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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
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<issn pub-type="epub">2234-943X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1655312</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The NSUN5 gene rs1880948 A&gt;G polymorphism and neuroblastoma risk in Chinese children</article-title>
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<contrib-group>
<contrib contrib-type="author">
<name><surname>Ye</surname><given-names>Zijie</given-names></name>
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<name><surname>Zeng</surname><given-names>Huijuan</given-names></name>
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<name><surname>Zheng</surname><given-names>Manna</given-names></name>
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<name><surname>Hu</surname><given-names>Chao</given-names></name>
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<name><surname>Pan</surname><given-names>Jing</given-names></name>
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<name><surname>Yang</surname><given-names>Jiliang</given-names></name>
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<name><surname>Tan</surname><given-names>Tianbao</given-names></name>
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<name><surname>He</surname><given-names>Jing</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<name><surname>Zou</surname><given-names>Yan</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<name><surname>Yang</surname><given-names>Tianyou</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><institution>Department of Pediatric Surgery, Guangzhou Women and Children&#x2019;s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health</institution>, <city>Guangzhou</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Jing He, <email xlink:href="mailto:hejing@gwcmc.org">hejing@gwcmc.org</email>; Yan Zou, <email xlink:href="mailto:monknut@126.com">monknut@126.com</email>; Tianyou Yang, <email xlink:href="mailto:mdtianyouyang@hotmail.com">mdtianyouyang@hotmail.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-19">
<day>19</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1655312</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>23</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Ye, Zeng, Zheng, Hu, Pan, Yang, Tan, Zhou, He, Zou and Yang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Ye, Zeng, Zheng, Hu, Pan, Yang, Tan, Zhou, He, Zou and Yang</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-19">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Neuroblastoma (NB) is the most common extracranial solid tumor in children. The 5-methylcytosine (m5C) modification gene NSUN5 polymorphisms may serve as promising molecular markers for identifying populations susceptible to NB.</p>
</sec>
<sec>
<title>Method</title>
<p>TaqMan probes were used to genotype NSUN5 single nucleotide polymorphisms (SNPs) in 402 NB patients and 473 healthy controls. A logistic regression model was applied to calculate the odds ratio (OR) and 95% confidence interval (CI) to evaluate the association between genotype polymorphisms and NB susceptibility. The analysis was further stratified by age, gender, tumor origin site, and clinical stage.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>In summary, our study indicates that the selected NSUN5 rs1880948 A&gt;G polymorphisms may not be associated with neuroblastoma susceptibility. However, further studies with larger sample sizes and additional potentially functional polymorphisms are needed to validate these results.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cancer</kwd>
<kwd>neuroblastoma</kwd>
<kwd>NSUN5</kwd>
<kwd>SNP</kwd>
<kwd>5-methylcytosine modification</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Natural Science Foundation of Guangdong Province</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100003453</institution-id>
</institution-wrap>
</funding-source>
<award-id rid="sp1">2023A1515010534</award-id>
</award-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was supported by grants from the Natural Science Foundation of Guangdong Province (NO.2023A1515010534), the National Natural Science Foundation of China (No. 82203379), Guangzhou Science and Technology Planning Project (No. 2025A04J5528), Basic and applied Basic Research Foundation of Guangdong province (No. 2023A1515220254).</funding-statement>
</funding-group>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="7"/>
<word-count count="2787"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Genetics</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Neuroblastoma (NB) is an extracranial solid malignant tumor that originates from precursor cells of the sympathetic nervous system, and it predominantly affects children under 5 years of age (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Although accounting for only 7-8% of childhood malignancies, the incidence of NB in children of China is about 7.7 per million, accounting for about 15% of childhood malignancies deaths (<xref ref-type="bibr" rid="B3">3</xref>). Although low-risk patients have higher therapeutic effect, the 5-year survival rate of high-risk NB patients is less than 50% (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Although some patients with mild or no treatment show spontaneous regression, more than half of high-risk neuroblastoma patients die even with multimodal therapy such as surgery, chemotherapy, radiotherapy, and immunotherapy (<xref ref-type="bibr" rid="B6">6</xref>). Due to the limited means of treatment, the etiology and pathogenesis of NB are still unclear, which poses a serious challenge to the treatment of NB. Therefore, it is critical to uncover valuable genetic changes in neuroblastoma to screen high-risk individuals and explore potentially effective treatments.</p>
<p>Various genetic alterations have been identified in neuroblastoma, including amplification of MYCN, mutations in ALK, and segmental chromosomal changes (<xref ref-type="bibr" rid="B7">7</xref>). Amplification of the MYCN gene has been found in most malignant neuroblastomas, occurring in about 20% of the all cases. Segmental chromosomal loss of the distal short arm of chromosome 1 (1p) and the long arm of chromosome 11 (11q) is associated with poor survival in patients (<xref ref-type="bibr" rid="B8">8</xref>). Germline gain-of-function mutations in ALK is the main drivers of most familial neuroblastoma (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Additionally, other relevant gene mutations have been found in neuroblastoma, such as TERT, ATRX, TP53, and RAS (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). However, these cannot fully represent all genetic risk factors for neuroblastoma. More research is needed to discover other genetic mechanisms.</p>
<p>Single nucleotide polymorphisms (SNPs) are the most common type of genetic variation among individuals (<xref ref-type="bibr" rid="B15">15</xref>). In a vast number of genome-wide association studies (GWASs), it has been investigated that many SNPs are associated with the incidence of neuroblastoma or the success of therapy, such as genetic variants in LIN28B, AXIN2, LMO1, BARD1, CDK1NB, CASC15, SMARCA4, CHEK2, BRCA1, and TP53 (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>). These studies demonstrate that genetic variants play a significant role in the occurrence and progression of NB and lay the foundation for potential mechanisms and treatment strategies.</p>
<p>Currently, epigenetics is a focal point in scientific research, particularly in understanding its role in regulating cancerous characteristics through the modification of RNA. 5-methylcytosine (m5C) is a highly concentrated epigenetic modification, and as more researchers learn about RNA m5C modification, they are finding many targets in multiple RNA species and in a variety of organisms (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Modification of RNA m5C has been implicated in many human cancers, including leukemia, lung cancer, gastric cancer, liver cancer, and gynecological tumor (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>). Demethylases can remove methyl groups from cytosine, restoring its original state (<xref ref-type="bibr" rid="B25">25</xref>). The binding proteins recognize and bind to m5C, influencing gene expression and RNA function (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>Enzymes regulating m5C levels of RNAs can be functionally categorized as methyltransferases (writers), demethylases (erasers) and binding proteins (readers) (<xref ref-type="bibr" rid="B27">27</xref>). Methyltransferases add a methyl group to cytosine to form m5C, including the NOL1/NOP2/Sun RNA methyltransferases (NSUN) (<xref ref-type="bibr" rid="B28">28</xref>). The NSUN family functions as the primary enzymes mediating m5C RNA methylation, employing S-adenosylmethionine as a methyl donor to transfer methyl groups and thereby generate m5C (<xref ref-type="bibr" rid="B29">29</xref>). Multiple studies have been performed that NSUN5 is overexpressed in various types of cancers including gastric cancer, hepatocellular cancer, renal cancer, colorectal cancer (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>). Together, these findings suggest that the NSUN5 gene may serve as a potential therapeutic target and prognostic marker. Nevertheless, the relationship between NSUN5 polymorphisms and neuroblastoma susceptibility remains unclear, warranting further investigation to elucidate their role in neuroblastoma. Putative functional potentials SNPs located in the 5&#x2019;-flanking region, exon, 5&#x2019;- untranslated region (5&#x2019; UTR), which might affect transcription activity or binding capacity of the microRNA binding site (<xref ref-type="bibr" rid="B34">34</xref>). The NSUN5 rs1880948 A&gt;G polymorphism is located in the region near the 5&#x2019; UTR, potentially affecting the functional output of the gene. However, few studies have focused on neuroblastoma. Here, we performed a hospital-based case-control study using data from 402 neuroblastoma patients and 473 control subjects to evaluate the association between the NSUN5 gene (rs1880948 A&gt;G) polymorphism and neuroblastoma risk in Chinese children.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and method</title>
<sec id="s2_1">
<title>Study subjects</title>
<p>This work was conducted with the approval of the Institutional Review Board of Jiangsu Province, with 402 neuroblastoma patients registered in Children&#x2019;s Hospital of Nanjing Medical University and 473 age- and gender-matched healthy controls involved in previous studies from January 30, 2008 to November 2, 2021. The ethnicity of all participants was recorded in their medical records at the time of hospital admission, and all subjects were classified as Han Chinese. The study was approved by the Institutional Review Committee of Nanjing Medical University Children&#x2019;s Hospital (approval number: 202112141-1), and all procedures were conducted in accordance with ethical standards and regulatory requirements. All participants signed informed consent.</p>
</sec>
<sec id="s2_2">
<title>Polymorphism selection and genotyping</title>
<p>Only one SNP in the NSUN5 gene (rs1880948 A&gt;G) was chosen and genotyped in this study. Potentially functional NSUN5 SNPs were obtained from the NCBI dbSNP and SNPinfo Web databases. The polymorphism resides within the intronic region of the NSUN5 gene and is predicted to function as a potential transcription factor binding site. SNPs with low linkage disequilibrium (LD) relative to other SNPs were chosen based on an R&#xb2; cutoff of &lt;0.8. Genomic DNA was isolated from the samples, and SNPs were genotyped using TaqMan probe real-time PCR. The TaqMan probes, which are specifically designed and validated for the target SNPs, contain a fluorescent reporter and a quencher dye. We analyzed repeated genotyping by randomly selecting 10% of samples from both cases and controls. A 100% consistency was achieved.</p>
</sec>
<sec id="s2_3">
<title>Statistical analysis</title>
<p>The study performed &#x3c7;2 goodness-of-fit test to detect the deviations from Hardy-Weinberg equilibrium (HWE) from Hardy-Weinberg equilibrium in genotype frequencies of the polymorphism in the control group. Two-sided &#x3c7;2 test was used to determine differences in the frequency distribution of age, sex, and genotypes between the case and control groups. We conducted multivariate logistic regression models to estimate the association between the NSUN5 gene rs1880948 A&gt;G polymorphism and neuroblastoma susceptibility by computing odds ratios (OR) and 95% confidence intervals (CI). Adjusted ORs were calculated using multivariate analysis adjusting for age and gender. All statistical analyses were performed using SAS software (version 10.1; SAS Institute, Cary, NC). Statistical significance was considered at P &lt; 0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Population characteristic</title>
<p>Our research population consisted of 402 neuroblastoma patients and 473 cancer-free controls. The demographic characteristics of all patients are shown in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. There were no significant differences in age (P = 0.100) and sex (P = 0.987) between the two groups. As for the site of tumor origin, 93 cases (23.13%), 167 cases (41.54%), 120 cases (29.85%) and 18 cases (4.28%) of neuroblastoma occurred in the adrenal gland, retroperitoneal region, mediastinum, and other areas, respectively. However, the origin of 4 neuroblastoma tumors (1.00%) could not be determined due to insufficient samples. In addition, based on the INSS standard (<xref ref-type="bibr" rid="B35">35</xref>), 108 (26.87%), 63 (15.67%), 59 (14.68%), 104 (25.87%), and 2 (0.50%) cases are classified into stage I, II, III, V, and 4s, while 66 cases (16.42%) are classified as NA (not available) due to lack of information.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographic characteristics of neuroblastoma patients and cancer-free controls from Jiangsu province.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" colspan="2" align="center">Cases (N = 402)</th>
<th valign="middle" colspan="2" align="center">Controls (N = 473)</th>
<th valign="middle" rowspan="2" align="center"><italic>P</italic><xref ref-type="table-fn" rid="fnT1_1"><sup>a</sup></xref></th>
</tr>
<tr>
<th valign="middle" align="center">No.</th>
<th valign="middle" align="center">%</th>
<th valign="middle" align="center">No.</th>
<th valign="middle" align="center">%</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age range, month</td>
<td valign="middle" colspan="2" align="left">0.033-168.00</td>
<td valign="middle" colspan="2" align="left">0.367-168.00</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Mean &#xb1; SD</td>
<td valign="middle" colspan="2" align="left">40.99 &#xb1; 35.49</td>
<td valign="middle" colspan="2" align="left">40.88 &#xb1; 29.76</td>
<td valign="middle" align="left">0.962<xref ref-type="table-fn" rid="fnT1_2"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="middle" colspan="5" align="left">Age</td>
<td valign="middle" align="left">0.100</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;18 months</td>
<td valign="middle" align="left">139</td>
<td valign="middle" align="left">34.58</td>
<td valign="middle" align="left">139</td>
<td valign="middle" align="left">29.39</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;18 months</td>
<td valign="middle" align="left">263</td>
<td valign="middle" align="left">65.42</td>
<td valign="middle" align="left">334</td>
<td valign="middle" align="left">70.61</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" colspan="5" align="left">Gender</td>
<td valign="middle" align="left">0.987</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="left">191</td>
<td valign="middle" align="left">47.51</td>
<td valign="middle" align="left">225</td>
<td valign="middle" align="left">47.57</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="left">211</td>
<td valign="middle" align="left">52.49</td>
<td valign="middle" align="left">248</td>
<td valign="middle" align="left">52.43</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" colspan="5" align="left">Sites of origin</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Adrenal gland</td>
<td valign="middle" align="left">93</td>
<td valign="middle" align="left">23.13</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Retroperitoneal region</td>
<td valign="middle" align="left">167</td>
<td valign="middle" align="left">41.54</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Mediastinum</td>
<td valign="middle" align="left">120</td>
<td valign="middle" align="left">29.85</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Other region</td>
<td valign="middle" align="left">18</td>
<td valign="middle" align="left">4.48</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NA</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">1.00</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" colspan="5" align="left">INSS stages</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;I</td>
<td valign="middle" align="left">108</td>
<td valign="middle" align="left">26.87</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;II</td>
<td valign="middle" align="left">63</td>
<td valign="middle" align="left">15.67</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="middle" align="left">59</td>
<td valign="middle" align="left">14.68</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IV</td>
<td valign="middle" align="left">104</td>
<td valign="middle" align="left">25.87</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;4s</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">0.50</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NA</td>
<td valign="middle" align="left">66</td>
<td valign="middle" align="left">16.42</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SD, standard deviation; NA, not available.</p></fn>
<fn id="fnT1_1"><label>a</label>
<p>Two-sided &#x3c7;<sup>2</sup> test between neuroblastoma patients and cancer-free controls.</p></fn>
<fn id="fnT1_2"><label>b</label>
<p>t test between neuroblastoma patients and cancer-free controls.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>NSUN5 gene rs1880948 A&gt;G polymorphism with neuroblastoma risk</title>
<p><xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref> presents the frequency distribution of genotypes of NSUN5 gene SNP between the case and control groups, as well as the association with neuroblastoma risk. Power analysis indicates that the study has sufficient statistical power to detect a significant association, if one exists. The frequency distribution of genotype of our observations agrees with the Hardy-Weinberg equilibrium (HWE &gt; 0.05) in the control group, supporting the validity of the genetic data and ensuring the robustness of subsequent association analyses. The genotype frequency distribution of the NSUN5 gene rs1880948 A&gt;G polymorphism was as follows: 42.29% (AA), 45.27% (AG) and 12.44% (GG) in the patients, and 38.48% (AA), 46.51% (AG) and 15.01% (GG) in the controls. Statistical analysis found no correlation between the genotype of NSUN5 and neuroblastoma susceptibility, even when age and gender were adjusted for.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p><italic>NSUN5</italic> rs1880948 A&gt;G polymorphism and neuroblastoma risk in children from Jiangsu province.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Genotype</th>
<th valign="middle" align="left">Cases (N = 402)</th>
<th valign="middle" align="left">Controls (N = 473)</th>
<th valign="middle" align="left">P<xref ref-type="table-fn" rid="fnT2_1"><sup>a</sup></xref></th>
<th valign="middle" align="left">Crude OR (95% CI)</th>
<th valign="middle" align="left">P</th>
<th valign="middle" align="left">Adjusted OR (95% CI)<xref ref-type="table-fn" rid="fnT2_2"><sup>b</sup></xref></th>
<th valign="middle" align="left">P<xref ref-type="table-fn" rid="fnT2_2"><sup>b</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="8" align="left">rs1880948 (HWE = 0.735)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;AA</td>
<td valign="middle" align="left">170 (42.29)</td>
<td valign="middle" align="left">182 (38.48)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;AG</td>
<td valign="middle" align="left">182 (45.27)</td>
<td valign="middle" align="left">220 (46.51)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.89 (0.67-1.18)</td>
<td valign="middle" align="left">0.407</td>
<td valign="middle" align="left">0.89 (0.67-1.18)</td>
<td valign="middle" align="left">0.407</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;GG</td>
<td valign="middle" align="left">50 (12.44)</td>
<td valign="middle" align="left">71 (15.01)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.75 (0.50-1.15)</td>
<td valign="middle" align="left">0.185</td>
<td valign="middle" align="left">0.75 (0.50-1.15)</td>
<td valign="middle" align="left">0.185</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Additive</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.171</td>
<td valign="middle" align="left">0.87 (0.72-1.06)</td>
<td valign="middle" align="left">0.171</td>
<td valign="middle" align="left">0.87 (0.72-1.06)</td>
<td valign="middle" align="left">0.170</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Dominant</td>
<td valign="middle" align="left">232 (57.71)</td>
<td valign="middle" align="left">291 (61.52)</td>
<td valign="middle" align="left">0.252</td>
<td valign="middle" align="left">0.85 (0.65-1.12)</td>
<td valign="middle" align="left">0.252</td>
<td valign="middle" align="left">0.85 (0.65-1.12)</td>
<td valign="middle" align="left">0.252</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;AA/AG</td>
<td valign="middle" align="left">352 (87.56)</td>
<td valign="middle" align="left">402 (84.99)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;GG</td>
<td valign="middle" align="left">50 (12.44)</td>
<td valign="middle" align="left">71 (15.01)</td>
<td valign="middle" align="left">0.272</td>
<td valign="middle" align="left">0.80 (0.55-1.19)</td>
<td valign="middle" align="left">0.273</td>
<td valign="middle" align="left">0.80 (0.54-1.19)</td>
<td valign="middle" align="left">0.272</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OR, odds ratio; CI, confidence interval; HWE, Hardy-Weinberg equilibrium.</p></fn>
<fn id="fnT2_1"><label>a</label>
<p>&#x3c7;<sup>2</sup> test for genotype distributions between neuroblastoma cases and cancer-free controls.</p></fn>
<fn id="fnT2_2"><label>b</label>
<p>Adjusted for age and gender.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Stratification analysis</title>
<p>We further explored the association between the NSUN5 gene rs1880948 A&gt;G polymorphism and neuroblastoma susceptibility based on age, gender, origin sites, and clinical stages. As shown in <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>, when compared with the AA genotype, the AG/GG genotypes of the NSUN5 rs1880948 A&gt;G polymorphism have no correlation with the age, gender, site of tumor, or clinical stages.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Stratification analysis for the association between <italic>NSUN5</italic> rs1880948 A&gt;G polymorphism and neuroblastoma susceptibility.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" colspan="2" align="center">rs1880948 (cases/controls)</th>
<th valign="middle" rowspan="2" align="center">OR (95% CI)</th>
<th valign="middle" rowspan="2" align="center"><italic>P</italic></th>
<th valign="middle" rowspan="2" align="center">AOR (95% CI)<xref ref-type="table-fn" rid="fnT3_1"><sup>a</sup></xref></th>
<th valign="middle" rowspan="2" align="center"><italic>P</italic><xref ref-type="table-fn" rid="fnT3_1"><sup>a</sup></xref></th>
</tr>
<tr>
<th valign="middle" align="center">AA</th>
<th valign="middle" align="center">AG/GG</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">Age, month</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;18</td>
<td valign="middle" align="left">55/54</td>
<td valign="middle" align="left">84/85</td>
<td valign="middle" align="left">0.97 (0.60-1.57)</td>
<td valign="middle" align="left">0.902</td>
<td valign="middle" align="left">0.97 (0.60-1.57)</td>
<td valign="middle" align="left">0.897</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;18</td>
<td valign="middle" align="left">115/128</td>
<td valign="middle" align="left">148/206</td>
<td valign="middle" align="left">0.80 (0.58-1.11)</td>
<td valign="middle" align="left">0.183</td>
<td valign="middle" align="left">0.80 (0.58-1.11)</td>
<td valign="middle" align="left">0.183</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Gender</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Females</td>
<td valign="middle" align="left">85/88</td>
<td valign="middle" align="left">106/137</td>
<td valign="middle" align="left">0.80 (0.54-1.19)</td>
<td valign="middle" align="left">0.267</td>
<td valign="middle" align="left">0.80 (0.54-1.19)</td>
<td valign="middle" align="left">0.267</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Males</td>
<td valign="middle" align="left">85/94</td>
<td valign="middle" align="left">126/154</td>
<td valign="middle" align="left">0.91 (0.62-1.32)</td>
<td valign="middle" align="left">0.602</td>
<td valign="middle" align="left">0.91 (0.62-1.32)</td>
<td valign="middle" align="left">0.607</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Sites of origin</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Adrenal gland</td>
<td valign="middle" align="left">38/182</td>
<td valign="middle" align="left">55/291</td>
<td valign="middle" align="left">0.91 (0.58-1.42)</td>
<td valign="middle" align="left">0.667</td>
<td valign="middle" align="left">0.90 (0.58-1.42)</td>
<td valign="middle" align="left">0.664</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Retroperitoneal</td>
<td valign="middle" align="left">74/182</td>
<td valign="middle" align="left">93/291</td>
<td valign="middle" align="left">0.79 (0.55-1.12)</td>
<td valign="middle" align="left">0.186</td>
<td valign="middle" align="left">0.79 (0.55-1.12)</td>
<td valign="middle" align="left">0.185</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Mediastinum</td>
<td valign="middle" align="left">49/182</td>
<td valign="middle" align="left">71/291</td>
<td valign="middle" align="left">0.91 (0.60-1.36)</td>
<td valign="middle" align="left">0.637</td>
<td valign="middle" align="left">0.91 (0.60-1.36)</td>
<td valign="middle" align="left">0.635</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Others</td>
<td valign="middle" align="left">7/182</td>
<td valign="middle" align="left">11/291</td>
<td valign="middle" align="left">0.98 (0.37-2.58)</td>
<td valign="middle" align="left">0.972</td>
<td valign="middle" align="left">0.98 (0.37-2.57)</td>
<td valign="middle" align="left">0.964</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Clinical stages</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;I+II+4s</td>
<td valign="middle" align="left">69/182</td>
<td valign="middle" align="left">104/291</td>
<td valign="middle" align="left">0.94 (0.66-1.35)</td>
<td valign="middle" align="left">0.745</td>
<td valign="middle" align="left">0.97 (0.67-1.38)</td>
<td valign="middle" align="left">0.838</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III+IV</td>
<td valign="middle" align="left">72/182</td>
<td valign="middle" align="left">91/291</td>
<td valign="middle" align="left">0.79 (0.55-1.13)</td>
<td valign="middle" align="left">0.201</td>
<td valign="middle" align="left">0.79 (0.55-1.14)</td>
<td valign="middle" align="left">0.211</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OR, odds ratio; CI, confidence interval; AOR, adjusted odds ratio.</p></fn>
<fn id="fnT3_1"><label>a</label>
<p>Adjusted for age and gender, omitting the corresponding stratify factor.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Neuroblastoma is a common malignant tumor, and high-aggressiveness neuroblastoma often progresses rapidly, leading to poor prognosis and high recurrence rates. The pathogenesis of neuroblastoma remains unclear due to the involvement of multiple factors. An increasing number of studies suggests that cancer development is an interactive phenotype driven by a combination of genetic mutations and epigenetic mechanisms (<xref ref-type="bibr" rid="B36">36</xref>). In recent years, it has been reported that epigenetic changes, including DNA methylation, RNA methylation, histone modification, and non-coding RNAs, can promote the progression of cancer. RNA modifications play a crucial role in cancer, especially m5C and m6A modifications. Furthermore, accumulating evidence implicates the role of RNA m5C in tumorigenesis, including gastric cancer (<xref ref-type="bibr" rid="B37">37</xref>), prostate cancer (<xref ref-type="bibr" rid="B38">38</xref>), hepatocellular cancer (<xref ref-type="bibr" rid="B24">24</xref>), lung cancer (<xref ref-type="bibr" rid="B39">39</xref>), bladder cancer (<xref ref-type="bibr" rid="B40">40</xref>), and leukemia (<xref ref-type="bibr" rid="B41">41</xref>). In humans, m5C RNA modification is catalyzed by the NOL1/NOP2/sun (NSUN) family and DNA methyltransferase 2 (DNMT2) (<xref ref-type="bibr" rid="B27">27</xref>). Abnormal transcription of the NSUN5 gene can regulate cell ferroptosis, thereby promoting the occurrence and development of tumors (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). The NSUN5 gene is a commonly mutated gene in many human cancers. In glioblastoma, NSUN5 loss generates an unmethylated status at the C3782 position of 28S rRNA, resulting in an anti-tumor effect. NSUN5 is markedly upregulated in head and neck squamous cell carcinoma and acts as a promoter of colorectal cancer by inducing cell cycle arrest (<xref ref-type="bibr" rid="B28">28</xref>). NSUN5 facilitates HCC development by targeting the ZBED3/Wnt/&#x3b2;-catenin signaling pathway (<xref ref-type="bibr" rid="B44">44</xref>). NSUN5 found an increase in the number of copies in some cancers.</p>
<p>From the perspective of genetic alterations, NSUN5 may influence tumorigenesis through both somatic mutations and germline polymorphisms. In somatic contexts, rare mutations in NSUN5 have been reported in various cancers, including hepatocellular carcinoma and glioblastoma, which can alter RNA methylation patterns and downstream signaling pathways, promoting tumor progression or affecting tumor suppressor functions (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B45">45</xref>). These somatic changes are often of high functional impact, but their prevalence in neuroblastoma remains largely unexplored. At the germline level, the NSUN5 rs1880948 polymorphism may act through regulatory mechanisms rather than directly altering protein structure. This variant could affect transcription factor or microRNA binding and thereby influence NSUN5 expression, a mechanism also reported for other gene SNPs (<xref ref-type="bibr" rid="B46">46</xref>).However, the important role of NSUN5 gene polymorphisms in neuroblastoma is still unclear. Currently, there is limited research on the association between RNA modification gene polymorphisms and susceptibility to neuroblastoma. We, therefore, focused on whether m5C modification gene NSUN5 polymorphisms have an impact on genetic susceptibility to neuroblastoma. More studies are still needed to clarify the important role of m5C-associated gene polymorphisms of neuroblastoma and the underlying mechanisms. We designed a case-control study of children from Jiangsu Province to determine the association between NSUN5 gene polymorphisms and neuroblastoma susceptibility in the Chinese population. However, we did not detect a significant effect on neuroblastoma susceptibility for the NSUN5 rs1880948 A&gt;G polymorphism. Further stratified analysis showed that this SNP had no significant association with the age, sex, tumor primary site, or clinical stage.</p>
<p>This study explores the potential association between the RNA modification gene NSUN5 polymorphism and susceptibility to neuroblastoma, which has not been previously reported. However, there are some limitations to this study. On the one hand, our study population is limited to neuroblastoma patients and volunteers in Jiangsu province, China. It is important to conduct further research on different regions and ethnic groups to explore the NSUN5 polymorphism in various populations. On the other hand, the sample size of SNPs in this study is relatively small. Future research needs to either increase the sample size of the single-center studies or conduct multi-center studies to explore the relationship between this SNP and neuroblastoma.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>In conclusion, we indicate that there is no association between the m5C-modified gene NSUN5 rs1880948 A&gt;G polymorphism and neuroblastoma susceptibility in specific populations. It is worthwhile to pursue further studies that encompass expanded sample sizes and rigorously investigate additional potential functional SNPs. It is valuable to identify other m5C-modified gene SNPs associated with neuroblastoma, possibly providing theoretical implications for potential mechanisms and early diagnosis of neuroblastoma.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are provided in the article/supplementary materials; all the data are available upon request from the correspondence authors (Jing He, Yan Zou or Tianyou Yang).</p></sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Hospital&#x2019;s institutional review board. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin. The animal study was approved by Hospital&#x2019;s institutional review board. The study was conducted in accordance with the local legislation and institutional requirements. Written informed consent was obtained from the individual(s), and minor(s)&#x2019; legal guardian/next of kin, for the publication of any potentially identifiable images or data included in this article.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>ZY: Formal analysis, Writing &#x2013; original draft, Software, Investigation, Methodology, Conceptualization. HZ: Data curation, Writing &#x2013; original draft, Investigation. MZ:&#xa0;Investigation, Writing &#x2013; original draft, Visualization. CH:&#xa0;Supervision, Writing &#x2013; original draft, Resources. JP: Validation, Writing &#x2013; original draft, Software. JY: Writing &#x2013; original draft, Validation, Visualization. TT: Software, Writing &#x2013; original draft, Validation. CZ: Writing &#x2013; review &amp; editing, Data curation. JH: Resources, Conceptualization, Writing &#x2013; review &amp; editing, Supervision. YZ:&#xa0;Supervision, Writing &#x2013; review &amp; editing, Conceptualization. TY: Resources, Supervision, Conceptualization, Writing &#x2013; review &amp; editing, Funding acquisition.</p></sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The authors declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p></sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
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