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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1744165</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The addition of CD38 monoclonal antibody to triplet regimens improves survival in newly diagnosed multiple myeloma with high-risk cytogenetics: a systematic review and meta-analysis of randomized controlled trials</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Hu</surname><given-names>Bin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Fang</surname><given-names>Dan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Jiang</surname><given-names>Ling</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Li</surname><given-names>Tianqi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Chen</surname><given-names>Kexia</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Cao</surname><given-names>Jinxia</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" corresp="yes">
<name><surname>Wang</surname><given-names>Jun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2046520/overview"/>
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<aff id="aff1"><label>1</label><institution>Department of Hematology, Changde Hospital, Xiangya School of Medicine, Central South University (First People&#x2019;s Hospital of Changde City)</institution>, <city>Changde</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Oncology, Changde Hospital, Xiangya School of Medicine, Central South University (First People&#x2019;s Hospital of Changde City)</institution>, <city>Changde</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Jun Wang, <email xlink:href="mailto:angela80824w@sina.com">angela80824w@sina.com</email>; Jinxia Cao, <email xlink:href="mailto:Valentina8805@163.com">Valentina8805@163.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-06">
<day>06</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1744165</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>05</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Hu, Fang, Jiang, Li, Chen, Cao and Wang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Hu, Fang, Jiang, Li, Chen, Cao and Wang</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-06">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The efficacy of CD38 monoclonal antibody (mAb)-based quadruplet regimens versus triplet regimens in newly diagnosed multiple myeloma (NDMM) patients with high-risk cytogenetics remains controversial. This meta-analysis aims to consolidate evidence from randomized controlled trials (RCTs) to resolve this clinical uncertainty.</p>
</sec>
<sec>
<title>Methods</title>
<p>We systematically searched PubMed, EMBASE, and the Cochrane Library for RCTs comparing CD38 mAb-based quadruplet regimens with triplet regimens in NDMM patients with high-risk cytogenetics. The primary outcomes were the rate of minimal residual disease (MRD) negativity at a sensitivity of 10<sup>-5</sup> and progression-free survival (PFS).</p>
</sec>
<sec>
<title>Results</title>
<p>Nine RCTs comprising 4557 patients were included. Compared to triplet regimens, CD38 mAb-based quadruplet regimens were associated with a significantly higher rate of MRD negativity (pooled OR = 2.02, 95% CI: 1.41-2.88, P = 0.0001) and a significantly improved PFS (pooled HR = 0.74, 95% CI: 0.59-0.94, P = 0.01). However, subgroup analyses revealed that the PFS benefit was not significant for isatuximab-based quadruplet regimens (pooled HR = 1.04, 95% CI: 0.67-1.62, P = 0.84) or in transplant-ineligible patients (pooled HR = 0.79, 95% CI: 0.56-1.13, P = 0.19).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The incorporation of CD38 mAbs, particularly daratumumab, into triplet regimens improves depth of response and PFS in NDMM patients with high-risk cytogenetics.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p><ext-link ext-link-type="uri" xlink:href="https://inplasy.com/inplasy-2025-10-0103/">https://inplasy.com/inplasy-2025-10-0103/</ext-link></p>
<p>, identifier INPLASY2025100103.</p>
</sec>
</abstract>
<kwd-group>
<kwd>CD38 monoclonal antibodies</kwd>
<kwd>high-risk cytogenetics</kwd>
<kwd>meta-analysis</kwd>
<kwd>multiple myeloma</kwd>
<kwd>quadruplet regimens</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication. This study is funded by Hunan Provincial Natural Science Foundation of China (Grant No.2024JJ7004).</funding-statement>
</funding-group>
<counts>
<fig-count count="7"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="10"/>
<word-count count="4208"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>For patients with newly diagnosed multiple myeloma (NDMM), a triplet regimen consisting of a proteasome inhibitor, an immunomodulatory agent, and dexamethasone was the standard induction therapy (<xref ref-type="bibr" rid="B1">1</xref>). CD38 monoclonal antibodies (mAbs), such as daratumumab and isatuximab, exert their effects through multiple mechanisms, including Fc-dependent immune effector activity, direct pro-apoptotic effects, and immunomodulation via the elimination of CD38-expressing immunosuppressive cells (<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>). These multifaceted actions contribute to their significant cytotoxicity against multiple myeloma (MM) cells (<xref ref-type="bibr" rid="B5">5</xref>). The addition of a CD38 mAb to a backbone triplet regimen has led to the establishment of quadruplet therapies, which have now become widely adopted as induction therapy for NDMM (<xref ref-type="bibr" rid="B6">6</xref>). The phase 3 PERSEUS study demonstrated that adding daratumumab to bortezomib-lenalidomide-dexamethasone (VRd) induction significantly improved progression-free survival (PFS) in patients with NDMM (hazard ratio [HR] for disease progression or death = 0.42; 95% confidence interval [CI]: 0.30-0.59; P&lt;0.001) (<xref ref-type="bibr" rid="B7">7</xref>). Similarly, the phase 3 IMROZ trial showed that first-line isatuximab in combination with VRd significantly improved PFS (HR = 0.6, 98.5% CI: 0.41-0.88; p&lt;0.001) and induced deeper responses compared to VRd alone (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Collectively, this clinical evidence has established CD38 mAb-based quadruplet regimens as the new standard induction therapy, superseding conventional triplet regimens (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Although the addition of CD38 mAbs to triplet regimens is associated with longer survival, this benefit is not consistent across all subgroups, particularly in NDMM patients with high-risk cytogenetics, a category which the 2016 International Myeloma Working Group (IMWG) consensus defined by identifying del(17p), t(4,14), and t(14,16) as primary lesions while also recognizing gain(1q) associated with del(1p) carrying poor risk (<xref ref-type="bibr" rid="B11">11</xref>). The 2025 IMWG consensus introduces a more sophisticated combinatorial definition of high-risk disease. Key changes include a stricter cutoff for del(17p) and, most notably, the reclassification of IgH translocations [t(4,14), t(14,16), or t(14,20)] to the high risk tier only when they co-occur with gain(1q) and/or del(1p32). The presence of monoallelic del(1p32) along with gain(1q) or biallelic del(1p32) is directly designated as high-risk cytogenetics (<xref ref-type="bibr" rid="B12">12</xref>). Among the currently reported clinical studies in NDMM patients with high-risk cytogenetics, the phase 3 PERSEUS trial (<xref ref-type="bibr" rid="B7">7</xref>) stands out as the only one to demonstrate that the addition of daratumumab significantly improved PFS. In contrast, other trials, including ALCYONE (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>), AMaRC 03-16 (<xref ref-type="bibr" rid="B16">16</xref>), CASSIOPEIA (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>), CEPHEUS (<xref ref-type="bibr" rid="B20">20</xref>), GRIFFIN (<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>), and OCTANS (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>), found that the addition of daratumumab did not confer a significant PFS benefit in these patients. Moreover, in both the GMMG-HD7 (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>) and IMROZ (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>) trials, the isatuximab-based quadruplet regimen did not demonstrate superior PFS compared to triplet therapy in the high-risk cytogenetic subgroup.</p>
<p>The optimal induction therapy for NDMM patients with high-risk cytogenetics remains controversial, specifically whether a CD38 mAb-based quadruplet regimen or a conventional triplet regimen is preferable. Aggregating data from multiple randomized controlled trials (RCTs) through a meta-analysis represents a robust approach&#xa0;to resolve this ongoing debate. Therefore, we conducted this meta-analysis to systematically compare the efficacy of CD38 mAb-based quadruplet regimens versus triplet therapies in this patient population.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Search strategy</title>
<p>Two independent investigators systematically performed literature searches across multiple electronic databases, including PubMed, EMBASE, and the Cochrane Library. The inclusion criteria were restricted to published RCTs with accessible full-text articles. Non-English studies, unpublished or ongoing trials were&#xa0;excluded in our study. To ensure comprehensive coverage, the reference lists of all eligible publications were manually examined to identify other potentially relevant studies. The search encompassed all available literature published through October 2025. The complete search methodology is detailed in the Supplementary information.</p>
</sec>
<sec id="s2_2">
<title>Selection criteria</title>
<p>The identified studies underwent independent assessment by&#xa0;two reviewers. Studies were included if they met the following criteria:</p>
<list list-type="bullet">
<list-item>
<p>research design: RCTs;</p></list-item>
<list-item>
<p>participants: NDMM patients with high-risk cytogenetics;</p></list-item>
<list-item>
<p>intervention: CD38 mAb-based quadruplet regimens versus triplet regimens;</p></list-item>
<list-item>
<p>outcomes: the rate of negative status for MRD (10&#x2013;<sup>5</sup> threshold) and PFS.</p></list-item>
</list>
</sec>
<sec id="s2_3">
<title>Data extraction</title>
<p>Two reviewers independently executed data extraction for the included RCTs, covering detailed medication schedules, drug dosages, cytogenetic risks related data (criteria for high-risk cytogenetics, cutoffs, and methods), MRD related data (time point, sample source, methods, and sensitivity), and survival outcomes.</p>
</sec>
<sec id="s2_4">
<title>Methodological quality appraisal</title>
<p>Two independent reviewers evaluated the methodological quality of all included studies. The Cochrane Collaboration&#x2019;s Risk of Bias tool (<xref ref-type="bibr" rid="B28">28</xref>) was utilized to assess the quality of the randomized controlled trials.</p>
</sec>
<sec id="s2_5">
<title>Outcomes assessments</title>
<p>The objective was to compare the negative MRD status rate and PFS between the two arms.</p>
</sec>
<sec id="s2_6">
<title>Statistical analysis</title>
<p>We utilized RevMan 5.4 for analyses. Study heterogeneity was examined with the I&#xb2; statistic, which interpreted values of 25%-50% as low, 50%-75% as moderate, and &gt;75% as high. Given the anticipated clinical and methodological diversity across the included trials, the random-effects model was pre-specified as our primary analytical framework. This model provides a more conservative and generalizable estimate by accounting for both within-study and between-study variability. A fixed-effect model was only considered appropriate in scenarios where both the I&#xb2; statistic indicated negligible heterogeneity (I&#xb2; &#x2264; 25%) and the studies were qualitatively judged to be highly homogeneous in their design and patient cohorts.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Selection of the trials</title>
<p>The protocol for identifying, screening, and selecting relevant literature is illustrated in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>. The systematic search initially identified 5504 records. Through the application of inclusion criteria, 18 publications from 9 randomized controlled trials (RCTs) were selected. This resulted in a meta-analysis cohort comprising 4,557 patients.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart of literature search and study selection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1744165-g001.tif">
<alt-text content-type="machine-generated">Flowchart depicting the process of article selection for a study. Starting with 5504 records found, 5055 were screened after duplicate removal. Out of these, 47 articles were assessed for eligibility. Nine studies comprising 18 articles were included in both the qualitative synthesis and meta-analysis. Reasons for exclusion included wrong study design, patient population, intervention, and outcomes.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<title>Characteristics of the trials</title>
<p><xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref> presents the primary characteristics of the 9 RCTs. <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref> displays the criteria for high-risk cytogenetics in each RCT. Each study had a full-text article available, and all RCTs included in the analysis were assessed as high quality. The quality appraisal of the 9 RCTs is shown in <xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2</bold></xref> and <xref ref-type="fig" rid="f3"><bold>3</bold></xref>. The basis for the risk of bias assessment for each RCT is provided in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Attributes of studies meeting the inclusion criteria for the meta-analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Clinical trials</th>
<th valign="top" rowspan="2" align="center">Year</th>
<th valign="top" rowspan="2" align="center">Number of patients (all/high-risk)</th>
<th valign="top" rowspan="2" align="center">Median age (y)</th>
<th valign="top" rowspan="2" align="center">Aera</th>
<th valign="top" rowspan="2" align="center">Patients</th>
<th valign="middle" colspan="2" align="center">Study arms</th>
<th valign="top" rowspan="2" align="center">Study design</th>
</tr>
<tr>
<th valign="middle" align="center">Quadruplet regimens</th>
<th valign="middle" align="center">Triplet regimens</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">ALCYONE</td>
<td valign="middle" align="center">2018</td>
<td valign="middle" align="center">706/98</td>
<td valign="middle" align="center">71</td>
<td valign="middle" align="center">Global</td>
<td valign="middle" align="center">transplant-ineligible NDMM</td>
<td valign="middle" align="center">D-VMP</td>
<td valign="middle" align="center">VMP</td>
<td valign="middle" align="center">phase 3 RCT</td>
</tr>
<tr>
<td valign="middle" align="center">AMaRC 03-16</td>
<td valign="middle" align="center">2024</td>
<td valign="middle" align="center">129/19</td>
<td valign="middle" align="center">75</td>
<td valign="middle" align="center">Australia</td>
<td valign="middle" align="center">transplant-ineligible NDMM</td>
<td valign="middle" align="center">D-VCD</td>
<td valign="middle" align="center">VCD</td>
<td valign="middle" align="center">phase 2 RCT</td>
</tr>
<tr>
<td valign="middle" align="center">CASSIOPEIA</td>
<td valign="middle" align="center">2019</td>
<td valign="middle" align="center">1085/168</td>
<td valign="middle" align="center">59</td>
<td valign="middle" align="center">European</td>
<td valign="middle" align="center">transplant-eligible NDMM</td>
<td valign="middle" align="center">D-VTd</td>
<td valign="middle" align="center">VTd</td>
<td valign="middle" align="center">phase 3 RCT</td>
</tr>
<tr>
<td valign="middle" align="center">CEPHEUS</td>
<td valign="middle" align="center">2025</td>
<td valign="middle" align="center">395/52</td>
<td valign="middle" align="center">70</td>
<td valign="middle" align="center">Global</td>
<td valign="middle" align="center">transplant-ineligible or transplant-deferred NDMM</td>
<td valign="middle" align="center">D-VRd</td>
<td valign="middle" align="center">VRd</td>
<td valign="middle" align="center">phase 3 RCT</td>
</tr>
<tr>
<td valign="middle" align="center">GMMG-HD7</td>
<td valign="middle" align="center">2022</td>
<td valign="middle" align="center">660/124</td>
<td valign="middle" align="center">59.5</td>
<td valign="middle" align="center">Germany</td>
<td valign="middle" align="center">transplant-eligible NDMM</td>
<td valign="middle" align="center">Isa-VRd</td>
<td valign="middle" align="center">VRd</td>
<td valign="middle" align="center">phase 3 RCT</td>
</tr>
<tr>
<td valign="middle" align="center">GRIFFIN</td>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">207/30</td>
<td valign="middle" align="center">60</td>
<td valign="middle" align="center">United States</td>
<td valign="middle" align="center">transplant-eligible NDMM</td>
<td valign="middle" align="center">D-VRd</td>
<td valign="middle" align="center">VRd</td>
<td valign="middle" align="center">phase 2 RCT</td>
</tr>
<tr>
<td valign="middle" align="center">IMROZ</td>
<td valign="middle" align="center">2024</td>
<td valign="middle" align="center">446/74</td>
<td valign="middle" align="center">72</td>
<td valign="middle" align="center">Global</td>
<td valign="middle" align="center">transplant-ineligible NDMM</td>
<td valign="middle" align="center">Isa-VRd</td>
<td valign="middle" align="center">VRd</td>
<td valign="middle" align="center">phase 3 RCT</td>
</tr>
<tr>
<td valign="middle" align="center">OCTANS</td>
<td valign="middle" align="center">2023</td>
<td valign="middle" align="center">220/48</td>
<td valign="middle" align="center">69</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">transplant-ineligible NDMM</td>
<td valign="middle" align="center">D-VMP</td>
<td valign="middle" align="center">VMP</td>
<td valign="middle" align="center">phase 3 RCT</td>
</tr>
<tr>
<td valign="middle" align="center">PERSEUS</td>
<td valign="middle" align="center">2024</td>
<td valign="middle" align="center">709/154</td>
<td valign="middle" align="center">60</td>
<td valign="middle" align="center">Europe and Australia</td>
<td valign="middle" align="center">transplant-eligible NDMM</td>
<td valign="middle" align="center">D-VRd</td>
<td valign="middle" align="center">VRd</td>
<td valign="middle" align="center">phase 3 RCT</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NDMM, newly diagnosed multiple myeloma; D, daratumumab; VMP, bortezomib, melphalan and prednisone; RCT, randomized controlled trial; VCD, bortezomib, cyclophosphamide and dexamethasone; VTd, bortezomib, thalidomide and dexamethasone; VRd, bortezomib, lenalidomide, and dexamethasone; Isa, isatuximab.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Criteria for high-risk cytogenetics in each RCT.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Clinical trials/year</th>
<th valign="top" align="center">Criteria for high-risk cytoge- netics</th>
<th valign="top" align="center">Cutoffs</th>
<th valign="top" align="center">Methods</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">ALCYONE 2018</td>
<td valign="top" align="center">del(17p) and/or t(4,14)<break/>and/or t(14,16)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">FISH or karyotype testing</td>
</tr>
<tr>
<td valign="top" align="center">AMaRC 03-16 2024</td>
<td valign="top" align="center">del(17p) and/or t(4,14)<break/>and/or t(14,16)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">FISH</td>
</tr>
<tr>
<td valign="top" align="center">CASSIOPEIA 2019</td>
<td valign="top" align="center">del(17p) and/or t(4,14)</td>
<td valign="top" align="center">del17p (&#x2265;50% abnormal cells) and t(4,14) (&#x2265;30% abnormal cells)</td>
<td valign="top" align="center">FISH</td>
</tr>
<tr>
<td valign="top" align="center">CEPHEUS 2025</td>
<td valign="top" align="center">del(17p) and/or t(4,14)<break/>and/or t(14,16)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">FISH</td>
</tr>
<tr>
<td valign="top" align="center">GMMG-HD7 2022</td>
<td valign="top" align="center">del(17p) and/or t(4,14)<break/>and/or t(14,16)</td>
<td valign="top" align="center">&#x2265;10% abnormal cells</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center">GRIFFIN 2020</td>
<td valign="top" align="center">del(17p) and/or t(4,14)<break/>and/or t(14,16)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">FISH</td>
</tr>
<tr>
<td valign="top" align="center">IMROZ 2024</td>
<td valign="top" align="center">del(17p) and/or t(4,14)<break/>and/or t(14,16)</td>
<td valign="top" align="center">del17p (&#x2265;50% abnormal cells), t(4,14) and t(14,16) (&#x2265;30% abnormal cells)</td>
<td valign="top" align="center">FISH</td>
</tr>
<tr>
<td valign="top" align="center">OCTANS 2023</td>
<td valign="top" align="center">del(17p) and/or t(4,14)<break/>and/or t(14,16)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">FISH or karyotype analysis</td>
</tr>
<tr>
<td valign="top" align="center">PERSEUS 2024</td>
<td valign="top" align="center">del(17p) and/or t(4,14)<break/>and/or t(14,16)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">FISH</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>FISH, fluorescence <italic>in situ</italic> hybridization.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Risk of bias summary for RCTs.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1744165-g002.tif">
<alt-text content-type="machine-generated">Bar chart showing various types of biases in research, with green indicating low risk, yellow indicating unclear risk, and red indicating high risk. Random sequence generation and allocation concealment show partial yellow. All others indicate low risk. The chart includes a legend for color coding.</alt-text>
</graphic></fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Risk of bias graph for RCTs.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1744165-g003.tif">
<alt-text content-type="machine-generated">A risk of bias summary table for clinical trials from 2018 to 2025, showing different biases assessed: selection bias, performance bias, detection bias, attrition bias, reporting bias, and other bias. Trials such as ALCYONE 2018 and CASSIOPEIA 2019 show mostly low risk (green plus), while trials like AMaRC 03-16 2024 and GRIFFIN 2020 have some unclear risk (yellow question mark) in certain categories.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<title>MRD-negative rate</title>
<p>Five studies were included in the analysis. The MRD assessment in the 5 RCTs is displayed in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;2</bold></xref>. Compared with triplet regimens, CD38 mAb-based quadruplet regimens achieved a significantly higher MRD-negative rate (pooled OR = 2.02, 95% CI: 1.41-2.88, P = 0.0001; low heterogeneity, P = 0.35, I&#xb2; = 10%; <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Forest plot of MRD negativity in CD38 mAb-based quadruplet regimens versus triplet regimens.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1744165-g004.tif">
<alt-text content-type="machine-generated">Forest plot comparing CD38 mAb-based quadruplet and triplet therapies across five studies. Odds ratios and confidence intervals favor the quadruplet in CASSIOPEIA 2019, GRIFFIN 2020, and PERSUS 2024. GMMG-HD7 2022 and CEPHEUS 2025 show less significant differences. Overall odds ratio is 2.02 with a confidence interval of 1.41 to 2.88. Heterogeneity is low with a Chi-squared value of 4.47 and a significance level of 0.0001.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4">
<title>PFS</title>
<p>Nine studies were included in the analysis. Compared with triplet regimens, CD38 mAb-based quadruplet regimens achieved significantly improved PFS (pooled HR = 0.74, 95% CI: 0.59-0.94, P = 0.01), with no heterogeneity (P = 0.59, I&#xb2; = 0%; <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Forest plot of PFS in CD38 mAb-based quadruplet regimens versus triplet regimens.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1744165-g005.tif">
<alt-text content-type="machine-generated">Forest plot showing hazard ratios from multiple studies on CD38 mAb-based quadruplet treatments. Each study is listed with its log hazard ratio, standard error, weight, and confidence interval. The overall hazard ratio is 0.74, favoring the quadruplet.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_5">
<title>Subgroup analysis</title>
<p>We performed subgroup analyses of PFS based on the type of CD38 mAbs (daratumumab or isatuximab) and transplant eligibility (transplant-eligible or ineligible). The detailed data are shown in <xref ref-type="fig" rid="f6"><bold>Figures&#xa0;6</bold></xref> and <xref ref-type="fig" rid="f7"><bold>7</bold></xref>. Differing results were observed in the isatuximab subgroup and transplant-ineligible subgroup. The isatuximab-incorporated quadruplet regimens did not achieve a better PFS (pooled HR = 1.04, 95% CI: 0.67-1.62, P = 0.84; no heterogeneity, P = 0.79, I&#xb2; = 0%) than triplet regimens in NDMM with high-risk cytogenetic factors. For transplant-ineligible NDMM patients with high-risk cytogenetics, the incorporation of a CD38 monoclonal antibody into a triplet regimen did not confer a superior PFS advantage over triplet regimens alone (pooled HR = 0.79, 95% CI: 0.56-1.13, P = 0.19; no heterogeneity, P = 0.75, I&#xb2; = 0%).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Subgroup analyses for PFS regarding type of CD38 mAbs (daratumumab or isatuximab).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1744165-g006.tif">
<alt-text content-type="machine-generated">Forest plot showing hazard ratios from studies comparing daratumumab and isatuximab treatments. Each study's hazard ratio and confidence interval are represented by red squares and horizontal lines. A black diamond indicates the overall effect estimate for each group. The plot analyzes the favorability of CD38 mAb-based quadruplet therapy versus triplet therapy, with studies listed alongside their respective metrics, such as log[Hazard Ratio], standard error, and weight. Heterogeneity and overall test statistics for both treatments are noted.</alt-text>
</graphic></fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Subgroup analyses for PFS regarding transplant eligibility (transplant-eligible or ineligible).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1744165-g007.tif">
<alt-text content-type="machine-generated">Forest plot illustrating the hazard ratios for transplant-eligible and transplant-ineligible groups. Each study shows a log hazard ratio, standard error, weight, and confidence interval. The transplant-eligible summary hazard ratio is 0.71 [0.52, 0.96] with significant effect, while the transplant-ineligible group shows a hazard ratio of 0.79 [0.56, 1.13]. Overall, tests show moderate heterogeneity in eligible and none in ineligible groups. The plot visually compares individual study effects and overall subgroup effects regarding CD38 monoclonal antibody-based regimens versus triplet regimens.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_6">
<title>Heterogeneity analysis</title>
<p>Heterogeneity analysis was performed for the two primary outcomes. No statistically significant heterogeneity was detected. The results are shown in <xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4</bold></xref> and <xref ref-type="fig" rid="f5"><bold>5</bold></xref>.</p>
</sec>
<sec id="s3_7">
<title>Sensitivity analysis</title>
<p>We performed sensitivity analyses to assess the impact of excluding individual studies or specific groups of studies (such as studies not exclusively using NGS for MRD detection, phase 2 RCTs, or studies with non-immunomodulatory drugs backbones) on the pooled outcomes. The pooled estimate for the MRD&#x2212;negative rate remained robust and was not substantially altered by the exclusion of any single study or the specified study groups. However, when the PERSEUS trial was excluded, the difference in PFS between the treatment arms was no longer statistically significant (pooled HR = 0.79, 95% CI: 0.61-1.02, P = 0.07). The detailed results are provided in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Tables&#xa0;3</bold></xref>-<xref ref-type="supplementary-material" rid="SM1"><bold>6</bold></xref>.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The quadruplet regimen, which combines a CD38 mAb with a traditional triplet therapy, such as daratumumab-VRd(D-VRd), daratumumab-bortezomib-melphalan-prednisone(D-VMP), daratumumab-bortezomib-thalidomide-dexamethasone(D-VTd), daratumumab-bortezomib-cyclophosphamide-dexamethasone(D-VCD), and isatuximab-VRd(Isa-VRd), has become the standard of care for NDMM (<xref ref-type="bibr" rid="B10">10</xref>). These CD38 mAb-based quadruplet regimens have demonstrated deeper responses and longer survival compared to triplet regimens alone, with an adverse events profile considered acceptable (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). However, whether the addition of a CD38 mAb benefits all NDMM patient subgroups, such as those with high-risk cytogenetics, remains controversial. Only the PERSEUS study (<xref ref-type="bibr" rid="B7">7</xref>) demonstrated a better PFS (HR 0.59, 95% CI 0.36-0.99) in the D-VRd group compared to VRd in NDMM with high-risk cytogenetics. Other studies have not shown a significant PFS benefit for CD38 mAb-based quadruplet regimens over triplets. This is evidenced by the following trials: ALCYONE (D-VMP vs. VMP; HR 0.78, 95% CI 0.43-1.43) (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>), AMaRC 03-16 (D-VCD vs. VCD; HR 0.70, 95% CI 0.25-1.98) (<xref ref-type="bibr" rid="B16">16</xref>), CASSIOPEIA (D-VTd vs. VTd; HR 0.67, 95% CI 0.35-1.30) (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>), CEPHEUS (D-VRd vs. VRd; HR 0.88, 95% CI 0.42-1.84) (<xref ref-type="bibr" rid="B20">20</xref>), GRIFFIN&#xa0;(D-VRd vs. VRd; HR 0.38, 95% CI 0.14-1.01) (<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>), OCTANS (D-VMP vs. VMP; HR 0.34, 95% CI 0.09-1.32) (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>), GMMG-HD7 (Isa-VRd vs. VRd; HR 1.09, 95% CI 0.63-1.91) (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>), IMROZ (Isa-VRd vs. VRd; HR 0.97, 95% CI 0.48-1.96) (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). To address this controversial issue, we performed a meta-analysis of the aforementioned clinical trials. The pooled results confirmed that, compared to triplet regimens, CD38 mAb-based quadruplet regimens achieved significantly higher rates of MRD negativity and PFS in NDMM with high-risk cytogenetics. Our findings provide evidence to support the selection of CD38 mAb-based quadruplet regimens as first-line induction therapy for NDMM with high-risk cytogenetics.</p>
<p>The mechanisms of action of CD38 mAbs are multifactorial (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). In 2008, daratumumab, a fully human immunoglobulin G-&#x3ba; (IgG-&#x3ba;) antibody, became the first CD38-targeting agent to be administered to patients with MM. In addition to its distinctive capacity to induce complement-dependent cytotoxicity (CDC), daratumumab eliminates MM cells through antibody-dependent cellular cytotoxicity (ADCC) and phagocytosis (ADCP) (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Similarly, isatuximab, a chimeric IgG-&#x3ba; CD38 antibody, has multiple mechanisms of action including CDC, ADCC, and ADCP (<xref ref-type="bibr" rid="B34">34</xref>). Isatuximab exhibits weaker CDC and ADCP than daratumumab, while it possesses strong pro-apoptotic activity independent of cross-linking and inhibits CD38 ectoenzyme function (<xref ref-type="bibr" rid="B34">34</xref>). The bone marrow microenvironment (BMME) is crucial for MM pathogenesis and treatment (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). A common feature of all immunosuppressive cells, including regulatory B cells (Bregs) and tumor-associated macrophages (TAMs), is the expression of high levels of CD38, which can be targeted by CD38 mAbs (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Treatment with daratumumab or isatuximab can rapidly deplete CD38+ regulatory T cells (Tregs), myeloid-derived suppressor cells (MDSCs), and Bregs and is associated with clonal expansion of CD4+ and CD8+ T cells in myeloma patients. Hence, CD38 mAbs therapy, besides targeting CD38-positive myeloma cells, can also restore an immunologically functional BMME exerting appropriate anti-MM T-cell responses (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Our study revealed that among NDMM with high-risk cytogenetics, daratumumab-based quadruplet regimens achieved deeper response and improved PFS compared with triplet regimens. In contrast, isatuximab-based quadruplets did not demonstrate a similar advantage, which may be attributed to their distinct mechanisms of action or the limited number of studies (only 2 RCTs) included in the isatuximab subgroup. Moreover, the lack of benefit observed in the isatuximab subgroup may also be related to specific design features of the included clinical trials. In the GMMG-HD7 trial (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>), the absence of consolidation therapy following the 18-week induction and autologous stem cell transplantation may have compromised treatment efficacy in high-risk cytogenetic MM patients. In the IMROZ study (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), the interpretation of outcomes may potentially have been influenced by the protocol-permitted crossover of some control patients from Rd to isatuximab-Rd maintenance during the continuous treatment phase.</p>
<p>The administration of quadruplet regimens may raise toxicity concerns in specific patient populations, including those aged &#x2265;65 years, individuals under 65 with significant comorbidities, and patients classified as frail according to the simplified IMWG (sIMWG) frailty score (<xref ref-type="bibr" rid="B37">37</xref>)&#x2014;collectively representing the transplant-ineligible population. Older and frail patients are characterized by distinct tumor biology, altered pharmacokinetics, and diminished organ function; they experience more significant treatment-related toxicity (<xref ref-type="bibr" rid="B37">37</xref>). Consequently, a careful balance between efficacy and safety is crucial in managing transplant-ineligible individuals. Subgroup analysis in this study revealed that the addition of CD38 mAbs to triplet regimens did not improve PFS (pooled HR = 0.79, 95% CI: 0.56-1.13, P = 0.19) in transplant-ineligible patients. These results suggest that for transplant-ineligible NDMM patients with high-risk cytogenetics, the PFS benefit of CD38 mAb-based quadruplet regimens over triplet therapy remains uncertain. We attempted to compare the&#xa0;incidence of adverse events between the two groups in the transplant-ineligible subgroup to determine whether the lack of PFS&#xa0;benefit was due to diminished efficacy or treatment-related&#xa0;complications leading to dose modifications or early discontinuation. However, the absence of source data precluded this comparison, which constitutes a significant limitation of our study.</p>
<p>When interpreting the MRD results, it should be noted that there is heterogeneity in the assessment methodologies among the five included studies. As shown in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;2</bold></xref>, although MRD assessments in all studies were conducted after consolidation therapy and during the maintenance phase, the specific timing of evaluation still varied across studies. In addition, the detection methods differed, employing either next-generation sequencing or flow cytometry. While these differences may introduce heterogeneity, our sensitivity analysis confirmed that the pooled MRD negativity rate remained robust and was not significantly influenced by any single study or by the different MRD detection techniques used, thereby strengthening the conclusion that quadruplet regimens significantly deepen treatment response.</p>
<p>An important consideration in interpreting our results is the heterogeneity in the definition of high-risk cytogenetics across the included trials, as summarized in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>. While most trials defined high-risk by the presence of del(17p), t(4,14), and/or t(14,16), the specific cutoffs for the percentage of abnormal plasma cells varied (e.g., &#x2265;50% for del(17p) in CASSIOPEIA and IMROZ versus &#x2265;10% in GMMG-HD7). Furthermore, the CASSIOPEIA trial notably excluded patients with t(14,16). A more rigorous approach would apply a uniform high-risk definition to reclassify patients or perform separate analyses for distinct cytogenetic subgroups. However, this was unfortunately not feasible for the present study as it requires access to individual patient data, which were not available to us. Despite these methodological differences, our sensitivity analysis confirmed that the exclusion of any single trial, including CASSIOPEIA, did not substantially alter the pooled PFS result. This consistency reinforces the robustness of our primary finding that CD38 mAb-based quadruplet regimens confer a PFS benefit in this clinically challenging population. Another limitation is that the included RCTs did not analyze patients with combinations like gain(1q) plus other cytogenetic abnormalities [such as t(4,14), t(14,16), t(14,20), or del(1p32)] within their high-risk cohorts, despite the 2025 IMWG consensus (<xref ref-type="bibr" rid="B12">12</xref>) categorizing such profiles as high-risk. Consequently, the direct relevance of our findings for guiding therapy in patients classified as high-risk under the latest criteria, especially those with gain(1q), remains uncertain.</p>
<p>It is noteworthy that the reported PFS benefit was heavily influenced by the PERSEUS trial, a finding corroborated by the sensitivity analysis, in which the exclusion of this single dataset led to a loss of statistical significance. The pronounced benefit observed in PERSEUS may be attributed to specific regimen (subcutaneous daratumumab-VRd), patient population (exclusively transplant-eligible with relatively lower median age) and its large sample size (which included 154 high-risk NDMM patients). The fact that the statistical significance of the pooled PFS benefit was lost upon the exclusion of the PERSEUS trial underscores that our global conclusion is fragile and may not reflect a consistent treatment effect across all studies. While the direction of the effect across trials is generally favorable, the current evidence does not permit a definitive conclusion of universal superiority for CD38 mAb-based quadruplet regimens in all high-risk NDMM settings. The observed benefit appears to be most robust and pronounced in the context of the D-VRd regimen for transplant-eligible patients, as exemplified by the PERSEUS trial.</p>
<p>The absence of a comparative analysis for overall survival (OS) constitutes a limitation of our study. Although we sought to compare OS between the two groups, only the ALCYONE trial among the nine included studies provided OS data specifically for the high-risk cytogenetic subpopulation, which precluded a formal meta-analysis. While the observed improvement in PFS is a validated and important intermediate endpoint, it does not invariably translate into an OS benefit. This is particularly relevant in the contemporary treatment landscape, where the availability of numerous effective salvage therapies, including bispecific antibodies and chimeric antigen receptor T-cell therapies, can substantially prolong survival after initial disease progression (<xref ref-type="bibr" rid="B38">38</xref>). Therefore, our findings of improved PFS with CD38 mAb-based quadruplet regimens, although encouraging, should be interpreted with caution regarding their ultimate impact on long-term survival.</p>
<p>Notably, this study relies heavily on hazard ratios and odds ratios reported in the original trials; however, in several instances, data for high-risk subgroups were derived from <italic>post-hoc</italic> or exploratory analyses. These estimates are inherently less reliable than pre-specified endpoints, which may diminish the robustness of our conclusions.</p>
<p>The results of this meta-analysis hold direct implications for&#xa0;clinical practice, yet their implementation must be carefully considered within real-world contexts. The significant improvements in PFS and MRD negativity support the consideration of CD38 mAb-based quadruplet regimens, particularly those incorporating daratumumab, as a preferred first-line strategy for NDMM patients with high-risk cytogenetics, which is consistent with current guideline recommendations. However, the absence of a demonstrated OS benefit in the available data, coupled with the substantial economic burden and variable accessibility of CD38 monoclonal antibodies across healthcare systems, presents a challenge to their universal adoption. In resource-limited settings, the decision to implement quadruplet therapy must involve a critical appraisal of the incremental efficacy&#x2014;currently measured by intermediate endpoints&#x2014;against the considerable financial cost. Therefore, while this evidence strengthens the efficacy profile of these regimens, it underscores the need for individualized treatment decisions that integrate patient-specific factors, local economic realities, and a cautious interpretation of the survival outcomes.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>The incorporation of CD38 mAbs, particularly daratumumab, into triplet regimens improves depth of response and PFS in NDMM patients with high-risk cytogenetics.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>BH: Formal analysis, Project administration, Software, Writing&#xa0;&#x2013;&#xa0;original draft, Writing &#x2013; review &amp; editing. DF: Data curation, Writing&#xa0;&#x2013;&#xa0;original draft, Software. LJ: Data curation, Writing &#x2013; original draft, Software. TL: Methodology, Writing &#x2013; original draft. KC: Data curation, Resources, Writing &#x2013; original draft, Software. JC:&#xa0;Methodology, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JW: Investigation, Supervision, Writing &#x2013; original draft, Writing&#xa0;&#x2013;&#xa0;review &amp; editing.</p></sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s10" 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&#xa0;you identify any issues, please contact us.</p></sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2025.1744165/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1744165/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Supplementaryfile1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
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