs to the Special Issue Recent Advances on the Pathobiology and Treatment of Multiple Myeloma)

Abstract

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Simple Summary

Multiple Myeloma (MM) is a blood cancer characterized by an uncontrolled growth of cells named plasma cells, within the bone marrow. Patients with MM may present with anemia, bone lesions and kidney impairment. Several studies have been performed in order to provide an explanation to how this tumor may develop. Among them, the so called “epigenetic modifications” certainly represent important players that have been shown to support MM development and disease progression. The present article aims to summarize the current knowledge in the specific are of “epigenetics” in MM.

Abstract

Multiple myeloma (MM) is a plasma cell dyscrasia characterized by proliferation of clonal plasma cells within the bone marrow. Several advances in defining key processes responsible for MM pathogenesis and disease progression have been made; and dysregulation of epigenetics, including DNA methylation and histone modification, has emerged as a crucial regulator of MM pathogenesis. In the present review article, we will focus on the role of epigenetic modifications within the specific context of MM.

1. Introduction

Multiple myeloma (MM) is an incurable and biologically heterogeneous plasma cell dyscrasia which accounts for about 10% of all hematologic cancers [1]. It is characterized by an uncontrolled proliferation of plasma cells (PCs) within the bone marrow (BM), leading to extensive production of non-functional monoclonal immunoglobulin protein. The malignant plasma cells primarily colonize the BM, and patients with active MM present with a variety of clinical features that may include anemia, renal insufficiency, bone lesions, and hypercalcemia [2]. MM is consistently preceded by a pre-malignant condition named monoclonal gammopathy of undetermined significance (MGUS), occurring in about 3–5% of the population above 50 year of age [3]. Approximately 1% of patients/year may progress from MGUS to active MM [4]. MM cell may present with different genetic alterations [5,6]. Both chromosomal translocations and aneuploidy represent primary events associated with MM pathogenesis. The most frequently observed translocations involve the immunoglobulin heavy chain (IgH) locus: IgH gene is juxtaposed to oncogenes, thus resulting in their upregulation. t(11;14), found in about 20% of all patients with MM, leads to enhanced expression of CCND1, thus favoring MM cell cycle progression and cell proliferation [7]. Other frequently observed translocations include t(6;14) (~21%); t(4;14) (~14%); t(14;16) (<5%); which will result in up-regulation of cyclin D3, FGFR3 and NSD2/WHSC1, c-maf, respectively [8]. Importantly, somatic mutations have been recently described in MM, with KRAS (~25%), NRAS (~20%), FAM46C (~11%), DIS3 (~11%), and TP53 (~8%) representing the most frequently mutated genes [9,10].
Of note, epigenetic aberrations may also support MM pathogenesis. The term “Epigenetics” was defined in 1942, by Sir Waddington as “the branch of biology which studies the causal interactions between genes and their products which bring the phenotype into being” [11]. It refers to those mechanisms that controls gene expression via chromatin remodeling phenomenon that, in turn, can be stably inherited in the absence of DNA sequence changes [12]. The chromatin is organized in functional units composed of DNA and highly basic proteins found in eukaryotic cell nuclei, and its functional unit is represented by the nucleosomes, wrapped around a histone octamer.
The histone core octamer is composed of 4 sets of dimers, interacting with each other via the “histone fold”. Histone H3 and H4 interact through one fold, thus forming a heterodimer; similarly, H2A and H2B dimerize, as the result of their interaction through another histone fold [13]. Of note, nucleosomes do not only represent a tool necessary for DNA packaging, but they also are dynamic structures that mirror the gene-expression pattern of a given cell [14]. Nucleosome stability and dynamics may be modulated by chemical changes of the histones, thus affecting the energy landscape of histone–DNA interactions, leading to increase of the DNA accessibility. These chemical modification may appear as post-translational changes that can be added or enzymatically removed: the major and most studied modifications include methylation, acetylation, ubiquitylation, phosphorylation, and ADP-ribosylation [15,16]. Overall, hyperacetylated chromatin regions are transcriptionally active, in contrast with hypoacetylated that are transcriptionally inactive [13].
In the present review article, we will focus on the role of epigenetic modifications in supporting MM biology.

2. Epigenetics in Multiple Myeloma: DNA Methylation, Histone Acetylation, Epi-microRNAs

The process of lymphopoiesis is regulated by the expression of lineage specific gene sets. Indeed, progenitor cells present with several mechanisms of control of gene expression, resulting in precise and specific transcriptional patterns in a dynamic manner. This is controlled by the epigenetic machinery. Within the context of MM, main common epigenetic mechanisms have been described to play a role in MM pathogenesis, including DNA-methylation and histone acetylation. In addition, more recently, the literature has referred to “epi-microRNAs”, as those microRNAs that may target epigenetic regulators, including DNA methyltransferases and histone deacetylases [17,18].

2.1. DNA Methylation

The best-known epigenetic marker is DNA methylation. It plays a critical role in controlling nuclear architecture and gene expression. DNA methylation occurs within specific areas, named as CpG islands, enriched in dinucleotide CpGs and located at the 5′-end of the regulatory region of several genes. DNA methyltransferases DNMT3A and DNMT3B establish new DNA methylation patterns, while DNMT1A is responsible for maintaining methylation patterns upon replication.
Global DNA hypomethylation has been initially described in human cancer; other studies have then identified hypermethylated tumor-suppressor genes [19,20,21], followed by the description of miRNA inactivation by DNA methylation [22,23]. The literature has defined how CpG-island promoter hypermethylation may target genes that are involved in cancer pathogenesis, acting as crucial regulator of cell cycle progression, cell proliferation and survival, cell-to-cell interaction, programmed cell death [24,25]. Of note, DNA methylation could be influenced by histone structure modifications that are commonly disrupted in cancer cells [13,26,27,28].
Recent studies have reported on DNA methylation aberrations within the context of MM, showing several DNA methylation patterns with identification of hypermethylated loci in aggressive subtypes, compared to healthy donor [29]. Kaiser et al. reported on epigenetically-inhibited tumor suppressor genes, demonstrating their prognostic significance in MM [30]. For instance, GPX3, RSBP1, SPARC, and TGFBI were shown to be epigenetically inactivated in MM samples, and their methylation status has been associated with overall survival, demonstrating their prognostic relevance. Importantly, their inactivation was significantly higher as MM progressed to plasma cell leukemia [30].
DNA methyltransferase inhibitors (DNMTi) are currently used to revert aberrant DNA methylation patterns. Both cytidine analogs 5-azacytidine (azacytidine) and 5-aza-2′deoxycytidine (decitabine) have shown to exert an anti-myeloma activity, supported by enhanced DNA damage, cell cycle arrest, and induction of MM cell apoptosis [31,32]. Currently, clinical trials evaluating the safety of DNMTi in combination with lenalidomide or dexamethasone are ongoing within the MM setting [33] .
The mechanisms responsible for altered MM cell DNA methylation are not fully described. A higher expression of the DNA methyltransferase, DNMT1, has been reported in clonal MM cells as compared to their normal cellular counterpart. Several studies have investigated whether aberrations in DNA methylation could be described as disease stage-specific, thus changing during disease progression [34]. Indeed, methylation aberrations may occur as early events in myelomagenesis, being described in MGUS patients, involving mainly CpG islands [35]. CpG islands appear to play a critical role in recruiting Polycomb repressive complex 2-PRC2 to gene promoters [36]. Enhancer of Zeste homolog 2-EZH2 encodes part of PRC2 complex catalytic component; it regulates genome-wide chromatin structure and transcriptome profiling via histone H3-lysine-27 methylation, thus resulting in chromatin condensation and repression of transcription [37]. EZH2-overexpression is responsible for the suppression of cell cycle control genes and is associated to poor prognosis in several tumors, including prostate, colorectal, and breast cancer [38,39]. EZH2-overexpression has been recently described within the context of MM, demonstrating its negative prognostic value: specifically, authors have reported on increased EZH2 during disease progression, going from MGUS, to smoldering myeloma, to MM [40]. It is important to consider also the occurrence of mutations of epigenetic enzyme-related genes. Up to 53% of MM patients may present with mutated histone acetylation-, methylation-, DNA methylation-, and chromatin remodeling-related genes (Table 1). These mutations were also shown to be of prognostic relevance, as they correlated with overall survival in MM patients [40].
The chromatin reader PHF19 modulates transcriptional chromatin activity [41], with a peculiar role within the context of B-cell-to-plasma cell differentiation [42,43]. PHF19 acts recruiting the PRC2, binding to H3K36me3, leading to EZH2 activation [44,45]. This process ultimately enhances gene repression promoting tumor cell growth, as demonstrated in several tumor types [46]. Therefore, PHF19 role in modulating MM biology has been a matter of investigation. Expression of PHF19 was reported as significantly associated with MM disease progression, showing a predictive value greater than NSD2 [47], an oncogene frequently over-expressed in MM plasma cells harboring the high-risk t(4;14) translocation; and reported to modulate by the oncogene NSD2 [48]. These findings prompted research groups to dissect the potential functional relevance of NSD2-inhibition in MM.
The multiple myeloma SET domain (MMSET), also known as NSD2 or WHSC1, was identified for the first time as a potential candidate gene for the Wolf–Hirschhorn syndrome (WHS) [49]. It acts as a histone-modifying enzyme, and its abnormal expression in MM is driven by the t(4;14).
NSD2 interacts with both histone-H3 and -H4, thus leading to H3K36-dimethylation and H4K20-trimethylation; of note, it also favors the function of histone deacetylase-1, -2, and histone demethylase LSD1 [50,51,52]. Within the specific context of MM, the accumulation of H3K36me2 levels, causes transcriptional activation of oncogenes, thus leading to MM cell growth and disease progression [51,52].
Moreover, miRNA-126* has been identified [53] as an NSD2-regulated miRNA, as shown in MM cells harboring t(4;14). Of note, c-MYC is one of the miRNA-126*-predicted targets.
Studies have demonstrated how NSD2 binds to miRNA-126*-promoter, with the nuclear corepressor KAP-1 and HDACs; induces H3K9-trimethylation; reduces histone-H3 acetylation; thus, ultimately resulting in miRNA-126* silencing. Moreover, considering c-MYC as one of the miRNA-126*-predicted targets, the NSD2-dependent inhibition of miRNA-126* could result in increased c-MYC expression, thus contributing to MM pathogenesis [53].
Authors have demonstrated the anti-MM activity exerted upon NSD2-silencing using t(4;14)+ KMS11 cells, with a doxycycline-inducible NSD2-specific shRNA: in vivo studies confirmed reduction of tumor growth and enhanced survival in the setting of NSD2-silenced MM cells [54].
To further define the oncogenic relevance of PHF19 in supporting MM biology, functional studies have been carried out and PHF19-silencing approaches have demonstrated inhibition of MM cell cycle progression, reduction of MM cell proliferation and survival [47], thus recapitulating the importance for PHF19 in supporting MM pathogenesis and disease progression. Overall, targeting the PHF19-PRC2-EZH2 complex could represent a novel therapeutic strategy for MM treatment. Indeed, EPZ-643 and GSK-126, known as EZH2 inhibitors, were shown to sensitize MM cells to HDAC inhibitor panobinostat, favoring MM cell apoptosis and reducing MM cell survival [55]. Similarly, recent studies have demonstrated how PRC2 inhibitors were able to inhibit MM tumorigenicity [54,55]. It can be also hypothesized that PHF19-targeting could represent a novel therapeutic approach, considering its link to PRC2 and EZH2, and given the anti-MM activity exerted by single and specific PRC2- or EZH2-targeting.
The expression levels of other histone methyltransferases (HMTs), such as members of the KMT1 and KMT2 families of lysine methyltransferases, have been reported to be altered in MM. For instance, the histone-lysine N-methyltransferase KMT1 member, SUV39H1, has been associated with tumor suppressor silencing in acute myeloid leukemia [56]. Similarly, its role in supporting MM pathogenesis has been also reported. SUV39H1 is differentially expressed between healthy donor- and MM-derived plasma cells; and high-SUV39H1 levels have been associated with adverse prognosis in MM patients. Importantly, the selective inhibition of SUV39H1, achieved using either small molecule or conditional shRNA-based approaches, is responsible for reduced MM cell proliferation, cell cycle arrest, enhanced DNA damage, and induction of the apoptotic phenotype in MM cells [57].
KMT2 methyltransferases act as a complex including histone acetyltransferase CBP/p300, members of the SWI/SNF chromatin-remodeling complex, and the demethylase KDM6A, to ultimately function as transcription activators [58]. Recent studies have reported on the occurrence of mutations within the KMT2 complex components, even though a clear functional role remains to be elucidated.
KDM6A and KDM6B, also known as UTX and JNJD3, respectively, guide demethylation of the repressive mark H3K27me2/3: they have been reported to be mutated in around 10% of MM cases [59,60], and the presence of the mutations correlates with adverse prognosis [60,61].
Among HMTs, protein arginine N-methyltransferases (PRMTs) catalyze the addition of methyl groups to arginine residues of histone tails.
PRMT4 and PRMT5, for instance, could play a role in supporting MM pathogenesis. PRMT4 (also known as CARM1) is overexpressed in several solid tumors, including breast, prostate cancer, and hepatocellular carcinoma [62,63,64]. PRMT4 catalyzes the addition of methyl groups to arginine 17 and 26 of histone H3, as well as to non-histone proteins. Overall, this would lead to transcriptional activation [65], cell cycle progression [66], DNA damage response [67], and cell differentiation [68]. The oncogenic role of PRMT4 has been described MM, and PRMT4-silecing using selective inhibitors, such as EZM2302 [69] or TP064 [70], was proven to exert anti-tumor activity in preclinical models of MM.
PRMT5 has been described to be up-regulated in MM patients, as compared to healthy individuals and, importantly, high levels of PRMT5 are associated with reduced progression free survival and overall survival [71]. Studies have properly shown the oncogenic role of PRMT5 within the specific context of MM. Of note, EPZ015666-dependent inhibition of PRMT5 exerted anti-MM activity, as documented both in vitro and in vivo [71].

2.2. Histone Acetylation

Histones may undergo post-translational modifications (PTMs), such as acetylation [72]. Acetylation of histones represents one of the most well-described PTMs, resulting the major player in remodeling chromatin structure and in modulating gene transcription [73]. Under physiological conditions, there is a well kept balance between histone acetyltransferases (HATs) and histone deacetylases (HDACs). HATs are enzymes that catalyze the addition of acetyl-groups to a specific lysine residue located within the histone N-terminal tail, with the aim to: neutralize lysine’s positive charge; favor an open chromatin structure; increase the accessibility of transcription factors to promoters; and, ultimately, to favor gene expression. Acetylated histones also function as binding sites for proteins with bromodomain which often positively regulate gene expression [74]. In contrast, HDACs are enzymes that act, catalyzing the removal of acetyl groups, resulting in transcriptional repression [75].
HATs comprise two classes of enzymes: type A and type B. Type A- and type B-HATs are localized within the nucleus or the cytoplasm, respectively. Type A-HATs are responsible for histone acetylation. Type B-HATs mainly acetylate newly translated histones, thus facilitating their assembly into nucleosomes [76]. Besides their main role in mediating histone acetylation, both types may be involved in transferring acetyl groups to other proteins, including many several oncogenes and tumor suppressors, such as MYC, P53, and PTEN, thus altering their protein functions [77]. Both solid tumor and hematologic malignancies, including MM, may present with coding mutations involving HATs [78].
CREB-binding protein (CBP)/p300, a type A-HAT, is essential in physiological events, such as cell proliferation, differentiation, and programmed cell death; it may also play a role during tumor transformation [79]. For instance, mutations in HAT CREBBP and gene copy loss of CREBBP and EP300 have been identified in MM patients [80] (Table 1).
Table 1. Mutation of genes encoding for epigenetic regulators.
Table 1. Mutation of genes encoding for epigenetic regulators.
CATEGORYGENE NAMEEPIGENETIC ACTIVITYMUTATED CASES (%)MUTATION TYPEREF.
DNA methylationDNMT3ADNA methylation5LOF[59]
Histone methylationKMT2AHistone H3K4 methylase1.7LOF[61]
KMT2BHistone H3K4 methylase1.3LOF[61]
KMT2CHistone H3K4 methylase1.5LOF[61]
SETD2Histone H3K36 methylase1.3LOF[59]
NSD2Histone H3K36, K27 demethylase0.4LOF[61]
NSD3Histone H3K36 demethylase0.9LOF[61]
KDM6AHistone H3K27 demethylase1.3LOF[60,61]
Histone acetylationP300Histone H3K27 acetylase1.3LOF[79,80]
CREBBPHistone H3K27 acetylase0.7LOF[79,80]
LOF: loss of function.
Given the oncogenic role of the CBP/p300 HAT, several attempts have been made to develop novel therapeutic intervention; and the small molecule CCS1477 has been designed to selectively target and inhibit CBP/p300. Its anti-MM effect has been demonstrated both in vitro and in vivo, used either as a single agent or in combination with lenalidomide [81]. CCS1477 is currently approved for Phase I/II clinical trial for the treatment of MM.
Enhancer rewiring is a fundamental epigenetic mechanism in carcinogenesis and acetylation of H3K27 is critical in regulation of enhancers. For this reason, targeting enzyme binding acetylated histones has often been highlighted as a therapeutic strategy in MM. The bromodomain and extra-terminal domain (BET) superfamily consist of four proteins (BRDT, BRD2, BRD3, and BRD4), each containing two bromodomains, capable of recognizing acetylated lysine residues. BRD-proteins promotes the recruitment of transcriptional activators, thus enhancing transcriptional activation [82]. Abnormal transcription activation resulting from aberrant expression of transcription factor represents a crucial step for MM pathogenesis: for instance, MYC upregulation is seen in up to 50% of MM patients [83]. Importantly, selective BRD4-inbhition, via JQ1, has been proven to exert an anti-tumor effect in MM, as demonstrated in preclinical model both in vitro and in vivo [84]. The JQ1-dependent anti-MM activity was supported by induction of MM cell cycle arrest and cellular senescence [84]. The other class of enzymes that balance the activity of HATs are HDACs. Four HDAC classes have been identified (I, IIa, IIb, and IV), for a total of 11 canonical subtypes. Specific biological functions of each HDAC isoform result from a differential HDAC localization within the cell; tissue-specificity; enzymatic activity; and substrate specificities. Several biological processes are regulated by HDACs, including for instance, modulation of senescence, cell differentiation, cell survival, programmed cell death, angiogenesis [85] HDACs may present with aberrant expression and function, leading to enhanced cell proliferation and survival, as demonstrated within the context of tumor transformation [86,87,88,89,90]. Within the field of blood cancers, increased HDAC expression was reported in lymphoproliferative disorders (diffuse large B-cell lymphomas; T-cell lymphomas; cutaneous T-cell lymphomas; acute lymphoblastic leukemia) and myeloproliferative neoplasms [91,92,93,94,95]. Of note, the aberrant expression and function of HDACs has also been described in MM where Class I HDAC over-expression (i.e., HDAC1), was shown to be of prognostic relevance and associated to poor prognosis [93]. Overall, these studies provided the rational for considering HDACs as potential new targets for therapy. Indeed, several efforts were made to design and develop HDAC-inhibitors, in terms of both HDAC-specific blockade and pan-HDAC-inhibitors [96].
Histone deacetylase inhibitors (HDAC-Is), including for instance, Vorinostat and Panobinostat represent HDAC inhibitors that would therefore elicit a potential anti-tumor effect acting as epigenetic-targeting agents; and their activity has been also evaluated within the context of MM [97]. Extensive research has unveiled the ability of HDAC6-inhibition to halt protein degradation, leading to significant accumulation of polyubiquitinated proteins by targeting the aggresomal protein degradation machinery; thus ultimately favoring MM cell apoptosis. Of note, studies have also shown a synergistic activity between HDAC6- and proteasome-inhibition [98].
Vorinostat acts as a reversible inhibitor of class I and II HDACs [99]; and its anti-MM effects were demonstrated in MM models, resulting from Vorinostat-dependent inhibition of MM cell proliferation, enhanced MM cell apoptosis, reduced expression of pro-survival factors [100].
Panobinostat is a cinnamic hydroxamic acid analog that has proven to act with 10-fold higher inhibitory activity against Class I, II, and IV HDACs as compared to Vorinostat: it has shown anti-MM activity, either used as a single agent or in combination with proteasome inhibitors [101].
HDAC deregulation may be responsible for drug resistance, and indeed, studies have reported on HDAC1 over-expression as a possible player in mediating MM cell resistance to bortezomib-dependent proteasome inhibition [93].
Romidepsin acts as primarily class I HDAC inhibitory, and its anti-tumor activity has been described within the field of MM, showing synergism when used in combination with bortezomib [102,103]. More recently, authors have described the anti-MM activity exerted by ACY-241 (HDAC6 selective inhibitor), when used in combination with both immunomodulatory drugs (IMiDS) and proteasome inhibitors (PIs). In addition, importantly, ACY-241-dependent HDAC6 inhibition was supported by enhanced immune response in MM, resulting in a more efficacious host anti-tumor immunity when used in combination with PIs and IMiDS [104].

2.3. Epi-microRNAs and lncRNAs

Thousands of genes that lead to non-coding RNA (ncRNA) transcripts have been described in the past years in tumor cells, thus suggesting the presence of high complexity within the genome of cancer cells. Based on their length, they have been classified as short non-coding RNAs (<200 nucleotides, sncRNAs) or long non-coding RNAs (>200 nucleotides, lncRNAs) [105]. miRNAs are small non-coding RNAs (∼22 nt) that play crucial role under physiological and pathological conditions: they target mRNAs of protein-coding genes, thus negatively regulating their expression [106]. The biogenesis of miRNA involves a complex protein system. The RNA polymerase II (RNA pol II) transcribes the miRNA sequence present within the DNA, resulting in precursor miRNAs, named primary miRNAs (pri-miRNAs). At the nuclear level, the complex of Drosha (RNase III) and Pasha (DGCR8) convert pri-miRNAs into pre-miRNAs. Pre-miRNAs are subsequently exported from the nucleus to the cytoplasm, by exportin-5; and Dicer (RNA III Family member) acts to cleave the hairpin in dsRNA (including the mature miRNA guide, and the complementary passenger strand). The mature miRNA strand of the duplex is then assembled to form the ribonucleoprotein complex (RISC). The remaining strand typically undergoes degradation. The mature miRNA-containing RISC is able to target the related mRNAs by suppressing their translation [107,108,109].
The field of B-cell lymphoproliferative disorders has been the first area to be investigated in terms of miRNAs in cancer. Dr. Croce and colleagues were the first to identify tumor suppressors miRNAs, located at 13q14, where a significant lower expression of miRNA-15a and -16-1 was demonstrated in patients with chronic lymphocytic leukemia, as compared to their normal cellular counterpart [110]. Similar findings were also described within the field of MM, where lower expression of miR-15a and -16-1 was demonstrate in MM patients’ derived plasma cells [111,112]. These studies, reported, for the first time on the tumor-suppressor role of miR-15a and -16-1, in MM, demonstrating how miR-15a and -16-1 gain of function approached were able to inhibit MM tumor growth both in vitro and in vivo, using xenograft disseminated MM models [111,112].
Epigenetic modifications may be responsible for impaired miRNA expression. For instance, both DNA methylation and histone modifications have reported to modulate miRNA levels [113].
Overall, the functional relevance of miRNAs in supporting the biology of cancers is due to the presence of miRNAs within genome regions that encode for either oncogenes (OGs) or tumor suppressor genes (TSGs). In the first case tumor cells will present with reduced expression of the given miRNAs, thus leading to lack of miRNA-mediated OG silencing; while, in the second case, tumor cells will presenting with over-expression of a certain miRNAs, that will ultimately result in enhanced inhibition of the target TSG [114]. It is important to take into consideration how epigenetics, such as DNA methylation, may modulate miRNA expression [115]. Specifically, authors have demonstrated the presence of DNA methylated peaks within intragenic and intronic regions, in MM; and found hypermethylation-mediated inhibition of tumor suppressor-miRNA-10b-5p, and -miRNA-152, thus leading to overexpression of their target genes (oncogenes DNMT1, BTRC, MYCBP, and E2F3) in CD138+ bone marrow derived MM cells [29].
Epigenetic regulation of the tumor suppressor miRNA-23b has been reported in MM, resulting from the occurrence of methylation of its promoter region [116]. Specifically, the authors have reported on the miRNA-23b/Sp1/Myc feed-forward loop as a crucial regulator of MM cell growth; and proven how promoter methylation may represent one of the mechanisms supporting the suppression of miRNA-23b. Functional studies were also carried out, demonstrating how miRNA-23b-gain of function led to inhibition of MM cell proliferation and survival, supported by induction of caspase-dependent apoptosis [116]. miRNA-23b targets Sp1 3′UTR, thus resulting in inhibited Sp1-driven NF-kB activation. Moreover, the authors provide novel insights into the ability of the oncogenic transcription factor c-Myc to repress miRNA-23b. Therefore, c-Myc-induced miRNA-23b silencing may favor the oncogenic Sp1-activity, thus enhancing MM cell growth and survival.
Recent studies have focused on the role of miRNAs in regulating the epigenetic machinery. For instance, miRNA-29b has been shown to target DNMT-3A and -3B mRNAs, thus leading to global hypomethylation in MM cells [17]. miRNA-29b mimic-transfected MM cells presented with inhibition of cell cycle progression and reduction of MM cell growth. Importantly, in vivo studies have confirmed how systemic delivery of synthetic miR-29b mimics exerts significant anti-MM activity [17]. Importantly, miRNA-29b has been shown to target HDAC4 in MM cells, thus further confirming the role of miRNA-29b as an “epi-miRNA” in MM [18]. miRNA-29b-dependent inhibition of HDAC4 resulted in reduced MM tumor growth as demonstrated both in vitro and in vivo [18].
The role of lncRNAs in supporting MM pathogenesis has been recently reported. Among lncRNAs that could be involved in epigenetic regulation of MM disease, MALAT1, RP11-553 L6.5, ZFY-AS1, RP4-803, RP1-43E13.2, and BM742401 have been described. [18,117,118,119].
Higher expression levels of MALAT1 were associated with MM disease progression [120]. Of note, MALAT1-silencing strategies led to inhibition of MM tumor growth, thus providing the preclinical rational for considering MALAT-1 a novel therapeutic target in MM [117]. MALAT1 is able to induce up-regulation of epi-miRNAs, such as miRNA-29b [18], with an inverse correlation with EZH2 enhancer [118]. EZH2-inhibition results in enhanced expression of the epi-miRNA miRNA-29b, as a consequence of H3K27me3 in promotor regions of miR-29b [118].
RP11-553 L6.5, ZFY-AS1, RP4-803, and RP1-43E13.2 were also described as modulators of MM disease progression, as a result of their correlation with epigenetic changes connected to MM [119].
Another lncRNA that has been described as epigenetically silenced by DNA promoter methylation in MM is BM742401 [121]. Higher level of BM742401 methylation characterized MM cells, as compared to normal plasma cells, leading to reduced expression of BM742401. The tumor suppressor role of BM742401 was also demonstrated by performing BM742401 gain-of-function studies, unveiling inhibited MM cell migration, thus suggesting how epigenetic silencing of BM742401 may enhance myeloma metastases and disease progression [121].
Most recently, several studies have also focused on the role of novel assays for the detection of ncRNAs within several body fluids, thus suggesting the use of minimally invasive procedures for identifying miRNA patterns in MM [122,123,124]. For instance, circulating exosomal miRNAs were described as an important tool to enhance the stratification of MM patients with high-risk disease; and miRNA-let7b and -18a were associated with both progression-free and overall-survival [123].
In summary, miRNAs have certainly gained scientists’ attention due to their important within the clinical setting. Indeed, miRNAs may be used to differentiate between a tumor and a normal tissue; between tumor subtypes, within a given tumor type; to better define outcome of patients and their response to treatments; and, finally, can be either silenced or over-expressed for therapeutic purposes.

3. Role of Epigenetics in Supporting the MGUS-to-MM Transition

Epigenetic dysregulation represents a well-known hallmark of tumor cells, contributing to cancer onset and tumor progression. Detailed mechanisms underlying the MGUS-to-MM progression have not fully defined. Authors have defined a gene pattern for high-risk MM [125,126], nevertheless, additional studies are required for properly define mechanisms responsible for the MGUS-to-MM transition. Recent studies have dissected the potential role of epigenetics in supporting the MGUS-to-MM transition, including, for instance, DNA and histone methylation [34]. MM cells and several other tumor types present with global hypomethylation of DNA, together with hypermethylation of gene-specific promoter regions [127]. Genome-wide methylation arrays have been performed at several stages of MM disease, demonstrating the occurrence of DNA hypomethylation at early MM phases; importantly, the hypomethylated status was shown to further decline during MM progression [34]. Notably, promoter hypermethylation of several cancer-related genes (i.e., BNIP-3, p16, E-CAD, DAPK-1), was reported to correlated with adverse prognosis [30,128,129,130]. Recent studies have reported on the promoter methylation-dependent silencing of RASSF4 (RAS association domain family member 4), occurring with MM disease progression; with a correlation with adverse prognosis [131].
Transcriptome profiling has demonstrated EZH2 up-regulation during MM progression, with a specific enrichment within the high-risk proliferative subgroup [40]. Several evidences have highlighted the role of miRNAs in MM progression. Moreover, serum-miRNA signature was evaluated in both MGUS and MM patients, demonstrating its prognostic and diagnostic relevance [132,133].
Recent studies have dissected the potential role of methylation on miRNA expression; and reported on hypermethylation-mediated silencing of miRNAs that have reported as potential TS-miRNA in MM (i.e., miRNA-10b-5p, -152) [29].
Moreover, components of miRNA processing machinery are also associated with MM pathogenesis. Aberrant expression of Dicer has also been shown to play a role in the MGUS-to-MM progression; and to correlate with outcome in MM. Specifically, reduced Dicer levels were associated with disease progression from MGUS to active MMM; whereas increased Dicer levels resulted in prolonged PFS in MM patients [116,134]. In addition, the miRNA processing- and B-cell differentiation-regulator and Argonaut 2 (AGO2) [21,135,136] was shown to be up-regulated in MM patients with high-risk disease [126]. This findings prompted the authors to investigate the functional role of AGO2 in MM, demonstrating its oncogenic role, as shown by enhanced MM cell programmed cell death in AGO2-silenced MM cells [137].

4. Targeting Epigenetics within the Context of the Bone Marrow Milieu

High dose chemotherapy followed by stem cell transplantation, and the use of novel small molecules and antibodies, have certainly improved MM patient survival. Nevertheless, MM remains an incurable disease, and most patients succumb due to disease relapses and progression. It has been shown that the bone marrow (BM) milieu enhances MM cell survival and proliferation, conferring drug resistance [138]. How bone marrow mesenchymal stromal cells (BMSCs) may support MM disease progression and drug resistance has gained the attention of several research groups. For instance, BMSCs could favor the acquisition of additional genetic aberrations within the tumor clone, thus leading to prolonged MM cell survival, and drug-resistance, even in those cases presenting with a clinical remission state.
It has been previously reported that selective HDAC3-targeting using BG45, results in inhibition of MM cell growth [139]. Importantly, other groups have demonstrated how targeting HDAC3 within the context of the BM milieu results in an indirect anti-MM activity [140]. These data were supported the demonstration that HDAC3 levels were significantly higher in MM patients as compared to healthy individuals, and, importantly, MM cells were shown to induce the expression of HDAC3 in BMSCs [140].
Moreover, additional studies have also demonstrated the importance of engineering miRNAs in MM cells, aiming to obtain an anti-MM effect: indeed, enhancing the expression of pre-miRNA-15a and -16-1 in MM cells has shown to result in a significant anti-MM activity, supported by inhibition of MM cell adhesion to the surrounding BM milieu, resulting in disruption of the MM cell-to-BMSC cross talk, followed by significant reduction of MM tumor growth, as shown using xenograft disseminated MM models [112].

5. Conclusions

It is well accepted the concept that epigenetic alterations are an important process in MM pathogenesis and progression. All these findings yield potential avenues for novel therapy, thus suggesting the use of epigenetic-targeting drugs as a putative novel therapeutic approach for this disease. Several studies have dissected the potential anti-MM activity exerted by epigenetic modifier-targeting agents, such as inhibitors of DNMTs, HDACs, EZH2; and confirmed their anti-neoplastic effect in pre-clinical models of MM, as shown both in vitro an in vivo. Sequencing of MM patients during their disease progression could result in the identification of new epigenetic-related targets, thus supporting the rational for the design and development of new epigenetic-targeting agents for personalized therapies. Moreover, considering the recent advances within the field of CRISPR-Cas9-based genome editing approaches, these technologies could be potentially applied to better define the functional role of the described epigenetic aberrations, thus further contributing to a better understanding of the MM biology; and allowing for the identification of novel therapeutic interventions.
Furthermore, data from utilizing epigenetic inhibitors targeting several epigenetic modifiers e.g., DNMTs, HDACs, EZH2, BMI-1, and BET bromodomains have shown pleiotropic anti-MM effects by affecting several oncogenic pathways using MM in vitro and in vivo models. The use of relevant pre-clinical animal models, such as the Vk*MYC mice [141], that highly resemble the MM disease as it appears in human will be an absolute requirement to evaluate the efficacy and safety of epigenetic inhibitors in a syngeneic tumor microenvironment, as well as on-target drug effects in vivo. Such studies will provide proof-of-concepts for the translation of rational targeting of epigenetic modifiers into clinical practice in MM.

Author Contributions

Conceptualization: C.C., A.S., A.M.R.; writing of original draft: C.C., A.S., V.G., Supervision and revision of the manuscript: A.M.R. All authors have read and agreed to the published version of the manuscript.

Funding

Associazione Italiana per la Ricerca sul Cancro (Fondazione AIRC); European Hematology Association; Fondazione Regionale per la Ricerca Biomedica/ERA-NET TRANSCAN-2; AstraZeneca (A.M.R.).

Acknowledgments

AIL Brescia (Associazione Italiana contro le Leucemia-Linfomi e Mieloma).

Conflicts of Interest

Advisory board for Amgen, Celgene, Janssen (A.M.R.).

References

  1. Kyle, R.A.; Rajkumar, S.V. Multiple myeloma. N. Engl. J. Med. 2004, 351, 1860–1873. [Google Scholar] [CrossRef]
  2. Rajkumar, S.V.; Dimopoulos, M.A.; Palumbo, A.; Blade, J.; Merlini, G.; Mateos, M.-V.; Kumar, S.; Hillengass, J.; Kastritis, E.; Richardson, P.; et al. International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol. 2014, 15, e538–e548. [Google Scholar] [CrossRef]
  3. Kyle, R.A.; Therneau, T.M.; Rajkumar, S.V.; Larson, D.R.; Plevak, M.F.; Offord, J.R.; Dispenzieri, A.; Katzmann, J.A.; Melton, L.J. Prevalence of Monoclonal Gammopathy of Undetermined Significance. N. Engl. J. Med. 2006, 354, 1362–1369. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Landgren, O.; Kyle, R.A.; Pfeiffer, R.M.; Katzmann, J.A.; Caporaso, N.E.; Hayes, R.B.; Dispenzieri, A.; Kumar, S.; Clark, R.J.; Baris, D.; et al. Monoclonal gammopathy of undetermined significance (MGUS) consistently precedes multiple myeloma: A prospective study. Blood 2009, 113, 5412–5417. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Morgan, G.; Walker, B.A.; Davies, F.E. The genetic architecture of multiple myeloma. Nat. Rev. Cancer 2012, 12, 335–348. [Google Scholar] [CrossRef] [PubMed]
  6. Manier, S.; Kawano, Y.; Bianchi, G.; Roccaro, A.M.; Ghobrial, I.M. Cell autonomous and microenvironmental regulation of tumor progression in precursor states of multiple myeloma. Curr. Opin. Hematol. 2016, 23, 426–433. [Google Scholar] [CrossRef]
  7. Chesi, M.; Bergsagel, P.; Brents, L.; Smith, C.; Gerhard, D.; Kuehl, W. Dysregulation of cyclin D1 by translocation into an IgH gamma switch region in two multiple myeloma cell lines. Blood 1996, 88, 674–681. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Chesi, M.; Nardini, E.; Lim, R.S.; Smith, K.D.; Kuehl, W.M.; Bergsagel, P.L. The t(4;14) translocation in myeloma dysregulates both FGFR3 and a novel gene, MMSET, resulting in IgH/MMSET hybrid transcripts. Blood 1998, 92, 3025–3034. [Google Scholar] [CrossRef]
  9. DeVilder, M.-C.; Mellerin, M.-P.; Puthier, D.; Pennarun, E.; Harousseau, J.-L.; Moisan, J.-P. High incidence of N and K-Ras activating mutations in multiple myeloma and primary plasma cell leukemia at diagnosis. Hum. Mutat. 2001, 18, 212–224. [Google Scholar] [CrossRef]
  10. Kuehl, W.M.; Bergsagel, P.L. Multiple myeloma: Evolving genetic events and host interactions. Nat. Rev. Cancer 2002, 2, 175–187. [Google Scholar] [CrossRef]
  11. Waddington, C.H. The epigenotype. Endeavour 1942, 1, 18–20. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Bird, A. Perceptions of epigenetics. Nature 2007, 447, 396–398. [Google Scholar] [CrossRef]
  13. Kouzarides, T. Chromatin Modifications and Their Function. Cell 2007, 128, 693–705. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Margueron, R.; Reinberg, D. Chromatin structure and the inheritance of epigenetic information. Nat. Rev. Genet. 2010, 11, 285–296. [Google Scholar] [CrossRef] [PubMed]
  15. Rothbart, S.B.; Strahl, B.D. Interpreting the language of histone and DNA modifications. Biochim. Biophys. Acta 2014, 1839, 627–643. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Bannister, A.J.; Kouzarides, T. Regulation of chromatin by histone modifications. Cell Res. 2011, 21, 381–395. [Google Scholar] [CrossRef] [PubMed]
  17. Amodio, N.; Leotta, M.; Bellizzi, D.; Di Martino, M.T.; D’Aquila, P.; Lionetti, M.; Fabiani, F.; Leone, E.; Gullà, A.M.; Passarino, G.; et al. DNA-demethylating and anti-tumor activity of synthetic miR-29b mimics in multiple myeloma. Oncotarget 2012, 3, 1246–1258. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Amodio, N.; Stamato, M.A.; Gulla, A.M.; Morelli, E.; Romeo, E.; Raimondi, L.; Pitari, M.R.; Ferrandino, I.; Misso, G.; Caraglia, M.; et al. Therapeutic Targeting of miR-29b/HDAC4 Epigenetic Loop in Multiple Myeloma. Mol. Cancer Ther. 2016, 15, 1364–1375. [Google Scholar] [CrossRef]
  19. Sakai, T.; Toguchida, J.; Ohtani, N.; Yandell, D.W.; Rapaport, J.M.; Dryja, T.P. Allele-specific hypermethylation of the retinoblastoma tumor-suppressor gene. Am. J. Hum. Genet. 1991, 48, 880–888. [Google Scholar]
  20. Merlo, A.; Herman, J.G.; Mao, L.; Lee, D.J.; Gabrielson, E.; Burger, P.C.; Baylin, S.B.; Sidransky, D. 5′ CpG island methylation is associated with transcriptional silencing of the tumour suppressor p16/CDKN2/MTS1 in human cancers. Nat. Med. 1995, 1, 686–692. [Google Scholar] [CrossRef]
  21. Herman, J.G.; Merlo, A.; Mao, L.; Lapidus, R.G.; Issa, J.P.; Davidson, N.E.; Sidransky, D.; Baylin, S.B. Inactivation of the CDKN2/p16/MTS1 gene is frequently associated with aberrant DNA methylation in all common human cancers. Cancer Res. 1995, 55, 4525–4530. [Google Scholar] [PubMed]
  22. Saito, Y.; Liang, G.; Egger, G.; Friedman, J.M.; Chuang, J.C.; Coetzee, G.A.; Jones, P.A. Specific activation of microRNA-127 with downregulation of the proto-oncogene BCL6 by chromatin-modifying drugs in human cancer cells. Cancer Cell 2006, 9, 435–443. [Google Scholar] [CrossRef] [Green Version]
  23. Lujambio, A.; Ropero, S.; Ballestar, E.; Fraga, M.F.; Cerrato, C.; Setien, F.; Casado, S.; Suarez-Gauthier, A.; Sanchez-Cespedes, M.; Gitt, A.; et al. Genetic Unmasking of an Epigenetically Silenced microRNA in Human Cancer Cells. Cancer Res. 2007, 67, 1424–1429. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Esteller, M. Cancer epigenomics: DNA methylomes and histone-modification maps. Nat. Rev. Genet. 2007, 8, 286–298. [Google Scholar] [CrossRef]
  25. Herman, J.G.; Baylin, S.B. Gene Silencing in Cancer in Association with Promoter Hypermethylation. N. Engl. J. Med. 2003, 349, 2042–2054. [Google Scholar] [CrossRef]
  26. Bernstein, B.E.; Meissner, A.; Lander, E.S. The Mammalian Epigenome. Cell 2007, 128, 669–681. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Fraga, M.F.; Ballestar, E.; Villar-Garea, A.; Boix-Chornet, M.; Espada, J.; Schotta, G.; Bonaldi, T.; Haydon, C.; Ropero, S.; Petrie, K.; et al. Loss of acetylation at Lys16 and trimethylation at Lys20 of histone H4 is a common hallmark of human cancer. Nat. Genet. 2005, 37, 391–400. [Google Scholar] [CrossRef]
  28. Seligson, D.B.; Horvath, S.; Shi, T.; Yu, H.; Tze, S.; Grunstein, M.; Kurdistani, S.K. Global histone modification patterns predict risk of prostate cancer recurrence. Nature 2005, 435, 1262–1266. [Google Scholar] [CrossRef]
  29. Zhang, W.; Wang, Y.E.; Zhang, Y.; Leleu, X.; Reagan, M.R.; Zhang, Y.; Mishima, Y.; Glavey, S.; Manier, S.; Sacco, A.; et al. Global Epigenetic Regulation of MicroRNAs in Multiple Myeloma. PLoS ONE 2014, 9, e110973. [Google Scholar] [CrossRef] [Green Version]
  30. Kaiser, M.F.; Johnson, D.C.; Wu, P.; Walker, B.A.; Brioli, A.; Mirabella, F.; Wardell, C.P.; Melchor, L.; Davies, F.E.; Morgan, G.J. Global methylation analysis identifies prognostically important epigenetically inactivated tumor suppressor genes in multiple myeloma. Blood 2013, 122, 219–226. [Google Scholar] [CrossRef]
  31. Maes, K.; De Smedt, E.; Lemaire, M.; De Raeve, H.; Menu, E.; Van Valckenborgh, E.; McClue, S.; Vanderkerken, K.; De Bruyne, E. The role of DNA damage and repair in decitabine-mediated apoptosis in multiple myeloma. Oncotarget 2014, 5, 3115–3129. [Google Scholar] [CrossRef] [Green Version]
  32. Kiziltepe, T.; Hideshima, T.; Catley, L.; Raje, N.; Yasui, H.; Shiraishi, N.; Okawa, Y.; Ikeda, H.; Vallet, S.; Pozzi, S.; et al. 5-Azacytidine, a DNA methyltransferase inhibitor, induces ATR-mediated DNA double-strand break responses, apoptosis, and synergistic cytotoxicity with doxorubicin and bortezomib against multiple myeloma cells. Mol. Cancer Ther. 2007, 6, 1718–1727. [Google Scholar] [CrossRef] [Green Version]
  33. Maes, K.; Menu, E.; Van Valckenborgh, E.; Van Riet, I.; Vanderkerken, K.; De Bruyne, E. Epigenetic Modulating Agents as a New Therapeutic Approach in Multiple Myeloma. Cancers 2013, 5, 430–461. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Walker, B.A.; Wardell, C.P.; Chiecchio, L.; Smith, E.M.; Boyd, K.D.; Neri, A.; Davies, F.E.; Ross, F.M.; Morgan, G.J. Aberrant global methylation patterns affect the molecular pathogenesis and prognosis of multiple myeloma. Blood 2011, 117, 553–562. [Google Scholar] [CrossRef] [PubMed]
  35. Heuck, C.J.; Mehta, J.; Bhagat, T.; Gundabolu, K.; Yu, Y.; Khan, S.; Chrysofakis, G.; Schinke, C.; Tariman, J.D.; Vickrey, E.; et al. Myeloma Is Characterized by Stage-Specific Alterations in DNA Methylation That Occur Early during Myelomagenesis. J. Immunol. 2013, 190, 2966–2975. [Google Scholar] [CrossRef]
  36. Tanay, A.; O’Donnell-Luria, A.H.; Damelin, M.; Bestor, T.H. Hyperconserved CpG domains underlie Polycomb-binding sites. Proc. Natl. Acad. Sci. USA 2007, 104, 5521–5526. [Google Scholar] [CrossRef] [Green Version]
  37. Cao, R.; Wang, L.; Wang, H.; Xia, L.; Erdjument-Bromage, H.; Tempst, P.; Jones, R.S.; Zhang, Y. Role of Histone H3 Lysine 27 Methylation in Polycomb-Group Silencing. Science 2002, 298, 1039–1043. [Google Scholar] [CrossRef] [Green Version]
  38. Crea, F.; Paolicchi, E.; Marquez, V.E.; Danesi, R. Polycomb genes and cancer: Time for clinical application? Crit. Rev. Oncol. Hematol. 2012, 83, 184–193. [Google Scholar] [CrossRef]
  39. Margueron, R.; Reinberg, D. The Polycomb complex PRC2 and its mark in life. Nature 2011, 469, 343–349. [Google Scholar] [CrossRef] [Green Version]
  40. Pawlyn, C.; Bright, M.D.; Buros, A.F.; Stein, C.K.; Walters, Z.; Aronson, L.I.; Mirabella, F.; Jones, J.R.; Kaiser, M.F.; Walker, B.A.; et al. Overexpression of EZH2 in multiple myeloma is associated with poor prognosis and dysregulation of cell cycle control. Blood Cancer J. 2017, 7, e549. [Google Scholar] [CrossRef]
  41. Cai, L.; Rothbart, S.B.; Lu, R.; Xu, B.; Chen, W.-Y.; Tripathy, A.; Rockowitz, S.; Zheng, D.; Patel, D.J.; Allis, C.D.; et al. An H3K36 Methylation-Engaging Tudor Motif of Polycomb-like Proteins Mediates PRC2 Complex Targeting. Mol. Cell 2013, 49, 571–582. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Shi, W.; Liao, Y.; Willis, S.N.; Taubenheim, N.; Inouye, M.; Tarlinton, D.M.; Smyth, G.K.; Hodgkin, P.D.; Nutt, S.L.; Corcoran, L.M. Transcriptional profiling of mouse B cell terminal differentiation defines a signature for antibody-secreting plasma cells. Nat. Immunol. 2015, 16, 663–673. [Google Scholar] [CrossRef] [PubMed]
  43. Ning, F.; Wang, C.; Niu, S.; Xu, H.; Xia, K.; Wang, N. Transcription factor Phf19 positively regulates germinal center reactions that underlies its role in rheumatoid arthritis. Am. J. Transl. Res. 2018, 10, 200–211. [Google Scholar] [PubMed]
  44. Brien, G.L.; Gambero, G.; O’Connell, D.J.; Jerman, E.; Turner, S.A.; Egan, C.M.; Dunne, E.J.; Jurgens, M.C.; Wynne, K.; Piao, L.; et al. Polycomb PHF19 binds H3K36me3 and recruits PRC2 and demethylase NO66 to embryonic stem cell genes during differentiation. Nat. Struct. Mol. Biol. 2012, 19, 1273–1281. [Google Scholar] [CrossRef] [PubMed]
  45. Ballaré, C.; Lange, M.; Lapinaite, A.; Martin, G.M.; Morey, L.; Pascual, G.; Liefke, R.; Simon, B.; Shi, Y.; Gozani, O.; et al. Phf19 links methylated Lys36 of histone H3 to regulation of Polycomb activity. Nat. Struct. Mol. Biol. 2012, 19, 1257–1265. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Yamagishi, M.; Uchimaru, K. Targeting EZH2 in cancer therapy. Curr. Opin. Oncol. 2017, 29, 375–381. [Google Scholar] [CrossRef]
  47. Mason, M.; Schinke, C.; Eng, C.L.P.; Towfic, F.; Gruber, F.; Dervan, A.; White, B.S.; Pratapa, A.; Guan, Y.; Chen, H.; et al. Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease. Leukemia 2020, 34, 1866–1874. [Google Scholar] [CrossRef] [Green Version]
  48. Sonneveld, P.; Avet-Loiseau, H.; Lonial, S.; Usmani, S.; Siegel, D.; Anderson, K.C.; Chng, W.-J.; Moreau, P.; Attal, M.; Kyle, R.; et al. Treatment of multiple myeloma with high-risk cytogenetics: A consensus of the International Myeloma Working Group. Blood 2016, 127, 2955–2962. [Google Scholar] [CrossRef]
  49. Stec, I.; Wright, T.J.; Van Ommen, G.-J.B.; De Boer, P.A.J.; Van Haeringen, A.; Moorman, A.F.M.; Altherr, M.R.; Dunnen, J.T.D. WHSC1, a 90 kb SET Domain-Containing Gene, Expressed in Early Development and Homologous to a Drosophila Dysmorphy Gene Maps in the Wolf-Hirschhorn Syndrome Critical Region and is Fused to IgH in t(1;14) Multiple Myeloma. Hum. Mol. Genet. 1998, 7, 1071–1082. [Google Scholar] [CrossRef]
  50. Marango, J.; Shimoyama, M.; Nishio, H.; Meyer, J.A.; Min, D.-J.; Sirulnik, A.; Martinez-Martinez, Y.; Chesi, M.; Bergsagel, P.L.; Zhou, M.-M.; et al. The MMSET protein is a histone methyltransferase with characteristics of a transcriptional corepressor. Blood 2008, 111, 3145–3154. [Google Scholar] [CrossRef] [Green Version]
  51. Martinez-Garcia, E.; Popovic, R.; Min, D.-J.; Sweet, S.M.M.; Thomas, P.M.; Zamdborg, L.; Heffner, A.; Will, C.; Lamy, L.; Staudt, L.M.; et al. The MMSET histone methyl transferase switches global histone methylation and alters gene expression in t(4;14) multiple myeloma cells. Blood 2011, 117, 211–220. [Google Scholar] [CrossRef] [PubMed]
  52. Kuo, A.J.; Cheung, P.; Chen, K.; Zee, B.M.; Kioi, M.; Lauring, J.; Xi, Y.; Park, B.H.; Shi, X.; Garcia, B.A.; et al. NSD2 Links Dimethylation of Histone H3 at Lysine 36 to Oncogenic Programming. Mol. Cell 2011, 44, 609–620. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Min, D.-J.; Ezponda, T.; Kim, M.K.; Will, C.M.; Martinez-Garcia, E.; Popovic, R.; Basrur, V.; Elenitoba-Johnson, K.S.; Licht, J.D. MMSET stimulates myeloma cell growth through microRNA-mediated modulation of c-MYC. Leukemia 2012, 27, 686–694. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Popovic, R.; Martinez-Garcia, E.; Giannopoulou, E.G.; Zhang, Q.; Zhang, Q.; Ezponda, T.; Shah, M.Y.; Zheng, Y.; Will, C.M.; Small, E.C.; et al. Histone Methyltransferase MMSET/NSD2 Alters EZH2 Binding and Reprograms the Myeloma Epigenome through Global and Focal Changes in H3K36 and H3K27 Methylation. PLoS Genet. 2014, 10, e1004566. [Google Scholar] [CrossRef] [PubMed]
  55. Harding, T.; Swanson, J.; Van Ness, B. EZH2 inhibitors sensitize myeloma cell lines to panobinostat resulting in unique combinatorial transcriptomic changes. Oncotarget 2018, 9, 21930–21942. [Google Scholar] [CrossRef] [Green Version]
  56. Lakshmikuttyamma, A.; Scott, S.A.; DeCoteau, J.F.; Geyer, C.R. Reexpression of epigenetically silenced AML tumor suppressor genes by SUV39H1 inhibition. Oncogene 2009, 29, 576–588. [Google Scholar] [CrossRef] [Green Version]
  57. Devin, J.; Viziteu, E.; Herviou, L.; Seckinger, A.; Camille, G.; Goldschmidt, H.; Vincent, L.; Pasero, P.; Hose, D.; Klein, B.; et al. Inhibition of SUV39H Methyltransferase As a Potent Therapeutic Target in Multiple Myeloma. Blood 2015, 126, 1771. [Google Scholar] [CrossRef]
  58. Horiguchi, K.; Yamada, M.; Satoh, T.; Hashimoto, K.; Hirato, J.; Tosaka, M.; Yamada, S.; Mori, M. Transcriptional Activation of the Mixed Lineage Leukemia-p27Kip1 Pathway by a Somatostatin Analogue. Clin. Cancer Res. 2009, 15, 2620–2629. [Google Scholar] [CrossRef] [Green Version]
  59. Pawlyn, C.; Kaiser, M.F.; Heuck, C.; Melchor, L.; Wardell, C.P.; Murison, A.; Chavan, S.S.; Johnson, D.C.; Begum, D.B.; Dahir, N.M.; et al. The Spectrum and Clinical Impact of Epigenetic Modifier Mutations in Myeloma. Clin. Cancer Res. 2016, 22, 5783–5794. [Google Scholar] [CrossRef] [Green Version]
  60. Van Haaften, G.; Dalgliesh, G.L.; Davies, H.; Chen, L.; Bignell, G.; Greenman, C.; Edkins, S.; Hardy, C.; O’Meara, S.; Teague, J.; et al. Somatic mutations of the histone H3K27 demethylase gene UTX in human cancer. Nat. Genet. 2009, 41, 521–523. [Google Scholar] [CrossRef] [Green Version]
  61. Chapman, M.A.; Lawrence, M.S.; Keats, J.J.; Cibulskis, K.; Sougnez, C.; Schinzel, A.C.; Harview, C.L.; Brunet, J.-P.; Ahmann, G.J.; Adli, M.; et al. Initial genome sequencing and analysis of multiple myeloma. Nature 2011, 471, 467–472. [Google Scholar] [CrossRef] [PubMed]
  62. Cheng, H.; Qin, Y.; Fan, H.; Su, P.; Zhang, X.; Zhang, H.; Zhou, G. Overexpression of CARM1 in breast cancer is correlated with poorly characterized clinicopathologic parameters and molecular subtypes. Diagn. Pathol. 2013, 8, 129. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Hong, H.; Kao, C.; Jeng, M.-H.; Eble, J.N.; Koch, M.O.; Gardner, T.A.; Zhang, S.; Li, L.; Pan, C.-X.; Hu, Z.; et al. Aberrant expression of CARM1, a transcriptional coactivator of androgen receptor, in the development of prostate carcinoma and androgen-independent status. Cancer 2004, 101, 83–89. [Google Scholar] [CrossRef] [PubMed]
  64. Osada, S.; Suzuki, S.; Yoshimi, C.; Matsumoto, M.; Shirai, T.; Takahashi, S.; Imagawa, M. Elevated expression of coactivator-associated arginine methyltransferase 1 is associated with early hepatocarcinogenesis. Oncol. Rep. 2013, 30, 1669–1674. [Google Scholar] [CrossRef] [Green Version]
  65. An, W.; Kim, J.; Roeder, R.G. Ordered Cooperative Functions of PRMT1, p300, and CARM1 in Transcriptional Activation by p53. Cell 2004, 117, 735–748. [Google Scholar] [CrossRef] [Green Version]
  66. El Messaoudi, S.; Fabbrizio, E.; Rodriguez, C.; Chuchana, P.; Fauquier, L.; Cheng, D.; Theillet, C.; Vandel, L.; Bedford, M.T.; Sardet, C. Coactivator-associated arginine methyltransferase 1 (CARM1) is a positive regulator of the Cyclin E1 gene. Proc. Natl. Acad. Sci. USA 2006, 103, 13351–13356. [Google Scholar] [CrossRef] [Green Version]
  67. Lee, Y.H.; Stallcup, M.R. Roles of protein arginine methylation in DNA damage signaling pathways is CARM1 a life-or-death decision point? Cell Cycle 2011, 10, 1343–1344. [Google Scholar] [CrossRef] [Green Version]
  68. Chen, S.L.; Loffler, K.A.; Chen, D.; Stallcup, M.R.; Muscat, G.E. The coactivator-associated arginine methyltransferase is necessary for muscle differentiation: CARM1 coactivates myocyte enhancer factor-2. J. Biol. Chem. 2002, 277, 4324–4333. [Google Scholar] [CrossRef] [Green Version]
  69. Drew, A.E.; Moradei, O.; Jacques, S.L.; Rioux, N.; Boriack-Sjodin, A.P.; Allain, C.; Scott, M.P.; Jin, L.; Raimondi, A.; Handler, J.L.; et al. Identification of a CARM1 Inhibitor with Potent In Vitro and In Vivo Activity in Preclinical Models of Multiple Myeloma. Sci. Rep. 2017, 7, 17993. [Google Scholar] [CrossRef] [Green Version]
  70. Nakayama, K.; Szewczyk, M.M.; Seña, C.D.; Wu, H.; Dong, A.; Zeng, H.; Li, F.; De Freitas, R.F.; Eram, M.S.; Schapira, M.; et al. TP-064, a potent and selective small molecule inhibitor of PRMT4 for multiple myeloma. Oncotarget 2018, 9, 18480–18493. [Google Scholar] [CrossRef] [Green Version]
  71. Gullà, A.; Hideshima, T.; Bianchi, G.; Fulciniti, M.; Samur, M.K.; Qi, J.; Tai, Y.-T.; Harada, T.; Morelli, E.; Amodio, N.; et al. Protein arginine methyltransferase 5 has prognostic relevance and is a druggable target in multiple myeloma. Leukemia 2017, 32, 996–1002. [Google Scholar] [CrossRef] [PubMed]
  72. Allfrey, V.G.; Faulkner, R.; Mirsky, A.E. Acetylation and Methylation of Histones and Their Possible Role in the Regulation of Rna Synthesis. Proc. Natl. Acad. Sci. USA 1964, 51, 786–794. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Katan-Khaykovich, Y. Dynamics of global histone acetylation and deacetylation in vivo: Rapid restoration of normal histone acetylation status upon removal of activators and repressors. Genes Dev. 2002, 16, 743–752. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Haberland, M.; Montgomery, R.L.; Olson, E.N. The many roles of histone deacetylases in development and physiology: Implications for disease and therapy. Nat. Rev. Genet. 2009, 10, 32–42. [Google Scholar] [CrossRef] [PubMed]
  75. Ropero, S.; Esteller, M. The role of histone deacetylases (HDACs) in human cancer. Mol. Oncol. 2007, 1, 19–25. [Google Scholar] [CrossRef] [PubMed]
  76. Dawson, M.A.; Kouzarides, T. Cancer Epigenetics: From Mechanism to Therapy. Cell 2012, 150, 12–27. [Google Scholar] [CrossRef] [Green Version]
  77. Choudhary, C.; Kumar, C.; Gnad, F.; Nielsen, M.L.; Rehman, M.; Walther, T.C.; Olsen, J.V.; Mann, M. Lysine Acetylation Targets Protein Complexes and Co-Regulates Major Cellular Functions. Science 2009, 325, 834–840. [Google Scholar] [CrossRef] [Green Version]
  78. Pasqualucci, L.; Dominguez-Sola, D.; Chiarenza, A.; Fabbri, G.; Grunn, A.; Trifonov, V.; Kasper, L.H.; Lerach, S.; Tang, H.; Ma, J.; et al. Inactivating mutations of acetyltransferase genes in B-cell lymphoma. Nature 2011, 471, 189–195. [Google Scholar] [CrossRef] [Green Version]
  79. Dutta, R.; Tiu, B.; Sakamoto, K.M. CBP/p300 acetyltransferase activity in hematologic malignancies. Mol. Genet. Metab. 2016, 119, 37–43. [Google Scholar] [CrossRef]
  80. Walker, B.A.; Mavromatis, K.; Wardell, C.P.; Ashby, C.; Bauer, M.; Davies, F.E.; Rosenthal, A.; Wang, H.; Qu, P.; Hoering, A.; et al. Identification of novel mutational drivers reveals oncogene dependencies in multiple myeloma. Blood 2018, 132, 587–597. [Google Scholar] [CrossRef]
  81. Brooks, N.; Raja, M.; Young, B.W.; Spencer, G.J.; Somervaille, T.C.; Pegg, N.A. CCS1477: A Novel Small Molecule Inhibitor of p300/CBP Bromodomain for the Treatment of Acute Myeloid Leukaemia and Multiple Myeloma. Blood 2019, 134, 2560. [Google Scholar] [CrossRef]
  82. Rahman, S.; Sowa, M.E.; Ottinger, M.; Smith, J.A.; Shi, Y.; Harper, J.W.; Howley, P.M. The Brd4 Extraterminal Domain Confers Transcription Activation Independent of pTEFb by Recruiting Multiple Proteins, Including NSD3. Mol. Cell. Biol. 2011, 31, 2641–2652. [Google Scholar] [CrossRef] [Green Version]
  83. Chng, W.-J.; Huang, G.F.; Chung, T.H.; Ng, S.B.; Gonzalez-Paz, N.; Troska-Price, T.; Mulligan, G.; Chesi, M.; Bergsagel, P.L.; Fonseca, R. Clinical and biological implications of MYC activation: A common difference between MGUS and newly diagnosed multiple myeloma. Leukemia 2011, 25, 1026–1035. [Google Scholar] [CrossRef] [Green Version]
  84. Delmore, J.E.; Issa, G.C.; Lemieux, M.E.; Rahl, P.B.; Shi, J.; Jacobs, H.M.; Kastritis, E.; Gilpatrick, T.; Paranal, R.M.; Qi, J.; et al. BET Bromodomain Inhibition as a Therapeutic Strategy to Target c-Myc. Cell 2011, 146, 904–917. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. West, A.C.; Johnstone, R.W. New and emerging HDAC inhibitors for cancer treatment. J. Clin. Investig. 2014, 124, 30–39. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Rikimaru, T.; Taketomi, A.; Yamashita, Y.-I.; Shirabe, K.; Hamatsu, T.; Shimada, M.; Maehara, Y. Clinical Significance of Histone Deacetylase 1 Expression in Patients with Hepatocellular Carcinoma. Oncology 2007, 72, 69–74. [Google Scholar] [CrossRef] [PubMed]
  87. Weichert, W.; Röske, A.; Gekeler, V.; Beckers, T.; Ebert, M.P.A.; Pross, M.; Dietel, M.; Denkert, C.; Röcken, C. Association of patterns of class I histone deacetylase expression with patient prognosis in gastric cancer: A retrospective analysis. Lancet Oncol. 2008, 9, 139–148. [Google Scholar] [CrossRef]
  88. Weichert, W.; Röske, A.; Gekeler, V.; Beckers, T.; Stephan, C.; Jung, K.; Fritzsche, F.R.; Niesporek, S.; Denkert, C.; Dietel, M.; et al. Histone deacetylases 1, 2 and 3 are highly expressed in prostate cancer and HDAC2 expression is associated with shorter PSA relapse time after radical prostatectomy. Br. J. Cancer 2008, 98, 604–610. [Google Scholar] [CrossRef] [Green Version]
  89. Weichert, W.; Röske, A.; Niesporek, S.; Noske, A.; Buckendahl, A.-C.; Dietel, M.; Gekeler, V.; Boehm, M.; Beckers, T.; Denkert, C. Class I Histone Deacetylase Expression Has Independent Prognostic Impact in Human Colorectal Cancer: Specific Role of Class I Histone Deacetylases In vitro and In vivo. Clin. Cancer Res. 2008, 14, 1669–1677. [Google Scholar] [CrossRef] [Green Version]
  90. Zhang, Z.; Yamashita, H.; Toyama, T.; Sugiura, H.; Ando, Y.; Mita, K.; Hamaguchi, M.; Hara, Y.; Kobayashi, S.; Iwase, H. Quantitation of HDAC1 mRNA Expression in Invasive Carcinoma of the Breast. Breast Cancer Res. Treat. 2005, 94, 11–16. [Google Scholar] [CrossRef]
  91. Marquard, L.; Gjerdrum, L.M.; Christensen, I.J.; Jensen, P.B.; Sehested, M.; Ralfkiaer, E. Prognostic significance of the therapeutic targets histone deacetylase 1, 2, 6 and acetylated histone H4 in cutaneous T-cell lymphoma. Histopathology 2008, 53, 267–277. [Google Scholar] [CrossRef]
  92. Marquard, L.; Poulsen, C.B.; Gjerdrum, L.M.R.; Brown, P.D.N.; Christensen, I.J.; Jensen, P.B.; Sehested, M.; Johansen, P.; Ralfkiaer, E.; Ralfkiær, E. Histone deacetylase 1, 2, 6 and acetylated histone H4 in B- and T-cell lymphomas. Histopathology 2009, 54, 688–698. [Google Scholar] [CrossRef] [PubMed]
  93. Mithraprabhu, S.; Kalff, A.; Chow, A.; Khong, T.; Spencer, A. Dysregulated Class I histone deacetylases are indicators of poor prognosis in multiple myeloma. Epigenetics 2014, 9, 1511–1520. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Skov, V.; Larsen, T.S.; Thomassen, M.; Riley, C.H.; Jensen, M.K.; Bjerrum, O.W.; Kruse, T.A.; Hasselbalch, H.C. Increased gene expression of histone deacetylases in patients with Philadelphia-negative chronic myeloproliferative neoplasms. Leuk. Lymphoma 2011, 53, 123–129. [Google Scholar] [CrossRef]
  95. Wang, J.C.; Chen, C.; Dumlao, T.; Naik, S.; Chang, T.; Xiao, Y.-Y.; Sominsky, I.; Burton, J. Enhanced histone deacetylase enzyme activity in primary myelofibrosis. Leuk. Lymphoma 2008, 49, 2321–2327. [Google Scholar] [CrossRef] [PubMed]
  96. Eckschlager, T.; Plch, J.; Stiborova, M.; Hrabeta, J. Histone Deacetylase Inhibitors as Anticancer Drugs. Int. J. Mol. Sci. 2017, 18, 1414. [Google Scholar] [CrossRef]
  97. Hideshima, T.; Anderson, K.C. Histone deacetylase inhibitors in the treatment for multiple myeloma. Int. J. Hematol. 2013, 97, 324–332. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  98. Hideshima, T.; Richardson, P.G.; Anderson, K.C. Mechanism of Action of Proteasome Inhibitors and Deacetylase Inhibitors and the Biological Basis of Synergy in Multiple Myeloma. Mol. Cancer Ther. 2011, 10, 2034–2042. [Google Scholar] [CrossRef] [Green Version]
  99. Marks, P.A.; Miller, T.; Richon, V.M. Histone deacetylases. Curr. Opin. Pharmacol. 2003, 3, 344–351. [Google Scholar] [CrossRef]
  100. Siegel, D.S.; Hussein, M.; Belani, C.P.; Robert, F.; Galanis, E.; Richon, V.M.; Garcia-Vargas, J.; Sanz-Rodríguez, C.; Rizvi, S. Vorinostat in solid and hematologic malignancies. J. Hematol. Oncol. 2009, 2, 31. [Google Scholar] [CrossRef] [Green Version]
  101. Catley, L.; Weisberg, E.; Kiziltepe, T.; Tai, Y.-T.; Hideshima, T.; Neri, P.; Tassone, P.; Atadja, P.; Chauhan, D.; Munshi, N.C.; et al. Aggresome induction by proteasome inhibitor bortezomib and α-tubulin hyperacetylation by tubulin deacetylase (TDAC) inhibitor LBH589 are synergistic in myeloma cells. Blood 2006, 108, 3441–3449. [Google Scholar] [CrossRef] [PubMed]
  102. Khan, S.B.; Maududi, T.; Barton, K.; Ayers, J.; Alkan, S. Analysis of histone deacetylase inhibitor, depsipeptide (FR901228), effect on multiple myeloma. Br. J. Haematol. 2004, 125, 156–161. [Google Scholar] [CrossRef] [PubMed]
  103. Sutheesophon, K.; Kobayashi, Y.; Takatoku, M.-A.; Ozawa, K.; Kano, Y.; Ishii, H.; Furukawa, Y. Histone Deacetylase Inhibitor Depsipeptide (FK228) Induces Apoptosis in Leukemic Cells by Facilitating Mitochondrial Translocation of Bax, Which Is Enhanced by the Proteasome Inhibitor Bortezomib. Acta Haematol. 2006, 115, 78–90. [Google Scholar] [CrossRef] [PubMed]
  104. Bae, J.; Hideshima, T.; Tai, Y.-T.; Song, Y.; Richardson, P.; Raje, N.; Munshi, N.C.; Anderson, K.C. Histone deacetylase (HDAC) inhibitor ACY241 enhances anti-tumor activities of antigen-specific central memory cytotoxic T lymphocytes against multiple myeloma and solid tumors. Leukemia 2018, 32, 1932–1947. [Google Scholar] [CrossRef]
  105. Djebali, S.; Davis, C.A.; Merkel, A.; Dobin, A.; Lassmann, T.; Mortazavi, A.; Tanzer, A.; Lagarde, J.; Lin, W.; Schlesinger, F.; et al. Landscape of transcription in human cells. Nature 2012, 489, 101–108. [Google Scholar] [CrossRef]
  106. Ambros, V. The functions of animal microRNAs. Nature 2004, 431, 350–355. [Google Scholar] [CrossRef]
  107. Iorio, M.V.; Croce, C.M. MicroRNA dysregulation in cancer: Diagnostics, monitoring and therapeutics. A comprehensive review. EMBO Mol. Med. 2012, 4, 143–159. [Google Scholar] [CrossRef]
  108. Iorio, M.V.; Croce, C.M. microRNA involvement in human cancer. Carcinogenesis 2012, 33, 1126–1133. [Google Scholar] [CrossRef] [Green Version]
  109. Romero-Cordoba, S.L.; Salido-Guadarrama, I.; Rodriguez-Dorantes, M.; Hidalgo-Miranda, A. miRNA biogenesis: Biological impact in the development of cancer. Cancer Biol. Ther. 2014, 15, 1444–1455. [Google Scholar] [CrossRef] [Green Version]
  110. Calin, G.A.; Dumitru, C.D.; Shimizu, M.; Bichi, R.; Zupo, S.; Noch, E.; Aldler, H.; Rattan, S.; Keating, M.; Rai, K.; et al. Frequent deletions and down-regulation of micro-RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia. Proc. Natl. Acad. Sci. USA 2002, 99, 15524–15529. [Google Scholar] [CrossRef] [Green Version]
  111. Pichiorri, F.; Suh, S.-S.; Ladetto, M.; Kuehl, M.; Palumbo, T.; Drandi, D.; Taccioli, C.; Zanesi, N.; Alder, H.; Hagan, J.P.; et al. MicroRNAs regulate critical genes associated with multiple myeloma pathogenesis. Proc. Natl. Acad. Sci. USA 2008, 105, 12885–12890. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  112. Roccaro, A.M.; Sacco, A.; Thompson, B.; Leleu, X.; Azab, A.K.; Azab, F.; Runnels, J.; Jia, X.; Ngo, H.T.; Melhem, M.R.; et al. MicroRNAs 15a and 16 regulate tumor proliferation in multiple myeloma. Blood 2009, 113, 6669–6680. [Google Scholar] [CrossRef] [PubMed]
  113. Gutiérrez, N.C.; Sarasquete, M.E.; Misiewicz-Krzeminska, I.; Delgado, M.; Rivas, J.D.L.; Ticona, F.V.; Fermiñán, E.; Martín-Jiménez, P.; Chillón, C.; Risueño, A.; et al. Deregulation of microRNA expression in the different genetic subtypes of multiple myeloma and correlation with gene expression profiling. Leukemia 2010, 24, 629–637. [Google Scholar] [CrossRef]
  114. Volinia, S.; Calin, G.A.; Liu, C.-G.; Ambs, S.; Cimmino, A.; Petrocca, F.; Visone, R.; Iorio, M.; Roldo, C.; Ferracin, M.; et al. A microRNA expression signature of human solid tumors defines cancer gene targets. Proc. Natl. Acad. Sci. USA 2006, 103, 2257–2261. [Google Scholar] [CrossRef] [Green Version]
  115. Lujambio, A.; Calin, G.A.; Villanueva, A.; Ropero, S.; Sánchez-Céspedes, M.; Blanco, D.; Montuenga, L.M.; Rossi, S.; Nicoloso, M.S.; Faller, W.J.; et al. A microRNA DNA methylation signature for human cancer metastasis. Proc. Natl. Acad. Sci. USA 2008, 105, 13556–13561. [Google Scholar] [CrossRef] [Green Version]
  116. Fulciniti, M.; Amodio, N.; Bandi, R.L.; Cagnetta, A.; Samur, M.K.; Acharya, C.; Prabhala, R.; D’Aquila, P.; Bellizzi, D.; Passarino, G.; et al. miR-23b/SP1/c-myc forms a feed-forward loop supporting multiple myeloma cell growth. Blood Cancer J. 2016, 6, e380. [Google Scholar] [CrossRef] [PubMed]
  117. Amodio, N.; Stamato, M.A.; Juli, G.; Morelli, E.; Fulciniti, M.; Manzoni, M.; Taiana, E.; Agnelli, L.; Cantafio, M.E.G.; Romeo, E.; et al. Drugging the lncRNA MALAT1 via LNA gapmeR ASO inhibits gene expression of proteasome subunits and triggers anti-multiple myeloma activity. Leukemia 2018, 32, 1948–1957. [Google Scholar] [CrossRef] [Green Version]
  118. Stamato, M.A.; Juli, G.; Romeo, E.; Ronchetti, D.; Arbitrio, M.; Caracciolo, D.; Neri, A.; Tagliaferri, P.; Tassone, P.; Amodio, N. Inhibition of EZH2 triggers the tumor suppressive miR-29b network in multiple myeloma. Oncotarget 2017, 8, 106527–106537. [Google Scholar] [CrossRef] [Green Version]
  119. Zhou, M.; Zhao, H.; Wang, Z.; Cheng, L.; Yang, L.; Shi, H.; Yang, H.; Sun, J. Identification and validation of potential prognostic lncRNA biomarkers for predicting survival in patients with multiple myeloma. J. Exp. Clin. Cancer Res. 2015, 34, 1–14. [Google Scholar] [CrossRef] [Green Version]
  120. Ronchetti, D.; Agnelli, L.; Taiana, E.; Galletti, S.; Manzoni, M.; Todoerti, K.; Musto, P.; Strozzi, F.; Neri, A. Distinct lncRNA transcriptional fingerprints characterize progressive stages of multiple myeloma. Oncotarget 2016, 7, 14814–14830. [Google Scholar] [CrossRef] [Green Version]
  121. Li, Z.; Kumar, S.; Jin, D.-Y.; Calin, G.A.; Chng, W.-J.; Siu, K.-L.; Poon, M.-W.; Chim, C.S. Epigenetic silencing of long non-coding RNA BM742401 in multiple myeloma: Impact on prognosis and myeloma dissemination. Cancer Cell Int. 2020, 20, 1–10. [Google Scholar] [CrossRef] [PubMed]
  122. Feng, Y.; Zhang, L.; Wu, J.; Khadka, B.; Fang, Z.; Gu, J.; Tang, B.; Xiao, R.; Pan, G.; Liu, J. CircRNA circ_0000190 inhibits the progression of multiple myeloma through modulating miR-767-5p/MAPK4 pathway. J. Exp. Clin. Cancer Res. 2019, 38, 1–17. [Google Scholar] [CrossRef] [PubMed]
  123. Manier, S.; Liu, C.-J.; Avet-Loiseau, H.; Park, J.; Shi, J.; Campigotto, F.; Salem, K.Z.; Huynh, D.; Glavey, S.V.; Rivotto, B.; et al. Prognostic role of circulating exosomal miRNAs in multiple myeloma. Blood 2017, 129, 2429–2436. [Google Scholar] [CrossRef] [PubMed]
  124. Wang, W.; Corrigan-Cummins, M.; Barber, E.A.; Saleh, L.M.; Zingone, A.; Ghafoor, A.; Costello, R.; Zhang, Y.; Kurlander, R.J.; Korde, N.; et al. Aberrant Levels of miRNAs in Bone Marrow Microenvironment and Peripheral Blood of Myeloma Patients and Disease Progression. J. Mol. Diagn. 2015, 17, 669–678. [Google Scholar] [CrossRef] [PubMed]
  125. Rajkumar, S.V.; Kyle, R.A.; Therneau, T.M.; Melton, L.J.; Bradwell, A.R.; Clark, R.J.; Larson, D.R.; Plevak, M.F.; Dispenzieri, A.; Katzmann, J.A. Serum free light chain ratio is an independent risk factor for progression in monoclonal gammopathy of undetermined significance. Blood 2005, 106, 812–817. [Google Scholar] [CrossRef]
  126. Shaughnessy, J.D., Jr.; Zhan, F.; Burington, B.E.; Huang, Y.; Colla, S.; Hanamura, I.; Stewart, J.P.; Kordsmeier, B.; Randolph, C.; Williams, D.R.; et al. A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome. Blood 2007, 109, 2276–2284. [Google Scholar] [CrossRef] [Green Version]
  127. Jones, P.A. Functions of DNA methylation: Islands, start sites, gene bodies and beyond. Nat. Rev. Genet. 2012, 13, 484–492. [Google Scholar] [CrossRef]
  128. Kristensen, L.S.; Asmar, F.; Dimopoulos, K.; Nygaard, M.K.; Aslan, D.; Hansen, J.W.; Ralfkiaer, E.; Grønbæk, K. Hypermethylation ofDAPK1is an independent prognostic factor predicting survival in diffuse large B-cell lymphoma. Oncotarget 2014, 5, 9798–9810. [Google Scholar] [CrossRef] [Green Version]
  129. Martinez-Baños, D.; Sánchez-Hernández, B.; Jiménez, G.; Barrera-Lumbreras, G.; Barrales-Benitez, O. Global methylation and promoter-specific methylation of the P16, SOCS-1, E-cadherin, P73 and SHP-1 genes and their expression in patients with multiple myeloma during active disease and remission. Exp. Ther. Med. 2017, 13, 2442–2450. [Google Scholar] [CrossRef] [Green Version]
  130. Wong, K.Y.; Chim, C.S. DNA methylation of tumor suppressor protein-coding and non-coding genes in multiple myeloma. Epigenomics 2015, 7, 985–1001. [Google Scholar] [CrossRef]
  131. De Smedt, E.; Maes, K.; Verhulst, S.; Lui, H.; Kassambara, A.; Maes, A.; Robert, N.; Heirman, C.; Cakana, A.; Hose, D.; et al. Loss of RASSF4 Expression in Multiple Myeloma Promotes RAS-Driven Malignant Progression. Cancer Res. 2017, 78, 1155–1168. [Google Scholar] [CrossRef] [Green Version]
  132. Jones, C.I.; Zabolotskaya, M.V.; King, A.J.; Stewart, H.J.S.; Horne, G.; Chevassut, T.J.; Newbury, S.F. Identification of circulating microRNAs as diagnostic biomarkers for use in multiple myeloma. Br. J. Cancer 2012, 107, 1987–1996. [Google Scholar] [CrossRef] [PubMed]
  133. Kubiczkova, L.; Kryukov, F.; Slaby, O.; Dementyeva, E.; Jarkovsky, J.; Nekvindova, J.; Radova, L.; Greslikova, H.; Kuglik, P.; Vetesnikova, E.; et al. Circulating serum microRNAs as novel diagnostic and prognostic biomarkers for multiple myeloma and monoclonal gammopathy of undetermined significance. Haematology 2013, 99, 511–518. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  134. Sarasquete, M.E.; Gutiérrez, N.C.; Misiewicz-Krzeminska, I.; Paiva, B.; Chillón, M.C.; Alcoceba, M.; García-Sanz, R.; Hernández, J.M.; González, M.; San-Miguel, J.F. Upregulation of Dicer is more frequent in monoclonal gammopathies of undetermined significance than in multiple myeloma patients and is associated with longer survival in symptomatic myeloma patients. Haematologica 2010, 96, 468–471. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  135. Diederichs, S.; Haber, D.A. Dual Role for Argonautes in MicroRNA Processing and Posttranscriptional Regulation of MicroRNA Expression. Cell 2007, 131, 1097–1108. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  136. Carroll, D.O.; Mecklenbrauker, I.; Das, P.P.; Santana, A.; Koenig, U.; Enright, A.J.; Miska, E.A.; Tarakhovsky, A. A Slicer-independent role for Argonaute 2 in hematopoiesis and the microRNA pathway. Genes Dev. 2007, 21, 1999–2004. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  137. Zhou, Y.; Chen, L.; Barlogie, B.; Stephens, O.; Wu, X.; Williams, D.R.; Cartron, M.-A.; van Rhee, F.; Nair, B.; Waheed, S.; et al. High-risk myeloma is associated with global elevation of miRNAs and overexpression of EIF2C2/AGO2. Proc. Natl. Acad. Sci. USA 2010, 107, 7904–7909. [Google Scholar] [CrossRef] [Green Version]
  138. Kawano, Y.; Moschetta, M.; Manier, S.; Glavey, S.; Görgün, G.T.; Roccaro, A.M.; Anderson, K.C.; Ghobrial, I.M. Targeting the bone marrow microenvironment in multiple myeloma. Immunol. Rev. 2014, 263, 160–172. [Google Scholar] [CrossRef]
  139. Minami, J.; Suzuki, R.; Mazitschek, R.; Gorgun, G.; Ghosh, B.; Cirstea, D.; Hu, Y.; Mimura, N.; Ohguchi, H.; Cottini, F.; et al. Histone deacetylase 3 as a novel therapeutic target in multiple myeloma. Leukemia 2013, 28, 680–689. [Google Scholar] [CrossRef] [Green Version]
  140. Ho, M.; Chen, T.; Liu, J.; Dowling, P.; Hideshima, T.; Zhang, L.; Morelli, E.; Camci-Unal, G.; Wu, X.; Tai, Y.-T.; et al. Targeting histone deacetylase 3 (HDAC3) in the bone marrow microenvironment inhibits multiple myeloma proliferation by modulating exosomes and IL-6 trans-signaling. Leukemia 2019, 34, 196–209. [Google Scholar] [CrossRef]
  141. Chesi, M.; Robbiani, D.F.; Sebag, M.; Chng, W.J.; Affer, M.; Tiedemann, R.; Valdez, R.; Palmer, S.E.; Haas, S.S.; Stewart, A.K.; et al. AID-Dependent Activation of a MYC Transgene Induces Multiple Myeloma in a Conditional Mouse Model of Post-Germinal Center Malignancies. Cancer Cell 2008, 13, 167–180. [Google Scholar] [CrossRef] [PubMed] [Green Version]
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Caprio, C.; Sacco, A.; Giustini, V.; Roccaro, A.M. Epigenetic Aberrations in Multiple Myeloma. Cancers 2020, 12, 2996. https://doi.org/10.3390/cancers12102996

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Caprio C, Sacco A, Giustini V, Roccaro AM. Epigenetic Aberrations in Multiple Myeloma. Cancers. 2020; 12(10):2996. https://doi.org/10.3390/cancers12102996

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Caprio, Cinzia, Antonio Sacco, Viviana Giustini, and Aldo M. Roccaro. 2020. "Epigenetic Aberrations in Multiple Myeloma" Cancers 12, no. 10: 2996. https://doi.org/10.3390/cancers12102996

APA Style

Caprio, C., Sacco, A., Giustini, V., & Roccaro, A. M. (2020). Epigenetic Aberrations in Multiple Myeloma. Cancers, 12(10), 2996. https://doi.org/10.3390/cancers12102996

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