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<front>
<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">885133</article-id>
<article-id pub-id-type="doi">10.3389/fcell.2022.885133</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>The Key Role of RNA Modification in Breast Cancer</article-title>
<alt-title alt-title-type="left-running-head">Liu et al.</alt-title>
<alt-title alt-title-type="right-running-head">RNA Modification in Breast Cancer</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Yang</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1288242/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Tong</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1797651/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Yi</given-names>
</name>
<uri xlink:href="http://loop.frontiersin.org/people/1797708/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bu</surname>
<given-names>Jiawen</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1797609/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Xudong</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1802352/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gu</surname>
<given-names>Xi</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1576847/overview"/>
</contrib>
</contrib-group>
<aff>
<institution>Department of Oncology</institution>, <institution>Shengjing Hospital of China Medical University</institution>, <addr-line>Shenyang</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/1342448/overview">Hengyou Weng</ext-link>, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, 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/1310494/overview">Shuibin Lin</ext-link>, Sun Yat-sen University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1150093/overview">Danny Misiak</ext-link>, Martin Luther University of Halle-Wittenberg, Germany</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Xi Gu, <email>jadegx@163.com</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>01</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>885133</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Liu, Zhu, Jiang, Bu, Zhu and Gu.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Liu, Zhu, Jiang, Bu, Zhu and Gu</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>The modulation of the function and expression of epigenetic regulators of RNA modification has gradually become the hotspot of cancer research. Studies have shown that alteration of epigenetic modifications can promote the development and metastasis of breast cancer. This review highlights the progress in characterization of the link between RNA modification and the prognosis, carcinogenesis and treatment of breast cancer, which may provide a new theoretical basis for development of effective strategies for monitoring of breast cancer based on epigenetics.</p>
</abstract>
<kwd-group>
<kwd>RNA modification</kwd>
<kwd>breast cancer</kwd>
<kwd>m<sup>6</sup>A</kwd>
<kwd>carcinogenesis</kwd>
<kwd>treatment</kwd>
</kwd-group>
<contract-num rid="cn001">82103468</contract-num>
<contract-num rid="cn002">2020-MS-178</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>
<contract-sponsor id="cn002">Natural Science Foundation of Liaoning Province<named-content content-type="fundref-id">10.13039/501100005047</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Breast cancer is the most common female cancer in the world (<xref ref-type="bibr" rid="B32">Harbeck et al., 2019</xref>). Current treatments for breast cancer include surgery, chemotherapy, radiotherapy, hormone therapy and targeted therapy (<xref ref-type="bibr" rid="B6">Bray et al., 2018</xref>). However, comprehensive treatment strategies for breast cancer are still limited. Therefore, eradication of breast cancer remains a significant challenge, and there is an urgent need for new treatment strategies (<xref ref-type="bibr" rid="B71">Pedrosa et al., 2018</xref>). All biological macromolecules require post-synthesis and covalent modifications (<xref ref-type="bibr" rid="B62">Maresca and Wismayer, 2016</xref>). Over 100 different kinds of post-synthetic modifications have been identified to exist in RNA, and the four kinds of RNA bases and ribose can be targets for modification (<xref ref-type="bibr" rid="B33">He et al., 2019</xref>). Studies have shown that RNA can exert functional effects on the expression of gene in addition to acting as an effector of protein synthesis. Therefore, the importance of RNA modification has received increased attention, and studies have shown that dysregulation of RNA modification may be associated with human diseases, including breast cancer (<xref ref-type="bibr" rid="B37">Huang et al., 2020</xref>; <xref ref-type="bibr" rid="B5">Boccaletto et al., 2022</xref>). Herein, we review the progress of research focused on RNA modification and regulators of RNA modification in breast cancer.</p>
</sec>
<sec id="s2">
<title>Ribonucleic Acid Modification Regulatory Proteins in Breast Cancer</title>
<p>Eight different internal RNA modifications associated with a variety of cancers have been characterized: methylation of adenosine on position 6 on RNA to generate N 6-methyladenosine (m<sup>6</sup>A); methylation of cytidine on position 5 to produce RNA with 5-methylcytosine (m<sup>5</sup>C); methylation at position 1 of adenosine on tRNA to formN-1-methyladenosine (m<sup>1</sup>A); 7-methylguanosine (m<sup>7</sup>G); pseudouridylation of RNA to produce pseudouridine; editing of RNA adenosine to inosine; U34 modification of tRNA; N4-acetylcytidine (ac<sup>4</sup>C) (<xref ref-type="bibr" rid="B78">Rong et al., 2021</xref>). Modification of RNA is a dynamic process that includes insertions, deletions, and recognition <italic>via</italic> specific cellular components called &#x201c;writers,&#x201d; &#x201c;erasers&#x201d; and &#x201c;readers&#x201d; respectively.</p>
<sec id="s2-1">
<title>N6-Methyladenosine Methyltransferases</title>
<p>Dynamic and reversible RNA modification plays a key role in maintaining RNA balance, and can affect splicing, translation, degradation, and localization of RNA, resulting in the regulation of various biological functions in human disease (<xref ref-type="bibr" rid="B48">Li and Mason, 2014</xref>). Ribosomal RNA (rRNA) and transport RNA (tRNA) are the two most abundant RNAs. Post-transcriptional modifications are very common on rRNA and tRNA (<xref ref-type="bibr" rid="B25">Frye et al., 2018</xref>). Continuous development of technology to detect RNA modifications has allowed for identification of post-transcriptional modifications of messenger RNA (mRNA) and non-coding RNA (ncRNA) (<xref ref-type="bibr" rid="B117">Zhao et al., 2017</xref>). N6-methyladenosine (m<sup>6</sup>A) is the most common mRNA modification in mammals. In addition, m<sup>6</sup>A was shown to play an important role in stem cell self-renewal, metabolism and metastasis in multiple cancers (<xref ref-type="bibr" rid="B19">Dong et al., 2021</xref>; <xref ref-type="bibr" rid="B97">Wood et al., 2021</xref>). The methyltransferase complex (MTC), also known as the m<sup>6</sup>A &#x201c;writer,&#x201d; catalyzes m<sup>6</sup>A modification of adenylate on mRNA, and includes methyltransferase-like 3 (METTL3), methyltransferase-like 14 (METTL14), Wilms tumor 1 associated protein (WTAP), RNA binding motif protein 15/15B (RBM15/15B), Cbl proto-oncogene like 1 (CBLL1), zinc finger CCCH type containing 13 (ZC3H13), KIAA1429, CCHC-type zinc finger protein (ZCCHC4) and methyltransferase-like 16 (METTL16). METTL3 is a major catalytic enzyme in the N6-adenine methyltransferase system. The expression level of METTL3 is not consistent in each subtype of breast cancer (<xref ref-type="bibr" rid="B107">Yang et al., 2020</xref>). It was reported to play a tumor-suppressive role in triple-negative breast cancer (TNBC) while play an oncogenic role in other subtypes (<xref ref-type="bibr" rid="B83">Shi et al., 2020</xref>; <xref ref-type="bibr" rid="B34">He et al., 2021</xref>; <xref ref-type="bibr" rid="B79">Ruan et al., 2021</xref>). METTL14 stabilizes METTL3 and recognizes target RNA, which is found to be an oncogene or a tumor suppressor gene in breast cancer (<xref ref-type="bibr" rid="B27">Gong et al., 2020</xref>; <xref ref-type="bibr" rid="B89">Sun et al., 2020</xref>). WTAP is the main regulatory component of the m<sup>6</sup>A methylation complex, and has mutual effects with METTL3 and METTL14 to aid in nuclear localization. The expression of WTAP varied in different in breast cancer studies (<xref ref-type="bibr" rid="B99">Wu et al., 2019</xref>; <xref ref-type="bibr" rid="B93">Wang et al., 2022</xref>). RBM15/RBM15B interacts with spliceosome components to participate in the modulation of m<sup>6</sup>A modification in a WTAP-dependent manner. RBM15 was identified to be significantly high in TNBC (<xref ref-type="bibr" rid="B107">Yang et al., 2020</xref>). ZC3H13 is critical for anchoring regulatory complex in the nucleus. It was recognized as a tumorsupressor which positively related with tumor infiltrating lymphocytes (TILs) in the breast cancer (<xref ref-type="bibr" rid="B27">Gong et al., 2020</xref>). KIAA1429 is essential in the methylation process as a candidate new subunit in the methylase complex. High expression of KIAA1429 was associated with a poor prognosis in breast cancer (<xref ref-type="bibr" rid="B116">Zhang et al., 2022</xref>). CBLL1, as a co-regulator of m<sup>6</sup>A methylation, was proved to promote the apoptosis in breast cancer (<xref ref-type="bibr" rid="B118">Zheng F. et al., 2021</xref>). ZCCHC4, a novel methyltransferase in the mediating of ribosome methylation, has a high expression in the breast lesion compared with pancancerous tissue (<xref ref-type="bibr" rid="B74">Pinto et al., 2020</xref>). METTL16 targets ncRNAs, lncRNAs and pre-mRNAs which is critical in splicing regulation (<xref ref-type="bibr" rid="B88">Su et al., 2022</xref>).</p>
</sec>
<sec id="s2-2">
<title>N6-Methyladenosine Demethylases</title>
<p>The demethylases ALKB homolog 5 (ALKBH5) and fat mass and obesity-related protein (FTO), also known as &#x201c;m<sup>6</sup>A erasers,&#x201d; remove m<sup>6</sup>A using ferrous iron as a cofactor and &#x3b1;-ketoglutarate as a co-substrate (<xref ref-type="bibr" rid="B42">Jia et al., 2011</xref>; <xref ref-type="bibr" rid="B120">Zheng et al., 2013</xref>). ALKBH5 was higher in breast cancer tissue than in adjacent normal tissue of TNBC (<xref ref-type="bibr" rid="B95">Wang S. et al., 2020</xref>). FTO can oxidize m<sup>6</sup>A to N6-hydroxymethylsalicylic acid and N6-formyl adenosine, which can be hydrolyzed to adenine (<xref ref-type="bibr" rid="B26">Fu et al., 2013</xref>). The expression of FTO varied in different breast cancer studies. Most of studies show that down-regulation of FTO enhanced the phenotype of invasiveness, migration and EMT in breast cancer (<xref ref-type="bibr" rid="B41">Jeschke et al., 2021</xref>). But in other cases, FTO played an oncogenic role with a high expression in breast cancer (<xref ref-type="bibr" rid="B67">Niu et al., 2019</xref>).</p>
</sec>
<sec id="s2-3">
<title>N6-Methyladenosine Readers</title>
<p>The &#x201c;readers&#x201d; mainly include the YTH domain family (YTHDF) and heterogeneous nuclear ribonucleoproteins (hnRNPs) family, Insulin-like growth factor 2 mRNA-binding proteins (IGF2BPs) and YTH domain-containing protein (YTHDC) increase the translation levels of modified RNAs which recognize m<sup>6</sup>A, bind RNA and participate in regulatory functions (<xref ref-type="bibr" rid="B38">Huang et al., 2018</xref>; <xref ref-type="bibr" rid="B102">Xing et al., 2019</xref>; <xref ref-type="bibr" rid="B15">Dai X.-Y. et al., 2021</xref>). The YTHDF family includes three paralogs YTHDF1, YTHDF2 and YTHDF3, which can also be referred to as DF1, DF2, and DF3. DF1 promotes mRNA translation, DF2 promotes mRNA degradation, and DF3 promotes translation and degradation (<xref ref-type="bibr" rid="B112">Zaccara and Jaffrey, 2020</xref>). YTHDF1 and YTHDF3 were also found to overexpress in breast cancer (<xref ref-type="bibr" rid="B12">Chen et al., 2022</xref>; <xref ref-type="bibr" rid="B52">Lin et al., 2022</xref>). IGF2BP 2/3 and YTHDC2 were highly expressed in basal-like breast cancer (<xref ref-type="bibr" rid="B107">Yang et al., 2020</xref>). The overexpression of hnRNPc were related to poor prognosis in patients (<xref ref-type="bibr" rid="B60">Lv et al., 2021a</xref>), but hnRNPc A2/B1 was reported to negatively regulate the metastasis of breast cancer (<xref ref-type="bibr" rid="B56">Liu Y. et al., 2020</xref>). Although various readers, writers, and erasers may be independently associated with numerous changes in signaling pathways of cancer, there is evidence that writers, erasers and readers may have interplay with each other in cancer. Regulators in the same functional category show significant genetic changes and highly correlated expression patterns in cancer (<xref ref-type="bibr" rid="B51">Li et al., 2019</xref>). In addition, m<sup>6</sup>A methylation was involved in regulation of the malignant phenotypes of tumors by controlling the expression of tumor-related genes in breast cancer (<xref ref-type="bibr" rid="B4">Barbieri and Kouzarides, 2020</xref>; <xref ref-type="bibr" rid="B113">Zhang et al., 2020</xref>). Recent studies have shown that m<sup>5</sup>C, m<sup>1</sup>A, m<sup>7</sup>G, and recently discovered ac<sup>4</sup>C modifications, also play important roles in RNA processing and metabolism. For example, m<sup>5</sup>C could promote enucleation of mRNA through binding to its reader protein Aly/REF export factor (ALYREF) (<xref ref-type="bibr" rid="B108">Yang et al., 2017</xref>), m<sup>1</sup>A can affect the translation efficiency of its modified mRNA (<xref ref-type="bibr" rid="B50">Li et al., 2017</xref>; <xref ref-type="bibr" rid="B80">Safra et al., 2017</xref>), and ac<sup>4</sup>C stabilizes its modified mRNA and enhances translation efficiency (<xref ref-type="bibr" rid="B2">Arango et al., 2018</xref>).</p>
</sec>
<sec id="s2-4">
<title>5-Methylcytosine</title>
<p>The m<sup>5</sup>C modification is involved in the metastasis and proliferation of cancer cells, and the development of cancer stem cells. The currently identified writers of m<sup>5</sup>C genes include NOP2/Sun RNA methyltransferase 2 (NSUN2), NSUN6, tRNA aspartic acid methyltransferase 1 (TRDMT1), tRNA-specific methyltransferase 4B (TRM4B) and OsNSUN2 (<xref ref-type="bibr" rid="B7">Bujnicki et al., 2004</xref>; <xref ref-type="bibr" rid="B65">Moon and Redman, 2014</xref>; <xref ref-type="bibr" rid="B54">Liu et al., 2017</xref>; <xref ref-type="bibr" rid="B66">Muller et al., 2019</xref>; <xref ref-type="bibr" rid="B90">Tang et al., 2020</xref>; <xref ref-type="bibr" rid="B45">Li H. et al., 2021</xref>). The &#x201c;readers&#x201d; include ALYREF, DNA repair protein RAD52 homolog (RAD52) and Y-box binding protein 1 (YBX1) (<xref ref-type="bibr" rid="B108">Yang et al., 2017</xref>; <xref ref-type="bibr" rid="B11">Chen et al., 2020</xref>; <xref ref-type="bibr" rid="B104">Xue et al., 2021</xref>).</p>
</sec>
<sec id="s2-5">
<title>N1-Methyladenosine</title>
<p>The main modification of tRNA is m<sup>1</sup>A, which has also been found in 28SrRNA. The tRNA methyltransferase 10 homologue A (TRM)-TRM61 complex is the only known methyltransferase that catalyzes m<sup>1</sup>A modification (<xref ref-type="bibr" rid="B81">Saikia et al., 2010</xref>), and YTH protein family is a potential reader of m<sup>1</sup>A modifications (<xref ref-type="bibr" rid="B17">Dai et al., 2018</xref>). In addition, ALKBH3 is an eraser of m<sup>1</sup>A (<xref ref-type="bibr" rid="B49">Li et al., 2016</xref>).</p>
</sec>
<sec id="s2-6">
<title>7-Methylguanosine</title>
<p>The m<sup>7</sup>G modification was illustrated as part of the type O&#x2019; cap structure of mRNA and was also observed in rRNA and tRNA. The m<sup>7</sup>G maintained the integrity of structure mediated by the METTL1-WDR4 complex (<xref ref-type="bibr" rid="B16">Dai Z. et al., 2021</xref>). In addition, the m<sup>7</sup>G modification on rRNA is induced by Williams Beuren syndrome chromosome 22 region protein (WBSCR22) (<xref ref-type="bibr" rid="B31">Haag et al., 2015</xref>). Up-regulation of METTL1/WDR4 can promote the level of m<sup>7</sup>G modification on tRNAs, which in turn promotes the stability of tRNAs and the translation of mRNAs (<xref ref-type="bibr" rid="B44">Katsara and Schneider, 2021</xref>).</p>
</sec>
<sec id="s2-7">
<title>Pseudouridine</title>
<p>Pseudouridine can maintain the structure and stability of tRNA. The most-studied regulatory factor related to pseudouridine modification is Dyskerin Pseudouridine Synthase 1 (DKC1), which is a component of a small nucleolar ribonucleoprotein complex, needs RNA guidance to exert its catalytic activity, is overexpressed in various types of cancer.</p>
</sec>
<sec id="s2-8">
<title>Adenosine-to-Inosine Editing</title>
<p>Adenosine deaminases targeting RNA (ADARs) are effective in RNA editing, and are particularly important in the process of converting adenosine residues in double stranded RNA to creatinine (<xref ref-type="bibr" rid="B68">Ota et al., 2013</xref>). The ADAR1p110 subtype can regulate the stability of the chromosome terminal genome, and is required for continuous proliferation of cancer cells (<xref ref-type="bibr" rid="B85">Shiromoto et al., 2021</xref>).</p>
</sec>
<sec id="s2-9">
<title>U34 on Transport Ribonucleic Acid</title>
<p>Establishment of the U34 modification results from three steps: modification of U34 with an extender complex to produce 5-carboxymethyluridine (cm5U), transformation of cm5u to 5-methoxycarbonylmethyluridine (mcm5U) mediated by ALKBH8. Finally, thiolase, cytoplasmic trna2 thiolated protein 1 (CTU1), and CTU2 promote the formation of 5-methoxycarbonylmethyl-2-thiouridine (mcm5s2U) on specific tRNA (tRNAUUULys, tRNArUCGlu and tRNAAUGln) (<xref ref-type="bibr" rid="B77">Rapino et al., 2017</xref>).</p>
</sec>
<sec id="s2-10">
<title>N4-Acetylcytidine</title>
<p>N4-acetylcytodine (ac<sup>4</sup>C) is a conserved chemical modification in eukaryotes and prokaryotes. Early studies suggested that ac<sup>4</sup>C modifications mainly occurred on tRNA and 18SrRNA. Recent studies showed extensive ac<sup>4</sup>C modifications on mRNA, with similar abundance to the m<sup>7</sup>G cap modification on mRNA. To date, N-acetyltransferase 10 (NAT10) is the only protein known to have both an acetylase domain and an RNA-binding domain, and is therefore considered an RNA ac<sup>4</sup>C-modifying enzyme (<xref ref-type="bibr" rid="B82">Sas-Chen et al., 2020</xref>; <xref ref-type="bibr" rid="B106">Yang C. et al., 2021</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>Association of Ribonucleic Acid Modification and Breast Cancer Prognosis</title>
<p>Data from public databases and clinical studies have indicated that levels of RNA modification regulators have prognostic value for breast cancer (<xref ref-type="bibr" rid="B118">Zheng F. et al., 2021</xref>). Low expression of METTL3, METTL14, WTAP and FTO was shown to correlate with relapse-free survival in breast cancer (<xref ref-type="bibr" rid="B99">Wu et al., 2019</xref>). METTL3 was also demonstrated to be related with a poor survival rate in breast cancer (<xref ref-type="bibr" rid="B94">Wang H. et al., 2020</xref>). METTL14 and ZC3H13 were associated with favorable prognosis, and correlated with adenomatous polyposis coli (APC). Furthermore, ZC3H13, METTL14 and APC expression levels were positively related with the number of infiltrating immune cells in breast cancer (<xref ref-type="bibr" rid="B27">Gong et al., 2020</xref>). The regulators YTHDF1, YTHDF3 and KIAA1429 were found to be upregulated in breast cancer, and were associated with the metastasis of lymph nodes, breast cancer progression, and also were predictors of poor prognosis (<xref ref-type="bibr" rid="B53">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="B1">Anita et al., 2020</xref>; <xref ref-type="bibr" rid="B34">He et al., 2021</xref>). The demethylase ALKBH5 was found to be associated with poor prognosis in patients with TNBC (<xref ref-type="bibr" rid="B95">Wang S. et al., 2020</xref>). FTO was associated with short survival in Her-2 positive breast cancer (<xref ref-type="bibr" rid="B103">Xu et al., 2020</xref>). Non-coding RNAs such as miRNA, lncRNA, and circRNA, can undergo m<sup>6</sup>A modification, which regulates their expression and function. Ten m<sup>6</sup>A-modified lncRNAs-LINC00571, ANKRD10- IT1, LINC00593, miR-205HG, CIRBP- AS1, BLACAT1, SUCLG2- AS1, SAMD12- AS1, BVES-AS1, a18SrRNA nd HOXB-AS1 were used to construct a prognostic score model, and may be potential predictors of survival in patients with TNBC (<xref ref-type="bibr" rid="B98">Wu et al., 2021</xref>). A prognostic risk model comprised of six m<sup>6</sup>A-regulated lncRNAs-Z68871.1, AL122010.1, AL138724.1,OTUD6B-AS1, AC090948.3 and eosinophil granule ontogeny transcript (EGOT) for high-risk patients with tumor-infiltrating immune cells, indicated that m<sup>6</sup>A-regulated lncRNAs may modulate the immune microenvironment in breast cancer (<xref ref-type="bibr" rid="B61">Lv et al., 2021b</xref>). High expression of the m<sup>6</sup>A regulator hnRNPC, and low expression of hsa-miR-944, are associated with advanced stage breast cancer and poor prognosis (<xref ref-type="bibr" rid="B60">Lv et al., 2021a</xref>). Basal-like subtypes and other breast cancer subtypes are associated with the m<sup>6</sup>A regulators YTHDC2, IGF2BP2, IGF2BP3 and RBM15, and luminal A and B subtypes are classified into two clusters according to the methylation status of these four regulators. In addition, cluster1 has been found to be associated with cell adhesion signaling pathways and immune-associated genes of TILs. Furthermore, cluster1 was related to poor prognosis among patients with stage II and luminal B of breast cancer. The accuracy of diagnosis and efficacy of treatment may be improved by using m<sup>6</sup>A regulators as biomarkers of different subtypes (<xref ref-type="bibr" rid="B107">Yang et al., 2020</xref>). These studies indicated that METTL3, METTL14, WTAP, FTO, ALKBH5, and other N6-methyladenosine-related lncRNAs were associated with progression of breast cancer, and may be prognostic indicators. Changes in expression and activity of m<sup>6</sup>A modulators may promote breast cancer progression (<xref ref-type="bibr" rid="B13">Chen and Du, 2019</xref>; <xref ref-type="bibr" rid="B61">Lv et al., 2021b</xref>; <xref ref-type="bibr" rid="B115">Zhang et al., 2021</xref>) (<xref ref-type="table" rid="T1">Table 1</xref>). Few studies have mentioned m<sup>5</sup>C modifications and breast cancer, and most have focused on NSUN2. It was reported that NSUN2 expression was associated with tumor stage and pathological subtype of breast cancer. The m<sup>5</sup>C RNA methylation regulators NSUN2 and NSUN6 were predictors of survival and affected the progression and tumor immune microenvironment in TNBC (<xref ref-type="bibr" rid="B40">Huang Z. et al., 2021</xref>). Low expression of DKC1, rRNA pseudouridine modification, and decreased intrinsic ribosomal activity are associated with better breast cancer prognosis (<xref ref-type="bibr" rid="B22">Elsharawy et al., 2020</xref>; <xref ref-type="bibr" rid="B29">Guerrieri et al., 2020</xref>). In addition, the U34 modification enzymes ELP3, CTU1, and CTU2 were shown to be upregulated in breast cancer (<xref ref-type="bibr" rid="B18">Delaunay et al., 2016</xref>) (<xref ref-type="table" rid="T1">Table 1</xref>). Determination of the predictive value of mRNA m<sup>7</sup>G and m<sup>1</sup>A modifications, editing of RNA adenosine to inosine, U34 modification of tRNA, or ac<sup>4</sup>C-related effectors for tumor prognosis require further study.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>The main role of regulators of RNA modification related with prognosis of breast cancer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Gene</th>
<th align="center">Type of regulator</th>
<th align="center">Type of Modification</th>
<th align="center">Role in survival</th>
<th align="center">Role in tumor</th>
<th align="center">Expression in cancer</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">METTL3</td>
<td align="left">Writer</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Poor favorable</td>
<td align="left">Oncogene suppressor</td>
<td align="left">Upregulated downregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B94">Wang H et al. (2020)</xref>, <xref ref-type="bibr" rid="B99">Wu et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">METTL14</td>
<td align="left">Writer</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Favorable</td>
<td align="left">Suppressor</td>
<td align="left">Downregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B99">Wu et al. (2019)</xref>; <xref ref-type="bibr" rid="B27">Gong et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">WTAP</td>
<td align="left">Writer</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Favorable</td>
<td align="left">Suppressor</td>
<td align="left">Downregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B99">Wu et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">RBM15</td>
<td align="left">Writer</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Poor</td>
<td align="left">Oncogene</td>
<td align="left">Upregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B107">Yang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">ZC3H13</td>
<td align="left">Writer</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Favorable</td>
<td align="left">Suppressor</td>
<td align="left">Downregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B27">Gong et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">KIAA1429</td>
<td align="left">Writer</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Poor</td>
<td align="left">Oncogene</td>
<td align="left">Upregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B53">Liu et al. (2019)</xref>; <xref ref-type="bibr" rid="B116">Zhang et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">CBLL1</td>
<td align="left">Writer</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Favorable</td>
<td align="left">Suppressor</td>
<td align="left">Downregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B118">Zheng F et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">ALKBH5</td>
<td align="left">Eraser</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Poor</td>
<td align="left">Oncogene</td>
<td align="left">Upregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B95">Wang S et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">FTO</td>
<td align="left">Eraser</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Poor Favorable</td>
<td align="left">Oncogene suppressor</td>
<td align="left">Upregulated Downregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B103">Xu et al. (2020)</xref>, <xref ref-type="bibr" rid="B99">Wu et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">YTHDF1/3</td>
<td align="left">Reader</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Poor</td>
<td align="left">Oncogene</td>
<td align="left">Upregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B1">Anita et al. (2020)</xref>; <xref ref-type="bibr" rid="B34">He et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">hnRNPC</td>
<td align="left">Reader</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Poor</td>
<td align="left">Oncogene</td>
<td align="left">Upregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B60">Lv et al. (2021a)</xref>
</td>
</tr>
<tr>
<td align="left">hnRNPC A2B1</td>
<td align="left">Reader</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Favorable</td>
<td align="left">Suppressor</td>
<td align="left">Downregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B56">Liu Y et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">IGF2BP2</td>
<td align="left">Reader</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Poor</td>
<td align="left">Oncogene</td>
<td align="left">Upregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B107">Yang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">IGF2BP3</td>
<td align="left">Reader</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Poor</td>
<td align="left">Oncogene</td>
<td align="left">Upregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B107">Yang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">YTHDC2</td>
<td align="left">Reader</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Poor</td>
<td align="left">Oncogene</td>
<td align="left">Upregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B107">Yang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">NSUN2</td>
<td align="left">Writer</td>
<td align="left">m<sup>5</sup>C</td>
<td align="left">Poor</td>
<td align="left">Oncogene</td>
<td align="left">Upregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B40">Huang Z et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">NSUN6</td>
<td align="left">Writer</td>
<td align="left">m<sup>5</sup>C</td>
<td align="left">Favorable</td>
<td align="left">Suppressor</td>
<td align="left">Downregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B40">Huang Z et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">DKC1</td>
<td align="left">Writer</td>
<td align="left">Pseudouri dine</td>
<td align="left">Favorable</td>
<td align="left">Suppressor</td>
<td align="left">Downregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B22">Elsharawy et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">ELP3</td>
<td align="left">Writer</td>
<td align="left">U34</td>
<td align="left">Poor</td>
<td align="left">Oncogene</td>
<td align="left">Upregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B18">Delaunay et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">CTU1</td>
<td align="left">Writer</td>
<td align="left">U34</td>
<td align="left">Poor</td>
<td align="left">Oncogene</td>
<td align="left">Upregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B18">Delaunay et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">CTU2</td>
<td align="left">Writer</td>
<td align="left">U34</td>
<td align="left">Poor</td>
<td align="left">Oncogene</td>
<td align="left">Upregulated</td>
<td align="left">
<xref ref-type="bibr" rid="B18">Delaunay et al. (2016)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4">
<title>Roles of the Ribonucleic Acid Modification in the Carcinogenesis of Breast Cancer</title>
<p>Previous studies have proven that m<sup>6</sup>A levels were strongly associated with cancer, which indicated that m<sup>6</sup>A may play a crucial role in the occurrence or inhibition of malignant tumors (<xref ref-type="bibr" rid="B35">Helm and Motorin, 2017</xref>; <xref ref-type="bibr" rid="B64">Mohammad et al., 2019</xref>; <xref ref-type="bibr" rid="B28">Gu et al., 2020</xref>).</p>
<sec id="s4-1">
<title>Ribonucleic Acid Modification Regulators in the Proliferation, Invasion and Metastasis of Breast Cancer</title>
<p>The writer KIAA1429 promotes proliferation and metastasis of breast cancer by modulating cyclin-dependent kinase 1 (CDK1) (<xref ref-type="bibr" rid="B75">Qian et al., 2019</xref>). Studies showed that the increasing of METTL3 promoted proliferation and inhibited apoptosis in breast cancer by targeting Bcl-2 (<xref ref-type="bibr" rid="B94">Wang H. et al., 2020</xref>). Hepatitis B X-interacting protein (HBXIP) upregulated the expression of METTL3 by inhibiting the miRNA let-7g in another study. In addition, METTL3 activated HBXIP <italic>via</italic> m<sup>6</sup>A modification, which promoted cell proliferation in breast cancer as part of a positive feedback loop (<xref ref-type="bibr" rid="B8">Cai et al., 2018</xref>). On the contrary, METTL3 played an anti-tumor role by COL3A1 and circMETTL3/miR-34c-3p in TNBC (<xref ref-type="bibr" rid="B83">Shi et al., 2020</xref>; <xref ref-type="bibr" rid="B79">Ruan et al., 2021</xref>). The expression of circMETTL3 was also found to be increased in breast cancer, and promoted migration, proliferation and invasion of breast cancer cells by targeting miR-31-5p/CDK1 (<xref ref-type="bibr" rid="B46">Li Z. et al., 2021</xref>). A further study showed that the m<sup>6</sup>A levels were significantly upregulated in lung metastatic breast cancer cells, which promoted the translation, elongation, and mRNA stability of keratin 7 (KRT7), a key epithelial-to-mesenchymal transition (EMT)-associated protein, by targeting FTO and METTL3, thereby promoting lung metastasis of breast cancer cells. LINC00675 m<sup>6</sup>A methylation was increased by METTL3, which resulted in the interaction with miR-513b-5p and inhibition of cancerous properties of breast cancer (<xref ref-type="bibr" rid="B23">Fan and Wang, 2021</xref>). LNC942 directly bound to METTL14 and promoted the expression of METTL14 protein through a specific binding domain (&#x2b;176 to &#x2b;265), resulting in the regulation of m<sup>6</sup>A methylation of C-X-C motif chemokine receptor 4 (CXCR4) and cytochrome P450 family 1 subfamily B member 1 (CYP1B) to stabilize their expression and translation and mediate the onset and development of breast cancer (<xref ref-type="bibr" rid="B89">Sun et al., 2020</xref>). It was showed that METTL14 increased the expression of has-miR-146a-5p and promoted the invasion and migration of breast cancer (<xref ref-type="bibr" rid="B110">Yi et al., 2020</xref>). High level of FTO enhanced the expression of ARL5B by down-regulating miR-181b-3p to promote the invasion and migration of Her-2 positive breast cancer (<xref ref-type="bibr" rid="B103">Xu et al., 2020</xref>). FTO mediated m<sup>6</sup>A demethylation in a YTHDF2-dependent manner and promoted the proliferation and metastasis of breast cancer <italic>via</italic> inhibiting BCL2 interacting protein 3 (BNIP3) (<xref ref-type="bibr" rid="B67">Niu et al., 2019</xref>). IGF2BP1 was shown to bind to LINC00483 and promote the proliferation of breast cancer cells (<xref ref-type="bibr" rid="B76">Qiao et al., 2021</xref>). Furthermore, the overexpression of NSUN2 induced by DNA hypomethylation promoted the proliferation, invasiveness and migration of breast cancer cells (<xref ref-type="bibr" rid="B111">Yi et al., 2017</xref>). Little is known about the functional mechanisms of m<sup>1</sup>A-modified RNA. Therefore, epigenetic transcriptome research should focus on the function of m<sup>1</sup>A-modified RNA. The up-regulation of m<sup>1</sup>A demethylase ALKBH3 was shown to be involved in decay of macrophage-colony stimulating factor-1 (CSF-1) mRNA, which resulted in promoting breast cancer cell invasiveness (<xref ref-type="bibr" rid="B96">Woo and Chambers, 2019</xref>) (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Diagram of RNA modification regulators playing a vital role in the proliferation, invasion and metastasis of breast cancer. METTL3 promoted the proliferation, invasion and metastasis by targeting Bcl-2, while it reduced the expression of COL3A1 to inhibit the metastasis of breast cancer. LINC00675 m<sup>6</sup>A methylation induced by METTL3 resulted in the inhibiting miR-513b-5p to suppress malignant phenotype breast cancer. LncMALAT1 increased/HMGA2 to facilitate the proliferation, invasion and metastasis of breast cancer cells by inhibiting miR-26b. LNC942 directly bound to METTL14 resulting in regulation of m<sup>6</sup>A methylation of CXCR4 and CYP1B1 and mediate the onset and development of breast cancer. METTL14 also increased the expression of has-miR-146a-5p to promote invasion and migration of breast cancer. The writer KIAA1429 promoted the proliferation and metastasis of breast cancer by regulating CDK1, whereas circMETTL3 promoted the progression of breast cancer cells by targeting miR-31-5p/CDK1. FTO enhanced ARL5B by down-regulating miR-181b-3p to promote the invasion and migration of breast cancer. It also mediated m<sup>6</sup>A demethylation by YTHDF2 to enhance the proliferation and metastasis of breast cancer <italic>via</italic> inhibiting BNIP3. IGF2BP1 promote proliferation of breast cancer by binding to LINC00483. ALKBH3 induced the decay of CSF-1 to promote breast cancer cell invasiveness.</p>
</caption>
<graphic xlink:href="fcell-10-885133-g001.tif"/>
</fig>
</sec>
<sec id="s4-2">
<title>Ribonucleic Acid Modification Regulators in the Breast Cancer Stem-Like Cells, Metastasis, Epithelial-to-Mesenchymal Transition, Glycosis and Immune Escape of Breast Caner</title>
<p>METTL3 was shown to methylate adenine 877 on the antisense nucleotide chain KRT7-AS of KRT7, which was recognized by IGF2BP1 and recruited the effector molecule HuR to increase the stability of the KRT7 and KRT7-AS complexes (<xref ref-type="bibr" rid="B10">Chen et al., 2021</xref>). METTL3 was demonstrated to upregulate PD-L1 expression <italic>via</italic> IGF2BP3 by m<sup>6</sup>A-dependent manner to modulate immune surveillance in breast cancer (<xref ref-type="bibr" rid="B92">Wan et al., 2022</xref>). The high level of METTL3 induced EMT, invasion and migration by targeting MALAT1/miR-26b/HMGA2 axis (<xref ref-type="bibr" rid="B47">Li et al., 2022</xref>). DROSHA RNase III was upregulated in a number of cancers and interacted with &#x3b2;-catenin to activate stanniocalcin 1 (STC1) in an RNA cleavage-independent manner, which in turn contributed to the properties of breast cancer stem-like cells (BCSCs). Aurora kinase A (AURKA)-induced m<sup>6</sup>A modification in BCSCs enhanced DROSHA mRNA stability. In addition, AURKA stabilized METTL14 by inhibiting its ubiquitination and degradation, thereby promoting methylation of DROSHA mRNA. Furthermore, binding of AURKA to DROSHA transcripts induced by IGF2BP2 to stabilize m<sup>6</sup>A-modified DROSHA, which enhanced BCSC stemness (<xref ref-type="bibr" rid="B72">Peng et al., 2021</xref>). Complement C5a receptor 1 (C5aR1)-positive neutrophils secreted IL (Interleukin) 1&#x3b2; and tumor necrosis factor &#x3b1; (TNF&#x3b1;) to synergistically activate ERK1/2, which resulted in phosphorylation of WTAP at serine 341, thereby stabilizing WTAP protein to promote RNA m<sup>6</sup>A methylation of enolase 1 (ENO1) and affected the glycolysis of breast cancer cells (<xref ref-type="bibr" rid="B69">Ou et al., 2021</xref>). The overexpression of writer KIAA1429 was shown to bind the 3&#x2032;-UTR of structural maintenance of chromosomes 1A (SMC1A) to promote EMT in breast cancer (<xref ref-type="bibr" rid="B116">Zhang et al., 2022</xref>). Down-regulation of FTO was shown to increase adenine methylation at position 950 on KRT7 mRNA, and enhanced the elongation efficiency of translation by recruiting the effector molecule eEF-1 through the recognition protein YTHDF1. The overexpression of FTO and knockdown of METTL3 and KRT7 reduced lung metastasis (<xref ref-type="bibr" rid="B10">Chen et al., 2021</xref>). ALKBH5 or ZNF217 mediated demethylation of m<sup>6</sup>A in Nanog and KLF4 mRNA. The depleting of ALKBH5 reversed the pluripotency of breast cancer by inhibiting Nanog under hypoxic condition (<xref ref-type="bibr" rid="B114">Zhang et al., 2016</xref>). YTHDF3 enhanced the translation of m<sup>6</sup>A-enriched transcripts of ST6 beta-galactoside alpha-2, 6-sialyltransferase 5 (ST6GALNAC5), gap junction protein alpha 1 (GJA1), epidermal growth factor receptor (EGFR) and vascular endothelial growth factor (VEGF), which promoted breast cancer metastasis to the brain (<xref ref-type="bibr" rid="B9">Chang et al., 2020</xref>). Apoptosis was shown to be triggered by the inhibition of YTHDF2-dependent mRNA degradation in TNBC through MAPK pathway-dependent induction of the EMT, and increased the global translation of mRNA synthesis in MYC-driven breast cancers (<xref ref-type="bibr" rid="B21">Einstein et al., 2021</xref>). The Lnc RNA KB-1980E6.3 facilitated BCSC self-renewal and carcinogenesis under hypoxic condition. In addition, IGF2BP1 was shown to be recruited by LncRNA KB-1980E6.3 to strengthen the stability of c-Myc mRNA (<xref ref-type="bibr" rid="B121">Zhu et al., 2021</xref>). A study showed that CircBACH2 sponged hsa-miR-944, which resulted in MAPK signaling pathway-dependent up-regulation of hnRNPC expression and promotion of breast cancer cell proliferation (<xref ref-type="bibr" rid="B60">Lv et al., 2021a</xref>) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Diagram summarizing RNA modification regulators in the pathogensis of BCSC, metastasis, EMT, glycosis and immune escape of breast caner. BCSC: Binding of AURKA to DROSHA transcripts induced by IGF2BP2 to enhance BCSC stemness, meanwhile DROSHA interacted with &#x3b2;-catenin to contribute to the BCSC property by activating STC1. ALKBH5 or ZNF21 increased Nanog and KLF4 mRNA expression by m<sup>6</sup>A methylation, which led to pluripotency of breast cancer under hypoxic condition. The Lnc RNA KB-1980E6.3 facilitated BCSC self-renewal by IGF2BP1/c-Myc axis under hypoxic condition. Metastasis:YTHDF3 enhanced translation of ST6GALNAC5, GJA1, EGFR and VEFG to promote breast cancer metastasis to the brain. METTL3 and FTO promoted lung metastasis of breast cancer by KRT7 <italic>via</italic> suppressing YTHDF1/eEf1 complex and increasing IGF2BP1/HuR complex. EMT: YTHDF2 induced EMT by activating MAPK pathway. KIAA1429 promoted EMT by SMC1A/SNAIL in breast cancer. Glysosis: C5aR1-positive neutrophils secreted IL-1&#x3b2; and TNF&#x3b1; to synergistically activate ERK1/2, which resulted in the stabilizing WTAP to affect the glycolysis of breast cancer <italic>via</italic> ENO1. Immune surveillance: METTL3 upregulate PD-L1 <italic>via</italic> IGF2BP3 by m<sup>6</sup>A-dependent manner to modulate immune escape and T cell exhausition in breast cancer.</p>
</caption>
<graphic xlink:href="fcell-10-885133-g002.tif"/>
</fig>
<p>The effects of RNA modification of target genes on progression of breast cancer depends on three factors: 1) the gene is a suppressor or an oncogene; 2) abnormal levels of RNA methylation in cancer; 3) Regulation of target mRNA modification. Taken together, the current study of m<sup>6</sup>A RNA methylation in tumors is still at an early stage. RNA modification and its regulators seem to act as a &#x201c;double-edged sword&#x201d; in the tumor development, so it is challenging to rationally interpret the controversial findings. It is the functional versatility and tunability of this modification that underscores the important role of the environment in biological process. Therefore, the function of RNA modification may be more complex and extensive than the existing reports, and further exploration of its role in different cancers is expected to provide in-depth insights into tumorigenesis and development.</p>
</sec>
</sec>
<sec id="s5">
<title>Ribonucleic Acid Modifications as Potential Drug Targets in Breast Cancer</title>
<p>Modification of RNA connects epigenetic transcriptomics with tumorigenesis and progression, and affects the processes of stem cell self-renewal and differentiation, proliferation and apoptosis, invasion and metastasis, drug resistance, and immunosuppression. Therefore, the key proteins involved in RNA modification are expected to become potential molecular targets for cancer diagnosis and treatment. To date, a number of small-molecule inhibitors that specifically target regulators of RNA methylation have shown great potential for suppression of carcinogenesis. For example, METTL3, METTL14 and WTAP were shown to be predictors of response to chemotherapy and hormone treatment (<xref ref-type="bibr" rid="B86">Song et al., 2021</xref>). S-adenosylhomocysteine (SAH) can be hydrolyzed to produce adenosine (adenine) and homocysteine, which can inhibit cellular methyltransferase activity through substrate inhibition, and regulates transmethylation through inhibition of METTL3-METTL14 activity (<xref ref-type="bibr" rid="B20">Eckert et al., 2019</xref>). The expression of MALAT1 was shown to be enhanced by METTL3 through recruitment of E2F transcription factor 1 (E2F1), resulting in transcription of anterior gradient 2 (AGR2), and subsequent adriamycin resistance in breast cancer (<xref ref-type="bibr" rid="B47">Li et al., 2022</xref>). In a further study, METTL3 also promoted maturation of miRNA-221-3p in an m<sup>6</sup>A-dependent manner, which negatively regulated HIPK2, upregulated the target gene Che-1, and induced chemoresistance of breast cancer cells to doxorubicin (<xref ref-type="bibr" rid="B70">Pan et al., 2021</xref>).</p>
<p>Adenylate kinase 4 (AK4) and the m<sup>6</sup>A writer METTL3 are highly expressed in tamoxifen-resistant breast cancer cell lines, and METTL3 was shown to promote tamoxifen resistance in breast cancer by promoting AK4 expression, reducing the production level of reactive oxygen species (ROS), and decreasing the activity of p38 (<xref ref-type="bibr" rid="B55">Liu X. et al., 2020</xref>). Metformin was found to inhibit the proliferation of breast cancer cells through upregulation of P21 in an m<sup>6</sup>A-dependent manner <italic>via</italic> METTL3 (<xref ref-type="bibr" rid="B14">Cheng et al., 2021</xref>). STM2457 is an orally bioavailable small molecule METTL3 inhibitor that are slated for human clinical trials by targeting a novel mechanism for the treatment of acute myeloid leukemia and other solid and hematological cancers (<xref ref-type="bibr" rid="B109">Yankova et al., 2021</xref>). In addition, WTAP binds to the m<sup>6</sup>A modified site of lncRNA DLGAP1 antisense RNA 1 (DLGAP1-AS1) to sponge miR-299-3p, resulting in adriamycin resistance in breast cancer (<xref ref-type="bibr" rid="B39">Huang T. et al., 2021</xref>). The inhibitor of 2-oxoglutarate oxygenase (OG) oxidase, IOX1, significantly inhibited ALKBH5 activity. Protein arginine methyltransferase 5 (PRMT5) inhibits doxorubicin-treated RNA m<sup>6</sup>A modification by promoting nuclear translocation of ALKBH5 (<xref ref-type="bibr" rid="B100">Wu et al., 2022</xref>). The applying of PRMT5 inhibitor tadalafil improves the chemosensitivity of Doxorubicin in breast cancer by modulating RNA methylation (<xref ref-type="bibr" rid="B100">Wu et al., 2022</xref>). The most widely studied RNA methylation regulator is FTO (<xref ref-type="bibr" rid="B13">Chen and Du, 2019</xref>). A few potent inhibitors of FTO have been reported in the literature, namely FG-2216/IOX3, FB23-2, rhein, meclofenamic acid (MA), entacapone, bisantren and brequinar (<xref ref-type="bibr" rid="B63">Mcmurray et al., 2015</xref>; <xref ref-type="bibr" rid="B91">Van Der Werf and Jamieson, 2019</xref>; <xref ref-type="bibr" rid="B87">Su et al., 2020</xref>; <xref ref-type="bibr" rid="B101">Xiao et al., 2020</xref>; <xref ref-type="bibr" rid="B105">Yang B. et al., 2021</xref>; <xref ref-type="bibr" rid="B59">Lv et al., 2022</xref>). FTO was shown to promote tumor glycolysis and limit the response of T cells. The FTO inhibitor Dac51 increased CD8&#x2b; T cell infiltration and acted in synergy with anti-PD-L1 blockade (<xref ref-type="bibr" rid="B58">Liu Y. et al., 2021</xref>). MA is a highly selective FTO inhibitor relative to ALKBH5 by using high-throughput fluorescence polarization analysis (<xref ref-type="bibr" rid="B119">Zheng Q.-K. et al., 2021</xref>). The overexpression of m<sup>6</sup>A reader hnRNPA2B1 (A2B1) resulted in tamoxifen and fulvestrant resistance, and decreased migration and invasion in TAM-resistant cells through activation of the protein kinase B (AKT) and mitogen-activated protein kinase (MAPK) signaling pathways (<xref ref-type="bibr" rid="B73">Petri et al., 2021</xref>). Transcription factor 3 (ATF3) was highly expressed in tamoxifen-resistant breast cancer, and was regulated by low expression of YTHDF2. Moreover, ATF3 enhanced the expression of ATP binding cassette subfamily B member 1 (ABCB1), which promotes tamoxifen resistance (<xref ref-type="bibr" rid="B57">Liu X. et al., 2021</xref>).</p>
<p>Through regulation by NSUN2, m<sup>5</sup>C modifications were shown to be involved in the onset of various cancers, and may be potential targets for cancer treatment (<xref ref-type="bibr" rid="B40">Huang Z. et al., 2021</xref>; <xref ref-type="bibr" rid="B36">Hu et al., 2021</xref>). The expression of NSUN2 could be reduced by the inhibition of sphingosine kinase (SPHK), which is involved in sphingolipid metabolism in cell growth. Therefore, the SPHK1 inhibitor SK1 may be a latent drug for treatment through modulation of NSUN2 expression (<xref ref-type="bibr" rid="B30">Guo et al., 2021</xref>). In addition, the m<sup>5</sup>C &#x201c;reader&#x201d; Y-box-binding-protein 1 (YBX1) is highly expressed in certain cisplatin-resistant cancers. A study showed that the YBX1 phosphorylation inhibitors including TAS0612 (multikinase inhibitor) and everolimus (rapamycin complex 1 inhibitor) mitigated antiestrogen resistance in breast cancer (<xref ref-type="bibr" rid="B84">Shibata et al., 2020</xref>). However, the effects of YBX1 inhibitors on drug resistance in breast cancer require further investigation (<xref ref-type="bibr" rid="B43">Jiang et al., 2022</xref>). Three inhibitors were developed based on the interaction between DKC1 and TERC to inhibit telomerase activity in breast cancer cell lines, which may aid in development of pseudouridine synthase inhibitors for treatment of cancer (<xref ref-type="bibr" rid="B3">Armando et al., 2018</xref>).</p>
<p>Modulating abnormal RNA modification levels can inhibit the occurrence and development of tumors (<xref ref-type="fig" rid="F3">Figure 3</xref>). Although some RNA modification enzyme inhibitors have shown potential inhibitory effects in a variety of cancers (<xref ref-type="table" rid="T2">Table 2</xref>), more drugs and new therapeutic strategies related to RNA modification remain to be explored and requested in the clinical trials.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Diagram of RNA modification regulators inducing drugs resistance in breast cancer. METTL3 increased the expression of MALAT1 to activate AGR2 by recruiting E2F1 and subsequent adriamycin resistance in breast cancer. METTL3 also promoted maturation of miRNA-221-3p in a m<sup>6</sup>A-dependent manner and negatively regulated HIPK2 and upregulated Che-1 which induced chemoresistance of breast cancer cells to doxorubicin. METTL3 promoted tamoxifen resistance by promoting AK4 expression, reducing the production of ROS and decreasing the activity of p38. WTAP binds to DLGAP1-AS1 and sponged miR-299-3p to confer adriamycin resistance in breast cancer. A2B1 induced tamoxifen and fulvestrant resistance by AKT/MAPK signaling pathways. YTHDF2 downregulated ATF3 to activate ABCB1, resulting in tamoxifen resistance of breast cancer.</p>
</caption>
<graphic xlink:href="fcell-10-885133-g003.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>The potential drugs applied in the treatment of breast cancer based on the RNA modification.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Drug</th>
<th align="center">Target regulators</th>
<th align="center">Modification</th>
<th align="center">Target</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">S-adenosylhomocysteine (SAH)</td>
<td align="left">METTL3-METTL14</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Inhibit the activity of methyltransferase</td>
<td align="left">
<xref ref-type="bibr" rid="B20">Eckert et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Metformin</td>
<td align="left">METTL3</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Inhibit the proliferation of breast cancer cell by upregulating P21</td>
<td align="left">
<xref ref-type="bibr" rid="B14">Cheng et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">STM2457</td>
<td align="left">METTL3</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Inhibit METTL3</td>
<td align="left">
<xref ref-type="bibr" rid="B109">Yankova et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Tadalafil</td>
<td align="left">ALKBH5</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Inhibit doxorubicin-induced RNA methylation</td>
<td align="left">
<xref ref-type="bibr" rid="B100">Wu et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">FB23-2</td>
<td align="left">FTO</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Inhibit FTO</td>
<td align="left">
<xref ref-type="bibr" rid="B91">Van Der Werf and Jamieson, (2019)</xref>
</td>
</tr>
<tr>
<td align="left">FG-2216/IOX3</td>
<td align="left">FTO</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Inhibit FTO</td>
<td align="left">
<xref ref-type="bibr" rid="B105">Yang B et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Rhein</td>
<td align="left">FTO</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Inhibit FTO</td>
<td align="left">
<xref ref-type="bibr" rid="B59">Lv et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Entacapone</td>
<td align="left">FTO</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Inhibit FTO</td>
<td align="left">
<xref ref-type="bibr" rid="B63">Mcmurray et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">MA</td>
<td align="left">FTO</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Inhibit FTO</td>
<td align="left">
<xref ref-type="bibr" rid="B101">Xiao et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Bisantren</td>
<td align="left">FTO</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Inhibit FTO</td>
<td align="left">
<xref ref-type="bibr" rid="B87">Su et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Brequinar</td>
<td align="left">FTO</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Inhibit FTO</td>
<td align="left">
<xref ref-type="bibr" rid="B87">Su et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Dac51</td>
<td align="left">FTO</td>
<td align="left">m<sup>6</sup>A</td>
<td align="left">Increased CD8&#x2b; T cell infiltration and synergistic effect with anti-PD-L1 blockade</td>
<td align="left">
<xref ref-type="bibr" rid="B58">Liu Y et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">SPHK</td>
<td align="left">NSUN2</td>
<td align="left">m<sup>5</sup>C</td>
<td align="left">Maintained the metabolic balance of sphingolipids</td>
<td align="left">
<xref ref-type="bibr" rid="B30">Guo et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">TAS0612</td>
<td align="left">YBX1</td>
<td align="left">m<sup>5</sup>C</td>
<td align="left">Overcome anti-estrogen resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B84">Shibata et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Everolimus</td>
<td align="left">YBX1</td>
<td align="left">m<sup>5</sup>C</td>
<td align="left">Overcome anti-estrogen resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B84">Shibata et al. (2020)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s6">
<title>Future Directions</title>
<p>Research on tumor-related RNA modification is still in its infancy. Increasing number of novel RNA modifications are gradually discovered, such as RNA glycosylation modification, which is remarkably suggested that glycoRNA may play an important role in physiological and pathological processes including host immune defense, tumor immune escape, and autoimmune diseases (<xref ref-type="bibr" rid="B24">Flynn et al., 2021</xref>). It is also necessary to develop new technologies to discover new type of RNA modification. Further studies on the role of RNA methylation in the immune response will provide broader prospects for immunotherapy and prevention of tumor drug resistance. In terms of clinical application, it is of great significance to continue to explore whether RNA modification-related proteins could be potential diagnostic and therapeutic targets. Development of more specific and effective regulators of RNA modification is expected to result in new options for tumor treatment. In the context of disease treatment, small molecule inhibitors that can target RNA methylation-related effector proteins may have great promise. Demonstration of preclinical efficacy of these targeted drugs may result in future clinical use of RNA epigenetic drugs.</p>
</sec>
<sec sec-type="conclusion" id="s7">
<title>Conclusion</title>
<p>RNA methylation has been shown to exert tumor-promoting or tumor-suppressive activities, and is involved in the onset, development, and metastasis of breast cancer. The critical role of tumor-specific effects of RNA methylation provides insights into prognosis, pathogenesis, and treatment response in breast cancer. Design of novel therapeutics through targeted RNA modifications is an international research hotspot and may have profound implications in translational medicine application in breast cancer.</p>
</sec>
</body>
<back>
<sec id="s8">
<title>Author Contributions</title>
<p>Conception and design: XG and YL. Drafting of the manuscript: TZ, YL and JB. Drawing of figures: YJ, JB, and XZ. Conceiving and Critical revision of the manuscript for important intellectual content: XG and YL. All authors read and approved the final manuscript.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This work was supported by the National Natural Science foundation of China (Grant No. 82103468 to YL), Natural Science foundation of Liaoning Province of China (Grant No. 2020-MS-178 to XG) and 345 Talent Project of Shengjing Hospital of China Medical University (M0961 to YL).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<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="s11">
<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>
<ack>
<p>We thank Charlesworth Author Service (<ext-link ext-link-type="uri" xlink:href="https://www.cwauthors.com.cn/">https://www.cwauthors.com.cn/</ext-link>) for editing this manuscript.</p>
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<sec id="s12">
<title>Glossary</title>
<def-list>
<def-item>
<term id="G1-fcell.2022.885133">
<bold>APC</bold>
</term>
<def>
<p>adenomatous polyposis coli</p>
</def>
</def-item>
<def-item>
<term id="G2-fcell.2022.885133">
<bold>ABCB1</bold>
</term>
<def>
<p>ATP binding cassette subfamily B member 1</p>
</def>
</def-item>
<def-item>
<term id="G3-fcell.2022.885133">
<bold>ARL5B</bold>
</term>
<def>
<p>ADP ribosylation factor like GTPase5B</p>
</def>
</def-item>
<def-item>
<term id="G4-fcell.2022.885133">
<bold>AGR2</bold>
</term>
<def>
<p>anterior gradient 2</p>
</def>
</def-item>
<def-item>
<term id="G5-fcell.2022.885133">
<bold>AK4</bold>
</term>
<def>
<p>adenylate kinase 4</p>
</def>
</def-item>
<def-item>
<term id="G6-fcell.2022.885133">
<bold>ADARs</bold>
</term>
<def>
<p>adenosine deaminases acting on RNA</p>
</def>
</def-item>
<def-item>
<term id="G7-fcell.2022.885133">
<bold>ALKBH5</bold>
</term>
<def>
<p>Demethylases ALKB homolog 5</p>
</def>
</def-item>
<def-item>
<term id="G8-fcell.2022.885133">
<bold>ac</bold>
<sup>
<bold>4</bold>
</sup>
<bold>C</bold>
</term>
<def>
<p>N4-acetylcytodine</p>
</def>
</def-item>
<def-item>
<term id="G9-fcell.2022.885133">
<bold>AURKA</bold>
</term>
<def>
<p>aurora kinase a</p>
</def>
</def-item>
<def-item>
<term id="G10-fcell.2022.885133">
<bold>ATF3</bold>
</term>
<def>
<p>transcription factor 3</p>
</def>
</def-item>
<def-item>
<term id="G11-fcell.2022.885133">
<bold>BNIP3</bold>
</term>
<def>
<p>BCL2 Interacting Protein 3</p>
</def>
</def-item>
<def-item>
<term id="G12-fcell.2022.885133">
<bold>C5aR1</bold>
</term>
<def>
<p>C5a Receptor 1</p>
</def>
</def-item>
<def-item>
<term id="G13-fcell.2022.885133">
<bold>COL3A1</bold>
</term>
<def>
<p>collagen type III alpha 1 chain</p>
</def>
</def-item>
<def-item>
<term id="G14-fcell.2022.885133">
<bold>CTU1</bold>
</term>
<def>
<p>cytoplasmic trna2 thiolated protein 1</p>
</def>
</def-item>
<def-item>
<term id="G15-fcell.2022.885133">
<bold>CDS</bold>
</term>
<def>
<p>coding sequence</p>
</def>
</def-item>
<def-item>
<term id="G16-fcell.2022.885133">
<bold>CDK1</bold>
</term>
<def>
<p>cyclin-dependent kinase 1</p>
</def>
</def-item>
<def-item>
<term id="G17-fcell.2022.885133">
<bold>CYP1B1</bold>
</term>
<def>
<p>cytochrome p450 family 1 subfamily B member 1</p>
</def>
</def-item>
<def-item>
<term id="G18-fcell.2022.885133">
<bold>CSF-1</bold>
</term>
<def>
<p>macrophage-colony stimulating factor-1</p>
</def>
</def-item>
<def-item>
<term id="G19-fcell.2022.885133">
<bold>DLGAP1-AS1</bold>
</term>
<def>
<p>lncRNA DLGAP1 antisense RNA 1</p>
</def>
</def-item>
<def-item>
<term id="G20-fcell.2022.885133">
<bold>eIF3</bold>
</term>
<def>
<p>eukaryotic initiation factor 3</p>
</def>
</def-item>
<def-item>
<term id="G21-fcell.2022.885133">
<bold>EGFR</bold>
</term>
<def>
<p>epidermal growth factor receptor</p>
</def>
</def-item>
<def-item>
<term id="G22-fcell.2022.885133">
<bold>EMT</bold>
</term>
<def>
<p>epithelial-to-mesenchymal transition</p>
</def>
</def-item>
<def-item>
<term id="G23-fcell.2022.885133">
<bold>ENO1</bold>
</term>
<def>
<p>enolase 1</p>
</def>
</def-item>
<def-item>
<term id="G24-fcell.2022.885133">
<bold>EGOT</bold>
</term>
<def>
<p>eosinophil granule ontogeny transcript</p>
</def>
</def-item>
<def-item>
<term id="G25-fcell.2022.885133">
<bold>E2F1</bold>
</term>
<def>
<p>E2F transcription factor 1</p>
</def>
</def-item>
<def-item>
<term id="G26-fcell.2022.885133">
<bold>FTO</bold>
</term>
<def>
<p>Fat mass and obesity-related protein</p>
</def>
</def-item>
<def-item>
<term id="G27-fcell.2022.885133">
<bold>HBXIP</bold>
</term>
<def>
<p>hepatitis B X-interacting protein</p>
</def>
</def-item>
<def-item>
<term id="G28-fcell.2022.885133">
<bold>hnRNP</bold>
</term>
<def>
<p>heterogeneous nuclear ribonucleoprotein</p>
</def>
</def-item>
<def-item>
<term id="G29-fcell.2022.885133">
<bold>IL</bold>
</term>
<def>
<p>interlukin</p>
</def>
</def-item>
<def-item>
<term id="G30-fcell.2022.885133">
<bold>IGF2BP1</bold>
</term>
<def>
<p>insulin-like growth factor 2 mRNA-binding protein 1</p>
</def>
</def-item>
<def-item>
<term id="G31-fcell.2022.885133">
<bold>KRT7</bold>
</term>
<def>
<p>keratin 7</p>
</def>
</def-item>
<def-item>
<term id="G32-fcell.2022.885133">
<bold>NSUN2</bold>
</term>
<def>
<p>NOP2/sun RNA methyltransferase 2</p>
</def>
</def-item>
<def-item>
<term id="G33-fcell.2022.885133">
<bold>GJA1</bold>
</term>
<def>
<p>gap junction protein alpha 1</p>
</def>
</def-item>
<def-item>
<term id="G34-fcell.2022.885133">
<bold>GRM3</bold>
</term>
<def>
<p>glutamate metabotropic receptor 3</p>
</def>
</def-item>
<def-item>
<term id="G35-fcell.2022.885133">
<bold>MALAT1</bold>
</term>
<def>
<p>metastasis associated lung adenocarcinoma transcript 1</p>
</def>
</def-item>
<def-item>
<term id="G36-fcell.2022.885133">
<bold>MTC</bold>
</term>
<def>
<p>methyltransferase complex</p>
</def>
</def-item>
<def-item>
<term id="G37-fcell.2022.885133">
<bold>METTL3</bold>
</term>
<def>
<p>methyltransferase-like 3</p>
</def>
</def-item>
<def-item>
<term id="G38-fcell.2022.885133">
<bold>METT14</bold>
</term>
<def>
<p>methyltransferase-like 14</p>
</def>
</def-item>
<def-item>
<term id="G39-fcell.2022.885133">
<bold>MAPK</bold>
</term>
<def>
<p>mitogen-activated protein kinase</p>
</def>
</def-item>
<def-item>
<term id="G40-fcell.2022.885133">
<bold>OG</bold>
</term>
<def>
<p>oxoglutarate oxygenase</p>
</def>
</def-item>
<def-item>
<term id="G41-fcell.2022.885133">
<bold>rRNA</bold>
</term>
<def>
<p>ribosomal RNA</p>
</def>
</def-item>
<def-item>
<term id="G42-fcell.2022.885133">
<bold>tRNA</bold>
</term>
<def>
<p>transport RNA</p>
</def>
</def-item>
<def-item>
<term id="G43-fcell.2022.885133">
<bold>mRNA</bold>
</term>
<def>
<p>messenger RNA</p>
</def>
</def-item>
<def-item>
<term id="G44-fcell.2022.885133">
<bold>ncRNA</bold>
</term>
<def>
<p>non coding RNA</p>
</def>
</def-item>
<def-item>
<term id="G45-fcell.2022.885133">
<bold>m</bold>
<sup>
<bold>6</bold>
</sup>
<bold>A</bold>
</term>
<def>
<p>N6-methyladenosine</p>
</def>
</def-item>
<def-item>
<term id="G46-fcell.2022.885133">
<bold>3&#x2019;UTR</bold>
</term>
<def>
<p>3&#x2019;untranslated region</p>
</def>
</def-item>
<def-item>
<term id="G47-fcell.2022.885133">
<bold>mcm5s2U</bold>
</term>
<def>
<p>5-methoxycarbonylmethyl-2-thiouridine</p>
</def>
</def-item>
<def-item>
<term id="G48-fcell.2022.885133">
<bold>RBM15</bold>
</term>
<def>
<p>RNA binding motif protein 15</p>
</def>
</def-item>
<def-item>
<term id="G49-fcell.2022.885133">
<bold>STC1</bold>
</term>
<def>
<p>stanniocalcin 1</p>
</def>
</def-item>
<def-item>
<term id="G50-fcell.2022.885133">
<bold>TNBC</bold>
</term>
<def>
<p>triple-negative breast cancer</p>
</def>
</def-item>
<def-item>
<term id="G51-fcell.2022.885133">
<bold>TNF</bold>
</term>
<def>
<p>tumor-necrosis-factor</p>
</def>
</def-item>
<def-item>
<term id="G52-fcell.2022.885133">
<bold>ROS</bold>
</term>
<def>
<p>reactive oxygen species</p>
</def>
</def-item>
<def-item>
<term id="G53-fcell.2022.885133">
<bold>SMC1A</bold>
</term>
<def>
<p>chromosomes 1a</p>
</def>
</def-item>
<def-item>
<term id="G54-fcell.2022.885133">
<bold>ST6GALNAC5</bold>
</term>
<def>
<p>ST6 beta-galactoside alpha-2,6-sialyltransferase</p>
</def>
</def-item>
<def-item>
<term id="G55-fcell.2022.885133">
<bold>RAD52</bold>
</term>
<def>
<p>DNA repair protein RAD52 homolog</p>
</def>
</def-item>
<def-item>
<term id="G56-fcell.2022.885133">
<bold>SAH</bold>
</term>
<def>
<p>S-adenosylhomocysteine</p>
</def>
</def-item>
<def-item>
<term id="G57-fcell.2022.885133">
<bold>SPHK</bold>
</term>
<def>
<p>sphingosine kinase</p>
</def>
</def-item>
<def-item>
<term id="G58-fcell.2022.885133">
<bold>TRM</bold>
</term>
<def>
<p>tRNA methyltransferase 10 homologue A</p>
</def>
</def-item>
<def-item>
<term id="G59-fcell.2022.885133">
<bold>WATP</bold>
</term>
<def>
<p>wilms tumor 1 associated protein</p>
</def>
</def-item>
<def-item>
<term id="G60-fcell.2022.885133">
<bold>ZC3H13</bold>
</term>
<def>
<p>zinc finger CCCHType Containing 13</p>
</def>
</def-item>
<def-item>
<term id="G61-fcell.2022.885133">
<bold>METTL16</bold>
</term>
<def>
<p>methyltransferase like 16</p>
</def>
</def-item>
<def-item>
<term id="G62-fcell.2022.885133">
<bold>YTHDF</bold>
</term>
<def>
<p>YTH domain family</p>
</def>
</def-item>
<def-item>
<term id="G63-fcell.2022.885133">
<bold>YTHDC</bold>
</term>
<def>
<p>YTH domain-containing protein</p>
</def>
</def-item>
<def-item>
<term id="G64-fcell.2022.885133">
<bold>TRDMT1</bold>
</term>
<def>
<p>tRNA aspartic acid methyltransferase 1</p>
</def>
</def-item>
<def-item>
<term id="G65-fcell.2022.885133">
<bold>TRM4B</bold>
</term>
<def>
<p>tRNA-specific methyltransferase 4B</p>
</def>
</def-item>
<def-item>
<term id="G66-fcell.2022.885133">
<bold>YBX1</bold>
</term>
<def>
<p>Y-box binding protein 1</p>
</def>
</def-item>
<def-item>
<term id="G67-fcell.2022.885133">
<bold>WBSCR22</bold>
</term>
<def>
<p>Williams Beuren syndrome chromosome 22 region protein</p>
</def>
</def-item>
<def-item>
<term id="G68-fcell.2022.885133">
<bold>YBX1</bold>
</term>
<def>
<p>Y-box binding protein 1</p>
</def>
</def-item>
</def-list>
</sec>
</back>
</article>