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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mol. Biosci.</journal-id>
<journal-title>Frontiers in Molecular Biosciences</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mol. Biosci.</abbrev-journal-title>
<issn pub-type="epub">2296-889X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1067406</article-id>
<article-id pub-id-type="doi">10.3389/fmolb.2022.1067406</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Molecular Biosciences</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Insights into the role of long non-coding RNAs in DNA methylation mediated transcriptional regulation</article-title>
<alt-title alt-title-type="left-running-head">Yang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmolb.2022.1067406">10.3389/fmolb.2022.1067406</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Zhen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2048844/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Feng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Teschendorff</surname>
<given-names>Andrew E.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/33999/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yao</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/954017/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Jian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Yungang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Center for Medical Research and Innovation of Pudong Hospital</institution>, <institution>The Shanghai Key Laboratory of Medical Epigenetics</institution>, <institution>International Co-Laboratory of Medical Epigenetics and Metabolism</institution>, <institution>Ministry of Science and Technology</institution>, <institution>Institutes of Biomedical Sciences</institution>, <institution>Fudan University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>CAS Key Laboratory of Computational Biology</institution>, <institution>Shanghai Institute of Nutrition and Health</institution>, <institution>Chinese Academy of Sciences</institution>, <institution>University of Chinese Academy of Sciences</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute of Computing Technology</institution>, <institution>Chinese Academy of Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Experiment Medicine Center</institution>, <institution>The Affiliated Hospital of Southwest Medical University</institution>, <addr-line>Luzhou</addr-line>, <addr-line>Sichuan</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Shanghai Fifth People&#x2019;s Hospital</institution>, <institution>Fudan University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/483137/overview">Pietro Laneve</ext-link>, National Research Council (CNR), Italy</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/711336/overview">Jacob Peedicayil</ext-link>, Christian Medical College and Hospital, India</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1965377/overview">Valerie Br&#xed;d O&#x27;Leary</ext-link>, Charles University, Czechia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/87420/overview">Adriana Sujey Beltran</ext-link>, University of North Carolina at Chapel Hill, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Zhen Yang, <email>zhenyang@fudan.edu.cn</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to RNA Networks and Biology, a section of the journal Frontiers in Molecular Biosciences</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>1067406</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>11</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Yang, Xu, Teschendorff, Zhao, Yao, Li and He.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Yang, Xu, Teschendorff, Zhao, Yao, Li and He</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>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.</p>
</license>
</permissions>
<abstract>
<p>DNA methylation is one of the most important epigenetic mechanisms that governing regulation of gene expression, aberrant DNA methylation patterns are strongly associated with human malignancies. Long non-coding RNAs (lncRNAs) have being discovered as a significant regulator on gene expression at the epigenetic level. Emerging evidences have indicated the intricate regulatory effects between lncRNAs and DNA methylation. On one hand, transcription of lncRNAs are controlled by the promoter methylation, which is similar to protein coding genes, on the other hand, lncRNA could interact with enzymes involved in DNA methylation to affect the methylation pattern of downstream genes, thus regulating their expression. In addition, circular RNAs (circRNAs) being an important class of noncoding RNA are also found to participate in this complex regulatory network. In this review, we summarize recent research progress on this crosstalk between lncRNA, circRNA, and DNA methylation as well as their potential functions in complex diseases including cancer. This work reveals a hidden layer for gene transcriptional regulation and enhances our understanding for epigenetics regarding detailed mechanisms on lncRNA regulatory function in human cancers.</p>
</abstract>
<kwd-group>
<kwd>lncRNA</kwd>
<kwd>circRNA</kwd>
<kwd>DNA methylation</kwd>
<kwd>histone modification</kwd>
<kwd>transcriptional regulation</kwd>
<kwd>regulatory network</kwd>
</kwd-group>
<contract-num rid="cn001">91959106 31871255</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>DNA methylation is an epigenetic modification involving the transfer of the methyl group onto the C5 position of the cytosine at CpG dinucleotide sites to form the 5-methylcytosine (5mC). It has been widely recognized for DNA methylation as a major epigenetic mechanism in regulating gene expression, genome stability and cell fate (<xref ref-type="bibr" rid="B25">Deaton and Bird, 2011</xref>; <xref ref-type="bibr" rid="B121">Moore et al., 2013</xref>). DNA methylation at promoter region could determine the regulatory activity of the target genes by regulating chromatin accessibility and blocking recruitment of transcription factors (<xref ref-type="bibr" rid="B8">Blattler and Farnham, 2013</xref>; <xref ref-type="bibr" rid="B62">Hu et al., 2013</xref>). CpG islands within promoter regions are usually unmethylated and associated with a transcriptionally permissive state in normal physiology, whereas methylated CpG islands, which are often observed in cancer, generally associated with the closed chromatin configuration and lead to gene repression (<xref ref-type="bibr" rid="B38">Feinberg et al., 2006</xref>). DNA methylation status alterations are well known to influence transcript abundance of many cancer-related genes, thus may define different types of &#x201c;driver&#x201d; events, such as cell growth, proliferation, differentiation, and apoptosis processes (<xref ref-type="bibr" rid="B10">Borgel et al., 2010</xref>; <xref ref-type="bibr" rid="B69">Jones, 2012</xref>; <xref ref-type="bibr" rid="B76">Kulis et al., 2015</xref>; <xref ref-type="bibr" rid="B41">Fialkova et al., 2017</xref>).</p>
<p>DNA methylation is highly spatio-temporal specific across different cell types and developmental stages, and its emergence and maintenance are complex processes under precise regulation (<xref ref-type="bibr" rid="B98">Lister et al., 2009</xref>; <xref ref-type="bibr" rid="B250">Ziller et al., 2013</xref>). In mammalian cells, transfer of the methyl group to cytosine is catalyzed by three DNA methyltransferases (DNMTs): <italic>DNMT3A</italic>, <italic>DNMT3B</italic>, and <italic>DNMT1</italic>. It is recognized that <italic>DNMT3A</italic> and <italic>DNMT3B</italic> are <italic>de novo</italic> methyltransferases that establish DNA methylation patterns early in development, whereas <italic>DNMT1</italic> functions to preserve DNA methylation patterns from parental to daughter strand during every DNA replication cycle (<xref ref-type="bibr" rid="B111">Lyko, 2018</xref>). DNA demethylation is mainly mediated by the Ten-eleven translocation (TET) family members (<italic>TET1</italic>, <italic>TET2</italic>, and <italic>TET3</italic>). These enzymes are responsible for the hydroxylation of 5mC and its further oxidation, which finally get replaced by cytosine following base excision repair (<xref ref-type="bibr" rid="B116">Melamed et al., 2018</xref>). The DNA methylation status at particular site is not only determined by activity of DNMTs, which present limited sequence specificity (<xref ref-type="bibr" rid="B45">Furuta et al., 2014</xref>), but is also affected by coordinated function of other complexes, particularly chromatin-remodeling complexes and histone modification enzymes (<xref ref-type="bibr" rid="B59">Hervouet et al., 2018</xref>). For instance, it has been found that the maintenance of DNA methylation in heterochromatin requires the DNMT1/HDAC1 interaction and deacetylation state of histones, and the presence of 5mC is often correlated with histone deacetylation (<xref ref-type="bibr" rid="B44">Fuks et al., 2000</xref>). The Ubiquitin-like containing PHD Ring Finger 1 (UHRF1), which constitutes a complex with HDAC1, could interact with DNMT1 to promote DNA methylation inheritance during mid to late S phase (<xref ref-type="bibr" rid="B104">Liu et al., 2013</xref>; <xref ref-type="bibr" rid="B126">Nishiyama et al., 2020</xref>). Another example is the Polycomb Repressive Complex 2 (PRC2) protein EZH2, which has been shown to interact with DNMTs and is crucial for recruitment of DNMTs to specific loci (<xref ref-type="bibr" rid="B165">Vire et al., 2006</xref>; <xref ref-type="bibr" rid="B187">Wu et al., 2008</xref>). DNA hypermethylation observed in colon cancer could be partially regulated by interactions between DNMT3B and PRC1 or PRC2 (<xref ref-type="bibr" rid="B66">Jin et al., 2009</xref>). In recent years, accumulating evidence points towards long non-coding RNAs (lncRNAs) being an important piece in this jigsaw puzzle, representing a distinct class of epigenetic regulators that influence genome-wide DNA methylation patterns.</p>
<p>LncRNAs are defined as non-coding transcripts whose length ranges from 200&#xa0;nt to more than 10&#xa0;kb, and have been implicated in many physiological and pathological processes, including cancer (<xref ref-type="bibr" rid="B12">Cabili et al., 2011</xref>; <xref ref-type="bibr" rid="B37">Fatica and Bozzoni, 2014</xref>). A vast majority of lncRNAs are characterized as tissue and developmental stage specific with important functions in gene expression regulation, often act as competing endogenous RNA (ceRNA) to regulate the expression of downstream genes by binding to their common microRNA (miRNA) regulators (<xref ref-type="bibr" rid="B134">Ponting et al., 2009</xref>; <xref ref-type="bibr" rid="B159">Tay et al., 2014</xref>). In fact, lncRNAs could regulate gene expression <italic>via</italic> multiple mechanisms, including modulation of transcription, mRNA stability, translation and protein subcellular location by interacting with DNA, RNA or protein to form large complexes (<xref ref-type="bibr" rid="B152">Statello et al., 2021</xref>). Many lncRNAs act as scaffold or decoy to recruit or sequester other proteins or RNAs. They could affect chromatin architecture and genome organization to regulate gene expression by different mechanisms of action (<xref ref-type="bibr" rid="B210">Yao et al., 2019</xref>). Meanwhile, circular RNAs (circRNAs) being a new subtype of non-coding RNA formed by covalently closed loops through back splicing, now exhibit great potential with different cellular functions (<xref ref-type="bibr" rid="B100">Liu and Chen, 2022</xref>). They are involved in gene expression regulation by acting as sponge for miRNAs, or with other aspects of mechanisms. LncRNAs and circRNAs are widely implicated in the epigenetic regulatory mechanisms, such as DNA methylation and histone modification, and involved in the development and progression of many human malignancies (<xref ref-type="bibr" rid="B56">Hanly et al., 2018</xref>; <xref ref-type="bibr" rid="B123">Morselli and Dieci, 2022</xref>).</p>
<p>Evidence has indicated that transcriptional control of lncRNAs and circRNAs are similar to that of protein-coding genes (PCGs), with their expression regulated by promoter methylation status (<xref ref-type="bibr" rid="B184">Wu et al., 2010</xref>; <xref ref-type="bibr" rid="B94">Li et al., 2015</xref>; <xref ref-type="bibr" rid="B196">Xu et al., 2018</xref>). On the other hand, studies also indicate that they are pivotal regulators modulating the epigenome by interacting with different epigenetic factors (<xref ref-type="bibr" rid="B40">Ferreira and Esteller, 2018</xref>). LncRNAs and circRNAs could regulate DNA methylation <italic>via</italic> interaction with DNMTs or other genes involved in chromatin organization, thereby regulating target gene expression in diverse biological processes (<xref ref-type="bibr" rid="B117">Mercer and Mattick, 2013</xref>). The dynamic nature of their repertoire and plasticity for lncRNAs and circRNAs in interacting with different molecules made this crosstalk between lncRNAs and DNA methylation a complex regulatory network to be elucidated at the system level (<xref ref-type="fig" rid="F1">Figure 1</xref>). Therefore, a comprehensive review for achievements of the experimentally verified regulatory relationships among lncRNA, circRNA and DNA methylation is critically needed. Here we lay emphasis on those lncRNAs and circRNAs that have been identified to regulate DNA methylation with various mechanisms, as well as their roles in cancer development. Indeed, the broad phylogenies of lncRNAs and circRNAs and their important biological roles lead to the hypothesis that they could constitute another regulatory layer that shapes the epigenetic landscape, with great potential for diagnosis, prognosis, and personalized treatment of cancer.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Complex regulatory network involving lncRNAs and DNA methylation. On one hand, DNA methylation change targeting promoters of lncRNA genes may affect its expression as observed for PCGs. On another hand, lncRNAs can modulate DNA methylation and transcription of proximal and distant genes by interacting with enzymes or proteins involved in epigenetic regulation.</p>
</caption>
<graphic xlink:href="fmolb-09-1067406-g001.tif"/>
</fig>
</sec>
<sec id="s2">
<title>DNA methylation contributes to long non-coding RNA expression regulation</title>
<p>Beneath the aberrant cell proliferation of tumor formation is the complex interactions between a striking diversity of genetic and epigenetic factors, and the mechanisms of cancer development can be largely attributed to epimutations, which include the aberrant histone modifications and DNA hyper- and hypomethylation events across the genome (<xref ref-type="bibr" rid="B4">Banno et al., 2012</xref>). CpG hypermethylation is associated with specific chromatin conformation in blocking the recruitment of transcription factors, and generally promotes the transcription inhibition of tumor suppressor genes in cancer, whereas hypomethylation may lead to upregulation of oncogenes (<xref ref-type="bibr" rid="B29">Domcke et al., 2015</xref>). LncRNAs resemble mRNAs in length and biological characteristics but lack extended open reading frames (ORFs). Most of them are transcribed by RNA polymerase II, capped, polyadenylated, and often spliced, thus it is not surprise lncRNAs share similar epigenetic regulatory mechanisms with PCGs (<xref ref-type="bibr" rid="B130">Okazaki et al., 2002</xref>; <xref ref-type="bibr" rid="B143">Sati et al., 2012</xref>; <xref ref-type="bibr" rid="B55">Hangauer et al., 2013</xref>). This was confirmed by the observation of the lncRNA promoter methylation alterations in cancers (<xref ref-type="bibr" rid="B203">Yan et al., 2015</xref>), and also by the altered expression of numerous lncRNAs in response to the treatment with DNA methylation inhibitor 5-aza-2&#x2032;-deoxycytidine (5-AZA-CdR) (<xref ref-type="bibr" rid="B13">Cao et al., 2016</xref>). Many lncRNAs that undergo cancer-associated methylation changes are found at the crossroads of key oncogenic pathways (<xref ref-type="table" rid="T1">Table 1</xref>). For example, a p53-induced lncRNA <italic>TP53TG1</italic> present promoter hypermethylation in gastric and colon cancers. This lncRNA was found to interact with the DNA/RNA binding protein YBX1, impede its nuclear localization and prevent YBX1-mediated activation of other oncogenes (<xref ref-type="bibr" rid="B28">Diaz-Lagares et al., 2016</xref>). Another example is the tumor suppressor lncRNA <italic>GAS5</italic> (Growth Arrest-Specific transcript 5), which was found downregulated in gastric cancer <italic>via</italic> promoter hypermethylation. This lncRNA plays a key role in adriamycin sensitivity, and represents a novel marker of prognosis and potential therapeutic target for gastric cancer (<xref ref-type="bibr" rid="B155">Sun et al., 2014</xref>; <xref ref-type="bibr" rid="B224">Zhang et al., 2016</xref>). LncRNA <italic>CRNDE</italic> presents promoter hypermethylation and downregulated expression in B lymphocytes of chronic lymphocytic leukemia (CLL) patients. It acts as a competing endogenous RNA (ceRNA) to repress miR-28, thereby regulating <italic>NDRG2</italic> expression. Overexpression of <italic>CRNDE</italic> by DNA methylation inhibitor 5-AZA-CdR promotes <italic>NDRG2</italic> expression, thereby inhibit cell proliferation and promote apoptosis in CLL (<xref ref-type="bibr" rid="B125">Ni et al., 2021</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Representative lncRNAs whose expression regulated by promoter methylation.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">LncRNA name</th>
<th align="left">Methylation pattern</th>
<th align="left">Tissue/disease</th>
<th align="left">Target</th>
<th align="left">Function</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">TP53TG1</td>
<td align="left">Hypermethylation</td>
<td align="left">Gastric cancer; colon cancer</td>
<td align="left">YBX1</td>
<td align="left">Cellular death resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B28">Diaz-Lagares et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">GAS5</td>
<td align="left">Hypermethylation</td>
<td align="left">Gastric cancer</td>
<td align="left"/>
<td align="left">Cell proliferation promotion</td>
<td align="left">
<xref ref-type="bibr" rid="B155">Sun et al. (2014)</xref>; <xref ref-type="bibr" rid="B224">Zhang et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">CRNDE</td>
<td align="left">Hypermethylation</td>
<td align="left">Chronic lymphocytic leukemia</td>
<td align="left">miR-28</td>
<td align="left">Competing endogenous RNA, cell proliferation promotion</td>
<td align="left">
<xref ref-type="bibr" rid="B125">Ni et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">Hypomethylation</td>
<td align="left">Bladder cancer</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B158">Takai et al. (2001)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">Hypomethylation</td>
<td align="left">Colorectal cancer</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B162">Tian et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">Hypomethylation</td>
<td align="left">Oral squamous cell carcinoma</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B79">Lee et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">Hypermethylation</td>
<td align="left">Peripheral blood of gastric cancer patients</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B61">Hu et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">PlncRNA-1</td>
<td align="left">Hypomethylation</td>
<td align="left">Breast cancer</td>
<td align="left">miR-136</td>
<td align="left">Competing endogenous RNA, epithelial&#x2013;mesenchymal transition (EMT)</td>
<td align="left">
<xref ref-type="bibr" rid="B72">Kang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Esrp2-as</td>
<td align="left">Hypomethylation</td>
<td align="left">Breast cancer</td>
<td align="left"/>
<td align="left">Cell motility and proliferation promotion</td>
<td align="left">
<xref ref-type="bibr" rid="B58">Heilmann et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">HNF1A-AS1</td>
<td align="left">Hypermethylation</td>
<td align="left">Laryngeal squamous cell carcinoma</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B147">Shi et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00299</td>
<td align="left">Hypermethylation</td>
<td align="left">Breast cancer (TNBC)</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B113">Manoochehri et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00472</td>
<td align="left">Hypermethylation</td>
<td align="left">Gastric cancer</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B163">Tsai et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">RP11-713P17.4</td>
<td align="left">Hypermethylation</td>
<td align="left">Breast cancer</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B132">Pangeni et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">SNHG12</td>
<td align="left">Hypermethylation</td>
<td align="left">Glioblastoma</td>
<td align="left">miR-129-5p</td>
<td align="left">Competing endogenous RNA</td>
<td align="left">
<xref ref-type="bibr" rid="B107">Lu et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">SNHG11</td>
<td align="left">Hypermethylation</td>
<td align="left">Colorectal cancer</td>
<td align="left"/>
<td align="left">Promote CRC cell migration and metastasis under hypoxia</td>
<td align="left">
<xref ref-type="bibr" rid="B197">Xu et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">CCND2 AS1</td>
<td align="left">Hypomethylation</td>
<td align="left">Cervical cancer</td>
<td align="left"/>
<td align="left">Inhibited the proliferation and cell cycle progression</td>
<td align="left">
<xref ref-type="bibr" rid="B233">Zhao et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">SOX21-AS1</td>
<td align="left">Hypomethylation</td>
<td align="left">Cervical cancer</td>
<td align="left"/>
<td align="left">Regulation of the Wnt signaling pathway</td>
<td align="left">
<xref ref-type="bibr" rid="B32">Du et al. (2021a)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">Hypomethylation</td>
<td align="left">Nasopharyngeal carcinoma</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B124">Ng et al. (2003)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">Hypomethylation</td>
<td align="left">Colorectal cancer</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B24">Cui et al. (2002)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">Hypermethylation</td>
<td align="left">Cervical cancer</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B137">Roychowdhury et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">MEG3</td>
<td align="left">Hypermethylation</td>
<td align="left">Esophageal squamous cell carcinoma</td>
<td align="left">miR-9</td>
<td align="left">Competing endogenous RNA, promote cell proliferation and invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B31">Dong et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">PLUT</td>
<td align="left">Hypermethylation</td>
<td align="left">Lung adenocarcinoma</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B75">Kim-Wanner et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00473</td>
<td align="left">Hypermethylation</td>
<td align="left">Colorectal cancer</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B138">Ruiz-Banobre et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">MEG3</td>
<td align="left">Hypermethylation</td>
<td align="left">Breast cancer</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B131">Pan et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00261</td>
<td align="left">Hypermethylation</td>
<td align="left">Pancreatic cancer</td>
<td align="left">C-myc</td>
<td align="left">Repressing c-Myc expression</td>
<td align="left">
<xref ref-type="bibr" rid="B103">Liu et al. (2020c)</xref>
</td>
</tr>
<tr>
<td align="left">BLAT1</td>
<td align="left">Hypomethylation</td>
<td align="left">Breast cancer</td>
<td align="left"/>
<td align="left">Increased apoptosis, accumulation of DNA damage</td>
<td align="left">
<xref ref-type="bibr" rid="B54">Han et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00886</td>
<td align="left">Hypermethylation</td>
<td align="left">Laryngeal squamous cell carcinoma</td>
<td align="left"/>
<td align="left">Mitigated cell proliferation, migration and invasion, VEGFA/PI3K/AKT signaling pathways and epithelial-mesenchymal transition</td>
<td align="left">
<xref ref-type="bibr" rid="B78">Lan et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">SSTR5-AS1</td>
<td align="left">Hypermethylation</td>
<td align="left">Laryngeal squamous cell carcinoma</td>
<td align="left">E-cadherin</td>
<td align="left">Inhibits laryngeal carcinoma cells proliferation, migration and invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B167">Wang et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">GAS5</td>
<td align="left">Hypermethylation</td>
<td align="left">Cervical cancer</td>
<td align="left"/>
<td align="left">Inhibited proliferation, cell cycle progression, invasion, migration while inducing apoptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B207">Yang et al. (2019b)</xref>
</td>
</tr>
<tr>
<td align="left">MALAT1</td>
<td align="left">Hypomethylation</td>
<td align="left">Non-small cell lung cancer</td>
<td align="left">CXCL5</td>
<td align="left">Decrease cell migration and invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B49">Guo et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">TRPM2-AS1</td>
<td align="left">Hypomethylation</td>
<td align="left">Colorectal cancer</td>
<td align="left"/>
<td align="left">Promote proliferation and drug resistance of colorectal cancer cell</td>
<td align="left">
<xref ref-type="bibr" rid="B48">Ghasemi et al. (2021)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In addition to promoter hypermethylation, hypomethylation is also widely observed for many lncRNA genes. For instance, the well-known lncRNA <italic>H19</italic> displays aberrant promoter hypomethylation in many different cancer-types, including bladder cancer (<xref ref-type="bibr" rid="B158">Takai et al., 2001</xref>), colorectal cancer (<xref ref-type="bibr" rid="B162">Tian et al., 2012</xref>), and oral squamous cell carcinoma (<xref ref-type="bibr" rid="B79">Lee et al., 2021</xref>). One exception was found in the peripheral blood of gastric cancer patients, where hypermethylation of <italic>H19</italic> was observed that associated with poor prognosis (<xref ref-type="bibr" rid="B61">Hu et al., 2021</xref>). Another lncRNA <italic>PlncRNA-1</italic> was found hypomethylated in breast cancer tissue and accompanied by overexpression. It also functions as a ceRNA in the regulatory axis of miR-136&#x2014;Smad3, regulating epithelial&#x2013;mesenchymal transition (EMT) (<xref ref-type="bibr" rid="B72">Kang et al., 2020</xref>). Besides proximal promoter regions, aberrant DNA methylation at enhancer region has also been observed for lncRNA genes. For example, hypomethylation of the enhancer mapping to <italic>Esrp2-as</italic> is associated with its overexpression in breast cancer. This lncRNA locates in proximity to <italic>Esrp2</italic> (epithelial splicing regulatory protein 2), coordinated overexpression of <italic>Esrp2</italic> and <italic>Esrp2-as</italic> inversely correlates with hypomethylation in the enhancer and promotes cell motility and proliferation (<xref ref-type="bibr" rid="B58">Heilmann et al., 2017</xref>). Some other representative examples of aberrant methylation of lncRNA promoter in different cancers are summarized in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<p>In recent years, circRNA as another important class of non-coding RNAs has gained much attention due to its promising regulatory roles in cellular systems. CircRNAs are generated from precursor mRNA and are derived from non-canonical back-splice junction by linking 3&#x2032; splice site to a downstream 5&#x2032; splice site (<xref ref-type="bibr" rid="B3">Ashwal-Fluss et al., 2014</xref>). In this case, circRNA are thought to share the same transcription regulatory mechanism with their host genes. A previous study found a group of six circRNAs with their host genes undergo cancer-specific hypermethylation-associated transcriptional silencing, this phenomenon is suggested to be wide spread among different types of human malignancies (<xref ref-type="bibr" rid="B39">Ferreira et al., 2018</xref>). Another example was from multiple myeloma (MM), circRNA <italic>ciRS-7</italic> is downregulated in MM cells with immunomodulatory drug resistance. The decrease of its expression is associated with promoter hypermethylation of its host gene <italic>LINC00632</italic> (<xref ref-type="bibr" rid="B63">Jakobsen et al., 2021</xref>). However, evidence also suggests that many circRNAs may be transcriptionally regulated independently from their linear isoforms, resulting in different levels between their expression and that of their cognate linear mRNAs (<xref ref-type="bibr" rid="B142">Salzman et al., 2013</xref>; <xref ref-type="bibr" rid="B140">Rybak-Wolf et al., 2015</xref>). But the detailed mechanism of epigenetic regulation on circRNA biogenesis is largely unknown and remains further investigation.</p>
<p>It is worth noting that improvements in high-throughput sequencing technologies have led to the development of DNA methylome approaches, such as Whole Genome Bisulfite Sequencing (WGBS), Reduced Representation Bisulfite Sequencing (RRBS), DNA Immunoprecipitation Sequencing (MeDIP-seq), Methylation-sensitive restriction enzyme digestion sequencing (MRE-seq) and Human Methylation BeadChip Array (450K, EPIC). These technologies allow comprehensive characterization of human cancers <italic>via</italic> integrative analyses of genome, epigenome, and transcriptome data, and enable identification of global aberrant epigenetic patterns implicating deregulated lncRNAs and circRNAs. For example, by applying a combined strategy of MeDIP-seq and MRE-seq, <xref ref-type="bibr" rid="B218">Zhang et al. (2014)</xref> investigated the genome-wide DNA methylome profile in endometrial cancer, with hundreds of differentially methylated regions (DMRs) identified that co-localized with the promoters of lncRNA genes, including the well-known <italic>Xist</italic> which is critical for establishing inactivation of the X chromosome. Another study based on integrative analysis of MeDIP-seq and RNA-seq data identified differentially methylated lncRNAs in bladder cancer, with 26 lncRNAs presenting reverse correlation between methylation and expression (<xref ref-type="bibr" rid="B227">Zhang et al., 2019</xref>). Another integrative analysis of RRBS and RNA-seq, now in lung cancer, identified eight lncRNAs whose expression are associated with methylation in promoter regions (<xref ref-type="bibr" rid="B157">Sun et al., 2021</xref>). Due to the complex processing procedures and high cost of high-throughput sequencing based methylome technology, studies that identify global DNA methylation patterns for lncRNAs are still limited. For this reason, the Illumina Infinium Human Methylation450 BeadChip Array and its successor, the MethylationEPIC Array, are now commonly used to investigate DNA methylation profiles for different scenarios. Many studies have developed re-annotation strategies to identify array probes located in genome loci that associated with lncRNAs and to obtain lncRNA methylation profiles for a large number of samples (<xref ref-type="bibr" rid="B238">Zhi et al., 2014</xref>; <xref ref-type="bibr" rid="B237">Zhi et al., 2018</xref>). For example, one study performed in-depth characterization of DNA methylation landscape of lncRNA genes in 20 cancer types from The Cancer Genome Atlas (TCGA), discovering that the expression of lncRNAs is recurrently activated in tumors by hypomethylation. Overexpression of lncRNA <italic>EPIC1</italic> was identified to enhance tumor growth <italic>in vitro</italic> and <italic>in vivo</italic> for breast cancer, and is associated with poor prognosis of the patients (<xref ref-type="bibr" rid="B180">Wang et al., 2018b</xref>). Many other studies utilized bioinformatics and systems biology approaches to investigate differential methylation patterns of lncRNAs and their associated functions at pan-cancer wide (<xref ref-type="bibr" rid="B112">Ma et al., 2017</xref>; <xref ref-type="bibr" rid="B190">Xiao et al., 2018</xref>; <xref ref-type="bibr" rid="B95">Li et al., 2020</xref>; <xref ref-type="bibr" rid="B64">Ji et al., 2020</xref>; <xref ref-type="bibr" rid="B195">Xu et al., 2021</xref>; <xref ref-type="bibr" rid="B239">Zhong et al., 2021</xref>; <xref ref-type="bibr" rid="B234">Zhao et al., 2022</xref>). Although most of these DNA methylation related lncRNA dysregulation remains further confirmation and mechanism investigation, these current progresses indicate that many lncRNA genes are recurrently targeted by DNA methylation alterations in tumors, and could play an important role in tumor initiation and progression, and are worth being further evaluated for usage as cancer biomarkers.</p>
</sec>
<sec id="s3">
<title>Long non-coding RNAs as DNA methylation regulator</title>
<p>One of the major advances for functional study of lncRNAs over the past decade has been their participation in epigenetic control. The regulation by lncRNAs on DNA methylation has been proved to be an important mechanism that controls gene expression during cancer development (<xref ref-type="bibr" rid="B40">Ferreira and Esteller, 2018</xref>). For instance, we have previously shown that the well-known lncRNA <italic>HOTAIR</italic> is associated with methylation profile enriched for polycomb group target (PCGT) genes in ovarian cancer, this <italic>HOTAIR</italic>-associated DNA methylation signature could serve as biomarkers for mesenchymal differentiation and also as for carboplatin resistance of the tumor cell (<xref ref-type="bibr" rid="B161">Teschendorff et al., 2015</xref>). LncRNA associated DNA methylome deviation is achieved through direct or indirect interactions with DNMT or TET members to recruit or sequester these enzymes from specific genome loci, resulting in promotion or repression of the DNA methylation in <italic>cis</italic> or in <italic>trans</italic>. <italic>HOTAIR</italic> and some other lncRNAs, such as particle, are found to recruit epigenetic modifiers to RNA binding loci in the genome by formation of triple helix, which functions to modulate global methylation in cancer cells (<xref ref-type="bibr" rid="B71">Kalwa et al., 2016</xref>; <xref ref-type="bibr" rid="B128">O&#x27;Leary et al., 2017</xref>). The effect of lncRNAs on DNA methylation dysregulation of their target genes affects multiple cellular regulatory networks, revealing their importance for tumorigenesis and progression.</p>
<sec id="s3-1">
<title>Long non-coding RNAs interact with DNA methyltransferases</title>
<p>As the core enzyme involved in DNA methylation, interfering with DNMTs could be the most effective way for its function disturbance. Many lncRNAs were identified that physically interact with DNMTs to regulate methylation on target genes (<xref ref-type="fig" rid="F2">Figure 2A</xref>). <xref ref-type="bibr" rid="B118">Merry et al. (2015)</xref> discovered 148 lncRNAs that interact with DNMT1 in colon cancer by using the RNA immunoprecipitation sequencing (RIP-seq) method. Among these, one named <italic>DACOR1</italic> (DNMT1-associated colon cancer repressed lncRNA 1), which presents downregulated expression in colon cancer, was identified to interact with DNMT1 and recruit this macromolecular complex at specific genomic sites to influence DNA methylation and gene expression. Induction of <italic>DACOR1</italic> in colon cancer cells results in global hypermethylation at multiple loci without changing the <italic>DNMT1</italic> expression level, many of the hypermethylated regions are associated with genes that participate in cancer related pathways, such as TGF-&#x3b2;/BMP signaling (<xref ref-type="bibr" rid="B150">Somasundaram et al., 2018</xref>). Similarly, another lncRNA <italic>SAMD12-AS1</italic> was found highly up-regulated in gastric cancer. <italic>SAMD12-AS1</italic> may facilitate the repression of <italic>p53</italic> by recruiting DNMT1, thus promoting the progression of gastric cancer (<xref ref-type="bibr" rid="B108">Lu et al., 2021</xref>). In chronic myelocytic leukemia (CML), the lncRNA <italic>HOTAIR</italic> was found to enhance the methylation of <italic>PTEN</italic> promoter by recruiting DNMT1. Overexpression of <italic>HOTAIR</italic> could facilitate the proliferation, invasion, and migration of CML cells (<xref ref-type="bibr" rid="B151">Song et al., 2021</xref>). Besides PCGs, lncRNAs associated DNA methylation dysregulation are also widely found in promoters of other types of ncRNAs, such as miRNA. In hepatocellular carcinoma (HCC), miR-122 was identified as the methylation target of <italic>HOTAIR</italic>, the downregulated expression of miR-122 by <italic>HOTAIR</italic> leads to the activation of oncogene <italic>Cyclin G1</italic> and promotion of tumorigenesis in HCC (<xref ref-type="bibr" rid="B22">Cheng et al., 2018</xref>). Another example is <italic>TINCR</italic>, this lncRNA can recruit DNMT1 to the promoter of miR-503 gene in breast cancer. Overexpression of <italic>TINCR</italic> could increase methylation and suppress the transcription of miR-503-5p. Of note, <italic>TINCR</italic> can also act as a ceRNA for miR-503-5p to regulate <italic>EGFR</italic> and interfere with JAK2&#x2013;STAT3 signaling (<xref ref-type="bibr" rid="B172">Wang et al., 2021</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Detailed mechanism for DNA methylation regulation by lncRNAs in direct mode. <bold>(A)</bold>. LncRNAs recruit DNMTs to genome loci; <bold>(B)</bold>. LncRNAs sequester DNMTs from genome loci; <bold>(C)</bold>. LncRNAs regulate expression level of DNMTs; <bold>(D)</bold>. LncRNAs function as ceRNA to regulate DNMT expression level; <bold>(E)</bold>. LncRNAs influence the ubiquitination of DNMT proteins to affect the degradation. <bold>(F)</bold>. LncRNAs promote subcellular location of DNMT proteins. It is worth noting that similar mechanisms also applies to TET family members.</p>
</caption>
<graphic xlink:href="fmolb-09-1067406-g002.tif"/>
</fig>
<p>Besides the recruitment mechanism, lncRNA also sequester DNMTs from particular genome loci by a competitive interaction mode (<xref ref-type="fig" rid="F2">Figure 2B</xref>). A lncRNA arising from the <italic>CEBPA</italic> gene locus termed <italic>ecCEBPA</italic> could compete with DNMT1, thus inhibit methylation of <italic>CEBPA</italic> gene and facilitate <italic>CEBPA</italic> expression in leukemic cells. (<xref ref-type="bibr" rid="B27">Di Ruscio et al., 2013</xref>). This lncRNA was later identified to interact with DNA strand by forming a DNA:RNA triple helices and protect regions near its binding site from methylation (<xref ref-type="bibr" rid="B129">Ogunleye et al., 2021</xref>). Another lncRNA, named <italic>91H</italic> which located at the <italic>H19</italic>/<italic>IGF2</italic> locus and transcribed in <italic>H19</italic> antisense orientation, is overexpressed in breast cancer and prevent the maternal allele at the <italic>H19</italic>/<italic>IGF2</italic> locus from DNA methylation, by this mechanism to induce overexpression of oncogenic <italic>H19</italic> (<xref ref-type="bibr" rid="B164">Vennin et al., 2017</xref>). LncRNA <italic>HOTAIRM1</italic> (HOX antisense intergenic RNA myeloid 1), which is located between the <italic>HOXA1</italic> and <italic>HOXA2</italic> genes, could interact with DNMTs and other epigenetic factors to sequester them away from <italic>HOXA1</italic> promoter in glioblastoma multiforme (GBM). Upregulation of <italic>HOTAIRM1</italic> could lead to reduced methylation levels of <italic>HOXA1</italic> and finally to its upregulation of expression (<xref ref-type="bibr" rid="B84">Li et al., 2018</xref>). A similar observation was found in dental follicle stem cells (hDFSCs), in which <italic>HOTAIRM1</italic> binding to the CpG islands of the <italic>HOXA2</italic> promoter and reduce the binding of DNMT1 at the <italic>HOXA2</italic> promoter, resulting in <italic>HOXA2</italic> hypomethylation and deviant induction (<xref ref-type="bibr" rid="B21">Chen et al., 2020</xref>). These examples indicate that this regulatory mechanism by <italic>HOTARIM1</italic> within the <italic>HOXA</italic> cluster could be universal across tissues and diseases.</p>
<p>LncRNAs are also found to interact with other DNA methyltransferases in addition to DNMT1 to influence the methylation pattern of target genes. For instance, lncRNA <italic>HOTAIR</italic> was shown to recruit DNMT3B to increase <italic>HOXA5</italic> promoter methylation and silence its expression in acute myeloid leukemia (AML). <italic>HOTAIR</italic> silence and <italic>HOXA5</italic> activation were found to induce apoptosis and reduce proliferation of AML cells (<xref ref-type="bibr" rid="B173">Wang et al., 2019d</xref>). Another lncRNA <italic>MROS-1</italic> was found to modulate tumor suppressor <italic>PRUNE2</italic> expression by interacting with DNMT3A in oral squamous cell carcinoma (OSCA). Higher methylation levels of <italic>PRUNE2</italic> promoter induced by <italic>MROS-1</italic> were associated with cell migration and metastases (<xref ref-type="bibr" rid="B153">Su et al., 2021</xref>). The lncRNA <italic>TTTY15</italic> could interact with DNMT3A and prevent its binding to <italic>TBX4</italic> promoter in non-small cell lung cancer (NSCLC), the lower expression level of <italic>TTTY15</italic> and the associated downregulation of <italic>TBX4</italic> is connected with metastasis and worse prognosis of NSCLC patients (<xref ref-type="bibr" rid="B77">Lai et al., 2019</xref>).</p>
<p>Besides interacting with DNMT proteins, lncRNAs could also regulate their expression level with different mechanisms (<xref ref-type="fig" rid="F2">Figure 2C</xref>). For instance, one lncRNA named <italic>Dnmt3aos</italic> (DNA methyltransferase 3A, opposite strand) located on the antisense strand of <italic>DNMT3A</italic> was found to participate in the regulation of <italic>DNMT3A</italic> expression. <italic>Dnmt3aos</italic> is highly expressed in M(IL-4) macrophages, which leads to the highly coordinated expression of this sense-antisense pair of <italic>DNMT3A</italic> and <italic>Dnmt3aos</italic>. Elevated expression of <italic>Dnmt3aos</italic> and <italic>DNMT3A</italic> results in global DNA methylation changes in M(IL-4) macrophages (<xref ref-type="bibr" rid="B90">Li et al., 2020</xref>). In small cell lung cancer (SCLC), <italic>HOTAIR</italic> was found to inhibit expression of <italic>DNMT1</italic> and <italic>DNMT3B</italic>, thus regulating the methylation of <italic>HOXA1</italic> to mediate chemoresistance of SCLC (<xref ref-type="bibr" rid="B35">Fang et al., 2016</xref>). Whereas in AML patients, <italic>HOTAIR</italic> present up-regulated expression, which leads to downregulation of <italic>PTEN via DNMT3B</italic>-dependent pathway, and lead to doxorubicin resistance (<xref ref-type="bibr" rid="B246">Zhou et al., 2021</xref>).</p>
<p>LncRNAs have long been recognized to regulate gene expression <italic>via</italic> the ceRNA mechanism, by which lncRNAs act as a &#x201c;sponge&#x201d; to combine with miRNAs and sequester their interactions with mRNAs to de-repress the expression of targets. Many examples have been found for lncRNAs that regulate the expression of DNMTs as ceRNA (<xref ref-type="fig" rid="F2">Figure 2D</xref>). In laryngeal squamous cell carcinoma (LSCC), <italic>H19</italic> was found to be the sponge for miR-148a-3p, through which to regulate <italic>DNMT1</italic> expression. Overexpression of <italic>H19</italic> in LSCC leads to elevated expression of <italic>DNMT1</italic> and genome wide change of DNA methylation, including <italic>MGMT</italic> (<xref ref-type="bibr" rid="B185">Wu et al., 2016</xref>). Similar observation was also found for the <italic>RP11-159K7.2</italic>&#x2014;miR-206 &#x2013; <italic>DNMT3A</italic> axis in LSCC. Overexpressed <italic>RP11-159K7.2</italic> could interact with miR-206, which binds with <italic>DNMT3A</italic> 3&#x2032;-UTR. Interestingly, <italic>DNMT3A</italic> was also found to inhibit the expression of miR-206 <italic>via</italic> a DNA methylation-dependent manner, thus a feedback loop is maintained between <italic>DNMT3A</italic> and miR-206 to keep its internal balance (<xref ref-type="bibr" rid="B176">Wang et al., 2020</xref>). In hepatocytes, <italic>HOTAIR</italic> was found as sponge of miR-29b, which also regulates the expression of <italic>DNMT3B</italic> to regulate the methylation level of <italic>PTEN</italic> (<xref ref-type="bibr" rid="B213">Yu et al., 2020</xref>). Besides interactions with miRNAs, lncRNAs are also found to regulate the mRNA level of DNMTs by interacting with other proteins. For instance, the <italic>RMST</italic>, a lncRNA capable of upregulating <italic>DNMT3B</italic> expression by interaction with the RNA binding protein HuR, leads to alterations in global methylation in cancers (<xref ref-type="bibr" rid="B133">Peng et al., 2020</xref>).</p>
<p>LncRNAs could also function to regulate protein expression for DNMTs, such as by mechanism of ubiquitination (<xref ref-type="fig" rid="F2">Figure 2E</xref>). In HCC, lncRNA <italic>linc-GALH</italic> overexpression could enhance the ubiquitination of DNMT1 to accelerate its degradation. In this way, <italic>linc-GALH</italic> reduces the methylation level of <italic>Gankyrin</italic> to promote its expression (<xref ref-type="bibr" rid="B200">Xu et al., 2019</xref>). In another example, lncRNA <italic>LUCAT1</italic> was found to interact with DNMT1 but now to inhibit the ubiquitination in esophageal squamous cell carcinoma (ESCC). Upregulated <italic>LUCAT1</italic> thus stabilizes DNMT1 to enhance the methylation and inhibit the expression of tumor suppressors (<xref ref-type="bibr" rid="B212">Yoon et al., 2018</xref>). In addition, lncRNAs could also regulate local concentration of DNMTs by interfering with its subcellular location (<xref ref-type="fig" rid="F2">Figure 2F</xref>). For example, the lncRNA <italic>CCDC26</italic> could promote DNMT1 localization from cytoplasm to nucleus. In absence of <italic>CCDC26</italic>, DNMT1 is found mis-located in the cytoplasm, resulting in global hypomethylation (<xref ref-type="bibr" rid="B70">Jones et al., 2021</xref>). Examples of lncRNAs that interact with DNMTs to regulate methylation of downstream genes and their functions in cancers are summarized in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Representative lncRNAs that regulate DNA methylation of other genes in cancers and other disease.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">LncRNA name</th>
<th align="left">Cofactor</th>
<th align="left">Interaction mode</th>
<th align="left">Target</th>
<th align="left">Tissue/cancer</th>
<th align="left">Function</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">DACOR1</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">Genome wide</td>
<td align="left">Colon cancer</td>
<td align="left">TGF-&#x3b2;/BMP signaling</td>
<td align="left">
<xref ref-type="bibr" rid="B118">Merry et al. (2015)</xref>; <xref ref-type="bibr" rid="B150">Somasundaram et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">SAMD12-AS1</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">p53</td>
<td align="left">Gastric cancer</td>
<td align="left">P53 signaling pathway</td>
<td align="left">
<xref ref-type="bibr" rid="B108">Lu et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">PTEN</td>
<td align="left">Chronic myelocytic leukemia</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B151">Song et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">miR-122</td>
<td align="left">Hepatocellular carcinoma</td>
<td align="left">Cyclin G1 repression</td>
<td align="left">
<xref ref-type="bibr" rid="B22">Cheng et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">TINCR</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">miR-503-5p</td>
<td align="left">Breast cancer</td>
<td align="left">EGFR and JAK2&#x2013;STAT3 signaling</td>
<td align="left">
<xref ref-type="bibr" rid="B172">Wang et al. (2021b)</xref>
</td>
</tr>
<tr>
<td align="left">ecCEBPA</td>
<td align="left">DNMT1</td>
<td align="left">Sequester</td>
<td align="left">CEBPA; genome wide</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B27">Di Ruscio et al. (2013)</xref>; <xref ref-type="bibr" rid="B129">Ogunleye et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">91H</td>
<td align="left">DNMT1</td>
<td align="left">Sequester</td>
<td align="left">H19; IGF2</td>
<td align="left">Breast cancer</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B164">Vennin et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIRM1</td>
<td align="left">DNMTs; G9a; EZH2</td>
<td align="left">Sequester</td>
<td align="left">HOXA1</td>
<td align="left">Glioblastoma multiforme</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B84">Li et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIRM1</td>
<td align="left">DNMT1</td>
<td align="left">Sequester</td>
<td align="left">HOXA2</td>
<td align="left">Dental follicle stem cell</td>
<td align="left">Osteogenesis</td>
<td align="left">
<xref ref-type="bibr" rid="B21">Chen et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td align="left">DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">HOXA5</td>
<td align="left">Acute myeloid leukemia</td>
<td align="left">Apoptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B173">Wang et al. (2019d)</xref>
</td>
</tr>
<tr>
<td align="left">MROS-1</td>
<td align="left">DNMT3A</td>
<td align="left">Recruit</td>
<td align="left">PRUNE2</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B153">Su et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">TTTY15</td>
<td align="left">DNMT3A</td>
<td align="left">Sequester</td>
<td align="left">TBX4</td>
<td align="left">Non-small cell lung cancer</td>
<td align="left">Metastasis</td>
<td align="left">
<xref ref-type="bibr" rid="B77">Lai et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Dnmt3aos</td>
<td align="left">DNMT3A</td>
<td align="left">Expression</td>
<td align="left">Genome wide</td>
<td align="left">M(IL-4) macrophage</td>
<td align="left">Macrophage polarization</td>
<td align="left">
<xref ref-type="bibr" rid="B90">Li et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td align="left">DNMT1; DNMT3B</td>
<td align="left">Expression</td>
<td align="left">HOXA1</td>
<td align="left">Small cell lung cancer</td>
<td align="left">Chemoresistance</td>
<td align="left">
<xref ref-type="bibr" rid="B35">Fang et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td align="left">DNMT3B</td>
<td align="left">Expression</td>
<td align="left">PTEN</td>
<td align="left">Acute myeloid leukemia</td>
<td align="left">Adriacin doxorubicin resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B246">Zhou et al. (2021b)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">miR-148a-3p&#x2014;DNMT1</td>
<td align="left">ceRNA</td>
<td align="left">MGMT; Genome wide</td>
<td align="left">Laryngeal squamous cell carcinoma</td>
<td align="left">Cell proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B185">Wu et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">RP11-159K7.2</td>
<td align="left">miR-206&#x2014;DNMT3B</td>
<td align="left">ceRNA</td>
<td align="left">miR-206</td>
<td align="left">Laryngeal squamous cell carcinoma</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B176">Wang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td align="left">miR-29b&#x2014;DNMT3B</td>
<td align="left">ceRNA</td>
<td align="left">PTEN</td>
<td align="left">Hepatocytes</td>
<td align="left">Liver fibrosis</td>
<td align="left">
<xref ref-type="bibr" rid="B213">Yu et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">RMST</td>
<td align="left">HuR&#x2014;DNMT3B</td>
<td align="left">RNA stability</td>
<td align="left">Genome wide</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B133">Peng et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Linc-GALH</td>
<td align="left">Ubiquitin&#x2014;DNMT1</td>
<td align="left">Ubiquitination</td>
<td align="left">Gankyrin</td>
<td align="left">Hepatocellular carcinoma</td>
<td align="left">AKT signaling</td>
<td align="left">
<xref ref-type="bibr" rid="B200">Xu et al. (2019c)</xref>
</td>
</tr>
<tr>
<td align="left">LUCAT1</td>
<td align="left">Ubiquitin&#x2014;DNMT1</td>
<td align="left">Ubiquitination</td>
<td align="left"/>
<td align="left">Esophageal squamous cell carcinoma</td>
<td align="left">Cell proliferation, apoptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B212">Yoon et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">CCDC26</td>
<td align="left">DNMT1</td>
<td align="left">Subcellular location</td>
<td align="left">Genome wide</td>
<td align="left"/>
<td align="left">Apoptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B70">Jones et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">MAGI2-AS3</td>
<td align="left">TET1</td>
<td align="left">Recruit</td>
<td align="left">MAGI2</td>
<td align="left">Breast cancer</td>
<td align="left">Cell proliferation and migration</td>
<td align="left">
<xref ref-type="bibr" rid="B201">Xu et al. (2021b)</xref>
</td>
</tr>
<tr>
<td align="left">MAGI2-AS3</td>
<td align="left">TET2</td>
<td align="left">Recruit</td>
<td align="left">LRIG1</td>
<td align="left">Acute myeloid leukaemia</td>
<td align="left">Leukaemic stem cell self-renewal suppression</td>
<td align="left">
<xref ref-type="bibr" rid="B19">Chen et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">TARID</td>
<td align="left">GADD45A&#x2014;TET1</td>
<td align="left">Recruit</td>
<td align="left">TCF21</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B2">Arab et al. (2014)</xref>; <xref ref-type="bibr" rid="B1">Arab et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td align="left">TET1</td>
<td align="left">Expression</td>
<td align="left">SOX17; MAGI2</td>
<td align="left">Cervical cancer (Hela cell)</td>
<td align="left">Wnt/&#x3b2;-catenin signaling</td>
<td align="left">
<xref ref-type="bibr" rid="B141">Salmeron-Barcenas et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">let-7&#x2014;TET1</td>
<td align="left">ceRNA</td>
<td align="left">TGFBR2; TSP1</td>
<td align="left">Atherosclerotic coronary arteries</td>
<td align="left">TGF-&#x3b2; signaling</td>
<td align="left">
<xref ref-type="bibr" rid="B14">Cao et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">let-7&#x2014;TET3</td>
<td align="left">ceRNA</td>
<td align="left">HMGA2</td>
<td align="left">Uterine leiomyomas</td>
<td align="left">Proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B15">Cao et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">TETILA</td>
<td align="left">TET2</td>
<td align="left">Ubiquitination; subcellular location; recruit</td>
<td align="left">MMP-9</td>
<td align="left">Diabetic skin</td>
<td align="left">Wound healing</td>
<td align="left">
<xref ref-type="bibr" rid="B242">Zhou et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">PYCARD-AS1</td>
<td align="left">G9a; DNMT1</td>
<td align="left">Recruit</td>
<td align="left">PYCARD</td>
<td align="left">Breast cancer</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B119">Miao et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">KCNQ1OT1</td>
<td align="left">HP1&#x3b1;</td>
<td align="left">Recruit</td>
<td align="left">Genome wide</td>
<td align="left">Lung fibroblast</td>
<td align="left">Heterochromatin reorganization</td>
<td align="left">
<xref ref-type="bibr" rid="B229">Zhang et al. (2022b)</xref>
</td>
</tr>
<tr>
<td align="left">LINC01133</td>
<td align="left">EZH2</td>
<td align="left">Recruit</td>
<td align="left">DKK1</td>
<td align="left">Pancreatic cancer</td>
<td align="left">Wnt signaling</td>
<td align="left">
<xref ref-type="bibr" rid="B181">Weng et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">HOXB13-AS1</td>
<td align="left">EZH2; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">HOXB13</td>
<td align="left">Glioma</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B194">Xiong et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Lnc-LALC</td>
<td align="left">EZH2; DNMTs</td>
<td align="left">Recruit</td>
<td align="left">LZTS1</td>
<td align="left">Colorectal cancer</td>
<td align="left">Liver metastasis</td>
<td align="left">
<xref ref-type="bibr" rid="B219">Zhang et al. (2021a)</xref>
</td>
</tr>
<tr>
<td align="left">LUCAT1</td>
<td align="left">EZH2; DNMTs</td>
<td align="left">Recruit</td>
<td align="left">CXXC4; SFRP2</td>
<td align="left">Gastric cancer</td>
<td align="left">Wnt/&#x3b2;-catenin signaling</td>
<td align="left">
<xref ref-type="bibr" rid="B11">Byun et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">SNHG22</td>
<td align="left">EZH2; DNMT1</td>
<td align="left">Recruit</td>
<td align="left">miR-16-5p</td>
<td align="left">Hepatocellular carcinoma</td>
<td align="left">Cell proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B230">Zhang et al. (2021c)</xref>
</td>
</tr>
<tr>
<td align="left">GIHCG</td>
<td align="left">EZH2; DNMT1</td>
<td align="left">Recruit</td>
<td align="left">miR-200b/a/429</td>
<td align="left">Hepatocellular carcinoma</td>
<td align="left">Cell proliferation and migration</td>
<td align="left">
<xref ref-type="bibr" rid="B154">Sui et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">SChLAP1</td>
<td align="left">EZH2; DNMT3A; miR-340-5p&#x2014;DNMT3A</td>
<td align="left">Recruit; expression</td>
<td align="left">miR-340-5p; miR-143-3p; miR-145-5p</td>
<td align="left">Prostate cancer</td>
<td align="left">Cell proliferation and migration</td>
<td align="left">
<xref ref-type="bibr" rid="B251">Huang and Tang, (2021)</xref>
</td>
</tr>
<tr>
<td align="left">HOXA11-AS</td>
<td align="left">EZH2; LSD1; DNMT1; miR-1297&#x2014;EZH2</td>
<td align="left">Recruit; ceRNA</td>
<td align="left">PRSS8; KLF2</td>
<td align="left">Gastric cancer</td>
<td align="left">Cell proliferation, migration and apoptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B156">Sun et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00470</td>
<td align="left">miR-101&#x2014;EZH2; miR-101&#x2014;EED</td>
<td align="left">ceRNA</td>
<td align="left">ELFN2</td>
<td align="left">Glioblastoma</td>
<td align="left">Cell autophagy</td>
<td align="left">
<xref ref-type="bibr" rid="B99">Liu et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">SAHH</td>
<td align="left">Interaction</td>
<td align="left">Nctc1; genome wide</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B241">Zhou et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">SAHH</td>
<td align="left">Interaction</td>
<td align="left">HNF4&#x3b1;</td>
<td align="left">Liver of metformin-exposed fetuses</td>
<td align="left">Liver development and function</td>
<td align="left">
<xref ref-type="bibr" rid="B26">Deng et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">SAHH</td>
<td align="left">Interaction</td>
<td align="left">Beclin1</td>
<td align="left">Breast cancer</td>
<td align="left">Autophagy</td>
<td align="left">
<xref ref-type="bibr" rid="B168">Wang et al. (2019c)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">SAHH</td>
<td align="left">Interaction</td>
<td align="left">LINE-1</td>
<td align="left">Lung</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B43">Fu et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">SNHG6</td>
<td align="left">miR-1297&#x2014;MAT2A; MAT1A</td>
<td align="left">ceRNA; subcellular location</td>
<td align="left">Genome wide</td>
<td align="left">Hepatocellular carcinoma</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B51">Guo et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00662</td>
<td align="left">MAT1A; SAHH</td>
<td align="left">Interaction</td>
<td align="left">Genome wide</td>
<td align="left">Hepatocellular carcinoma</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B50">Guo et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">PARTICLE</td>
<td align="left">G9a; SUZ12</td>
<td align="left">Recruit</td>
<td align="left">MAT2A</td>
<td align="left">Breast cancer cell line</td>
<td align="left">Response to irradiation</td>
<td align="left">
<xref ref-type="bibr" rid="B127">O&#x27;Leary et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00261</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">DYPD</td>
<td align="left">Esophageal cancer</td>
<td align="left">5-fluorouracil resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B97">Lin et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">LINC01419</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">GSTP1</td>
<td align="left">Esophageal cancer</td>
<td align="left">5-fluorouracil resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B18">Chen et al. (2019b)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00673</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">KLF4</td>
<td align="left">Prostate cancer</td>
<td align="left">Paclitaxel resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B65">Jiang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00628</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">LAMA3</td>
<td align="left">Lung adenocarcinoma</td>
<td align="left">Vincristine resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B199">Xu et al. (2019b)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00607</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">CASP9</td>
<td align="left">Thyroid cancer</td>
<td align="left">Doxorubicin resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B81">Li et al. (2021a)</xref>
</td>
</tr>
<tr>
<td align="left">91H</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">CDK4</td>
<td align="left">Osteosarcoma</td>
<td align="left">Tumor migration and invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B23">Cheng et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">DNMT3B</td>
<td align="left">Expression</td>
<td align="left">Genome wide</td>
<td align="left">Endometrial cancer; breast cancer</td>
<td align="left">Cell proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B240">Zhong et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td align="left">EZH2; DNMTs</td>
<td align="left">Interaction</td>
<td align="left">ALDH1A1</td>
<td align="left">Ovarian cancer</td>
<td align="left">Spheroid formation and colony-forming</td>
<td align="left">
<xref ref-type="bibr" rid="B175">Wang et al. (2021c)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td align="left">miR-126&#x2014;DNMT1</td>
<td align="left">ceRNA</td>
<td align="left">CDKN2A</td>
<td align="left">Osteosarcoma</td>
<td align="left">Cell viability and apoptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B89">Li et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00240</td>
<td align="left">miR-124-3p&#x2014;DNMT3B</td>
<td align="left">ceRNA</td>
<td align="left">miR-124-3p</td>
<td align="left">Gastric cancer</td>
<td align="left">Cell proliferation, invasion and migration</td>
<td align="left">
<xref ref-type="bibr" rid="B93">Li et al. (2020c)</xref>
</td>
</tr>
<tr>
<td align="left">XIST</td>
<td align="left">miR-149-5p&#x2014;DNMT3A</td>
<td align="left">ceRNA</td>
<td align="left">miR-149-5p</td>
<td align="left">Cartilage</td>
<td align="left">Cell proliferation, apoptotic and ENC degradation</td>
<td align="left">
<xref ref-type="bibr" rid="B105">Liu et al. (2020d)</xref>
</td>
</tr>
<tr>
<td align="left">HOTTIP</td>
<td align="left">miR-101&#x2014;DNMT3B</td>
<td align="left">ceRNA</td>
<td align="left">HoxA13</td>
<td align="left">Cartilage</td>
<td align="left">Cartilage development and destruction</td>
<td align="left">
<xref ref-type="bibr" rid="B74">Kim et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left">IRAIN</td>
<td align="left">DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">VEGFA</td>
<td align="left">Renal carcinoma</td>
<td align="left">Cell proliferation, migration and apoptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B92">Li et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">AS1DHRS4</td>
<td align="left">G9a; EZH2</td>
<td align="left">Recruit</td>
<td align="left">DHRS4L1; DHRS4L2</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B85">Li et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="left">PRKCA-AS1</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">PRKCA</td>
<td align="left">Heart</td>
<td align="left">p38/MAPK pathway</td>
<td align="left">
<xref ref-type="bibr" rid="B191">Xie et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00518</td>
<td align="left">DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">CDX2</td>
<td align="left">Breast cancer</td>
<td align="left">Cell proliferation, invasion, migration and EMT</td>
<td align="left">
<xref ref-type="bibr" rid="B253">Wang et al. (2019b)</xref>
</td>
</tr>
<tr>
<td align="left">RCPCD</td>
<td align="left">DNMT1; DNMT2; DNMT3</td>
<td align="left">Recruit</td>
<td align="left">HCN4</td>
<td align="left">Embryonic stem cells</td>
<td align="left">Differentiation of ESCs into pacemakelike cells</td>
<td align="left">
<xref ref-type="bibr" rid="B248">Zhu et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00313</td>
<td align="left">DNMT1; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">ALX4</td>
<td align="left">Thyroid cancer</td>
<td align="left">AKT/mTOR signaling, cell proliferative, migratory, invasive abilities as well as EMT</td>
<td align="left">
<xref ref-type="bibr" rid="B235">Zhao and Hu, (2019)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00152</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">BRCA1/PTEN</td>
<td align="left">Breast cancer</td>
<td align="left">Tumorigenesis and metastasis</td>
<td align="left">
<xref ref-type="bibr" rid="B183">Wu et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00470</td>
<td align="left">DNMT3A</td>
<td align="left">Recruit</td>
<td align="left">PTEN</td>
<td align="left">Endometrial cancer</td>
<td align="left">Cell invasiveness, migration and angiogenesis, facilitate tumorigenesis and metastasis</td>
<td align="left">
<xref ref-type="bibr" rid="B211">Yi et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00922</td>
<td align="left">DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">NKD2</td>
<td align="left">Breast cancer</td>
<td align="left">Wnt signaling pathway</td>
<td align="left">
<xref ref-type="bibr" rid="B178">Wang et al. (2021d)</xref>
</td>
</tr>
<tr>
<td align="left">LINC01419</td>
<td align="left">DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">ZIC1</td>
<td align="left">Hepatocellular carcinoma</td>
<td align="left">PI3K/Akt signaling pathway, tumor formation and metastasis</td>
<td align="left">
<xref ref-type="bibr" rid="B60">Hou et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">MIR210HG</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">CACNA2D2</td>
<td align="left">Non-small cell lung cancer</td>
<td align="left">Cell proliferation and migration</td>
<td align="left">
<xref ref-type="bibr" rid="B73">Kang et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">SNHG1</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">Bcl-2</td>
<td align="left">Sepsis</td>
<td align="left">Cell inflammation and apoptotic</td>
<td align="left">
<xref ref-type="bibr" rid="B226">Zhang et al. (2022a)</xref>
</td>
</tr>
<tr>
<td align="left">ADAMTS9-AS2</td>
<td align="left">DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">CDH3</td>
<td align="left">Esophageal cancer</td>
<td align="left">Cell proliferation, invasion and migration</td>
<td align="left">
<xref ref-type="bibr" rid="B101">Liu et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">ELFN1-AS1</td>
<td align="left">DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">ZBTB16</td>
<td align="left">Gastric cancer</td>
<td align="left">PI3K/AKT signaling pathway</td>
<td align="left">
<xref ref-type="bibr" rid="B249">Zhuang et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">IGF2-AS</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">IGF2</td>
<td align="left">Breast cancer</td>
<td align="left">PI3K/AKT/mTOR signaling pathway</td>
<td align="left">
<xref ref-type="bibr" rid="B231">Zhang et al. (2021d)</xref>
</td>
</tr>
<tr>
<td align="left">NEAT1</td>
<td align="left">G9a; DNMT1; Snail</td>
<td align="left">Recruit</td>
<td align="left">CDH1</td>
<td align="left">Osteosarcoma</td>
<td align="left">Metastasis <italic>in vitro</italic> and <italic>in vivo</italic>, EMT</td>
<td align="left">
<xref ref-type="bibr" rid="B91">Li and Cheng, (2018)</xref>
</td>
</tr>
<tr>
<td align="left">PCAT-14</td>
<td align="left">DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">miR-372</td>
<td align="left">Hepatocellular carcinoma</td>
<td align="left">Cell proliferation, invasion, cell cycle arrest</td>
<td align="left">
<xref ref-type="bibr" rid="B179">Wang et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">HAGLR</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">E2F1</td>
<td align="left">Lung adenocarcinoma</td>
<td align="left">Cell growth</td>
<td align="left">
<xref ref-type="bibr" rid="B52">Guo et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">XIST</td>
<td align="left">DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">TIMP-3</td>
<td align="left">Cartilage</td>
<td align="left">Collagen degradation</td>
<td align="left">
<xref ref-type="bibr" rid="B17">Chen et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">RAMP2-AS1</td>
<td align="left">DNMT1; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">CXCL11</td>
<td align="left">Breast cancer</td>
<td align="left">Tumor growth</td>
<td align="left">
<xref ref-type="bibr" rid="B80">Li et al. (2022a)</xref>
</td>
</tr>
<tr>
<td align="left">TNRC6C-AS1</td>
<td align="left">DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">STK4</td>
<td align="left">Thyroid cancer</td>
<td align="left">Hippo signaling pathway</td>
<td align="left">
<xref ref-type="bibr" rid="B204">Yang et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">yylncT</td>
<td align="left">DNMT3B</td>
<td align="left">Recruit</td>
<td align="left"/>
<td align="left">Embryo</td>
<td align="left">Embryonic cell fate transition</td>
<td align="left">
<xref ref-type="bibr" rid="B42">Frank et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">SNHG1</td>
<td align="left">DNMT1</td>
<td align="left">Expression</td>
<td align="left">PTBP1</td>
<td align="left">Bone marrow</td>
<td align="left">Adipogenic differentiation and contributed to osteoporosis</td>
<td align="left">
<xref ref-type="bibr" rid="B214">Yu et al. (2022a)</xref>
</td>
</tr>
<tr>
<td align="left">FAS-AS1</td>
<td align="left">DNMT3B</td>
<td align="left">Expression</td>
<td align="left">SIRT1; FAS</td>
<td align="left">Leukemia</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B217">Yuan et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Linc-POU3F3</td>
<td align="left">EZH2; DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">POU3F3</td>
<td align="left">Esophageal squamous cell carcinoma</td>
<td align="left">Cell proliferation and ability to form colonies</td>
<td align="left">
<xref ref-type="bibr" rid="B88">Li et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="left">PVT1</td>
<td align="left">EZH2; DNMT1</td>
<td align="left">Recruit</td>
<td align="left">miR-18b-5p; HIF1A</td>
<td align="left">Gallbladder cancer</td>
<td align="left">Cell proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B68">Jin et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">ROIT</td>
<td align="left">DNMT3A</td>
<td align="left">Ubiquitination</td>
<td align="left">Nkx6.1</td>
<td align="left">Pancreas islet</td>
<td align="left">Glucose homeostasis and insulin transcription</td>
<td align="left">
<xref ref-type="bibr" rid="B222">Zhang et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">Platr10</td>
<td align="left">TET1</td>
<td align="left">Recruit</td>
<td align="left">Oct4</td>
<td align="left"/>
<td align="left">Modulating chromatin architecture</td>
<td align="left">
<xref ref-type="bibr" rid="B33">Du et al. (2021b)</xref>
</td>
</tr>
<tr>
<td align="left">WT1-AS</td>
<td align="left">TET2; TET3; DNMTs</td>
<td align="left">Recruit</td>
<td align="left">WT1</td>
<td align="left">Leukemia</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B115">McCarty and Loeb, (2015)</xref>
</td>
</tr>
<tr>
<td align="left">NEAT1</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">miR-129-5p; WNT4</td>
<td align="left">Breast cancer</td>
<td align="left">WNT signaling</td>
<td align="left">
<xref ref-type="bibr" rid="B106">Lo et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">Evf2</td>
<td align="left">MECP2</td>
<td align="left">Recruit</td>
<td align="left">DLX1/2</td>
<td align="left">Forebrain</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B7">Berghoff et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left">NKILA</td>
<td align="left">NF-&#x3ba;B; DNMT3A</td>
<td align="left">Recruit</td>
<td align="left">KLF4</td>
<td align="left">Vascular endothelium</td>
<td align="left">Endothelium inflammation</td>
<td align="left">
<xref ref-type="bibr" rid="B247">Zhu et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td align="left">DNMT1; DNMT3B; EZH2</td>
<td align="left">Expression</td>
<td align="left">HOXA1</td>
<td align="left">Small cell lung cancer</td>
<td align="left">Multidrug resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B36">Fang et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">ANRIL</td>
<td align="left">EZH2</td>
<td align="left">Recruit</td>
<td align="left">ERRFI1</td>
<td align="left">Cholangiocarcinoma</td>
<td align="left">Cell proliferation and migration</td>
<td align="left">
<xref ref-type="bibr" rid="B215">Yu et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00858</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">WNK2</td>
<td align="left">Colon cancer</td>
<td align="left">Cell apoptosis, autophagy and senescence</td>
<td align="left">
<xref ref-type="bibr" rid="B182">Wu et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">UCA1</td>
<td align="left">EZH2</td>
<td align="left">Recruit</td>
<td align="left">p21</td>
<td align="left">Breast cancer</td>
<td align="left">PI3K/AKT signaling pathway</td>
<td align="left">
<xref ref-type="bibr" rid="B96">Li et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">EZH2</td>
<td align="left">Recruit</td>
<td align="left">BIK</td>
<td align="left">Breast cancer</td>
<td align="left">Paclitaxel (PTX) resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B148">Si et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">AC092723.1</td>
<td align="left">TET1</td>
<td align="left">Recruit</td>
<td align="left">IRF8</td>
<td align="left"/>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B245">Zhou et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td align="left">EZH2</td>
<td align="left">Recruit</td>
<td align="left">E-cadherin</td>
<td align="left">Oral squamous cell carcinoma</td>
<td align="left">Cell invasion, migration and apoptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B189">Wu et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00887</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">CA9</td>
<td align="left">Tongue squamous carcinoma</td>
<td align="left">Suppress oncogenic CA9</td>
<td align="left">
<xref ref-type="bibr" rid="B146">Shen et al. (2021b)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00472</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">MCM6</td>
<td align="left">Breast cancer</td>
<td align="left">Inhibite tumor growth and metastasis</td>
<td align="left">
<xref ref-type="bibr" rid="B144">Shao et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">LINC01270</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">GSTP1</td>
<td align="left">Esophageal cancer</td>
<td align="left">Cell proliferation, migration, invasion and drug resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B83">Li et al. (2021b)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">MTHFR</td>
<td align="left">Esophageal cancer</td>
<td align="left">Cell apoptosis and proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B228">Zhang et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">BZRAP1-AS1</td>
<td align="left">DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">THBS1</td>
<td align="left">Hepatocellular carcinoma</td>
<td align="left">Angiogenesis and tumor growth</td>
<td align="left">
<xref ref-type="bibr" rid="B174">Wang et al. (2019e)</xref>
</td>
</tr>
<tr>
<td align="left">PVT1</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">BNIP3</td>
<td align="left">Gastric cancer</td>
<td align="left">Cell proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B192">Xin et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">SNHG3</td>
<td align="left">EZH2</td>
<td align="left">Recruit</td>
<td align="left">MED18</td>
<td align="left">Gastric cancer</td>
<td align="left">Cell migration and invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B202">Xuan and Wang, (2019)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td align="left">DNMT1; EZH2</td>
<td align="left">Recruit</td>
<td align="left">miR-454-3p</td>
<td align="left">Gastric cancer</td>
<td align="left">Cell apoptosis and autophagy</td>
<td align="left">
<xref ref-type="bibr" rid="B5">Bao et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00630</td>
<td align="left">DNMT3B; EZH2</td>
<td align="left">Recruit</td>
<td align="left">BEX1</td>
<td align="left">Colorectal cancer</td>
<td align="left">Cell apoptosis and radio-resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Liu et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">Lnc34a</td>
<td align="left">DNMT3A; PHB2</td>
<td align="left">Recruit</td>
<td align="left">miR-34a</td>
<td align="left">Colorectal cancer</td>
<td align="left">Cell proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B170">Wang et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">SATB2-AS1</td>
<td align="left">TETs; GADD45A</td>
<td align="left">Recruit</td>
<td align="left">SATB2</td>
<td align="left">Colorectal cancer</td>
<td align="left">Cell metastasis and immune response</td>
<td align="left">
<xref ref-type="bibr" rid="B198">Xu et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">Dali</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">Pou3f3; genome wide</td>
<td align="left">Central nervous system</td>
<td align="left">Cell differentiation</td>
<td align="left">
<xref ref-type="bibr" rid="B16">Chalei et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="left">Dum</td>
<td align="left">DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">Dppa2</td>
<td align="left">Skeletal myoblast cell</td>
<td align="left">Myogenesis</td>
<td align="left">
<xref ref-type="bibr" rid="B171">Wang et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">lincRNA-p21</td>
<td align="left">HNRNPK &#x2013; DNMT1; SETDB1</td>
<td align="left">Recruit</td>
<td align="left">Nanog</td>
<td align="left">Pluripotent stem cell</td>
<td align="left">Cell differentiation</td>
<td align="left">
<xref ref-type="bibr" rid="B6">Bao et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">Kcnq1ot1</td>
<td align="left">DNMT1; EZH2; G9a</td>
<td align="left">Recruit</td>
<td align="left">Kcnq1</td>
<td align="left">Placenta</td>
<td align="left">Gene imprinting</td>
<td align="left">
<xref ref-type="bibr" rid="B120">Mohammad et al. (2010)</xref>
</td>
</tr>
<tr>
<td align="left">THAP9-AS1</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">SOCS3</td>
<td align="left">Osteosarcoma</td>
<td align="left">JAK2/STAT3 signaling</td>
<td align="left">
<xref ref-type="bibr" rid="B206">Yang et al. (2021b)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td align="left">PRC2</td>
<td align="left">Recruit</td>
<td align="left">genome wide</td>
<td align="left">Neuroendocrine prostate cancer</td>
<td align="left">Metastatic</td>
<td align="left">
<xref ref-type="bibr" rid="B149">Singh et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">KCNQ1OT1</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">PTEN</td>
<td align="left">Triple negative breast cancer</td>
<td align="left">Cell proliferation, invasion, and migration</td>
<td align="left">
<xref ref-type="bibr" rid="B145">Shen et al. (2021a)</xref>
</td>
</tr>
<tr>
<td align="left">KCNQ1OT1</td>
<td align="left">DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">EIF2B5</td>
<td align="left">Ovarian cancer</td>
<td align="left">Metastasis</td>
<td align="left">
<xref ref-type="bibr" rid="B57">He et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">KAT7</td>
<td align="left">DNMTs</td>
<td align="left">Recruit</td>
<td align="left">miR-10a</td>
<td align="left">Non-small cell lung cancer</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B47">Gao et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">SNHG3</td>
<td align="left">miR-448&#x2014;DNMT1</td>
<td align="left">ceRNA</td>
<td align="left">SEPT9</td>
<td align="left">Gastric cancer</td>
<td align="left">Cell growth, metastasis</td>
<td align="left">
<xref ref-type="bibr" rid="B87">Li et al. (2022d)</xref>
</td>
</tr>
<tr>
<td align="left">KIF9-AS1</td>
<td align="left">DNMT1</td>
<td align="left">Recruit</td>
<td align="left">RAI2</td>
<td align="left">Hepatocellular carcinoma</td>
<td align="left">Cell proliferation, migration, apoptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B216">Yu et al. (2022b)</xref>
</td>
</tr>
<tr>
<td align="left">PVT1</td>
<td align="left">EZH2; DNMT1</td>
<td align="left">Recruit</td>
<td align="left">ZBP1</td>
<td align="left">Liver cell</td>
<td align="left">Response to nonylphenol</td>
<td align="left">
<xref ref-type="bibr" rid="B135">Qiannan et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">ZFAS1</td>
<td align="left">DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">Notch1</td>
<td align="left">Myocardial ischemia-reperfusion injury</td>
<td align="left">Apoptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B82">Li et al. (2022b)</xref>
</td>
</tr>
<tr>
<td align="left">UCA1</td>
<td align="left">EZH2; DNMT1</td>
<td align="left">Recruit</td>
<td align="left">APAF1</td>
<td align="left">Myocardial ischemia-reperfusion injury</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B67">Jin et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">LINC01270</td>
<td align="left">DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">LAMA2</td>
<td align="left">Breast cancer</td>
<td align="left">MAPK signaling pathway</td>
<td align="left">
<xref ref-type="bibr" rid="B86">Li et al. (2022c)</xref>
</td>
</tr>
<tr>
<td align="left">UCA1</td>
<td align="left">DNMT1; DNMT3A; DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">METTL14</td>
<td align="left">Breast cancer</td>
<td align="left">Cell proliferation, invasion, metastasis</td>
<td align="left">
<xref ref-type="bibr" rid="B232">Zhao et al. (2022a)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Long non-coding RNAs interact with ten-eleven translocation enzymes</title>
<p>DNMTs are responsible for catalyzing the conversion of cytosine to 5-mC whereas TET enzymes catalyze the successive conversion of 5mC to 5-hydroxymethylcytosine (5hmC), 5-formylcytosine (5fC), and 5-carboxylcytosine (5caC) to promote locus-specific removal of methylation. DNA demethylation can be achieved either as a process in the absence of functional DNA methylation maintenance mechanism during DNA replication or through TET-mediated 5mC oxidation. In this case, regulation to TET family affects the methylation level of downstream genes as well. Studies have discovered many lncRNAs interact with TETs to regulate methylation process (<xref ref-type="table" rid="T2">Table 2</xref>). For example, lncRNA <italic>MAGI2-AS3</italic> (MAGI2 antisense RNA 3) which is transcribed from the antisense strand near the <italic>MAGI2</italic>, acts as cis-acting factor to downregulate the DNA methylation level of the <italic>MAGI2</italic> promoter by interaction with TET1 and promotes apoptosis by activating the Fas/FasL signaling pathway in breast cancer (<xref ref-type="bibr" rid="B201">Xu et al., 2021</xref>). In AML, <italic>MAGI2-AS3</italic> recruits TET2 to the <italic>LRIG1</italic> promoter region in <italic>trans</italic> and causes DNA demethylation of <italic>LRIG1</italic>. Downregulation of <italic>MAGI2-AS3</italic> suppresses the self-renewal capacity of leukemic stem cell by promoting <italic>LRIG1</italic> expression (<xref ref-type="bibr" rid="B19">Chen et al., 2020</xref>). LncRNAs are also found to recruit TET enzymes in an indirect mode. The lncRNA <italic>TARID</italic> (TCF21 antisense RNA inducing demethylation) could interact with both the <italic>TCF21</italic> promoter and GADD45A protein, whereas GADD45A in turn recruits TET1 to activate the expression of <italic>TCF21</italic> (<xref ref-type="bibr" rid="B2">Arab et al., 2014</xref>). The authors further show that <italic>TARID</italic> combine to <italic>TCF21</italic> promoter to form an R-loop of DNA&#x2013;RNA hybrids, which is recognized by GADD45A and then triggers TET1-dependent DNA demethylation (<xref ref-type="bibr" rid="B1">Arab et al., 2019</xref>).</p>
<p>TETs are also found to be regulated by lncRNAs at the transcriptional, posttranscriptional, and protein expression levels. In cervical cancer, the <italic>HOTAIR</italic> could regulate <italic>TET1</italic> expression, which leads to promoter hypermethylation of Wnt/&#x3b2;-catenin signaling related genes. In Hela cells, upregulated <italic>HOTAIR</italic> leads to the decreased <italic>TET1</italic> expression, which is associated with the transcriptional activity of Wnt/&#x3b2;-catenin pathway genes, such as <italic>PCDH10</italic>, <italic>SOX17</italic>, <italic>AJAP1</italic>, and <italic>MAGI2</italic> (<xref ref-type="bibr" rid="B141">Salmeron-Barcenas et al., 2019</xref>). At the posttranscriptional level, <italic>TET1</italic> is found to be regulated by lncRNA <italic>H19 via</italic> miRNA let-7 with ceRNA mode, <italic>TET1</italic> expression alteration due to upregulation of <italic>H19</italic> promotes TGF-&#x3b2; signaling related endothelial&#x2013;mesenchymal transition in endothelial cells of atherosclerotic coronary arteries (<xref ref-type="bibr" rid="B14">Cao et al., 2020</xref>). A similar observation was found for <italic>TET3</italic> in uterine leiomyomas, a <italic>H19</italic>&#x2014;let-7&#x2014;<italic>TET3</italic> axis was identified for methylation regulation of fibroid-promoting gene and to drive proliferation of leiomyoma cells (<xref ref-type="bibr" rid="B15">Cao et al., 2019</xref>). At the protein expression level, a multifunctional lncRNA <italic>TETILA</italic> was found in diabetic skin that play a key role in wound healing. <xref ref-type="bibr" rid="B242">Zhou et al. (2019a)</xref> indicated this lncRNA could regulate TET2 stability through the ubiquitin-proteasome pathway and also promote TET2 nuclear translocation. In addition, <italic>TETILA</italic> also acts as a scaffold to recruit thymine-DNA glycosylase (TDG), which simultaneously interacts with TET2 at the promoter of <italic>MMP-9</italic> for its demethylation and transcriptional activation.</p>
</sec>
<sec id="s3-3">
<title>Long non-coding RNAs interact with other epigenetic factors</title>
<p>One of the most intriguing observations have recently emerged in epigenetics is the subtle crosstalk between DNA methylation and other epigenetic modifications. Accumulating literature has revealed complex mechanisms underlying the interplay between DNA methylation and histone modification. Many partners of DNMTs have been found that involved in both of the DNA methylation and histone modification. In addition, DNA methylation status within genome present concomitant presence with other repressive marks, such as histone deacetylation. For example, HDAC1 has the ability to bind DNMT1, the histone deacetylase activity is required for DNMT1 related DNA methylation maintenance in heterochromatin (<xref ref-type="bibr" rid="B44">Fuks et al., 2000</xref>). DNMTs have also been identified to interact with G9a, which is responsible for mono-, di-and slowly trimethylation of histone H3 lysine 9 (H3K9). This interaction has been shown to play a role in the establishment of DNA methylation pattern for key genes in ES cells (<xref ref-type="bibr" rid="B193">Xin et al., 2003</xref>; <xref ref-type="bibr" rid="B34">Esteve et al., 2006</xref>). In addition, the PRC2 system, which has histone methyltransferase activity for H3K27me3, is connected to DNA methylation related gene silencing at specific loci. The PRC2 core component EZH2-dependent recruitment of DNMT3A was found to be associated with H3K27me3 and DNA methylation (<xref ref-type="bibr" rid="B66">Jin et al., 2009</xref>; <xref ref-type="bibr" rid="B139">Rush et al., 2009</xref>; <xref ref-type="bibr" rid="B252">Li et al., 2021c</xref>). This explains how lncRNAs interact with epigenetic factors to regulate DNA methylation at particular loci (<xref ref-type="fig" rid="F3">Figure 3A</xref>). For instance, the <italic>PYCARD-AS1</italic>, which is antisense to the pro-apoptotic gene <italic>PYCARD</italic>, functions to induce DNA methylation and H3K9me2 modification of <italic>PYCARD</italic> promoter by recruiting the chromatin-suppressor proteins G9a and DNMT1 in breast cancer (<xref ref-type="bibr" rid="B119">Miao et al., 2019</xref>). Another example is the lncRNA <italic>KCNQ1OT1</italic>, which binds and recruits the heterochromatin protein HP1&#x3b1;, and finally lead to DNA methylation and H3K9me3 modification in the genome. One repeat-rich region within <italic>KCNQ1OT</italic>1 is identified mainly responsible for Hoogsteen base pairing with double-stranded DNA, by which to fulfill the function of protein recruitment. This observation demonstrates an example for lncRNA to induce and maintain epigenetic silencing at repetitive DNA elements, in order to safeguard against genome instability (<xref ref-type="bibr" rid="B229">Zhang et al., 2022</xref>). In pancreatic cancer, the upregulated <italic>LINC01133</italic> was found to recruit EZH2 to for histone methylation and also to promote the promoter methylation of <italic>DKK1</italic>, thus activate Wnt signaling (<xref ref-type="bibr" rid="B181">Weng et al., 2019</xref>). LncRNA <italic>HOXB13-AS1</italic> is found upregulated in glioma and negatively correlated with its surrounding gene <italic>HOXB13</italic>, this lncRNA could increase DNMT3B-mediated methylation of <italic>HOXB13</italic> promoter by binding with EZH2 (<xref ref-type="bibr" rid="B194">Xiong et al., 2018</xref>). Similar examples include the regulation of <italic>LZTS1</italic> by <italic>lnc-LALC</italic> during liver metastasis of colorectal cancer (<xref ref-type="bibr" rid="B219">Zhang et al., 2021</xref>), regulation of <italic>CXXC4</italic> and <italic>SFRP2</italic> by <italic>LUCAT1</italic> in gastric cancer (<xref ref-type="bibr" rid="B11">Byun et al., 2020</xref>). In addition, lncRNA could also regulate promoter methylation of miRNA genes by interacting EZH2. For instance, lncRNA <italic>SNHG22</italic> was found to recruit DNMT1 to miR-16-5p DNA promoter through EZH2 and inhibited miR-16-5p transcription <italic>via</italic> DNA methylation (<xref ref-type="bibr" rid="B230">Zhang et al., 2021c</xref>). LncRNA <italic>GIHCG</italic> physically associates with EZH2 and recruits EZH2 and DNMT1 to promoter regions of the miR-200b/a/429, which lead to changes of H3K27me3 and DNA methylation levels in the miR-200b/a/429 promoter, and dramatically silences their expression (<xref ref-type="bibr" rid="B154">Sui et al., 2016</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Detailed mechanism for DNA methylation regulation by lncRNAs in indirect mode. <bold>(A)</bold>. LncRNAs interact with other epigenetic factors, such as EZH2, to affect methylation level of downstream genes; <bold>(B)</bold>. LncRNAs interfere with DNMT functions by interacting with S-adenosylmethionine related pathway.</p>
</caption>
<graphic xlink:href="fmolb-09-1067406-g003.tif"/>
</fig>
<p>It is worth noting that many miRNAs regulated by lncRNA through promoter DNA methylation are also found to regulate the upstream lncRNAs or other epigenetic factors, by which a feedback loop formed to control the internal gene expression. For example, lncRNA <italic>SChLAP1</italic> was found to recruit EZH2 and DNMT3A to repress multiple miRNA expression in prostate cancer, including the miR-340-5p/miR-143-3p/miR-145-5p, these miRNAs in turn regulate <italic>DNMT3A</italic> expression (<xref ref-type="bibr" rid="B251">Huang and Tang, 2021</xref>). In gastric cancer, EZH2 along with the histone demethylase <italic>LSD1</italic> and <italic>DNMT1</italic> were recruit by the lncRNA <italic>HOXA11-AS</italic>, this lncRNA also acts as sponge for miR-1297, antagonizing its ability to repress <italic>EZH2</italic> protein translation (<xref ref-type="bibr" rid="B156">Sun et al., 2016</xref>). In glioblastoma, <italic>LINC00470</italic> could enhance the expression of <italic>ELFN2</italic> through adsorption of miR-101, and also affect the methylation level of ELFN2 by decreasing H3K27me3 occupancy (<xref ref-type="bibr" rid="B99">Liu et al., 2018</xref>). The above examples indicate that lncRNAs are able to control genes at the transcriptional level or post-transcriptional level through a variety of different mechanisms to achieve accurate regulation of expression levels for downstream target genes.</p>
</sec>
<sec id="s3-4">
<title>Long non-coding RNAs interact with S-adenosylmethionine related pathway</title>
<p>All DNA methyltransferases are known to use S-adenosylmethionine (SAM) as the methyl donor and generate S-adenosylhomocysteine (SAH) as by-product. The methyl donor SAM is synthesized from ATP and methionine by the methionine adenosyltransferase (MAT) (<xref ref-type="bibr" rid="B109">Lu and Mato, 2012</xref>), whereas SAH could be eliminated by S-adenosylhomocysteine hydrolase (SAHH), SAH also acts as feedback inhibitor of DNMTs (<xref ref-type="bibr" rid="B111">Lyko, 2018</xref>). Regulation on the genes involved SAM synthesis or SAH degradation by lncRNAs may lead to malfunction of DNMTs to interference DNA methylation (<xref ref-type="fig" rid="F3">Figure 3B</xref>). The <italic>H19</italic> for instance, could bind to SAHH and inhibits its function of SAH hydrolyzing, then give rise to genome-wide methylation alteration (<xref ref-type="bibr" rid="B241">Zhou et al., 2015</xref>). This mechanism was further observed in liver of metformin-exposed fetuses to induce hypomethylation and increased expression of <italic>HNF4&#x3b1;</italic> (<xref ref-type="bibr" rid="B26">Deng et al., 2017</xref>), and also in tamoxifen-resistant breast cancer to induce the upregulation of <italic>Beclin1</italic> (<xref ref-type="bibr" rid="B168">Wang et al., 2019c</xref>), as well as in human lung tissue to regulate the <italic>LINE-1</italic> methylation (<xref ref-type="bibr" rid="B43">Fu et al., 2018</xref>).</p>
<p>Interference to MAT may result in the alteration of the SAM concentration and disturbance of DNA methylation process. This has been confirmed by the interaction between lncRNA <italic>SNHG6</italic> and MAT family members of <italic>MAT1A</italic> and <italic>MAT2A</italic>. On one hand, <italic>SNHG6</italic> was found to upregulate <italic>MAT2A</italic> expression by act as sponge for miR-1297, on another hand, this lncRNA also downregulate <italic>MAT1A</italic> translation by suppressing the nucleus-cytoplasmic shuttling of <italic>MAT1A</italic> mRNA, thereby regulate genome wide methylation in hepatoma cells of HCC (<xref ref-type="bibr" rid="B51">Guo et al., 2018</xref>). Another lncRNA <italic>LINC00662</italic> was identified to induce decay of <italic>MAT1A</italic> mRNA and also the degradation of SAHH protein by ubiquitination mechanism, in this way to reduce SAM and enhance SAH levels, which finally leads to global hypomethylation (<xref ref-type="bibr" rid="B50">Guo et al., 2020</xref>). It is worth mentioning a dual functional lncRNA <italic>PARTICLE</italic> in response to low-dose irradiation. Over expressed <italic>PARTICLE</italic> upon irradiation recruits the PRC2 to the promoter region of <italic>MAT2A</italic> in a DNA-RNA triplex form, in this way to regulate <italic>MAT2A</italic> expression <italic>via</italic> methylation. The altered expression level of <italic>MAT2A</italic> lead to changed concentration of SAM, which further influence the methylation level of downstream genes (<xref ref-type="bibr" rid="B127">O&#x27;Leary et al., 2015</xref>) (<xref ref-type="fig" rid="F3">Figures 3A,B</xref>). This triplex-mediated expression regulation based on interaction between lncRNA <italic>PARTICLE</italic> and DNA strand was further proved to be widespread in the human genome (<xref ref-type="bibr" rid="B128">O&#x27;Leary et al., 2017</xref>). In summary, these studies indicate that lncRNAs could regulate methylation level of downstream genes by regulating the SAM related pathway genes.</p>
</sec>
<sec id="s3-5">
<title>Implications of long non-coding RNA mediated DNA methylation in drug treatment of cancer</title>
<p>Studies have indicated that lncRNAs could modulate gene for degradation and/or elimination of endogenous and exogenous toxins or medicines, by which they are able to exert their effects on drug metabolism and response to treatment (<xref ref-type="table" rid="T2">Table 2</xref>). For example, <italic>LINC00261</italic> was found to recruit DNMTs to the promoter of the dihydropyrimidine dehydrogenase (<italic>DYPD</italic>), which is mainly responsible for 5-fluorouracil (5-FU) degradation. Increased <italic>LINC00261</italic> promotes the methylation level within the <italic>DPYD</italic> promoter region and leads to its downregulation in esophageal cancer. As a result, 5-FU degradation is inhibited, finally results in an elevated sensitivity to 5-FU of the cancer cell (<xref ref-type="bibr" rid="B97">Lin et al., 2019</xref>). Similar observations were also found for the effect of <italic>LINC01419</italic>-<italic>GSTP1</italic> regulation in esophageal cancer (<xref ref-type="bibr" rid="B18">Chen et al., 2019</xref>). In prostate cancer, regulation of <italic>KLF4</italic> promoter methylation by <italic>LINC00673</italic> is associated with paclitaxel resistance (<xref ref-type="bibr" rid="B65">Jiang et al., 2020</xref>). In lung adenocarcinoma, vincristine resistance is meditated by promoter methylation of <italic>LAMA3</italic> induced by <italic>LINC00628</italic> (<xref ref-type="bibr" rid="B199">Xu et al., 2019</xref>). In thyroid cancer, <italic>LINC00607</italic> mediates doxorubicin resistance through the regulation of <italic>CASP9</italic> methylation (<xref ref-type="bibr" rid="B81">Li et al., 2021</xref>). These observations lead to the thought that the chemical drug effectiveness can be improved for better treatment by regulating the expression level of these lncRNAs.</p>
<p>Another possible direction for cancer treatment is to interfere with lncRNAs involved in DNA methylome regulation by using gene editing methods. One example is the lncRNA <italic>91H</italic> which is reasonable for inducing methylation of <italic>CDK4</italic> promoter, knockdown of this lncRNA could suppress the tumorigenesis of osteosarcoma (<xref ref-type="bibr" rid="B23">Cheng et al., 2021</xref>). Some small molecules directly interfering lncRNAs responsible for methylation regulation could also be efficient treatment targets. For instance, metformin was found to induce <italic>H19</italic> repression and the genome-wide DNA methylation alterations by modulating the activity of <italic>H19&#x2014;</italic>SAHH axis, this observation provides a novel explanation for the mechanism and function of the metformin for the epigenetic regulation effect in cancer (<xref ref-type="bibr" rid="B240">Zhong et al., 2017</xref>). In addition, some chemical compound that interrupts the <italic>HOTAIR&#x2014;</italic>EZH2 interaction are found to inhibit cancer cell invasion and migration, which was thought to be a potential approach for targeted therapy of cancers (<xref ref-type="bibr" rid="B136">Ren et al., 2019</xref>; <xref ref-type="bibr" rid="B175">Wang et al., 2021</xref>). In summary, lncRNAs involved in DNA methylation regulation are promising targets for applications in cancer therapy. Representative lncRNAs currently identified that are involved in DNA methylation regulation, and the associated cofactors, interaction mode, as well as target genes are listed in <xref ref-type="table" rid="T2">Table 2</xref>. This comprehensive summary revealed us a complex interaction network based on epigenetic regulatory mechanisms that remains to be further explored. In-depth analysis of non-coding RNA and other epigenetic regulatory elements including DNA methylation at the systemic level will help us to reveal the underlying mechanisms of tumor development and development, thus providing a new perspective for personalized tumor therapy.</p>
</sec>
<sec id="s3-6">
<title>Role of circular RNAs in DNA methylation regulation</title>
<p>In recent years, circRNAs have been revealed for their crucial role during the onset and progression of human disease by their important regulatory effect. The capacity of circRNAs interact with proteins involved in epigenetic modification manifests itself the ability for the transcriptional regulation on target genes (<xref ref-type="table" rid="T3">Table 3</xref>). Examples include a circRNA termed <italic>ACR</italic> (autophagy related circular RNA), which directly binds to DNMT3B and block DNMT3B-mediated DNA methylation of <italic>Pink1</italic> promoter. <italic>Pink1</italic> further brings about phosphorylation of the downstream target <italic>FAM65B</italic>, and finally inhibits autophagy and cell death in the heart (<xref ref-type="bibr" rid="B243">Zhou et al., 2019</xref>). An exosome derived circRNA <italic>circ_6790</italic> from bone marrow mesenchymal stem cell was found to increase the nuclear translocation of CBX7, by this indirect interaction mode to recruit DNMTs and induce the methylation of <italic>S100A11</italic> in pancreatic ductal adenocarcinoma (<xref ref-type="bibr" rid="B46">Gao et al., 2022</xref>). Many circRNAs are found to regulate the expression level of DNMT genes and finally influence the downstream target methylation. For example, <italic>hsa_circ_0012919</italic> is downregulated in CD4<sup>&#x2b;</sup> T cells of systemic lupus erythematous (SLE) and results in the increased the expression of DNMT1 and finally leads to the hypermethylation of <italic>CD70</italic> and <italic>CD11a</italic> (<xref ref-type="bibr" rid="B220">Zhang et al., 2018</xref>). A similar example is the <italic>circ-Amotl1</italic>, which interacts with STAT3 and facilitate its nuclear translocation and the binding to the promoter of <italic>DNMT3A</italic> gene, the activated <italic>DNMT3A</italic> further induce miR-17 promoter methylation and decrease its expression (<xref ref-type="bibr" rid="B208">Yang et al., 2017</xref>). In addition, a multi-functional circRNA was found that regulate downstream methylation by different mechanisms. The circRNA derived from <italic>FLI1</italic> termed <italic>FECR1</italic> is able to recruit TET1 to the promoter of the host gene and lead to the hypomethylation <italic>in cis</italic>, in addition, this circRNA could also bind to the <italic>DNMT1</italic> promoter, where it downregulates <italic>DNMT1</italic> transcription <italic>in trans</italic>. In this manner, this circRNA regulator controls tumor growth and metastasis of breast cancer (<xref ref-type="bibr" rid="B20">Chen et al., 2018</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Representative circRNAs that regulate DNA methylation of other genes in cancers and other disease.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">CircRNA name</th>
<th align="left">Cofactor</th>
<th align="left">Interaction mode</th>
<th align="left">Target</th>
<th align="left">Tissue/disease</th>
<th align="left">Function</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">ACR</td>
<td align="left">DNMT3B</td>
<td align="left">Recruit</td>
<td align="left">Pink1</td>
<td align="left">Myocardial ischemia/infarction</td>
<td align="left">Autophagy</td>
<td align="left">
<xref ref-type="bibr" rid="B243">Zhou et al. (2019b)</xref>
</td>
</tr>
<tr>
<td align="left">Circ_6790</td>
<td align="left">CBX7&#x2014;DNMTs</td>
<td align="left">Recruit</td>
<td align="left">S100A11</td>
<td align="left">Pancreatic ductal adenocarcinoma</td>
<td align="left">Cell proliferation, apoptosis, metastasis, immune escape</td>
<td align="left">
<xref ref-type="bibr" rid="B46">Gao et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Hsa_circ_001291</td>
<td align="left">DNMT1</td>
<td align="left">Expression</td>
<td align="left">CD11a; CD70</td>
<td align="left">Systemic lupus erythematosus</td>
<td align="left"/>
<td align="left">
<xref ref-type="bibr" rid="B220">Zhang et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Circ-Amotl1</td>
<td align="left">STAT3&#x2014;DNMT3A</td>
<td align="left">Expression</td>
<td align="left">miR-17-5p</td>
<td align="left">Wound healing</td>
<td align="left">Cell adhesion, migration, proliferation, wound repair</td>
<td align="left">
<xref ref-type="bibr" rid="B208">Yang et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">FECR1</td>
<td align="left">TET1; DNMT1</td>
<td align="left">Recruit; expression</td>
<td align="left">FLI1; SERTED2</td>
<td align="left">Breast cancer</td>
<td align="left">Tumor invasion, metastasis</td>
<td align="left">
<xref ref-type="bibr" rid="B20">Chen et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Circ_0040809</td>
<td align="left">miR-515-5p&#x2014;DNMT1</td>
<td align="left">ceRNA</td>
<td align="left"/>
<td align="left">Colorectal cancer</td>
<td align="left">Cell proliferation, migration, apoptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B114">Mao et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">CircSOD2</td>
<td align="left">miR-502-5p&#x2014;DNMT3A</td>
<td align="left">ceRNA</td>
<td align="left">SOCS3</td>
<td align="left">Hepatocellular carcinoma</td>
<td align="left">JAK2/STAT3 signaling</td>
<td align="left">
<xref ref-type="bibr" rid="B236">Zhao et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">CircMEMO1</td>
<td align="left">miR-106b-5p&#x2014;TET1</td>
<td align="left">ceRNA</td>
<td align="left">TCF21</td>
<td align="left">Hepatocellular carcinoma</td>
<td align="left">Cell proliferation, invasion, metastasis, EMT, sorafenib sensitivity</td>
<td align="left">
<xref ref-type="bibr" rid="B30">Dong et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">CircTRIM33&#x2013;12</td>
<td align="left">miR-191&#x2014;TET1</td>
<td align="left">ceRNA</td>
<td align="left">WWC3; TP53INP1; ULBP1; JHDM1D</td>
<td align="left">Hepatocellular carcinoma</td>
<td align="left">Cell proliferation, migration, invasion, immune evasion</td>
<td align="left">
<xref ref-type="bibr" rid="B225">Zhang et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">CircIBTK</td>
<td align="left">miR-29b</td>
<td align="left">&#x2014;</td>
<td align="left">Genome wide</td>
<td align="left">Systemic lupus erythematosus</td>
<td align="left">AKT signaling</td>
<td align="left">
<xref ref-type="bibr" rid="B225">Zhang et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">Circ-ATAD1</td>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">miR-34b</td>
<td align="left">Acute myeloid leukemia</td>
<td align="left">Cell proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B188">Wu et al. (2021b)</xref>
</td>
</tr>
<tr>
<td align="left">Circ-ATAD1</td>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">miR-10a</td>
<td align="left">Endometrial cancer</td>
<td align="left">Cell invasion, migration</td>
<td align="left">
<xref ref-type="bibr" rid="B205">Yang et al. (2021a)</xref>
</td>
</tr>
<tr>
<td align="left">CircFAT1</td>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">miR-21</td>
<td align="left">Endometrial cancer</td>
<td align="left">Cell stemness increase</td>
<td align="left">
<xref ref-type="bibr" rid="B186">Wu et al. (2021a)</xref>
</td>
</tr>
<tr>
<td align="left">CircSEPT9</td>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">miR-186</td>
<td align="left">Endometrial cancer</td>
<td align="left">Cell invasion, migration</td>
<td align="left">
<xref ref-type="bibr" rid="B53">Guo et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">CircRIMS</td>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">miR-613</td>
<td align="left">Esophageal squamous cell carcinoma</td>
<td align="left">Cell proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B166">Wan et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">CircSKA3</td>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">miR-1</td>
<td align="left">Glioblastoma</td>
<td align="left">Cell proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B244">Zhou et al. (2021a)</xref>
</td>
</tr>
<tr>
<td align="left">CircFADS2</td>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">miR-195-5p</td>
<td align="left">Osteoarthritis</td>
<td align="left">Apoptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B223">Zhang et al. (2021b)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The ceRNA mechanism is also widely involved in the processes of methylation regulation by circRNAs. For example, <italic>hsa_circ_0040809</italic> regulates cell proliferation of colorectal cancer by upregulating <italic>DNMT1 via</italic> targeting miR-515-5p (<xref ref-type="bibr" rid="B114">Mao et al., 2021</xref>). Another example is from HCC, the <italic>circSOD2</italic> was activated by promoter modification of H3K27ac and H3K4me3, the activated <italic>circSOD2</italic> inhibits miR-502-5p expression and rescues miR-502-5p target gene <italic>DNMT3A</italic> expression (<xref ref-type="bibr" rid="B236">Zhao et al., 2020</xref>). Similar observations include the <italic>circMEMO1</italic>&#x2014;miR-106b-5p&#x2014;<italic>TET1</italic> axis (<xref ref-type="bibr" rid="B30">Dong et al., 2021</xref>) and <italic>circTRIM33&#x2013;12</italic>&#x2014;miR-191&#x2014;<italic>TET1</italic> axis (<xref ref-type="bibr" rid="B225">Zhang et al., 2019</xref>), which play key roles for controlling cell proliferation, migration and immune evasion. This ceRNA mechanism for downstream target methylation regulation was also found during SLE development (<xref ref-type="bibr" rid="B177">Wang et al., 2018</xref>). Interestingly, miRNA genes are also found to be the methylation targets of circRNA regulators. For instance, the <italic>circ-ATAD1</italic> leads to miR-34b gene methylation in AML to increase the cell proliferation (<xref ref-type="bibr" rid="B188">Wu et al., 2021</xref>). This very circRNA was found to regulate miR-10a gene methylation in endometrial cancer (<xref ref-type="bibr" rid="B205">Yang et al., 2021</xref>). Other similar examples are also identified in many types of diseases (<xref ref-type="table" rid="T3">Table 3</xref>) (<xref ref-type="bibr" rid="B186">Wu et al., 2021</xref>; <xref ref-type="bibr" rid="B244">Zhou et al., 2021</xref>; <xref ref-type="bibr" rid="B223">Zhang et al., 2021</xref>; <xref ref-type="bibr" rid="B166">Wan et al., 2021</xref>; <xref ref-type="bibr" rid="B53">Guo et al., 2022</xref>). However, the detailed mechanism on how circRNA influence the methylation of miRNA gene promoters are largely unknown and remains to be further investigation.</p>
</sec>
</sec>
<sec id="s4">
<title>Concluding remarks</title>
<p>One of the major findings in cancer epigenetics is that genes encoding lncRNAs and circRNAs are widely connected with DNA methylome regulation in tumorigenesis. First of all, lncRNAs as well as circRNAs could be targets of DNA methylation regulation bases on the canonical epigenetic regulatory mechanism. Aberrant methylation changes at lncRNA and circRNA promoters are widely observed in a variety of physiological and pathological circumstances. Studies have identified the lncRNAs and circRNAs whose transcriptional deviation are associated with aberrant promoter methylation (<xref ref-type="bibr" rid="B110">Lujambio et al., 2010</xref>; <xref ref-type="bibr" rid="B122">Morenos et al., 2014</xref>; <xref ref-type="bibr" rid="B9">Boque-Sastre et al., 2015</xref>; <xref ref-type="bibr" rid="B107">Lu et al., 2020</xref>; <xref ref-type="bibr" rid="B132">Pangeni et al., 2022</xref>). On the other hand, lncRNAs and circRNAs could also regulate DNA methylation level of target genes by interaction with DNMTs or other genes involved in this process, either directly or indirectly. The study of the lncRNA-DNAm interactions has shifted our understanding of gene expression and regulation. LncRNAs usually do not function alone, but by interaction with proteins or other biomolecules to play a regulatory role in different biological processes (<xref ref-type="bibr" rid="B160">Teng et al., 2020</xref>; <xref ref-type="bibr" rid="B169">Wang et al., 2021</xref>). As a rapid way for gene expression regulation, impact on target genes by lncRNAs by re-shaping the epigenome is an effective approach to adjust cell function, through which cells can respond to diverse stimuli rapidly. Given the diversity and tissue specificity of their expression pattern, lncRNAs and circRNAs taking part in multiple cellular regulatory networks have revealed their importance in various physiological processes, and also the implications in cancer. Indeed, by using a systems biology approach, we have revealed lncRNAs that constitute master regulators of the DNA methylome in pan-cancer wide, which implicated in regulating the DNA methylation and expression levels of key genes involved in cancer development as targets (<xref ref-type="bibr" rid="B209">Yang et al., 2021</xref>). It is likely that lncRNAs and circRNAs establish an additional layer for transcriptional and posttranscriptional regulation defined by epigenetic landscape, which leads to reconsideration of our concept about epigenetics. As summarized in this review, evidences of the regulatory networks among lncRNAs and DNA methylation in human diseases are increasing rapidly, although many important questions regarding detailed mechanism on lncRNA regulatory complexity remain to be solved. In this context, lncRNAs could be exploited not only as specific biomarkers for early diagnosis and prognosis, but also for combined epigenetic targeting of personalized treatment of cancer.</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Author contributions</title>
<p>ZY designed the study and wrote the main manuscript text. FX prepared figures. AT edited the manuscript. YZ, LY, JL, and YH collected data. All authors read and approved the final manuscript.</p>
</sec>
<sec id="s6">
<title>Funding</title>
<p>This work is supported by National Natural Science Foundation of China (91959106, 31871255), Shanghai Municipal Science and Technology (2017SHZDZX01) and the Project of Science and Technology Department of Sichuan Provincial of China (2019JDJQ0035).</p>
</sec>
<sec sec-type="COI-statement" id="s7">
<title>Conflict of interest</title>
<p>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.</p>
</sec>
<sec sec-type="disclaimer" id="s8">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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