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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.2023.1229266</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>The influence of methotrexate-related transporter and metabolizing enzyme gene polymorphisms on peri-engraftment syndrome and graft-versus-host disease after haplo-hematopoietic stem cell transplantation in pediatric patients with malignant hematological diseases</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<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>
<uri xlink:href="https://loop.frontiersin.org/people/2325242"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yongping</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/1611202"/>
</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="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1638046"/>
</contrib>
<contrib contrib-type="author">
<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"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cao</surname>
<given-names>Shanbo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</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>
<uri xlink:href="https://loop.frontiersin.org/people/1183549"/>
</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>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tian</surname>
<given-names>Yuanyuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/675732"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kong</surname>
<given-names>Lingjun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Shuiyan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</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>
</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"/>
</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>
<uri xlink:href="https://loop.frontiersin.org/people/2246570"/>
</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"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yao</surname>
<given-names>Yanhua</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</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"/>
</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="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/575938"/>
</contrib>
</contrib-group>
<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>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Medical Affairs, Acornmed Biotechnology Co., Ltd.</institution>, <addr-line>Tianjin</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Pediatric Intensive Care Unit, Children&#x2019;s Hospital of Soochow University</institution>, <addr-line>Suzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Ying-Jun Chang, Peking University People&#x2019;s Hospital, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Ting Yang, Fujian Medical University, China; Nargess Arandi, Shiraz University of Medical Sciences, Iran</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Shaoyan Hu, <email xlink:href="mailto:hushaoyan@suda.edu.cn">hushaoyan@suda.edu.cn</email>; Jiayue Qin, <email xlink:href="mailto:jyqin@live.cn">jyqin@live.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>05</day>
<month>09</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1229266</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>08</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Ji, Zhang, Hu, Liu, Cao, Gao, Li, Tian, Kong, Wu, Ling, Xiao, Lu, Li, Yao, Qin and Hu</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Ji, Zhang, Hu, Liu, Cao, Gao, Li, Tian, Kong, Wu, Ling, Xiao, Lu, Li, Yao, Qin and Hu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Methotrexate (MTX), utilized as a graft-versus-host disease (GvHD) prophylactic agent in allogeneic hematopoietic stem cell transplantation (allo-HSCT), has been proven to effectively decrease the occurrence of the peri-engraftment syndrome (Peri-ES) and acute GvHD (aGvHD). Changes in the pharmacodynamics of MTX are closely associated with gene polymorphisms in genes encoding drug-metabolizing enzymes and transporters. Nevertheless, the current studies mainly concentrate on leukemia or autoimmune diseases, and limited studies on allo-HSCT were reported.</p>
</sec>
<sec>
<title>Methods</title>
<p>Here, we retrospectively assessed the relationship between MTX-related transporter and metabolizing enzyme gene polymorphisms, clinical  characteristics, and outcomes in 57 pediatric patients who received haploid HSCT (haplo-HSCT) with malignant tumors at a single center.</p>
</sec>
<sec>
<title>Results</title>
<p>We discovered all gene polymorphisms were in the Hardy&#x2013;Weinberg equilibrium in our cohort. We discovered a significant correlation between platelet recovery time and <italic>ABCB1</italic> (1236C&gt;T) (<italic>p</italic> = 0.042). Compared with patients with <italic>SLCO1B1</italic> (1865+4846T&gt;C) TT, patients with <italic>SLCO1B1</italic> (1865+4846T&gt;C) TC/CC had an increased incidence of Peri-ES (<italic>p</italic> = 0.030). Based on the multivariate Cox analysis, we discovered that <italic>SLCO1B1</italic> (1865+4846T&gt;C) TT genotype was an independent protective factor for Peri-ES morbidity (hazard ratio (HR) = 0.464, <italic>p</italic> = 0.031), and the dose of mononuclear cells reinfused was significantly correlated with II&#x2013;IV aGvHD (HR = 2.604, <italic>p</italic> = 0.039).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>In summary, our findings prove that the host&#x2019;s genotypes might modify the risk of developing Peri-ES, contribute to a better understanding of the inter-individual difference in efficacy, and facilitate the development of individualized approaches to GvHD prophylaxis.</p>
</sec>
</abstract>
<kwd-group>
<kwd>MTX</kwd>
<kwd>Peri-ES</kwd>
<kwd>GvHD</kwd>
<kwd>
<italic>SLCO1B1</italic>
</kwd>
<kwd>gene polymorphism</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="29"/>
<page-count count="9"/>
<word-count count="4033"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Alloimmunity and Transplantation</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) is an effective method to treat hematological malignancies. However, patients still face various complications after transplantation, including peri-engraftment syndrome (Peri-ES), graft-versus-host disease (GvHD), and infection, which adversely affect the survival and prognosis of patients (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). Methotrexate (MTX) is one of the main drugs used to prevent GvHD after HSCT, which effectively reduces the incidence of Peri-ES and acute GvHD (aGvHD) (<xref ref-type="bibr" rid="B4">4</xref>). However, MTX may also cause various adverse reactions, including severe mucositis, bone marrow suppression, hepatotoxicity, etc. (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Changes in the pharmacodynamics of MTX are closely associated with gene polymorphisms in genes encoding drug-metabolizing enzymes and transporters, as demonstrated by the therapy of acute lymphocytic leukemia with high-dose MTX (HD-MTX), which were rarely reported in populations undergoing allo-HSCT. Limited reports had focused on the association between gene polymorphisms and Peri-ES.</p>
<p>This study aims to verify the effects of MTX-related transporter and metabolizing enzyme gene polymorphisms on Peri-ES and aGvHD after haploid HSCT (haplo-HSCT) in children.</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 design and subjects</title>
<p>This retrospective longitudinal cohort study was conducted in a single center at the Children&#x2019;s Hospital of Soochow University (Suzhou, China). Patients who received allo-HSCT were enrolled between January 1, 2019, and June 30, 2021. The study inclusion criteria consisted of 1) first-time transplant, 2) haplo-HSCT, 3) patients aged less than 18 years, 4) three or four intravenous doses of MTX (three doses: day 1 at 15 mg/m<sup>2</sup> and days 3 and 6 at 10 mg/m<sup>2</sup>; four doses: day 1 at 15 mg/m<sup>2</sup> and days 3, 6, and 11 at 10 mg/m<sup>2</sup>) and cyclosporine A or tacrolimus (po q12h starting on the day 5 before transplantation) for GvHD prophylaxis, and 5) presence of informed consent to methotrexate genotyping. Patients who had undergone a second or subsequent transplantation or received GvHD prophylaxis without MTX were excluded from the study. All available follow-up data until December 31, 2022, were analyzed.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Endpoint definitions</title>
<p>Neutrophil engraftment was defined as a neutrophil count &gt;0.5 &#xd7; 10<sup>9</sup>/L for three consecutive days. Platelet engraftment was defined as a platelet count exceeding 20 &#xd7; 10<sup>9</sup>/L for seven consecutive days without transfusion. Primary graft failure (GF) was defined as the failure of neutrophil engraftment at day +28 after HSCT, while secondary GF was defined as the development of neutrophil count&#x2009;&lt;0.5 &#xd7; 10<sup>9</sup>/L occurring after the initial engraftment. Peri-ES was defined according to the previously described criteria (<xref ref-type="bibr" rid="B6">6</xref>). Moreover, diagnosis and grading of aGvHD were performed based on the standard criteria (<xref ref-type="bibr" rid="B7">7</xref>). Patients who survived &gt;30 days post-HSCT with successful engraftment were evaluated for aGvHD analysis.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>DNA extraction and genotyping</title>
<p>Genomic DNA was isolated from bone marrow at diagnosis. A targeted 27-gene sequencing panel was used for next-generation sequencing (NGS) at Acornmed Biotechnology Co., Ltd (Tianjin, China). Multiplex libraries were sequenced with the NovaSeq instrument (Illumina). The following criteria were performed to filter raw variants: average sequencing depth on target per sample &#x2265;1,000&#xd7;, mapping quality &#x2265;30, and base quality &#x2265;30. Alignment of the trimmed reads was performed with the Burrows&#x2013;Wheeler alignment (BWA; version 0.7.12). PCR duplicates were marked with the MarkDuplicates tool from Picard. BaseRecalibrator from Genome Analysis Toolkit (GATK; version 3.8) was used to realign and recalibrate the BWA data. Variant calling was used in Mutect2. ANNOVAR software was performed to annotate all the variants, including dbSNP. The MTX-related transporter and metabolizing enzyme gene polymorphisms include <italic>SLCO1B1</italic> (1865+4846T&gt;C), <italic>SLCO1B1</italic> (521T&gt;C), <italic>MTRR</italic> (66A&gt;G), <italic>MTHFR</italic> (665C&gt;T), <italic>ABCB1</italic> (1236C&gt;T), <italic>ABCB1</italic> (3435C&gt;T), <italic>ABCB1</italic> (1000-44C&gt;T), <italic>ABCB1</italic> (1554&#xa0;+&#xa0;24A&gt;G), and <italic>ABCB1</italic> (1725&#xa0;+&#xa0;38C&gt;T).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analysis</title>
<p>This primary purpose of interest was the development of Peri-ES and aGvHD after haplo-HSCT with different MTX-related transporter and metabolizing enzyme gene polymorphism status. The <italic>t</italic>-test and Mann&#x2013;Whitney U test were routinely used for the comparison of the quantitative variables between two groups with parametric and non-parametric distribution, respectively. Categorized variables were compared using chi-square or Fisher&#x2019;s exact test. Event time distributions for the clinical outcomes were estimated using a cumulative incidence curve with a log-rank test. Univariate and multivariate analyses were used to compare the relative risk by Cox regression. Variables were selected by univariate Cox regression analysis, and those with <italic>p</italic> &lt; 0.2 were subsequently enrolled in multivariate Cox regression analysis based on the likelihood ratio test. All data were analyzed using SPSS software (version 22.0) or R (version 3.5.2). <italic>p</italic> &lt; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Demographic data and transplant-associated patient data</title>
<p>The baseline characteristics of 57 Chinese pediatric patients are described in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. All 57 patients were treated with the myeloablative conditioning regimen based on busulfan (Bu) and cyclophosphamide (Cy) and received at least three doses of MTX as GvHD prophylaxis. The mean age at HSCT was 5.1 years, and more men (80.8%) were enrolled in our cohort. Acute leukemias, including mixed-phenotype acute leukemia (MAPL), was the most common etiology, which constituted 94.7% (54/57) of the cohort. All patients achieved hematopoietic recovery from haploidentical donors. The median time to neutrophil and platelet engraftment was 12 days (range, 10&#x2013;23) and 12 days (range, 5&#x2013;39), respectively.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="left">Demographic information</th>
<th valign="bottom" align="center">Patient cohort (n = 57)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">Male, n (%)</td>
<td valign="bottom" align="left">46 (80.8%)</td>
</tr>
<tr>
<td valign="bottom" align="left">Age, median (range) months</td>
<td valign="bottom" align="left">61.267 (1.0, 195.6)</td>
</tr>
<tr>
<td valign="bottom" align="left">Weight, median (range) kg</td>
<td valign="bottom" align="left">28.7 (9.3, 96.5)</td>
</tr>
<tr>
<th valign="bottom" colspan="2" align="left">Diagnosis, n (%)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;AML</td>
<td valign="bottom" align="left">22 (39.2%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;ALL</td>
<td valign="bottom" align="left">30 (52.6%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;MPAL</td>
<td valign="bottom" align="left">2 (3.6%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;JMML</td>
<td valign="bottom" align="left">1 (1.8%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;CML</td>
<td valign="bottom" align="left">1 (1.8%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;T-LBL</td>
<td valign="bottom" align="left">1 (1.8%)</td>
</tr>
<tr>
<th valign="bottom" colspan="2" align="left">BM state before transplantation, n (%)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;CR1</td>
<td valign="bottom" align="left">36 (63.2%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;CR2</td>
<td valign="bottom" align="left">17 (29.8%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;PR/NR</td>
<td valign="bottom" align="left">4 (7.0%)</td>
</tr>
<tr>
<th valign="bottom" colspan="2" align="left">GvHD prophylaxis, n (%)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;MTX + CsA + others</td>
<td valign="bottom" align="left">47 (82.4%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;MTX + FK506 + others</td>
<td valign="bottom" align="left">10 (17.6%)</td>
</tr>
<tr>
<th valign="bottom" colspan="2" align="left">Transplantation, n (%)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;BM + PB + CB</td>
<td valign="bottom" align="left">29 (50.8%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;PB</td>
<td valign="bottom" align="left">12 (21.0%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;BM + PB</td>
<td valign="bottom" align="left">14 (24.6%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;BM + CB</td>
<td valign="bottom" align="left">1 (1.8%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;PB + CB</td>
<td valign="bottom" align="left">1 (1.8%)</td>
</tr>
<tr>
<th valign="bottom" colspan="2" align="left">Haplo HLA match, n (%)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;5/10</td>
<td valign="bottom" align="left">34 (59.6%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;6/10&#x2013;8/10</td>
<td valign="bottom" align="left">19 (33.4%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;9/10&#x2013;10/10</td>
<td valign="bottom" align="left">4 (7.0%)</td>
</tr>
<tr>
<td valign="bottom" align="left">MNC, median (range) &#xd7;10<sup>8</sup>/kg</td>
<td valign="bottom" align="left">6.99 (1.56, 21.71)</td>
</tr>
<tr>
<td valign="bottom" align="left">CD34 cell, median (range) &#xd7;10<sup>6</sup>/kg</td>
<td valign="bottom" align="left">7.17 (1.06, 22.4)</td>
</tr>
<tr>
<td valign="bottom" align="left">Neutrophil recovery day, median (range) day</td>
<td valign="bottom" align="left">12 (10, 23)</td>
</tr>
<tr>
<td valign="bottom" align="left">Platelet recovery day, median (range) day</td>
<td valign="bottom" align="left">12 (5, 39)</td>
</tr>
<tr>
<th valign="bottom" colspan="2" align="left">Donor&#x2013;patient sex match, n (%)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Female&#x2013;male</td>
<td valign="bottom" align="left">7 (12.2%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Male&#x2013;male</td>
<td valign="bottom" align="left">39 (68.4%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Female&#x2013;female</td>
<td valign="bottom" align="left">4 (7.0%)</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Male&#x2013;male</td>
<td valign="bottom" align="left">7 (12.2%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AML, acute myeloid leukemia; ALL, acute lymphoblastic leukemia; MAPL, mixed-phenotype acute leukemia; JMML, juvenile myelomonocytic leukemia; CML, chronic myeloid leukemia; T-LBL, T-cell lymphoblastic lymphoma; BM, bone marrow; CR, complete remission; PR, partial remission; NR, no remission; GvHD, graft-versus-host disease; MTX, methotrexate; CsA, cyclosporine A; FK506, tacrolimus; PB, peripheral blood; CB, cord blood; MNC, mononuclear cells.</p>
</fn>
<fn>
<p>CR1 means that after chemotherapy and other treatments, the BM has achieved CR for the first time; CR2 means that after achieving CR for the first time, the patient experiences relapse and achieves CR again through further treatments.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>MTX-related transporter and metabolizing enzyme gene polymorphism frequencies</title>
<p>MTX-related transporter and metabolizing enzyme gene polymorphism frequencies for the patients are shown in <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>.&#xa0;A total of nine kinds of gene polymorphisms were detected, and the most common variant type was <italic>ABCB1</italic> (1236C&gt;T), followed by <italic>MTHFR</italic> (665C&gt;T) and <italic>ABCB1</italic> (3435C&gt;T) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). All MTX-related transporter and metabolizing enzyme gene polymorphisms were discovered to be in the Hardy&#x2013;Weinberg equilibrium in our cohort (all <italic>p</italic> &gt; 0.05, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). In addition, <italic>ABCB1</italic> (1236C&gt;T) was found to be related to platelet recovery day (<italic>p</italic> = 0.042, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>MTX-related transporter and metabolizing enzyme gene polymorphisms detected in our cohort. Heatmap shows the specific variants in each patient based on different genotypes, according to different subtypes of malignant hematological diseases. MTX, methotrexate; ALL, acute lymphoblastic leukemia; AML, acute myeloid leukemia; CML, chronic myeloid leukemia; JMML, juvenile myelomonocytic leukemia; MPAL, mixed-phenotype acute leukemia; T-LBL, T-cell lymphoblastic lymphoma.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1229266-g001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>MTX-related transporter and metabolizing enzyme gene polymorphism frequencies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Gene</th>
<th valign="middle" align="center">SNP</th>
<th valign="middle" align="center">Genotype</th>
<th valign="middle" align="center">Patient, n (%)</th>
<th valign="top" align="center">Theoretical frequency, n</th>
<th valign="top" align="center">
<italic>p</italic>-Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="6" align="left">
<italic>SLCO1B1</italic>
</td>
<td valign="middle" rowspan="3" align="left">
<italic>SLCO1B1</italic> (1865+4846T&gt;C), rs11045879</td>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">28 (49.1%)</td>
<td valign="bottom" align="left">28.070</td>
<td valign="top" rowspan="3" align="left">0.965</td>
</tr>
<tr>
<td valign="middle" align="left">TC</td>
<td valign="middle" align="left">24 (42.1%)</td>
<td valign="bottom" align="left">23.860</td>
</tr>
<tr>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">5 (8.8%)</td>
<td valign="bottom" align="left">5.070</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<italic>SLCO1B1</italic> (521T&gt;C), rs4149056</td>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">46 (80.7%)</td>
<td valign="middle" align="left">45.632</td>
<td valign="top" rowspan="3" align="left">0.604</td>
</tr>
<tr>
<td valign="middle" align="left">TC</td>
<td valign="middle" align="left">10 (17.5%)</td>
<td valign="middle" align="left">10.737</td>
</tr>
<tr>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">1 (1.8%)</td>
<td valign="middle" align="left">0.632</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<italic>MTRR</italic>
</td>
<td valign="middle" rowspan="3" align="left">
<italic>MTRR</italic> (66A&gt;G), rs1801394</td>
<td valign="middle" align="left">AA</td>
<td valign="middle" align="left">33 (57.9%)</td>
<td valign="middle" align="left">33.965</td>
<td valign="top" rowspan="3" align="left">0.469</td>
</tr>
<tr>
<td valign="middle" align="left">AG</td>
<td valign="middle" align="left">22 (38.6%)</td>
<td valign="middle" align="left">20.070</td>
</tr>
<tr>
<td valign="middle" align="left">GG</td>
<td valign="middle" align="left">2 (3.5%)</td>
<td valign="middle" align="left">2.965</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<italic>MTHFR</italic>
</td>
<td valign="middle" rowspan="3" align="left">
<italic>MTHFR</italic> (665C&gt;T), rs1801133</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">17 (29.8%)</td>
<td valign="middle" align="left">15.789</td>
<td valign="top" rowspan="3" align="left">0.520</td>
</tr>
<tr>
<td valign="middle" align="left">TC</td>
<td valign="middle" align="left">26 (45.6%)</td>
<td valign="middle" align="left">28.421</td>
</tr>
<tr>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">14 (24.6%)</td>
<td valign="middle" align="left">12.789</td>
</tr>
<tr>
<td valign="middle" rowspan="15" align="left">
<italic>ABCB1</italic>
</td>
<td valign="middle" rowspan="3" align="left">
<italic>ABCB1</italic> (1236C&gt;T), rs1128503</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">9 (15.7%)</td>
<td valign="middle" align="left">7.373</td>
<td valign="top" rowspan="3" align="left">0.349</td>
</tr>
<tr>
<td valign="middle" align="left">TC</td>
<td valign="middle" align="left">23 (40.4%)</td>
<td valign="middle" align="left">26.254</td>
</tr>
<tr>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">25 (43.9%)</td>
<td valign="middle" align="left">23.373</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<italic>ABCB1</italic> (3435C&gt;T), rs1045642</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">23 (40.4%)</td>
<td valign="middle" align="left">21.491</td>
<td valign="top" rowspan="3" align="left">0.399</td>
</tr>
<tr>
<td valign="middle" align="left">TC</td>
<td valign="middle" align="left">24 (42.1%)</td>
<td valign="middle" align="left">27.018</td>
</tr>
<tr>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">10 (17.5%)</td>
<td valign="middle" align="left">8.491</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<italic>ABCB1</italic> (1000-44C&gt;T), rs10276036</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">25 (43.9%)</td>
<td valign="middle" align="left">23.373</td>
<td valign="top" rowspan="3" align="left">0.349</td>
</tr>
<tr>
<td valign="middle" align="left">TC</td>
<td valign="middle" align="left">23 (40.3%)</td>
<td valign="middle" align="left">26.254</td>
</tr>
<tr>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">9 (15.7%)</td>
<td valign="middle" align="left">7.373</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<italic>ABCB1</italic> (1554+24A&gt;G), rs2235033</td>
<td valign="middle" align="left">AA</td>
<td valign="middle" align="left">25 (43.9%)</td>
<td valign="middle" align="left">22.110</td>
<td valign="top" rowspan="3" align="left">0.103</td>
</tr>
<tr>
<td valign="middle" align="left">AG</td>
<td valign="middle" align="left">21 (36.8%)</td>
<td valign="middle" align="left">26.781</td>
</tr>
<tr>
<td valign="middle" align="left">GG</td>
<td valign="middle" align="left">11 (19.3%)</td>
<td valign="middle" align="left">8.110</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<italic>ABCB1</italic> (1725+38C&gt;T), rs2235013</td>
<td valign="middle" align="left">CC</td>
<td valign="middle" align="left">25 (43.9%)</td>
<td valign="middle" align="left">22.110</td>
<td valign="top" rowspan="3" align="left">0.103</td>
</tr>
<tr>
<td valign="middle" align="left">TC</td>
<td valign="middle" align="left">21 (36.8%)</td>
<td valign="middle" align="left">26.781</td>
</tr>
<tr>
<td valign="middle" align="left">TT</td>
<td valign="middle" align="left">11 (19.3%)</td>
<td valign="middle" align="left">8.110</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MTX, methotrexate; SNP, single-nucleotide polymorphism.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Frequency and time to onset of Peri-ES</title>
<p>In this study, 61.4% of patients (35/57) developed Peri-ES; 94% of patients (33/35) with Peri-ES received methylprednisolone therapy and improved. There was an increased morbidity rate of Peri-ES in the patients with <italic>SLCO1B1</italic> (1865+4846T&gt;C) TC/CC (<italic>p</italic> = 0.030, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Based on multivariate analysis, <italic>SLCO1B1</italic> (1865+4846T&gt;C) TT genotype (hazard ratio (HR) = 0.464, <italic>p</italic> = 0.031) was an independent protective factor for Peri-ES morbidity. However, no association was found between other gene polymorphisms with Peri-ES, such as <italic>ABCB1</italic>, <italic>MTHFR</italic>, and <italic>MTRR</italic> polymorphisms (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Effects of <italic>SLCO1B1</italic> (1865+4846T&gt;C) gene polymorphisms and MNC doses on the morbidity of Peri-ES <bold>(A)</bold> and II&#x2013;IV aGvHD <bold>(B)</bold>, respectively. Peri-ES, Peri-engraftment syndrome; aGvHD, acute graft-versus-host disease; MNC, mononuclear cells.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1229266-g002.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Univariate and multivariate Cox regression analyses of Peri-ES.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">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">Female <italic>vs.</italic> male</td>
<td valign="bottom" align="left">0.559 (0.254&#x2013;1.228)</td>
<td valign="bottom" align="left">0.189</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Age, &#x2264;5 years <italic>vs.</italic> &gt;5 years</td>
<td valign="bottom" align="left">1.504 (0.543&#x2013;2.045)</td>
<td valign="bottom" align="left">0.886</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Using TBI, yes <italic>vs.</italic> no</td>
<td valign="bottom" align="left">0.441 (0.159&#x2013;1.217)</td>
<td valign="bottom" align="left">0.213</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">GvHD prophylaxis, FK506 + MTX + others <italic>vs.</italic> CsA + MTX + others</td>
<td valign="middle" align="left">0.733 (0.313&#x2013;1.720)</td>
<td valign="middle" align="left">0.489</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Using CB, no <italic>vs.</italic> yes</td>
<td valign="bottom" align="left">0.812 (0.417&#x2013;1.580)</td>
<td valign="bottom" align="left">0.515</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">HLA</th>
</tr>
<tr>
<td valign="middle" align="left">6/10-8/10 <italic>vs.</italic> 5/10</td>
<td valign="bottom" align="left">0.523 (0.266&#x2013;1.029)</td>
<td valign="bottom" align="left">0.062</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">9/10-10/10 <italic>vs.</italic> 5/10</td>
<td valign="bottom" align="left">0.000 (0.000&#x2013;Inf)</td>
<td valign="bottom" align="left">0.014</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">MNC, high <italic>vs.</italic> low dose</td>
<td valign="bottom" align="left">1.271 (0.653&#x2013;2.471)</td>
<td valign="bottom" align="left">0.446</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">CD34+ cell, high <italic>vs.</italic> low dose</td>
<td valign="bottom" align="left">1.148 (0.591&#x2013;2.228)</td>
<td valign="bottom" align="left">0.661</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>SLCO1B1</italic> (1865+4846T&gt;C), TT <italic>vs.</italic> TC/CC</td>
<td valign="bottom" align="left">0.503 (0.259&#x2013;0.978)</td>
<td valign="bottom" align="left">0.030</td>
<td valign="bottom" align="left">0.464 (0.231&#x2013;0.931)</td>
<td valign="bottom" align="left">0.031</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>SLCO1B1</italic> (521T&gt;C), TT <italic>vs.</italic> TC/CC</td>
<td valign="bottom" align="left">0.683 (0.282&#x2013;1.656)</td>
<td valign="bottom" align="left">0.305</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>MTRR</italic> (66A&gt;G), AA <italic>vs.</italic> AG/GG</td>
<td valign="bottom" align="left">0.876 (0.445&#x2013;1.724)</td>
<td valign="bottom" align="left">0.677</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>MTHFR</italic> (665C&gt;T), CC <italic>vs.</italic> TC/TT</td>
<td valign="bottom" align="left">0.726 (0.358&#x2013;1.475)</td>
<td valign="bottom" align="left">0.373</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>ABCB1</italic> (1236C&gt;T), CC <italic>vs.</italic> TC/TT</td>
<td valign="bottom" align="left">0.841 (0.345&#x2013;2.051)</td>
<td valign="bottom" align="left">0.699</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>ABCB1</italic> (3435C&gt;T), CC <italic>vs.</italic> TC/TT</td>
<td valign="bottom" align="left">0.956 (0.485&#x2013;1.887)</td>
<td valign="bottom" align="left">0.890</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>ABCB1</italic> (1000-44C&gt;T), CC <italic>vs.</italic> TC/TT</td>
<td valign="bottom" align="left">1.136 (0.581&#x2013;2.219)</td>
<td valign="bottom" align="left">0.687</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>ABCB1</italic> (1554+24A&gt;G), AA <italic>vs.</italic> AG/GG</td>
<td valign="bottom" align="left">1.136 (0.581&#x2013;2.219)</td>
<td valign="bottom" align="left">0.687</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>ABCB1</italic> (1725+38C&gt;T), CC <italic>vs.</italic> TC/TT</td>
<td valign="bottom" align="left">1.136 (0.581&#x2013;2.219)</td>
<td valign="bottom" align="left">0.687</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">Donor gender, male <italic>vs.</italic> female</td>
<td valign="bottom" align="left">1.485 (0.647&#x2013;3.408)</td>
<td valign="bottom" align="left">0.377</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Peri-ES, peri-engraftment syndrome; HR, hazard ratio; TBI, total body irradiation; GvHD, graft-versus-host disease; MTX, methotrexate; CsA, cyclosporine A; FK506, tacrolimus; CB, cord blood; MNC, mononuclear cells.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Morbidity, site, and grade of aGvHD after haplo-HSCT</title>
<p>In the study, 36.8% of patients (21/57) developed grade II&#x2013;IV aGvHD, including eight (14.0%) with grade II, eight (19.3%) with grade III, and five (8.8%) with grade IV. With respect to organ severity stage, 20 patients developed stage 2&#x2013;4 cutaneous aGvHD, and eight patients developed stage 2&#x2013;4 GI aGvHD. Only one child developed stage 4 liver aGvHD. Compared with mononuclear cell (MNC) low dose according to the median dose value in our cohort, patients with MNC high dose had an increased incidence of II&#x2013;IV aGvHD (<italic>p</italic> = 0.030, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Also, we conducted univariate and multivariate Cox regression analyses for II&#x2013;IV aGvHD and III&#x2013;IV aGvHD. Our findings suggested that <italic>SLCO1B1</italic> (521T&gt;C) genotype tended to be associated with II&#x2013;IV aGvHD in univariate analysis (<italic>p</italic> = 0.175), and only the dose of MNC reinfused was significantly related to II&#x2013;IV aGvHD as an independent risk factor in multivariate analysis (HR = 2.604, <italic>p</italic> = 0.039, <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Unfortunately, no significant association between III&#x2013;IV aGvHD after haplo-HSCT and MTX-related gene polymorphisms was discovered (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Univariate and multivariate Cox regression analyses of the morbidity of II&#x2013;IV aGvHD.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">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">Female <italic>vs.</italic> male</td>
<td valign="bottom" align="left">1.027 (0.342&#x2013;3.080)</td>
<td valign="bottom" align="left">0.961</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Age, &#x2264;5 years <italic>vs.</italic> &gt;5 years</td>
<td valign="bottom" align="left">0.783 (0.332&#x2013;1.847)</td>
<td valign="bottom" align="left">0.569</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Using TBI, yes <italic>vs.</italic> no</td>
<td valign="bottom" align="left">1.360 (0.345&#x2013;5.358)</td>
<td valign="bottom" align="left">0.616</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">GvHD prophylaxis, FK506 + MTX + others <italic>vs.</italic> CsA + MTX + others</td>
<td valign="middle" align="left">0.419 (0.144&#x2013;1.217)</td>
<td valign="middle" align="left">0.221</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Using CB, no <italic>vs.</italic> yes</td>
<td valign="bottom" align="left">0.565 (0.240&#x2013;1.331)</td>
<td valign="bottom" align="left">0.205</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">HLA</th>
</tr>
<tr>
<td valign="middle" align="left">6/10&#x2013;8/10 <italic>vs.</italic> 5/10</td>
<td valign="bottom" align="left">0.870 (0.358&#x2013;2.115)</td>
<td valign="bottom" align="left">0.760</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">9/10&#x2013;10/10 <italic>vs.</italic> 5/10</td>
<td valign="bottom" align="left">0.000 (0.000&#x2013;Inf)</td>
<td valign="bottom" align="left">0.146</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">MNC, high <italic>vs.</italic> low dose</td>
<td valign="bottom" align="left">2.594 (1.095&#x2013;6.146)</td>
<td valign="bottom" align="left">0.030</td>
<td valign="bottom" align="left">2.604 (1.049&#x2013;6.463)</td>
<td valign="bottom" align="left">0.039</td>
</tr>
<tr>
<td valign="middle" align="left">CD34+ cell, high <italic>vs.</italic> low dose</td>
<td valign="bottom" align="left">1.157 (0.492&#x2013;2.723)</td>
<td valign="bottom" align="left">0.735</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>SLCO1B1</italic> (1865+4846T&gt;C), TT <italic>vs.</italic> TC/CC</td>
<td valign="bottom" align="left">1.149 (0.489&#x2013;2.704)</td>
<td valign="bottom" align="left">0.747</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>SLCO1B1</italic> (521T&gt;C), TT <italic>vs.</italic> TC/CC</td>
<td valign="bottom" align="left">0.529 (0.172&#x2013;1.633)</td>
<td valign="bottom" align="left">0.175</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>MTRR</italic> (66A&gt;G), AA <italic>vs.</italic> AG/GG</td>
<td valign="bottom" align="left">1.494 (0.629&#x2013;3.547)</td>
<td valign="bottom" align="left">0.376</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>MTHFR</italic> (665C&gt;T), CC <italic>vs.</italic> TC/TT</td>
<td valign="bottom" align="left">0.676 (0.269&#x2013;1.696)</td>
<td valign="bottom" align="left">0.436</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>ABCB1</italic> (1236C&gt;T), CC <italic>vs.</italic> TC/TT</td>
<td valign="bottom" align="left">1.220 (0.382&#x2013;3.897)</td>
<td valign="bottom" align="left">0.717</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>ABCB1</italic> (3435C&gt;T), CC <italic>vs.</italic> TC/TT</td>
<td valign="bottom" align="left">0.735 (0.307&#x2013;1.759)</td>
<td valign="bottom" align="left">0.473</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>ABCB1</italic> (1000-44C&gt;T), CC <italic>vs.</italic> TC/TT</td>
<td valign="bottom" align="left">1.200 (0.506&#x2013;2.845)</td>
<td valign="bottom" align="left">0.672</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">ABCB1 (1554+24A&gt;G), AA <italic>vs.</italic> AG/GG</td>
<td valign="bottom" align="left">1.200 (0.506&#x2013;2.845)</td>
<td valign="bottom" align="left">0.672</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>ABCB1</italic> (1725+38C&gt;T), CC <italic>vs.</italic> TC/TT</td>
<td valign="bottom" align="left">1.200 (0.506&#x2013;2.845)</td>
<td valign="bottom" align="left">0.672</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Peri-ES, no <italic>vs.</italic> yes</td>
<td valign="bottom" align="left">0.556 (0.234&#x2013;1.324)</td>
<td valign="bottom" align="left">0.212</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Donor gender, male <italic>vs.</italic> female</td>
<td valign="bottom" align="left">1.490 (0.510&#x2013;4.350)</td>
<td valign="bottom" align="left">0.514</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>GvHD, graft-versus-host disease; HR, hazard ratio; TBI, total body irradiation; MTX, methotrexate; CsA, cyclosporine A; FK506, tacrolimus; CB, cord blood; MNC, mononuclear cells; Peri-ES, peri-engraftment syndrome.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>In this study, we analyzed the correlation between MTX-related transporter and metabolizing enzyme gene polymorphisms, Peri-ES, and aGvHD after haplo-HSCT in 57 pediatric patients with malignant hematological diseases. Basic characteristics and transplant outcomes between different MTX-related transporter and metabolizing enzyme gene polymorphisms were compared, in which we primarily found that patients with <italic>ABCB1</italic> (1236C&gt;T) were associated with platelet recovery day. When considering the time of disease occurrence, we found that patients with <italic>SLCO1B1</italic> (1865+4846T&gt;C) TC/CC genotype had a higher incidence of Peri-ES. Furthermore, our Cox regression analysis revealed that <italic>SLCO1B1</italic> (1865+4846T&gt;C) TT genotype was an independent protective factor against the overall incidence of Peri-ES.</p>
<p>Peri-ES is defined as a clinical syndrome encompassing both engraftment syndrome (ES) and pre-engraftment syndrome (pre-ES), which is closely correlated with the prognosis (<xref ref-type="bibr" rid="B6">6</xref>). In our cohort, 61.4% of patients (35/57) developed Peri-ES, which was higher than the reported rate (<xref ref-type="bibr" rid="B6">6</xref>). Our data showed that patients receiving haplo-HSCT combined with umbilical cord blood (haplo-cord HSCT) had a trend of increasing incidence of Peri-ES (21/31 <italic>vs.</italic> 14/26, <italic>p</italic> = 0.283). It is well known that the incidence of Peri-ES is closely associated with umbilical cord blood transplantation (UCBT). Previous studies showed that granulocyte-macrophage colony-stimulating factor (GM-CSF) produced by cord blood-derived inflammatory monocytes played a crucial role in driving the pathology of pre-ES in UCBT (<xref ref-type="bibr" rid="B8">8</xref>). In our study, approximately half of the patients underwent haplo-HSCT combined with UCBT. Thus, the increased vulnerability to Peri-ES in our cohort may be linked to the presence of highly potent monocytes that produce GM-CSF within the UCB grafts. It was noteworthy that an overwhelmingly high proportion of patients underwent methylprednisolone therapy and improved.</p>
<p>MTX is a cornerstone drug in preventing GvHD and has been shown to significantly reduce the incidence of Peri-ES after UCBT (<xref ref-type="bibr" rid="B9">9</xref>). The disposition of MTX is a complex process that involves various transporters and enzymes. Renal excretion is the primary route of elimination for MTX. Due to the significant contribution of enterohepatic circulation to its disposition, both transporters in the kidneys and liver are important determinants of clearance (<xref ref-type="bibr" rid="B10">10</xref>). SLCO1B1, also known as OATP-2 or LST1, is a bidirectional transporter with 12 transmembrane domains encoded by <italic>SLCO1B1</italic> located on chromosome 12p12, which is mainly expressed in the hepatocyte basolateral membrane and plays a crucial role in the uptake of endogenous and exogenous anionic compounds, including MTX (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>The rs11045879 single-nucleotide polymorphism (SNP), also known as <italic>SLCO1B1</italic> (1865+4846T&gt;C), is an intronic variant of the <italic>SLCO1B1</italic> gene located at chr12:21229685. The functional implications of <italic>SLCO1B1</italic> (1865+4846T&gt;C) have not been fully elucidated; however, its clinical relevance in MTX treatment is noteworthy. <italic>SLCO1B1</italic> (1865+4846T&gt;C) was identified in a genome-wide association study as one of the most important factors influencing MTX clearance in patients with acute lymphoblastic leukemia (ALL) (<xref ref-type="bibr" rid="B12">12</xref>). Several studies have shown that patients carrying <italic>SLCO1B1</italic> (1865+4846T&gt;C) C allele had a tendency to demonstrate increased MTX plasma concentrations and decreased MTX clearance rates, which is associated with an increased risk for MTX-related toxicity, including gastrointestinal toxicity and anal mucositis (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). Katja Gori&#x10d;ar conducted a prognostic analysis on osteosarcoma patients undergoing HD-MTX therapy and discovered that <italic>SLCO1B1</italic> (1865+4846T&gt;C) C allele was associated with a higher event-free survival (<xref ref-type="bibr" rid="B16">16</xref>). The studies regarding the relationship between low-dose MTX and <italic>SLCO1B1</italic> gene polymorphisms were rare. &#x130;rem Eldem found that the <italic>SLCO1B1</italic> (1865+4846T&gt;C) variant was associated with lower tolerances to MTX in children with ALL who had completed or were receiving maintenance therapy (<xref ref-type="bibr" rid="B18">18</xref>). In summary, the <italic>SLCO1B1</italic> (1865+4846T&gt;C) variant is closely associated with the pharmacokinetics and pharmacodynamics of MTX and deserves further investigation.</p>
<p>Our study suggested that <italic>SLCO1B1</italic> gene polymorphism was related to Peri-ES, but the mechanism was unclear. The mechanism of MTX entering cells mainly involves the carrier molecules on the cell membrane, such as members of the classic anti-cancer drug transporter family <italic>in vitro</italic> and <italic>in vivo</italic>, which recognize and transport MTX-containing complexes on the cell membrane (<xref ref-type="bibr" rid="B19">19</xref>). Additionally, high concentrations of extracellular MTX can allow for passive diffusion into the cell (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). As the dose of MTX used for GvHD is low, MTX is more likely to enter cells <italic>via</italic> transporters in children undergoing allo-HSCT. Previous studies had shown that short-term MTX was related to a lower rate of ES and III&#x2013;IV aGvHD (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Narimatsu indicated that MTX may alter interactions among donor lymphocytes, facilitating engraftment and residual recipient immune cells capable of graft rejection, thereby modulating engraftment (<xref ref-type="bibr" rid="B22">22</xref>). However, as a folic acid antagonist, MTX requires cellular entry to exert its anti-proliferative function. Most <italic>SLCO1B1</italic> gene polymorphisms can lead to decreased transport activity, including influx and efflux (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>), which decrease MTX entering cells. This may explain why patients with the <italic>SLCO1B1</italic> variant genotype showed a higher incidence of Peri-ES than those with the wild-type genotype. Another explanation for our conclusion is that although several studies had shown that <italic>SLCO1B1</italic> (1865+4846T&gt;C) variant leads to increasing plasma concentration and thus results in MTX-related toxicity, these are all focused on the use of HD-MTX (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Currently, there is no research on the influence of SLC family gene polymorphism on MTX after HSCT. The pharmacokinetics of the SLC family in the allo-HSCT population remains unclear. Therefore, we plan to utilize high-performance liquid chromatography (HPLC) to detect the plasma concentration of MTX after allo-HSCT to verify our results in the future.</p>
<p>Another interesting finding in our research was that <italic>ABCB1</italic> (1236C&gt;T) was associated with platelet recovery day. MTX is pumped out from the cells by ABC subfamily transporters, including ABCB1 (<xref ref-type="bibr" rid="B27">27</xref>). <italic>ABCB1</italic> (1236C&gt;T) was the most common and extensively studied <italic>ABCB1</italic> SNP, which involves a C to T transition at position 1236 within exon 12 (<xref ref-type="bibr" rid="B28">28</xref>). Bo Jiang discovered that the T allele of <italic>ABCB1</italic> (1236C&gt;T) gene variant increases the efflux of MTX (<xref ref-type="bibr" rid="B29">29</xref>). This implies that in wild-type patients, there is a decrease in the efflux of MTX in hematopoietic cells, leading to the inhibition of cell proliferation by MTX. Consequently, this may explain why wild-type patients with the <italic>ABCB1</italic> (1236C&gt;T) variant are more prone to experiencing slowed recovery of hematopoietic cells.</p>
<p>Our study has several limitations, including the absence of information regarding the donor&#x2019;s gene polymorphism status and the small sample size to analyze the association between transplantation outcome and MTX-related transporter and metabolizing enzyme gene polymorphisms. Consequently, we need future studies to validate our findings in a larger subsequent cohort, especially in a prospective study design.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>In summary, our study suggests that <italic>SLCO1B1</italic> genotype is correlated with Peri-ES in pediatric patients undergoing haplo-HSCT with MTX as GvHD prophylaxis. Specifically, the <italic>SLCO1B1</italic> (1865+4846T&gt;C) TT genotype was an independent protective factor against the development of Peri-ES, and the dose of reinfused MNC was significantly associated with II&#x2013;IV aGvHD. Our findings contribute to a better understanding of the inter-individual difference in efficacy and facilitate the development of individualized approaches to GvHD prophylaxis, ultimately leading to improved HSCT outcomes.</p>
</sec>
<sec id="s6" 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: CNGB Sequence Archive (CNSA) of China National GeneBank DataBase (CNGBdb) CNP0004415 (<ext-link ext-link-type="uri" xlink:href="https://db.cngb.org">https://db.cngb.org</ext-link>).</p>
</sec>
<sec id="s7" 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="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>SH and JQ designed the study and approved the final manuscript. QJ, YZ, YH, LG, BL, YT, LK, SW, JLing, PX, JLu, JLi, and YY collected the clinical sample and data. LL and CS performed the NGS platform. QJ, YZ, YH, LL, and JQ did the statistical analysis. QJ, JQ, and SH wrote and edited the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Key R&amp;D Program of China (2022YFC2502700), National Natural Science Foundation of China (NSFC) (81970163, 82170218, 82100229, and 82200177), the Jiangsu Project (BE2021654 and BK20210097), the Suzhou project (SZS201615, GSWS2020039, SKY2022183, and SYS2020153), and the National Clinical Research Center for Hematological Disorders (2020ZKPB02).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank all the patients who participated in this study.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Authors LL, SC, 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="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.2023.1229266/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2023.1229266/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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