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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<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.2025.1619115</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Addition of daratumumab to standard triplet regimens achieved better survival in newly diagnosed multiple myeloma: 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>
<uri xlink:href="https://loop.frontiersin.org/people/3043703/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Jun</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2046520/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fang</surname>
<given-names>Dan</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Ling</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Tianqi</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Cao</surname>
<given-names>Jinxia</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2820110/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Department of Hematology, Changde Hospital, Xiangya School of Medicine, Central South University, The First People&#x2019;s Hospital of Changde City</institution>, <addr-line>Changde</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/296385/overview">Alessandro Isidori</ext-link>, AORMN Hospital, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2021662/overview">Danilo De Novellis</ext-link>, Ospedali Riuniti San Giovanni di Dio e Ruggi d&#x2019;Aragona, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2790102/overview">Taku Kikuchi</ext-link>, Japanese Red Cross Medical Center, Japan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jinxia Cao, <email xlink:href="mailto:Valentina8805@163.com">Valentina8805@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1619115</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Hu, Wang, Fang, Jiang, Li and Cao.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Hu, Wang, Fang, Jiang, Li and Cao</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Triplet regimens, such as bortezomib-lenalidomide-dexamethasone (VRd) and bortezomib-melphalan-prednisone (VMP), were standard treatments for newly diagnosed multiple myeloma (NDMM), but they were non-curative for most patients. The incorporation of daratumumab into these regimens, resulting in quadruplet therapies, has shown improved outcomes, though concerns over increased toxicity remain.</p>
</sec>
<sec>
<title>Methods</title>
<p>In this systematic review and meta-analysis, we aimed to compare the efficacy and safety of daratumumab-incorporated quadruplet regimens versus traditional triplet regimens in NDMM. A search of PubMed, EMBASE, and the Cochrane Library identified six randomized controlled trials (RCTs) with 3,056 patients. Outcomes included response rates, minimal residual disease (MRD) negativity rate, progression-free survival (PFS), and adverse events.</p>
</sec>
<sec>
<title>Results</title>
<p>Compared with triplet regimens, daratumumab-incorporated quadruplet combinations achieved a higher overall survival rate (ORR) (pooled OR = 2.36, 95% CI: 1.56-3.56, P &lt; 0.0001), rate of complete response (CR) or better (pooled OR = 2.35, 95% CI: 1.99-2.77, P &lt; 0.0001), very good partial response (VGPR) or better (pooled OR = 2.58, 95% CI: 1.76-3.79, P &lt; 0.0001) and MRD negativity (pooled OR = 3.55, 95% CI: 2.54-4.96, P &lt; 0.0001). The addition of daratumumab to triplet regimens significantly improved PFS compared with triplet regimens (pooled HR = 0.45, 95% CI: 0.39&#x2013;0.52, P &lt; 0.0001). Regarding safety, quadruplet regimens were associated with a higher incidence of lymphopenia, upper respiratory tract infection, pyrexia, and pneumonia.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Incorporating daratumumab into backbone triplet regimens is associated with improved response rates, deeper remission and prolonged PFS with acceptable toxicity profile in patients with NDMM.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>
<uri xlink:href="https://inplasy.com/inplasy-2024-12-0026/">https://inplasy.com/inplasy-2024-12-0026/</uri>, identifier INPLASY2024120026.</p>
</sec>
</abstract>
<kwd-group>
<kwd>daratumumab</kwd>
<kwd>quadruplet regimens</kwd>
<kwd>triplet regimens</kwd>
<kwd>multiple myeloma</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="29"/>
<page-count count="11"/>
<word-count count="3767"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Hematologic Malignancies</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Triplet regimens, including bortezomib-lenalidomide-dexamethasone (VRd) and bortezomib-melphalan-prednisone (VMP), were widely approved induction treatments for multiple myeloma (MM) (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). For transplantation-eligible patients with newly diagnosed multiple myeloma (NDMM), the standard approach involved VRd induction therapy followed by autologous stem-cell transplantation, consolidation therapy with VRd, and maintenance therapy with lenalidomide (<xref ref-type="bibr" rid="B4">4</xref>). However, this strategy was noncurative in the vast majority of patients.</p>
<p>Quadruplet combinations, including daratumumab, have been investigated in the induction therapy of NDMM to achieve deeper remissions and prolonged survival (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Currently, the incorporation of daratumumab into standard triplet regimens has become the most widely used quadruplet strategy, replacing traditional triplet combinations as the standard of care (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Daratumumab, a CD38-targeted human IgG&#x3ba; monoclonal antibody, exerts its antitumor effects through multiple mechanisms (<xref ref-type="bibr" rid="B10">10</xref>). These include direct tumor cell killing via antibody-dependent cellular cytotoxicity (ADCC), complement-dependent cytotoxicity (CDC), and apoptosis induction (<xref ref-type="bibr" rid="B10">10</xref>). Additionally, daratumumab modulates the immune system by depleting immune-suppressive cells, such as regulatory T cells and myeloid-derived suppressor cells (MDSCs), and by enhancing the activity of effector immune cells like natural killer (NK) cells and T cells (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Through these mechanisms, daratumumab not only directly targets malignant plasma cells but also reactivates the immune system to enhance antitumor responses (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Commonly used quadruplet combinations include daratumumab-bortezomib-lenalidomide-dexamethasone (D-VRd), daratumumab-bortezomib-thalidomide-dexamethasone (D-VTd), and daratumumab-bortezomib-melphalan-prednisone (D-VMP). In the phase 2 GRIFFIN trial, the incorporation of daratumumab into the VRd regimen (D-VRd) led to improved outcomes in patients with NDMM. Stringent complete response (sCR) rates were higher for D-VRd compared with VRd (62.6% vs. 45.4%; P = 0.0177), minimal residual disease (MRD) negativity rates (10&#x2013;<sup>5</sup> threshold) were higher for D-VRd (51.0% vs. 20.4%; P &lt; 0.0001), and the respective 24-month progression-free survival (PFS) rates were 95.8% (D-VRd) versus 89.8% (VRd) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). However, some studies have shown that quadruplet regimens do not offer superior survival outcomes compared to triplet regimens. The phase 2 AmaRC 03&#x2013;16 trial did not show a significant benefit in PFS for the D-VCD (daratumumab-bortezomib-cyclophosphamide-dexamethasone) arm compared to the VCD (bortezomib-cyclophosphamide-dexamethasone) arm (<xref ref-type="bibr" rid="B15">15</xref>). In the phase 3 ALCYONE study, the D-VMP group did not demonstrate improved PFS compared to the VMP group in the high cytogenetic risk subgroup (HR [95% CI]: 0.78 [0.43, 1.43]) (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Additionally, the addition of daratumumab may increase the incidence of adverse events (<xref ref-type="bibr" rid="B18">18</xref>). The PERSEUS study demonstrated that, compared to the VRd group, the D-VRd group had higher rates of neutropenia (69.2% in the D-VRd group and 58.8% in the VRd group), thrombocytopenia (48.4% vs. 34.3%), and pneumonia (18.2% vs. 11.0%) (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>Owing to uncertainties in therapeutic efficacy&#x2014;as indicated by findings from the AmaRC 03-16 (<xref ref-type="bibr" rid="B15">15</xref>) and the high cytogenetic risk subgroup of the ALCYONE study (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>)&#x2014;and the elevated incidence of hematologic toxicities (e.g., neutropenia, thrombocytopenia) and infections (e.g., pneumonia) (<xref ref-type="bibr" rid="B18">18</xref>), some experts remain cautious about universally recommending quadruplet regimens for all NDMM patients, resulting in a lack of definitive consensus in clinical practice. We propose that aggregating outcomes from different clinical trials may resolve this debate. This meta-analysis was designed to compare the efficacy and safety of daratumumab-incorporated quadruplet regimens and standard triplet therapies in patients with NDMM.</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 authors conducted a comprehensive search&#xa0;for relevant information using the PubMed, EMBASE, and Cochrane Library databases. Only published trials with full-text papers were included. We also manually reviewed reference lists&#xa0;from eligible studies to identify additional relevant records. All available research published up to March 2025 was collected.&#xa0;The detailed search strategy is provided in supplementary information.</p>
</sec>
<sec id="s2_2">
<title>Selection criteria</title>
<p>The studies identified were independently evaluated by two reviewers. Studies were included if they met the following inclusion criteria:</p>
<list list-type="bullet">
<list-item>
<p>research design: randomized controlled trials (RCTs);</p>
</list-item>
<list-item>
<p>participants: patients with NDMM;</p>
</list-item>
<list-item>
<p>intervention: daratumumab-incorporated quadruplet regimens versus triplet regimens;</p>
</list-item>
<list-item>
<p>outcomes: overall response rate (ORR), the rate of complete response (CR) or better (comprising CR and sCR), the rate of very good partial response (VGPR) or better (comprising VGPR, CR and sCR), the rate of negative status for MRD (10&#x2013;<sup>5</sup> threshold), PFS and toxicity events.</p>
</list-item>
</list>
</sec>
<sec id="s2_3">
<title>Data extraction</title>
<p>Data extraction from the included RCTs was performed by two researchers, covering detailed medication regimens, drug dosages, efficacy data, survival data, and incidence of toxicities.</p>
</sec>
<sec id="s2_4">
<title>Methodological quality appraisal</title>
<p>Methodological quality of each study was assessed by two independent researchers. We adopted the Cochrane Collaboration Risk of Bias tool (<xref ref-type="bibr" rid="B19">19</xref>) to judge the quality of RCTs.</p>
</sec>
<sec id="s2_5">
<title>Outcomes assessments</title>
<p>One objective was to compare the ORR, rate of CR or better, rate of VGPR or better, rate of negative MRD status and PFS between the two arms. Another objective was to assess the differences in safety outcomes between the two arms, including neutropenia, thrombocytopenia, anemia, lymphopenia, fatigue, upper respiratory tract infection, peripheral sensory neuropathy, diarrhea, constipation, nausea, pyrexia, peripheral edema, and pneumonia.</p>
</sec>
<sec id="s2_6">
<title>Statistical analysis</title>
<p>Analyses were conducted using RevMan 5.4. Heterogeneity across the included trials was assessed using the I&#xb2; statistic. An I&#xb2; value of 25% to 50% was considered to indicate low heterogeneity, 50% to 75% moderate heterogeneity, and greater than 75% high heterogeneity. A random effects model was applied when the I&#xb2; value exceeded 50%, whereas a fixed effects model was used otherwise.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Selection of the trials</title>
<p>The process of literature retrieval, selection, and identification is illustrated in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. Following the initial search, 2291 records were identified. Of these, 8 publications (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>) of 6 RCTs met the inclusion criteria. Consequently, a total of 3,056 patients were included in this study.</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="fonc-15-1619115-g001.tif">
<alt-text content-type="machine-generated">Flowchart depicting a systematic review process. It includes identification, screening, eligibility, and inclusion phases. Initially, 2,291 records are identified from databases and two from other sources. After removing 397 duplicates, 1,894 records are screened with 1,862 exclusions. Thirty-two full-text articles are assessed for eligibility, resulting in 24 exclusions due to duplicates, wrong study design, incorrect patient population, intervention, outcomes, or lack of full text. Finally, eight articles are included in both qualitative synthesis and meta-analysis.</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 6 RCTs. Each study had a complete full-text article available, and all RCTs included in the analysis were assessed as high quality. The quality appraisal of the 6 RCTs are 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>.</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="middle" rowspan="2" align="center">Clinical trials</th>
<th valign="middle" rowspan="2" align="center">Year</th>
<th valign="middle" rowspan="2" align="center">Number of patients</th>
<th valign="middle" rowspan="2" align="center">Median age (y)</th>
<th valign="middle" rowspan="2" align="center">Aera</th>
<th valign="middle" rowspan="2" align="center">Patients</th>
<th valign="middle" colspan="2" align="center">Study arms</th>
<th valign="middle" rowspan="2" align="center">Study design</th>
</tr>
<tr>
<th valign="middle" align="center">Daratumumab-based quadruple-drug regimens</th>
<th valign="middle" align="center">Standard triple-drug 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</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 (daratumumab, bortezomib, melphalan and prednisone)</td>
<td valign="middle" align="center">VMP (bortezomib, melphalan and prednisone/dexamethasone)</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</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 (daratumumab, bortezomib, cyclophosphamide and dexamethasone)</td>
<td valign="middle" align="center">VCD (bortezomib, cyclophosphamide and dexamethasone)</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</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 (daratumumab, bortezomib, thalidomide and dexamethasone)</td>
<td valign="middle" align="center">VTd (bortezomib, thalidomide and dexamethasone)</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</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-RVd (daratumumab, lenalidomide, bortezomib and dexamethasone)</td>
<td valign="middle" align="center">RVd (lenalidomide, bortezomib and dexamethasone)</td>
<td valign="middle" align="center">phase 2 RCT</td>
</tr>
<tr>
<td valign="middle" align="center">OCTANS</td>
<td valign="middle" align="center">2023</td>
<td valign="middle" align="center">220</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-VPM (daratumumab, bortezomib, melphalan and prednisone)</td>
<td valign="middle" align="center">VPM (bortezomib, melphalan and prednisone/dexamethasone)</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</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 (daratumumab, bortezomib, lenalidomide, and dexamethasone)</td>
<td valign="middle" align="center">VRd (bortezomib, lenalidomide, and dexamethasone)</td>
<td valign="middle" align="center">phase 3 RCT</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NDMM, newly diagnosed multiple myeloma; RCT, randomized controlled trial.</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="fonc-15-1619115-g002.tif">
<alt-text content-type="machine-generated">A bias assessment table evaluates studies from 2018 to 2024 across several criteria: random sequence generation, allocation concealment, blinding of participants, outcome assessment, incomplete data, selective reporting, and other bias. Each cell contains symbols indicating bias risk: green circles with pluses for low risk, yellow circles with question marks for unclear risk.</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="fonc-15-1619115-g003.tif">
<alt-text content-type="machine-generated">Bar chart showing types of biases with green for low risk and yellow for unclear risk. Six bars are fully green: Blinding of outcome assessment, incomplete outcome data, selective reporting, and other bias. Random sequence generation and allocation concealment have partial yellow sections.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<title>Responses and the rate of negative status for MRD</title>
<p>Six studies were included in the analysis. Compared with triplet regimens, daratumumab-incorporated quadruplet regimens achieved a significantly higher ORR (pooled OR = 2.36, 95% CI: 1.56-3.56, P &lt; 0.0001; moderate heterogeneity, P = 0.06, I&#xb2; = 54%; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>), rate of CR or better (pooled OR = 2.35, 95% CI: 1.99-2.77, P &lt; 0.0001; low heterogeneity, P = 0.14, I&#xb2; = 40%; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>), rate of VGPR or better (pooled OR = 2.58, 95% CI: 1.76-3.79, P &lt; 0.0001; moderate heterogeneity, P = 0.006, I&#xb2; = 70%; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>), and rate of negative status for MRD (pooled OR = 3.55, 95% CI: 2.54-4.96, P &lt; 0.0001; moderate heterogeneity, P = 0.02, I&#xb2; = 63%; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Forest plot of ORR <bold>(A)</bold>, CR or better <bold>(B)</bold>, VGPR or better <bold>(C)</bold> and MRD negativity <bold>(D)</bold> in daratumumab-incorporated quadruplet regimens versus standard triplet regimens.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1619115-g004.tif">
<alt-text content-type="machine-generated">Four forest plots labeled A, B, C, and D compare odds ratios for quintuplet and triplet groups from various studies. Each plot includes event data, total numbers, weights, and confidence intervals. Horizontal lines represent confidence intervals, with diamonds indicating overall effect estimates. Each plot displays scales favoring triplet or quadruplet groups, with detailed heterogeneity and statistical test results.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4">
<title>PFS</title>
<p>Compared with triplet regimens, daratumumab-incorporated quadruplet regimens achieved significantly improved PFS (pooled HR = 0.45, 95% CI: 0.39-0.52, P &lt; 0.0001), with no heterogeneity (P = 0.52, 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 daratumumab-incorporated quadruplet regimens versus standard triplet regimens.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1619115-g005.tif">
<alt-text content-type="machine-generated">Forest plot showing hazard ratios from six studies: ALCYONE 2018, AMaRC 03-16 2024, CASSIOPEIA 2019, GRIFFIN 2020, OCTANS 2023, and PERSEUS 2024. Each study has a log hazard ratio, standard error, weight, and confidence interval. The total hazard ratio is 0.45 with a 95% confidence interval of 0.39 to 0.52. Heterogeneity test shows Chi-squared = 4.18, degrees of freedom = 5, p-value = 0.52, and I-squared = 0%. Overall effect test: Z = 11.24, p &lt; 0.00001. Plot favors triplet over quadruplet.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_5">
<title>Adverse events</title>
<p>The results indicated that, compared with triplet regimens, daratumumab-incorporated quadruplet regimens had a higher incidence of adverse events, including any grade of lymphopenia (pooled OR = 1.33, 95% CI: 1.03-1.73, P = 0.03; low heterogeneity, P = 0.21, I&#xb2; = 37%), lymphopenia grade &#x2265; 3 (pooled OR = 1.65, 95% CI: 1.24-2.20, P = 0.0006; low heterogeneity, P = 0.35, I&#xb2; = 6%), any grade of upper respiratory tract infection (pooled OR = 1.78, 95% CI: 1.43-2.22, P &lt; 0.0001; low heterogeneity, P = 0.26, I&#xb2; = 25%), any grade of pyrexia (pooled OR = 1.23, 95% CI: 1.04-1.46, P = 0.01; low heterogeneity, P = 0.23, I&#xb2; = 29%), any grade of pneumonia (pooled OR = 2.38, 95% CI: 1.76-3.24, P &lt; 0.0001; moderate heterogeneity, P = 0.17, I&#xb2; = 43%) and pneumonia grade &#x2265; 3 (pooled OR = 2.33, 95% CI: 1.62-3.35, P &lt; 0.0001; no heterogeneity, P = 0.48, I&#xb2; = 0%). The detailed data are shown 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>Meta-analyses of adverse events.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Adverse events</th>
<th valign="middle" align="center">Grade</th>
<th valign="middle" align="center">Number of studies</th>
<th valign="middle" align="center">Number of patients</th>
<th valign="middle" align="center">Mode</th>
<th valign="middle" align="center">Pooled RR (95%CI)</th>
<th valign="middle" align="center">P value</th>
<th valign="middle" align="center">I<sup>2</sup>
</th>
<th valign="middle" align="center">P for heterogeneity</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="center">Neutropenia</td>
<td valign="middle" align="center">any grade</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">2888</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">1.40 (0.91-2.15)</td>
<td valign="middle" align="center">0.12</td>
<td valign="middle" align="center">84%</td>
<td valign="middle" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="middle" align="center">grade &#x2265;3</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">2888</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">1.44 (0.95-2.18)</td>
<td valign="middle" align="center">0.08</td>
<td valign="middle" align="center">83%</td>
<td valign="middle" align="center">0.0001</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Thrombocytopenia</td>
<td valign="middle" align="center">any grade</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">2888</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">1.42 (0.99-2.02)</td>
<td valign="middle" align="center">0.06</td>
<td valign="middle" align="center">76%</td>
<td valign="middle" align="center">0.003</td>
</tr>
<tr>
<td valign="middle" align="center">grade &#x2265;3</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">2888</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">1.36 (0.94-1.98)</td>
<td valign="middle" align="center">0.10</td>
<td valign="middle" align="center">70%</td>
<td valign="middle" align="center">0.009</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Anemia</td>
<td valign="middle" align="center">any grade</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1814</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">0.85 (0.69-1.04)</td>
<td valign="middle" align="center">0.11</td>
<td valign="middle" align="center">47%</td>
<td valign="middle" align="center">0.13</td>
</tr>
<tr>
<td valign="middle" align="center">grade &#x2265;3</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1814</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">0.87 (0.65-1.15)</td>
<td valign="middle" align="center">0.32</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">0.64</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Lymphopenia</td>
<td valign="middle" align="center">any grade</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">1490</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.33 (1.03-1.73)</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">37%</td>
<td valign="middle" align="center">0.21</td>
</tr>
<tr>
<td valign="middle" align="center">grade &#x2265;3</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">1490</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.65 (1.24-2.20)</td>
<td valign="middle" align="center">0.0006</td>
<td valign="middle" align="center">6%</td>
<td valign="middle" align="center">0.35</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Fatigue</td>
<td valign="middle" align="center">any grade</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">1973</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.08 (0.89-1.31)</td>
<td valign="middle" align="center">0.44</td>
<td valign="middle" align="center">23%</td>
<td valign="middle" align="center">0.27</td>
</tr>
<tr>
<td valign="middle" align="center">grade &#x2265;3</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">1973</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">0.76 (0.44-1.32)</td>
<td valign="middle" align="center">0.33</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">0.44</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Upper respiratory tract infection</td>
<td valign="middle" align="center">any grade</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1814</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.78 (1.43-2.22)</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">25%</td>
<td valign="middle" align="center">0.26</td>
</tr>
<tr>
<td valign="middle" align="center">grade &#x2265;3</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1814</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.22 (0.60-2.47)</td>
<td valign="middle" align="center">0.58</td>
<td valign="middle" align="center">44%</td>
<td valign="middle" align="center">0.15</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Peripheral sensory neuropathy</td>
<td valign="middle" align="center">any grade</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">2687</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">0.86 (0.73-1.00)</td>
<td valign="middle" align="center">0.06</td>
<td valign="middle" align="center">26%</td>
<td valign="middle" align="center">0.25</td>
</tr>
<tr>
<td valign="middle" align="center">grade &#x2265;3</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">2687</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">0.90 (0.64-1.25)</td>
<td valign="middle" align="center">0.52</td>
<td valign="middle" align="center">19%</td>
<td valign="middle" align="center">0.29</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Diarrhea</td>
<td valign="middle" align="center">any grade</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1814</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.18 (0.96-1.44)</td>
<td valign="middle" align="center">0.11</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">0.43</td>
</tr>
<tr>
<td valign="middle" align="center">grade &#x2265;3</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1814</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.24 (0.84-1.84)</td>
<td valign="middle" align="center">0.28</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">0.68</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Constipation</td>
<td valign="middle" align="center">any grade</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">2188</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.12 (0.94-1.33)</td>
<td valign="middle" align="center">0.19</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">0.40</td>
</tr>
<tr>
<td valign="middle" align="center">grade &#x2265;3</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">2188</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.22 (0.60-2.48)</td>
<td valign="middle" align="center">0.59</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">0.84</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Nausea</td>
<td valign="middle" align="center">any grade</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">2673</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.19 (1.00-1.43)</td>
<td valign="middle" align="center">0.05</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">0.45</td>
</tr>
<tr>
<td valign="middle" align="center">grade &#x2265;3</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">2673</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.50 (0.83-2.70)</td>
<td valign="middle" align="center">0.18</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">0.74</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Pyrexia</td>
<td valign="middle" align="center">any grade</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">2888</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.23 (1.04-1.46)</td>
<td valign="middle" align="center">0.01</td>
<td valign="middle" align="center">29%</td>
<td valign="middle" align="center">0.23</td>
</tr>
<tr>
<td valign="middle" align="center">grade &#x2265;3</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">2888</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.02 (0.59-1.74)</td>
<td valign="middle" align="center">0.96</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">0.98</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Peripheral edema</td>
<td valign="middle" align="center">any grade</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">1973</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">1.06 (0.87-1.30)</td>
<td valign="middle" align="center">0.55</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">0.72</td>
</tr>
<tr>
<td valign="middle" align="center">grade &#x2265;3</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">1973</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">0.82 (0.34-1.99)</td>
<td valign="middle" align="center">0.66</td>
<td valign="middle" align="center">32%</td>
<td valign="middle" align="center">0.23</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Pneumonia</td>
<td valign="middle" align="center">any grade</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">1613</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">2.38 (1.76-3.24)</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">43%</td>
<td valign="middle" align="center">0.17</td>
</tr>
<tr>
<td valign="middle" align="center">grade &#x2265;3</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">1613</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">2.33 (1.62-3.35)</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">0.48</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>R: random effects model;F: fixed effects model.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<title>Subgroup analysis</title>
<p>We introduced the subgroup analyses for PFS regarding sex, age, race, ISS disease stage, type of multiple myeloma, cytogenetic risk, ECOG performance status, baseline creatinine clearance and baseline hepatic function. The detailed data are shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> and <xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figures&#xa0;1</bold>
</xref>&#x2013;<xref ref-type="supplementary-material" rid="SF9">
<bold>9</bold>
</xref>. Differing results were observed only in the MM patients with abnormal creatinine clearance. The quadruplet regimens did not achieve a better PFS (pooled HR = 0.59, 95% CI: 0.31-1.11; moderate heterogeneity, P = 0.06, I&#xb2; = 64%) than triplet regimens in patients with baseline creatinine clearance &#x2264;60ml/min.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Subgroup analyses for PFS.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="2" align="center">Subgroup</th>
<th valign="middle" align="center">Number of Studies</th>
<th valign="middle" align="center">Pooled HR (95% CI)</th>
<th valign="middle" align="center">I<sup>2</sup>
</th>
<th valign="middle" align="center">Model</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="center">Sex</td>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">0.56 (0.45, 0.68)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">0.40 (0.31, 0.52)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Age</td>
<td valign="middle" align="center">&lt;75 yr</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">0.47 (0.37, 0.61)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;75 yr</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">0.64 (0.44, 0.92)</td>
<td valign="middle" align="center">30%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Race</td>
<td valign="middle" align="center">White</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">0.50 (0.40, 0.63)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" align="center">Other</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">0.29 (0.15, 0.57)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">ISS disease stage</td>
<td valign="middle" align="center">I</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">0.53 (0.37, 0.75)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" align="center">II</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">0.40 (0.31, 0.52)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" align="center">III</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">0.52 (0.38, 0.70)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Type of multiple myeloma</td>
<td valign="middle" align="center">IgG</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">0.43 (0.35, 0.54)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" align="center">Non-IgG</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">0.62 (0.43, 0.89)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Cytogenetic risk</td>
<td valign="middle" align="center">Standard</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">0.42 (0.34, 0.51)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" align="center">High</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">0.65 (0.47, 0.88)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">ECOG performance status</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">0.44 (0.34, 0.57)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;1</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">0.49 (0.40, 0.61)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Baseline creatinine clearance</td>
<td valign="middle" align="center">&#x2264;60ml/min</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">0.59 (0.31, 1.11)</td>
<td valign="middle" align="center">64%</td>
<td valign="middle" align="center">R</td>
</tr>
<tr>
<td valign="middle" align="center">&gt;60ml/min</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">0.56 (0.43, 0.74)</td>
<td valign="middle" align="center">39%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Baseline hepatic function</td>
<td valign="middle" align="center">Normal</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">0.50 (0.41, 0.63)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
<tr>
<td valign="middle" align="center">Impaired</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">0.39 (0.23, 0.66)</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">F</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>R, random effects model; F, fixed effects model.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_7">
<title>Heterogeneity analysis</title>
<p>Heterogeneity analysis was introduced in the primary outcomes: PFS, any grade of pneumonia and pneumonia grade &#x2265; 3. No statistically significant heterogeneity was detected. The results are shown in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref> and <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
</sec>
<sec id="s3_8">
<title>Sensitivity analysis</title>
<p>We introduced the sensitivity analysis to assess the influence of each study on the pooled outcomes by removing single trial each time in primary outcomes, including PFS, any grade of pneumonia and pneumonia grade &#x2265; 3. No individual study substantially affected the pooled results. The results are shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>-<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref>.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Triplet regimens were the standard-of-care treatments in MM (<xref ref-type="bibr" rid="B22">22</xref>). Despite significant improvements in survival for MM patients with VRd and other triplet regimens, MM remains incurable (<xref ref-type="bibr" rid="B23">23</xref>). To achieve deeper remission or potential cure for MM, additional agents have been integrated into standard triplet regimens, forming quadruplet combinations. This meta-analysis was conducted to assess whether daratumumab-incorporated quadruplet regimens provide advantages over the standard triplet regimens in patients with NDMM. This study demonstrated that the incorporation of daratumumab into triplet regimens was associated with significantly improved ORR (pooled OR = 2.36, P &lt; 0.0001), MRD negativity (pooled OR = 3.55, P &lt; 0.0001), and PFS (pooled HR = 0.45, P &lt; 0.0001). These findings are clinically significant and may assist clinicians in selecting the most effective anti-myeloma regimen for patients with NDMM.</p>
<p>In patients with NDMM across varying cytogenetic risks, the efficacy of daratumumab-incorporated quadruplet regimens in improving PFS compared with standard triplet regimens has been a subject of considerable research (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B21">21</xref>). This question is particularly contentious for high cytogenetic risk patients, where the superiority of daratumumab incorporating remains uncertain (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Among the clinical studies we reviewed, only the PERSEUS (<xref ref-type="bibr" rid="B18">18</xref>) study demonstrated a significant improvement in PFS (HR [95% CI]: 0.59 [0.36, 0.99]) with D-VRd compared with VRd in high cytogenetic risk patients. In contrast, other studies, including ALCYONE (HR [95% CI]: 0.78 [0.43, 1.43]) (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>), CASSIOPEIA (HR [95% CI]: 0.67 [0.35, 1.30]) (<xref ref-type="bibr" rid="B21">21</xref>), AMaRC 03-16 (HR [95% CI]: 0.70 [0.25, 1.98]) (<xref ref-type="bibr" rid="B15">15</xref>) and OCTANS (HR [95% CI]: 0.34 [0.09, 1.32]) (<xref ref-type="bibr" rid="B20">20</xref>), did not report a PFS advantage with the quadruplet regimens. After conducting a meta-analysis of the available data, we found that the daratumumab-incorporated quadruplet regimens significantly improved PFS in patients with high cytogenetic risk. This analysis helps to clarify the conflicting results observed in previous trials, where some studies did not report a PFS benefit with the quadruplet regimens in high cytogenetic risk patients group. Our findings provide valuable clinical insights into the treatment strategy for high cytogenetic risk patients with NDMM.</p>
<p>The potential benefit of incorporating daratumumab to improve survival in elderly patients remains a subject of ongoing&#xa0;debate (<xref ref-type="bibr" rid="B24">24</xref>). Its inclusion may result in stronger immunosuppression, particularly pronounced in elderly patients, thereby increasing the risk of infections, fever, and other adverse events (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). The higher incidence of adverse events could diminish the therapeutic advantage of daratumumab, potentially limiting its benefit on survival. In NDMM patients over 75 years old, the ALCYONE (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>) trial demonstrated that D-VMP resulted in better PFS than VMP, but the AMaRC 03-16 (<xref ref-type="bibr" rid="B15">15</xref>) trial did not show superior PFS with the D-VCD compared with VCD. Therefore, we conducted a subgroup analysis based on age. The results after pooling the data suggest that in elderly patients over 75 years old, daratumumab-incorporated quadruplet regimens resulted in longer PFS compared with standard triplet regimens. This finding provides important guidance for the treatment of elderly NDMM patients.</p>
<p>Based on its metabolism being independent of renal function and its role in rapidly reducing free light chains (FLCs), daratumumab is considered to have significant therapeutic advantages in MM patients with renal insufficiency (RI) (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>). Previous meta-analysis demonstrated that addition of daratumumab to backbone regimens significantly improved PFS and OS in NDMM with RI (<xref ref-type="bibr" rid="B29">29</xref>). However, this study found that, in MM patients with baseline creatinine clearance &#x2264;60ml/min, the addition of daratumumab did not achieve a better PFS. This may be attributed to the insufficient number of studies (only three clinical trials) included in the subgroup analysis of patients with renal dysfunction in our meta-analysis.</p>
<p>The adverse events of the quadruplet regimens are a major concern for clinicians. Our meta-analysis confirmed that the addition of daratumumab results in an increased rate of lymphopenia. Since CD38 is not only expressed on the surface of myeloma cells but also on some B lymphocytes, daratumumab may lead to lymphopenia (<xref ref-type="bibr" rid="B10">10</xref>). The reduction of lymphocytes will further result in immunosuppression, thus increasing the chance of infection. This may explain why quadruplet regimens had higher incidence of upper respiratory tract infection, pneumonia and pyrexia than triplet. These findings suggest that clinicians should pay more attention to the immune system and infections of patients when the quadruplet regimens were adopted.</p>
<p>This study has several limitations. First, due to the inability to obtain relevant data, we are unable to assess whether the addition of daratumumab would result in an OS benefit. Second, although we aimed to evaluate the association between daratumumab and survival in patients with specific high-risk cytogenetic abnormalities, such as del(17p) or P53 mutations, this analysis could not be completed due to the lack of relevant data. Third, due to the limited number of included studies, Begg&#x2019;s and Egger&#x2019;s tests could not be used to reliably assess publication bias.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>The present study suggests that incorporating daratumumab into backbone triplet regimens is associated with improved response rates, deeper remission and prolonged PFS with acceptable safety in patients with NDMM.</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: Writing &#x2013; original draft, Formal Analysis, Software. JW: Writing &#x2013; review &amp; editing, Formal Analysis. DF: Data curation, Writing &#x2013; review &amp; editing. LJ: Writing &#x2013; review &amp; editing, Data curation. TL: Writing &#x2013; review &amp; editing. JC: Supervision, Writing &#x2013; original draft.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<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="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2025.1619115/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2025.1619115/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="ST1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Image1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Subgroup analyses for PFS regarding sex.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image2.tif" id="SF2" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>Subgroup analyses for PFS regarding age.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image3.tif" id="SF3" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;3</label>
<caption>
<p>Subgroup analyses for PFS regarding race.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image4.tif" id="SF4" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;4</label>
<caption>
<p>Subgroup analyses for PFS regarding ISS disease stage.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image5.tif" id="SF5" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;5</label>
<caption>
<p>Subgroup analyses for PFS regarding type of multiple myeloma.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image6.tif" id="SF6" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;6</label>
<caption>
<p>Subgroup analyses for PFS regarding cytogenetic risk.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image7.tif" id="SF7" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;7</label>
<caption>
<p>Subgroup analyses for PFS regarding ECOG performance status.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image8.tif" id="SF8" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;8</label>
<caption>
<p>Subgroup analyses for PFS regarding baseline creatinine clearance.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image9.tif" id="SF9" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;9</label>
<caption>
<p>Subgroup analyses for PFS regarding baseline hepatic function.</p>
</caption>
</supplementary-material>
</sec>
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