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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1736165</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Dinutuximab beta versus historical controls in the treatment of relapsed neuroblastoma: unadjusted and adjusted indirect comparisons</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Lode</surname><given-names>Holger N.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author">
<name><surname>Holko</surname><given-names>Przemys&#x142;aw</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Wieczorek</surname><given-names>Aleksandra</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>&#x15a;ladowska</surname><given-names>Katarzyna</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Siebert</surname><given-names>Nikolai</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Valteau-Couanet</surname><given-names>Dominique</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Garaventa</surname><given-names>Alberto</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2021698/overview"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Ca&#xf1;ete</surname><given-names>Adela</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2397663/overview"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
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<contrib contrib-type="author">
<name><surname>Anderson</surname><given-names>John</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/173786/overview"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Yaniv</surname><given-names>Isaac</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
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<contrib contrib-type="author">
<name><surname>Ash</surname><given-names>Shifra</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2767877/overview"/>
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<contrib contrib-type="author">
<name><surname>Moreno</surname><given-names>Lucas</given-names></name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2232107/overview"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
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<contrib contrib-type="author">
<name><surname>Gray</surname><given-names>Juliet</given-names></name>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2061886/overview"/>
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<contrib contrib-type="author">
<name><surname>Luksch</surname><given-names>Roberto</given-names></name>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
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<contrib contrib-type="author">
<name><surname>Laureys</surname><given-names>Genevieve</given-names></name>
<xref ref-type="aff" rid="aff13"><sup>13</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
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<contrib contrib-type="author">
<name><surname>Owens</surname><given-names>Cormac</given-names></name>
<xref ref-type="aff" rid="aff14"><sup>14</sup></xref>
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<contrib contrib-type="author">
<name><surname>Manzitti</surname><given-names>Carla</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>Troschke-Meurer</surname><given-names>Sascha</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/699072/overview"/>
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<contrib contrib-type="author">
<name><surname>Kawalec</surname><given-names>Pawe&#x142;</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Ladenstein</surname><given-names>Ruth L.</given-names></name>
<xref ref-type="aff" rid="aff15"><sup>15</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Pediatric Hematology and Oncology, University Medicine Greifswald</institution>, <city>Greifswald</city>,&#xa0;<country country="de">Germany</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Nutrition and Drug Research, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College</institution>, <city>Krakow</city>,&#xa0;<country country="pl">Poland</country></aff>
<aff id="aff3"><label>3</label><institution>Paediatric Haematology Oncology, Jagiellonian University Medical College</institution>, <city>Krakow</city>,&#xa0;<country country="pl">Poland</country></aff>
<aff id="aff4"><label>4</label><institution>Children and Adolescent Oncology Department, Gustave Roussy, Paris-Sud University</institution>, <city>Paris</city>,&#xa0;<country country="fr">France</country></aff>
<aff id="aff5"><label>5</label><institution>Oncology Unit, IRCCS, Istituto Giannina Gaslini</institution>, <city>Genoa</city>,&#xa0;<country country="it">Italy</country></aff>
<aff id="aff6"><label>6</label><institution>Paediatric Haemato-oncology Unit, Hospital Universitario y Politecnico La Fe</institution>, <city>Valencia</city>,&#xa0;<country country="es">Spain</country></aff>
<aff id="aff7"><label>7</label><institution>Developmental Biology and Cancer Department, University College London (UCL) Great Ormond Street Institute of Child Health</institution>, <city>London</city>,&#xa0;<country country="gb">United Kingdom</country></aff>
<aff id="aff8"><label>8</label><institution>Schneider Children&#x2019;s Medical Center of Israel, Sackler Faculty of Medicine, Tel Aviv University</institution>, <city>Petach Tikva</city>,&#xa0;<country country="il">Israel</country></aff>
<aff id="aff9"><label>9</label><institution>Department of Pediatric Hematology-Oncology, Ruth Rappaport Children&#x2019;s Hospital, Rambam Health Care Campus, Technion-Israel Institute of Technology, Rappaport Faculty of Medicine</institution>, <city>Haifa</city>,&#xa0;<country country="il">Israel</country></aff>
<aff id="aff10"><label>10</label><institution>Division of Pediatric Hematology &amp; Oncology, Vall d&#x2019;Hebron Barcelona Hospital Campus</institution>, <city>Barcelona</city>,&#xa0;<country country="es">Spain</country></aff>
<aff id="aff11"><label>11</label><institution>Centre for Cancer Immunology, University of Southampton</institution>, <city>Southampton</city>,&#xa0;<country country="gb">United Kingdom</country></aff>
<aff id="aff12"><label>12</label><institution>Department of Pediatric Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori</institution>, <city>Milan</city>,&#xa0;<country country="it">Italy</country></aff>
<aff id="aff13"><label>13</label><institution>Department of Pediatric Hematology/Oncology and Stem Cell Transplantation University Hospital Ghent</institution>, <city>Ghent</city>,&#xa0;<country country="be">Belgium</country></aff>
<aff id="aff14"><label>14</label><institution>Department of Haemato-Oncology, Our Lady&#x2019;s Children&#x2019;s Hospital Ireland</institution>, <city>Dublin</city>,&#xa0;<country country="ie">Ireland</country></aff>
<aff id="aff15"><label>15</label><institution>Department of Paediatrics, St. Anna Children&#x2019;s Hospital, Medical University</institution>, <city>Vienna</city>,&#xa0;<country country="at">Austria</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Holger N. Lode, <email xlink:href="mailto:lode@uni-greifswald.de">lode@uni-greifswald.de</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-22">
<day>22</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1736165</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>16</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Lode, Holko, Wieczorek, &#x15a;ladowska, Siebert, Valteau-Couanet, Garaventa, Ca&#xf1;ete, Anderson, Yaniv, Ash, Moreno, Gray, Luksch, Laureys, Owens, Manzitti, Troschke-Meurer, Kawalec and Ladenstein.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Lode, Holko, Wieczorek, &#x15a;ladowska, Siebert, Valteau-Couanet, Garaventa, Ca&#xf1;ete, Anderson, Yaniv, Ash, Moreno, Gray, Luksch, Laureys, Owens, Manzitti, Troschke-Meurer, Kawalec and Ladenstein</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-22">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>Dinutuximab beta (dB) immunotherapy is used as maintenance treatment for relapsed/refractory neuroblastoma (NBL); however, comparative studies directly comparing dB with no dB therapy in this setting are lacking. This study aimed to indirectly compare dB (with or without interleukin-2) with no immunotherapy in patients with relapsed NBL.</p>
</sec>
<sec>
<title>Methods</title>
<p>Three studies of dB (APN311-202, APN311-304, and APN311-303) with individual patient data, along with two historical control cohorts (INBR and R1) were included. Both unadjusted (na&#xef;ve) and population-adjusted comparisons of overall survival (OS) were performed, with adjustment conducted using inverse probability or odds weighting. Harmonized inclusion criteria were applied across all study populations. The adjusted comparison used the propensity score reweighting to balance the cohorts based on key baseline prognostic factors.</p>
</sec>
<sec>
<title>Results</title>
<p>The base-case unadjusted indirect comparison revealed that dB (with or without IL-2) significantly prolonged OS compared to historical controls not treated with dB (hazard ratio [HR], 0.43; 95% confidence interval [CI], 0.31&#x2013; 0.79; p&lt;0.001). Similarly, in the adjusted comparison, dB significantly prolonged OS compared to historical controls (HR, 0.53; 95% CI, 0.35; 0.79, p=0.002). All sensitivity unadjusted and adjusted comparisons supported the results of the base-case analysis.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Dinutuximab beta significantly prolonged OS compared to historical control cohorts not treated with dB in both unadjusted and adjusted indirect comparisons.</p>
</sec>
</abstract>
<kwd-group>
<kwd>dinutuximab beta</kwd>
<kwd>historical controls</kwd>
<kwd>indirect comparison</kwd>
<kwd>relapsed neuroblastoma</kwd>
<kwd>anti-GD2 immunotherapy</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. Funding for data extraction and editorial assistance was provided by Recordati UK Ltd. Open Access was funded by Recordati Rare Diseases. Recordati Netherlands B.V. has marketing authorization for dinutuximab beta in Europe. This work was partially supported by the Italian Ministry of Health 5x1000 project 2019 (5M-2019-23680433) and by Ricerca Corrente&#x201d; for the collection of Italian data. Further financial support came from Hector Stiftungen, under Grant M2116, Deutsche Forschungsgemeinschaft, under Grant Sl 2147/4-1, as well as Kinderkrebsstiftung under Grant DKS 2024.23. Recordati was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="63"/>
<page-count count="17"/>
<word-count count="8098"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Pediatric Oncology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Neuroblastoma (NBL) is a malignant tumor of incompletely understood etiology, originating from neuroblasts. The peak incidence of NBL occurs during the second year of life, with 90% of cases diagnosed in children under 5 years of age (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). The location of the primary tumor varies depending on the origin and migratory pathways of neuroblasts during fetal development. Most commonly, NBL arise in the retroperitoneal area of the abdominal cavity, posterior mediastinum, neck, or pelvis (<xref ref-type="bibr" rid="B3">3</xref>). Clinical symptoms largely depend on the location of the primary lesion. Symptoms of relapsed neuroblastoma can include among others an abdominal mass, enlarged lymph nodes in the neck, swelling and bruising of the area around the eyes, unexplained fevers, bone pain, or limping, weakness or paralysis, weight loss or poor appetite, and uncontrolled eye or leg movements (<xref ref-type="bibr" rid="B4">4</xref>). Additionally, symptoms may be associated with excessive secretion of catecholamines or intestinal vasoactive hormones (<xref ref-type="bibr" rid="B2">2</xref>). Neuroblastoma is often associated with nonspecific symptoms that may delay diagnosis, such as somnolence, lack of appetite, weight loss, abdominal pain, fever, lymphadenopathy, pallor, easy bruising, weakness, or irritability (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Relapsed disease does not need to manifest clinically as symptomatic tumor progression (<xref ref-type="bibr" rid="B6">6</xref>). Typically, new lesions are detected in bone or bone marrow during follow-up scanning after completion of upfront therapy with earlier detection allowing for earlier treatment initiation aiming to improve outcomes (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>In high-risk NBL (HR-NBL), defined by metastatic disease in children older than 12 or 18 months, or by <italic>MYCN</italic> amplification at any age, approximately half of those who achieve remission will experience relapse (<xref ref-type="bibr" rid="B8">8</xref>). The median time to relapse is 13.2 months (range, 1 day to 11.4 years), and the 5-year overall survival (OS) from the time of first relapse is 20% (<xref ref-type="bibr" rid="B9">9</xref>). This indicates that relapse negatively affects survival, with earlier relapse associated with a higher risk of death (<xref ref-type="bibr" rid="B9">9</xref>). Relapsed NBL requires intensive treatment that may involve a combination of chemotherapy, immunotherapy, and other targeted therapies. The most important goal of treatment in patients with relapsed/refractory NBL is to control disease and delay progression in the short-term, with the aim of prolonging long-term disease-free survival and potentially providing a route to cure with increasing emphasis on quality of life (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>The presence of GD2, a disialoganglioside expressed on the surface of almost all NBL cells, was identified as a target for immune recognition by anti-GD2 monoclonal antibodies (<xref ref-type="bibr" rid="B11">11</xref>), forming the basis for effective immunotherapy and chemoimmunotherapy. Dinutuximab beta (dB, ch14.18/CHO) is a chimeric monoclonal IgG1 antibody specifically directed against the carbohydrate moiety of GD2, which is overexpressed on NBL cells (<xref ref-type="bibr" rid="B12">12</xref>). <italic>In vitro</italic> studies have demonstrated that dB binds to GD2-expressing NBL cell lines and induces both complement-dependent and antibody-dependent cell-mediated cytotoxicity (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). In the presence of human effector cells, dB was found to mediate the lysis of human NBL and melanoma cell lines in a dose-dependent manner (<xref ref-type="bibr" rid="B14">14</xref>). Unlike other mouse-human chimeric monoclonal IgG1 antibodies, dB is produced in Chinese hamster ovary (CHO) cells. These cells are virus free and are considered the current standard for the production of recombinant proteins used in clinical trials (<xref ref-type="bibr" rid="B15">15</xref>). Additionally, CHO-derived production has favorable glycosylation pattern (less amount of immunogenic Neu5Gc forms of sialic acid) (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>), while anti-GD2 monoclonal antibody produced in SP2/0 cells (such as dinutuximab (Unituxin<sup>&#xae;</sup>), contains Galactose-alpha-1,3-Galactose epitopes which have the potential to cause allergic/hypersensitivity reactions, including anaphylaxis (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). No Galactose-alpha-1,3-Galactose-epitopes are present on dB and the reported difference in the risk serious anaphylactic reactions is approximately two-fold in favor of dB (<xref ref-type="bibr" rid="B18">18</xref>), albeit head-to-head study data have not been identified. At present, dB is the only anti-GD2 treatment that has been approved by the European Medicines Agency for the treatment of NBL since May 2017 (<xref ref-type="bibr" rid="B14">14</xref>), and is the only anti-GD2 antibody approved for maintenance therapy both in patients with newly diagnosed and relapsed disease.</p>
<p>Maintenance therapy with anti-GD2 antibodies, such as dinutuximab and dB, has demonstrated efficacy in patients with HR-NBL in the first-line setting, with significant improvements in event-free survival and OS, as shown in COG and SIOPEN trials (p&lt;0.05) (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Subsequent research investigating the addition of interleukin-2 (IL-2) revealed no further benefit (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>), leading to the recommendation that dB therapy be administered without IL-2 (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>Furthermore, anti-GD2 immunotherapies have been established as a standard of care for the treatment of relapsed/refractory NBL when administered in combination with chemotherapy (<xref ref-type="bibr" rid="B27">27</xref>). Following disease control, anti-GD2 monotherapy is subsequently used as maintenance therapy, with the aim of sustaining remission and preventing further relapse (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>In a retrospective Spanish study by de las Heras et&#xa0;al. (2025) (<xref ref-type="bibr" rid="B29">29</xref>), which included patients with refractory and relapsed/progressive HR-NBL, anti-GD2 immunotherapy (administered in combination with chemotherapy, as consolidation, or as maintenance) was associated with significantly improved OS (48.4% vs. 19.4%, p=0.012), compared to no immunotherapy (<xref ref-type="bibr" rid="B29">29</xref>). Previously, a comparison of retrospective data to historical controls from Italian Neuroblastoma Registry (INBR) demonstrated improved overall survival on dB (p=0.002) (<xref ref-type="bibr" rid="B30">30</xref>). While the impact of dB on OS in patients with relapsed/refractory NBL is acknowledged, the design limitations of available studies (such as cross-over effects in prospective trials, lack of separate analyses for dB in maintenance therapy, and small sample sizes) (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>) preclude a reliable estimation of the effect size. No trials are currently available that directly assess dB used as maintenance therapy, either in combination with IL-2 or as a single agent, as recommended by SIOPEN, compared to no dB (i.e., no immunotherapy) in the relapsed NBL setting. Given the high unmet need among patients with relapsed NBL and the lack of alternative therapies at the maintenance stage, it is essential to conduct a reliable indirect comparison of survival outcomes. Indeed, it is likely the only viable approach to generate comparative evidence, as a parallel prospective study of dB versus non-immunotherapy control, may not be ethically feasible.</p>
<p>Therefore, the aim of this study was to compare OS in patients with relapsed NBL treated with dB as maintenance therapy (either in combination with IL-2 or as a single agent, as recommended by SIOPEN) with that of historical control patients who did not receive anti-GD2 immunotherapy.</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 plan</title>
<p>This was an indirect, unanchored comparison of time-to-event data from various sources. Both unadjusted (na&#xef;ve) and population-adjusted comparisons were planned, with the latter using inverse probability or odds weighting. Harmonized inclusion criteria were applied across all study populations. For the adjusted analysis, propensity score (PS) reweighting was used to balance cohorts based on key baseline prognostic factors.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Selection of sources</title>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Historical controls</title>
<p>Two sources of individual patient data (IPD) for historical controls were identified:</p>
<list list-type="bullet">
<list-item>
<p>a subset of the patient population from the study by Garaventa et&#xa0;al. (2009) (<xref ref-type="bibr" rid="B33">33</xref>), specifically relapsed patients diagnosed between 1999 and 2004 from the Italian Neuroblastoma Registry (INBR);</p></list-item>
<list-item>
<p>patients initially treated in the control (non-dB) arm of the frontline R1 randomization of the HR-NBL-1/SIOPEN study (<xref ref-type="bibr" rid="B34">34</xref>) who then relapsed and became eligible for dB.</p></list-item>
</list>
<p>Garaventa et&#xa0;al. (2009) (<xref ref-type="bibr" rid="B33">33</xref>) analyzed data from the INBR involving children who experienced disease recurrence following treatment under protocols established by the Associazione Italiana di Ematologia e Oncologia Pediatrica (AIEOP). Treatment details are provided in Section 2 of the respective publication (<xref ref-type="bibr" rid="B33">33</xref>). While their original analyses were based on follow-up data censored as of December 31, 2006, the comparisons presented in this report used extended data with follow-up until December 9, 2015. Although Garaventa et&#xa0;al. (2009) (<xref ref-type="bibr" rid="B33">33</xref>) included patients diagnosed with NBL between 1979 and 2004, only those diagnosed between 1999 and 2004 were selected for this historical control comparison. This period was chosen because 1999 marked the introduction of modern multimodal induction and consolidation chemotherapy, combined with maintenance therapy using 13-cis retinoic acid (13-cis-RA; isotretinoin), which significantly improved the prognosis for patients with HR-NBL.</p>
<p>Garaventa et&#xa0;al. (2009) (<xref ref-type="bibr" rid="B33">33</xref>) defined relapses as the appearance of any new lesion(s) or deterioration of previous lesion(s). The timing of relapse was defined as &#x201c;early relapse&#x201d; or &#x201c;late relapse&#x201d;, using a cut-off of 18 months after achieving complete response or very good partial response.</p>
<p>To obtain a historical control population comparable to dB-treated patients, only individuals with relapsed NBL as their baseline disease status were selected from both data sources. Additionally, the following selection criteria were applied to the patient cohort described by Garaventa et&#xa0;al. (2009) (<xref ref-type="bibr" rid="B33">33</xref>) to ensure optimal comparability between study patients and historical controls:</p>
<list list-type="bullet">
<list-item>
<p>date of initial diagnosis &#x2265;1999,</p></list-item>
<list-item>
<p>age at initial diagnosis &#x2265;12 months (as calculated by Garaventa et&#xa0;al., 2009),</p></list-item>
<list-item>
<p>age at first relapse &#x2265;12 months (as calculated by Garaventa et&#xa0;al., 2009),</p></list-item>
<list-item>
<p>International Neuroblastoma Staging System (INSS) stage 4 at initial diagnosis or first relapse not classified as local,</p></list-item>
<list-item>
<p>patients were alive at the auxiliary starting point (defined below).</p></list-item>
</list>
<p>HR-NBL-1/SIOPEN (<xref ref-type="bibr" rid="B34">34</xref>) is an open, multicenter randomized phase III therapy optimization study including several randomization steps. The first step, the R1 randomization phase, began in 2002 and compared 2 myeloablative therapy (MAT) regimens: busulfan and melphalan versus carboplatin, etoposide, and melphalan. The R2 randomization phase, initiated in 2009 (i.e., several years after R1), compared ch14.18/CHO (dB) immunotherapy following MAT, with or without aldesleukin (interleukin-2; IL-2), in addition to differentiation therapy with 13-cis-RA. Thus, patients enrolled in the R1 phase who received standard-of-care NBL treatment, including MAT but without immunotherapy, represent a valid historical control group for comparison with patients who received immunotherapy alongside standard treatment.</p>
<p>For the R1 historical control group comparison, patients from the HR-NBL-1/SIOPEN study (<xref ref-type="bibr" rid="B34">34</xref>) who were randomized in the R1 phase (but not in the R2 phase, as those patients received dB immunotherapy) were selected. Inclusion required a documented complete response (although HR-NBL-1/SIOPEN study enrolled patients with prior complete or partial response) following MAT, or following radiotherapy if the tumor status after MAT was unavailable, along with a recorded subsequent relapse date. Patients from the HR-NBL-1/SIOPEN study who were randomized in the R1 phase and achieved a complete response after MAT, or after radiotherapy if post-MAT tumor status was unavailable, were excluded if they experienced their first relapse prior to the completion of MAT (or radiotherapy, as applicable).</p>
<p>In addition to having relapsed NBL, the Garaventa et&#xa0;al. (2009) (<xref ref-type="bibr" rid="B33">33</xref>) control-selection criteria for the R1 controls were used to enhance comparability. In total, 82 patients with relapsed NBL from the historical control groups were included in the study.</p>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Dinutuximab beta</title>
<p>Six studies evaluating dB for the treatment of relapsed NBL were identified in our previous systematic review (<xref ref-type="bibr" rid="B35">35</xref>) and assessed for potential inclusion in the indirect comparison with historical controls (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). Of these 6 studies, 3 (APN311&#x2013;202 V1+V2 [stage I] (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B36">36</xref>), and APN311&#x2013;202 V3 [stage II] (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B40">40</xref>), APN311-304 (<xref ref-type="bibr" rid="B37">37</xref>), and APN311-303 (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B30">30</xref>), were included in the indirect comparison (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), based on the following selection criteria:</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Studies of dB in the treatment of relapsed neuroblastoma.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="2" align="center">Study, cohort</th>
<th valign="middle" align="center">Comment</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="center">APN311-202 (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="middle" align="center">V1+V1 (stage I)</td>
<td valign="middle" align="center">&#x2022;&#x2003;Included<break/>&#x2022;&#x2003;Prospective, 51 patients with relapsed disease</td>
</tr>
<tr>
<td valign="middle" align="center">V3 (stage II)</td>
<td valign="middle" align="center">&#x2022;&#x2003;Included<break/>&#x2022;&#x2003;Prospective, 45 patients with relapsed disease (21 in experimental arm, without IL-2)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">APN311-304 (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="middle" align="center">&#x2022;&#x2003;Included<break/>&#x2022;&#x2003;Prospective, 19 patients with relapsed disease<break/>&#x2022;&#x2003;OS: long-term follow-up data available (18 patients with relapsed disease)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">APN311-303 (compassionate use) (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="middle" align="center">&#x2022;&#x2003;Included<break/>&#x2022;&#x2003;Retrospective, 30 patients with relapsed disease<break/>&#x2022;&#x2003;Compassionate use (treatment or patient selection unknown and/or not representative to whole population)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Wieczorek et&#xa0;al., 2023 (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="middle" align="center">&#x2022;&#x2003;Excluded<break/>&#x2022;&#x2003;Only 8 patients with relapsed disease</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">APN311-201 (Flaadt et&#xa0;al., 2023) (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="middle" align="center">&#x2022;&#x2003;Excluded<break/>&#x2022;&#x2003;No IPD<break/>&#x2022;&#x2003;Inappropriate dosing (28-day cycle)<break/>&#x2022;&#x2003;Inappropriate treatment (haplo-SCT required as treatment of all patients)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">APN311-101 (Ladenstein et&#xa0;al., 2013) (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="middle" align="center">&#x2022;&#x2003;Excluded<break/>&#x2022;&#x2003;Inappropriate dosing (28-day cycle; max 3 cycles; only 10 patients with recommended dose)<break/>&#x2022;&#x2003;No IPD for relapsed patients (16 refractory)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IL-2, interleukin-2 (aldesleukin); IPD, individual patient data; OS, overall survival; SCT, stem cell transplantation.</p></fn>
</table-wrap-foot>
</table-wrap>
<list list-type="bullet">
<list-item>
<p>patient population: at least 10 patients with relapsed NBL,</p></list-item>
<list-item>
<p>treatment: administered according to the registered protocol and clinical guidelines,</p></list-item>
<list-item>
<p>availability of IPD.</p></list-item>
</list>
<p>Patients treated for relapse were identified from the selected studies. These patients had experienced at least one relapse since their initial diagnosis of NBL and had received treatment for the relapse prior to initiating immunotherapy. In total, 144 patients with relapsed NBL treated with dB (with or without IL-2) were included in the study. General information about the included dB trials is provided in <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>Key information about dB trials included in indirect treatment comparison.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">APN311-202, V1+V2 (stage I) (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B36">36</xref>)</th>
<th valign="middle" align="center">APN311-202, V3 (stage II) (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B40">40</xref>)</th>
<th valign="middle" align="center">APN311-304 (<xref ref-type="bibr" rid="B37">37</xref>)</th>
<th valign="middle" align="center">APN311-303 (<xref ref-type="bibr" rid="B18">18</xref>)/Mueller et&#xa0;al., 2018 (<xref ref-type="bibr" rid="B30">30</xref>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Methods</td>
<td valign="middle" align="center">Phase I/II trial<break/>Stage I: dose schedule finding phase (V1+V2) open-label, single-arm, multicenter</td>
<td valign="middle" align="center">Phase II trial<break/>Stage II: confirmatory phase to treat an expansion cohort (V3) &#x2013; randomized controlled trial, parallel groups</td>
<td valign="middle" align="center">Prospective, open-label, single-arm Phase II trial</td>
<td valign="middle" align="center">Open-label, single-arm, retrospective, single-center, compassionate use</td>
</tr>
<tr>
<td valign="middle" align="center">Key inclusion criteria</td>
<td valign="middle" align="center">At study entry patients had to be &gt; 1 year but &#x2264; 21 years of age.<break/>Patients &gt;21 years but &#x2264; 45 years of age, fulfilling the remaining criteria, could be enrolled in the study. These patients were to be analyzed separately and were not to be included in the dose finding schedule algorithm. The purpose for the inclusion of older patients was to enable the collection of tolerability data.<break/>b) Patients had to be diagnosed with NBL according to the International Neuroblastoma Staging System (INSS) criteria.<break/>c) Patients had to have received at least 1 previous high-dose treatment followed by stem cell rescue after conventional therapy.<break/>d) Patients had to fulfill one of the following criteria:<break/>&#x2022; Patients with Stage 4 NBL either:<break/>o on the current high-risk SIOPEN trial (HR-NBL-1/SIOPEN) either with primary refractory disease having had 2 or more than 2 front-line treatments or patients ineligible for the R2 randomization due to major delays after completed high-dose treatments, or<break/>standard high-risk front-line treatment (other than HR-NBL1(1.5)/SIOPEN) consisting of intensive induction, followed by high-dose treatment with stem cell rescue.<break/>&#x2022; Treated and responding relapse after primary Stage 4 disease, without signs of progression at study entry;<break/>&#x2022; Treated and responding disseminated NBL relapse having received autologous stem cell transplantation (ASCT) without signs of progression at study entry</td>
<td valign="middle" align="center">Patients:<break/>1. diagnosed with NBL according to the INSS criteria<break/>2. aged &gt; 1 year but &#x2265;21 years of age at study entry (subjects &gt;21 and &#x2264;45 years of age could be enrolled and treated for the collection of tolerability data only)<break/>3. who had received at least one previous high dose treatment followed by stem cell rescue after conventional therapy.<break/>4. fulfilled one of the following<break/>&#x2022; Stage 4 NBL and<break/>on the current high-risk SIOPEN trial (HR-NBL-1(1.5)/SIOPEN) either with primary refractory disease having had two or more than two front-line treatments or subjects ineligible for the R2 or respectively R4 randomization due to major delays after completed high-dose treatments<break/>or<break/>standard high-risk front-line treatment (other than HR-NBL1(1.5)/SIOPEN) consisting of intensive induction, followed by high-dose treatment with stem cell rescue<break/>&#x2022; Treated and responding relapse after primary stage 4 NBL, without signs of progression at study entry;<break/>&#x2022; life expectancy &#x2265;12 weeks.</td>
<td valign="middle" align="center">Patients aged 1&#x2013;21 years with NB, according to the INSS criteria: primary refractory Stage 4 disease or had relapsed after primary Stage 4 disease, or had developed distant metastases following primarily localized NBL, and their tumor burden was controlled using conventional therapy but with measurable disease still present.</td>
<td valign="middle" align="center">Patients at &#x2265; 1 year and &#x2264; 45 years of age at treatment start with diagnosis of HR-NBL according to the INSS criteria, i.e. INSS stage 2, 3, 4, or 4s with MYCN amplification, or INSS stage 4 without MYCN amplification or relapsed or refractory NBL of any stage.<break/>Off any standard or experimental treatments for at least 2 weeks prior to treatment start and fully recovered from the short term major toxic effects</td>
</tr>
<tr>
<td valign="middle" align="center">Interventions for treatment of relapsed NBL</td>
<td valign="middle" align="center">dB: applied from Day 8 to 18 of each 35-day cycle as a 10-day continuous infusion of 100 mg/m<sup>2</sup> per cycle.<break/>IL-2: at the dose of 6x10<sup>6</sup> IU/m&#xb2;/day was given on Days 1&#x2013;5 and Days 8&#x2013;12 of each cycle.<break/>Isotretinoin: applied for 14 days starting at cycle Day 22 at the dose of 160 mg/m<sup>2</sup>/day</td>
<td valign="middle" align="center">Group I: dB + isotretinoin<break/>dB LTI 5 cycles of 100 mg/m<sup>2</sup> dB-LTI (days 8-17) + 160 mg/m<sup>2</sup> oral isotretinoin (days 19-32)<break/>vs<break/>Group II: dB + isotretinoin + IL-2<break/>dB LTI 5 cycles of 100 mg/m<sup>2</sup> dB-LTI (days 8-17) + 160 mg/m<sup>2</sup> oral isotretinoin (days 19-32) with IL-2 SC 6x10<sup>6</sup>IU/m<sup>2</sup> (days 1-5; 8-12)</td>
<td valign="middle" align="center">dB: 10 mg/m<sup>2</sup>/day as continuous infusion over the first 10 days of each 35-day cycle for up to 5 cycles (in the absence of disease progression) without IL-2 or isotretinoin. dB was planned to be administered in the hospital setting in each cycle, but if well tolerated, it could be given in an outpatient setting from day 5 of cycle 1.</td>
<td valign="middle" align="center">dB: initially 50 mg/m<sup>2</sup> in their first treatment cycle to assess feasibility and tolerability of the treatment regimen. Most patients started with SC IL-2 in the first week, followed by a combination of dB and IL-2 in the second week. The total duration of a cycle varied between 28 and 35 days. In each cycle treatment ended with oral isotretinoin after the completion of the dB infusion. A total of up to 6 cycles was given.<break/>IL-2: IL-2 was usually given SC at a dose of 6 x 10<sup>6</sup> IU/m<sup>2</sup>/day. The majority of patient received it in two 5-day blocks (days 1&#x2013;5 and 8-12). In these patients, IL-2 was given concurrently with dB on days 8-12. Initial patients, however, received IL-2 on days 1&#x2013;5 only as they started with the combination of IL-2 and dB. Patients &#x2264; 12 kg were dosed according to body weight: 0.2x10<sup>6</sup> IU/kg/day.<break/>Isotretinoin: total daily dose of 160 mg/m&#xb2;/day administered in two equal oral doses twice a day for 14 days after the completion of the dB infusion. Doses were rounded to the nearest 10 mg. The starting day was either day 14 or day 21. Patients &#x2264;12 kg were given 5.33 mg/kg/day divided into two equal doses given orally twice a day for 14 days.</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>dB, dinutuximab beta; HR-NBL, high-risk neuroblastoma; INSS, International Neuroblastoma Staging System; IL-2, interleukin 2; IU, international unit; LTI, long-term infusion; NBL, neuroblastoma; SC, subcutaneous.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Data management</title>
<p>The study included 144 patients with relapsed NBL treated with dB (with or without IL-2) and 82 patients with relapsed NBL from historical control groups (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Patient disposition in historical controls and dinutuximab beta studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Study</th>
<th valign="middle" align="center">Arm</th>
<th valign="middle" align="center">N</th>
<th valign="middle" align="center">%, arm</th>
<th valign="middle" align="center">%, total sample</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">INBR control</td>
<td valign="middle" align="center">Historical control</td>
<td valign="middle" align="center">34</td>
<td valign="middle" align="center">41.46%</td>
<td valign="middle" align="center">15.04%</td>
</tr>
<tr>
<td valign="middle" align="center">R1 control</td>
<td valign="middle" align="center">Historical control</td>
<td valign="middle" align="center">48</td>
<td valign="middle" align="center">58.54%</td>
<td valign="middle" align="center">21.24%</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Total</td>
<td valign="middle" align="center">82</td>
<td valign="middle" align="center">100.00%</td>
<td valign="middle" align="center">36.28%</td>
</tr>
<tr>
<td valign="middle" align="center">APN311-303</td>
<td valign="middle" align="center">dB</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">20.83%</td>
<td valign="middle" align="center">13.27%</td>
</tr>
<tr>
<td valign="middle" align="center">APN311-202, V1+V2</td>
<td valign="middle" align="center">dB</td>
<td valign="middle" align="center">51</td>
<td valign="middle" align="center">35.42%</td>
<td valign="middle" align="center">22.57%</td>
</tr>
<tr>
<td valign="middle" align="center">APN311-202, V3</td>
<td valign="middle" align="center">dB</td>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">31.25%</td>
<td valign="middle" align="center">19.91%</td>
</tr>
<tr>
<td valign="middle" align="center">APN311-304</td>
<td valign="middle" align="center">dB</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">12.50%</td>
<td valign="middle" align="center">7.96%</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Total</td>
<td valign="middle" align="center">144</td>
<td valign="middle" align="center">100.00%</td>
<td valign="middle" align="center">63.71%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>dB, dinutuximab beta.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The following information was extracted for each patient:</p>
<p>&#x2022; patient characteristics (determined by availability for historical controls):</p>
<list list-type="simple">
<list-item>
<p>o date of birth (for patients from the APN311&#x2013;304 study, only the year of birth was available; assumed birthday of June 30 for every patient),</p></list-item>
<list-item>
<p>o sex,</p></list-item>
<list-item>
<p>o date of initial diagnosis,</p></list-item>
<list-item>
<p>o date of relapse,</p></list-item>
<list-item>
<p>o date of immunotherapy initiation (first administration of dB),</p></list-item>
<list-item>
<p>o MYCN status (amplified, not amplified, or missing),</p></list-item>
<list-item>
<p>o INSS stage at initial diagnosis (specific stage or missing),</p></list-item>
</list>
<p>&#x2022; outcomes (OS):</p>
<list list-type="simple">
<list-item>
<p>o censor date (date of the last examination or contact),</p></list-item>
<list-item>
<p>o date of death,</p></list-item>
<list-item>
<p>o event classifier (event, 1; no event &#x2013; censored, 0).</p></list-item>
</list>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analysis</title>
<sec id="s2_4_1">
<label>2.4.1</label>
<title>Starting point</title>
<p>The starting point for OS analyses for dB studies was defined as the initiation of dB treatment (the day the first dose was administered, irrespective of IL-2 treatment). For historical control patients, who had not received dB, an auxiliary starting point was estimated using the date of the last documented relapse.</p>
<p>In the base-case analysis, the starting point was estimated by adding 269 days to the date of relapse, corresponding to the median time between the first relapse and the initiation of dB and/or IL-2 treatment among patients in the APN311&#x2013;202 study (contributing majority of patients to pooled dataset).</p>
<p>In the sensitivity analysis, the starting point was estimated using a generalized linear model (with a gamma distribution, log link, and robust variance) fitted to data on the time from relapse to initiation of dB treatment in patients from the dB arm (N = 142). The model was then used to predict the auxiliary starting point in historical control patients according to their characteristics (MYCN status, INSS stage, sex, age at initial diagnosis, and time from diagnosis to relapse).</p>
<p>The auxiliary starting point led to the additional selection criterion for historical control patients. The study excluded patients from historical control groups who died before the auxiliary starting point (no patient in the base-case analysis; 10 patients in the sensitivity analysis using the generalized linear model).</p>
</sec>
<sec id="s2_4_2">
<label>2.4.2</label>
<title>Comparison of patient characteristics</title>
<p>The &#x3c7;<sup>2</sup> test was used for comparing categorical variables, while the Wilcoxon rank-sum test (or for PS-reweighted patient groups, the test for the linear regression coefficient for the study arm) was applied for continuous variables to compare patient characteristics between treatment arms.</p>
</sec>
<sec id="s2_4_3">
<label>2.4.3</label>
<title>Unadjusted comparison of OS</title>
<p>An unadjusted comparison of OS was conducted using the Kaplan-Meier analysis and a simple Cox model, with study group as the only covariate, employing robust variance estimators.</p>
<p>Sensitivity analyses were conducted for the following scenarios:</p>
<list list-type="bullet">
<list-item>
<p>dB without IL-2 treatment,</p></list-item>
<list-item>
<p>selection of dB study (each individual dB study vs the combined historical control group),</p></list-item>
<list-item>
<p>selection of historical control (dB studies combined vs each individual historical control),</p></list-item>
<list-item>
<p>inclusion of dB patients diagnosed up to 2009,</p></list-item>
<list-item>
<p>patient characteristics (subgroups analyzed):</p></list-item>
</list>
<list list-type="simple">
<list-item>
<p>o age at the starting point (4 age groups analyzed: &lt;2 years, 2&#x2013;5 years, 5&#x2013;10 years, &#x2265;10 years),</p></list-item>
<list-item>
<p>o time from diagnosis to the starting point (reflecting the interval between age at diagnosis and age at the starting point; terciles of total sample: below 2.3 years, 2.3 to 3.7 years, 3.7 years and more),</p></list-item>
<list-item>
<p>o age at diagnosis (2 groups: &lt;5 years, &#x2265;5 years),</p></list-item>
<list-item>
<p>o sex (male, female),</p></list-item>
<list-item>
<p>o MYCN status (3 groups analyzed separately: MYCN amplified, MYCN non-amplified, any known MYCN status &#x2013; excluding patients without MYCN status available),</p></list-item>
<list-item>
<p>o INSS stage (2 groups analyzed separately: stage 4 only, any stage excluding patients without INSS data available).</p></list-item>
</list>
</sec>
<sec id="s2_4_4">
<label>2.4.4</label>
<title>Adjusted comparison of OS: inverse probability or odds weighting</title>
<p>A population-adjusted comparison of OS with population adjustment using inverse probability or odds weighting was planned. PS reweighting was used for adjusted comparison to balance key baseline prognostic factors between groups (<xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>). The PS model included all baseline covariates with established or plausible prognostic impact on overall survival after relapse that were available across all cohorts. The following potential prognostic factors were considered in the PS assessment:</p>
<list list-type="bullet">
<list-item>
<p>time from diagnosis to the starting point (reflecting the interval between age at diagnosis and age at the starting point),</p></list-item>
<list-item>
<p>age at diagnosis,</p></list-item>
<list-item>
<p>sex (male, female),</p></list-item>
<list-item>
<p>MYCN status (amplified, not amplified, missing),</p></list-item>
<list-item>
<p>INSS stage (stage 4 or other).</p></list-item>
</list>
<p>Other clinically relevant factors (e.g., end-of-induction response, detailed histology, ALK status, single versus tandem transplant, duration of initial therapy, and the chemotherapy backbone used at relapse) were not collected in a harmonized way in the historical cohorts and therefore could not be incorporated into the PS model. For several of these, published evidence relates mainly to survival from diagnosis, and a persistent &#x2018;carry-over&#x2019; or legacy effect on overall survival after relapse, beyond time to relapse, age, stage and MYCN, has not been clearly demonstrated. We did not apply multiple imputation methods because several clinically important covariates (e.g. end-of-induction response, histology, ALK status, number of frontline anti-GD2 cycles, relapse regimen) were structurally missing in the historical cohorts and thus ineligible as PS covariates. Imputing such variables across arms would generate model-based pseudo-values without adding information for confounding control. For covariates included in the PS model, the proportion of missing values was small and was handled using categorical &#x2018;missing&#x2019; levels.</p>
<p>The selection and assessment of the models were based on the Box-Cox test, the Hosmer-Lemeshow test, and the log-likelihood. Interactions between variables were included if their inclusion substantially improved the fit of the model to the data, as assessed by the Hosmer-Lemeshow test. Reweighted IPD were analyzed using the Cox model (with study group as the only covariate; robust variance estimators) and the Kaplan-Meier method.</p>
</sec>
<sec id="s2_4_5">
<label>2.4.5</label>
<title>Adjusted comparison of OS: Cox model with grouping variable and confounders</title>
<p>A multivariable Cox model was planned to verify the results of the PS inverse probability or odds weighting model. The following potential covariates were considered in the model comparing dB to historical controls: time from diagnosis to the starting point, age at diagnosis, sex, MYCN status, and INSS stage.</p>
</sec>
<sec id="s2_4_6">
<label>2.4.6</label>
<title>Technical note</title>
<p>A p-value of less than 0.05 was considered significant. Data were analyzed using StataNow 19.5SE (StataCorp., College Station, TX, USA) and OriginPro 2025b (OriginLab, Northampton, MA, USA).</p>
</sec>
</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>Significant differences were observed before weighting between patients who received dB and historical controls not treated with dB across all assessed baseline characteristics except sex. These included age at the starting point, age at NBL diagnosis, year of diagnosis, time from diagnosis to the starting point, MYCN status, and INSS stage at diagnosis (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Characteristics of the study population by arm (before and after PS reweighting).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" colspan="3" align="center">Characteristic</th>
<th valign="middle" colspan="3" align="center">Before PS reweighting</th>
<th valign="middle" colspan="4" align="center">After PS reweighting</th>
</tr>
<tr>
<th valign="middle" align="center">dB (N = 144)</th>
<th valign="middle" align="center">Historical control (N = 82)</th>
<th valign="middle" align="center">P-value</th>
<th valign="middle" align="center">Characteristic</th>
<th valign="middle" align="center">dB (N = 144, &#x3a3;(w) = 228.7)</th>
<th valign="middle" align="center">Historical control (N = 82, &#x3a3;(w) = 203.8)</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="6" align="center">Age, years</td>
<td valign="middle" align="center">Median (IQR)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">7.96 (5.58 to 10.77)</td>
<td valign="middle" align="center">6.60 (5.25 to 7.72)</td>
<td valign="middle" align="center"><bold>0.004</bold></td>
<td valign="middle" align="center">Median</td>
<td valign="middle" align="center">7.1</td>
<td valign="middle" align="center">6.9</td>
<td valign="middle" align="center">0.661</td>
</tr>
<tr>
<td valign="middle" align="center">Mean (SD)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">8.64 (4.31)</td>
<td valign="middle" align="center">7.01 (2.8)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Mean (95% CI)</td>
<td valign="middle" align="center">8.0 (7.3 to 8.7)</td>
<td valign="middle" align="center">7.7 (6.3 to 9.1)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">n (%)</td>
<td valign="middle" align="center">&lt;2 years</td>
<td valign="middle" align="center">1 (0.7%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center"><bold>0.001</bold></td>
<td valign="middle" rowspan="4" align="center">%</td>
<td valign="middle" align="center">0.5%</td>
<td valign="middle" align="center">0.0%</td>
<td valign="middle" align="center"><bold>0.022</bold></td>
</tr>
<tr>
<td valign="middle" align="center">2 to 5 years</td>
<td valign="middle" align="center">25 (17.4%)</td>
<td valign="middle" align="center">17 (20.7%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">21.3%</td>
<td valign="middle" align="center">20.5%</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">5 to 10 years</td>
<td valign="middle" align="center">70 (48.6%)</td>
<td valign="middle" align="center">57 (69.5%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">52.2%</td>
<td valign="middle" align="center">65.1%</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">10 years and older</td>
<td valign="middle" align="center">48 (33.3%)</td>
<td valign="middle" align="center">8 (9.8%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">26.1%</td>
<td valign="middle" align="center">14.3%</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" rowspan="6" align="center">Age at diagnosis, years</td>
<td valign="middle" align="center">Median (IQR)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4.04 (2.47 to 5.75)</td>
<td valign="middle" align="center">3.74 (2.77 to 5.27)</td>
<td valign="middle" align="center">0.788</td>
<td valign="middle" align="center">Median</td>
<td valign="middle" align="center">3.8</td>
<td valign="middle" align="center">3.8</td>
<td valign="middle" align="center">0.991</td>
</tr>
<tr>
<td valign="middle" align="center">Mean (SD)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4.51 (3.14)</td>
<td valign="middle" align="center">4.19 (2.27)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Mean (95% CI)</td>
<td valign="middle" align="center">4.4 (3.9 to 4.9)</td>
<td valign="middle" align="center">4.4 (3.4 to 5.3)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">n (%)</td>
<td valign="middle" align="center">&lt;2 years</td>
<td valign="middle" align="center">25 (17.4%)</td>
<td valign="middle" align="center">12 (14.6%)</td>
<td valign="middle" align="center">0.448</td>
<td valign="middle" rowspan="4" align="center">%</td>
<td valign="middle" align="center">18.2%</td>
<td valign="middle" align="center">17.9%</td>
<td valign="middle" align="center">0.977</td>
</tr>
<tr>
<td valign="middle" align="center">2 to 5 years</td>
<td valign="middle" align="center">70 (48.6%)</td>
<td valign="middle" align="center">47 (57.3%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5.2%</td>
<td valign="middle" align="center">4.6%</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">5 to 10 years</td>
<td valign="middle" align="center">40 (27.8%)</td>
<td valign="middle" align="center">21 (25.6%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">49.3%</td>
<td valign="middle" align="center">51.3%</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">10 years and older</td>
<td valign="middle" align="center">9 (6.3%)</td>
<td valign="middle" align="center">2 (2.4%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">27.3%</td>
<td valign="middle" align="center">26.2%</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Year of diagnosis</td>
<td valign="middle" align="center">Median (IQR)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2009 (2008 to 2012)</td>
<td valign="middle" align="center">2003.5 (2002 to 2006)</td>
<td valign="middle" align="center"><bold>By design</bold></td>
<td valign="middle" align="center">Median</td>
<td valign="middle" align="center">2010</td>
<td valign="middle" align="center">2003</td>
<td valign="middle" align="center"><bold>By design</bold></td>
</tr>
<tr>
<td valign="middle" align="center">Mean (SD)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2009.5 (3.4)</td>
<td valign="middle" align="center">2004 (2.8)</td>
<td valign="middle" align="center"><bold>(0.001)</bold></td>
<td valign="middle" align="center">Mean (95% CI)</td>
<td valign="middle" align="center">2010.1 (2009.5 to 2010.6)</td>
<td valign="middle" align="center">2003.9 (2003.2 to 2004.5)</td>
<td valign="middle" align="center"><bold>(&lt;0.001)</bold></td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="center">Time from diagnosis, years</td>
<td valign="middle" align="center">Median (IQR)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3.01 (2.29 to 5.29)</td>
<td valign="middle" align="center">2.41 (2.02 to 2.91)</td>
<td valign="middle" align="center"><bold>0.001</bold></td>
<td valign="middle" align="center">Median</td>
<td valign="middle" align="center">2.7</td>
<td valign="middle" align="center">2.5</td>
<td valign="middle" align="center">0.338</td>
</tr>
<tr>
<td valign="middle" align="center">Mean (SD)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4.12 (2.75)</td>
<td valign="middle" align="center">2.82 (1.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Mean (95% CI)</td>
<td valign="middle" align="center">3.6 (3.3 to 4.0)</td>
<td valign="middle" align="center">3.3 (2.7 to 3.9)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">n (%)</td>
<td valign="middle" align="center">1<sup>st</sup> tercile (below 2.3 years)</td>
<td valign="middle" align="center">39 (27.1%)</td>
<td valign="middle" align="center">37 (45.1%)</td>
<td valign="middle" align="center"><bold>&lt;0.001</bold></td>
<td valign="middle" rowspan="3" align="center"><bold>%</bold></td>
<td valign="middle" align="center">33.4%</td>
<td valign="middle" align="center">37.7%</td>
<td valign="middle" align="center">0.582</td>
</tr>
<tr>
<td valign="middle" align="center">2<sup>nd</sup> tercile (2.3 to 3.7 years)</td>
<td valign="middle" align="center">44 (30.6%)</td>
<td valign="middle" align="center">31 (37.8%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">33.7%</td>
<td valign="middle" align="center">33.3%</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">3<sup>rd</sup> tercile (3.7 years and more)</td>
<td valign="middle" align="center">61 (42.4%)</td>
<td valign="middle" align="center">14 (17.1%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">32.9%</td>
<td valign="middle" align="center">29.0%</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Sex</td>
<td valign="middle" rowspan="2" align="center">n (%)</td>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">82 (56.9%)</td>
<td valign="middle" align="center">55 (67.1%)</td>
<td valign="middle" align="center">0.134</td>
<td valign="middle" rowspan="2" align="center">%</td>
<td valign="middle" align="center">60.7%</td>
<td valign="middle" align="center">59.7%</td>
<td valign="middle" align="center">0.824</td>
</tr>
<tr>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">62 (43.1%)</td>
<td valign="middle" align="center">27 (32.9%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">39.3%</td>
<td valign="middle" align="center">40.3%</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">MYCN status</td>
<td valign="middle" rowspan="3" align="center">n (%)</td>
<td valign="middle" align="center">not amplified</td>
<td valign="middle" align="center">117 (81.3%)</td>
<td valign="middle" align="center">52 (63.4%)</td>
<td valign="middle" align="center"><bold>0.006</bold></td>
<td valign="middle" rowspan="3" align="center">%</td>
<td valign="middle" align="center">73.4%</td>
<td valign="middle" align="center">64.9%</td>
<td valign="middle" align="center">0.164</td>
</tr>
<tr>
<td valign="middle" align="center">amplified</td>
<td valign="middle" align="center">18 (12.5%)</td>
<td valign="middle" align="center">24 (29.3%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">20.2%</td>
<td valign="middle" align="center">26.7%</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">missing</td>
<td valign="middle" align="center">9 (6.3%)</td>
<td valign="middle" align="center">6 (7.3%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">6.5%</td>
<td valign="middle" align="center">8.4%</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">INSS stage at diagnosis</td>
<td valign="middle" rowspan="2" align="center">n (%)</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">108 (75%)</td>
<td valign="middle" align="center">79 (96.3%)</td>
<td valign="middle" align="center"><bold>&lt;0.001</bold></td>
<td valign="middle" rowspan="2" align="center">%</td>
<td valign="middle" align="center">83.0%</td>
<td valign="middle" align="center">87.6%</td>
<td valign="middle" align="center">0.184</td>
</tr>
<tr>
<td valign="middle" align="center">Others <sup>A</sup> (1, 2A, 2B, 3, 4S, missing)</td>
<td valign="middle" align="center">36 (25%)</td>
<td valign="middle" align="center">3 (3.7%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">17.0%</td>
<td valign="middle" align="center">12.4%</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p><sup>A</sup> combined due to the unequal distribution of each stage between arms. CI, confidence interval; INSS, International Neuroblastoma Staging System; IQR, interquartile range; MYCN, m<bold>y</bold>elo<bold>c</bold>ytomatosis related oncogene <bold>n</bold>euroblastoma; PS, propensity score; SD, standard deviation. &#x3a3;(w), sum of weights.p-values below 0.05 are indicated in bold.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>No significant differences were found after PS reweighting between patients who received dB and historical controls across all assessed baseline characteristics except the year of diagnosis. These included age at starting point, age at NBL diagnosis, time from diagnosis to the starting point, sex, MYCN status, and INSS stage at diagnosis.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Unadjusted comparison</title>
<p>The results of the base-case unadjusted indirect comparison (with data before PS reweighting) revealed that dB significantly prolonged OS compared to historical controls without dB treatment (hazard ratio [HR] = 0.43; 95% confidence interval [CI]: 0.31&#x2013;0.79; p&lt;0.001; <xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>). A clear separation of the Kaplan-Meier curves between the dB and historical control groups was evident from the first months of follow-up (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). The results of the unadjusted sensitivity analyses across various scenarios and subgroups were consistent with the base-case comparison, except the subgroup with age &#x2265;10 years at the start (non-significant dB benefit) and time from diagnosis to the starting point equal or greater than 3.7 years (non-significant control benefit), both of which included &lt;10 events in control arm (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Unadjusted comparison of OS between dB and historical controls in relapsed neuroblastoma.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Parameter</th>
<th valign="middle" align="center">Unadjusted comparison: dB vs historical controls</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Log-rank test, p-value</td>
<td valign="middle" align="center"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="center">Cox model: HR (95% CI)</td>
<td valign="middle" align="center">0.43 (0.31 to 0.79)</td>
</tr>
<tr>
<td valign="middle" align="center">Cox model: p-value</td>
<td valign="middle" align="center"><bold>&lt;0.001</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>dB, dinutuximab beta; CI, confidence interval; HR, hazard ratio.p-values below 0.05 are indicated in bold.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Kaplan-Meier plot showing the unadjusted and adjusted (propensity weighted) comparison of OS between dinutuximab beta (dB) and historical controls in relapsed neuroblastoma &#x2013; base-case analysis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1736165-g001.tif">
<alt-text content-type="machine-generated">A Kaplan-Meier survival curve showing the probability of being alive over nine years. Four lines represent different groups: control (unadjusted) in yellow, dB (unadjusted) in blue, control (PS weighted) in red, and dB (PS weighted) in green. The x-axis indicates overall survival time in years, and the y-axis indicates the probability of survival. Each line includes censored data points marked with vertical ticks.</alt-text>
</graphic></fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Sensitivity analyses of the unadjusted comparison of OS between dinutuximab beta (dB) and historical controls. HR (95% CI) and p-value from Cox models, with the number of events/patients for each arm.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1736165-g002.tif">
<alt-text content-type="machine-generated">Forest plot illustrating hazard ratios (HR), confidence intervals (CI), and p-values for different comparison scenarios between dinutuximab beta and the historical control group. Scenarios include different patient age groups, time from diagnosis, and genetic markers. The plot displays HR, CI, p-value, and sample size for both control and dB groups, indicating significant differences in most cases. A red vertical line at 1.0 distinguishes significance, with most HRs less than 1.0, implying reduced risk under tested scenarios.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Adjusted comparison: PS inverse probability or odds reweighting</title>
<p>The results of the base-case adjusted indirect comparison revealed that dB significantly prolonged OS compared to the historical control group not treated with dB (HR = 0.53; 95% CI: 0.35&#x2013;0.79; p=0.002). A clear separation of the Kaplan-Meier curves between the dB and historical control groups was maintained after PS reweighting (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). Sensitivity analyses yielded results consistent with the base-case analysis (<xref ref-type="table" rid="T6"><bold>Table&#xa0;6</bold></xref>, <xref ref-type="supplementary-material" rid="SF2"><bold>Supplementary Table&#xa0;2</bold></xref>).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Scenario analyses of the population-adjusted comparison of OS between dB and historical controls.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Scenario</th>
<th valign="middle" align="center">Cox model: HR (95% CI), p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">The starting point estimated from the GLM (starting point calculated using reliable method, but 10 patients excluded from the control arm, i.e. those who died before the new starting point)</td>
<td valign="middle" align="center">0.55 (0.36&#x2013;0.84), <bold>0.006</bold></td>
</tr>
<tr>
<td valign="middle" align="center">dB without IL-2 (the impact of which on treatment benefits is not supported by evidence)</td>
<td valign="middle" align="center">0.48 (0.24&#x2013;0.99), <bold>0.047</bold></td>
</tr>
<tr>
<td valign="middle" align="center">R1 control only (prospectively collected control arm only)</td>
<td valign="middle" align="center">0.61 (0.38&#x2013;0.97), <bold>0.038</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>p-values below 0.05 are indicated in bold.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Adjusted comparison: Cox model with confounders</title>
<p>The multivariable Cox model (<xref ref-type="supplementary-material" rid="SF3"><bold>Supplementary Table&#xa0;3</bold></xref>) indicated that dB treatment was associated with a 49% reduction in the HR of death compared to historical controls. The HR adjusted for patient characteristics (including sex, MYCN status, INSS, age at diagnosis, and time from diagnosis to the starting point) was estimated at 0.51 (95% CI: 0.35&#x2013;0.73; p&lt;0.001). This result was consistent with that obtained from the PS reweighting analysis, thereby supporting the validity of the PS-based findings.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Despite the growing body of clinical and real-world evidence, head-to-head comparisons between dB (with or without IL-2) and no dB treatment in the maintenance setting for patients with relapsed NBL are lacking. This absence is primarily due to ethical constraints, as a randomized controlled trial by Yu et&#xa0;al. (2010) (<xref ref-type="bibr" rid="B23">23</xref>) demonstrated that the addition of an anti-GD2 antibody (dinutuximab), combined with granulocyte-macrophage colony-stimulating factor and IL-2, to isotretinoin following intensive multimodal therapy significantly improves survival outcomes in patients with HR-NBL. Thus, the objective of our analysis was to conduct an indirect comparison of the efficacy of dB in maintenance treatment versus no anti-GD2 treatment in the population of patients with relapsed NBL. The only feasible analysis was an unanchored indirect comparison using available IPD from dB studies (APN311-202 (<xref ref-type="bibr" rid="B18">18</xref>), APN311-304 (<xref ref-type="bibr" rid="B37">37</xref>) and APN311-303 (<xref ref-type="bibr" rid="B18">18</xref>)) and from historical cohorts of untreated patients, including the INBR control from Garaventa et&#xa0;al. (2009) (<xref ref-type="bibr" rid="B33">33</xref>) and the R1 control from the HR-NBL-1/SIOPEN study (<xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>Newly available clinical study reports enabled the pooling of data from 144 patients treated with dB, with or without IL-2, and 82 historical control patients who did not receive immunotherapy, a uniquely large sample with extended follow-up, given the rarity of NBL (<xref ref-type="bibr" rid="B44">44</xref>). Considering that this population consists exclusively of patients with relapsed disease, recruiting large cohorts for prospective trials poses substantial challenges. In other studies investigating dB use in relapsed/refractory NBL, the number of enrolled patients did not exceed 70 (<xref ref-type="bibr" rid="B25">25</xref>). Moreover, previously published indirect comparisons of dB versus no dB treatment in the relapsed setting, including those originally conducted for the European Medicines Agency (<xref ref-type="bibr" rid="B18">18</xref>) (as reported in the European Public Assessment Report) encompassed significantly fewer patients. These comparisons were limited to studies such as APN311&#x2013;303 and APN311-202 (N = 48 in both) (<xref ref-type="bibr" rid="B18">18</xref>), or the analysis by Mueller et&#xa0;al. (2018) (<xref ref-type="bibr" rid="B30">30</xref>), which included 29 patients on dB treatment versus 27 control patients from the AIEOP database.</p>
<p>In our study, harmonized inclusion criteria were applied across all study populations, enhancing the likelihood of selecting patients with comparable known and unknown characteristics from different data sources. A two-stage adjustment process (i.e., selection of appropriate patients based on the harmonized criteria, followed by adjustment for key baseline characteristics) enabled a reliable comparison. Significant differences were found in key baseline characteristics (i.e., age, age at NBL diagnosis, year of diagnosis, time from diagnosis to the starting point, MYCN status, and INSS stage at diagnosis) between patients from the dB arm and historical controls. However, these differences were well balanced after PS reweighing. The only baseline parameter that remained insufficiently balanced was year of diagnosis. This imbalance was expected, as the studies on dB use and those involving historical control cohorts were conducted using different designs and during different time periods, making alignment on year of diagnosis unfeasible. Almost half of dB patients (n=71, 49%) were diagnosed after 2009, while control patients were diagnosed between 1999 and 2009. Over the years, the standard of care may have improved (apart from better availability of anti-GD2 treatments) for patients diagnosed later. This advancement may be partially responsible for the observed improved OS in dB-treated patients, which constitutes a limitation of our analysis. However, the resulting bias is unlikely to be clinically meaningful, given the lack of effective treatments in the setting of multiple relapses. While chemoimmunotherapy with dB has been shown to improve survival outcomes (<xref ref-type="bibr" rid="B45">45</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>), its wider adoption occurred after the completion of the studies included in this analysis.</p>
<p>Another limitation of this study is the difference in response to induction therapy between patients in the R1 control group and those in the INBR control group. In the R1 group, only patients who experienced relapse after achieving an initial complete response were included in this analysis (based on IPD availability), whereas the INBR group included all relapsed patients with any prior response (both partial and complete responses). In the dB studies patients with both complete and partial response were included. It is well established that individuals with a prior partial response generally have a poorer prognosis compared to those who achieved a complete response. Therefore, the inclusion of only those R1 patients, who were required to have achieved a CR, in the pooled analysis may have led to an underestimation of the survival benefit associated with dB. Furthermore, the limited availability of information on historical control patients prevented full adjustment for baseline differences between groups, such as prior treatment history, number of previous relapses or progressions, and subsequent treatments. Therefore, residual confounding cannot be excluded. We adjusted for the main post-relapse prognostic factors, but other clinically important variables (end-of-induction response, detailed histology, ALK status, tandem transplant was not done in that era at all type of transplant, number of frontline anti-GD2 cycles, chemotherapy backbone at relapse) were not available in a harmonized form. For several of these, robust evidence for an independent &#x2018;carry-over&#x2019; effect on OS after relapse, beyond time to relapse, age, INSS and MYCN, is lacking, yet some residual confounding is likely.</p>
<p>The only assessed endpoint was OS, which is considered the gold standard for evaluating the clinical benefit of cancer therapy, particularly in the absence of cross-over. Overall survival is straightforward to measure and is not subject to investigator bias. However, treatment efficacy may be influenced by subsequent therapeutic interventions, specifically those administered after relapse, which can vary across clinical settings. Consequently, data necessary to balance patient populations based on post-progression treatments were not available (<xref ref-type="bibr" rid="B50">50</xref>).</p>
<p>In dB studies, OS was defined as the time from the initiation of dB treatment to death. On the other hand, for historical control patients, OS was originally calculated from the date of the last relapse. To correct for differences between dB studies and historical control groups in the base-case analysis, the starting point was estimated by adding 269 days (i.e., the median time between the first relapse and the start of dB and/or IL-2 treatment for patients from the APN311&#x2013;202 study) to the date of relapse in the historical control groups. A limitation of this analysis is that it cannot be ruled out that some historical control patients may have received an anti-GD2 agent as part of other studies. If anti-GD2 therapy positively influences OS, then the inclusion of such patients in the control group would likely attenuate the observed difference in OS between the treatment and control groups.</p>
<p>Progression-free survival could not be defined consistently because dates and criteria for progression after relapse were incompletely and non-uniformly recorded in the historical cohorts. Consequently, overall survival from first relapse was used as the primary comparative endpoint.</p>
<p>The results of both unadjusted and adjusted indirect treatment comparisons revealed a significant improvement in OS with dB therapy, with or without IL-2, compared to historical controls not treated with dB. This risk of death was reduced by 57% in the unadjusted comparison and by 47% in the adjusted analysis. Additionally, 24 unadjusted and 3 adjusted sensitivity analyses were consistent with the primary findings and confirmed a significant survival benefit of dB over no immunotherapy. Sensitivity analyses examining the concomitant use of IL-2 indicated that the survival benefit of dB without IL-2 was comparable to that of dB with or without IL-2.</p>
<p>The results obtained in this analysis are consistent with previous indirect comparisons of dB versus historical controls, as presented in the European Public Assessment Report for dB (<xref ref-type="bibr" rid="B18">18</xref>). In that analysis, the proportion of patients remaining alive at 3 years was nearly twice as high in the dB-treated group (from the APN311&#x2013;202 and APN311&#x2013;303 studies) compared to historical controls (R1 (<xref ref-type="bibr" rid="B34">34</xref>) and Garaventa et&#xa0;al. (<xref ref-type="bibr" rid="B33">33</xref>)) who did not receive immunotherapy in the relapsed NBL population. Similar results were reported by Mueller et&#xa0;al. (2018) (<xref ref-type="bibr" rid="B30">30</xref>) for the APN311&#x2013;303 study alone, in which the 3-year survival rate among patients with relapsed NBL treated with dB was twice as high as that of patients not treated with dB in the historical control cohort from the AEIOP database (54% vs 26%). As reported in the analysis by Wex et&#xa0;al. (2023), the comparison of dB plus IL-2 with the control cohort from the AEIOP database based on earlier data yielded a HR for OS of 0.43 (95% CI: 0.24&#x2013;0.78); p=0.00542), while the HR of 0.56 (95% CI: 0.32&#x2013;0.97; p=0.0376) was reported for comparison with the R1 control group (<xref ref-type="bibr" rid="B51">51</xref>).</p>
<p>A similarly beneficial effect on OS was demonstrated in primary studies evaluating anti-GD2 therapy in other subpopulations of patients with NBL, where immunotherapy was the primary intervention in the treatment group. In a meta-analysis by Khan et&#xa0;al. (2024) (<xref ref-type="bibr" rid="B52">52</xref>), dinutuximab was associated with a significant reduction in overall mortality, with a pooled relative risk of 0.41 (95% CI, 0.22&#x2013;0.75; p = 0.004), and improved 5-year event-free survival among patients diagnosed with HR-NBL compared to alternative treatment modalities. Similarly, in the study by Ladenstein et&#xa0;al. (2020) (<xref ref-type="bibr" rid="B8">8</xref>), the 5-year event-free survival and OS rates for patients with HR-NBL who did not receive immunotherapy were 42% and 50%, respectively, whereas for those treated with dB, the rates were 57% and 64%, respectively (p&lt;0.001) with the corresponding OS HR = 0.70 (95% CI: 0.54-0.91); p=0.0071 (<xref ref-type="bibr" rid="B53">53</xref>). Also, a retrospective observational study from Saudi Arabia (<xref ref-type="bibr" rid="B54">54</xref>) demonstrated that dB significantly improves survival outcomes in children with HR-NBL as compared with a control cohort, with a median OS of 46.88 months vs 15.91 months (p=0.001). Real World Evidence from the Netherlands Cancer Registry similarly confirmed efficacy of anti-GD2 therapy relative to non-immunotherapy control, adjusting for potential change in clinical practice, with HR = 0.37 (95% CI: 0.19-0.72); p &lt;0.01 (<xref ref-type="bibr" rid="B55">55</xref>).</p>
<p>A factor that can potentially impact the magnitude of the treatment effect of dB in relapsed patients is prior exposure to dB or other anti-GD2 immunotherapies. Such an effect could be mediated through the presence of anti-drug antibodies or a reduced expression of GD2 antigen after relapse. Currently no clinical evidence is available allowing to confirm this effect, but anti-anti-GD2 antibodies were detected in patients treated with anti-GD2 immunotherapy with unknown clinical effect (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B54">54</xref>), while high GD2 expression was reported to persist after relapse (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>). Complete or partial loss of GD2 expression was found in only 10-12% of neuroblastoma cells from bone marrow, with no clear relationship between GD2 expression and ADCC, suggesting that other mechanisms play more important role in developing resistance to treatment (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>). While it can be assumed that on multiple exposure, efficacy of anti-GD2 diminishes in some patients, our analysis demonstrates a high effect size, unlikely to be markedly reduced on re-treatment. Limited evidence suggests continued efficacy or anti-GD2 immunotherapies after prior exposure (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B61">61</xref>).</p>
<p>We lacked sufficiently detailed data to quantify prior anti-GD2 exposure in the DB cohort (some APN311 studies permitted enrolment of patients with prior anti-GD2 therapy provided no anti-DB antibodies were present). If prior anti-GD2 reduces the effectiveness of subsequent anti-GD2-based therapy at relapse, any such unmeasured exposure would be expected to bias our comparison toward the null, so the observed OS benefit associated with DB is likely conservative.</p>
<p>It should be noted that in all studies included in the indirect comparison, patients received dB via long-term infusion (LTI), administered over 10 days. LTI has been shown to provide a significantly greater survival benefit compared to short-term infusion, which is administered over 5 days, in patients with HR-NBL (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B62">62</xref>). In addition, LTI is associated with a more favorable safety profile, including lower pain scores, reduced intravenous morphine use, and a lower incidence of grade &#x2265;3 adverse events, which supports its feasibility in outpatient settings (<xref ref-type="bibr" rid="B30">30</xref>). These findings further support the use of LTI of dB, as recommended by SIOPEN, including in patients with relapsed/refractory NBL.</p>
<p>Although indirect comparisons do not represent the highest level of clinical evidence, they are commonly used in the assessment of treatments for reimbursement decisions. Regulatory authorities also accept evidence from single-arm studies using historical controls, as demonstrated by the recent approval of eflornithine by the U.S. Food and Drug Administration for first-line post-maintenance therapy in NBL (<xref ref-type="bibr" rid="B63">63</xref>). As confirmatory randomized studies comparing anti-GD2 therapies to treatment without immunotherapy are no longer considered for ethical reasons, this comparison constitutes best available comparative evidence informing clinical and reimbursement decisions.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>Indirect comparisons inherently carry certain unavoidable methodological limitations due to differences in clinical experiences, which may affect the reliability of the results. Despite these limitations, and the inability to fully balance baseline characteristics across all potential prognostic factors, such as prior treatments or therapies received after progression, this study provides a robust comparison of OS in a context where conducting a parallel prospective trial of dB with a placebo control would not be ethically feasible. In this analysis, patients with relapsed NBL treated with dB were shown to have almost half lower risk of death compared to historical control patients. The magnitude of this treatment effect supports the efficacy of dB as maintenance therapy of NBL patients after relapse, even in the presence of potential biases. Unadjusted comparisons and multiple sensitivity analyses further confirmed these findings, reinforcing the strength of the conclusion.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>Ethical approval was not required for the study involving humans in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was not required from the participants or the participants&#x2019; legal guardians in accordance with the national legislation and the institutional requirements.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>HL: Writing &#x2013; original draft, Data curation, Conceptualization, Supervision, Methodology, Project administration. PH: Writing &#x2013; review &amp; editing, Formal analysis, Writing &#x2013; original draft, Software, Methodology, Visualization, Conceptualization, Validation. AW: Writing &#x2013; review &amp; editing, Methodology. K&#x15a;: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Methodology, Formal analysis. NS: Writing &#x2013; review &amp; editing, Data curation. DV: Data curation, Writing &#x2013; review &amp; editing. AG: Data curation, Writing &#x2013; review &amp; editing. AC: Data curation, Writing &#x2013; review &amp; editing. JA: Data curation, Writing &#x2013; review &amp; editing. IY: Data curation, Writing &#x2013; review &amp; editing. SA: Writing &#x2013; review &amp; editing, Data curation. LM: Writing &#x2013; review &amp; editing, Data curation. JG: Writing &#x2013; review &amp; editing, Data curation. RL: Writing &#x2013; review &amp; editing, Data curation. GL: Writing &#x2013; review &amp; editing, Data curation. CO: Writing &#x2013; review &amp; editing, Data curation. CM: Writing &#x2013; review &amp; editing, Data curation. ST: Writing &#x2013; review &amp; editing, Data curation. PK: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Project administration, Supervision, Methodology. RLL: Data curation, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>HL, AW, K&#x15a;, PK, and PH have acted as consultants and participated in advisory boards organized by EUSA Pharma/Recordati Rare Diseases. PK and PH received payment from Recordati Ltd for consultancy. JG has been a member of a DMC for a trial sponsored by YmAbs Therapeutics, and has had previous consulting/advisory board roles for EUSA Pharma, YmAbs Therapeutics, Celgene, Norgine and Abbvie. RL received travel reimbursement from Recordati Rare Diseases.  JG has had previous consulting/advisory board roles for EUSA Pharma, R.L. (Roberto Luksch) received travel reimbursement from Recordati Rare Diseases. DV reports grants from EUSA Pharma RRD. HL reports personal fees from Recordati Rare Diseases. AC reports personal fees from Recordati Rare Diseases. JG reports grants, personal fees, and other support from Recordati Rare Diseases. ST reports grants from EUSA Pharma. RL reports personal fees and other support from APEIRON. RLL and HL acted as consultants for APEIRON on behalf of SIOPEN for the ch14.18/CHO development. The other authors declare no conflict of interest.</p>
<p>The remaining author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author HL declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p></sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<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="s13" 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/fonc.2025.1736165/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2025.1736165/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"><label>Supplementary Table&#xa0;1</label>
<caption>
<p>Sensitivity analyses: scenario analyses and subgroup analyses of the unadjusted comparison of OS between dB and historical controls.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.pdf" id="SF2" mimetype="application/pdf"><label>Supplementary Table&#xa0;2</label>
<caption>
<p>Results of the multivariable Cox model.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.pdf" id="SF3" mimetype="application/pdf"><label>Supplementary Table&#xa0;3</label>
<caption>
<p>Scenario analyses of the population-adjusted comparison of OS between dB and historical controls.</p>
</caption></supplementary-material></sec>
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<p>Associazione Italiana di Ematologia e Oncologia Pediatrica</p></def></def-item><def-item><term>dB</term><def>
<p>dinutuximab beta</p></def></def-item><def-item><term>CI</term><def>
<p>confidence interval</p></def></def-item><def-item><term>CHO</term><def>
<p>Chinese hamster ovary cells</p></def></def-item><def-item><term>GD-2</term><def>
<p>disialoganglioside-2</p></def></def-item><def-item><term>HR</term><def>
<p>hazard ratio</p></def></def-item><def-item><term>HR-NBL</term><def>
<p>high-risk neuroblastoma</p></def></def-item><def-item><term>INBR</term><def>
<p>Italian Neuroblastoma Registry</p></def></def-item><def-item><term>INSS</term><def>
<p>International Neuroblastoma Staging System</p></def></def-item><def-item><term>NBL</term><def>
<p>neuroblastoma</p></def></def-item><def-item><term>IL-2</term><def>
<p>interleukin-2 (aldesleukin)</p></def></def-item><def-item><term>IPD</term><def>
<p>individual patient data</p></def></def-item><def-item><term>IQR</term><def>
<p>interquartile range</p></def></def-item><def-item><term>IU</term><def>
<p>international unit</p></def></def-item><def-item><term>LTI</term><def>
<p>long-term infusion</p></def></def-item><def-item><term>MAT</term><def>
<p>myeloablative therapy</p></def></def-item><def-item><term>MYCN</term><def>
<p>myelocytomatosis related oncogene neuroblastoma</p></def></def-item><def-item><term>OS</term><def>
<p>overall survival</p></def></def-item><def-item><term>PS</term><def>
<p>propensity score</p></def></def-item><def-item><term>SC</term><def>
<p>subcutaneous</p></def></def-item><def-item><term>SCT</term><def>
<p>stem cell transplantation</p></def></def-item><def-item><term>SD</term><def>
<p>standard deviation</p></def></def-item></def-list></glossary>
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<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3297958">Andrew Wahba</ext-link>, Baylor College of Medicine, United States</p></fn>
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