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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell Dev. Biol.</journal-id>
<journal-title>Frontiers in Cell and Developmental Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell Dev. Biol.</abbrev-journal-title>
<issn pub-type="epub">2296-634X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">813581</article-id>
<article-id pub-id-type="doi">10.3389/fcell.2022.813581</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cell and Developmental Biology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Interplay Between m<sup>6</sup>A RNA Methylation and Regulation of Metabolism in Cancer</article-title>
<alt-title alt-title-type="left-running-head">Mobet et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">m<sup>6</sup>A Methylation in Cancer Metabolism</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Mobet</surname>
<given-names>Youchaou</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1554932/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Xiaoyi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1105183/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Tao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yu</surname>
<given-names>Jianhua</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1128048/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yi</surname>
<given-names>Ping</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/985587/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Obstetrics and Gynecology</institution>, <institution>The Third Affiliated Hospital of Chongqing Medical University</institution>, <addr-line>Chongqing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Laboratory of Biochemistry</institution>, <institution>Faculty of Science</institution>, <institution>University of Douala</institution>, <addr-line>Douala</addr-line>, <country>Cameroon</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Hematology and Hematopoietic Cell Transplantation</institution>, <institution>City of Hope National Medical Center</institution>, <addr-line>Los Angeles</addr-line>, <addr-line>CA</addr-line>, <country>United&#x20;States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Hematologic Malignancies and Stem Cell Transplantation Institute</institution>, <institution>City of Hope National Medical Center</institution>, <addr-line>Los Angeles</addr-line>, <addr-line>CA</addr-line>, <country>United&#x20;States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Comprehensive Cancer Center</institution>, <institution>City of Hope</institution>, <addr-line>Los Angeles</addr-line>, <addr-line>CA</addr-line>, <country>United&#x20;States</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/1034555/overview">Huilin Huang</ext-link>, Sun Yat-sen University Cancer Center (SYSUCC), China</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/1045019/overview">Jiangbo Wei</ext-link>, University of Chicago, United&#x20;States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1263357/overview">Eswar Shankar</ext-link>, The Ohio State University, United&#x20;States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/482491/overview">Bo Wen</ext-link>, Fudan University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Tao Liu, <email>anti1988@163.com</email>; Jianhua Yu, <email>jiayu@coh.org</email>; Ping Yi, <email>yiping@cqmu.edu.cn</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Epigenomics and Epigenetics, a section of the journal Frontiers in Cell and Developmental Biology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>02</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>813581</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>11</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>01</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Mobet, Liu, Liu, Yu and Yi.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Mobet, Liu, Liu, Yu and Yi</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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>Methylation of adenosine in RNA to N6-methyladenosine (m<sup>6</sup>A) is widespread in eukaryotic cells with his integral RNA regulation. This dynamic process is regulated by methylases (editors/writers), demethylases (remover<italic>/</italic>erasers), and proteins that recognize methylation (effectors/readers). It is now evident that m<sup>6</sup>A is involved in the proliferation and metastasis of cancer cells, for instance, altering cancer cell metabolism. Thus, determining how m<sup>6</sup>A dysregulates metabolic pathways could provide potential targets for cancer therapy or early diagnosis. This review focuses on the link between the m<sup>6</sup>A modification and the reprogramming of metabolism in cancer. We hypothesize that m<sup>6</sup>A modification could dysregulate the expression of glucose, lipid, amino acid metabolism, and other metabolites or building blocks of cells by adaptation to the hypoxic tumor microenvironment, an increase in glycolysis, mitochondrial dysfunction, and abnormal expression of metabolic enzymes, metabolic receptors, transcription factors as well as oncogenic signaling pathways in both hematological malignancies and solid tumors. These metabolism abnormalities caused by m<sup>6</sup>A&#x2019;s modification may affect the metabolic reprogramming of cancer cells and then increase cell proliferation, tumor initiation, and metastasis. We conclude that focusing on m<sup>6</sup>A could provide new directions in searching for novel therapeutic and diagnostic targets for the early detection and treatment of many cancers.</p>
</abstract>
<kwd-group>
<kwd>M<sup>6</sup>A</kwd>
<kwd>methylation</kwd>
<kwd>reprogramming</kwd>
<kwd>metabolism</kwd>
<kwd>metabolite</kwd>
<kwd>oncogenic</kwd>
<kwd>cancer</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Adenosine methylation is the most common modification of RNA in eukaryotes. The methyl group is attached to the nitrogen-6 position of adenosine, creating N6-methyladenosine or m<sup>6</sup>A (<xref ref-type="bibr" rid="B103">Wang et&#x20;al., 2017</xref>). This modification is highly dynamic and reversible, as it involves enzymes that methylate adenosine (writers), remove methylation (erasers), or recognize it (readers) (<xref ref-type="bibr" rid="B11">Chen et&#x20;al., 2019b</xref>). Moreover, the m<sup>6</sup>A modification is integral to the regulation of RNA, as it affects mRNA processing, mRNA translation, mRNA decay, mRNA export to the cytoplasm, and miRNA maturation (<xref ref-type="bibr" rid="B78">Roundtree et&#x20;al., 2017a</xref>). In the past several years, compelling evidence has witnessed the implication of m<sup>6</sup>A in RNA modification. Recent work has uncovered that m<sup>6</sup>A plays an important role in gene expression regulation emerged as critical post-transcriptional modifications. Currently, <xref ref-type="bibr" rid="B86">Shi et&#x20;al., (2019)</xref> review advances progress in understanding the mechanisms which specific cellular contexts and molecular function of N6-methyladenosine and highlight the importance of RNA modification regulation, including mRNA, tRNA, rRNA, and other non-coding RNA. They conclude that the recent biological outcome of m<sup>6</sup>A methylation could be promising for translational medicine. Previously, the roles of m<sup>6</sup>A modifications in modulating gene expression throughout cell differentiation and animal development were reviewed by <xref ref-type="bibr" rid="B23">Frye et&#x20;al., (2018)</xref>. Their study illustrates that m<sup>6</sup>A methylation plays a critical role by regulating various aspects of RNA metabolism, physiological processes, and stress response (<xref ref-type="bibr" rid="B23">Frye et&#x20;al., 2018</xref>). More interestingly, others recent evidence indicates that the modification of m<sup>6</sup>A also regulates physiology and metabolism in tumors (<xref ref-type="bibr" rid="B18">Faubert et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B13">Choe et&#x20;al., 2018</xref>).</p>
<p>Metabolic reprogramming in cancer cells was discovered to promote tumorigenesis (<xref ref-type="bibr" rid="B21">Frezza, 2020</xref>). Biochemical and molecular studies have suggested several possible mechanisms for its evolution during cancer development (<xref ref-type="bibr" rid="B31">Hanahan and Weinberg, 2011</xref>). Recently, m<sup>6</sup>A&#x2019;s function in oncology and its involvement in the regulation of cancer metabolism has received growing attention. As a result, our understanding of the metabolic mechanisms regulated by the m<sup>6</sup>A&#x2019;s modification in carcinogenesis and their potential therapeutic implications have progressed significantly.</p>
<p>Interestingly, m<sup>6</sup>A can act as a suppressor or promoter in the proliferation (<xref ref-type="bibr" rid="B55">Liu et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B83">Shen, 2020</xref>), differentiation (<xref ref-type="bibr" rid="B9">Chen et&#x20;al., 2019a</xref>), and metastasis of tumor cells (<xref ref-type="bibr" rid="B62">Ma et&#x20;al., 2017</xref>) in various cancers. It also appears to reprogram cancer cell metabolism (<xref ref-type="bibr" rid="B81">Shen et&#x20;al., 2020</xref>), as it can regulate metabolic enzymes, transporters, pathways, and transcription factors that promote cancer progression (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>; <xref ref-type="bibr" rid="B7">Chen et&#x20;al., 2021a</xref>). Here, we discuss the current understanding of how the m<sup>6</sup>A modification affects cancer metabolism and the potential for regulating it to provide new targets for cancer therapy.</p>
</sec>
<sec id="s2">
<title>M<sup>6</sup>A Regulation</title>
<p>Modification of m<sup>6</sup>A is regulated by: methyltransferases that catalyze methylation (writers), demethylases that remove (erasers) the methyl group from m<sup>6</sup>A, then m<sup>6</sup>A recognition proteins (readers) recognize the modification (<xref ref-type="bibr" rid="B43">Lewis et&#x20;al., 2017</xref>). Interestingly, m<sup>6</sup>A methyltransferase, m<sup>6</sup>A demethylases, and m<sup>6</sup>A recognition proteins play essential roles in gene regulation.</p>
<sec id="s2-1">
<title>m<sup>6</sup>A Methyltransferase</title>
<p>Methyltransferase-like3 (METTL3) and Methyltransferase-like14 (METTL14) are the critical components of the m<sup>6</sup>A methyltransferase complex (MTC). These two methyltransferases colocalize in the nucleus (<xref ref-type="bibr" rid="B56">Liu et&#x20;al., 2014</xref>), forming a heterodimer. METTL3 transfers the methyl of the S-adenosyl methionine (SAM) to produce S-adenosyl homocysteine (SAH) and leads to global miRNA downregulation. By binding with eIF3h in the cytoplasm, METTL3 can also promote oncogenic mRNAs translation (<xref ref-type="bibr" rid="B13">Choe et&#x20;al., 2018</xref>). METTL3 could be modulated through post-transcriptional modifications, affecting protein stability, localization, writer complex formation, and writer catalytic activity (<xref ref-type="bibr" rid="B86">Shi et&#x20;al., 2019</xref>). In comparison, METTL14 identifies specific RNA sequences as a target and stabilizes the structure of MTC (<xref ref-type="bibr" rid="B56">Liu et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B53">Lin et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B88">Sledz and Jinek, 2016</xref>). For example, METTL14 can methylate target miRNA by cooperating with HNRNPA2B1 and DGCR8, promoting miRNA maturation (<xref ref-type="bibr" rid="B2">Alarcon et&#x20;al., 2015</xref>).</p>
<p>Wilms&#x2019; tumor associating protein (WTAP), another writer protein, plays a role in localizing the methylase complex in the nucleus by interaction with heterodimer (<xref ref-type="bibr" rid="B74">Ping et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B41">Knuckles et&#x20;al., 2018</xref>). Recently, other components, such as HAKAI, ZC3H13, and VIRMA/KIAA1429, have been identified to interact with other parts of the MTC (<xref ref-type="bibr" rid="B125">Yue et&#x20;al., 2018</xref>), while ZCCHC4 is a ribosomal RNA-28S methyltransferase (<xref ref-type="bibr" rid="B61">Ma et&#x20;al., 2019</xref>). Other methyltransferase components like METTL5 have been found to be independent m<sup>6</sup>A writers. It catalyzes the attachment of m<sup>6</sup>A onto specific structure RNAs, including U6-small nuclear RNA (snRNA), 18S rRNA, and 28S rRNA (<xref ref-type="bibr" rid="B103">Wang et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B35">Ignatova et&#x20;al., 2020</xref>). METTL16 catalyzes m<sup>6</sup>A of the U6- spliceosomal small nuclear RNA and MAT2A 3&#x2032;-UTR mRNA (<xref ref-type="bibr" rid="B72">Pendleton et&#x20;al., 2017</xref>).</p>
</sec>
<sec id="s2-2">
<title>m<sup>6</sup>A Demethylases</title>
<p>The m<sup>6</sup>A remover proteins erase the m<sup>6</sup>A modification by increasing the level of iron ferrous (Fe<sup>2&#x2b;</sup>) (co-factor) and &#x3b1;-ketoglutarate (co-substrate) dependent oxygenase family (<xref ref-type="bibr" rid="B19">Fedeles et&#x20;al., 2015</xref>). Two erasers that catalyze m<sup>6</sup>A demethylation ALKB homolog 5 (ALKBH5) and fat mass and obesity-associated protein (FTO) can recognize adenine and cytosine methylation in RNA (<xref ref-type="bibr" rid="B24">Fu et&#x20;al., 2013</xref>). ALKBH5 and FTO are members of the Fe<sup>2&#x2b;</sup>/&#x3b1;-ketoglutarate-dependent dioxygenases family. The first RNA demethylase identified FTO was reported to remove the methyl group of N6 - methyladenosine (m<sup>6</sup>A) in RNA. m<sup>6</sup>A erasers may exhibit different expression levels, post-translational modifications, and cellular localization, depending on cell types. For instance, m<sup>6</sup>A demethylase FTO is predominantly nucleus localized and regulates 5&#x2013;10% of total mRNA m<sup>6</sup>A demethylation (<xref ref-type="bibr" rid="B108">Wei et&#x20;al., 2018</xref>). In contrast, FTO is also highly abundant in the cell cytoplasm and can mediate up to 40% m<sup>6</sup>A demethylation of total mRNA in certain leukemia cells (<xref ref-type="bibr" rid="B86">Shi et&#x20;al., 2019</xref>). Additionally, FTO regulates alternative splicing via m6A by interacting with Serine-rich splicing factor 2(SRSF2) (<xref ref-type="bibr" rid="B4">Bartosovic et&#x20;al., 2017</xref>). Interestingly, FTO may control metabolic disorders. ALKBH5 another m<sup>6</sup>A demethylase, affects mRNA export and processing factors (<xref ref-type="bibr" rid="B128">Zheng et&#x20;al., 2013</xref>). ALKB homolog 3 (ALKBH3) was found to demethylate only tRNAs (<xref ref-type="bibr" rid="B95">Ueda et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B117">Yang et&#x20;al., 2020</xref>).</p>
</sec>
<sec id="s2-3">
<title>m<sup>6</sup>A Recognition</title>
<p>The m<sup>6</sup>A recognition proteins (readers) control the destiny of RNAs that have been modified. Readers/effectors are distributed in the nucleus and cytoplasm, indicating their functional diversity. While writers and erasers carry out methylation and demethylation, the readers determine the functional consequences of modification. m<sup>6</sup>A recognition proteins characterization has provided valuable insights into the molecular mechanisms of the m<sup>6</sup>A-mediated post-transcriptional gene regulation (<xref ref-type="bibr" rid="B86">Shi et&#x20;al., 2019</xref>). Furthermore, RNA binding proteins (RBPs) could regulate the interactions between m<sup>6</sup>A effectors and RNA substrates.</p>
<p>YTHDF1/2/3 and YTHDC1 recognize the m<sup>6</sup>A change and alter mRNA&#x2019;s splicing, translation, and decay (<xref ref-type="bibr" rid="B114">Xu et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B110">Wu et&#x20;al., 2017a</xref>). Intriguingly, these proteins also play crucial roles in mRNA metabolism (<xref ref-type="bibr" rid="B104">Wang et&#x20;al., 2015</xref>). For instance, YTHDF1 binds to mRNA, including eukaryotic translation initiation factor 3 (eIF3) and poly-A- binding protein (PABP) complex to promote RNA translation (<xref ref-type="bibr" rid="B104">Wang et&#x20;al., 2015</xref>). YTHDF2 recognizes mRNAs not destined for translation, accelerating their destruction. Interestingly, it identifies specific m<sup>6</sup>A -modified binds to CCR4-NOT transcription complex subunit 1 (CNOT1). However, it recruits the CCR4-NOT complex of the m<sup>6</sup>A -tagged RNA P-body to promote its destruction (<xref ref-type="bibr" rid="B135">Du et&#x20;al., 2016</xref>). YTHDF3 by interaction with YTHDF1 accelerates mRNA translation, affecting YTHDF2-mediated degradation of mRNAs labeled with m<sup>6</sup>A (<xref ref-type="bibr" rid="B44">Li et&#x20;al., 2017a</xref>).</p>
<p>YTHDC1 mediates mRNA export marked with m<sup>6</sup>A by interaction with the nuclear export adaptor protein SRSF3 (<xref ref-type="bibr" rid="B77">Roundtree et&#x20;al., 2017b</xref>). Importantly, YTHDC1 regulates splicing events by inhibiting SRSF10 or activating splicing factor SRSF3. In conjunction with nuclear RNA export factor 1 (NXF1), YTHDC1 can also mediate mRNA export to the cytoplasm. Unlike the rest of the family, YTHDC2, an RNA helicase. Its helicase domain contributes to RNA binding (<xref ref-type="bibr" rid="B32">Hsu et&#x20;al., 2017</xref>). Significantly, YTHDC2 and YTHDF3 can facilitate RNA degradation or enhance RNA translation depending on the context (<xref ref-type="bibr" rid="B85">Shi et&#x20;al., 2017</xref>).</p>
<p>hnRNPs, another m<sup>6</sup>A recognition family, is localized in the nucleus where heterogeneous nuclear ribonucleoprotein C (hnRNPC) can bind with nascent RNA transcripts and control their processing (<xref ref-type="bibr" rid="B2">Alarcon et&#x20;al., 2015</xref>). For instance, the lncRNA MALAT1 facilitates a change in the m<sup>6</sup>A site for recognition and binding by hnRNPC (<xref ref-type="bibr" rid="B57">Liu et&#x20;al., 2015</xref>). Interestingly, m<sup>6</sup>A regulates RNA binding motifs (RBMs) accessibility by altering mRNA and long noncoding RNA (lncRNA) structure to promote hnRNPC interaction. These changes influence RNA-protein interactions in human cells. This mechanism is called the &#x201c;m<sup>6</sup>A -switch&#x201d; (<xref ref-type="bibr" rid="B57">Liu et&#x20;al., 2015</xref>). hnRNPC-binding regulated by the m<sup>6</sup>A -switch regulates RNA alternative splicing, indicating that the switch helps regulate gene expression and RNA maturation (<xref ref-type="bibr" rid="B57">Liu et&#x20;al., 2015</xref>).</p>
<p>Another component of the m<sup>6</sup>A recognition family, Heterogeneous nuclear ribonucleoprotein A2B1 (hnRNPA2B1), regulates RNA alternative splicing and microRNA processing (<xref ref-type="bibr" rid="B2">Alarcon et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B57">Liu et&#x20;al., 2015</xref>). Further, it interacts with DiGeorge syndrome critical region gene 8 (DGCR8) for miRNA maturation and recognizes the m<sup>6</sup>A signals of microRNA (<xref ref-type="bibr" rid="B127">Zhao et&#x20;al., 2017</xref>). Eukaryotic initiation factor 3 (eIF3), another effector/reader, could initiate protein translation in a cap on its 5&#x2032;-UTR (<xref ref-type="bibr" rid="B66">Meyer et&#x20;al., 2015</xref>). In conjunction with Hu antigen R (HuR), these proteins recognize m<sup>6</sup>A&#x2019;s modification and stabilize their RNA transcripts (<xref ref-type="bibr" rid="B66">Meyer et&#x20;al., 2015</xref>).</p>
<p>Insulin growth factor-2 binding proteins 1, 2, and 3 (IGF2BP 1/2/3) were identified as another m<sup>6</sup>A recognition. After co-localizing with HuR, these proteins protect mRNA decay and enhance mRNA translation (<xref ref-type="bibr" rid="B33">Huang et&#x20;al., 2018</xref>). These findings demonstrated that m<sup>6</sup>A methyltransferases (editors/writers) and m<sup>6</sup>A demethylases (remover<italic>/</italic>erasers) cooperate to modulate the distribution of m<sup>6</sup>A on RNA by adding (writer) or removing (erasers) the methyl. While the m<sup>6</sup>A recognition (effectors/readers) proteins recognize the m<sup>6</sup>A modified transcripts and determine their fate regulate functions (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>m<sup>6</sup>A-mediated RNA regulation. The m<sup>6</sup>A modification is integral to the regulation of RNA. m<sup>6</sup>A can be installed by &#x201c;writers&#x201d; (METTL3/14, WTAP, RBM15, VIRMA, and HAKAI), removed by &#x201c;erasers&#x201d; (FTO and ALKBH5), and recognized by &#x201c;readers&#x201d; (YTHDF1/2/3, YTHDC1/2, IGF2BP1/2/3, eIF3, and HNRNPC/A2B1). m<sup>6</sup>A methyltransferases (writers) catalyze methylation while the m<sup>6</sup>A demethylases (erasers) remove the methyl in m<sup>6</sup>A. The m<sup>6</sup>A recognition (readers) proteins bind the m<sup>6</sup>A modified transcripts and determine their fate. The modification of &#x201c;writers,&#x201d; &#x201c;erasers,&#x201d; and &#x201c;readers&#x201d; proteins affect RNA processing, including RNA splicing, mRNA translation, mRNA decay, mRNA export to the cytoplasm, and miRNA maturation.</p>
</caption>
<graphic xlink:href="fcell-10-813581-g001.tif"/>
</fig>
</sec>
</sec>
<sec id="s3">
<title>M<sup>6</sup>A Regulates Cancer Metabolism</title>
<p>Cancer cells need abundant energy and raw materials to grow and divide; therefore, they substantially alter their metabolic pathways (<xref ref-type="bibr" rid="B31">Hanahan and Weinberg, 2011</xref>; <xref ref-type="bibr" rid="B52">Li and Zhang, 2016</xref>). Importantly, biochemical and molecular studies suggest several possible mechanisms for the evolution of aberrant metabolism during cancer development (<xref ref-type="bibr" rid="B31">Hanahan and Weinberg, 2011</xref>). For example, proliferating cancer cells can enhance the synthesis of glucose of carbohydrates, lipids, and proteins to obtain an ample and uninterrupted supply of molecules needed for biosynthesis (<xref ref-type="bibr" rid="B40">Khan et&#x20;al., 2020</xref>). Moreover, most cancer cells depend on aerobic glycolysis rather than the TCA cycle (<xref ref-type="bibr" rid="B96">Vander Heiden et&#x20;al., 2009</xref>). The preference for glycolysis over mitochondrial oxidative phosphorylation seems to be a hallmark of cancer cells (<xref ref-type="bibr" rid="B27">Garber, 2006</xref>).</p>
<p>However, aerobic glycolysis transports chemical generates ATP. This ATP and its breakdown product adenosine are widespread throughout the body, and both have been shown to regulate cell proliferation and differentiation. Therefore, metabolic reprogramming is widely utilized during oncogenesis, and the m<sup>6</sup>A modification can regulate metabolism in cancer progression (<xref ref-type="fig" rid="F2">Figure&#x20;2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Links between m<sup>6</sup>A modification and metabolites in human cancer. m<sup>6</sup>A RNA modification by targeting metabolic pathways is involved in various tumorigenesis, including Acute Myeloid Leukemia (AML), Breast Cancer (BC), Cervical Cancer (CC), Colorectal Cancer (CRC), Glioblastoma (GBM), Hepatocellular Carcinoma (HCC), Gastric Cancer (GC) and Lung Cancer (LC).</p>
</caption>
<graphic xlink:href="fcell-10-813581-g002.tif"/>
</fig>
<sec id="s3-1">
<title>m<sup>6</sup>A Regulates Glucose Metabolism</title>
<p>Glucose, an essential nutrient in blood, is the main energy source for cells (<xref ref-type="bibr" rid="B80">Shaw, 2006</xref>). However, several studies have found that hyperglycemia increases the overall risk of cancer (<xref ref-type="bibr" rid="B90">Stattin et&#x20;al., 2007</xref>). Cancer cells enhanced glucose uptake has also been implicated in metastasis and poor prognosis (<xref ref-type="bibr" rid="B64">Macheda et&#x20;al., 2005</xref>). Aerobic glycolysis in cancer can increase the m<sup>6</sup>A modification genes associated with glycolysis (<xref ref-type="bibr" rid="B22">Fry et&#x20;al., 2017</xref>).</p>
<p>Recent evidence demonstrated that cancer reprograms glucose metabolism (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>); thus, aerobic glycolysis exemplifies an evolutionary change in cancer cells. Not surprisingly, glycolytic transporters like glucose transporter (GLUT), glycolytic enzymes such as pyruvate kinase isozyme M1/2 (PKM1/2), pyruvate dehydrogenase kinase (PDK), lactate dehydrogenase (LDH), and hexokinase (HK) is important targets to understand cancer metabolism (<xref ref-type="bibr" rid="B16">Doherty and Cleveland, 2013</xref>; <xref ref-type="bibr" rid="B98">Viale et&#x20;al., 2014</xref>). The relationship between m<sup>6</sup>A and glucose metabolism is crucial for understanding cancer progression because glucose is the most important metabolite associated with many enzymes and transporters. Additionally, glycolysis is an essential pathway involved in cancer progression, metastasis, and chemotherapy resistance (<xref ref-type="bibr" rid="B26">Ganapathy-Kanniappan and Geschwind, 2013</xref>).</p>
<p>In Colorectal Cancer (CRC), the METTL3-HK2/GLUT1-MYC-IGF2BP is involved in cells proliferation and metastasis (<xref ref-type="bibr" rid="B81">Shen et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B113">Xiang et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B7">Chen et&#x20;al., 2021a</xref>). Hexokinase (HK) catalyzed the first step of anaerobic glycolysis and oxidative phosphorylation, which converts glucose to glucose 6-phosphate (G6P) (<xref ref-type="bibr" rid="B109">Wilson, 2003</xref>). Many investigations reveal the implication of HK in cancers. For instance, HK2 bound to mitochondria enable cancer cells to become more glycolytic (<xref ref-type="bibr" rid="B8">Chen et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B111">Wu et&#x20;al., 2017b</xref>). GLUT1, a glucose transporter, mediates the first step of glucose inside cells (<xref ref-type="bibr" rid="B6">Cheeseman, 2008</xref>). Overexpression of GLUTs facilitates glucose consumption in cancer progression (<xref ref-type="bibr" rid="B3">Ancey et&#x20;al., 2018</xref>). METTL3 stabilizes GLUT1 and HK2 mRNA in colorectal cancer by directly interacting with the 3&#x2032; UTR mRNA of GLUT1 and the 5&#x27;/3&#x2032;-UTRs mRNA of HK2. This enhanced HK2 and GLUT1 expression, promoting CRC progression (<xref ref-type="bibr" rid="B81">Shen et&#x20;al., 2020</xref>). One recent study established that METTL3 enhanced CRC growth and identified GLUT1-mTORC1 as the primary target of METTL3 in that disease (<xref ref-type="bibr" rid="B7">Chen et&#x20;al., 2021a</xref>). More interestingly, METTL3 induced GLUT1 translation in m<sup>6</sup>A to promote glucose uptake and lactate production, leading to mTORC1 activation. These findings indicate that METTL3 promotes CRC <italic>via</italic> the m<sup>6</sup>A-mediated GLUT1-mTORC1 signaling activation.</p>
<p>In Cervical Cancer, (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>) demonstrated that m<sup>6</sup>A regulates glycolysis in cancer cells through pyruvate dehydrogenase kinase 4 (PDK4). PDKs are the gatekeeper enzymes involved in altered glucose metabolism in tumors (<xref ref-type="bibr" rid="B71">Patel and Korotchkina, 2006</xref>; <xref ref-type="bibr" rid="B15">Devedjiev et&#x20;al., 2007</xref>). They are remarkably overexpressed in multiple human tumor samples. Among them, PDK4 was noticed as one critical metabolic factor of metabolism control because it can divert carbon flux from oxidative phosphorylation into glycolysis (OXPHOS) (<xref ref-type="bibr" rid="B89">Stacpoole, 2017</xref>). According to Li and collaborators, the extracellular acidification rate (ECAR) was decreased in Mettl3<sup>Mut/-</sup> HeLa cells, While the oxygen consumption rate (OCR) was increased (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>), demonstrating that METTL3 promotes glycolysis. Additionally, PDK4 can reverse lactate production level, glucose consumption, and ATP rate in Mettl3-depleted cells. More importantly, overexpression of PDK4 to an endogenous level attenuated the metabolic phenotypes of SiHa cells that had lost METTL3. Also, overexpression of ALKBH5 suppressed PDK4 expression in HeLa cells (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>). Moreover, compared with negative control samples, IGF2BP3 and YTHDF1 were significantly higher in cervical cancer samples (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>). <xref ref-type="bibr" rid="B49">Li et&#x20;al. (2020b)</xref> further determined whether the m<sup>6</sup>A modification can regulate PDK4 expression in addition to affecting the stability of the kinase&#x2019;s mRNA. Modifying the PDK4 mRNA at its 5&#x2032;-UTR by m<sup>6</sup>A positively regulated its elongation during translation and the stability of its mRNA because m<sup>6</sup>A is bound to the YTHDF1 and IGF2BP3 (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>). In HeLa cells, IGF2BP3 inhibition can suppress PDK4 expression and alter the suppressive effect of METTL3 on PDK4 expression (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>). More interestingly, YTHDF1 and IGF2BP3-targeting PDK4 with d m<sup>6</sup>A CRISPR significantly downregulated PDK4 mRNA and protein levels (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>). Thus, targeting m<sup>6</sup>A on PDK4 mRNA with dm6ACRISPR appears to regulate glycolysis and ATP generation in cancer (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>). These studies suggest that PDK4 is a critical metabolic agent of glycolysis and ATP generation regulated by m<sup>6</sup>A in cervical cancer progression.</p>
<p>In Hepatocellular Carcinoma (HCC), hepatic FTO helps regulate the expression of the gluconeogenic gene. Recent evidence indicates that demethylation of m<sup>6</sup>A by FTO affects glucose metabolism <italic>via</italic> hepatic gluconeogenesis (<xref ref-type="bibr" rid="B82">Shen et&#x20;al., 2015</xref>). On the other hand, the FTO level may be affected by insulin in HCC (<xref ref-type="bibr" rid="B67">Mizuno et&#x20;al., 2017</xref>). Pyruvate kinase isozymes M1 (PKM1) and M2 (PKM2) are glycolytic enzymes (<xref ref-type="bibr" rid="B16">Doherty and Cleveland, 2013</xref>). They mediate the final steps of glycolysis by dephosphorylation of phosphoenolpyruvate (PEP), producing pyruvate and ATP. According to (<xref ref-type="bibr" rid="B46">Li et&#x20;al., 2019a</xref>), FTO promotes HCC tumorigenesis by demethylating m<sup>6</sup>A on PKM2 mRNA. This demethylation accelerates translation, leading to tumorigenesis in HCC (<xref ref-type="bibr" rid="B46">Li et&#x20;al., 2019a</xref>). The demethylation of PKM2 mRNA by FTO suggests that FTO also regulates the expression of PKM2. Knocking down FTO repressed HCC progression (<xref ref-type="bibr" rid="B46">Li et&#x20;al., 2019a</xref>). This finding revealed that FTO could demethylate PKM2 mRNA, thereby upregulating the kinase&#x2019;s expression. Upregulated PDK4 was found to reduce hepatic chemotherapy-induced colorectal liver metastasis (<xref ref-type="bibr" rid="B91">Strowitzki et&#x20;al., 2019</xref>). PDK4 collaborates with METTL3 to induce proliferation and hepatic chemosensitivity cancer cells (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>). Regarding the link between PDK4 and m<sup>6</sup>A, Li and collaborators found that m<sup>6</sup>A -PDK4 plays an essential role in liver cancer progression. Consistent with this finding, knocking down METTL3 inhibited PDK4 antibodies in Huh7 cells. Moreover, overexpression of the demethylase ALKBH5 (another m<sup>6</sup>A eraser) decreased glucose, lactate, and ATP abundance in Huh7 HCC cells (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>). Li and collaborators also provided evidence that METTL3 regulates glycolytic activity in HCC. Downregulation of METTL3 cooperates with the 2-deoxyglucose (2-DG) to inhibit HCC proliferation<italic>,</italic> suggesting that suppressing glycolysis by inhibiting METTL3 might be a potential strategy for treating HCC (<xref ref-type="bibr" rid="B54">Lin et&#x20;al., 2020</xref>).</p>
<p>In Acute Myeloid Leukemia (AML), <italic>&#x3b1;</italic>-ketoglutarate, produced by isocitrate dehydrogenase in the TCA cycle, interacts with m<sup>6</sup>A demethylase proteins (<xref ref-type="bibr" rid="B60">Losman et&#x20;al., 2020</xref>). R-2HG (R-2-hydroxyglutarate) inhibited FTO activity by stimulating the modification of m<sup>6</sup>A -RNA in cells. Moreover, through targeting the FTO/MYC/CEBPA axis, R-2HG inhibited the proliferation of leukemia cells (<xref ref-type="bibr" rid="B92">Su et&#x20;al., 2018</xref>). It was reported that knocking down FTO or LDHB (lactate dehydrogenase B) inhibits R-2HG in leukemia cells (<xref ref-type="bibr" rid="B76">Qing et&#x20;al., 2021</xref>). Additionally, R-2HG abrogated FTO/m<sup>6</sup>A/YTHDF2-mediated upregulation of LDHB, suppressing aerobic glycolysis (<xref ref-type="bibr" rid="B76">Qing et&#x20;al., 2021</xref>). These findings show that R-2HG attenuates aerobic glycolysis by inhibiting FTO in leukemia cells. Lactate dehydrogenase (LDH) converts pyruvate to lactate, and this enzyme is frequently upregulated in multiple cancers (<xref ref-type="bibr" rid="B106">Wang et&#x20;al., 2012</xref>). Lactate, ketone, and pyruvate are monocarboxylates that play essential roles in cancer metabolism (<xref ref-type="bibr" rid="B29">Halestrap, 2013</xref>).</p>
<p>In Gastric Cancer (GC), overexpression of METTL3 (a writer) promoted metastasis to the liver <italic>in&#x20;vitro</italic> and <italic>in vivo,</italic> and it also stimulated the modification of adenosine to m<sup>6</sup>A, enhancing mRNA stability (<xref ref-type="bibr" rid="B102">Wang et&#x20;al., 2020c</xref>). Tumor angiogenesis was promoted by Hepatoma-derived growth factor (HDGF) upregulation, while nuclear HDGF activated GLUT4 and ENO2 expression and increased metastasis in GC cells (<xref ref-type="bibr" rid="B102">Wang et&#x20;al., 2020c</xref>). WTAP (a writer) promoted GC cell proliferation and glycolytic capacity and enhanced HK2 expression through interacting with the m<sup>6</sup>A modified 3&#x2032;-UTR of HK2 mRNA (<xref ref-type="bibr" rid="B123">Yu et&#x20;al., 2021</xref>).</p>
<p>In Glioblastoma (GBM), Li et&#x20;al. recently showed that long noncoding RNA just proximal to X-inactive specific transcript (JPX) interacted with N6-methyladenosine (m<sup>6</sup>A) demethylase FTO and enhanced FTO-mediated PDK1 mRNA demethylation. Additionally, JPX exerted its GBM-promotion effects through the FTO/PDK1 axis (<xref ref-type="bibr" rid="B48">Li et&#x20;al., 2021</xref>). These outcomes reveal the critical role of JPX in promoting GBM aerobic glycolysis-m<sup>6</sup>A demethylase&#x20;FTO.</p>
<p>In Lung Cancer (LC), YTHDF2 expression is increased in tumor tissues, promoted proliferation, and bound to 3&#x2032;-UTR of 6-phosphogluconate dehydrogenase (G6PD) mRNA (<xref ref-type="bibr" rid="B84">Sheng et&#x20;al., 2020</xref>). This binding facilitates G6PD mRNA translation in LC and promotes tumorigenesis. Recently, Yang and collaborators showed that FTO is declined in lung adenocarcinoma, which correlates with poor patient overall survival. Moreover, downregulated FTO expression enhanced m<sup>6</sup>A levels in mRNAs of genes involved in metabolic pathways such as MYC (<xref ref-type="bibr" rid="B119">Yang et&#x20;al., 2021</xref>). Interestingly, the enhanced levels recruited the binding of YTHDF1, which promoted the translation of MYC mRNA and increased glycolysis and cancer progression (<xref ref-type="bibr" rid="B119">Yang et&#x20;al., 2021</xref>).</p>
<p>In Breast Cancer (BC), METTL3 overexpression enhanced the PDK4 protein expression in breast cancer cells (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>). Interestingly, the m<sup>6</sup>A -modified 5&#x2032;-UTR of PDK4 regulated the kinase&#x2019;s elongation during translation and the stability of its mRNA through interaction with YTHDF1 and IGF2BP3. Further, clinical data confirm that m6A/PDK4 is implicated in breast cancer progression (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>). These findings suggest that proteins associated with m<sup>6</sup>A regulate glycolysis in breast cancer&#x20;cells.</p>
</sec>
<sec id="s3-2">
<title>m<sup>6</sup>A Regulates Lipid Metabolism</title>
<p>Recently, elevated lipid levels were recognized as an important aberration of cancer metabolism (<xref ref-type="bibr" rid="B93">Swierczynski et&#x20;al., 2014</xref>). Moreover, previous studies have noticed that lipid metabolism is reprogrammed in tumors (<xref ref-type="bibr" rid="B79">Schulze and Harris, 2012</xref>; <xref ref-type="bibr" rid="B70">Nath and Chan, 2016</xref>). Dysregulation of lipid metabolism is an essential feature of cancer cells (<xref ref-type="bibr" rid="B68">Murai, 2015</xref>; <xref ref-type="bibr" rid="B25">Gaida et&#x20;al., 2016</xref>).</p>
<p>There is also a link between m<sup>6</sup>A proteins and lipid metabolism in cancer. After observing that knocking down METTL3 and YTHDF2 decreased lipid accumulation in hepatocellular carcinoma cells, <xref ref-type="bibr" rid="B130">Zhong et&#x20;al. (2018)</xref> proposed that the presence of m<sup>6</sup>A in mRNA mediates crosstalk between the circadian clock and lipid metabolism (<xref ref-type="bibr" rid="B130">Zhong et&#x20;al., 2018</xref>). <xref ref-type="bibr" rid="B39">Kang et&#x20;al. (2018)</xref> showed that FTO increased triglyceride (TG) deposition and decreased mitochondrial content. FTO regulates lipid metabolism in hepatocytes by modulating RNA m<sup>6</sup>A levels (<xref ref-type="bibr" rid="B39">Kang et&#x20;al., 2018</xref>). These studies revealed that FTO&#x2019;s demethylating is an important actor in the lipid metabolism of hepatocytes. By linking the epigenetic modification of RNA with fat deposition, they suggested a new m<sup>6</sup>A target for regulating hepatic fat metabolism (<xref ref-type="bibr" rid="B39">Kang et&#x20;al., 2018</xref>). FTO overexpression in HepG2 cells also reduced m<sup>6</sup>A levels, enhancing stearoyl CoA desaturase (SCD), monoacylglycerol O acyltransferase 1 (MOGAT1), and fatty acid synthase (FAS), which contribute to cell growth (<xref ref-type="bibr" rid="B39">Kang et&#x20;al., 2018</xref>). Numerous studies demonstrated that METTL3-mediated m<sup>6</sup>A modification and inhibition of mRNA decay promoted the miR-3619-5p/HDGF axis, enhancing lipogenesis in Hepatocellular Carcinoma (<xref ref-type="bibr" rid="B129">Zhong et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B134">Zuo et&#x20;al., 2020</xref>).</p>
<p>In GBM, <xref ref-type="bibr" rid="B17">Fang et&#x20;al. (2021)</xref> recently showed that YTHDF2 facilitates m<sup>6</sup>A -dependent mRNA decay, impacting glioma patients&#x2019; survival. Moreover, YTHDF2 inhibited cholesterol homeostasis in GBM cells. These outcomes highlight the critical function of YTHDF2 regulated cholesterol homeostasis in GBM (<xref ref-type="bibr" rid="B17">Fang et&#x20;al., 2021</xref>). Other reported studies showed that YTHDF2 could also regulate lipogenic genes, including acetyl CoA carboxylase 1 (ACC1), fatty acid synthase (FAS), and stearoyl-CoA desaturase 1(SCD1), to decrease their mRNA stability (<xref ref-type="bibr" rid="B131">Zhou et&#x20;al., 2021</xref>).</p>
<p>As a lipid, sphingolipids also regulate cancer proliferation, migration, invasion, and metastasis. Among this class of lipid, delta 4 desaturase sphingolipid 2 (DEGS2) catalyzes the conversion of dhCers to phytoceramides (<xref ref-type="bibr" rid="B5">Casasampere et&#x20;al., 2016</xref>). Recently, Guo and collaborators found the role of m<sup>6</sup>A modification on DEGS2 in colorectal cancer and suggested that inhibited m<sup>6</sup>A promotes DEGS2 expression and dysregulated lipid metabolites, contributing to colorectal cancer (<xref ref-type="bibr" rid="B28">Guo et&#x20;al., 2021</xref>). Furthermore, overexpression of DEGS2 promoted cell growth, while depletion of DEGS2 inhibited cell growth (<xref ref-type="bibr" rid="B5">Casasampere et&#x20;al., 2016</xref>). Regarding the molecular mechanism, Guo and collaborators found that METTL3 depletion promoted the DEGS2 mRNA, increased DEGS2 expression in HCT116 cells, suggesting that METTL3 is essential for the stability and translation of DEGS2. YTHDF2 knockdown induced the level of DEGS2 mRNA expression, meaning that YTHDF2 contributes to the DEGS2 mRNA decay (<xref ref-type="bibr" rid="B28">Guo et&#x20;al., 2021</xref>). Collectively, this recent evidence suggests that m<sup>6</sup>A regulates lipid metabolism in cancer.</p>
</sec>
<sec id="s3-3">
<title>m<sup>6</sup>A Regulates Amino Acid Metabolism</title>
<p>To proliferate, cancer cells need large amounts of amino acids (<xref ref-type="bibr" rid="B87">Sivanand and Vander Heiden, 2020</xref>), which are essential building blocks of proteins (<xref ref-type="bibr" rid="B69">Murugan, 2019</xref>; <xref ref-type="bibr" rid="B97">Vettore et&#x20;al., 2020</xref>). Moreover, there is much evidence for specific degradation in amino acid metabolism in cancers (<xref ref-type="bibr" rid="B52">Li and Zhang, 2016</xref>). Glutamine, which regulates the expression of many genes related to metabolism (<xref ref-type="bibr" rid="B14">Curi et&#x20;al., 2005</xref>), is carried into cancer cells by multiple transporters, such as Na &#x2b; <bold>-</bold>coupled neutral amino acid transporters (SNATs) and Na &#x2b; -dependent transporters (<xref ref-type="bibr" rid="B38">Kandasamy et&#x20;al., 2018</xref>).</p>
<p>To renew the TCA cycle, many tumor cells highly need glutamine (<xref ref-type="bibr" rid="B65">Mat&#xe9;s et&#x20;al., 2013</xref>). Glutamate dehydrogenase (GLUD1) and transaminases can transform glutamine to <italic>&#x3b1;</italic>-KG to reconstruct the TCA cycle (<xref ref-type="bibr" rid="B96">Vander Heiden et&#x20;al., 2009</xref>). FTO and ALKBH5 were identified as <italic>&#x3b1;</italic>-KG-dependent dioxygenases (<xref ref-type="bibr" rid="B132">Zhu et&#x20;al., 2020</xref>). METTL14 may promote HCC progression by modulating m<sup>6</sup>A -regulated genes, including glutamic oxaloacetic transaminase 2 (GOT2), cysteine sulfonic acid decarboxylase (CSAD), and suppressor of cytokine signaling 2 (SOCS2) (<xref ref-type="bibr" rid="B49">Li et&#x20;al., 2020b</xref>). In colon cancer, Chen and collaborators demonstrated YTHDF1-mediated as a positive association between glutamine metabolism and cisplatin resistance (<xref ref-type="bibr" rid="B10">Chen et&#x20;al., 2021b</xref>).</p>
<p>Recently, reports have indicated that AMP-activated protein kinase (AMPK) could act as a beneficial target for treating cancer patients (<xref ref-type="bibr" rid="B107">Wang et&#x20;al., 2016b</xref>). AMPK can act to inhibit tumorigenesis through the regulation of cell proliferation. AMP-activated protein kinase-alpha2 (AMPK&#x3b1;2) was inversely correlated with FTO (<xref ref-type="bibr" rid="B105">Wang et&#x20;al., 2016a</xref>). FTO is upregulated in colorectal cancer and interacts with MYC to accelerate cell proliferation and migration (<xref ref-type="bibr" rid="B133">Zou et&#x20;al., 2019</xref>). In colorectal cancer, Yue and collaborators reveal that AMPK&#x3b1;2 inhibits CRC cell growth and promotes apoptosis through altering FTO (<xref ref-type="bibr" rid="B124">Yue et&#x20;al., 2020</xref>). More interestingly, miR-96 could retard cancerogenesis by inactivating the FTO-mediated MYC AMPK&#x3b1;2-dependent manner in CRC cells (<xref ref-type="bibr" rid="B124">Yue et&#x20;al., 2020</xref>). Together, these findings elucidate links between m<sup>6</sup>A and metabolic changes in cancers (<xref ref-type="table" rid="T1">Table&#x20;1</xref> and <xref ref-type="fig" rid="F2">Figure&#x20;2</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Regulation of metabolites by m<sup>6</sup>A associated proteins in cancer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Metabolic pathways</th>
<th align="center">Metabolites/Enzymes/Signaling pathways</th>
<th align="center">m<sup>6</sup>A associated proteins</th>
<th align="center">Cancer type</th>
<th align="center">Role in cancer</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="18" align="left">Glycolysis</td>
<td align="left">GLUT1-mTORC1</td>
<td align="left">METTL3</td>
<td align="left">CRC</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B7">Chen et&#x20;al. (2021a)</xref>
</td>
</tr>
<tr>
<td align="left">GLUT1</td>
<td align="left">METTL3/IGF2BP2/3</td>
<td align="left">CRC</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B81">Shen et&#x20;al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">PDK4</td>
<td align="left">METTL3</td>
<td align="left">Breast cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B50">Li et&#x20;al. (2020c)</xref>
</td>
</tr>
<tr>
<td align="left">HK2</td>
<td align="left">METTL3</td>
<td align="left">CRC</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B81">Shen et&#x20;al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">GLUT4/Enolase</td>
<td align="left">METTL3</td>
<td align="left">Liver cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Wang et&#x20;al. (2020c)</xref>
</td>
</tr>
<tr>
<td align="left">GLUT4/HDGF/ENO2</td>
<td align="left">METTL3/IGF2BP3</td>
<td align="left">Gastric cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Wang et&#x20;al. (2020c)</xref>
</td>
</tr>
<tr>
<td align="left">PDK4</td>
<td align="left">METTL3/IGF2BP3/ALKBH5</td>
<td align="left">Cervical cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B50">Li et&#x20;al. (2020c)</xref>
</td>
</tr>
<tr>
<td align="left">MYC</td>
<td align="left">FTO/YTHDF1</td>
<td align="left">Lung cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B119">Yang et&#x20;al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">PDK4</td>
<td align="left">METTL3</td>
<td align="left">Liver cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B50">Li et&#x20;al. (2020c)</xref>
</td>
</tr>
<tr>
<td align="left">HK2</td>
<td align="left">WTAP</td>
<td align="left">Gastric cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B123">Yu et&#x20;al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">PDK4</td>
<td align="left">YTHDF1/IGF2BP3</td>
<td align="left">Breast cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B50">Li et&#x20;al. (2020c)</xref>
</td>
</tr>
<tr>
<td align="left">PKM2</td>
<td align="left">FTO</td>
<td align="left">HCC</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B46">Li et&#x20;al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">PDK4</td>
<td align="left">ALKBH5</td>
<td align="left">Cervical cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B50">Li et&#x20;al. (2020c)</xref>
</td>
</tr>
<tr>
<td align="left">PDK4</td>
<td align="left">ALKBH5</td>
<td align="left">HCC</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B50">Li et&#x20;al. (2020c)</xref>
</td>
</tr>
<tr>
<td align="left">GLUT1</td>
<td align="left">ALKBH5</td>
<td align="left">CRC</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B81">Shen et&#x20;al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">G6PD</td>
<td align="left">YTHDF2</td>
<td align="left">Lung cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B84">Sheng et&#x20;al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">2-deoxyglucose</td>
<td align="left">METTL3</td>
<td align="left">HCC</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B54">Lin et&#x20;al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">MYC</td>
<td align="left">METTL3</td>
<td align="left">CRC</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B54">Lin et&#x20;al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">LDHB</td>
<td align="left">YTHDF2</td>
<td align="left">AML</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B76">Qing et&#x20;al. (2021)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">Lipid metabolism</td>
<td align="left">Lipid</td>
<td align="left">METTL3/YTHDF2</td>
<td align="left">Liver cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B130">Zhong et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Cholesterol</td>
<td align="left">YTHDF2</td>
<td align="left">Glioblastoma cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B17">Fang et&#x20;al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Triglyceride</td>
<td align="left">METTL3</td>
<td align="left">Liver cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B39">Kang et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Sphingolipid (DEGS2)</td>
<td align="left">METTL3/YTHDF2</td>
<td align="left">CRC</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B28">Guo et&#x20;al. (2021)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">Glutaminolysis</td>
<td align="left">R-2HG-MYC</td>
<td align="left">FTO</td>
<td align="left">Leukemia</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B92">Su et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">CSAD/GOT2/SOCS2</td>
<td align="left">METTL14</td>
<td align="left">HCC</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B49">Li et&#x20;al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">R-2HG</td>
<td align="left">FTO</td>
<td align="left">AML</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B76">Qing et&#x20;al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Glutamine</td>
<td align="left">YTHDF1</td>
<td align="left">Colon cancer</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B10">Chen et&#x20;al. (2021b)</xref>
</td>
</tr>
<tr>
<td align="left">Other metabolic</td>
<td align="left">Iron and ferritin metabolism</td>
<td align="left">YTHDF1</td>
<td align="left">HPSCC</td>
<td align="left">Oncogene</td>
<td align="left">
<xref ref-type="bibr" rid="B121">Ye et&#x20;al. (2020)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-4">
<title>Other Metabolic Processes Regulated by m<sup>6</sup>A in Cancer</title>
<p>Emerging evidence demonstrates that m<sup>6</sup>A can also regulate metabolic processes in carcinogenesis that do not involve glucose, lipids, or amino acids. For example, iron metabolism plays a key role in tumorigenesis (<xref ref-type="bibr" rid="B37">Jung et&#x20;al., 2019</xref>). Therefore, pathways that acquire, export, or store iron are often perturbed in cancer (<xref ref-type="bibr" rid="B37">Jung et&#x20;al., 2019</xref>). The tumor microenvironment exerts selective pressure that renders the cancer cells adopt altered metabolism, supporting these cells&#x2019; energy and metabolic demands, thereby facilitating tumor growth. Recent evidence showed that tumor-associated macrophages (TAMs) could provide iron to impact metabolism within the tumor microenvironment. When Ye and collaborators evaluated the correlation between the m<sup>6</sup>A modification and iron metabolism, they found that YTHDF1 regulates growth and iron metabolism in hypopharyngeal squamous cell carcinoma (HPSCC) (<xref ref-type="bibr" rid="B121">Ye et&#x20;al., 2020</xref>). YTHDF1 was also associated with intratumoral iron and ferritin levels in hypopharyngeal squamous cell carcinoma (HPSCC) patients. They further demonstrated that HPSCC tumorigenesis induced by YTHDF1 is dependent on iron metabolism and regulates transferrin receptor protein (TFRC) expression in this cancer (<xref ref-type="bibr" rid="B121">Ye et&#x20;al., 2020</xref>). Regarding the molecular mechanism, YTHDF1 binds to the UTR of TFRC mRNA to regulate mRNA translation of TFRC (<xref ref-type="bibr" rid="B121">Ye et&#x20;al., 2020</xref>). Targeting TFRC-mediated iron metabolism and YTHDF1 could become potential candidates for early diagnosis or treatment for HPSCC patients (<xref ref-type="bibr" rid="B121">Ye et&#x20;al., 2020</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>Control of M<sup>6</sup>A by Metabolites in Cancer</title>
<p>In cancer, metabolism is often regulated by the m<sup>6</sup>A modification. But could certain metabolites regulate m<sup>6</sup>A? This controversial idea is supported by the finding that proteins that regulate m<sup>6</sup>A associate highly with many types of cancer. Also, <xref ref-type="bibr" rid="B101">Wang et&#x20;al. (2020b)</xref> showed that nicotinamide adenine dinucleotide phosphate (NADP) binds to FTO, decreases m<sup>6</sup>A methylation in RNA, and promotes adipogenesis. Furthermore, NADP regulated mRNA m6A <italic>via</italic> FTO <italic>in vivo</italic>, and deletion of FTO blocked adipogenesis caused by enhanced NADP in 3T3-L1 pre-adipocytes.</p>
<p>Succinate prevents <italic>&#x3b1;</italic>-ketoglutarate-dependent dioxygenase from regulating critical factors of tumorigenesis, including hypoxia responses and histone demethylation. Additionally, hypoxia in tumors broadly increases levels of m<sup>6</sup>A in GLUT1 and MYC mRNAs (<xref ref-type="bibr" rid="B75">Priolo et&#x20;al., 2014</xref>). ALKBH5 and FTO m<sup>6</sup>A demethylases require <italic>&#x3b1;</italic>-KG, Fe(II), and O<sub>2</sub> for total enzymatic activity (<xref ref-type="bibr" rid="B126">Zhang et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B115">Xu and Bochtler, 2020</xref>; <xref ref-type="bibr" rid="B60">Losman et&#x20;al., 2020</xref>). The TCA cycle produces other metabolites that regulate m<sup>6</sup>A demethylation. Interestingly, citrate, another critical metabolite in the TCA, was noticed with an <italic>&#x3b1;</italic>-KG-binding site in ALKBH5 (<xref ref-type="bibr" rid="B20">Feng et&#x20;al., 2014</xref>). Citrate by binding to <italic>&#x3b1;</italic>-KG/FTO complex can inhibit the enzyme&#x2019;s activity (<xref ref-type="bibr" rid="B1">Aik et&#x20;al., 2013</xref>).</p>
<p>In AML cells, the FTO&#x2019;s enzymatic activity is inhibited, carrying the IDH (isocitrate dehydrogenase) mutation, which correlates with significantly increased m<sup>6</sup>A levels (<xref ref-type="bibr" rid="B51">Li et&#x20;al., 2017b</xref>). IDHs are critical enzymes that catalyze isocitrate to <italic>&#x3b1;</italic>-ketoglutarate (<italic>&#x3b1;</italic>-KG) and CO<sub>2</sub> in the TCA cycle. They also epigenetically control gene expression through effects on <italic>&#x3b1;</italic>-KG-dependent dioxygenases. R-2HG was recently reported to exhibit antitumor activity. It attenuates aerobic glycolysis and downregulates the expression of FTO/LDHB/PFKP in leukemia cells (<xref ref-type="bibr" rid="B76">Qing et&#x20;al., 2021</xref>). Moreover, it increases m<sup>6</sup>A modification of RNA by inhibiting FTO activity, destabilizing CEBPA/MYC transcripts in leukemia cells (<xref ref-type="bibr" rid="B92">Su et&#x20;al., 2018</xref>). These findings, therefore, indicate that certain metabolites can drive the m<sup>6</sup>A modification of RNA in cancer (<xref ref-type="table" rid="T2">Table&#x20;2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Control of m<sup>6</sup>A by metabolites in cancer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">m<sup>6</sup>A implicated proteins</th>
<th align="center">Metabolites</th>
<th align="center">Effects</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">FTO</td>
<td align="left">NADP</td>
<td align="left">NADP decreases m<sup>6</sup>A methylation in RNA and promotes adipogenesis</td>
<td align="left">
<xref ref-type="bibr" rid="B101">Wang et&#x20;al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">FTO</td>
<td align="left">R-2HG</td>
<td align="left">R-2HG attenuates aerobic glycolysis and downregulates the expression of FTO in leukemia cells</td>
<td align="left">
<xref ref-type="bibr" rid="B76">Qing et&#x20;al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">FTO</td>
<td align="left">R-2HG</td>
<td align="left">R-2HG increases m<sup>6</sup>A modification of RNA by inhibiting FTO activity, destabilizing MYC transcripts in leukemia cells</td>
<td align="left">
<xref ref-type="bibr" rid="B92">Su et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">FTO</td>
<td align="left">Isocitrate</td>
<td align="left">Isocitrate increases m<sup>6</sup>A levels of RNA by inhibiting FTO&#x2019;s activity in leukemia cells</td>
<td align="left">
<xref ref-type="bibr" rid="B51">Li et&#x20;al. (2017b)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s4-1">
<title>Potential Clinical Applications of M<sup>6</sup>A and Targeting the Modification in Cancer</title>
<p>As proteins that create, erase and recognize m<sup>6</sup>A play a role in cancer metabolism, targeting altered metabolic pathways by focusing on m<sup>6</sup>A modification has become a promising anticancer strategy. Survival analysis of patients showed that METTL3 (a writer) is a prognostic factor for poor outcomes in HCC (<xref ref-type="bibr" rid="B54">Lin et&#x20;al., 2020</xref>), thyroid carcinoma (<xref ref-type="bibr" rid="B100">Wang et&#x20;al., 2020a</xref>), pancreatic cancer (<xref ref-type="bibr" rid="B112">Xia et&#x20;al., 2019</xref>), CRC (<xref ref-type="bibr" rid="B47">Li et&#x20;al., 2019b</xref>), gastric cancer (<xref ref-type="bibr" rid="B102">Wang et&#x20;al., 2020c</xref>), and colorectal cancer (<xref ref-type="bibr" rid="B7">Chen et&#x20;al., 2021a</xref>). WTAP (another writer) predicts the survival of patients with high-grade serous ovarian carcinoma (<xref ref-type="bibr" rid="B122">Yu et&#x20;al., 2019</xref>), HCC (<xref ref-type="bibr" rid="B12">Chen et&#x20;al., 2019c</xref>), RCC, and GC (<xref ref-type="bibr" rid="B45">Li et&#x20;al., 2020a</xref>). As METTL3 depletion can decline oncogenes&#x2019; expression and reduce CRC proliferation (<xref ref-type="bibr" rid="B81">Shen et&#x20;al., 2020</xref>), breast cancer (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>), cervical cancer (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>), and liver cancer (<xref ref-type="bibr" rid="B102">Wang et&#x20;al., 2020c</xref>), METTL3 offers an alternative therapeutic target in colorectal cancer patients with high glucose levels (<xref ref-type="bibr" rid="B81">Shen et&#x20;al., 2020</xref>). It also could promote colorectal tumorigenesis <italic>via</italic> the m<sup>6</sup>A-GLUT1-mTORC1 axis. Combined targeting of METTL3 and mTORC1 showed promise for suppressing CRC proliferation, suggesting that METTL3 could also be an alternative therapeutic target in that disease (<xref ref-type="bibr" rid="B7">Chen et&#x20;al., 2021a</xref>). Deleting METTL3 from HeLa cells also decreased PDK4 expression and increased the cells&#x2019; sensitivity to doxorubicin (DOX) treatment (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>). However, ectopic overexpression of PDK4 attenuated this effect and reduced DOX sensitivity in cervical cancer cells. This suggests that PDK4 is involved in the proliferation and chemosensitivity of METTL3-cells (<xref ref-type="bibr" rid="B50">Li et&#x20;al., 2020c</xref>). Moreover, METTL3-silenced pancreatic cancer cells and glioma stem cells (GSCs) showed enhanced irradiation sensitivity (<xref ref-type="bibr" rid="B99">Visvanathan et&#x20;al., 2018</xref>) (<xref ref-type="bibr" rid="B94">Taketo et&#x20;al., 2018</xref>). High level of R-2HG expressed by mutant isocitrate dehydrogenase, was demonstrated to play important antitumor effect in glioma and leukemia cells by inhibiting FTO activity (<xref ref-type="bibr" rid="B92">Su et&#x20;al., 2018</xref>).</p>
<p>Recently, <xref ref-type="bibr" rid="B120">Yankova et&#x20;al. (2021)</xref> showed that STM2457, the small-molecule inhibitor targeting METTL3, might be a strategy for treating myeloid leukemia. Pharmacological METTL3 inhibition prolonged survival in AML mouse models (<xref ref-type="bibr" rid="B120">Yankova et&#x20;al., 2021</xref>). Intriguingly, treating tumors with STM2457 increased apoptosis and reduced AML growth (<xref ref-type="bibr" rid="B120">Yankova et&#x20;al., 2021</xref>). These results identified METTL3 inhibition as a promising therapeutic strategy for AML treatment and demonstrated that targeting enzymes that modify RNA is a new approach promising anticancer therapy (<xref ref-type="bibr" rid="B120">Yankova et&#x20;al., 2021</xref>). Depleting METTL3 from cells induced resistance to cisplatin, gemcitabine, and 5-fluorouracil in pancreatic cancer and non-small cell lung cancer (<xref ref-type="bibr" rid="B36">Jin et&#x20;al., 2019</xref>). Also, FTO inhibitors (FB23 and FB23-2) provide a therapeutic strategy for treating leukemia. Targeting regulators of RNA methylation have also shown promise in preclinical models, which are effective against AML, as exemplified by FB23 and FB23-2 (small-molecule inhibitors) of the m<sup>6</sup>A eraser FTO (<xref ref-type="bibr" rid="B34">Huang et&#x20;al., 2019</xref>).</p>
<p>By pharmacological approaches, FTO is broadly viewed as an attractive biological target. <xref ref-type="bibr" rid="B73">Peng et&#x20;al. (2019)</xref> found a small molecular inhibitor of FTO and selected m6A demethylase FTO as a potential target by developing a new strategy. By studying the molecular function of FTO in metabolism, they identified entacapone (FDA-approved drug) as a selective inhibitor of FTO activity involved in the regulation of metabolic homeostasis (<xref ref-type="bibr" rid="B73">Peng et&#x20;al., 2019</xref>). Entacapone bound to FTO and inhibited FTO activity. They conclude that the FTO-entacapone complex may be promising for designing new drug-like FTO inhibitors as translational medicine (<xref ref-type="bibr" rid="B73">Peng et&#x20;al., 2019</xref>). Furthermore, they discovered that the transcription factor forkhead box protein O1 (FOXO1) mRNA as a substrate of FTO, which Knockdown of FOXO1 through the inhibition of FTO could be used to treat metabolic dysregulation (<xref ref-type="bibr" rid="B73">Peng et&#x20;al., 2019</xref>).</p>
<p>Targeting YTHDF1 (a reader) might be another promising therapeutic approach, as (<xref ref-type="bibr" rid="B58">Liu et&#x20;al., 2020</xref>) identified the YTHDF1-EIF3C axis as a critical translational factor involved in ovarian cancer progression (<xref ref-type="bibr" rid="B58">Liu et&#x20;al., 2020</xref>). Chen and collaborators (2021) recently reported that YTHDF1 is associated positively with cisplatin resistance in colon cancer (<xref ref-type="bibr" rid="B7">Chen et&#x20;al., 2021a</xref>; <xref ref-type="bibr" rid="B10">Chen et&#x20;al., 2021b</xref>). Furthermore, inhibition of GLS1 synergized with cisplatin to induce cell death of colon cancer cells (<xref ref-type="bibr" rid="B10">Chen et&#x20;al., 2021b</xref>). Recently, <xref ref-type="bibr" rid="B42">Kumar et&#x20;al., 2021</xref> reviewed how components of EEE (Editor/Eraser/Effector) could become potential candidates for treating leukemia (<xref ref-type="bibr" rid="B42">Kumar et&#x20;al., 2021</xref>).</p>
<p>Regarding immunotherapy against cancer cells, FTO was identified as an essential regulator of glycolytic metabolism that tumors could use to escape immune surveillance (<xref ref-type="bibr" rid="B59">Liu et&#x20;al., 2021</xref>). Consistent with this idea, depleting FTO impaired the glycolytic activity of tumor cells to restore the CD8<sup>&#x2b;</sup> T&#x20;cell function needed to inhibit tumor growth (<xref ref-type="bibr" rid="B59">Liu et&#x20;al., 2021</xref>). Moreover, Dac51 (a small molecule) can block FTO-mediated immune evasion and control immunity, suggesting that RNA epitranscriptome could promise a new strategy for immunotherapy against cancer cells (<xref ref-type="bibr" rid="B59">Liu et&#x20;al., 2021</xref>).</p>
<p>On the other hand, <xref ref-type="bibr" rid="B118">Yang et&#x20;al. (2019)</xref> demonstrate that the effect of FTO knockdown on melanoma response to anti-PD-1 (a novel immunotherapies for the patient with melanomas) immunotherapy is dependent on the immune system. The combination of m<sup>6</sup>A demethylase FTO inhibition with anti-PD-1 blockade may reduce the resistance to immunotherapy in melanoma (<xref ref-type="bibr" rid="B118">Yang et&#x20;al., 2019</xref>). Additionally, FTO depletion sensitizes melanoma cells to interferon-gamma (IFN&#x3b3;) and sensitizes melanoma to anti-PD-1 treatment (<xref ref-type="bibr" rid="B118">Yang et&#x20;al., 2019</xref>). Their findings suggest a crucial role of FTO, which increases FTO&#x2019;s level, decreases response to anti-PD-1 blockade immunotherapy, and enhances tumor growth in melanoma (<xref ref-type="bibr" rid="B118">Yang et&#x20;al., 2019</xref>). One other recent study demonstrates that the YTHDF1 reader regulated antitumor immunity, a synergetic effect on immunotherapy by improving the therapeutic effect of PD-L1 inhibitors (<xref ref-type="bibr" rid="B30">Han et&#x20;al., 2019</xref>). Yan and collaborators demonstrate that FTO-m<sup>6</sup>A axis deregulation induces response to tyrosine kinase inhibitor (TKI) treatment in leukemia cells (<xref ref-type="bibr" rid="B116">Yan et&#x20;al., 2018</xref>). Cells with FTO upregulation have more TKI tolerance and higher growth rates in mice (<xref ref-type="bibr" rid="B116">Yan et&#x20;al., 2018</xref>). Currently, Li and collaborators demonstrated that the JPX/FTO/PDK1 axis could facilitate aerobic glycolysis in GBM cells, which was correlated with GBM cells&#x2019; sensitivity to temozolomide (TMZ). These findings provide valuable information for understanding that blocking the JPX/FTO/PDK1 axis may serve as a promising strategy for mitigating the efficacy of TMZ in GBM(<xref ref-type="bibr" rid="B48">Li et&#x20;al., 2021</xref>).</p>
<p>By elucidating the biological roles of m<sup>6</sup>A&#x2019;s modification in natural killer (NK) cells, Ma and collaborators uncovered a new direction for harnessing NK Cell antitumor immunity. YTHDF2 deficiency in NK Cells impaired NK Cells&#x2019; antitumor and antiviral activity <italic>in vivo</italic>. Upon activation by cytokines, YTHDF2 is upregulated in NK Cells. More interestingly, YTHDF2 promoted NK Cell effector function by inhibiting a STAT5-YTHDF2-positive feedback loop involved in tumor progression (<xref ref-type="bibr" rid="B63">Ma et&#x20;al., 2021</xref>). These findings suggested that m<sup>6</sup>A and its regulatory or associated proteins are involved in cancer progression. The development of new applicable inhibitors or the translation of existing inhibitors into clinical practice may provide innovative and effective therapeutic strategies for treatment (<xref ref-type="table" rid="T3">Table&#x20;3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Non-exhaustive list of Potential alternative therapeutic agents offers by m<sup>6</sup>A targeting modifications in cancer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">m<sup>6</sup>A proteins involved</th>
<th align="center">Drugs/Therapeutic agents</th>
<th align="center">Metabolites Pathways/Immune system</th>
<th align="center">Underlying mechanism and Key results</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">METTL3</td>
<td align="left">Doxorubicin (DOX)</td>
<td align="left">Glycolytic metabolism/Antitumor</td>
<td align="left">METTL3 depletion decreased PDK4 expression and increased sensitivity to doxorubicin treatment in cervical cancer cells</td>
<td align="left">
<xref ref-type="bibr" rid="B50">Li et&#x20;al. (2020c)</xref>
</td>
</tr>
<tr>
<td align="left">METTL3</td>
<td align="left">STM2457</td>
<td align="left">Antitumor</td>
<td align="left">STM2457 by targeting METTL3 increased apoptosis and reduced AML growth treating myeloid leukemia</td>
<td align="left">
<xref ref-type="bibr" rid="B120">Yankova et&#x20;al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">METTL3</td>
<td align="left">Cisplatin, Gemcitabine, 5-fluorouracil</td>
<td align="left">Antitumor</td>
<td align="left">Depleting METTL3 from cells induced resistance to cisplatin, gemcitabine, and 5-fluorouracil in pancreatic cancer and non-small cell lung cancer</td>
<td align="left">
<xref ref-type="bibr" rid="B36">Jin et&#x20;al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">METTL3</td>
<td align="left">Gamma-irradiation</td>
<td align="left">Antitumor</td>
<td align="left">METTL3-silenced pancreatic cancer cells and glioma stem cells showed enhanced irradiation sensitivity</td>
<td align="left">
<xref ref-type="bibr" rid="B99">Visvanathan et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">FTO</td>
<td align="left">R-2HG</td>
<td align="left">Metabolic regulation/ Antitumor</td>
<td align="left">R-2HG, highly expressed by isocitrate dehydrogenase, inhibit FTO and act an antitumor in glioma and leukemisa cells</td>
<td align="left">
<xref ref-type="bibr" rid="B92">Su et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">FTO</td>
<td align="left">Entacapone</td>
<td align="left">Metabolic regulation/Antitumor</td>
<td align="left">Entacapone bound to FTO and inhibited FTO activity involved in the regulation of metabolic homeostasis and amino acid metabolism</td>
<td align="left">
<xref ref-type="bibr" rid="B73">Peng et&#x20;al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">FTO</td>
<td align="left">FB23 and FB23-2</td>
<td align="left">Antitumor</td>
<td align="left">Targeting FTO, FB23 and FB23-2 are effective promise in preclinical models against acute myeloid leukemia</td>
<td align="left">
<xref ref-type="bibr" rid="B34">Huang et&#x20;al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">FTO</td>
<td align="left">Tyrosine kinase inhibitor (TKI)</td>
<td align="left">Immunity control</td>
<td align="left">Disregulated FTO help tumor cells to escape TKI-mediated killing and broad defense mechanism by which leukemia cells develop resistance mechanism to TKI</td>
<td align="left">
<xref ref-type="bibr" rid="B116">Yan et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">FTO</td>
<td align="left">Dac51</td>
<td align="left">Antitumor/Immunity control</td>
<td align="left">Small molecule Dac51 can block FTO-mediated immune evasion and control immunity against cancer cells</td>
<td align="left">
<xref ref-type="bibr" rid="B59">Liu et&#x20;al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">FTO</td>
<td align="left">Glycolytic agents</td>
<td align="left">Immunity control</td>
<td align="left">Disregulated complex FTO - glycolytic agents help tumor cells to escape immune surveillance</td>
<td align="left">
<xref ref-type="bibr" rid="B59">Liu et&#x20;al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">FTO</td>
<td align="left">Anti-PD-1 blockade</td>
<td align="left">Antitumor immunity</td>
<td align="left">Knockdown of FTO sensitizes melanoma cells to interferon-gamma (IFN&#x3b3;) and sensitizes melanoma to anti-PD-1 treatment in mice</td>
<td align="left">
<xref ref-type="bibr" rid="B118">Yang et&#x20;al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">FTO</td>
<td align="left">Temozolomide (TMZ)</td>
<td align="left">Glycolytic metabolism/Antitumor</td>
<td align="left">JPX/FTO/PDK1 axis facilitate aerobic glycolysis in GBM cells, and correlated with GBM cells&#x27; sensitivity to temozolomide</td>
<td align="left">
<xref ref-type="bibr" rid="B48">Li et&#x20;al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">YTHDF1</td>
<td align="left">Cisplatin</td>
<td align="left">Amino acid metabolism/Antitumor</td>
<td align="left">YTHDF1 is associated with cisplatin resistance in colon cancer.Inhibition of GLS1 synergized with cisplatin to induce cell death of colon cancer cells</td>
<td align="left">
<xref ref-type="bibr" rid="B10">Chen et&#x20;al. (2021b)</xref>
</td>
</tr>
<tr>
<td align="left">YTHDF1</td>
<td align="left">PD-L1 inhibitor</td>
<td align="left">Antitumor immunity</td>
<td align="left">YTHDF1 regulate antitumor immunity and have synergetic effect on immunotherapy by improving the therapeutic effect of PD-L1 inhibitor</td>
<td align="left">
<xref ref-type="bibr" rid="B30">Han et&#x20;al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">YTHDF2</td>
<td align="left">STAT5</td>
<td align="left">Immune response</td>
<td align="left">Upon activation by cytokines, YTHDF2 is upregulated in NK Cells. YTHDF2 promoted NK Cell effector function by inhibiting a STAT5-YTHDF2-positive feedback loop involved in tumor progression</td>
<td align="left">
<xref ref-type="bibr" rid="B63">Ma et&#x20;al. (2021)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s5">
<title>Conclusion and Perspectives</title>
<p>The connection between metabolism and tumorigenesis is attracting attention, and many gratifying results have revealed the link between the m<sup>6</sup>A modification and oncometabolite in cancer progression. The data demonstrates that the m<sup>6</sup>A modification regulators could act as promising candidates for diagnosis, prognosis, or treatment against cancer. Thus, designing a diagnostic profile for cancer is possible based on oncometabolite regulated by m<sup>6</sup>A. In this review, the potential crosstalk between m<sup>6</sup>A RNA methylation and metabolic control in tumorigenesis was described. These findings build a link between metabolic reprogramming and the m<sup>6</sup>A modification. As investigators have focused mostly on glucose metabolism and performed <italic>in&#x20;vitro</italic> studies with cell lines, their investigations need to be validated in animal models and clinical studies.</p>
<p>As integrated regulation of metabolism in cancers, the network of several major anabolic and catabolic pathways are important co-factors or substrates of the critical enzymes for RNA modifications. Since many of the metabolic alterations and consequently aberrated RNA regulation are common to a wide range of cancer types, they can serve as promising targets for anti-cancer therapies. Considering current efforts to target both cancer metabolism and regulation of the epigenome, it is still elusive to fully clarify the critical downstream factors functions mediated by some oncometabolite in cancer cells. Understanding the integrated metabolism in cancer cells may open new avenues for anti-cancer strategies. Therefore, determining metabolic differences between normal proliferating and cancer cells will be of great interest. Nevertheless, heterogeneity of tumors is yet another challenge, which is multiples phenotypes metabolic in multi-cellular systems. In addition, more researches should be conducted to better understand the molecular mechanisms among metabolic enzymes, transporters, transcription factors, and their pathways regulated by the m<sup>6</sup>A modification in cancer metabolism.</p>
<p>By pharmacological approach, evidence has shown that characterization of m<sup>6</sup>A writers and erasers proteins have provided valuable insights promising anti-cancer drugs targeting modification in cancer. While several small-molecule inhibitors targeting writers or erasers are either approved drugs or are currently being evaluated in clinical trials, the targeting m<sup>6</sup>A recognition proteins have lagged behind. After writers and erasers carry out methylation and demethylation, the readers determine the functional consequences of modification. Thus, more investigations and pharmacological research needs to target m<sup>6</sup>A readers in cancer progression to yield meaningful results.</p>
<p>Most importantly, attempts to target m<sup>6</sup>A pathways and their associated metabolic pathways need to consider immune cells, as m<sup>6</sup>A was recently reported to play roles in antitumor immunity, immune responses, and immunotherapy in cancers (<xref ref-type="bibr" rid="B59">Liu et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B63">Ma et&#x20;al., 2021</xref>). Such an approach will help us better understand and fully clarify how the dysregulation of metabolism by m<sup>6</sup>A in tumorigenesis jeopardizes immune surveillance. As well as regulating glucose, amino acids, and lipids, m<sup>6</sup>A can regulate other metabolites, such as SAM, SAH, IDH, R-2HG, vitamin C, and iron. It will be interesting to understand how the m<sup>6</sup>A modification affects those compounds and how that knowledge could enhance cancer treatment. As m<sup>6</sup>A often alters metabolism, some metabolites might also regulate the production, editing, and recognition of m<sup>6</sup>A to affect cancer progression. Due to this controversial idea, it will also be interesting to discover how metabolite signaling networks regulate m<sup>6</sup>A in cancer and how they, in turn, could be regulated.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Author Contributions</title>
<p>PY, JY and TL conceived the review. YM and XL wrote the manuscript. PY, JY and TL. revised the manuscript with feedback from YM and XL All authors approved the manuscript for publication.</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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