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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1204463</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2023.1204463</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>SETD2-H3K36ME3: an important bridge between the environment and tumors</article-title>
<alt-title alt-title-type="left-running-head">He et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fgene.2023.1204463">10.3389/fgene.2023.1204463</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Jiahui</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1841695/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Tangpeng</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/320511/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Fangrui</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1612173/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Jin</given-names>
</name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hu</surname>
<given-names>Qinyong</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1066782/overview"/>
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</contrib-group>
<aff>Department of Oncology, <institution>Renmin Hospital of Wuhan University</institution>, <addr-line>Wuhan</addr-line>, <addr-line>Hubei</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/883321/overview">Xin Liu</ext-link>, Huazhong Agricultural University, 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/1216116/overview">Zhang Guangwei</ext-link>, Xi&#x2019;an Medical University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2312996/overview">Haoya Chang</ext-link>, Peking University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2327855/overview">Hongyu Qin</ext-link>, First Affiliated Hospital of Xi&#x2019;an Jiaotong University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Qinyong Hu, <email>rm001223@whu.edu.cn</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1204463</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 He, Xu, Zhao, Guo and Hu.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>He, Xu, Zhao, Guo and Hu</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>Epigenetic regulation plays an important role in the occurrence, development and treatment of tumors. The histone methyltransferase SET-domain-containing 2 (SETD2) plays a key role in mammalian epigenetic regulation by catalyzing histone methylation and interacting with RNA polymerase II to mediate transcription elongation and mismatch repair. As an important bridge between the environment and tumors, SETD2-H3K36me3 plays an important role in the occurrence and development of tumors. Many tumors, including renal cancer, gastric cancer, lung cancer, are closely related to <italic>SETD2</italic> gene mutations. As a key component of common tumor suppressor mechanisms, SETD2-H3K36me3is an important target for clinical disease diagnosis and treatment. Here, we reviewed the structure and function of the <italic>SETD2</italic> and how SETD2-H3K36me3 functions as a bridge between the environment and tumors to provide an in-depth understanding of its role in the occurrence and development of various tumors, which is of great significance for future disease diagnosis and treatment.</p>
</abstract>
<kwd-group>
<kwd>SETD2 H3K36me3</kwd>
<kwd>tumor</kwd>
<kwd>environment</kwd>
<kwd>epigenetics</kwd>
<kwd>epigenetic drug</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Epigenomics and Epigenetics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Histone methylation is an important epigenetic modification that plays an important role in the occurrence, development and treatment of malignant tumors, which are a leading cause of death worldwide (<xref ref-type="bibr" rid="B63">Sung et al., 2021</xref>). The histone methyltransferase (HMT), SET-domain-containing 2 (SETD2) is an important member of the nuclear receptor SET domain (NSD) family and the only methyltransferase that catalyzes the formation of the H3K36me3 modification (<xref ref-type="bibr" rid="B13">Chen et al., 2020</xref>). SETD2-H3K36me3 is key component of common tumor suppressor mechanisms and an important target for cancer diagnosis and treatment (<xref ref-type="bibr" rid="B32">Leung et al., 2022</xref>). The main functions of SETD2/H3K36me3 are involved in DNA damage repair, maintaining active chromatin status, assisting transcription elongation, and thus promoting gene transcription levels. Tumor development is the result of the interaction of multiple risk factors, including those of environmental, exogenous and endogenous origins, as well as individual factors, including genetic susceptibility. Changes in the environment often cause epigenetic modifications that are reflected accordingly in the state of the cell. Tumors also exhibit a close relationship with the epigenetic changes caused by environmental factors.</p>
<p>
<italic>SETD2</italic> gene mutations or functional loss can cause protein dysfunction, leading to tumorigenesis, disease progression, chemotherapy resistance and poor prognosis. <italic>SETD2</italic> gene mutations have been identified in many cancers including kidney cancer (<xref ref-type="bibr" rid="B10">Cancer, 2013</xref>), pancreatic cancer (<xref ref-type="bibr" rid="B46">Niu et al., 2020a</xref>), prostate cancer (<xref ref-type="bibr" rid="B75">Yuan et al., 2020</xref>), leukemia (<xref ref-type="bibr" rid="B17">Dong et al., 2019</xref>), lung adenocarcinoma (<xref ref-type="bibr" rid="B81">Zhou Y et al., 2020</xref>), brain glioma (<xref ref-type="bibr" rid="B19">Fontebasso et al., 2013</xref>), breast cancer (<xref ref-type="bibr" rid="B44">Morcillo-Garcia et al., 2019</xref>), and gastrointestinal cancer (<xref ref-type="bibr" rid="B14">Chen et al., 2018</xref>). The cBioPortal database (<ext-link ext-link-type="uri" xlink:href="https://www.cbioportal.org/">https://www.cbioportal.org/</ext-link>) has also shown that SETD2 mutations occur in a variety of malignancies (<xref ref-type="fig" rid="F1">Figure 1</xref>). SETD2-H3K36me3 is a common oncogenic mechanism in tumors, and its regulatory mechanism is tumor tissue specific. In this review, we first consider the structure and function of the <italic>SETD2</italic> and the relationship between tumors and epigenetic modifications, including DNA methylation, histone modification, chromatin remodeling and non-coding RNAs (ncRNAs). Next, we review the relationship between SETD2/H3K36me3 and most tumors, and describe in detail the antitumor function of SETD2 in a variety of tumors. Finally, we summarize the progress of several epigenetic drugs targeting SETD2/H3K36me3, including leukemia and lung cancer. A comprehensive understanding of the role of SETD2-H3K36me3 in the occurrence and development of various tumors is of great significance for future disease diagnosis and treatment.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Frequency of <italic>SETD2</italic> mutations in different cancers from the cBioPortal database.</p>
</caption>
<graphic xlink:href="fgene-14-1204463-g001.tif"/>
</fig>
</sec>
<sec id="s2">
<title>2 SETD2/H3K36ME3</title>
<p>SETD2 is a methyltransferase that mediates the specific addition of a methyl group to dimethylated lysine-36 of histone H3 (H3K36me2), or three methyl groups to unmethylated lysine-36 of histone H3 (H3K36me3), which interacts with RNA polymerase II to mediate transcription elongation and mismatch repair (<xref ref-type="bibr" rid="B59">Seervai et al., 2020</xref>). The SETD2 protein consists of three domains that contribute to its enzymatic function: a AWS-SET-PostSET domain, a WW domain and a Set2 Rpb1-interacting (SRI) domain (<xref ref-type="fig" rid="F2">Figure 2</xref>). The SET domain is located between amino acids 1,550 and 1,667 and is responsible for the activity of histone methyltransferases. The WW domain (amino acids 2,391&#x2013;2,420) interacts with proline-containing gene sequences and mediates the interaction of Set2 with proteins responsible for the methylation of non-histone substrates (<xref ref-type="bibr" rid="B72">Xie et al., 2008</xref>). The SRI domain interacts specifically with the hyperphosphorylated C-terminal domain (CTD) of the largest subunit of RNA Pol II, Rpb1, to regulate Ser2 phosphorylation (<xref ref-type="bibr" rid="B34">Li J et al., 2016</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>The main domains of SETD2. (1) AWS: Associate with SET domain; (2) SET; Su (var)three to nine, enhancer of zest and trithorax domain; (3) The POST-SET domain and AWS domain are located on both sides of the SET domain to form the AWS- Set-POST SET triple domain; (4) The WW domain is located at the C-terminal; (5) SRI (Set2Rpb1 Interacting) domain is at the end of SETD2 C-terminal.</p>
</caption>
<graphic xlink:href="fgene-14-1204463-g002.tif"/>
</fig>
<p>By mediating the formation of H3K36me3, SETD2 plays important roles in molecular biological processes such as maintaining genome stability, chromatin conformation, gene transcription initiation and elongation (<xref ref-type="bibr" rid="B51">Park et al., 2016</xref>). ASH1L is also involved in H3K36 methylation. Although both ASH1L and SETD2 are involved in H3K36 monomethylation and dimethylation, only SETD2 has the potential for trimethylation of H3K36 <italic>in vitro</italic> (<xref ref-type="bibr" rid="B57">Rogawski DS and Cierpicki, 2016</xref>). Cells with abnormal SETD2 function often exhibit genomic microsatellite instability and increased frequency of spontaneous mutations, leading to tumorigenesis (<xref ref-type="bibr" rid="B56">Roberti et al., 2016</xref>).</p>
</sec>
<sec id="s3">
<title>3 Relationship between tumors and environment</title>
<p>Tumor generation is the result of the interaction of various risk factors, including environmental, exogenous, and endogenous factors, as well as individual factors, including genetic susceptibility (<xref ref-type="bibr" rid="B33">Lewandowska et al., 2019</xref>). The environment includes all non-genetic factors such as diet, lifestyle and infectious factors. Broadly speaking, the environment is involved in the causation of most human cancers. The most important environmental factors include outdoor and indoor air pollution as well as soil and drinking water pollution (<xref ref-type="bibr" rid="B7">Boffetta P, 2003</xref>). Harmful stimuli from the environment lead to cellular dysfunction, and the accumulation of genetic and epigenetic changes in cells, manifested as the accumulation of chromosomal or molecular aberrations, leading to genetic instability and tumorigenesis.</p>
<p>Tobacco is a very typical example of the relationship between the environment and tumors. Epidemiological studies have clearly confirmed that tobacco can cause various types of cancer. Smoking increases the risk of lung cancer of all histologic types, including squamous cell carcinoma, small cell carcinoma, adenocarcinoma (including bronchiolar/alveolar carcinoma), and large cell carcinoma. In addition to lung cancer, smoking increases the risk of cancers of the oral cavity, larynx, oropharynx, hypopharynx, nasopharynx, esophagus (including squamous cell and adenocarcinoma), stomach, liver, pancreas, bladder, kidney cancer, cervical cancer, and myeloid leukemia (<xref ref-type="bibr" rid="B6">Bettcher and Sanda, 2008</xref>; <xref ref-type="bibr" rid="B28">Husain et al., 2021</xref>). Similar to tobacco, a growing body of evidence identifies alcohol as an important environmental risk factor for carcinogenesis, and animal experiments support that ethanol is a co-carcinogen and/or tumor promoter under certain conditions. According to the latest research, even a small dose of alcohol has a strong carcinogenic effect, especially in people who smoke at the same time, due to the increased solubility of carcinogens in tobacco smoke in ethanol (<xref ref-type="bibr" rid="B53">Poschl and Seitz, 2004</xref>). Nutrients in the diet are also associated with cancer, and nutritional obesity may be associated with recurrence or mortality from the primary cancer.</p>
</sec>
<sec id="s4">
<title>4 The relationship between tumor and epigenetics</title>
<p>Epigenetic modifications include DNA methylation, histone modification, chromatin remodeling and non-coding RNAs (non-coding RNAs, ncRNAs), which play a wide range of roles in regulating gene expression (<xref ref-type="bibr" rid="B11">Castel and Martienssen, 2013</xref>). Thus, epigenetics has become an increasingly attractive area of research in recent years.</p>
<sec id="s4-1">
<title>4.1 DNA methylation</title>
<p>DNA methylation refers to the biological process of transferring the methyl group of S-adenosylmethionine (SAM) to cytosine or adenine and is mediated by DNA methyltransferases (DNMTs) (<xref ref-type="bibr" rid="B2">Aran et al., 2013</xref>). The cytosine component in DNA cytosine phospho-guanine (CpG) dinucleotide (one 5&#x2032;-cytosine and one 3&#x2032;-guanine) is a key site of methylation. The CpG dinucleotide is overexpressed in the gene promoter, and its methylation can silence related genes (<xref ref-type="bibr" rid="B50">Papanicolau-Sengos and Aldape, 2022</xref>). Compared with non-tumor tissues, cancers have a complex methylation profile, including overall hypomethylation of the genome, but hypermethylation of CpG islands in gene promoter regions (<xref ref-type="bibr" rid="B20">Gama-Sosa et al., 1983</xref>). The <italic>c-Myc</italic> gene is generally considered to be a transcription factor of oncogenes (<xref ref-type="bibr" rid="B54">Prendergast and Ziff, 1991</xref>). In cancer cells, hypomethylation is often associated with <italic>c-Myc</italic>. In 1984, hypomethylation of <italic>c-Myc</italic> was first demonstrated in cancer cells cultured <italic>in vitro</italic> and was subsequently identified in a variety of malignant tumors, such as hepatocellular carcinoma, leukemia, gastric cancer, and colorectal cancer (<xref ref-type="bibr" rid="B12">Cheah et al., 1984</xref>; <xref ref-type="bibr" rid="B23">Guinney et al., 2015</xref>).</p>
</sec>
<sec id="s4-2">
<title>4.2 Histone modification</title>
<p>Histones are the main protein components in eukaryotic chromatin and are divided into five types: H1, H2A, H2B, H3, and H4 (<xref ref-type="bibr" rid="B3">Audia and Campbell, 2016</xref>). In eukaryotic cells, two copies of these histones form octamers and 147&#xa0;bp of DNA is wound around them to form nucleosomes. Histones are prone to post-transcriptional modifications, including acetylation, methylation, phosphorylation, and ubiquitination. Covalent modification of histones plays an important role in chromatin dynamics and transcriptional regulation (<xref ref-type="bibr" rid="B64">Tsukada et al., 2006</xref>).</p>
</sec>
<sec id="s4-3">
<title>4.3 Chromatin remodeling</title>
<p>Mammalian chromatin remodeling complexes can be divided into four major families: SWI/SNF, ISWI, NuRD/Mi-2/CHD, and INO80 (<xref ref-type="bibr" rid="B68">Wang et al., 2007</xref>). As the first to be discovered, the SWI/SNF family comprised ATP-dependent chromatin remodeling complexes (CRCs), which regulate functions such as gene expression and DNA replication, and are related to the occurrence of various cancers. SWI/SNF chromatin remodeling factors are associated with increased chromatin accessibility, which can promote nucleosome repositioning in promoter and enhancer regions, transcription factor binding, recruitment of histone-modifying enzymes and regulation of chromatin loops, promoting the interactions between enhancers and promoters (<xref ref-type="bibr" rid="B71">Wu and Roberts, 2013</xref>; <xref ref-type="bibr" rid="B65">Vaicekauskaite et al., 2022</xref>). Monterde et al. described recurrent alterations of different <italic>SWI/SNF</italic> genes in nearly 20% of lung cancer patients, which were significantly associated with poorer prognosis, suggesting that <italic>SWI/SNF</italic> genes plays an important role in lung cancer (<xref ref-type="bibr" rid="B43">Monterde and Varela, 2022</xref>).</p>
</sec>
<sec id="s4-4">
<title>4.4 Non-coding RNAs</title>
<p>Non-coding RNAs (ncRNAs) are functional RNA molecules that are not translated into proteins. Based on their length, shape, and location, ncRNAs in cancer have been classified into four major types with distinct functions: microRNA (miRNA), long ncRNA (lncRNA), circular RNA (circRNA), and PIWI interacting RNA (piRNA). A large body of evidence indicates that ncRNAs can act as oncogenes or suppressors to regulate cancer initiation and progression. Many ncRNAs can be released from cancer cells into blood or urine and serve as diagnostic markers or prognostic indicators (<xref ref-type="bibr" rid="B73">Yan and Bu, 2021</xref>). Targeted ncRNA therapy has been evaluated in many clinical trials, and the combination with other therapeutic methods will help to achieve better therapeutic effects.</p>
</sec>
</sec>
<sec id="s5">
<title>5 The relationship between SETD2/H3K36ME3 and various tumors</title>
<sec id="s5-1">
<title>5.1 Renal cell carcinoma</title>
<p>Clear cell renal cell carcinoma (ccRCC) is the most common type of human RCC. The <italic>SETD2</italic> gene is a frequently mutated in renal cancer, especially ccRCC (<xref ref-type="bibr" rid="B36">Li L et al., 2019</xref>). In ccRCC, the <italic>PBRM1</italic> gene is often co-mutated with <italic>SETD2</italic> (<xref ref-type="bibr" rid="B66">Varela et al., 2011</xref>), and some studies have predicted that <italic>SETD2</italic> mutations are associated with poor prognosis in primary ccRCC (<xref ref-type="bibr" rid="B52">Piva et al., 2015</xref>). In RCC, SETD2 participates not only in epigenetic dysfunction, but also in metabolic regulation (<xref ref-type="bibr" rid="B13">Chen et al., 2020</xref>). H3K36me3 protein downregulation in the absence of SEDT2 resulted in incomplete gene methylation modification in RCC (<xref ref-type="bibr" rid="B25">Ho et al., 2016</xref>). Liu et al. (<xref ref-type="bibr" rid="B38">Liu et al., 2019</xref>) found that the loss of <italic>SETD2</italic> downregulated the metabolism of creatine, glycosaminoglycans and carbohydrates via a mechanism that may be related to the peroxisome proliferator-activated receptor &#x3b3; co-activator 1&#x3b1; (PGC-1&#x3b1;)-mediated metabolic network. This suggests that dysfunction in the SETD2-PGC-1&#x3b1; metabolic pathway in ccRCC may act as a stimulating factor, which provides a new target for drug development and individualized treatment. Wang et al. (<xref ref-type="bibr" rid="B69">Wang J. et al., 2016</xref>) showed that low <italic>SETD2</italic> expression was associated with poor prognosis in patients with metastatic RCC (mRCC) treated with tyrosine kinase inhibitors (TKIs), and the frequency of <italic>SETD2</italic> mutation was positively correlated with mRCC progression. This suggested to us that <italic>SETD2</italic> may serve as a potential prognostic biomarker in mRCC patients receiving targeted therapy. However, whether it is applicable to other RCC types requires prospective external validation studies.</p>
</sec>
<sec id="s5-2">
<title>5.2 Prostate cancer</title>
<p>Prostate cancer is a common malignant tumor in men. Zhang et al. (<xref ref-type="bibr" rid="B80">Zhang et al., 2019</xref>) performed Integrated Genome Analysis (IGA) on 51 HMT genes in prostate cancer samples collected from The Cancer Genome Atlas (TCGA) database. The results indicated that the <italic>SETD2</italic> gene may be involved in the androgen receptor response pathway of prostate cancer, and that the <italic>SETD2</italic> gene mutations have a potential role in the occurrence and development of castration-resistant prostate cancer (CRPC). In addition, analysis of mouse models and patient data showed that loss of <italic>SETD2</italic> significantly promotes distant metastasis of prostate cancer. <italic>SETD2</italic> promotes the degradation of EZH2 by methylating the EZH2 K735 site, preventing transformation of cells to a high H3K27me3 chromatin state, thereby inhibiting the molecular mechanism of prostate cancer metastasis. Interestingly, the study also showed that changes in extracellular energy are &#x201c;sensed&#x201d; by the AMPK-FOXO3 signaling pathway to regulate <italic>SETD2</italic> expression levels. Furthermore, metformin inhibited the progression of EZH2-high expression prostate cancer by activating the AMPK-FOXO3-SETD2 signaling axis (<xref ref-type="bibr" rid="B75">Yuan et al., 2020</xref>). Nevertheless, the potential roles of <italic>SETD2</italic> in the diagnosis, treatment and prognosis of prostate cancer remain to be explored.</p>
</sec>
<sec id="s5-3">
<title>5.3 Lung adenocarcinoma</title>
<p>Lung cancer is the leading cause of cancer-related deaths in humans, among which lung adenocarcinoma (LUAD) is the main histological subtype with a high mortality rate (<xref ref-type="bibr" rid="B61">Siegel et al., 2023</xref>). Hao et al. (<xref ref-type="bibr" rid="B24">Hao et al., 2015</xref>) collected surgical specimens from 88 lung cancer patients and established 23 patient-derived xenograft (PDX) models. <italic>SETD2</italic> mutations were identified in both the primary LUAD tissues and the PDX models, with a mutation rate of 21.7%. Walter et al. (<xref ref-type="bibr" rid="B67">Walter et al., 2017</xref>) found that loss of <italic>SETD2</italic> and downregulation of H3K36me3 promoted the rapid growth and progression of LUAD. Subsequent studies showed that <italic>SETD2</italic> mutations were significantly associated with poor prognosis (<xref ref-type="bibr" rid="B29">Kadara et al., 2017</xref>). These studies suggest that <italic>SETD2</italic> mutations are closely related to the occurrence, development and prognosis of LUAD. Li et al. (<xref ref-type="bibr" rid="B35">Li et al., 2022</xref>) retrospectively analyzed the clinical characteristics of 248 Chinese patients with LUAD and found that high tumor mutation burden was significantly associated with high expression of PD-L1. Compared with the PD-L1 low expression group, <italic>SETD2</italic> gene mutations were significantly enriched in the PD-L1 high expression group and correlated with the overall survival of patients. In addition, pathway analysis showed that <italic>SETD2</italic> mutations were involved in the DNA damage repair (DDR) pathway, TP53 pathway, cell cycle pathway and <italic>Drosophila</italic> double wing margin nickeled homologous gene (NOTCH) pathway. The proportions of IFN-&#x3b3;, CD8<sup>&#x2b;</sup> T cells, and NK cells in the <italic>SETD2</italic> mutant group were significantly higher than those in the wild-type group, suggesting that SETD2 may be a potential target for LUAD immunotherapy. The results of <italic>in vitro</italic> and <italic>in vivo</italic> experiments highlighted the ability of SETD2/H3K36me3 to inhibit cell proliferation, migration, invasion and epithelial-mesenchymal transition (EMT) in LUAD by regulating the STAT1-IL&#x2010;8 signaling pathway (<xref ref-type="bibr" rid="B74">Yang et al., 2022</xref>). Cisplatin is one of the most commonly used chemotherapeutic drugs in the treatment of non-small cell lung cancer (NSCLC), but the mechanism of cisplatin resistance is not fully understood. By high-throughput sequencing of cisplatin-resistant A549 cells selected <italic>in vivo</italic>, Kim et al. (<xref ref-type="bibr" rid="B31">Kim et al., 2019</xref>) identified a missense mutation in <italic>SETD2</italic> and showed that SETD2-mediated trimethylation of H3K36 and CREB1 phosphorylation are key targets for cisplatin sensitivity. This study confirms that downregulation of the expression of SETD2 or CREB1 in LUAD cells inhibit the activation of H3K36me3 and ERK, resulting in cisplatin resistance. These studies provide evidence that <italic>SETD2</italic> functions as a tumor suppressor in LUAD and may serve as a novel prognostic biomarker and potential therapeutic target, although in-depth studies are required to elucidate the mechanism.</p>
</sec>
<sec id="s5-4">
<title>5.4 Nasopharyngeal carcinoma</title>
<p>After knocking out the <italic>SETD2</italic> gene in nasopharyngeal carcinoma (NPC) cells, Zeng et al. detected numerous differentially expressed genes, suggesting that <italic>SETD2</italic> plays an important role in the biological function of NPC. Preliminary classification of the upregulated proteins showed that some were involved in the processes of cell proliferation, adhesion, migration and EMT. Loss of <italic>SETD2</italic> expression in NPC affects 20 classic signaling pathways closely related to tumors, suggesting the potential feasibility of SETD2-targeted therapy (<xref ref-type="bibr" rid="B77">Zeng et al., 2019</xref>).</p>
</sec>
<sec id="s5-5">
<title>5.5 Hepatocellular carcinoma</title>
<p>Using a <italic>SETD2</italic> gene-specific knockout mouse model, Li et al. (<xref ref-type="bibr" rid="B26">Huang et al., 2016</xref>) showed that the loss of <italic>SETD2</italic> can lead to spontaneous liver cancer, and can significantly promote diethylnitrosamine (DEN)-induced liver cancer. In DEN-induced liver cancer mouse model, the loss of <italic>SETD2</italic> can significantly increase the number and size of liver tumors. Mechanistic analysis showed that, in addition to regulating the DNA damage response, <italic>SETD2</italic> also inhibited the occurrence of liver cancer by regulating the balance of hepatic lipid metabolism. Loss of <italic>SETD2</italic> resulted in the downregulation of H3K36me3 in lipid efflux-related genes and repressed their expression, which in turn promoted lipid accumulation. Loss of <italic>SETD2</italic> also promoted hepatocarcinogenesis in a high-fat diet-induced model. Chromatin immunoprecipitation sequencing (ChIP-seq) analysis revealed that <italic>SETD2</italic> knockdown induced activation of the c-Jun/activating protein-1 (c-Jun/activating protein-1, c-Jun/AP-1) transcription factor in the liver by promoting lipid accumulation. As an oncogene, c-Jun can inhibit the expression of the p53 gene in <italic>SETD2</italic>-null mice to promote the occurrence of liver cancer. <italic>SETD2</italic> loss promotes the occurrence and development of hepatocellular carcinoma (HCC), and therefore, further studies on the role of <italic>SETD2</italic> and cholesterol homeostasis in tumorigenesis are warranted.</p>
</sec>
<sec id="s5-6">
<title>5.6 Pancreatic ductal adenocarcinoma</title>
<p>
<italic>SETD2</italic> functions as a tumor suppressor in different stages of pancreatic carcinogenesis, and SETD2/H3K36me3 simultaneously inhibits acinar-ductal reprogramming and EMT. Furthermore, loss of SETD2-H3K36me3 affects pancreatic size and acinar cell homeostasis, promoting Kras-induced pancreatic carcinogenesis and metastasis (<xref ref-type="bibr" rid="B45">Niu et al., 2020b</xref>). However, the role of <italic>SETD2</italic> mutations in TME remodeling and immune evasion is poorly understood. In another study, in the process of pancreatic carcinogenesis, intratumoral <italic>SETD2</italic> deficiency not only participated in the regulation of pancreatic tumor cell fate, but also regulated immune escape by remodeling neutrophils, which may provide potential therapeutic targets for pancreatic cancer patients with <italic>SETD2</italic> mutation or loss (<xref ref-type="bibr" rid="B47">Niu et al., 2023</xref>).</p>
</sec>
<sec id="s5-7">
<title>5.7 Gastric cancer</title>
<p>Studies have shown that the migration, proliferation and invasion abilities of the gastric cancer (GC) cell lines HGC-27 and AGS decreased as the level of <italic>SETD2</italic> expression increased. Low <italic>SETD2</italic> expression was significantly correlated with clinicopathological parameters such as tumor size, TNM stage, and lymph node metastasis. In addition, patients with low <italic>SETD2</italic> expression had a significantly lower 5-year survival rate compared with patients with high <italic>SETD2</italic> expression (<xref ref-type="bibr" rid="B14">Chen et al., 2018</xref>). Further studies showed that H3K36me3 levels were reduced in <italic>SETD2</italic> mutants in GI stromal tumors (GISTs), and <italic>SETD2</italic> silencing promoted DNA damage in GIST-T1 cells. Univariate analysis showed that <italic>SETD2</italic> mutation was associated with shorter recurrence-free survival (RFS) in patients with GISTs (<xref ref-type="bibr" rid="B26">Huang et al., 2016</xref>). These findings suggested that downregulation of the <italic>SETD2</italic> gene may be significantly related to the development and poor prognosis of GC.</p>
</sec>
<sec id="s5-8">
<title>5.8 Colorectal cancer</title>
<p>In colorectal cancer (CRC), <italic>SETD2</italic> has been shown to regulate the Wnt signaling pathway in engineered mouse models (GEMs), and <italic>SETD2</italic> loss promoted tumor progression (<xref ref-type="bibr" rid="B76">Yuan et al., 2017</xref>). Furthermore, <italic>SETD2</italic> gene inactivation promoted self-renewal and tissue regeneration of intestinal stem or progenitor cells in mouse intestinal epithelium (<xref ref-type="bibr" rid="B79">Zhang et al., 2014</xref>). However, the description of <italic>SETD2</italic> in CRC is limited to clinical case reports (<xref ref-type="bibr" rid="B15">Choi et al., 2014</xref>; <xref ref-type="bibr" rid="B39">Liu M. et al., 2021</xref>). A recent study of the largest cohort to date revealed that the clinical presentation of <italic>SETD2</italic>-mutant CRC was similar to CRC reported in the general population, although it may be more commonly present in the proximal colon. <italic>SETD2</italic>-mutant CRC may also be found in the presence of p53 mutations and abnormal expression of &#x3b2;-catenin, two proteins known to interact to regulate DNA repair. Furthermore, multiple mutations in the <italic>SETD2</italic> gene may be required for the regulation of H3K36 trimethylation, but further studies are needed to confirm the clinical relevance of this observation. The emergence of next-generation sequencing (NGS) will help to clarify the significance of <italic>SETD2</italic> mutations in CRC (<xref ref-type="bibr" rid="B9">Bushara et al., 2023</xref>).</p>
</sec>
<sec id="s5-9">
<title>5.9 Lymphopoietic system tumors</title>
<p>The maintenance of hematopoietic homeostasis depends on the balance between hematopoietic stem cell self-renewal and differentiation, a process regulated by both genetic and epigenetic mechanisms (<xref ref-type="bibr" rid="B55">Rice et al., 2007</xref>; <xref ref-type="bibr" rid="B16">Cullen et al., 2014</xref>). Accumulating evidence suggests that this homeostasis may be perturbed by mutations in some key regulatory genes, ultimately leading to hematopoietic malignancy (<xref ref-type="bibr" rid="B49">Papaemmanuil et al., 2016</xref>). <italic>SETD2</italic> mutations play an important role in the development and treatment of hematologic malignancies (<xref ref-type="bibr" rid="B27">Huether et al., 2014</xref>; <xref ref-type="bibr" rid="B41">Mar et al., 2014</xref>). Using the <italic>SETD2</italic> gene conditional knockout mouse model, it was found that <italic>SETD2</italic> plays an important role in maintaining the balance between self-renewal and differentiation of hematopoietic stem cells, and <italic>SETD2</italic>-deficient hematopoietic stem cells (HSPCs) can continue to evolve into systemic malignancies (<xref ref-type="bibr" rid="B78">Zhang et al., 2018</xref>). This study provided the first animal model that provides evidence of a causal role for <italic>SETD2</italic> loss in tumorigenesis. <italic>SETD2</italic>-deficient HSPC can acquire the ability to overcome growth disadvantage during the latency period, eventually acquiring to the malignant hematopoietic features of myelodysplastic syndrome (MDS) (<xref ref-type="bibr" rid="B78">Zhang et al., 2018</xref>). Studies have shown that <italic>SETD2</italic> plays a tumor suppressor role in chronic myeloid leukemia (CML), and <italic>SETD2</italic> loss significantly promotes imatinib resistance and leukemia stem cell enrichment in CML cells. In addition, the demethylase inhibitor JIB&#x2010;04 was shown to restore H3K36me3 levels by blocking H3K36me3 demethylation, thus enhancing the effects of chemotherapy (<xref ref-type="bibr" rid="B60">Sheng et al., 2019</xref>). After conditional knockout the <italic>SETD2</italic> gene in MLL-AF9 AML mouse model, homozygous <italic>SETD2</italic> loss was found to delay leukemogenesis, whereas heterozygous <italic>SETD2</italic> loss resulted in accelerated disease progression and chemotherapy resistance (<xref ref-type="bibr" rid="B42">Mar et al., 2017</xref>; <xref ref-type="bibr" rid="B62">Skucha et al., 2018</xref>). Taken together, these studies provide evidence that <italic>SETD2</italic> functions as a tumor suppressor in hematologic malignancies and that targeting the H3K36me3 demethylase may reverse chemotherapy resistance.</p>
</sec>
<sec id="s5-10">
<title>5.10 Central nervous system malignancy</title>
<p>High-grade gliomas (HGGs) are a type of poorly differentiated, highly aggressive and migratory brain tumors that occur frequently in both adults and children (<xref ref-type="bibr" rid="B22">Greenall et al., 2017</xref>). In whole exome sequencing (WES) analysis of 60 children with HGG, Fontebasso et al. (<xref ref-type="bibr" rid="B19">Fontebasso et al., 2013</xref>) found that 15% (11/73) of the children had <italic>SETD2</italic> gene mutations that were mainly truncating mutations. <italic>SETD2</italic> mutations were detected in 8% (5/65) of adult HGGs when analyzed in another independent validation cohort. In addition, the study revealed that <italic>SETD2</italic> mutations are common in older children and young adults, and are distributed mainly in the brain hemispheres. Further Western blot analysis showed that the expression level of H3K36me3 in tumor tissues with <italic>SETD2</italic> gene mutations was decreased. In subsequent studies, Huether et al. (<xref ref-type="bibr" rid="B12">Cheah et al., 1984</xref>) confirmed that <italic>SETD2</italic> gene mutations could be detected in childhood HGG tissues and glioblastoma cell lines. <italic>SETD2</italic> mutations are also present in low-grade gliomas, mainly in people aged over 55&#xa0;years (<xref ref-type="bibr" rid="B8">Brennan et al., 2013</xref>). These studies suggest that <italic>SETD2</italic> functions as a tumor suppressor in glioma.</p>
</sec>
<sec id="s5-11">
<title>5.11 Breast cancer</title>
<p>Although there are many treatment methods for breast cancer (BC), including surgery, radiotherapy, chemotherapy, and immunotherapy, the morbidity and mortality remain high (<xref ref-type="bibr" rid="B30">Kashyap et al., 2022</xref>). Sarakbi et al. (<xref ref-type="bibr" rid="B1">Al Sarakbi et al., 2009</xref>) analyzed the expression of <italic>SETD2</italic> mRNA in a long-term follow-up cohort of breast cancer patients and found that <italic>SETD2</italic> expression levels were significantly reduced in samples from patients who developed metastasis, local recurrence, or died of BC. In addition, <italic>SETD2</italic> expression levels were negatively correlated with tumor stage, grade, and lymph node metastasis. According to TCGA and METABRIC databases, <italic>SETD2</italic> is mutated in 2.62% of all BC subtypes and 1.2% of triple-negative breast cancer cases. However, whether <italic>SETD2</italic> is mutated in other BC subtypes is unknown. Further studies suggested that the expression level of SETD2 was significantly positively correlated with the prognosis of patients. However, <italic>SETD2</italic> mutations have little effect on the outcome of chemotherapy in patients (<xref ref-type="bibr" rid="B44">Morcillo-Garcia et al., 2019</xref>). Thus, <italic>SETD2</italic> may function as a tumor suppressor, and may be a potential prognostic marker in BC.</p>
</sec>
<sec id="s5-12">
<title>5.12 Other systemic tumors</title>
<p>Osteosarcoma (OS) is the most common primary bone malignancy in children and adolescents, and occurs most frequently in the distal femur, tibia, and proximal humerus (<xref ref-type="bibr" rid="B21">Gill and Gorlick, 2021</xref>). In 2017, Behjati et al. detected <italic>SETD2</italic> mutations in less than 2% of human osteosarcoma samples. Subsequent WES on osteosarcoma-susceptible dogs indicated that osteosarcoma may originate from <italic>SETD2</italic> mutations, which function as oncogenic drivers (<xref ref-type="bibr" rid="B5">Behjati et al., 2017</xref>; <xref ref-type="bibr" rid="B58">Sakthikumar et al., 2018</xref>). <italic>SETD2</italic> mutations have also been detected in osteosarcoma, myxoid liposarcoma (MLPS), and synovial sarcoma (SYN) (<xref ref-type="bibr" rid="B58">Sakthikumar et al., 2018</xref>), although the effect of <italic>SETD2</italic> on the biological function of osteosarcoma has not yet been reported. Comprehensive genome analysis of 24 choriocarcinoma patients showed that chromatin regulatory genes, particularly <italic>SETD2</italic>, were frequently altered in chordoma (<xref ref-type="bibr" rid="B70">Wang L. et al., 2016</xref>). <italic>SETD2</italic> mutations were also reported in 22% (11/50) of patients with malignant peritoneal mesothelioma (MPM) (<xref ref-type="bibr" rid="B48">Offin et al., 2022</xref>). These studies suggest that <italic>SETD2</italic> may provide a new therapeutic target for various types of malignancies.</p>
</sec>
</sec>
<sec id="s6">
<title>6 Advances in epigenetic drug targeting SETD2/H3K36ME3</title>
<p>Epigenetic regulation plays a key role in tumorigenesis and development. Among these factors, HMTs are attractive targets for disease intervention because they are frequently dysregulated in a range of human tumors and their enzymatic activity can be manipulated therapeutically (<xref ref-type="bibr" rid="B4">Baylin and Jones, 2011</xref>). Loss of <italic>SETD2</italic> has been reported to enhance the Wnt/&#x3b2;-catenin signaling pathway, thereby affecting intestinal self-renewal and differentiation. Therefore, tumors lacking this methyltransferase exhibit more aggressiveness and poorer prognosis, with potential therapeutic implications (<xref ref-type="bibr" rid="B76">Yuan et al., 2017</xref>). It is hoped that integration of data from genomics, transcriptomics and epigenomics studies will facilitate the discovery of relevant epigenetic therapeutic targets in the near future.</p>
<p>As novel oncogenic targets, MYCN and ERG were shown to be direct downstream targets of SETD2. In CML cell lines, <italic>SETD2</italic> knockout-induced overexpression resulted in imatinib insensitivity and enrichment of leukemia stem cells. JIB-04, an inhibitor that restores H3K36me3 levels by blocking H3K36me3 demethylation, successfully increased the sensitivity of lymphohematopoietic tumor cells to imatinib, providing a potential therapeutic strategy (<xref ref-type="bibr" rid="B60">Sheng et al., 2019</xref>). Targeting the epigenome is a fairly new approach in lung cancer therapy to address chemotherapy resistance and reverse immune escape (<xref ref-type="bibr" rid="B18">Duruisseaux and Esteller, 2018</xref>). Adavosertib (AZD1775), a highly potent inhibitor of WEE1 kinase, is a key regulator of G2/M and S phase checkpoints, which may prevent tumor cell growth by blocking some enzymes required for cell growth (<xref ref-type="bibr" rid="B37">Liu J. F. et al., 2021</xref>).</p>
</sec>
<sec id="s7">
<title>7 Summary</title>
<p>In this review, we first summarize the structure and function of the <italic>SETD2</italic> and the role of SETD2-H3K36me3 in mediating the important relationship between the environment and tumors. Changes in <italic>SETD2</italic> lead to abnormal regulation of H3K36me3, thereby promoting tumorigenesis and development. <italic>SETD2</italic> gene mutation or functional loss leads to dysfunction of downstream signaling pathways, including the Wnt signaling and PGC1-&#x3b1; metabolic pathways, and this dysfunction is related to tumorigenesis. In addition, signaling pathways such as the Wnt/&#x3b2;-catenin and ERK signaling pathways are related to drug resistance. <italic>SETD2</italic> is frequently mutated in a wide range of tumor types, suggesting that <italic>SETD2</italic> functions as a tumor suppressor. Furthermore, as a novel molecular therapeutic target, <italic>SETD2</italic> has provided new opportunities in the diagnosis and treatment of acute leukemia. At the same time, the rapid development of high-throughput technology will provide new ideas for the discovery and screening of epigenetic drugs targeting <italic>SETD2</italic>.</p>
<p>In summary, SETD2, as a new tumor suppressor factor, exhibits gene mutation or low protein expression in many human malignant tumors, although the exact mechanism is unclear. There are few reports of the changes in the expression of tumor-related genes caused by <italic>SETD2</italic> gene mutations, and corresponding experimental research, especially <italic>in vitro</italic> studies, is rare. Recent studies have indicated that SETD2 mutations may serve as potential biomarkers for predicting immunotherapy efficacy (<xref ref-type="bibr" rid="B40">Lu et al., 2021</xref>). In-depth investigations of the role of <italic>SETD2</italic> in the process of tumor formation and development and the underlying mechanism are of great significance for the diagnosis, treatment and prevention of tumors.</p>
</sec>
</body>
<back>
<sec id="s8">
<title>Author contributions</title>
<p>JH and TX wrote the manuscript. FZ and JG modified the structure and language of this manuscript. QH: conception and review of manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This study was supported by the following grants: the National Key Research and Development Plan of China (2020YFC2006000) and National Natural Science Foundation of China (81670144).</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>
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<sec id="s12">
<title>Glossary</title>
<table-wrap id="udT1" position="float">
<table>
<tbody valign="top">
<tr>
<td align="left">
<bold>SETD2</bold>
</td>
<td align="left">SET domain-containing 2</td>
</tr>
<tr>
<td align="left">
<bold>SAM</bold>
</td>
<td align="left">S-adenosylmethionine</td>
</tr>
<tr>
<td align="left">
<bold>DNMTs</bold>
</td>
<td align="left">DNA metlhyltransferases</td>
</tr>
<tr>
<td align="left">
<bold>CpG</bold>
</td>
<td align="left">Cytosine phospho-guanine</td>
</tr>
<tr>
<td align="left">
<bold>CRCs</bold>
</td>
<td align="left">Chromatin remodeling complexes</td>
</tr>
<tr>
<td align="left">
<bold>ncRNAs</bold>
</td>
<td align="left">Non-coding RNAs</td>
</tr>
<tr>
<td align="left">
<bold>lncRNA</bold>
</td>
<td align="left">Long ncRNA</td>
</tr>
<tr>
<td align="left">
<bold>circRNA</bold>
</td>
<td align="left">Circular RNA</td>
</tr>
<tr>
<td align="left">
<bold>piRNA</bold>
</td>
<td align="left">PIWI interacting RNA</td>
</tr>
<tr>
<td align="left">
<bold>ccRCC</bold>
</td>
<td align="left">Clear cell renal cell carcinoma</td>
</tr>
<tr>
<td align="left">
<bold>PGC-1&#x3b1;</bold>
</td>
<td align="left">Peroxisome proliferator-activated receptor &#x3b3; co-activator 1&#x3b1;</td>
</tr>
<tr>
<td align="left">
<bold>mRCC</bold>
</td>
<td align="left">Metastatic renal cell carcinoma</td>
</tr>
<tr>
<td align="left">
<bold>TCGA</bold>
</td>
<td align="left">The cancer genome atlas</td>
</tr>
<tr>
<td align="left">
<bold>HMT</bold>
</td>
<td align="left">Histone methyltransferase</td>
</tr>
<tr>
<td align="left">
<bold>CRPC</bold>
</td>
<td align="left">Castration-resistant prostate cancer</td>
</tr>
<tr>
<td align="left">
<bold>LUAD</bold>
</td>
<td align="left">Lung adenocarcinoma</td>
</tr>
<tr>
<td align="left">
<bold>PDXs</bold>
</td>
<td align="left">Patient-derived xenografts</td>
</tr>
<tr>
<td align="left">
<bold>DDR</bold>
</td>
<td align="left">DNA damage repair pathway</td>
</tr>
<tr>
<td align="left">
<bold>NOTCH</bold>
</td>
<td align="left">
<italic>Drosophila</italic> double wing margin nicked homologous gene</td>
</tr>
<tr>
<td align="left">
<bold>EMT</bold>
</td>
<td align="left">Epithelial-mesenchymal transition</td>
</tr>
<tr>
<td align="left">
<bold>NSCLC</bold>
</td>
<td align="left">Non-small cell lung cancer</td>
</tr>
<tr>
<td align="left">
<bold>NPC</bold>
</td>
<td align="left">Nasopharyngeal carcinoma</td>
</tr>
<tr>
<td align="left">
<bold>DEN</bold>
</td>
<td align="left">Diethylnitrosamine</td>
</tr>
<tr>
<td align="left">
<bold>c-Jun/AP-1</bold>
</td>
<td align="left">C-Jun/activating protein-1</td>
</tr>
<tr>
<td align="left">
<bold>HCC</bold>
</td>
<td align="left">Hepatocellular carcinoma</td>
</tr>
<tr>
<td align="left">
<bold>PDAC</bold>
</td>
<td align="left">Pancreatic ductal adenocarcinoma</td>
</tr>
<tr>
<td align="left">
<bold>GC</bold>
</td>
<td align="left">Gastric cancer</td>
</tr>
<tr>
<td align="left">
<bold>GISTs</bold>
</td>
<td align="left">GI stromal tumors</td>
</tr>
<tr>
<td align="left">
<bold>RFS</bold>
</td>
<td align="left">Relapse-free survival</td>
</tr>
<tr>
<td align="left">
<bold>CRC</bold>
</td>
<td align="left">Colorectal cancer</td>
</tr>
<tr>
<td align="left">
<bold>GEMs</bold>
</td>
<td align="left">Engineered mouse models</td>
</tr>
<tr>
<td align="left">
<bold>NGS</bold>
</td>
<td align="left">Next-generation sequencing</td>
</tr>
<tr>
<td align="left">
<bold>HSPCs</bold>
</td>
<td align="left">Hematopoietic stem/progenitor cells</td>
</tr>
<tr>
<td align="left">
<bold>MDS</bold>
</td>
<td align="left">Myelodysplastic syndrome</td>
</tr>
<tr>
<td align="left">
<bold>CML</bold>
</td>
<td align="left">Chronic myeloid leukemia</td>
</tr>
<tr>
<td align="left">
<bold>HGGs</bold>
</td>
<td align="left">High-grade gliomas</td>
</tr>
<tr>
<td align="left">
<bold>BC</bold>
</td>
<td align="left">Breast cancer</td>
</tr>
<tr>
<td align="left">
<bold>OS</bold>
</td>
<td align="left">Osteosarcoma</td>
</tr>
<tr>
<td align="left">
<bold>WES</bold>
</td>
<td align="left">Whole exome sequencing</td>
</tr>
<tr>
<td align="left">
<bold>MLPS</bold>
</td>
<td align="left">Myxoid liposarcoma</td>
</tr>
<tr>
<td align="left">
<bold>SYN</bold>
</td>
<td align="left">Synovial sarcoma</td>
</tr>
<tr>
<td align="left">
<bold>MPeM</bold>
</td>
<td align="left">Malignant peritoneal mesothelioma</td>
</tr>
<tr>
<td align="left">
<bold>HMTs</bold>
</td>
<td align="left">Histone methyltransferases</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</back>
</article>