<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Archiving and Interchange DTD v2.3 20070202//EN" "archivearticle.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="systematic-review" dtd-version="2.3" xml:lang="EN">
<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.2024.1355643</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>Clinical efficacy and safety of combined anti-BCMA and anti-CD19 CAR-T cell therapy for relapsed/refractory multiple myeloma: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Xu</surname>
<given-names>Han</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Guan</surname>
<given-names>Chaoyang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Peipei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1896299"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Dongming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2251266"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Yong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Bing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bai</surname>
<given-names>Hua</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/878737"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Hematology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Medicine, Southeast University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Satoshi Yoshihara, Hyogo Medical University, Japan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Michael P. Gustafson, Mayo Clinic Arizona, United States</p>
<p>Qi Deng, Tianjin First Central Hospital, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Bing Chen, <email xlink:href="mailto:chenbing2004@126.com">chenbing2004@126.com</email>; Hua Bai, <email xlink:href="mailto:baihua92@126.com">baihua92@126.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>04</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>1355643</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>12</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>03</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Xu, Guan, Xu, Zhou, Xu, Chen and Bai</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Xu, Guan, Xu, Zhou, Xu, Chen and Bai</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>The low rates of durable response against relapsed/refractory multiple myeloma (RRMM) in recent studies prompt that chimeric antigen receptor (CAR)-T cell therapies are yet to be optimized. The combined anti-BCMA and anti-CD19 CAR-T cell therapy showed high clinical efficacy in several clinical trials for RRMM. We here conducted a meta-analysis to confirm its efficacy and safety.</p>
</sec>
<sec>
<title>Methods</title>
<p>We collected data from Embase, Web of Science, PubMed, CNKI, Wanfang and Cochrane databases up to April 2023. We extracted and evaluated data related to the efficacy and safety of combined anti-BCMA and anti-CD19 CAR-T cell therapies in RRMM patients. The data was then analyzed using RevMan5.4 and StataSE-64 software. PROSPERO number was CRD42023455002.</p>
</sec>
<sec>
<title>Results</title>
<p>Our meta-analysis included 12 relevant clinical trials involving 347 RRMM patients who were treated with combined anti-BCMA and anti-CD19 CAR-T cell therapies. For efficacy assessment, the pooled overall response rate (ORR) was 94% (95% CI: 91%-98%), the complete response rate (CRR) was 50% (95% CI: 29%-71%), and the minimal residual disease (MRD) negativity rate within responders was 73% (95% CI: 66%-80%). In terms of safety, the pooled all-grade cytokine release syndrome (CRS) rate was 98% (95% CI: 97%-100%), grade&#x2265;3 CRS rate was 9% (95% CI: 4%-14%), and the incidence of neurotoxicity was 8% (95% CI: 4%-11%). Of hematologic toxicity, neutropenia was 82% (95% CI: 75%-89%), anemia was 71% (95% CI: 53%-90%), thrombocytopenia was 67% (95% CI: 40%-93%) and infection was 42% (95% CI: 9%-76%). The median progression-free survival (PFS) was 12.97 months (95% CI: 6.02-19.91), and the median overall survival (OS) was 26.63 months (95% CI: 8.14-45.11).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>As a novel immunotherapy strategy with great potential, the combined anti-BCMA and anti-CD19 CAR-T cell therapy showed high efficacy in RRMM, but its safety needs further improvement. This meta-analysis suggests possible optimization of combined CAR-T therapy.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>
<uri xlink:href="https://www.crd.york.ac.uk/PROSPERO/">https://www.crd.york.ac.uk/PROSPERO/</uri>, identifier CRD42023455002.</p>
</sec>
</abstract>
<kwd-group>
<kwd>CAR-T</kwd>
<kwd>BCMA</kwd>
<kwd>CD19</kwd>
<kwd>myeloma</kwd>
<kwd>efficacy</kwd>
<kwd>safety</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="15"/>
<word-count count="5870"/>
</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>Multiple myeloma (MM) is the second most prevalent hematological malignancy (<xref ref-type="bibr" rid="B1">1</xref>). Despite significant improvement in treatment outcomes due to novel agents, such as immunomodulatory drugs, protease inhibitors and anti-CD38 monoclonal antibodies, the prognosis remains grim for refractory/relapsed multiple myeloma (RRMM) (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Currently, anti-BCMA chimeric antigen receptor (CAR)-T cell therapies have yielded significant clinical outcomes in RRMM patients, with anti-BCMA CAR-T cell products approved by the US FDA (idecabtagene vicleucel in March 2021 and ciltacabtagene autoleucel in February 2022 (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>)), that Phase II clinical trials demonstrated overall response rates (ORR) of 70%-95% (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). However, due to the high relapse rate of post-CAR-T cell therapies, largely attributed to antigen escape (<xref ref-type="bibr" rid="B8">8</xref>), there is a need for more effective CAR-T-based regimens.</p>
<p>CD19, which is expressed on multiple differentiated MM cells and myeloma-like stem cells, is associated with enhanced MM drug resistance and tumor-propagation (<xref ref-type="bibr" rid="B9">9</xref>). Previous studies have reported the synergistic effects of CD19-targeted therapies with other MM therapies (<xref ref-type="bibr" rid="B10">10</xref>). The combination of anti-CD19 CAR-T cell therapy and autologous stem cell transplantation has shown significant clinical outcomes in RRMM patients (<xref ref-type="bibr" rid="B11">11</xref>). Additionally, the ultra-low expression of CD19 in MM cells can trigger elimination by anti-CD19 CAR-T cell therapies (<xref ref-type="bibr" rid="B12">12</xref>), establishing CD19 as a crucial biomarker of RRMM and a therapeutic target of CAR-T cell therapies. Multiple studies utilizing anti-BCMA and anti-CD19 CAR-T infusion have obtained significant clinical outcomes in proof-of-concept trials for RRMM patients (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>This meta-analysis discusses the clinical efficacy and safety of combined anti-BCMA and anti-CD19 CAR-T cell therapies in RRMM. The strengths of this study include the large sample size, comprehensive range of clinical trials, valuable evaluation index system and in-depth subgroup analyses, collectively facilitating the application of combined infusion with CAR-T cell therapies.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Methods</title>
<p>This pre-registered systematic review with meta-analysis adheres to the guidelines provided by the PRISMA checklist (PROSPERO reference number # CRD42023455002) (<xref ref-type="bibr" rid="B16">16</xref>).</p>
</sec>
<sec id="s2_2">
<title>Literature search</title>
<p>We conducted a comprehensive search across various databases including Embase, PubMed, CNKI, Wanfang Databases, Cochrane library, and Web of Science. Records were searched from their inception up until April 20, 2023, without any language restrictions. Our search strategy employed a combination of free-text terms and Mesh terms related to &#x201c;BCMA&#x201d;, &#x201c;CD19&#x201d;, &#x201c;chimeric antigen receptor&#x201d;, &#x201c;CAR&#x201d; and &#x201c;multiple myeloma&#x201d;. To ensure a thorough approach, a comprehensive search of PROSPERO for relevant systematic reviews was also performed.</p>
</sec>
<sec id="s2_3">
<title>Selection criteria</title>
<p>Inclusion criteria for the studies were as follows: study types were Phase I and II clinical trials or retrospective analyses, whether single center or multicenter; the inclusion of patients with RRMM; treatment of patients with combined anti-BCMA and anti-CD19 CAR-T cell therapies; and reporting of outcomes data such as partial response (PR), very good partial response (VGPR), complete response (CR), overall response rate (ORR), minimal residual disease (MRD) negativity, overall survival (OS), progression-free survival (PFS), cytokine-release syndrome (CRS), neurotoxicity, hematologic toxicity (neutropenia, anemia and thrombocytopenia), infection and recurrence. Studies were excluded if they did not meet the following criteria: less than 5 patients participating in the clinical study; treatment of patients with combinations of other therapies; or if they were case reports, observational studies, animal studies, reviews or abstracts.</p>
</sec>
<sec id="s2_4">
<title>Data extraction</title>
<p>We defined the inclusion criteria according to the PICOS criteria. P: participants (RRMM patients), I: interventions (combined anti-BCMA and anti-CD19 CAR-T cell therapy), C: comparisons (this analysis included single-arm studies without a control group), O: outcomes (the outcome was the efficacy and safety of combined anti-BCMA and anti-CD19 CAR-T cell therapy), S: study designs (Phase I and II clinical trials or retrospective analyses). Data from studies meeting the inclusion criteria were independently and dually extracted by two authors of this study. The extracted features include study characteristics (author, publication time and median follow-up time), patient characteristics (number, age, gender, high-risk cytogenetics, the proportion of ISS III stage, extramedullary disease, prior lines of therapy, time since diagnosis, mAb exposed, prior ASCT, BCMA and CD19 positivity requirement at enrollment), characteristics of combined anti-BCMA and anti-CD19 CAR-T cell therapy (infusion dose, infusion time, conditioning treatment, antigen-recognition domain, costimulatory molecule and loading regimen) and study outcomes (clinical response, MRD negativity rate, recurrence rate and toxicity). In the cases of disagreement between the two authors, a third person in this study settled the discussion.</p>
</sec>
<sec id="s2_5">
<title>Literature quality assessment and publication bias</title>
<p>The Methodological Index for Non-randomized Studies (MINORS) (<xref ref-type="bibr" rid="B17">17</xref>) was employed to assess the quality of the incorporated studies. The index comprises 12 points, with four specifically designed for comparative research. Only the first eight items were used to evaluate the included studies, as none of them had a control group. The maximum score was 16 points for each study, with scores ranging from 0 to 2 for each item. We used Egger test, Begg test and funnel plots to explore the potential publication bias.</p>
</sec>
<sec id="s2_6">
<title>Statistical analysis</title>
<p>All statistical analyses were conducted using RevMan5.4 and StataSE-64 software. We applied the inverse variance method to consolidate the effect estimates. To derive pooled results from various studies, we calculated both response rates and rates of adverse effects, providing them with their respective 95% confidence intervals (CI). The chi-squared test and the I-squared test (I<sup>2</sup> test) were used for assessing the heterogeneity among the included studies. The fixed effect model was applied when I<sup>2</sup>&lt;50%, indicating that heterogeneity was not statistically significant while the random effect model was employed when I<sup>2</sup>&#x2265;50% suggesting that there was heterogeneity in the literature. The heterogeneity was further investigated by organizing subgroups based on age (&lt;55 and &#x2265;55 years), gender (male&#x2265;50% and male&lt;50%), infusion dose (high dose group&#x2265;500&#xd7;10<sup>6</sup> cells or 10&#xd7;10<sup>6</sup> cells/kg and low dose group&lt;500&#xd7;10<sup>6</sup> cells or 10&#xd7;10<sup>6</sup> cells/kg), infusion time (same day and not same day), antigen-recognition domain origin (Murine and Human), costimulatory molecule (4-1BB and others), the median time from diagnosis (&lt;2 and &#x2265;2 years), lines of prior treatment (&lt;4 and &#x2265;4), previous ASCT (&lt;50% and &#x2265;50%), high-risk cytogenetics (&lt;50% and &#x2265;50%), extramedullary disease (&lt;20% and &#x2265;20%), the proportion of ISS III stage (&lt;50% and &#x2265;50%), mAb exposed (&lt;20% and &#x2265;20%), and conditioning treatment (Cy+Flu and Cy+Busulfan). We defined a <italic>p</italic> of &#x2264;0.05 as statistically significant. We also conducted a sensitivity analysis to identify and remove potentially high-risk bias studies, and to determine whether these studies significantly affect the outcomes.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Literature search results and characteristics</title>
<p>The PRISMA flow diagram illustrates the search strategy used to locate relevant literature (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). A comprehensive database search yielded 125 records, 42 of which were duplicates and were eliminated. An additional 36 records were excluded based on their title/abstract information. The remaining 47 potential pieces of relevant literature underwent further review. Following a more detailed assessment, 12 studies involving 347 participants were selected for meta-analysis (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>). <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref> provide a summary of the characteristics of the 12 studies and the 347 patients treated with combined anti-BCMA and anti-CD19 CAR-T cell therapies, respectively.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>PRISMA flow diagram for the record selection process.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1355643-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">NO.</th>
<th valign="top" align="center">First author</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">n=</th>
<th valign="top" align="center">Median Follow-up Time (month)</th>
<th valign="top" align="center">Median PFS (month)</th>
<th valign="top" align="center">Median OS (month)</th>
<th valign="top" align="center">Conditioning treatment</th>
<th valign="top" align="center">CAR-T infusion dose</th>
<th valign="top" align="center">CAR-T infusion time</th>
<th valign="top" align="center">Antigen-recognition domain</th>
<th valign="top" align="center">Costimulatory molecule</th>
<th valign="top" align="center">Loading</th>
<th valign="top" align="center">T cell origin</th>
<th valign="top" align="center">Clinical response</th>
<th valign="top" align="center">Toxicity</th>
<th valign="top" align="center">MRD negativity rate</th>
<th valign="top" align="center">Recurrence rate within 1 year (%)</th>
<th valign="top" align="center">Recurrence rate within 2 years (%)</th>
<th valign="top" align="center">MINORS score</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">Alfred L. Garfall</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">4.5+</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">Flu 30 mg/m2+ Cy 300 mg/m2 daily for 3d</td>
<td valign="top" align="center">BCMA: 5&#xd7;10^8 cells CD19: 5&#xd7;10^8 cells</td>
<td valign="top" align="center">Infused on the same day (Day1: 10%, Day2: 30% Day3 60%)</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">ORR:0.8 sCR+CR:0.1 VGPR:0.4 PR:0.3 SD:0.2</td>
<td valign="top" align="center">CRS gr. 1&#x2013;2:0.8</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">Alfred L. Garfall</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">30+</td>
<td valign="top" align="center">7.85</td>
<td valign="top" align="center">26.6+</td>
<td valign="top" align="center">Flu 30 mg/m2+ Cy 300 mg/m2 daily for 3d</td>
<td valign="top" align="center">BCMA: 5&#xd7;10^8 cells CD19: 5&#xd7;10^8 cells</td>
<td valign="top" align="center">Infused on the same day (Day1: 10%, Day2: 30% Day3 60%) CART-BCMA was infused first and CART-CD19 infused after at least 1 hour of observation</td>
<td valign="top" align="center">A fully human anti-BCMA scFv and a fully human anti-CD19 scFv.</td>
<td valign="top" align="center">4-1BB</td>
<td valign="top" align="center">Lentiviral</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">ORR:0.95 sCR+CR:0.25 VGPR:0.4 PR:0.3 MR:0.05</td>
<td valign="top" align="center">CRS gr. 1&#x2013;2:0.85 Neurotoxicity:0.05 Neutropenia:0.75 Anaemia:0.25 Thrombocytopenia:0.3 Infection:0.15</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.8</td>
<td valign="top" align="center">16</td>
</tr>
<tr>
<td valign="top" align="center">3</td>
<td valign="top" align="center">Dian Zhou</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">20.5</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">Flu 30 mg/m2 on Day -5 to -2 + Cy 750 mg/m2 on Day -5</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">Autologous</td>
<td valign="top" align="center">ORR:0.66</td>
<td valign="top" align="center">CRS gr. 1&#x2013;2:0.83 gr. 3&#x2013;4:0.17 Infection:0.457</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" colspan="2" align="center">0.343</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="center">4</td>
<td valign="top" align="center">Hujun Li</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">24.3</td>
<td valign="top" align="center">16.4</td>
<td valign="top" align="center">42.8</td>
<td valign="top" align="center">Flu 30 mg/m2 on Day-5 to -3+ Cy 750 mg/m2 on Day-5</td>
<td valign="top" align="center">BCMA: 1&#xd7; 10^6 cells/kg CD19: 1&#xd7;10^6 cells/kg</td>
<td valign="top" align="center">Infused on the same day (on Day 0)</td>
<td valign="top" align="center">A murine anti-BCMA scFv and a fully human anti-CD19 scFv.</td>
<td valign="top" align="center">4-1BB, CD3&#x3b6;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">Autologous</td>
<td valign="top" align="center">ORR:0.94 sCR+CR:0.53 VGPR:0.22 PR:0.19 SD:0.06</td>
<td valign="top" align="center">CRS gr. 1&#x2013;2:0.87 gr. 3&#x2013;4:0.13 Infection:0.48 Neutropenia:0.17 Severe anemia:0.46 Thrombocytopenia:0.61 Neurotoxicity:0.04</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" colspan="2" align="center">0.62</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="center">5</td>
<td valign="top" align="center">Lingzhi Yan</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">Flu + Cy</td>
<td valign="top" align="center">BCMA: 2-6.8&#xd7;10^7cells/kg CD19: 1&#xd7;10^7cells/kg</td>
<td valign="top" align="center">CD19: Infused on Day 0 BCMA: 40% on Day1, 60% on Day2</td>
<td valign="top" align="center">A fully human anti-BCMA scFv and a fully human anti-CD19 scFv.</td>
<td valign="top" align="center">BCMA:CD28, CD3&#x3b6; CD19: CD28, CD3&#x3b6;, IL-6 shRNA cassette</td>
<td valign="top" align="center">Lentiviral</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">ORR:0.93 sCR+CR:0.41 VGPR:0.3 PR:0.19 MR:0.04 SD:0.04</td>
<td valign="top" align="center">CRS gr. 1&#x2013;2:0.68 gr. 3&#x2013;4:0.32 Severe anemia:0.28 Anaemia:1 Cytopenia:1</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="center">6</td>
<td valign="top" align="center">Lingzhi Yan</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">20+</td>
<td valign="top" align="center">8+</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">Flu 30&#xa0;mg/m2+ Cy 300&#xa0;mg/m2 daily on Day-5 to -3</td>
<td valign="top" align="center">BCMA: 3.0, 5.0 and 6.5 &#xd7;10^7cells/kg CD19: 1&#xd7;10^7cells/kg</td>
<td valign="top" align="center">CD19: Infused on Day 0 BCMA: 40% on Day1, 60% on Day2</td>
<td valign="top" align="center">A fully human anti-BCMA scFv and a fully human anti-CD19 scFv.</td>
<td valign="top" align="center">BCMA:CD28, CD3&#x3b6; CD19: CD28, CD3&#x3b6;, IL-6 shRNA cassette</td>
<td valign="top" align="center">Lentiviral</td>
<td valign="top" align="center">70%: Autologous 30%: Allogenic</td>
<td valign="top" align="center">ORR:0.9 sCR:0.4 PR:0.5</td>
<td valign="top" align="center">CRS gr. 1&#x2013;2:0.9 gr. 3&#x2013;4:0.1 Neurotoxicity:0.1 Neutropenia:0.9 Anemia:0.9 Thrombocytopenia:0.8 Infection:0.4 Fever:0.9</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">16</td>
</tr>
<tr>
<td valign="top" align="center">7</td>
<td valign="top" align="center">Sha Ma</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">Flu 30 mg/m2 on Day-5 to -3+ Cy 750 mg/m2 on Day-5</td>
<td valign="top" align="center">BCMA: 2.0&#xd7;10^6 cells/kg CD19: 2.0&#xd7;10^6 cells/kg</td>
<td valign="top" align="center">Infused on the same day (on Day 0)</td>
<td valign="top" align="center">A murine anti-BCMA scFv and a human anti-CD19 scFv.</td>
<td valign="top" align="center">4-1BB, CD3&#x3b6;</td>
<td valign="top" align="center">Lentiviral</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">CRS gr. 1&#x2013;2:0.86 gr. 3-4:0.04 Neurotoxicity:0.16</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="center">8</td>
<td valign="top" align="center">Xiaolan Shi</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">Busulfan+ Cy followed by infusion of autologous stem cells</td>
<td valign="top" align="center">CD19: 1&#xd7;107 cells/kg BCMA: &#x2014;</td>
<td valign="top" align="center">CD19: Infused on Day 0 BCMA: 40% on Day1, 60% on Day2</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">CD28, OX40, CD3&#x3b6;</td>
<td valign="top" align="center">Lentiviral</td>
<td valign="top" align="center">Autologous</td>
<td valign="top" align="center">ORR:1 sCR+CR:0.33 VGPR:0.67</td>
<td valign="top" align="center">CRS gr. 1&#x2013;2 :1 Fatigue:1 Infection:1 Coagulation disorders:0.67</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" align="center">9</td>
<td valign="top" align="center">Xiaolan Shi</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">10.7</td>
<td valign="top" align="center">21.1</td>
<td valign="top" align="center">Busulfan+ Cy or Melphalan followed by infusion of autologous stem cells</td>
<td valign="top" align="center">CD19: 1&#xd7;107/kg(on d0) BCMA: &#x2014;</td>
<td valign="top" align="center">CD19: Infused on Day 0 BCMA: 40% on Day1, 60% on Day2</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">CD28, OX40, CD3&#x3b6;</td>
<td valign="top" align="center">Lentiviral</td>
<td valign="top" align="center">Autologous</td>
<td valign="top" align="center">ORR:1 sCR+CR:0.72</td>
<td valign="top" align="center">CRS gr.1-2:0.97 gr.3-4:0.03</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="center">10</td>
<td valign="top" align="center">Xiaolan Shi</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">30+</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">Busulfan 2.4 mg/kg daily on Day-8 to -5+ Cy 1.8 g/m2 on Day-4 to -3</td>
<td valign="top" align="center">BCMA: 5.0&#xd7;10^7cells/kg CD19: 1.0&#xd7;10^7cells/kg</td>
<td valign="top" align="center">CD19: Infused on Day 0 BCMA: 40% on Day1, 60% on Day2</td>
<td valign="top" align="center">A murine anti-BCMA scFv and a murine anti-CD19 scFv.</td>
<td valign="top" align="center">BCMA: CD28, OX40, CD3&#x3b6; CD19: 4-1BB, CD3&#x3b6;</td>
<td valign="top" align="center">Lentiviral</td>
<td valign="top" align="center">Autologous</td>
<td valign="top" align="center">ORR:1 sCR:0.9 CR:0.1</td>
<td valign="top" align="center">CRS gr. 1&#x2013;2 :1 Thrombocytopenia:1 Anaemia:1 Neutropenia:0.9 Infection:1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.2</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" align="center">11</td>
<td valign="top" align="center">Ying Wang</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">21.3</td>
<td valign="top" align="center">18.3</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">Flu 30 mg/m2 on Day-5 to -3+ Cy 750 mg/m2 on Day-5</td>
<td valign="top" align="center">BCMA: 1.0&#xd7;10^6 cells/kg CD19: 1.0&#xd7;10^6 cells/kg</td>
<td valign="top" align="center">Infused on the same day (on Day 0)</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">BCMA: 4-1BB CD3&#x3b6; CD19: 4-1BB CD3&#x3b6;</td>
<td valign="top" align="center">Lentiviral</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">ORR:0.92 sCR+CR:0.59 VGPR:0.19 PR:0.13 MR:0.02 SD:0.06</td>
<td valign="top" align="center">CRS gr. 1&#x2013;2:0.85 gr. 3&#x2013;4:0.1 Neurotoxicity:0.11 Infection:0.41 B-cell dysplasia:0.3 Cytopenia:0.17 Hypogammaglobulinemia:0.3</td>
<td valign="top" align="center">0.77</td>
<td valign="top" colspan="2" align="center">0.46</td>
<td valign="top" align="center">16</td>
</tr>
<tr>
<td valign="top" align="center">12</td>
<td valign="top" align="center">Zhiling Yan</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">Flu 30 mg/m2 on Day-5 to -3 + Cy 750 mg/m2 on Day-5</td>
<td valign="top" align="center">BCMA: 1.0&#xd7;10^6 cells/kg CD19: 1.0&#xd7;10^6 cells/kg</td>
<td valign="top" align="center">Infused on the same day (on Day 0)</td>
<td valign="top" align="center">A murine anti-BCMA ScFv and a human anti-CD19 scFv.</td>
<td valign="top" align="center">4-1BB, CD3&#x3b6;</td>
<td valign="top" align="center">Lentiviral</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">ORR:0.95 sCR+CR:0.57 VGPR:0.24 PR:0.14</td>
<td valign="top" align="center">CRS gr. 1&#x2013;2:0.86 gr. 3&#x2013;4:0.04 Neutropenia:0.86 Anemia:0.62 Thrombocytopenia:0.62 Neurotoxicity:0.095 Infection:0.05 Fever: 0.90</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">14</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PFS, progression-free survival; OS, overall survival; Cy, cyclophosphamide; Flu, fludarabine; ScFv, single-chain variable fragment; ORR, overall response rate; sCR, stringent complete response; CR, complete response; MRD, minimal residual disease; CRS, cytokine release syndrome; gr, grade.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Characteristics of included patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">NO.</th>
<th valign="top" align="center">First author</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Median age</th>
<th valign="top" align="center">n=</th>
<th valign="top" align="center">Male/Female</th>
<th valign="top" align="center">ISS3<break/>(%)</th>
<th valign="top" align="center">High-risk cytogenetics (%)</th>
<th valign="top" align="center">Extramedullary Disease<break/>(%)</th>
<th valign="top" align="center">Prior lines of therapy (median)</th>
<th valign="top" align="center">Time since diagnosis (years)</th>
<th valign="top" align="center">mAb exposed<break/>(%)</th>
<th valign="top" align="center">Prior ASCT<break/>(%)</th>
<th valign="top" align="center">BCMA and CD19 positivity requirement at enrollment (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">Alfred L. Garfall</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">55.7</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">90%</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">Alfred L. Garfall</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">57.5</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">6/14</td>
<td valign="top" align="center">35%</td>
<td valign="top" align="center">75%</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">2.25</td>
<td valign="top" align="center">1.95</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">40%</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="center">3</td>
<td valign="top" align="center">Dian Zhou</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">20/15</td>
<td valign="top" align="center">54.30%</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">28%</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.92</td>
<td valign="top" align="center">28.60%</td>
<td valign="top" align="center">28%</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="center">4</td>
<td valign="top" align="center">Hujun Li</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">26/32</td>
<td valign="top" align="center">44%</td>
<td valign="top" align="center">28%</td>
<td valign="top" align="center">28%</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3.33</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">28%</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="center">5</td>
<td valign="top" align="center">Lingzhi Yan</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">57.5</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">23/5</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="center">6</td>
<td valign="top" align="center">Lingzhi Yan</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">56.3</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">7/3</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">60%</td>
<td valign="top" align="center">20%</td>
<td valign="top" align="center">3.8</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">20%</td>
<td valign="top" align="center">60%</td>
<td valign="top" align="center">BCMA:80.6%</td>
</tr>
<tr>
<td valign="top" align="center">7</td>
<td valign="top" align="center">Sha Ma</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">25%</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="center">8</td>
<td valign="top" align="center">Xiaolan Shi</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">8/1</td>
<td valign="top" align="center">33%</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center"/>
<td valign="top" align="center">100%</td>
<td valign="top" align="center">BCMA: 81.7%</td>
</tr>
<tr>
<td valign="top" align="center">9</td>
<td valign="top" align="center">Xiaolan Shi</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">8/24</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">3.10%</td>
<td valign="top" align="center">100%</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="center">10</td>
<td valign="top" align="center">Xiaolan Shi</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">7/3</td>
<td valign="top" align="center">40%</td>
<td valign="top" align="center">80%</td>
<td valign="top" align="center">10%</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center"/>
<td valign="top" align="center">100%</td>
<td valign="top" align="center">CD19: 0 BCMA: 50.3%</td>
</tr>
<tr>
<td valign="top" align="center">11</td>
<td valign="top" align="center">Ying Wang</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">34/28</td>
<td valign="top" align="center">48%</td>
<td valign="top" align="center">29%</td>
<td valign="top" align="center">24%</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">32.30%</td>
<td valign="top" align="center">27%</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="center">12</td>
<td valign="top" align="center">Zhiling Yan</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">10/11</td>
<td valign="top" align="center">19%</td>
<td valign="top" align="center">24%</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">5%</td>
<td valign="top" align="center">14%</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ISS3, phase III in the International Staging System; mAb, monoclonal antibody; ASCT, autologous stem cell transplant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Quality assessment</title>
<p>The median MINORS score for the 12 noncomparative studies was 14 (range 8-16). Quality assessment results showed the eligible quality of the included studies (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). The robust and consistent results of this meta-analysis were evidenced in the funnel diagram, showing no sign of potential publication bias for the overall response (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). The ORR sensitivity analysis indicated that the effect size of the outcome index remained the same regardless of the elimination of any of the studies (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>The scores of MINORS.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">First author</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Clearly stated aim</th>
<th valign="top" align="center">Inclusion of consecutive patients</th>
<th valign="top" align="center">Prospective collection of data</th>
<th valign="top" align="center">Endpoints appropriate to the aim of the study</th>
<th valign="top" align="center">Unbiased assessment of the study endpoint</th>
<th valign="top" align="center">Follow-up period appropriate to the aim of the study</th>
<th valign="top" align="center">Loss to follow up less than 5%</th>
<th valign="top" align="center">Prospective calculation of the study size</th>
<th valign="top" align="center">MINORS score</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Alfred L. Garfall</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" align="left">Alfred L. Garfall</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">16</td>
</tr>
<tr>
<td valign="top" align="center">Dian Zhou</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="center">Hujun Li</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="center">Lingzhi Yan</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="center">Lingzhi Yan</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">16</td>
</tr>
<tr>
<td valign="top" align="center">Sha Ma</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="center">Xiaolan Shi</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" align="center">Xiaolan Shi</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="center">Xiaolan Shi</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" align="center">Ying Wang</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">16</td>
</tr>
<tr>
<td valign="top" align="center">Zhiling Yan</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">14</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(A)</bold> No significant publication bias is noted on the funnel plot. <bold>(B)</bold> Sensitivity analysis is performed by the &#x201c;Leave-One-Out&#x201d; approach to assess the stability of our results, the scatter plot shows the result is stable.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1355643-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Effectiveness outcomes from meta-analysis</title>
<p>The effectiveness of combined anti-BCMA and anti-CD19 CAR-T cell therapy in RRMM patients was based on 12 studies, yielding favorable outcome rates. The pooled ORR was 94% (95% CI: 91%-98%; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>) according to data from 11 studies involving 291 patients. In ten studies reporting the CRR, the pooled CRR was 50% (95% CI: 29%-71%; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>) among 256 patients. The pooled MRD negativity rate was 73% (95% CI: 66%-80%; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>) among six trials that assessed the MRD. The pooled sCR, CR, VGPR, and PR were 42% (95% CI: 24%-61%; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1A</bold>
</xref>), 16% (95% CI: 8%-24%; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1B</bold>
</xref>), 29% (95% CI: 20%-39%; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1C</bold>
</xref>) and 18% (95% CI: 13%-23%; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1D</bold>
</xref>), respectively. The median PFS was 12.97 months (95% CI: 6.02-19.91), and the median OS was 26.63 months (95% CI: 8.14-45.11).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Pooled rates of OR, CR and MRD negativity in patients. <bold>(A)</bold> The pooled ORR is 94%. <bold>(B)</bold> The pooled CRR is 50%. <bold>(C)</bold> The pooled rate of MRD negativity is 73%.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1355643-g003.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Safety outcomes from meta-analysis</title>
<p>The safety of combined anti-BCMA and anti-CD19 CAR-T cell therapy in RRMM was also evaluated in our meta-analysis. CRS was the most common adverse event (AE). <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref> shows that the total incidence of any grade CRS was 98% (95% CI: 97%-100%) among 12 studies; and <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref> shows the pooled incidence of grade&#x2265;3 CRS was 9% (95% CI: 4%-14%). Based on the six studies that reported neurotoxicity, the relevant pooled incidence of neurotoxicity was 8% (95% CI: 4%-11%; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>). Hematologic toxicity was the most frequent therapy-related AE of grade&#x2265;3, including neutropenia (82%, 95% CI: 75%-89), anemia (71%, 95% CI: 53%-90%), and thrombocytopenia (67%, 95% CI: 40%-93%) (<xref ref-type="supplementary-material" rid="SM2">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). The pooled incidence of infection was 42% (95% CI: 9%-76%; <xref ref-type="supplementary-material" rid="SM3">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Pooled incidence of all grade CRS, grade&#x2265;3 CRS and neurotoxicity. <bold>(A)</bold> The pooled incidence of all grade CRS is 98%. <bold>(B)</bold> The pooled incidence of grade&#x2265;3 CRS is 9%. <bold>(C)</bold> The pooled incidence of neurotoxicity is 8%.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1355643-g004.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Recurrence outcomes from meta-analysis</title>
<p>Based on nine studies, our meta-analysis also evaluated the recurrence rates of combined anti-BCMA and anti-CD19 CAR-T cell therapies in RRMM (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>). The combined recurrence rate within one year was 19% (95% CI: 6%-32%; <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>) and two years was 46% (95% CI: 28%-64%; <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Pooled rates of recurrence within 1 and 2 years. <bold>(A)</bold> The pooled rate of recurrence within 1 year is 19%. <bold>(B)</bold> The pooled rate of recurrence within 2 years is 46%.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1355643-g005.tif"/>
</fig>
</sec>
<sec id="s3_6">
<title>Subgroup analysis outcomes of meta-analysis</title>
<p>Subgroup analysis was utilized to investigate factors potentially influencing the effectiveness and safety outcomes of combined anti-BCMA and anti-CD19 CAR-T cell therapy in RRMM patients (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). The factors analyzed include age, gender, infusion dose, infusion time, CAR structures, median time from diagnosis, lines of prior treatment, prior ASCT (%), ISS III level (%), high-risk cytogenetics (%), extramedullary disease (%), mAb exposed (%), and conditioning treatment. The ORR subgroup analysis demonstrated that individuals with improved illness status had a relatively higher ORR than other participants. More specifically, patients under 55 years displayed superior ORR compared to patients of &#x2265;55 years (99% vs. 92%, <italic>p</italic>=0.02). Additionally, participants with ISS I/II stages of disease reported significantly higher ORR than those at the ISS III stage (96% vs. 70%, <italic>p</italic>=0.0002). Compared to the participants who received prior ASCT&#x2265;50%, a significantly higher ORR was attained with those who received prior ASCT&lt;50% (99% vs. 91%, <italic>p</italic>=0.03). A substantially higher ORR was obtained in participants without extramedullary disease compared to those suffering from it (99% vs. 87%, <italic>p</italic>=0.05). Participants whose conditioning treatment was Cy+Busulfan had a higher ORR than those whose conditioning treatment was Cy+Flu ((99% vs. 92%, <italic>p</italic>=0.01). Furthermore, the CRS subgroup analysis revealed that CAR-T cell therapy with 4-1BB in the CAR construct attained a lower risk of CRS than other costimulatory molecules (95% vs. 99%, <italic>p</italic>=0.05).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Subgroup analysis results of ORR and CRS rate.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Subgroups</th>
<th valign="top" colspan="3" align="center">Overall response rate</th>
<th valign="top" colspan="3" align="center">Cytokine-release syndrome rate</th>
</tr>
<tr>
<th valign="top" align="center">No. of trials</th>
<th valign="top" align="center">ORR (95% CI)</th>
<th valign="top" align="center">P for difference</th>
<th valign="top" align="center">No. of trials</th>
<th valign="top" align="center">CRS (95% CI)</th>
<th valign="top" align="center">P for difference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Mean age (years)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.55</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;55</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.92(0.87,0.97)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">10</td>
<td valign="top" align="center">0.98(0.96,1.00)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&lt;55</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.99(0.96,1.02)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.99(0.96,1.02)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Sex</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.75</td>
</tr>
<tr>
<td valign="top" align="left">male &#x2265;50%</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.92(0.85,0.99)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.99(0.97,1.00)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">male &lt;50%</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.97(0.95,1.00)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.98(0.95,1.01)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>CAR-T infusion dose</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.38</td>
</tr>
<tr>
<td valign="top" align="left">high dose group(&#x2265;500 &#xd7; 10^6 cells or 10 &#xd7;10^6 cells/kg)</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.98(0.95,1.00)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.99(0.97,1.01)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">low dose group(&lt;500 &#xd7; 10^6 cells or 10 &#xd7;10^6 cells/kg)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.93(0.89,0.98)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.97(0.95,1.00)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>CAR-T infusion time</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">same day</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.93(0.90,0.97)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.97(0.95,0.99)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">not same day</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.98(0.96,1.01)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.99(0.97,1.01)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Antigen-recognition domain origin (BCMA)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">Human</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.94(0.87,1.00)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.98(0.93,1.02)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Murine</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.96(0.92,1.00)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.96(094,1.01)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Costimulatory molecule</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">4-1BB</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.95(0.92,0.98)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.95(0.92,0.98)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">others</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.98(0.95,1.01)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.99(0.97,1.01)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Median time from diagnosis (years)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.93</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.93(0.88,0.98)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.98(0.96,1.01)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&lt;2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.87(0.79,0.95)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.98(0.95,1.02)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Lines of prior treatment</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.94</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;4</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.92(0.88,0.96)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.98(0.96,1.00)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&lt;4</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.92(0.87,0.99)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.98(0.95,1.01)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Prior ASCT (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;50</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.99(0.96,1.02)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.99(0.97,1.01)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&lt;50</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.91(0.84,0.97)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.97(0.95,1.00)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>ISS3 (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.0002</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.84</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;50</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.70(0.57,0.83)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.99(0.95,1.02)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&lt;50</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.96(0.93,0.99)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.98(0.97,1.00)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>High-risk cytogenetics (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;50</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.97(0.92,1.02)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.98(0.94,1.02)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&lt;50</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.93(0.89,0.98)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.98(0.96,1.00)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Extramedullary Disease (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.89</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;20</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.87(0.78,0.97)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.99(0.97,1.00)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&lt;20</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.99(0.93,1.05)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.99(0.93,1.05)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>mAb exposed (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.33</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;20</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.93(0.87,0.98)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.95(0.92,0.98)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&lt;20</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.98(0.95,1.02)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.99(0.95,1.02)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Conditioning treatment</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">Cy+Flu</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.92(0.89,0.95)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.98(0.96,1.00)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Cy+Busulfan</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.99(0.96,1.02)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.99(0.96,1.02)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Modern advancements in MM treatment have progressed from conventional chemotherapies to more specific immune-based treatments. As a state-of-the-art method, anti-BCMA CAR-T cell therapies have attained remarkable success in RRMM. BCMA, mainly expressed in malignant plasma cells and multiple B cells, is viewed as an eligible target for RRMM CAR-T cell therapies (<xref ref-type="bibr" rid="B27">27</xref>). Previous studies have demonstrated that over 81% RRMM respond to anti-BCMA CAR-T cell therapies, however, most responsive patients tend to relapse eventually (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Bruno et&#xa0;al. found that BCMA expression varied greatly among different MM patients, and that nonresponsive MM patients had plasma cells with lower expression of BCMA (<xref ref-type="bibr" rid="B28">28</xref>). The downregulation of BCMA after infusion of anti-BCMA CAR-T cell therapies, aligning with the onset of MM disease progression, was also observed (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). These findings demonstrate that BCMA escapes the existence and insufficiency of solo antigen-targeting CAR-T cell therapy in MM treatments. The role of CD19 in B-cell lineage differentiation is significant, and its expression generally decreases in MM cells (<xref ref-type="bibr" rid="B30">30</xref>). Previous studies have demonstrated that a small population of less-terminally differentiated CD19<sup>+</sup> plasma cells may construct a drug-resistant, clonogenic disease reservoir that is maintained by components of the bone marrow microenvironment (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). These lead to consider CD19 as a promising target alongside anti-BCMA CAR-T cell therapies. This meta-analysis of 12 clinical trials, inclusive of 347 participants, indicates that combined anti-BCMA and anti-CD19 CAR-T cell therapy deliver remarkable benefits with a controllable safety profile in RRMM.</p>
<p>This meta-analysis, focusing on the efficacy and safety of combined anti-BCMA and anti-CD19 CAR-T cell therapy in RRMM, highlights that all clinical trials show substantial effectiveness. The pooled ORR was 94%, with the highest response rate of 100% reported by Xiaolan Shi et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>), and other results hovered around 90%, demonstrating the considerable effectiveness of the combined CAR-T cell therapy in RRMM. ORR only reflects the quantitative indicators of therapeutic response, while PR, VGPR, CR, sCR and other indicators can reflect the quality of remission. Therefore, we further analyzed the incidence of the therapeutic effect of CR+sCR and identified that the CRR was 50%. Due to the low rate of CR obtained by conventional treatments, even autologous transplantation could only achieve a CR rate of 40% (<xref ref-type="bibr" rid="B33">33</xref>), hence these results suggest significant efficacy in MM treatment using combined anti-BCMA and anti-CD19 CAR-T cell therapy.</p>
<p>In terms of effectiveness, compared with single-target CAR-T therapies, the combined anti-BCMA and anti-CD19 CAR-T therapy showed better efficacy. The reported ORRs were 77% by Yang Q et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>), 85.2% by Zhang L et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>), and 87% by Hu D et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>), which are all lower than our result (94%). Moreover, the reported CRRs were 37% by Yang Q et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>), 47% by Zhang L et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>), and 44% by Hu D et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>), which are all lower than our result (50%).</p>
<p>Despite the excellent efficacy, toxicities of CAR-T cell therapy in RRMM after treatment are also important. CRS, a systemic inflammatory response, is the most common AE following CAR-T infusion (<xref ref-type="bibr" rid="B37">37</xref>). It can result in clinical symptoms such as neurotoxicity, fever and hypotension (<xref ref-type="bibr" rid="B38">38</xref>). In this study, the overall incidence of any grade CRS was 98%, primarily of CRS grade 1 or 2. In addition, neurotoxicity is also a common adverse reaction. Neurotoxicity is a complex syndrome, including encephalopathy, cognitive defect, dysphasia, seizure and cerebral edema (<xref ref-type="bibr" rid="B39">39</xref>), which is thought to be one of the primary challenges to the general application of CAR-T cell therapy (<xref ref-type="bibr" rid="B40">40</xref>). The overall incidence of grade 3 or 4 neurotoxicity was low (8%). Generally, considering the high efficiency of combined anti-BCMA and anti-CD19 CAR-T cell therapies, the safety profile was manageable and tolerable. In the future, a more mechanistic understanding of AE is important to raise the efficacy-to-toxicity ratios of combined CAR-T cell therapies.</p>
<p>In terms of safety, the AEs of CAR-T cell infusion mostly presented as CRS and neurotoxicity (<xref ref-type="bibr" rid="B41">41</xref>). The reported incidences of any grade CRS were 82% by Hu D et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>) and 80.3% by Roex G et&#xa0;al. (<xref ref-type="bibr" rid="B5">5</xref>), which is lower than our result (98%). Otherwise, compared to single-target CAR-T therapy, there was little difference in the incidence of other AEs. The reported incidences of grade 3 or higher CRS were 14% by Yang Q et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>), 11% by Hu D et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>), 14.1% by Roex G et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>), which is all higher than our result (9%). The reported incidences of neurotoxicity were 10% by Hu D et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>), 10.5% by Roex G et&#xa0;al. (<xref ref-type="bibr" rid="B5">5</xref>) and 8% by Xiang, X (<xref ref-type="bibr" rid="B42">42</xref>), which is slightly higher than our result (8%).</p>
<p>The results of subgroup analysis provide valuable insights for the selection of RRMM patients suitable for the combined anti-BCMA and anti-CD19 CAR-T cell therapy. Subgroup analysis of ORR by characteristics of the included participants showed that MM patients with a better disease status tended to acquire better efficacy. Specifically, patients under 55 years old can obtain a higher ORR compared to those aged 55 years and above. Similarly, a greater ORR was observed in patients who had received &#x2265;50% of prior ASCT, compared to those who received less than 50%. This could be attributed to the sequential treatment of ASCT followed by CAR-T therapy, as reported by Xiaolan Shi et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>), presumably placing patients in a good basic condition when starting the CAR-T treatment, thus enhancing the remission effect. Also, compared to the proportion with extramedullary disease &#x2265;20%, a higher ORR was observed with the proportion &lt;20%, probably because myeloma cells proliferate and accumulate in other organs, leading to a worse survival state and a poorer response to the therapy. Another insightful subgroup analysis was performed based on the percentage of ISS III in patients, showing a greater ORR for ISS III &lt;50% as opposed to ISS III &#x2265;50%.</p>
<p>The variations in costimulatory molecules may also have an impact on safety which is reflected in the incidence of CRS. The CRS subgroup analysis revealed that CAR-T cell therapy with 4-1BB in the CAR construct attained a lower risk of CRS than other costimulatory molecules. The second-generation CAR-T is created by combining the cytoplasmic domain of the CD3&#x3be; chain with the signaling domains of co-stimulatory receptors, such as CD28 and 4-1BB, to give T cells a high potential for proliferation, activity, and persistence (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). It has been established that costimulatory molecules play a crucial role in affecting T cell activation, proliferation, survival and cytokine release which regulate tumor immunity (<xref ref-type="bibr" rid="B45">45</xref>). Studies have shown that in preclinical studies, CARs with 4-1BB costimulatory domains typically lead to a relatively gradual and long-lasting response (<xref ref-type="bibr" rid="B46">46</xref>) and produce less cytokine release compared (<xref ref-type="bibr" rid="B47">47</xref>) with CD28, which may explain the smaller incidence of CRS in 4-1BB than other costimulatory molecules in our subgroup analysis. We also performed a subgroup analysis of ORR based on the antigen recognition domain origin of the CAR. The findings revealed that the effectiveness was similar in the Human group and Murine group, with no statistically significant difference, indicating that the species origin of the CAR antigen-recognition domain is not a major determinant of ORR of dual-target CAR-T therapy. However, Hu D et&#xa0;al. (2023) reported that humanized CAR-T cells were superior to those produced from murine as there are inherent limitations in the use of murine scFv-based CARs (<xref ref-type="bibr" rid="B36">36</xref>). Consequently, additional clinical studies are required to address this controversy.</p>
<p>In the subgroup analysis of conditioning treatment, nine of the trials were treated with Flu + Cy and three trials were treated with Busulfan + Cy. The results showed better efficacy in the Busulfan + Cy group. This may be due to Busulfan + Cy not only having myelosuppressive effects but also being anti-tumor to some extent (<xref ref-type="bibr" rid="B48">48</xref>), so using this as conditioning treatment before combined CAR-T cells infusion may have better efficacy. To explore whether infusion time would affect the results, we conducted a subgroup study. Among the 12 trials, except for one that did not mention the infusion time, five trials received BCMA CAR-T cells and CD19 CAR-T cells on the same day (three trials were infused in one day, and two trials were infused in three days). The remaining six trials received CD19 CAR-T cells on Day 0, 40% BCMA CAR-T cells given on Day 1, and 60% BCMA CAR-T cells given on Day 2. Although CAR-T cells were not infused on the same day, they all completed the infusion within a short period. The results showed that the difference caused by infusion time was not statistically significant.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>In summary, although considerable toxicity was observed, the combined anti-BCMA and anti-CD19 CAR-T therapy has a significant effect on the treatment for RRMM. Subgroup analysis revealed possible factors influencing efficacy and safety. These findings may inform the development of next-generation combined CAR-T cell therapy and the optimization of their clinical applications. Further, more well-designed clinical trials with large sample sizes are required to establish the role of combined CAR-T therapy in RRMM patients.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>HX: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. CG: Conceptualization, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing. PX: Conceptualization, Data curation, Software, Writing &#x2013; review &amp; editing. DZ: Project administration, Resources, Writing &#x2013; review &amp; editing. YX: Funding acquisition, Writing &#x2013; review &amp; editing. BC: Funding acquisition, Software, Writing &#x2013; review &amp; editing. HB: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This project was supported by grants from the National Natural Science Foundation of China (82000215), and the Nanjing Medical Science and Technique Development Foundation (YKK21097).</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="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="s11" 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.2024.1355643/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2024.1355643/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.tif" id="SM1" mimetype="image/tiff"/>
<supplementary-material xlink:href="Image_2.tif" id="SM2" mimetype="image/tiff"/>
<supplementary-material xlink:href="Image_3.tif" id="SM3" mimetype="image/tiff"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>R&#xf6;llig</surname> <given-names>C</given-names>
</name>
<name>
<surname>Knop</surname> <given-names>S</given-names>
</name>
<name>
<surname>Bornh&#xe4;user</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Multiple myeloma</article-title>. <source>Lancet</source>. (<year>2015</year>) <volume>385</volume>:<page-range>2197&#x2013;208</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(14)60493-1</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dimopoulos</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Jakubowiak</surname> <given-names>AJ</given-names>
</name>
<name>
<surname>McCarthy</surname> <given-names>PL</given-names>
</name>
<name>
<surname>Orlowski</surname> <given-names>RZ</given-names>
</name>
<name>
<surname>Attal</surname> <given-names>M</given-names>
</name>
<name>
<surname>Blad&#xe9;</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Developments in continuous therapy and maintenance treatment approaches for patients with newly diagnosed multiple myeloma</article-title>. <source>Blood Cancer J</source>. (<year>2020</year>) <volume>10</volume>:<fpage>17</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41408-020-0273-x</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chim</surname> <given-names>CS</given-names>
</name>
<name>
<surname>Kumar</surname> <given-names>SK</given-names>
</name>
<name>
<surname>Orlowski</surname> <given-names>RZ</given-names>
</name>
<name>
<surname>Cook</surname> <given-names>G</given-names>
</name>
<name>
<surname>Richardson</surname> <given-names>PG</given-names>
</name>
<name>
<surname>Gertz</surname> <given-names>MA</given-names>
</name>
<etal/>
</person-group>. <article-title>Management of relapsed and refractory multiple myeloma: novel agents, antibodies, immunotherapies and beyond</article-title>. <source>Leukemia</source>. (<year>2018</year>) <volume>32</volume>:<page-range>252&#x2013;62</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/leu.2017.329</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>W</given-names>
</name>
<name>
<surname>Li</surname> <given-names>D</given-names>
</name>
<name>
<surname>Niu</surname> <given-names>T</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>W</given-names>
</name>
</person-group>. <article-title>BCMA-targeting chimeric antigen receptor T-cell therapy for multiple myeloma</article-title>. <source>Cancer Lett</source>. (<year>2023</year>) <volume>553</volume>:<fpage>215949</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.canlet.2022.215949</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Roex</surname> <given-names>G</given-names>
</name>
<name>
<surname>Timmers</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wouters</surname> <given-names>K</given-names>
</name>
<name>
<surname>Campillo-Davo</surname> <given-names>D</given-names>
</name>
<name>
<surname>Flumens</surname> <given-names>D</given-names>
</name>
<name>
<surname>Schroyens</surname> <given-names>W</given-names>
</name>
<etal/>
</person-group>. <article-title>Safety and clinical efficacy of BCMA CAR-T-cell therapy in multiple myeloma</article-title>. <source>J Hematol Oncol</source>. (<year>2020</year>) <volume>13</volume>:<fpage>164</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s13045-020-01001-1</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Munshi</surname> <given-names>NC</given-names>
</name>
<name>
<surname>Anderson</surname> <given-names>LD</given-names> <suffix>Jr.</suffix>
</name>
<name>
<surname>Shah</surname> <given-names>N</given-names>
</name>
<name>
<surname>Madduri</surname> <given-names>D</given-names>
</name>
<name>
<surname>Berdeja</surname> <given-names>J</given-names>
</name>
<name>
<surname>Lonial</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Idecabtagene vicleucel in relapsed and refractory multiple myeloma</article-title>. <source>N Engl J Med</source>. (<year>2021</year>) <volume>384</volume>:<page-range>705&#x2013;16</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMoa2024850</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Berdeja</surname> <given-names>JG</given-names>
</name>
<name>
<surname>Madduri</surname> <given-names>D</given-names>
</name>
<name>
<surname>Usmani</surname> <given-names>SZ</given-names>
</name>
<name>
<surname>Jakubowiak</surname> <given-names>A</given-names>
</name>
<name>
<surname>Agha</surname> <given-names>M</given-names>
</name>
<name>
<surname>Cohen</surname> <given-names>AD</given-names>
</name>
<etal/>
</person-group>. <article-title>Ciltacabtagene autoleucel, a B-cell maturation antigen-directed chimeric antigen receptor T-cell therapy in patients with relapsed or refractory multiple myeloma (CARTITUDE-1): a phase 1b/2 open-label study</article-title>. <source>Lancet</source>. (<year>2021</year>) <volume>398</volume>:<page-range>314&#x2013;24</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(21)00933-8</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Xiao</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>CAR-T cell therapy in hematological Malignancies: Current opportunities and challenges</article-title>. <source>Front Immunol</source>. (<year>2022</year>) <volume>13</volume>:<elocation-id>927153</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2022.927153</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Boucher</surname> <given-names>K</given-names>
</name>
<name>
<surname>Parquet</surname> <given-names>N</given-names>
</name>
<name>
<surname>Widen</surname> <given-names>R</given-names>
</name>
<name>
<surname>Shain</surname> <given-names>K</given-names>
</name>
<name>
<surname>Baz</surname> <given-names>R</given-names>
</name>
<name>
<surname>Alsina</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Stemness of B-cell progenitors in multiple myeloma bone marrow</article-title>. <source>Clin Cancer Res an Off J Am Assoc Cancer Res</source>. (<year>2012</year>) <volume>18</volume>:<page-range>6155&#x2013;68</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/1078-0432.CCR-12-0531</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Paiva</surname> <given-names>B</given-names>
</name>
<name>
<surname>Puig</surname> <given-names>N</given-names>
</name>
<name>
<surname>Cedena</surname> <given-names>MT</given-names>
</name>
<name>
<surname>de Jong</surname> <given-names>BG</given-names>
</name>
<name>
<surname>Ruiz</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Rapado</surname> <given-names>I</given-names>
</name>
<etal/>
</person-group>. <article-title>Differentiation stage of myeloma plasma cells: biological and clinical significance</article-title>. <source>Leukemia</source>. (<year>2017</year>) <volume>31</volume>:<page-range>382&#x2013;92</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/leu.2016.211</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Garfall</surname> <given-names>AL</given-names>
</name>
<name>
<surname>Stadtmauer</surname> <given-names>EA</given-names>
</name>
<name>
<surname>Hwang</surname> <given-names>WT</given-names>
</name>
<name>
<surname>Lacey</surname> <given-names>SF</given-names>
</name>
<name>
<surname>Melenhorst</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Krevvata</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Anti-CD19 CAR T cells with high-dose melphalan and autologous stem cell transplantation for refractory multiple myeloma</article-title>. <source>JCI Insight</source>. (<year>2018</year>) <volume>3</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.1172/jci.insight.120505</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nerreter</surname> <given-names>T</given-names>
</name>
<name>
<surname>Letschert</surname> <given-names>S</given-names>
</name>
<name>
<surname>G&#xf6;tz</surname> <given-names>R</given-names>
</name>
<name>
<surname>Doose</surname> <given-names>S</given-names>
</name>
<name>
<surname>Danhof</surname> <given-names>S</given-names>
</name>
<name>
<surname>Einsele</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Super-resolution microscopy reveals ultra-low CD19 expression on myeloma cells that triggers elimination by CD19 CAR-T</article-title>. <source>Nat Commun</source>. (<year>2019</year>) <volume>10</volume>:<fpage>3137</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41467-019-10948-w</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yan</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>H</given-names>
</name>
<name>
<surname>Qiao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>A combination of humanised anti-CD19 and anti-BCMA CAR T cells in patients with relapsed or refractory multiple myeloma: a single-arm, phase 2 trial</article-title>. <source>Lancet Haematology</source>. (<year>2019</year>) <volume>6</volume>:<page-range>e521&#x2013;e29</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S2352-3026(19)30115-2</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yan</surname> <given-names>L</given-names>
</name>
<name>
<surname>Qu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Shang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>X</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Sequential CD19 and BCMA-specific CAR T-cell treatment elicits sustained remission of relapsed and/or refractory myeloma</article-title>. <source>Cancer Med</source>. (<year>2021</year>) <volume>10</volume>:<page-range>563&#x2013;74</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/cam4.3624</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Gu</surname> <given-names>W</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Lan</surname> <given-names>J</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>Z</given-names>
</name>
<etal/>
</person-group>. <article-title>Long-term follow-up of combination of B-cell maturation antigen and CD19 chimeric antigen receptor T cells in multiple myeloma</article-title>. <source>J Clin Oncol Off J Am Soc Clin Oncol</source>. (<year>2022</year>) <volume>40</volume>:<page-range>2246&#x2013;56</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1200/JCO.21.01676</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Moher</surname> <given-names>D</given-names>
</name>
<name>
<surname>Liberati</surname> <given-names>A</given-names>
</name>
<name>
<surname>Tetzlaff</surname> <given-names>J</given-names>
</name>
<name>
<surname>Altman</surname> <given-names>DG</given-names>
</name>
</person-group>. <article-title>Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement</article-title>. <source>PLoS Med</source>. (<year>2009</year>) <volume>6</volume>:<elocation-id>e1000097</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pmed.1000097</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Slim</surname> <given-names>K</given-names>
</name>
<name>
<surname>Nini</surname> <given-names>E</given-names>
</name>
<name>
<surname>Forestier</surname> <given-names>D</given-names>
</name>
<name>
<surname>Kwiatkowski</surname> <given-names>F</given-names>
</name>
<name>
<surname>Panis</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Chipponi</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Methodological index for non-randomized studies (minors): development and validation of a new instrument</article-title>. <source>ANZ J Surg</source>. (<year>2003</year>) <volume>73</volume>:<page-range>712&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1046/j.1445-2197.2003.02748.x</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cheng Cheng</surname> <given-names>F</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>D</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>G</given-names>
</name>
<name>
<surname>Yao</surname> <given-names>W</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Sequential CD19- and bcma-specific chimeric antigen receptor T cell treatment for RRMM: Report from a single center study</article-title>. <source>Blood</source>. (<year>2019</year>) <volume>134</volume>:<page-range>578&#x2013;78</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2019-129740</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Garfall</surname> <given-names>AL</given-names>
</name>
<name>
<surname>Cohen</surname> <given-names>AD</given-names>
</name>
<name>
<surname>Lacey</surname> <given-names>SF</given-names>
</name>
<name>
<surname>Tian</surname> <given-names>L</given-names>
</name>
<name>
<surname>Hwang</surname> <given-names>W-T</given-names>
</name>
<name>
<surname>Vogl</surname> <given-names>DT</given-names>
</name>
<etal/>
</person-group>. <article-title>Combination anti-bcma and anti-CD19 CAR T cells as consolidation of response to prior therapy in multiple myeloma</article-title>. <source>Blood</source>. (<year>2019</year>) <volume>134</volume>:<page-range>1863&#x2013;63</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2019-131515</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Garfall</surname> <given-names>AL</given-names>
</name>
<name>
<surname>Cohen</surname> <given-names>AD</given-names>
</name>
<name>
<surname>Susanibar-Adaniya</surname> <given-names>SP</given-names>
</name>
<name>
<surname>Hwang</surname> <given-names>WT</given-names>
</name>
<name>
<surname>Vogl</surname> <given-names>DT</given-names>
</name>
<name>
<surname>Waxman</surname> <given-names>AJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Anti-BCMA/CD19 CAR T cells with early immunomodulatory maintenance for multiple myeloma responding to initial or later-line therapy</article-title>. <source>Blood Cancer Discovery</source>. (<year>2023</year>) <volume>4</volume>:<page-range>118&#x2013;33</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/2643-3230.BCD-22-0074</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>H</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>L</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Yao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Li</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Prolonged hematological toxicity in patients receiving BCMA/CD19 CAR-T-cell therapy for relapsed or refractory multiple myeloma</article-title>. <source>Front Immunol</source>. (<year>2022</year>) <volume>13</volume>:<elocation-id>1019548</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2022.1019548</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ma</surname> <given-names>S</given-names>
</name>
<name>
<surname>Li</surname> <given-names>H</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>D</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Associations of granulocyte colony-stimulating factor with toxicities and efficacy of chimeric antigen receptor T-cell therapy in relapsed or refractory multiple myeloma</article-title>. <source>Cytotherapy</source>. (<year>2023</year>) <volume>25</volume>:<page-range>653&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jcyt.2023.01.011</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shi</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>L</given-names>
</name>
<name>
<surname>Shang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Combined infusion of anti-CD19 and anti-bcma CART cells after early or later transplantation in the front line was superior to salvage therapy for high risk MM</article-title>. <source>Blood</source>. (<year>2019</year>) <volume>134</volume>:<page-range>1949&#x2013;49</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2019-131546</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shi</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>L</given-names>
</name>
<name>
<surname>Shang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Anti-CD19 and anti-BCMA CAR T cell therapy followed by lenalidomide maintenance after autologous stem-cell transplantation for high-risk newly diagnosed multiple myeloma</article-title>. <source>Am J Hematol</source>. (<year>2022</year>) <volume>97</volume>:<page-range>537&#x2013;47</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ajh.26486</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shi</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>L</given-names>
</name>
<name>
<surname>Shang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Qu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Tandom autologous transplantation and combined infusion of CD19 and bcma-specific chimeric antigen receptor T cells for high risk MM: Initial safety and efficacy report from a clinical pilot study</article-title>. <source>Blood</source>. (<year>2018</year>) <volume>132</volume>:<page-range>1009&#x2013;09</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2018-99-117964</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhou</surname> <given-names>D</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>H</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>W</given-names>
</name>
<name>
<surname>Li</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Factors associated with infection events after chimeric antigen receptor T-cell therapy for relapsed or refractory multiple myeloma</article-title>. <source>J Infect Chemother</source>. (<year>2023</year>) <volume>29</volume>:<page-range>179&#x2013;85</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jiac.2022.10.012</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Raje</surname> <given-names>N</given-names>
</name>
<name>
<surname>Berdeja</surname> <given-names>J</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Siegel</surname> <given-names>D</given-names>
</name>
<name>
<surname>Jagannath</surname> <given-names>S</given-names>
</name>
<name>
<surname>Madduri</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Anti-BCMA CAR T-cell therapy bb2121 in relapsed or refractory multiple myeloma</article-title>. <source>New Engl J Med</source>. (<year>2019</year>) <volume>380</volume>:<page-range>1726&#x2013;37</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMoa1817226</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Brudno</surname> <given-names>JN</given-names>
</name>
<name>
<surname>Maric</surname> <given-names>I</given-names>
</name>
<name>
<surname>Hartman</surname> <given-names>SD</given-names>
</name>
<name>
<surname>Rose</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Lam</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>T cells genetically modified to express an anti-B-cell maturation antigen chimeric antigen receptor cause remissions of poor-prognosis relapsed multiple myeloma</article-title>. <source>J Clin Oncol Off J Am Soc Clin Oncol</source>. (<year>2018</year>) <volume>36</volume>:<page-range>2267&#x2013;80</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1200/JCO.2018.77.8084</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ali</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>V</given-names>
</name>
<name>
<surname>Maric</surname> <given-names>I</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Stroncek</surname> <given-names>DF</given-names>
</name>
<name>
<surname>Rose</surname> <given-names>JJ</given-names>
</name>
<etal/>
</person-group>. <article-title>T cells expressing an anti-B-cell maturation antigen chimeric antigen receptor cause remissions of multiple myeloma</article-title>. <source>Blood</source>. (<year>2016</year>) <volume>128</volume>:<page-range>1688&#x2013;700</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2016-04-711903</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sato</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ono</surname> <given-names>N</given-names>
</name>
<name>
<surname>Steeber</surname> <given-names>DA</given-names>
</name>
<name>
<surname>Pisetsky</surname> <given-names>DS</given-names>
</name>
<name>
<surname>Tedder</surname> <given-names>TF</given-names>
</name>
</person-group>. <article-title>CD19 regulates B lymphocyte signaling thresholds critical for the development of B-1 lineage cells and autoimmunity</article-title>. <source>J Immunol</source>. (<year>1996</year>) <volume>157</volume>:<page-range>4371&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4049/jimmunol.157.10.4371</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Matsui</surname> <given-names>W</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Barber</surname> <given-names>JP</given-names>
</name>
<name>
<surname>Brennan</surname> <given-names>S</given-names>
</name>
<name>
<surname>Smith</surname> <given-names>BD</given-names>
</name>
<name>
<surname>Borrello</surname> <given-names>I</given-names>
</name>
<etal/>
</person-group>. <article-title>Clonogenic multiple myeloma progenitors, stem cell properties, and drug resistance</article-title>. <source>Cancer Res</source>. (<year>2008</year>) <volume>68</volume>:<page-range>190&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/0008-5472.CAN-07-3096</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Matsui</surname> <given-names>W</given-names>
</name>
<name>
<surname>Huff</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Malehorn</surname> <given-names>MT</given-names>
</name>
<name>
<surname>Barber</surname> <given-names>J</given-names>
</name>
<name>
<surname>Tanhehco</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Characterization of clonogenic multiple myeloma cells</article-title>. <source>Blood</source>. (<year>2004</year>) <volume>103</volume>:<page-range>2332&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2003-09-3064</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dingli</surname> <given-names>D</given-names>
</name>
<name>
<surname>Pacheco</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Nowakowski</surname> <given-names>GS</given-names>
</name>
<name>
<surname>Kumar</surname> <given-names>SK</given-names>
</name>
<name>
<surname>Dispenzieri</surname> <given-names>A</given-names>
</name>
<name>
<surname>Hayman</surname> <given-names>SR</given-names>
</name>
<etal/>
</person-group>. <article-title>Relationship between depth of response and outcome in multiple myeloma</article-title>. <source>J Clin Oncol</source>. (<year>2007</year>) <volume>25</volume>:<page-range>4933&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1200/JCO.2007.11.7879</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>F</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>W</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Efficacy and Safety of CAR-T Therapy for Relapse or Refractory Multiple Myeloma: A systematic review and meta-analysis</article-title>. <source>Int J Med Sci</source>. (<year>2021</year>) <volume>18</volume>:<page-range>1786&#x2013;97</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.7150/ijms.46811</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>W</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Comprehensive meta-analysis of anti-BCMA chimeric antigen receptor T-cell therapy in relapsed or refractory multiple myeloma</article-title>. <source>Ann Med</source>. (<year>2021</year>) <volume>53</volume>:<page-range>1547&#x2013;59</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/07853890.2021.1970218</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hu</surname> <given-names>D</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>L</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>D</given-names>
</name>
<name>
<surname>Dong</surname> <given-names>W</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>M</given-names>
</name>
<name>
<surname>Niu</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Effectiveness and safety of anti-BCMA chimeric antigen receptor T-cell treatment in relapsed/refractory multiple myeloma: a comprehensive review and meta-analysis of prospective clinical trials</article-title>. <source>Front Pharmacol</source>. (<year>2023</year>) <volume>14</volume>:<elocation-id>1149138</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fphar.2023.1149138</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schubert</surname> <given-names>ML</given-names>
</name>
<name>
<surname>Schmitt</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Ramos</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Jordan</surname> <given-names>K</given-names>
</name>
<name>
<surname>M&#xfc;ller-Tidow</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Side-effect management of chimeric antigen receptor (CAR) T-cell therapy</article-title>. <source>Ann Oncol</source>. (<year>2021</year>) <volume>32</volume>:<fpage>34</fpage>&#x2013;<lpage>48</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.annonc.2020.10.478</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mikkilineni</surname> <given-names>L</given-names>
</name>
<name>
<surname>Kochenderfer</surname> <given-names>JN</given-names>
</name>
</person-group>. <article-title>Chimeric antigen receptor T-cell therapies for multiple myeloma</article-title>. <source>Blood</source>. (<year>2017</year>) <volume>130</volume>:<page-range>2594&#x2013;602</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2017-06-793869</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Brudno</surname> <given-names>JN</given-names>
</name>
<name>
<surname>Kochenderfer</surname> <given-names>JN</given-names>
</name>
</person-group>. <article-title>Recent advances in CAR T-cell toxicity: Mechanisms, manifestations and management</article-title>. <source>Blood Rev</source>. (<year>2019</year>) <volume>34</volume>:<fpage>45</fpage>&#x2013;<lpage>55</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.blre.2018.11.002</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gill</surname> <given-names>S</given-names>
</name>
<name>
<surname>Brudno</surname> <given-names>JN</given-names>
</name>
</person-group>. <article-title>CAR T-cell therapy in hematologic Malignancies: Clinical role, toxicity, and unanswered questions</article-title>. <source>Am Soc Clin Oncol Educ Book</source>. (<year>2021</year>) <volume>41</volume>:<fpage>1</fpage>&#x2013;<lpage>20</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1200/EDBK_320085</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Neelapu</surname> <given-names>SS</given-names>
</name>
<name>
<surname>Tummala</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kebriaei</surname> <given-names>P</given-names>
</name>
<name>
<surname>Wierda</surname> <given-names>W</given-names>
</name>
<name>
<surname>Gutierrez</surname> <given-names>C</given-names>
</name>
<name>
<surname>Locke</surname> <given-names>FL</given-names>
</name>
<etal/>
</person-group>. <article-title>Chimeric antigen receptor T-cell therapy - assessment and management of toxicities</article-title>. <source>Nat Rev Clin Oncol</source>. (<year>2018</year>) <volume>15</volume>:<fpage>47</fpage>&#x2013;<lpage>62</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrclinonc.2017.148</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xiang</surname> <given-names>X</given-names>
</name>
<name>
<surname>He</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Ou</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Efficacy and safety of CAR-modified T cell therapy in patients with relapsed or refractory multiple myeloma: A meta-analysis of prospective clinical trials</article-title>. <source>Front Pharmacol</source>. (<year>2020</year>) <volume>11</volume>:<elocation-id>544754</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fphar.2020.544754</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>van der Stegen</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Hamieh</surname> <given-names>M</given-names>
</name>
<name>
<surname>Sadelain</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>The pharmacology of second-generation chimeric antigen receptors</article-title>. <source>Nat Rev Drug Discovery</source>. (<year>2015</year>) <volume>14</volume>:<fpage>499</fpage>&#x2013;<lpage>509</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrd4597</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Jensen</surname> <given-names>M</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Sui</surname> <given-names>X</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>E</given-names>
</name>
<name>
<surname>Lindgren</surname> <given-names>CG</given-names>
</name>
<etal/>
</person-group>. <article-title>Optimizing adoptive polyclonal T cell immunotherapy of lymphomas, using a chimeric T cell receptor possessing CD28 and CD137 costimulatory domains</article-title>. <source>Hum Gene Ther</source>. (<year>2007</year>) <volume>18</volume>:<page-range>712&#x2013;25</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1089/hum.2007.028</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chester</surname> <given-names>C</given-names>
</name>
<name>
<surname>Sanmamed</surname> <given-names>MF</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Melero</surname> <given-names>I</given-names>
</name>
</person-group>. <article-title>Immunotherapy targeting 4-1BB: mechanistic rationale, clinical results, and future strategies</article-title>. <source>Blood</source>. (<year>2018</year>) <volume>131</volume>:<fpage>49</fpage>&#x2013;<lpage>57</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2017-06-741041</pub-id>
</citation>
</ref>
<ref id="B46">
<label>46</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ying</surname> <given-names>Z</given-names>
</name>
<name>
<surname>He</surname> <given-names>T</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>W</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>N</given-names>
</name>
<name>
<surname>Tu</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Parallel comparison of 4-1BB or CD28 co-stimulated CD19-targeted CAR-T cells for B cell non-hodgkin's lymphoma</article-title>. <source>Mol Ther Oncolytics</source>. (<year>2019</year>) <volume>15</volume>:<page-range>60&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.omto.2019.08.002</pub-id>
</citation>
</ref>
<ref id="B47">
<label>47</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cappell</surname> <given-names>KM</given-names>
</name>
<name>
<surname>Kochenderfer</surname> <given-names>JN</given-names>
</name>
</person-group>. <article-title>A comparison of chimeric antigen receptors containing CD28 versus 4-1BB costimulatory domains</article-title>. <source>Nat Rev Clin Oncol</source>. (<year>2021</year>) <volume>18</volume>:<page-range>715&#x2013;27</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41571-021-00530-z</pub-id>
</citation>
</ref>
<ref id="B48">
<label>48</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Copelan</surname> <given-names>EA</given-names>
</name>
<name>
<surname>Hamilton</surname> <given-names>BK</given-names>
</name>
<name>
<surname>Avalos</surname> <given-names>B</given-names>
</name>
<name>
<surname>Ahn</surname> <given-names>KW</given-names>
</name>
<name>
<surname>Bolwell</surname> <given-names>BJ</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>Better leukemia-free and overall survival in AML in first remission following cyclophosphamide in combination with busulfan compared with TBI</article-title>. <source>Blood</source>. (<year>2013</year>) <volume>122</volume>:<page-range>3863&#x2013;70</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2013-07-514448</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>