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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1615976</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of cyclosporine A-related single nucleotide polymorphisms on post-transplant outcomes in pediatric hematologic malignancy patients undergoing allogeneic hematopoietic stem cell transplantation</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Ji</surname>
<given-names>Qi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhang</surname>
<given-names>Senlin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2378752/overview"/>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Minyuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhang</surname>
<given-names>Weiliang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3040587/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Lixia</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1056829/overview"/>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Chai</surname>
<given-names>Yutan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Gao</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1183549/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Bohan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2408691/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Du</surname>
<given-names>Zhizhuo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2247433/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Yixin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1638046/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Xiao</surname>
<given-names>Peifang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1734700/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ling</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Fan</surname>
<given-names>Liyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Bian</surname>
<given-names>Xinni</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Hong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1749052/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lu</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2246570/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Yongping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1611202/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wu</surname>
<given-names>Shuiyan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2420956/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Qin</surname>
<given-names>Jiayue</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/929021/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hu</surname>
<given-names>Shaoyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/575938/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Yizhen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Hematology and Oncology, Children&#x2019;s Hospital of Soochow University</institution>, <addr-line>Suzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Medical Affairs, Acornmed Biotechnology Co., Ltd.</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Pediatric Hematology and Oncology, Key Laboratory of Higher Education Institutions in Jiangsu Province</institution>, <addr-line>Suzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Pediatric Intensive Care Unit, Children&#x2019;s Hospital of Soochow University</institution>, <addr-line>Suzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Qi Zhang, Yale University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Debmalya Sengupta, Bidhannagar College, India</p>
<p>Zheng Yuan, China Academy of Chinese Medical Sciences, China</p>
<p>Yuanyin Teng, Zhejiang University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yongping Zhang, <email xlink:href="mailto:ypzhang@alu.suda.edu.cn">ypzhang@alu.suda.edu.cn</email>; Shuiyan Wu, <email xlink:href="mailto:wushuiyany@163.com">wushuiyany@163.com</email>; Jiayue Qin, <email xlink:href="mailto:jyqin@live.cn">jyqin@live.cn</email>; Shaoyan Hu, <email xlink:href="mailto:hushaoyan@suda.edu.cn">hushaoyan@suda.edu.cn</email>; Yizhen Li, <email xlink:href="mailto:liyz@suda.edu.cn">liyz@suda.edu.cn</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1615976</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Ji, Zhang, Liu, Zhang, Liu, Chai, Gao, Li, Du, Hu, Xiao, Ling, Fan, Bian, Chen, Li, Lu, Zhang, Wu, Qin, Hu and Li</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Ji, Zhang, Liu, Zhang, Liu, Chai, Gao, Li, Du, Hu, Xiao, Ling, Fan, Bian, Chen, Li, Lu, Zhang, Wu, Qin, Hu and Li</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>
<sec>
<title>Background</title>
<p>Calcineurin inhibitors (CNIs), such as cyclosporine A (CsA), are widely used as immunosuppressants for both prophylactic and therapeutic purposes in patients with graft-versus-host disease (GVHD) after allogeneic hematopoietic stem cell transplantation (allo-HSCT). CsA-related transporters and metabolic enzymes single nucleotide polymorphisms (SNPs) are associated with the efficacy of CsA in individuals. However, few studies have explored how CsA-related SNPs correlate with post-transplant complications and prognosis.</p>
</sec>
<sec>
<title>Methods</title>
<p>Here, our study involved 128 pediatric hematological malignancy patients undergoing allo-HSCT with GVHD prophylaxis based on CsA. All patients were detected for CsA-related SNPs. We investigated the associations between the CsA-related SNPs and post-transplant complications and prognosis.</p>
</sec>
<sec>
<title>Results</title>
<p>We examined twenty-three CsA-related SNPs. Based on multivariate analysis using Cox regression, we identified umbilical cord blood HSCT and donor-recipient HLA matches of 9/10-10/10 as independent factors for peri-engraftment syndrome (hazard ratio (HR) = 2.82, <italic>P</italic> = 0.008; HR = 0.30, <italic>P</italic> = 0.021, respectively); recipient weight &#x2264; 26 kg, donor-recipient major or minor ABO blood type mismatch, and <italic>CYP2C19</italic> (99T&gt;C) variant genotype as independent risk factors for grades II-IV acute GVHD (aGVHD) (HR = 2.08, <italic>P</italic> = 0.008; HR = 2.56, <italic>P</italic> = 0.008; HR = 2.22, <italic>P</italic> = 0.014; HR = 1.80, <italic>P</italic> = 0.042, respectively); matched unrelated donor HSCT and donor-recipient HLA matches of 9/10-10/10 as independent factors for Epstein-Barr virus infection (HR = 5.22, <italic>P</italic> = 0.019; HR = 0.13, <italic>P</italic> = 0.003); <italic>CYP3A5</italic> (219-237C&gt;T) variant genotype as an independent protective factor for cytomegalovirus infection (HR = 0.58, <italic>P</italic> = 0.025); recipient being male, age at transplantation &#x2264; 104 months, <italic>ABCB1</italic> (1236C&gt;T) CT/TT genotype, and <italic>SLCO1B1</italic> (1865 + 4846T&gt;C) TC/CC genotype as independent factors for hemorrhagic cystitis (HR = 2.65, <italic>P</italic> = 0.024; HR = 0.46, <italic>P</italic> = 0.023; HR = 0.39, <italic>P</italic> = 0.030; HR = 0.32, <italic>P</italic> = 0.001, respectively); and donor-recipient HLA matches of 9/10-10/10 as an independent protective factor for capillary leak syndrome (CLS) (HR = 0.19, <italic>P</italic> = 0.031). Additionally, we found a body weight &#x2264; 26 kg, CLS after HSCT, <italic>SLC29A1</italic> (-162 + 228A&gt;C) AC/CC genotype were independent factors for both disease-free survival (HR = 0.38, <italic>P</italic> = 0.022; HR = 2.64, <italic>P</italic> = 0.023; HR = 0.29, <italic>P</italic> = 0.016, respectively) and overall survival (HR = 0.27, <italic>P</italic> = 0.007; HR = 3.83, <italic>P</italic> = 0.003; HR = 0.22, <italic>P</italic> = 0.005, respectively).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our study revealed correlations between CsA-related transporters and metabolic enzymes SNPs and post-transplant complications and prognosis, contributing to a better understanding of the interindividual difference in efficacy. Future studies on adjusting the dosage of drugs based on SNPs in clinical practice may be one of the options for improving the HSCT outcomes.</p>
</sec>
</abstract>
<kwd-group>
<kwd>HSCT</kwd>
<kwd>CSA</kwd>
<kwd>SNP</kwd>
<kwd>complication</kwd>
<kwd>prognosis</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="63"/>
<page-count count="7"/>
<word-count count="6980"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Allogeneic hematopoietic stem cell transplantation (allo-HSCT) has emerged as an effective treatment for refractory or relapsed hematological malignancies, including leukemia, lymphoma and myelodysplastic syndrome (<xref ref-type="bibr" rid="B1">1</xref>). Despite its therapeutic benefits, graft-versus-host disease (GVHD) remains one of the most significant complications following HSCT and a leading cause of transplant-related morbidity and mortality. The prognosis for patients with severe (grade III-IV) GVHD remains particularly poor, with reported survival rates varying from 25% in the adult population to 55% in pediatric cohorts (<xref ref-type="bibr" rid="B2">2</xref>). While the treatment with immunosuppressants has reduced the incidence and mortality of GVHD, this has been accompanied by an increased risk of other clinically significant complications, including opportunistic infections (particularly cytomegalovirus (CMV) and Epstein-Barr virus (EBV) reactivation), hemorrhagic cystitis (HC), and capillary leak syndrome (CLS) (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Calcineurin inhibitors (CNIs), like cyclosporine A (CsA), remain a cornerstone in both the prophylaxis and treat GVHD after HSCT, which significantly enhanced the overall survival (OS) rates after transplantation (<xref ref-type="bibr" rid="B4">4</xref>). Cyclosporine A (CsA) is an 11-amino acid cyclic peptide obtained from fungal fermentation. CsA works by selectively inhibiting the activity of calcineurin, which suppresses the lymphocyte activation and proliferation, leading to its immunosuppressive effects (<xref ref-type="bibr" rid="B5">5</xref>). The early post-transplant concentration of CsA is closely associated with GVHD risk, highlighting the importance of individualized drug management (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>CsA is mainly metabolized by enzymes from the CYP450 family, predominantly CYP3A4 and CYP3A5 (<xref ref-type="bibr" rid="B7">7</xref>). For example, <italic>CYP3A5*3C</italic>, a splicing variant in intron 3, leads to aberrant mRNA splicing and a premature stop codon, resulting in a truncated, non-functional protein (<xref ref-type="bibr" rid="B8">8</xref>). Several studies have demonstrated that the <italic>CYP3A5*3C/*3C</italic> genotype correlates with a higher CsA C<sub>0</sub>/dose in early renal transplant patients (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Moreover, <italic>CYP3A4*1G</italic> and <italic>CYP3A5*3C</italic> are in strong linkage disequilibrium in Asians, and individuals carrying the <italic>CYP3A5*1</italic> allele are more likely to co-inherit the <italic>CYP3A4*1G</italic> allele than the <italic>CYP3A4*1</italic> allele. These indicate differences in individual single nucleotide polymorphism (SNP) are the primary factors affecting the metabolic activities of these enzymes.</p>
<p>In addition to metabolic enzymes, CsA acts as a substrate for various influx and efflux transporters, such as ABCB1 and SLCO1B1 (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). SNP variations in transporter coding gene, such as <italic>ABCB1</italic>, have been associated with altered CsA pharmacokinetics. Notably, <italic>ABCB1</italic> 3435CC genotype carriers tend to require higher CsA doses than 3435TT carriers, particularly in Asian populations and during the early post-transplant period (<xref ref-type="bibr" rid="B13">13</xref>). Other metabolic pathways, including UGT1A8 and BMP-related pathways, may also contribute to CsA disposition, although these associations remain less well defined (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>However, limited reports have examined the relationship between gene SNPs and clinical complications after transplantation.Our study aimed to identity gene SNPs of CsA-related transporters and metabolic enzymes, including ABC, BMP, CYP, MTHFR, MTRR, SLC, STIM1, UGT1A8 family, and correlate these SNPs with common post-transplant clinical complications in 128 pediatric hematological malignancy patients.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study designs</title>
<p>We performed a retrospective cohort study of 128 patients who received allo-HSCT in Children&#x2019;s Hospital of Soochow University (Suzhou, China) between June 2019 and June 2021 (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The Institutional Review Board at Children&#x2019;s Hospital of Soochow University approved the study (No. 2023CS105) and all recipients and donors provided written informed consent according to the Declaration of Helsinki. The study inclusion criteria were as follows: (1) allo-HSCT; (2) first-time transplant; (3) patients aged less than 18 years old; (4) received CsA-based GVHD prophylaxis; (5) presence of informed consent to CsA-related genotyping. Patients were excluded if they: (1) discontinued CsA prematurely for any reason; (2) had a documented allergy or intolerance to CsA.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Patient clinical characteristics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Demographic information</th>
<th valign="top" align="left">Patient cohort (n = 128)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, median (IQR) months</td>
<td valign="top" align="center">104 (54, 144)</td>
</tr>
<tr>
<td valign="top" align="left">Weight, median (IQR) kg</td>
<td valign="top" align="center">26 (17.45, 38.5)</td>
</tr>
<tr>
<td valign="top" align="left">Neutrophil recovery day, median (IQR) day</td>
<td valign="top" align="center">12 (11, 13)</td>
</tr>
<tr>
<td valign="top" align="left">Platelet recovery day, median (IQR) day</td>
<td valign="top" align="center">11 (10, 15)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Diagnosis, n (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;AML</td>
<td valign="top" align="center">62 (48.4%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ALL</td>
<td valign="top" align="center">57 (44.5%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MAPL</td>
<td valign="top" align="center">5 (3.9%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CML</td>
<td valign="top" align="center">1 (0.8%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;JMML</td>
<td valign="top" align="center">2 (1.6%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;T-LBL</td>
<td valign="top" align="center">1 (0.8%)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Gender, n (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">37 (28.9%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">91 (71.1%)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">ABO match, n (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Matched</td>
<td valign="top" align="center">59 (46.1%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Major mismatched</td>
<td valign="top" align="center">24 (18.8%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Minor mismatched</td>
<td valign="top" align="center">35 (27.3%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mismatched</td>
<td valign="top" align="center">10 (7.8%)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Donor type, n (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Haplo-HSCT</td>
<td valign="top" align="center">84 (65.6%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MSD-HSCT</td>
<td valign="top" align="center">12 (9.4%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MUD-HSCT</td>
<td valign="top" align="center">12 (9.4%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;UCB-HSCT</td>
<td valign="top" align="center">20 (15.6%)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Transplantation, n (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;BM + PB + CB</td>
<td valign="top" align="center">40 (31.2%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;PB</td>
<td valign="top" align="center">49 (38.3%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CB</td>
<td valign="top" align="center">13 (10.2%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;BM + PB</td>
<td valign="top" align="center">22 (17.2%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;BM</td>
<td valign="top" align="center">1 (0.8%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;BM + CB</td>
<td valign="top" align="center">1 (0.8%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;PB + CB</td>
<td valign="top" align="center">2 (1.6%)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">HLA match, n (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;5/10</td>
<td valign="top" align="center">44 (34.4%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;9/10-10/10</td>
<td valign="top" align="center">42 (32.8%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;6/10-8/10</td>
<td valign="top" align="center">42 (32.8%)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">BM state before transplantation, n (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;PR/NR</td>
<td valign="top" align="center">9 (7%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CR</td>
<td valign="top" align="center">119 (93%)</td>
</tr>
<tr>
<td valign="top" align="left">MNC, median (IQR) &#xd7;10<sup>8</sup>/kg</td>
<td valign="top" align="center">6.825 (4.98, 8.3075)</td>
</tr>
<tr>
<td valign="top" align="left">CD34+ cell, median (IQR) &#xd7;10<sup>6</sup>/kg</td>
<td valign="top" align="center">6.585 (4.7625, 8.6775)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SNP, single nucleotide polymorphism; IQR, interquartile range; AML, acute myeloid leukemia; ALL, acute lymphoblastic leukemia; MAPL, mixed-phenotype acute leukemia; CML, chronic myeloid leukemia; JMML, juvenile myelomonocytic leukemia; T-LBL, T-cell lymphoblastic lymphoma; MNC, mononuclear cells; BM, bone marrow; CR, complete remission; PR, partial remission; NR, no remission; GVHD, graft-versus-host disease; PB, peripheral blood; CB, cord blood; HLA, human leukocyte antigen.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Conditioning regimen and GVHD prophylaxis</title>
<p>All patients in the conditioning stage received a myeloablative regimen incorporating the combination of busulfan and cyclophosphamide (BuCy). Drug dosages were tailored according to individual patient parameters including height, weight, body surface area to optimize the therapeutic regimen in terms of both scientific rationale and efficacy. Busulfan was administered intravenously at 0.8 mg/kg every 6 hours for 3 or 4 consecutive days, and cyclophosphamide was given intravenously at a total dose of 120 mg/kg over 2 or 3 days. In certain cases, supplementary regimens like fludarabine and cytarabine (FLAG) or cladribine and cytarabine (CLAG) may be introduced as bridging therapies alongside the BuCy transplantation. In the FLAG group, fludarabine (30 mg/m&#xb2;/day) and cytarabine (2 g/m&#xb2;/day) were administered intravenously for 4 days, with G-CSF (5 &#xb5;g/kg/day) given subcutaneously for 5 days. In the CLAG group, cladribine (5 mg/m&#xb2;/day) and cytarabine (2 g/m&#xb2;/day) were administered intravenously for 3 or 5 days, along with subcutaneous granulocyte-colony stimulating factor (G-CSF, 5 &#xb5;g/kg/day) for 4 or 6 days.</p>
<p>The GVHD prophylaxis included oral CsA and MMF. CsA was administered at 6&#x2013;10 mg/kg/day every 12 hours. MMF was given at 15 mg/kg/day every 12 hours, with the dose halved on day 30 post-transplant and discontinued by day 45. Umbilical cord blood (UCB) transplantation and fully matched sibling transplantation typically require CsA levels of approximately 150&#x2013;200 ng/ml, while unrelated fully matched transplantation and haploidentical transplantation require CsA levels of around 200&#x2013;250 ng/ml. Additionally, some patients concurrently received oral methotrexate (MTX) as a prophylactic measure against GVHD, administered at 15 mg/m&#xb2; on day +1 and 10 mg/m&#xb2; on days +3, +6, and +11.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Post-transplant evaluation</title>
<p>Neutrophil engraftment was defined as achieving an absolute neutrophil count &#x2265; 0.5&#xd7;10<sup>9</sup>/L for three consecutive days. Platelet engraftment was defined as reaching a platelet count &#x2265; 20&#xd7;10<sup>9</sup>/L without requiring transfusion support for seven consecutive days. A myeloablative conditioning regimen, defined as Bu exceeding 8 mg/kg. Primary graft failure (GF) was defined as the failure of neutrophil engraftment at day +28 post-HSCT, secondary GF was defined as the development of neutrophil count&#x2009;&lt;&#x2009;0.5&#xd7;10<sup>9</sup>/L occurring after the initial engraftment. The diagnosis and grading of aGVHD and chronic GVHD (cGVHD) were performed by the transplant center using standard criteria (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). The definition of hemorrhagic cystitis (HC), capillary leak syndrome (CLS) and Peri-engraftment syndrome (Peri-ES) follow as per previous standards (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). CMV and EBV viremia was defined by a viral DNA level &#x2265;&#x2009;500 copies/mL in plasma.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Next-generation sequencing experiments</title>
<p>Genomic DNA was isolated from bone marrow diagnostic samples. A total of 27 genes was used for next-generation sequencing (NGS) at Acornmed Biotechnology Co., Ltd (Tianjin, China). The rest standards were same as our previous study (<xref ref-type="bibr" rid="B21">21</xref>). Based on literature review (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>), a total of 23 SNPs of CsA-related transporters and metabolic enzymes were analyzed in our cohort (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>CsA-related transporters and metabolic enzymes SNP frequencies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Gene family</th>
<th valign="middle" align="left">SNP</th>
<th valign="middle" align="left">Genotype</th>
<th valign="middle" align="left">Patient, n (%)</th>
<th valign="middle" align="left">Theoretical frequency, n</th>
<th valign="middle" align="left">
<italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="18" align="left">
<italic>ABC</italic>
</td>
<td valign="middle" align="left">
<italic>ABCB1</italic> (1000-44C&gt;T)</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">54 (42.2%)</td>
<td valign="middle" align="left">55.13</td>
<td valign="middle" align="left">0.66</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CT</td>
<td valign="middle" align="left">60 (46.9%)</td>
<td valign="middle" align="left">57.75</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">14 (10.9%)</td>
<td valign="middle" align="left">15.13</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>ABCB1</italic> (1199C&gt;T)</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">128(%)</td>
<td valign="middle" align="left">128</td>
<td valign="middle" align="left">NA</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CT</td>
<td valign="middle" align="left">0 (%)</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">0 (%)</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>ABCB1</italic> (1236C&gt;T)</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">14 (10.9%)</td>
<td valign="middle" align="left">15.13</td>
<td valign="middle" align="left">0.66</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CT</td>
<td valign="middle" align="left">60 (46.9%)</td>
<td valign="middle" align="left">57.75</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">54 (42.2%)</td>
<td valign="middle" align="left">55.13</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>ABCB1</italic> (1554 + 24A&gt;G)</td>
<td valign="middle" align="left">AA</td>
<td valign="middle" align="left">54 (42.2%)</td>
<td valign="middle" align="left">55.13</td>
<td valign="middle" align="left">0.66</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">AG</td>
<td valign="middle" align="left">60 (46.9%)</td>
<td valign="middle" align="left">57.75</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">GG</td>
<td valign="middle" align="left">14 (10.9%)</td>
<td valign="middle" align="left">15.13</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>ABCB1</italic> (1725 + 38C&gt;T)</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">54 (42.2%)</td>
<td valign="middle" align="left">55.13</td>
<td valign="middle" align="left">0.66</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CT</td>
<td valign="middle" align="left">60 (46.9%)</td>
<td valign="middle" align="left">57.75</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">14 (10.9%)</td>
<td valign="middle" align="left">15.13</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>ABCB1</italic> (3435C&gt;T)</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">47 (36.7%)</td>
<td valign="middle" align="left">45.13</td>
<td valign="middle" align="left">0.49</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CT</td>
<td valign="middle" align="left">58 (45.3%)</td>
<td valign="middle" align="left">61.75</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">23 (18%)</td>
<td valign="middle" align="left">21.13</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">
<italic>BMP</italic>
</td>
<td>
<italic>BMP7</italic> (g.57126159C&gt;T)</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">118 (92.2%)</td>
<td valign="middle" align="left">118.20</td>
<td valign="middle" align="left">0.65</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CT</td>
<td valign="middle" align="left">10 (7.8%)</td>
<td valign="middle" align="left">9.61</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">0 (%)</td>
<td valign="middle" align="left">0.20</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="27" align="left">
<italic>CYP</italic>
</td>
<td valign="middle" align="left">
<italic>CYP2C19</italic> (-3402C&gt;T)</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">127 (99.2%)</td>
<td valign="middle" align="left">127.00</td>
<td valign="middle" align="left">0.96</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CT</td>
<td valign="middle" align="left">1 (0.8%)</td>
<td valign="middle" align="left">1.00</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">0 (%)</td>
<td valign="middle" align="left">0.00</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>CYP2C19</italic> (636G&gt;A)</td>
<td valign="middle" align="left">GG</td>
<td valign="middle" align="left">115 (89.8%)</td>
<td valign="middle" align="left">115.33</td>
<td valign="middle" align="left">0.55</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">GA</td>
<td valign="middle" align="left">13 (10.2%)</td>
<td valign="middle" align="left">12.34</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">AA</td>
<td valign="middle" align="left">0 (%)</td>
<td valign="middle" align="left">0.33</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>CYP2C19</italic> (681G&gt;A)</td>
<td valign="middle" align="left">GG</td>
<td valign="middle" align="left">50 (39.1%)</td>
<td valign="middle" align="left">55.13</td>
<td valign="middle" align="left">0.04</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">GA</td>
<td valign="middle" align="left">68 (53.1%)</td>
<td valign="middle" align="left">57.75</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">AA</td>
<td valign="middle" align="left">10 (7.8%)</td>
<td valign="middle" align="left">15.13</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>CYP2C19</italic> (-806C&gt;T)</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">127 (99.2%)</td>
<td valign="middle" align="left">127.00</td>
<td valign="middle" align="left">0.96</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CT</td>
<td valign="middle" align="left">1 (0.8%)</td>
<td valign="middle" align="left">1.00</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">0 (%)</td>
<td valign="middle" align="left">0.00</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>CYP2C19</italic> (991A&gt;G)</td>
<td valign="middle" align="left">AA</td>
<td valign="middle" align="left">0 (0%)</td>
<td valign="middle" align="left">0.50</td>
<td valign="middle" align="left">0.45</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">GA</td>
<td valign="middle" align="left">16 (12.5%)</td>
<td valign="middle" align="left">15.00</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">GG</td>
<td valign="middle" align="left">112 (87.5%)</td>
<td valign="middle" align="left">112.50</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>CYP2C19</italic> (99T&gt;C)</td>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">99 (77.3%)</td>
<td valign="middle" align="left">100.64</td>
<td valign="middle" align="left">0.15</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TC</td>
<td valign="middle" align="left">29 (22.7%)</td>
<td valign="middle" align="left">25.71</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">0 (0%)</td>
<td valign="middle" align="left">1.64</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>CYP2C8</italic> (1291 + 106T&gt;C)</td>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">16 (12.5%)</td>
<td valign="middle" align="left">19.14</td>
<td valign="middle" align="left">0.24</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CT</td>
<td valign="middle" align="left">67 (52.3%)</td>
<td valign="middle" align="left">60.71</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">45 (35.2%)</td>
<td valign="middle" align="left">48.14</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>CYP3A4</italic> (-392C&gt;T)</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">0 (0%)</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">NA</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CT</td>
<td valign="middle" align="left">0 (0%)</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">128(%)</td>
<td valign="middle" align="left">128</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>CYP3A5</italic> (219-237C&gt;T)</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">68 (53.1%)</td>
<td valign="middle" align="left">69.77</td>
<td valign="middle" align="left">0.42</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CT</td>
<td valign="middle" align="left">53 (41.4%)</td>
<td valign="middle" align="left">49.46</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">7 (5.5%)</td>
<td valign="middle" align="left">8.77</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">
<italic>MTHFR</italic>
</td>
<td valign="middle" align="left">
<italic>MTHFR</italic> (665C&gt;T)</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">29 (22.7%)</td>
<td valign="middle" align="left">25.83</td>
<td valign="middle" align="left">0.26</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CT</td>
<td valign="middle" align="left">57 (44.5%)</td>
<td valign="middle" align="left">63.34</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">42 (32.8%)</td>
<td valign="middle" align="left">38.83</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">
<italic>MTRR</italic>
</td>
<td valign="middle" align="left">
<italic>MTRR</italic> (66A&gt;G)</td>
<td valign="middle" align="left">AA</td>
<td valign="middle" align="left">79 (61.7%)</td>
<td valign="middle" align="left">77.35</td>
<td valign="middle" align="left">0.40</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">AG</td>
<td valign="middle" align="left">41 (32%)</td>
<td valign="middle" align="left">44.31</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">GG</td>
<td valign="middle" align="left">8 (6.2%)</td>
<td valign="middle" align="left">6.35</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="9" align="left">
<italic>SLC</italic>
</td>
<td valign="middle" align="left">
<italic>SLC29A1</italic> (-162 + 228A&gt;C)</td>
<td valign="middle" align="left">AA</td>
<td valign="middle" align="left">10 (7.8%)</td>
<td valign="middle" align="left">10.70</td>
<td valign="middle" align="left">0.76</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">AC</td>
<td valign="middle" align="left">54 (42.2%)</td>
<td valign="middle" align="left">52.61</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">64 (50%)</td>
<td valign="middle" align="left">64.70</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>SLCO1B</italic>1 (1865 + 4846T&gt;C)</td>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">51 (39.8%)</td>
<td valign="middle" align="left">49.38</td>
<td valign="middle" align="left">0.54</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TC</td>
<td valign="middle" align="left">57 (44.5%)</td>
<td valign="middle" align="left">60.25</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">20 (15.6%)</td>
<td valign="middle" align="left">18.38</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>SLCO1B1</italic> (521T&gt;C)</td>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">106 (82.8%)</td>
<td valign="middle" align="left">104.22</td>
<td valign="middle" align="left">0.07</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TC</td>
<td valign="middle" align="left">19 (14.8%)</td>
<td valign="middle" align="left">22.56</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">3 (2.3%)</td>
<td valign="middle" align="left">1.22</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">
<italic>STIM1</italic>
</td>
<td valign="middle" align="left">
<italic>STIM1</italic> (1138-52A&gt;C)</td>
<td valign="middle" align="left">AA</td>
<td valign="middle" align="left">0 (0%)</td>
<td valign="middle" align="left">0.33</td>
<td valign="middle" align="left">0.55</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">AC</td>
<td valign="middle" align="left">13 (10.2%)</td>
<td valign="middle" align="left">12.34</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">115 (89.8%)</td>
<td valign="middle" align="left">115.33</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">
<italic>UGT1A8</italic>
</td>
<td valign="middle" align="left">
<italic>UGT1A8</italic> (518C&gt;G)</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">32 (25%)</td>
<td valign="middle" align="left">35.07</td>
<td valign="middle" align="left">0.28</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">CG</td>
<td valign="middle" align="left">70 (54.7%)</td>
<td valign="middle" align="left">63.86</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">GG</td>
<td valign="middle" align="left">26 (20.3%)</td>
<td valign="middle" align="left">29.07</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SNP, single nucleotide polymorphism; NA, not applicable.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>All data analyses were performed using SPSS software (version 22.0) or R (version 3.5.2). Differences between two groups were compared using independent sample t-tests or Mann-Whitney U non-parametric tests for quantitative variables. For categorical variables, Chi-square tests or Fisher&#x2019;s exact test were employed. Factors with a <italic>P</italic>-value &lt; 0.2 via univariate analysis using the Log-rank test were further included in a Cox regression model for multivariate analysis of factors related to clinical outcome events. Genetic conformity to Hardy-Weinberg equilibrium was analyzed using the Chi-square test, with <italic>P</italic> &gt; 0.05 considered to indicate adherence to Hardy-Weinberg equilibrium. All tests were two-sided, and statistical significance was set at <italic>P</italic> &lt; 0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Patient characteristics</title>
<p>This study involved 128 pediatric patients with hematologic malignancies who underwent HSCT, with their clinical characteristics detailed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The median age at HSCT was 104 months. The most common disease types included acute lymphoblastic leukemia (ALL, 44.5%), acute myeloid leukemia (AML, 48.4%), mixed phenotype acute leukemia (MAPL, 3.9%), and juvenile myelomonocytic leukemia (JMML, 1.6%). All patients received a prophylaxis regimen for GVHD based on CsA. Ultimately, all patients achieved hematopoietic recovery. The median time for neutrophil and platelet engraftment were 12 days (interquartile range (IQR), 11-13) and 11 days (IQR, 10-15), respectively.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>CsA-related transporters and metabolic enzymes SNP</title>
<p>
<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> and <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> provide descriptions of SNPs related to CsA-related transporters and metabolic enzymes. We examined twenty-three CsA-related SNPs. The most frequently observed genotypes were <italic>SLC29A1</italic> (-162 + 228A&gt;C), followed by <italic>ABCB1</italic> (1236C&gt;T) and <italic>CYP2C8</italic> (1291 + 106T&gt;C) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Among the CsA-related SNPs, <italic>CYP2C19</italic> (681G&gt;A), <italic>ABCB1</italic> (1199C&gt;T), and <italic>CYP3A4</italic> (-392C&gt;T) did not conform to Hardy-Weinberg equilibrium, whereas the remaining SNPs did (<italic>P</italic> &gt; 0.05, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>CsA-related transporters and metabolic enzymes gene SNP frequencies in 128 pediatric patients receiving allo-HSCT. Heatmap shows the specific variants in each patient based on different genotypes, according to different subtypes of malignant hematological diseases. CsA, cyclosporine A; SNP, single nucleotide polymorphism; allo-HSCT, allogeneic hematopoietic stem cell transplantation; AML, acute myeloid leukemia; ALL, acute lymphoblastic leukemia; MAPL, mixed-phenotype acute leukemia; CML, chronic myeloid leukemia; JMML, juvenile myelomonocytic leukemia; T-LBL, T-cell lymphoblastic lymphoma. aGVHD, acute graft-versus-host disease; cGVHD, chronic GVHD; CMV, cytomegalovirus; EBV, Epstein-Barr virus; Peri-ES, peri-engraftment syndrome; HC, hemorrhagic cystitis; CLS, capillary leak syndrome.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1615976-g001.tif">
<alt-text content-type="machine-generated">Genotype and clinical complication heatmap showing single nucleotide polymorphism (SNP) genotypes and diagnoses. Orange indicates SNP variants, and gray indicates wild type. The top section displays various SNP genotypes with diagnoses categorized by color: AML, ALL, MAPL, JMML, CML, T-LBL. The lower section shows clinical complications, including aGVHD, cGVHD, CMV, EBV, and others, highlighting occurrences with teal and gray bars.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Correlation between CsA-related SNPs and post-transplant complications</title>
<p>We examined how CsA-related transporters and metabolic enzymes SNPs are associated with post-transplant complications, including GVHD, viral infection, Peri-ES, HC and CLS. This study involved 128 patients, of whom 61 (47.7%) had grades II-IV acute GVHD (aGVHD), and 18 (14.1%) experienced grades III-IV aGVHD. Additionally, 61 patients (47.7%) had cGVHD, 74 (57.8%) had CMV infection, 68 (53.1%) had EBV infection, 71 (55.5%) had Peri-ES, 38 (29.7%) had HC, and 21 (16.4%) had CLS.</p>
<p>We performed univariate analysis with the Log-rank test, and found that the recipients with major ABO blood type mismatches had a significantly higher incidence of Peri-ES than those with fully matched cases (<italic>P</italic> = 0.043). Moreover, recipients of HLA-matched sibling donor HSCT (MSD-HSCT) and matched unrelated donor HSCT (MUD-HSCT) experienced lower incidences of Peri-ES compared to those undergoing recipients of HLA-matched sibling donor HSCT (MSD-HSCT) and matched unrelated donor HSCT (MUD-HSCT) experienced lower incidences of Peri-ES compared to those undergoing haploidentical HSCT (Haplo-HSCT) (<italic>P</italic> = 0.014, <italic>P</italic> = 0.043, respectively). In contrast, recipients of umbilical cord blood HSCT (UCB-HSCT) had a significantly higher incidence of Peri-ES than those receiving Haplo-HSCT (<italic>P</italic> = 0.049). Additionally, the incidence of Peri-ES was significantly lower in recipients with HLA matches of 9/10-10/10 compared to those with 5/10 match (<italic>P</italic> &lt; 0.001). Furthermore, patients with <italic>BMP7</italic> (g.57126159C&gt;T) CT/TT genotypes showed an increased incidence of Peri-ES (HR = 0.28, <italic>P</italic> = 0.045) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>). Regarding GVHD, we found that recipients with weight &#x2264; 26 kg had a significantly higher incidence of grades II-IV aGVHD compared to those with weight &gt; 26kg (<italic>P</italic> = 0.014). UCB-HSCT recipients exhibited a higher incidence of grades II-IV aGVHD compared to those receiving Haplo-HSCT (<italic>P</italic> = 0.035) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>). Recipients with donor-recipient major ABO blood type mismatches had a significantly higher incidence of grades III-IV aGVHD compared to those with fully matched cases (<italic>P</italic> = 0.040) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>). MUD-HSCT recipients exhibited a significantly lower incidence of cGVHD than those receiving Haplo-HSCT (<italic>P</italic> &lt; 0.001). Recipients with HLA matching of 9/10-10/10 had a significantly lower incidence of cGVHD than those with HLA matching of 5/10 (<italic>P</italic> = 0.002). Moreover, recipients with lower mononuclear nuclear cell (MNC) infusion dose (&#x2264; 6.83&#xd7;10<sup>8</sup>/kg) had a significantly lower incidence of cGVHD than those with a higher dose (<italic>P</italic> = 0.005). Carriers of the <italic>SLCO1B1</italic> (521T&gt;C) TT genotype had a higher incidence of cGVHD compared to carriers of the TC/CC genotype (<italic>P</italic> = 0.005) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S4</bold>
</xref>). The incidence of EBV infection was significantly lower in UCB-HSCT recipients compared to Haplo-HSCT recipients (<italic>P</italic> = 0.010). Recipients with HLA matches of 9/10-10/10 showed a lower incidence compared to those with 5/10 HLA matches (<italic>P</italic> = 0.018). Wild-type alleles of <italic>ABCB1</italic> (1000-44C&gt;T), <italic>ABCB1</italic> (1554 + 24A&gt;G), <italic>ABCB1</italic> (1725 + 38C&gt;T), and <italic>CYP3A5</italic> (219-237C&gt;T) are associated with a significantly higher incidence of EBV infection compared to those with variant alleles (all <italic>P</italic> &lt; 0.050). (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S5</bold>
</xref>). MSD-HSCT recipients experienced significantly fewer CMV infections than those who received Haplo-HSCT (<italic>P</italic> = 0.046). Recipients with donor HLA matches of 9/10-10/10 had a significantly lower incidence of CMV infection compared to those with HLA matches of 5/10 (<italic>P</italic> = 0.006). Patients with <italic>CYP2C8</italic> (1291 + 106T&gt;C) TT genotypes exhibited a significantly higher incidence of CMV infection than those carrying the variant alleles (<italic>P</italic> = 0.015) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S6</bold>
</xref>). Age at transplantation &gt; 104 months and recipient weight &#x2265; 26 kg both increased incidence of HC (<italic>P</italic> = 0.040, <italic>P</italic> = 0.047, respectively). Recipients with donor HLA matches of 9/10-10/10 had a significantly lower incidence of HC than those with HLA matches of 5/10 (<italic>P</italic> = 0.014). Patients with <italic>ABCB1</italic> (1236C&gt;T) CC genotype and <italic>SLCO1B1</italic> (1865 + 4846T&gt;C) TT genotype showed a significantly higher incidence of HC compared to carriers with the variant alleles (<italic>P</italic> = 0.047, <italic>P</italic> = 0.007, respectively) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S7</bold>
</xref>). Recipients with donor HLA matches of 9/10-10/10 had a significantly lower incidence of CLS compared to those with HLA matches of 5/10 (<italic>P</italic> = 0.016) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S8</bold>
</xref>).</p>
<p>We constructed multivariate Cox regression analysis using variables selected by univariate Log-rank test analysis with <italic>P</italic> &lt; 0.2, and the results are presented in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>-<xref ref-type="supplementary-material" rid="SM1">
<bold>S8</bold>
</xref>. We identified UCB-HSCT was an independent risk factor for peri-ES (<italic>P</italic> = 0.008), while donor-recipient HLA matches of 9/10-10/10 was an independent protective factor for peri-ES (<italic>P</italic> = 0.021) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>). Recipients with weight &#x2264; 26 kg, major or minor ABO blood type mismatches, and <italic>CYP2C19</italic> (99T&gt;C) TC/CC genotype were all independent risk factors for grades II-IV aGVHD (all <italic>P</italic> &lt; 0.050) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>). MUD-HSCT increased the risk of EBV infection (<italic>P</italic> = 0.019), while donor-recipient HLA matches of 9/10-10/10 served as an independent protective factor for EBV infection (<italic>P</italic> = 0.003) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S5</bold>
</xref>). <italic>CYP3A5</italic> (219-237C&gt;T) CT/TT acted independently to protect against CMV infection (<italic>P</italic> = 0.025) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S6</bold>
</xref>). The risk factors for HC included recipient being male, age at transplantation &gt; 104 months, <italic>ABCB1</italic> (1236C&gt;T) CC genotype, and <italic>SLCO1B1</italic> (1865 + 4846T&gt;C) TT genotype (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S7</bold>
</xref>). HLA matches between donors and recipients, particularly 9/10-10/10, were an independent protective factor for CLS (<italic>P</italic> = 0.031) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S8</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Correlation between CsA-related SNPs and post-transplant prognosis</title>
<p>In this study, we evaluated the DFS and OS of the patients in our cohort, founding that the 5-year DFS was 78.8% &#xb1; 3.6%, and the 5-year OS was 81.9% &#xb1; 3.4%. We examined the factors that might influence patient prognosis, including DFS and OS, using both univariate Log-rank test and multivariate Cox regression analyses.</p>
<p>Our univariate analysis revealed that CLS and <italic>SLC29A1</italic> (-162 + 228A&gt;C) AA genotype were both associated with poor prognosis in DFS (<italic>P</italic> = 0.019, <italic>P</italic> = 0.019, respectively) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>, <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>), and body weight &#x2265; 26 kg, CLS, and <italic>SLC29A1</italic> (-162 + 228A&gt;C) AA genotype were identified as adverse prognostic factors in OS (<italic>P</italic> = 0.032, <italic>P</italic> = 0.002, <italic>P</italic> = 0.012, respectively) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>, <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Impact of weight, CLS, and CsA-related SNP on DFS <bold>(A)</bold> and OS <bold>(B)</bold> in 128 pediatric patients receiving allo-HSCT. CLS, capillary leak syndrome; CsA, cyclosporine A; SNP, single nucleotide polymorphism; DFS, disease-free survival; OS, overall survival; allo-HSCT, allogeneic hematopoietic stem cell transplantation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1615976-g002.tif">
<alt-text content-type="machine-generated">Survival curves for disease-free survival (DFS) and overall survival (OS) based on weight, clotting score (CLS), and SLC29A1 gene mutation status. Graphs show survival probabilities over 60 months with comparisons for groups: weight (&#x2264;26 kg vs. &gt;26 kg), CLS (No vs. Yes), and SLC29A1 (AC/CC vs. AA genotype). DFS graphs in the top row show statistical significance with P-values: 0.051, 0.019, and 0.019 respectively. OS graphs in the bottom row show P-values: 0.032, 0.002, and 0.012 respectively. Number at risk tables are presented below each graph.</alt-text>
</graphic>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Univariate and multivariate analyses of DFS.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Characteristics</th>
<th valign="top" colspan="2" align="center">Univariate analysis</th>
<th valign="top" colspan="2" align="center">Multivariate analysis</th>
</tr>
<tr>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>P</italic>-value</th>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>P-</italic>value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender, male vs. female</td>
<td valign="top" align="center">1.22 (0.53 - 2.77)</td>
<td valign="top" align="center">0.656</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Age, &#x2264; 104 months vs. &gt; 104 months</td>
<td valign="top" align="center">0.56 (0.26 - 1.19)</td>
<td valign="top" align="center">0.137</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Weight, &#x2264; 26 kg vs. &gt; 26 kg</td>
<td valign="top" align="center">0.46 (0.22 - 0.98)</td>
<td valign="top" align="center">0.051</td>
<td valign="top" align="center">0.38 (0.16 - 0.87)</td>
<td valign="top" align="center">0.022</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">ABO match</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Minor mismatched vs. Matched</td>
<td valign="top" align="center">0.54 (0.22 - 1.34)</td>
<td valign="top" align="center">0.230</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Major mismatched vs. Matched</td>
<td valign="top" align="center">1.02 (0.39 - 2.63)</td>
<td valign="top" align="center">0.974</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mismatched vs. Matched</td>
<td valign="top" align="center">0.37 (0.10 - 1.44)</td>
<td valign="top" align="center">0.315</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Donor type</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MSD-HSCT vs. Haplo-HSCT</td>
<td valign="top" align="center">1.07 (0.31 - 3.70)</td>
<td valign="top" align="center">0.917</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MUD-HSCT vs. Haplo-HSCT</td>
<td valign="top" align="center">0.60 (0.22 - 1.68)</td>
<td valign="top" align="center">0.408</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;UCB-HSCT vs. Haplo-HSCT</td>
<td valign="top" align="center">0.32 (0.09 - 1.13)</td>
<td valign="top" align="center">0.244</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">HLA match</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;6/10-8/10 vs. 5/10</td>
<td valign="top" align="center">1.06 (0.44 - 2.54)</td>
<td valign="top" align="center">0.905</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;9/10-10/10 vs. 5/10</td>
<td valign="top" align="center">0.71 (0.27 - 1.83)</td>
<td valign="top" align="center">0.478</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">BM state before HSCT, CR vs. PR/NR</td>
<td valign="top" align="center">0.58 (0.13 - 2.60)</td>
<td valign="top" align="center">0.365</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">MNC, &#x2264; 6.83x10<sup>8</sup>/kg vs. &gt; 6.83x10<sup>8</sup>/kg</td>
<td valign="top" align="center">1.21 (0.57 - 2.56)</td>
<td valign="top" align="center">0.629</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CD34+ cell, &#x2264; 6.59x10<sup>6</sup>/kg vs. &gt; 6.59x10<sup>6</sup>/kg</td>
<td valign="top" align="center">1.29 (0.61 - 2.74)</td>
<td valign="top" align="center">0.511</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Peri-ES, yes vs. no</td>
<td valign="top" align="center">1.07 (0.55 - 2.51)</td>
<td valign="top" align="center">0.682</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">II-IV aGVHD, yes vs. no</td>
<td valign="top" align="center">1.07 (0.50 - 2.28)</td>
<td valign="top" align="center">0.861</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">III-IV aGVHD, yes vs. no</td>
<td valign="top" align="center">1.07 (0.36 - 3.19)</td>
<td valign="top" align="center">0.896</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">cGVHD, yes vs. no</td>
<td valign="top" align="center">0.71 (0.33 - 1.51)</td>
<td valign="top" align="center">0.378</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CMV, yes vs. no</td>
<td valign="top" align="center">0.86 (0.40 - 1.86)</td>
<td valign="top" align="center">0.700</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">EBV, yes vs. no</td>
<td valign="top" align="center">1.14 (0.53 - 2.42)</td>
<td valign="top" align="center">0.740</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">HC, yes vs. no</td>
<td valign="top" align="center">1.23 (0.53 - 2.82)</td>
<td valign="top" align="center">0.617</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CLS, yes vs. no</td>
<td valign="top" align="center">2.58 (0.87 - 7.66)</td>
<td valign="top" align="center">0.019</td>
<td valign="top" align="center">2.64 (1.14 - 6.09)</td>
<td valign="top" align="center">0.023</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">SNP</th>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;ABCB1</italic> (1000-44C&gt;T) CT/TT vs. CC</td>
<td valign="top" align="center">1.11 (0.52 - 2.38)</td>
<td valign="top" align="center">0.791</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;ABCB1</italic> (1236C&gt;T) CT/TT vs. CC</td>
<td valign="top" align="center">0.67 (0.20 - 2.31)</td>
<td valign="top" align="center">0.464</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;ABCB1</italic> (1554 + 24A&gt;G) AG/GG vs. AA</td>
<td valign="top" align="center">1.11 (0.52 - 2.38)</td>
<td valign="top" align="center">0.791</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;ABCB1</italic> (1725 + 38C&gt;T) CT/TT vs. CC</td>
<td valign="top" align="center">1.11 (0.52 - 2.38)</td>
<td valign="top" align="center">0.791</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;ABCB1</italic> (3435C&gt;T) CT/TT vs. CC</td>
<td valign="top" align="center">1.20 (0.55 - 2.61)</td>
<td valign="top" align="center">0.661</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;BMP7</italic> (g.57126159C&gt;T) CT/TT vs. CC</td>
<td valign="top" align="center">0.87 (0.22 - 3.38)</td>
<td valign="top" align="center">0.849</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;CYP2C19</italic> (636G&gt;A) GA/AA vs. GG</td>
<td valign="top" align="center">1.06 (0.31 - 3.63)</td>
<td valign="top" align="center">0.923</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;CYP2C19</italic> (99T&gt;C) TC/CC vs. TT</td>
<td valign="top" align="center">0.96 (0.30 - 1.79)</td>
<td valign="top" align="center">0.533</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;CYP2C8</italic> (1291 + 106T&gt;C) TC/CC vs. TT</td>
<td valign="top" align="center">1.20 (0.39 - 3.68)</td>
<td valign="top" align="center">0.766</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;CYP3A5</italic> (219-237C&gt;T) CT/TT vs. CC</td>
<td valign="top" align="center">1.05 (0.49 - 2.23)</td>
<td valign="top" align="center">0.907</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;MTHFR</italic> (665C&gt;T) CT/TT vs. CC</td>
<td valign="top" align="center">1.01 (0.41 - 2.49)</td>
<td valign="top" align="center">0.985</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;MTRR</italic> (66A&gt;G) AG/GG vs. AA</td>
<td valign="top" align="center">0.94 (0.44 - 2.05)</td>
<td valign="top" align="center">0.886</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;SLC29A1</italic> (-162 + 228A&gt;C) AC/CC vs. AA</td>
<td valign="top" align="center">0.33 (0.08 - 1.45)</td>
<td valign="top" align="center">0.019</td>
<td valign="top" align="center">0.29 (0.11 - 0.79)</td>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;SLCO1B1</italic> (1865 + 4846T&gt;C) TC/CC vs. TT</td>
<td valign="top" align="center">1.75 (0.82 - 3.75)</td>
<td valign="top" align="center">0.179</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;SLCO1B1</italic> (521T&gt;C) TC/CC vs. TT</td>
<td valign="top" align="center">1.49 (0.54 - 4.18)</td>
<td valign="top" align="center">0.382</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>&#x2003;UGT1A8</italic> (518C&gt;G) CG/GG vs. CC</td>
<td valign="top" align="center">1.18 (0.50 - 2.81)</td>
<td valign="top" align="center">0.719</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>DFS, disease-free survival; HR, hazard ratio; CI, confidence interval; MSD, matched sibling donor; HSCT, hematopoietic stem cell transplantation; MUD, matched unrelated donor UCB, umbilical cord blood; HLA, human leukocyte antigen; BM, bone marrow; PR, partial remission; NR, no remission; CR, complete remission; MNC, mononuclear cells; Peri-ES, peri-engraftment syndrome; aGVHD, acute graft-versus-host disease; cGVHD, chronic GVHD; CMV, cytomegalovirus; EBV, Epstein-Barr virus; HC, hemorrhagic cystitis; CLS, capillary leak syndrome; SNP, single nucleotide polymorphism.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Univariate and multivariate analyses of OS.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Characteristics</th>
<th valign="middle" colspan="2" align="center">Univariate analysis</th>
<th valign="middle" colspan="2" align="center">Multivariate analysis</th>
</tr>
<tr>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" align="center">
<italic>P</italic>-value</th>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" align="center">
<italic>P-</italic>value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Gender, male vs. female</td>
<td valign="middle" align="center">1.15 (0.47 - 2.83)</td>
<td valign="middle" align="center">0.768</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Age, &#x2264; 104 months vs. &gt; 104 months</td>
<td valign="middle" align="center">0.49 (0.21 - 1.10)</td>
<td valign="middle" align="center">0.092</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Weight, &#x2264; 26 kg vs. &gt; 26 kg</td>
<td valign="middle" align="center">0.39 (0.17 - 0.89)</td>
<td valign="middle" align="center">0.032</td>
<td valign="middle" align="center">0.27 (0.10 - 0.70)</td>
<td valign="middle" align="center">0.007</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">ABO match</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Minor mismatched vs. Matched</td>
<td valign="middle" align="center">0.50 (0.19 - 1.32)</td>
<td valign="middle" align="center">0.213</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Major mismatched vs. Matched</td>
<td valign="middle" align="center">0.98 (0.35 - 2.75)</td>
<td valign="middle" align="center">0.974</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Mismatched vs. Matched</td>
<td valign="middle" align="center">0.41 (0.10 - 1.74)</td>
<td valign="middle" align="center">0.378</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Donor type</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;MSD-HSCT vs. Haplo-HSCT</td>
<td valign="middle" align="center">0.73 (0.20 - 2.68)</td>
<td valign="middle" align="center">0.675</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;MUD-HSCT vs. Haplo-HSCT</td>
<td valign="middle" align="center">0.70 (0.24 - 2.07)</td>
<td valign="middle" align="center">0.562</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;UCB-HSCT vs. Haplo-HSCT</td>
<td valign="middle" align="center">0 (0 - 0)</td>
<td valign="middle" align="center">0.089</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">HLA match</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;6/10-8/10 vs. 5/10</td>
<td valign="middle" align="center">0.88 (0.34 - 2.29)</td>
<td valign="middle" align="center">0.802</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;9/10-10/10 vs. 5/10</td>
<td valign="middle" align="center">0.67 (0.25 - 1.85)</td>
<td valign="middle" align="center">0.450</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">BM state before HSCT, CR vs. PR/NR</td>
<td valign="middle" align="center">0.51 (0.11 - 2.51)</td>
<td valign="middle" align="center">0.273</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MNC, &#x2264; 6.83x10<sup>8</sup>/kg vs. &gt; 6.83x10<sup>8</sup>/kg</td>
<td valign="middle" align="center">1.01 (0.44 - 2.28)</td>
<td valign="middle" align="center">0.991</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">CD34+ cell, &#x2264; 6.59x10<sup>6</sup>/kg vs. &gt; 6.59x10<sup>6</sup>/kg</td>
<td valign="middle" align="center">1.35 (0.59 - 3.05)</td>
<td valign="middle" align="center">0.479</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Peri-ES, yes vs. no</td>
<td valign="middle" align="center">1.26 (0.55 - 2.87)</td>
<td valign="middle" align="center">0.586</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">II-IV aGVHD, yes vs. no</td>
<td valign="middle" align="center">0.89 (0.39 - 2.02)</td>
<td valign="middle" align="center">0.782</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">III-IV aGVHD, yes vs. no</td>
<td valign="middle" align="center">1.39 (0.42 - 4.66)</td>
<td valign="middle" align="center">0.547</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">cGVHD, yes vs. no</td>
<td valign="middle" align="center">0.66 (0.29 - 1.50)</td>
<td valign="middle" align="center">0.332</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">CMV, yes vs. no</td>
<td valign="middle" align="center">0.93 (0.41 - 2.13)</td>
<td valign="middle" align="center">0.858</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">EBV, yes vs. no</td>
<td valign="middle" align="center">1.18 (0.52 - 2.67)</td>
<td valign="middle" align="center">0.698</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">HC, yes vs. no</td>
<td valign="middle" align="center">1.71 (0.68 - 4.27)</td>
<td valign="middle" align="center">0.205</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">CLS, yes vs. no</td>
<td valign="middle" align="center">3.52 (1.05 - 11.81)</td>
<td valign="middle" align="center">0.002</td>
<td valign="middle" align="center">3.83 (1.60 - 9.19)</td>
<td valign="middle" align="center">0.003</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">SNP</th>
</tr>
<tr>
<td valign="middle" align="left">
<italic>&#x2003;ABCB1</italic> (1000-44C&gt;T) CT/TT vs. CC</td>
<td valign="middle" align="center">0.98 (0.43 - 2.23)</td>
<td valign="middle" align="center">0.959</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>&#x2003;ABCB1</italic> (1236C&gt;T) CT/TT vs. CC</td>
<td valign="middle" align="center">0.78 (0.20 - 2.96)</td>
<td valign="middle" align="center">0.684</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>ABCB1</italic> (1554 + 24A&gt;G) AG/GG vs. AA</td>
<td valign="middle" align="center">0.98 (0.43 - 2.23)</td>
<td valign="middle" align="center">0.959</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>ABCB1</italic> (1725 + 38C&gt;T) CT/TT vs. CC</td>
<td valign="middle" align="center">0.98 (0.43 - 2.23)</td>
<td valign="middle" align="center">0.959</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>ABCB1</italic> (3435C&gt;T) CT/TT vs. CC</td>
<td valign="middle" align="center">1.08 (0.46 - 2.53)</td>
<td valign="middle" align="center">0.858</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>BMP7</italic> (g.57126159C&gt;T) CT/TT vs. CC</td>
<td valign="middle" align="center">1.10 (0.24 - 4.94)</td>
<td valign="middle" align="center">0.902</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>CYP2C19</italic> (636G&gt;A) GA/AA vs. GG</td>
<td valign="middle" align="center">1.38 (0.35 - 5.40)</td>
<td valign="middle" align="center">0.602</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>CYP2C19</italic> (99T&gt;C) TC/CC vs. TT</td>
<td valign="middle" align="center">0.71 (0.27 - 1.88)</td>
<td valign="middle" align="center">0.533</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>CYP2C8</italic> (1291 + 106T&gt;C) TC/CC vs. TT</td>
<td valign="middle" align="center">0.98 (0.29 - 3.32)</td>
<td valign="middle" align="center">0.971</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>CYP3A5</italic> (219-237C&gt;T) CT/TT vs. CC</td>
<td valign="middle" align="center">1.55 (0.68 - 3.51)</td>
<td valign="middle" align="center">0.297</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>MTHFR</italic> (665C&gt;T) CT/TT vs. CC</td>
<td valign="middle" align="center">0.76 (0.28 - 2.08)</td>
<td valign="middle" align="center">0.570</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>MTRR</italic> (66A&gt;G) AG/GG vs. AA</td>
<td valign="middle" align="center">0.70 (0.30 - 1.62)</td>
<td valign="middle" align="center">0.425</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>SLC29A1</italic> (-162 + 228A&gt;C) AC/CC vs. AA</td>
<td valign="middle" align="center">0.30 (0.07 - 1.39)</td>
<td valign="middle" align="center">0.012</td>
<td valign="middle" align="center">0.22 (0.08 - 0.64)</td>
<td valign="middle" align="center">0.005</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>SLCO1B1</italic> (1865 + 4846T&gt;C) TC/CC vs. TT</td>
<td valign="middle" align="center">1.28 (0.56 - 2.94)</td>
<td valign="middle" align="center">0.571</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>SLCO1B1</italic> (521T&gt;C) TC/CC vs. TT</td>
<td valign="middle" align="center">1.41 (0.47 - 4.24)</td>
<td valign="middle" align="center">0.496</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>UGT1A8</italic> (518C&gt;G) CG/GG vs. CC</td>
<td valign="middle" align="center">0.91 (0.35 - 2.35)</td>
<td valign="middle" align="center">0.836</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OS, overall survival; HR, hazard ratio; CI, confidence interval; MSD, matched sibling donor; HSCT, hematopoietic stem cell transplantation; MUD, matched unrelated donor UCB, umbilical cord blood; HLA, human leukocyte antigen; BM, bone marrow; PR, partial remission; NR, no remission; CR, complete remission; MNC, mononuclear cells; Peri-ES, peri-engraftment syndrome; aGVHD, acute graft-versus-host disease; cGVHD, chronic GVHD; CMV, cytomegalovirus; EBV, Epstein-Barr virus; HC, hemorrhagic cystitis; CLS, capillary leak syndrome; SNP, single nucleotide polymorphism.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Multivariate analyses showed that patients with a body weight &#x2265; 26 kg and CLS after HSCT were independent risk factors for both DFS and OS (DFS, <italic>P</italic> = 0.022, <italic>P</italic> = 0.023; OS, <italic>P</italic> = 0.007, <italic>P</italic> = 0.003, respectively). Additionally, the study revealed that the <italic>SLC29A1</italic> (-162 + 228A&gt;C) AA genotype was an independent risk factor for both DFS and OS (<italic>P</italic> = 0.016, <italic>P</italic> = 0.005, respectively) (<xref ref-type="table" rid="T3">
<bold>Tables&#xa0;3</bold>
</xref>, <xref ref-type="table" rid="T4">
<bold>4</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Various SNPs are associated with changes in the drug metabolism and effects, explaining differences in drug responses among individuals (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). SNPs affecting the metabolism of drugs like CsA, used in GVHD prophylaxis, have been related to post-HSCT complications (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>Our study investigates the correlation between CsA-related SNPs and the transplantation outcomes in 128 patients with malignant hematological diseases patients who underwent HSCT. The incidences of various complications were as follows: grades II-IV aGVHD occurred in 47.7% of cases, grades III-IV aGVHD in 14.1%, cGVHD in 47.7%, CMV infection in 57.8%, EBV infection in 53.1%, HC in 29.7%, and CLS in 16.4%. These complication rates are consistent with previously reported data in the literature (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>The multivariate analysis in this study identifies UCB-HSCT as an independent factor for peri-ES, consistent with previous reports. This observation may due to the critical role played by granulocyte-macrophage colony-stimulating factor, produced by cord blood-derived inflammatory monocytes, in driving the pathology of peri-ES in UCB transplantation (<xref ref-type="bibr" rid="B32">32</xref>). Also, the donor-recipient HLA matches of 9/10-10/10 have been identified as an independent protective factor for peri-ES. Previous studies indicate that mismatched donor-recipient HLA matches in allo-HSCT result in poor transplant outcomes, high incidence and severity of GVHD, slow immune reconstitution, and increased risk of severe infections (<xref ref-type="bibr" rid="B33">33</xref>). Some studies also suggest that peri-ES represents as an early form of aGVHD, both being immune reactions occurring post-transplant, implying a certain correlation between the occurrence of peri-ES and HLA matching (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). We observed a significant decrease in CLS incidence with donor-recipient HLA matches of 9/10-10/10. Research indicates that calcineurin inhibitors, like cyclosporine and tacrolimus, used during transplantation and donor graft implantation, can activate and damage endothelial cells (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). HLA matches of 9/10-10/10 can effectively reduce immunosuppressant use, decrease the GVHD incidence, endothelial cell damage and CLS incidence. Moreover, Peri-ES, CLS, and GVHD are increasingly recognized as complications driven by the release of inflammatory cytokines (<xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>). It is well established that a higher degree of HLA matching results in reduced activation of donor T cells. In the early post-transplant period, donor T cells secrete pro-inflammatory cytokines such as TNF-&#x3b1;, IL-1, and IFN-&#x3b3;, which contribute to tissue inflammation and endothelial activation (<xref ref-type="bibr" rid="B41">41</xref>). HLA mismatch exacerbates this cytokine storm, leading to endothelial injury. Future prospective studies are warranted to investigate the cytokine profiles and immune cell subset dynamics associated with these complications.</p>
<p>Regarding GVHD, the study identifies several independent risk and protective factors. This study is the first to identify independent risk factors for grades II-IV aGVHD at the time of transplantation, including recipient weight &#x2264; 26 kg, major and minor ABO blood type mismatched between donor and recipient, and <italic>CYP2C19</italic> (99T&gt;C) TC/CC genotype. The relationship between recipient weight and GVHD remains controversial. Mehdi Yaseri et&#xa0;al. conducted a meta-analysis examining the relationship between obesity and post-transplant mortality and clinical outcomes in children, finding an increased risk of post-transplant mortality and aGVHD in obese children (<xref ref-type="bibr" rid="B42">42</xref>). Additionally, Lam T Khuat et&#xa0;al. suggested that obesity may increase the risk of aGVHD by affecting the microbiota composition (<xref ref-type="bibr" rid="B43">43</xref>). However, other studies argue that obesity has no impact on aGVHD (<xref ref-type="bibr" rid="B44">44</xref>). Currently, no studies have shown a correlation between low weight and high incidence of aGVHD. However, recipients with lower weight may still face GVHD-related issues, including immune reactions caused by the immunological imbalance between the graft and the host. Lower weights may result in an insufficient immune system to regulate these reactions effectively. Nevertheless, research in this area is relatively scarce, and further in-depth studies are needed to confirm this relationship. This study identified a significant increase in the incidence of grades II-IV aGVHD with major and minor ABO blood type mismatched between donor and recipient, which is identified as an independent risk factor, which aligns with previous research (<xref ref-type="bibr" rid="B45">45</xref>). ABO antigens are expressed on the surfaces of tissues like the gastrointestinal tract, liver, and skin, and they retain their original types due to the newly implanted hematopoietic system. Therefore, donor T lymphocytes will attack the incompatible antigens on tissue surfaces, leading to transplant rejection of corresponding organs. Hence, theoretically, HSCT patients with ABO blood type mismatched have a higher risk of GVHD occurrence. CYP2C19 enzyme is highly polymorphic, and its encoding gene is located on human chromosome 10. <italic>CYP2C19</italic> SNPs cause variations in enzyme activity, which affects the concentration of related drugs in the body, thereby affecting their efficacy and may lead to serious adverse reactions (<xref ref-type="bibr" rid="B46">46</xref>). The <italic>CYP2C19</italic> (99T&gt;C) variants, known as CYP2C19*2, reduce the metabolic rate of drugs, including voriconazole and proton pump inhibitors. Following HSCT, cyclosporine is often co-administered with voriconazole or proton pump inhibitors, which can alter its concentration (<xref ref-type="bibr" rid="B47">47</xref>). Therefore, we speculate that <italic>CYP2C19</italic> (99T&gt;C) variants may influence cyclosporine concentrations through drug interactions, thereby affecting aGVHD, which is an unexpected finding requiring further exploration and validation in subsequent studies.</p>
<p>Recent studies have identified that risk factors for EBV infection in patients after allo-HSCT, including the use of ATG, selective depletion of T cells, HLA mismatched, age &#x2265; 50 years old at the time of transplantation, and secondary transplantation (<xref ref-type="bibr" rid="B48">48</xref>). Since most patients lack fully HLA matched sibling donors, the main obstacles to using such donors for HSCT are graft rejection and GVHD (<xref ref-type="bibr" rid="B49">49</xref>&#x2013;<xref ref-type="bibr" rid="B51">51</xref>). Strengthening pre-transplant conditioning regimens and T-cell depletion transplantation have reduced the incidence of these complications but may lead to slow immune reconstitution and increased rates of various infections. Therefore, we hypothesize that HLA mismatching increases the risk of EBV infection. In this study, we observed a significant reduction in EBV infection rates among recipients with HLA matches of 9/10-10/10. Similar to EBV infection, CMV reactivation is closely associated with the use of immunosuppressants. A previous study indicates that, in kidney transplant patients receiving immunosuppressive regimens with CsA, those with <italic>CYP3A5</italic> (219-237C&gt;T) CC genotype exhibited higher dose-adjusted trough concentrations and dose-adjusted peak concentrations of CsA than those with variant genotypes. Consequently, patients with <italic>CYP3A5</italic> (219-237C&gt;T) CC genotype may experience greater fluctuations in CsA dose adjustment to achieve target concentrations, thereby increasing the risk of CMV infection (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>HC is a common complication of HSCT, with previous studies identifying factors as associated with its occurrence, including type of transplantation, age at transplantation, presence of GVHD, donor source, and the composition and intensity of the pre-transplant conditioning regimen (<xref ref-type="bibr" rid="B52">52</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>). Consistent with prior literature, our study showed that male recipients and older children at the time of transplantation have a significantly higher incidence of HC (<xref ref-type="bibr" rid="B55">55</xref>). This could be attributed to estrogen&#x2019;s protective roles in stabilizing microvasculature and the bladder mucosa, thereby increases the risk of HC in males. Moreover, older children experience higher rates of HC compared to younger children and are more likely to develop severe HC. This may be related to the less mature urinary and central nervous systems in younger children, which lead to more frequent urination, reducing the dwell time of drugs in the bladder and thereby minimizing the irritation and damage to the bladder mucosa by toxic metabolites, ultimately lowering the incidence of HC. Transporters such as the ATP-binding cassette family and the solute carrier family play key roles in drug transport and absorption. Additionally, this study identified wild-type <italic>ABCB1</italic> (1236C&gt;T) and <italic>SLCO1B1</italic> (1865 + 4846T&gt;C) as independent risk factors for developing HC.</p>
<p>Previous studies have found that CsA inhibits various influx and efflux transporters, including <italic>ABCB1</italic> and <italic>SLCO1B1</italic>, thereby increasing the area under the curve of other substrates such as bosentan, carprofen, and methotrexate. The degree of inhibition varies with different transporter polymorphisms, leading to variable increases in substrate concentrations (<xref ref-type="bibr" rid="B56">56</xref>&#x2013;<xref ref-type="bibr" rid="B58">58</xref>). It was demonstrated that the increase in repaglinide concentration was 42% lower in subjects with the <italic>SLCO1B1</italic> (521T&gt;C) variant genotype compared to those with the <italic>SLCO1B1</italic> (521T&gt;C) TT genotype. This observation is due to the reduced function of OATP1B1 in individuals carrying the variant <italic>SLCO1B1</italic> c.521C allele (<xref ref-type="bibr" rid="B59">59</xref>). Therefore, we hypothesize that the wild-type <italic>ABCB1</italic> (1236C&gt;T) and <italic>SLCO1B1</italic> (1865 + 4846T&gt;C) alleles may exhibit higher activity than variant alleles. This could result in CsA significantly increasing the concentrations of other ABCB1 and SLCO1B1 substrates, including immunosuppressants (MTX, tacrolimus), leading to BK virus activation and subsequent HC. On the other hand, HC is influenced by various factors, often associated with high-dose pre-transplant chemotherapy toxicity, genetic polymorphisms in drug-metabolizing enzymes, viral infections, GVHD, patient age, gender, donor type, and transplantation method. Future studies should incorporate additional factors and expand sample sizes for further validation.</p>
<p>Furthermore, the present study identified that the <italic>SLC29A1</italic> (-162 + 228A&gt;C) AC/CC genotype is an independent protective factor for both DFS and OS. SLC29A1 encodes human equilibrative nucleoside transporter 1 (hENT1) (<xref ref-type="bibr" rid="B60">60</xref>). As an equilibrative nucleoside transporter, hENT1 facilitates the influx of approximately 80% of cytarabine (Ara-C) into leukemia cells. A study involving 103 AML patients aged 16 to 76 years revealed that <italic>SLC29A1</italic> variants and haplotypes may influence the Ara-C uptake activity and the complete remission rate (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B61">61</xref>). Wan et&#xa0;al. analyzed 19 <italic>SLC29A1</italic> SNPs in AML patients and found patients with low <italic>SLC29A1</italic> gene expression had shorter DFS and OS during Ara-C treatment. Moreover, significant differences were observed in the expression of the rs9394992 and rs324148 genotypes of <italic>SLC29A1</italic> gene between remission and relapse phases (<xref ref-type="bibr" rid="B62">62</xref>). The <italic>SLC29A1</italic> (-162 + 228A&gt;C) variant, also known as rs693955, has been reported to be associated with a shorter duration of neutropenia following chemotherapy (<xref ref-type="bibr" rid="B63">63</xref>). However, no studies have yet demonstrated the relationship between this locus and prognosis. We hypothesize that the <italic>SLC29A1</italic> (-162 + 228A&gt;C) variants may influence DFS and OS by affecting the hENT1 protein, thereby interfering with the absorption of cytarabine. In the future, we may verify this hypothesis by measuring plasma cytarabine levels using high-performance liquid chromatography.</p>
<p>However, our study has several limitations. First, the sample size is relatively small. Second, potential confounding factors, such as donor source variability, prior treatments, and differences in post-transplant care, could not be fully accounted for. Third, due to the retrospective nature of the study, external validation in independent cohorts and functional experimental confirmation are currently lacking. To address these issues, we will conduct a prospective, multicenter study with expanded sample size to validate our findings, construct clinically applicable predictive models, and establish mouse models of bone marrow transplantation harboring specific SNPs to investigate the pharmacokinetics and pharmacodynamics of CsA in the future.</p>
<p>In conclusion, our study has revealed correlations between CsA-related transporters and metabolic enzymes SNPs and post-transplant complications and prognosis, contributing to a better understanding of the interindividual difference in drug efficacy. Future studies on adjusting the dosage of drugs based on SNPs in clinical practice may be one of the options for improving the HSCT outcomes.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <uri xlink:href="https://db.cngb.org">https://db.cngb.org</uri>, CNP0004415, CNP0005143, CNP0007618.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Children&#x2019;s Hospital of Soochow University 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.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>QJ: Data curation, Writing &#x2013; original draft, Investigation, Formal analysis, Conceptualization, Writing &#x2013; review &amp; editing, Methodology. SZ: Methodology, Writing &#x2013; original draft, Data curation, Formal analysis. ML: Writing &#x2013; original draft, Data curation, Formal analysis, Methodology. WZ: Data curation, Writing &#x2013; original draft, Formal analysis, Methodology. LL: Formal analysis, Writing &#x2013; original draft, Data curation, Methodology. YC: Methodology, Formal analysis, Writing &#x2013; original draft, Data curation. LG: Data curation, Methodology, Funding acquisition, Writing &#x2013; original draft. BL: Writing &#x2013; original draft, Funding acquisition, Methodology, Data curation. ZD: Methodology, Writing &#x2013; original draft, Data curation. YH: Writing &#x2013; original draft, Funding acquisition, Data curation, Methodology. PX: Methodology, Writing &#x2013; original draft, Data curation. JLing: Writing &#x2013; original draft, Methodology, Data curation. LF: Writing &#x2013; original draft, Data curation, Methodology. XB: Writing &#x2013; original draft, Methodology, Data curation. HC: Writing &#x2013; original draft, Methodology, Data curation. JLi: Data curation, Methodology, Writing &#x2013; original draft. JLu: Data curation, Writing &#x2013; original draft, Methodology. YZ: Writing &#x2013; review &amp; editing, Conceptualization, Funding acquisition, Validation. SW: Writing &#x2013; review &amp; editing, Conceptualization, Validation, Funding acquisition. JQ: Validation, Conceptualization, Writing &#x2013; original draft, Supervision, Writing &#x2013; review &amp; editing. SH: Writing &#x2013; review &amp; editing, Funding acquisition, Validation, Conceptualization, Writing &#x2013; original draft, Supervision. YL: Supervision, Writing &#x2013; review &amp; editing, Conceptualization, Funding acquisition, Validation, Writing &#x2013; original draft.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by following grants: National Key R&amp;D Program of China (2022YFC2502700), the National Natural Science Foundation of China (No. 82470221, 82170218, 82100229, 82200177, 82300244, 82470127, 82300182, 82470160, 82400264), Jiangsu Natural Science Foundation (No. BK20240373), Gusu Innovation and Entrepreneurship Leading Talent Program (ZXL2024387), Suzhou project (No. DZXYJ202305, SZS201615, SKY2022012 and SZS2023014), Soochow Medical School project (ML13101223) and Children&#x2019;s Hospital of Soochow University grant (2023SYLCYJ01).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We also thank all the patients who participated in this study.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Authors LL, HC, and JQ are employed by the company Acornmed Biotechnology Co., Ltd.</p>
<p>The remaining 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 id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<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>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2025.1615976/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1615976/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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<title>References</title>
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